The largest slip in great megathrust earthquakes often occurs in the 10–30 km depth range, yet seismic imaging of the material properties in this region has proven difficult. We utilize a dense onshore-offshore passive seismic dataset from the southernmost Cascadia subduction zone where seismicity in the mantle of the subducted Gorda Plate produces S-to-P and P-to-S conversions generated within a few km of the plate interface. These conversions typically occur in the 10–20 km depth range at either the top or bottom of a ∼5 km thick layer with a high Vp/Vs that we infer to be primarily the subducted crust. We use their arrival times and amplitudes to infer the location of the top and bottom of the subducted crust as well as the velocity contrasts across these discontinuities. Comparing with both the Slab1.0 and the updated Slab2 interface models, the Slab2 model is generally consistent with the converted phases, while the Slab1.0 model is 1–2 km deeper in the 2–20 km depth range and ∼6–8 km too deep in the 10–20 km depth range between 40.25°N and 40.4°N. Comparing the amplitudes of the converted phases to synthetics for simplified velocity structures, the amplitude of the converted phases requires models containing a ∼5 km thick zone with at least a ∼10%–20% reduction in S wave velocity. Thus, the plate boundary is likely contained within or at the top of this low velocity zone, which potentially indicates a significant porosity and fluid content within the seismogenic zone.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB019962","usgsCitation":"Gong, J., and McGuire, J., 2021, Constraints on the geometry of the subducted Gorda Plate with converted phases generated by local earthquakes: JGR Solid Earth, v. 126, no. 2, e2020JB019962, 23 p., https://doi.org/10.1029/2020JB019962.","productDescription":"e2020JB019962, 23 p.","ipdsId":"IP-114309","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":453718,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2020jb019962","text":"External Repository"},{"id":419501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Gorda Plate","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.5,\n 41\n ],\n [\n -125.5,\n 40\n ],\n [\n -124,\n 40\n ],\n [\n -124,\n 41\n ],\n [\n -125.5,\n 41\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"126","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Gong, Jianhua","contributorId":317847,"corporation":false,"usgs":false,"family":"Gong","given":"Jianhua","email":"","affiliations":[{"id":34004,"text":"Scripps Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":879445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":219786,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":879446,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70217673,"text":"70217673 - 2021 - Advancing the national fish, wildlife, and plants climate adaptation strategy into a new decade","interactions":[],"lastModifiedDate":"2021-01-28T14:11:17.05977","indexId":"70217673","displayToPublicDate":"2021-01-25T08:05:57","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Advancing the national fish, wildlife, and plants climate adaptation strategy into a new decade","docAbstract":"No abstract available.
","language":"English","publisher":"Association of Fish and Wildlife Agencies","usgsCitation":"Burns, J., Camel-Means, W., Cooley, N., Cozzetto, K., Croll, R., Delach, A., Ernest Johnson, M., Griffis, R., Langston, M.A., Marks-Marino, D., Melvin, T., Novak, R., Newman, R., Rubenstein, M.A., and Weber, T., 2021, Advancing the national fish, wildlife, and plants climate adaptation strategy into a new decade, 92 p.","productDescription":"92 p.","ipdsId":"IP-125299","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":382756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":382755,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fishwildlife.org/afwa-inspires/climate-adaptation-network"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burns, Joe","contributorId":248470,"corporation":false,"usgs":false,"family":"Burns","given":"Joe","email":"","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":809221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camel-Means, Whisper","contributorId":248472,"corporation":false,"usgs":false,"family":"Camel-Means","given":"Whisper","email":"","affiliations":[{"id":49924,"text":"Confederated Salish and Kootenai Tribes","active":true,"usgs":false}],"preferred":false,"id":809222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooley, Nikki","contributorId":248473,"corporation":false,"usgs":false,"family":"Cooley","given":"Nikki","email":"","affiliations":[{"id":49926,"text":"Institute for Tribal Environmental Professionals","active":true,"usgs":false}],"preferred":false,"id":809223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cozzetto, Karen","contributorId":248474,"corporation":false,"usgs":false,"family":"Cozzetto","given":"Karen","affiliations":[{"id":49926,"text":"Institute for Tribal Environmental Professionals","active":true,"usgs":false}],"preferred":false,"id":809224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Croll, Rob","contributorId":248475,"corporation":false,"usgs":false,"family":"Croll","given":"Rob","email":"","affiliations":[{"id":16233,"text":"Great Lakes Indian Fish and Wildlife Commission","active":true,"usgs":false}],"preferred":false,"id":809225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delach, Aimee","contributorId":248476,"corporation":false,"usgs":false,"family":"Delach","given":"Aimee","email":"","affiliations":[{"id":16937,"text":"Defenders of Wildlife","active":true,"usgs":false}],"preferred":false,"id":809226,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ernest Johnson, Maggie","contributorId":248477,"corporation":false,"usgs":false,"family":"Ernest Johnson","given":"Maggie","email":"","affiliations":[{"id":49927,"text":"Association of Fish and Wildlife Agencies","active":true,"usgs":false}],"preferred":false,"id":809227,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Griffis, Roger","contributorId":149218,"corporation":false,"usgs":false,"family":"Griffis","given":"Roger","email":"","affiliations":[{"id":17676,"text":"NOAA Fisheries Service, Silver Spring, MD","active":true,"usgs":false}],"preferred":false,"id":809228,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Langston, Michael A 0000-0001-5945-5796","orcid":"https://orcid.org/0000-0001-5945-5796","contributorId":248478,"corporation":false,"usgs":true,"family":"Langston","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":49928,"text":"South Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":809229,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Marks-Marino, Dara","contributorId":248512,"corporation":false,"usgs":false,"family":"Marks-Marino","given":"Dara","email":"","affiliations":[],"preferred":false,"id":809293,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Melvin, Tracy","contributorId":248513,"corporation":false,"usgs":false,"family":"Melvin","given":"Tracy","affiliations":[],"preferred":false,"id":809294,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Novak, Rachael","contributorId":199016,"corporation":false,"usgs":false,"family":"Novak","given":"Rachael","email":"","affiliations":[],"preferred":false,"id":809295,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Newman, Robert","contributorId":248514,"corporation":false,"usgs":false,"family":"Newman","given":"Robert","affiliations":[],"preferred":false,"id":809296,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rubenstein, Madeleine A. 0000-0001-8569-781X mrubenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-8569-781X","contributorId":203206,"corporation":false,"usgs":true,"family":"Rubenstein","given":"Madeleine","email":"mrubenstein@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":809230,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Weber, Ted","contributorId":248515,"corporation":false,"usgs":false,"family":"Weber","given":"Ted","email":"","affiliations":[],"preferred":false,"id":809297,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70219146,"text":"70219146 - 2021 - Why disease ecology needs life-history theory: A host perspective","interactions":[],"lastModifiedDate":"2021-03-25T12:42:33.984268","indexId":"70219146","displayToPublicDate":"2021-01-25T07:40:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Why disease ecology needs life-history theory: A host perspective","docAbstract":"When facing an emerging infectious disease of conservation concern, we often have little information on the nature of the host‐parasite interaction to inform management decisions. However, it is becoming increasingly clear that the life‐history strategies of host species can be predictive of individual‐ and population‐level responses to infectious disease, even without detailed knowledge on the specifics of the host‐parasite interaction. Here, we argue that a deeper integration of life‐history theory into disease ecology is timely and necessary to improve our capacity to understand, predict and mitigate the impact of endemic and emerging infectious diseases in wild populations. Using wild vertebrates as an example, we show that host life‐history characteristics influence host responses to parasitism at different levels of organisation, from individuals to communities. We also highlight knowledge gaps and future directions for the study of life‐history and host responses to parasitism. We conclude by illustrating how this theoretical insight can inform the monitoring and control of infectious diseases in wildlife.
Hazards from induced earthquakes are a growing concern with a need for effective management. One aspect of that concern is the “nuisance” from unexpected ground motions, which have the potential to cause public alarm and discontent. In this article, we borrow earthquake engineering concepts to quantify the chance of building damage states and adapt them to quantify felt thresholds for induced earthquakes in the Central and Eastern United States. We compare binary data of felt or not-felt reports from the “Did You Feel It” database with ShakeMap ground motion intensity measures (IM) for ∼360 earthquakes. We use a Monte Carlo logistic regression to discern the likelihood of perceiving various degrees of felt intensity, given a particular IM. These best-fit nuisance functions are reported in this article and are readily transferable. Of the shaking types considered, we find that peak ground velocity tends to be the best predictor of a felt earthquake. We also find that felt thresholds tended to decrease with increasing earthquake magnitude, after M ∼3.9. We interpret this effect as related to the duration of the event, where events smaller than M 3.9 are perceived as “impulsive” to the human senses. Improved quantification of the nuisance from induced earthquake ground motions could be utilized in management of the public perception of their causal operations. Although aimed at anthropogenic earthquakes, thresholds we derive could be useful in other realms, such as establishing best practices and protocols for earthquake early warning.
Leaf-level gas exchange data support the mechanistic understanding of plant fluxes of carbon and water. These fluxes inform our understanding of ecosystem function, are an important constraint on parameterization of terrestrial biosphere models, are necessary to understand the response of plants to global environmental change, and are integral to efforts to improve crop production. Collection of these data using gas analyzers can be both technically challenging and time consuming, and individual studies generally focus on a small range of species, restricted time periods, or limited geographic regions. The high value of these data is exemplified by the many publications that reuse and synthesize gas exchange data, however the lack of metadata and data reporting conventions make full and efficient use of these data difficult. Here we propose a reporting format for leaf-level gas exchange data and metadata to provide guidance to data contributors on how to store data in repositories to maximize their discoverability, facilitate their efficient reuse, and add value to individual datasets. For data users, the reporting format will better allow data repositories to optimize data search and extraction, and more readily integrate similar data into harmonized synthesis products. The reporting format specifies data table variable naming and unit conventions, as well as metadata characterizing experimental conditions and protocols. For common data types that were the focus of this initial version of the reporting format, i.e., survey measurements, dark respiration, carbon dioxide and light response curves, and parameters derived from those measurements, we took a further step of defining required additional data and metadata that would maximize the potential reuse of those data types. To aid data contributors and the development of data ingest tools by data repositories we provided a translation table comparing the outputs of common gas exchange instruments. Extensive consultation with data collectors, data users, instrument manufacturers, and data scientists was undertaken in order to ensure that the reporting format met community needs. The reporting format presented here is intended to form a foundation for future development that will incorporate additional data types and variables as gas exchange systems and measurement approaches advance in the future. The reporting format is published in the U.S. Department of Energy's ESS-DIVE data repository, with documentation and future development efforts being maintained in a version control system.
The sea and land change elevation spatially and temporally from a multitude of processes, so it is necessary to constrain the movement of both to evaluate how coastlines will evolve and how those evolving coastlines will impact the natural and built environment over time. We combine land movement observations from global navigation satellite systems (GNSSs), leveling of geodetic monuments, and tide gauge records with a tectonic model of the Cascadia subduction zone to constrain absolute rates of vertical land movement in coastal Washington. We infer rates of vertical land movement in areas lacking direct observations by interpolating high-quality land movement observations and a discretely sampled interseismic locking model. Here we present a model of absolute vertical land movement that is combined with sea level rise estimates to inform local relative sea level projections on a community-scale. The most rapid vertical uplift (~3.5 mm/year) of the land is found across the northwest Olympic Peninsula, which currently outpaces sea level rise. Conversely, some areas, including a stretch of the northern Pacific Ocean coast from La Push to Kalaloch and the southern Puget Sound, are found to be subsiding at 0.5–1.0 mm/year, exacerbating the rate of relative sea level rise and thereby increasing the vulnerability of coastal communities.
","language":"English","publisher":"MDPI","doi":"10.3390/w13030281","usgsCitation":"Newton, T., Weldon, R.J., Miller, I.M., Schmidt, D., Morgan, H., Mauger, G.S., and Grossman, E., 2021, An assessment of vertical land movement to support coastal hazards planning in Washington state: Water (MDPI), v. 13, no. 3, 18 p., https://doi.org/10.3390/w13030281.","productDescription":"18 p.","ipdsId":"IP-124927","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":453737,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w13030281","text":"Publisher Index Page"},{"id":383609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Seattle area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.26660156249999,\n 48.980216985374994\n ],\n [\n -123.24462890625,\n 48.268569112964336\n ],\n [\n -124.73876953125,\n 48.50204750525715\n ],\n [\n -124.892578125,\n 46.875213396722685\n ],\n [\n -122.9150390625,\n 46.76996843356982\n ],\n [\n -121.06933593749999,\n 47.17477833929903\n ],\n [\n -121.17919921875001,\n 48.705462895790546\n ],\n [\n -121.1572265625,\n 49.05227025601607\n ],\n [\n -123.26660156249999,\n 48.980216985374994\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Newton, Tyler","contributorId":252548,"corporation":false,"usgs":false,"family":"Newton","given":"Tyler","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":810903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weldon, Ray J.","contributorId":175463,"corporation":false,"usgs":false,"family":"Weldon","given":"Ray","email":"","middleInitial":"J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":810910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":810911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, David","contributorId":7596,"corporation":false,"usgs":true,"family":"Schmidt","given":"David","affiliations":[],"preferred":false,"id":810912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morgan, Harriet","contributorId":252550,"corporation":false,"usgs":false,"family":"Morgan","given":"Harriet","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":810913,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grossman, Eric 0000-0003-3911-995X egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-3911-995X","contributorId":252549,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":810904,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mauger, Guillaume S.","contributorId":138608,"corporation":false,"usgs":false,"family":"Mauger","given":"Guillaume","email":"","middleInitial":"S.","affiliations":[{"id":12463,"text":"Climate Impacts Group, College of the Environment, University of Washington","active":true,"usgs":false}],"preferred":false,"id":810914,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70217888,"text":"70217888 - 2021 - Have sustained acidic deposition decreases led to increased calcium availability in recovering watersheds of the Adirondack region of New York, USA?","interactions":[],"lastModifiedDate":"2021-02-09T13:26:08.169873","indexId":"70217888","displayToPublicDate":"2021-01-23T07:23:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5626,"text":"Soil Systems","active":true,"publicationSubtype":{"id":10}},"title":"Have sustained acidic deposition decreases led to increased calcium availability in recovering watersheds of the Adirondack region of New York, USA?","docAbstract":"Soil calcium depletion has been strongly linked to acidic deposition in eastern North America and recent studies have begun to document the recovery of soils in response to large decreases in acidic deposition. However, increased calcium availability has not yet been seen in the B horizon, where calcium depletion has been most acute, but mineral weathering is critically important for resupplying ecosystem calcium. This study provides new data in seven watersheds in the Adirondack region (New York, USA), where acidic deposition impacts on soils and surface waters have been substantial and recovery remains slow. Initial sampling in 1997–1998 and 2003–2004 was repeated in 2009–2010, 2014, 2016 and 2017. Exchangeable calcium concentrations increased by an average of 43% in the Oe horizon of three watersheds where this horizon was sampled (10.7–15.3 cmolc kg−1). Changes in calcium were not seen in the individual watersheds of the Oa and B horizons, but as a group, a significant increase in calcium was measured in the upper B horizon. Liming of a calcium-depleted watershed also tripled calcium concentration in the upper B horizon in 5 years. However, stream calcium in unlimed watersheds decreased over the study period. Small increases in B-horizon calcium may be underway
","language":"English","publisher":"MDPI","doi":"10.3390/soilsystems5010006","usgsCitation":"Lawrence, G.B., Siemion, J., Antidormi, M.R., Bonville, D.B., and McHale, M., 2021, Have sustained acidic deposition decreases led to increased calcium availability in recovering watersheds of the Adirondack region of New York, USA?: Soil Systems, v. 5, no. 1, 6, 23 p., https://doi.org/10.3390/soilsystems5010006.","productDescription":"6, 23 p.","ipdsId":"IP-123192","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":453740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/soilsystems5010006","text":"Publisher Index Page"},{"id":383149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.69580078125001,\n 43.77109381775648\n ],\n [\n -75.06958007812501,\n 42.988576458321816\n ],\n [\n -73.32275390625,\n 43.11702412135048\n ],\n [\n -73.1689453125,\n 45.07352060670971\n ],\n [\n -74.89379882812501,\n 44.91035917458492\n ],\n [\n -75.69580078125001,\n 43.77109381775648\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siemion, Jason 0000-0001-5635-6469 jsiemion@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-6469","contributorId":127562,"corporation":false,"usgs":true,"family":"Siemion","given":"Jason","email":"jsiemion@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Antidormi, Michael R. 0000-0002-3967-1173 mantidormi@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-1173","contributorId":150722,"corporation":false,"usgs":true,"family":"Antidormi","given":"Michael","email":"mantidormi@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonville, Donald B. 0000-0003-4480-9381","orcid":"https://orcid.org/0000-0003-4480-9381","contributorId":248849,"corporation":false,"usgs":true,"family":"Bonville","given":"Donald","email":"","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McHale, Michael 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":177292,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810071,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217708,"text":"70217708 - 2021 - In vitro effects-based method and water quality screening model for use in pre- and post-distribution treated waters","interactions":[],"lastModifiedDate":"2021-02-17T22:08:26.656546","indexId":"70217708","displayToPublicDate":"2021-01-23T07:19:33","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"In vitro effects-based method and water quality screening model for use in pre- and post-distribution treated waters","docAbstract":"Recent urban public water supply contamination events emphasize the importance of screening treated drinking water quality after distribution. In vitro bioassays, when run concurrently with analytical chemistry methods, are effective tools to evaluating the efficacy of water treatment processes and water quality. We tested 49 water samples representing the Chicago Department of Water Management service areas for estrogen, (anti)androgen, glucocorticoid receptor-activating contaminants and cytotoxicity. We present a tiered screening approach suitable to samples with anticipated low-level activity and initially tested all extracts for statistically identifiable endocrine activity; performing a secondary dilution-response analysis to determine sample EC50 and biological equivalency values (BioEq). Estrogenic activity was detected in untreated Lake Michigan intake water samples using mammalian (5/49; median: 0.21 ng E2Eq/L) and yeast cell (5/49; 1.78 ng E2Eq/L) bioassays. A highly sensitive (anti)androgenic activity bioassay was applied for the first time to water quality screening and androgenic activity was detected in untreated intake and treated pre-distribution samples (4/49; 0.93 ng DHTEq/L). No activity was identified above method detection limits in the yeast androgenic, mammalian anti-androgenic, and both glucocorticoid bioassays. Known estrogen receptor agonists were detected using HPLC/MS-MS (estrone: 0.72-1.4 ng/L; 17α-estradiol: 1.3-1.5 ng/L; 17β-estradiol: 1.4 ng/L; equol: 8.8 ng/L), however occurrence did not correlate with estrogenic bioassay results. Many studies have applied bioassays to water quality monitoring using only relatively small samples sets often collected from surface and/or wastewater effluent. However, to realistically adapt these tools to treated water quality monitoring, water quality managers must have the capacity to screen potentially hundreds of samples in short timeframes. Therefore, we provided a tiered screening model that increased sample screening speed, without sacrificing statistical stringency, and detected estrogenic and androgenic activity only in pre-distribution Chicago area samples.
Populations of cold‐adapted species at the trailing edges of geographic ranges are particularly vulnerable to the negative effects of climate change from the combination of exposure to warm temperatures and high sensitivity to heat. Many of these species are predicted to decline under future climate scenarios, but they could persist if they can adapt to warming climates either physiologically or behaviourally. We aim to understand local variation in contemporary habitat use and use this information to identify signs of adaptive capacity. We focus on moose (Alces alces), a charismatic species of conservation and public interest.
The northeastern United States, along the trailing edge of the moose geographic range in North America.
We compiled data on occurrences and habitat use of moose from remote cameras and GPS collars across the northeastern United States. We use these data to build habitat suitability models at local and regional spatial scales and then to predict future habitat suitability under climate change. We also use fine‐scale GPS data to model relationships between habitat use and temperature on a daily temporal scale and to predict future habitat use.
We find that habitat suitability for moose will decline under a range of climate change scenarios. However, moose across the region differ in their use of climatic and habitat space, indicating that they could exhibit adaptive capacity. We also find evidence for behavioural responses to weather, where moose increase their use of forested wetland habitats in warmer places and/or times.
Remote sensing satellite Earth Observing Systems (EOS) provide a variety of products for monitoring Earth surface processes at varying spatial and spectral resolutions. Combining information from high and medium spatial resolution images is valuable for monitoring ground cover and vegetation status in cropland, grassland, forests, and other natural settings. However, coupling information from different EOS requires compensating for atmospheric and view angle effects before integrating comparable surface reflectance (SR) values. The objectives of this study were i) to assess how different atmospheric constituents affect the atmospheric correction results in Sentinel-2 and WorldView-3 imagery, ii) to establish a relationship with field spectra measurements, and iii) to develop an empirical approach to ensure that SR values extracted from different EOS can be normalized for use in monitoring vegetation and land cover status. We compared surface reflectance values derived from Sentinel-2 images corrected with Sen2Cor, MODTRAN or FLAASH atmospheric correction approaches for the visible-to-near infrared regions. Additionally, this information was compared to SR values extracted from WorldView-3 imagery acquired from the same dates and location (Central Spain) and corrected with MODTRAN and FLAASH approaches. Assessment of the atmospheric correction was conducted by comparing satellite image SR with ground-truth spectra acquired with a FieldSpec hand-held spectroradiometer. The results emphasized the importance of using common atmospheric parameters collected from ancillary data sources (i.e. MODIS Atmosphere & Land products) to ensure a reliable SR comparison. When compared to field-collected spectral data, SR from corrected Sentinel-2 push-broom imagery showed a reliable match (<4% difference in the visible bands and <0.52% difference in the near infrared bands). However, SR imagery from the pointable WorldView-3 instrument showed significant deviation, likely resulting from the effects of steep off-nadir acquisition angles (24.6° to 39.1°) combined with surface anisotropy. The magnitude and sign of the deviation in SR differed depending on the vegetation type, wavelength and sun-surface-sensor geometry. Therefore, it was necessary to account for angular effects to ensure reliable comparisons of imagery from the different EOS. In this study, an empirical angular correction approach was developed based on calibrating each WorldView-3 band against the ground-truth spectra. This correction allowed for the accurate signal normalization of WorldView-3 and Sentinel-2 imagery SR in the visible-to-near infrared regions.
Yellowstone Lake in Yellowstone National Park, USA, has the longest ongoing suppression program for non-native lake trout (Salvelinus namaycush) in the western USA. Harvest data from the suppression program, along with data from an assessment program initiated in 2011, was used to estimate lake trout abundance and mortality rates. Abundance and biomass estimates were used to estimate stock–recruitment dynamics, which were inputs to a simulation model forecasting responses to continued suppression. Abundance increased during 1998–2012 when total annual mortality exceeded 0.59 and declined thereafter. The fishing mortality rate required to reduce abundance was 67% greater than predicted by models that used prerecruit survival estimates from the lake trout’s native range. Prerecruit survival in Yellowstone Lake was estimated at four to six times greater than native range survival rates. Simulated abundance continued to decline if recent suppression efforts were maintained. High prerecruit survival in Yellowstone Lake likely illustrates ecological release for an invasive species in an ecosystem containing few predators or competitors and demonstrates the potential pitfalls of assuming equal demographic rates for native and non-native populations.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2019-0306","usgsCitation":"Syslo, J.M., Brenden, T., Guy, C.S., Koel, T.M., Bigelow, P., Doepke, P.D., Arnold, J., and Brian D. Ertel, 2021, Could ecological release buffer suppression efforts for non-native lake trout (Salvelinus namaycush) in Yellowstone Lake, Yellowstone National Park?: Canadian Journal of Fisheries and Aquatic Sciences, v. 77, no. 6, p. 1010-1025, https://doi.org/10.1139/cjfas-2019-0306.","productDescription":"16 p.","startPage":"1010","endPage":"1025","ipdsId":"IP-112126","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":501016,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/99788","text":"External Repository"},{"id":395909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake, Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.654296875,\n 44.27273816279087\n ],\n [\n -110.1983642578125,\n 44.27273816279087\n ],\n [\n -110.1983642578125,\n 44.574817404670306\n ],\n [\n -110.654296875,\n 44.574817404670306\n ],\n [\n -110.654296875,\n 44.27273816279087\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Syslo, John M.","contributorId":276045,"corporation":false,"usgs":false,"family":"Syslo","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":834517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenden, Travis O.","contributorId":276046,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis O.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":834518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koel, Todd M","contributorId":276047,"corporation":false,"usgs":false,"family":"Koel","given":"Todd","email":"","middleInitial":"M","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bigelow, Patricia E.","contributorId":276048,"corporation":false,"usgs":false,"family":"Bigelow","given":"Patricia E.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834520,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doepke, Philip D","contributorId":276049,"corporation":false,"usgs":false,"family":"Doepke","given":"Philip","email":"","middleInitial":"D","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834521,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arnold, Jeffrey L.","contributorId":276050,"corporation":false,"usgs":false,"family":"Arnold","given":"Jeffrey L.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834522,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brian D. Ertel","contributorId":276051,"corporation":false,"usgs":false,"family":"Brian D. Ertel","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":834523,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70213169,"text":"70213169 - 2021 - The history of surface-elevation paradigms in mangrove biogeomorphology","interactions":[],"lastModifiedDate":"2021-01-25T17:52:59.973859","indexId":"70213169","displayToPublicDate":"2021-01-22T11:49:20","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"The history of surface-elevation paradigms in mangrove biogeomorphology","docAbstract":"Positioned in the intertidal zone, mangrove forests are a key model ecosystem with which to observe and test biogeomorphological concepts. Understanding how mangroves interact with their intertidal environment, particularly tidal inundation, is important if we are to assess their vulnerability or resilience to accelerated sea-level rise. While various biogeomorphological processes are now well studied in mangroves, these are not new concepts, and researchers often do not adequately describe their historical origins. This chapter discusses the historical context of two key paradigms in mangrove biogeomorphology: (1) the distribution of mangroves across the intertidal zone is controlled primarily by tidal inundation and (2) mangroves can adjust their elevation relative to the tidal frame through a combination of minerogenic and biogenic processes. The first paradigm had been noted as early as 350 BC, and studied quantitatively since at least the 1920s in Malaysia. The concept of “Inundation Classes” introduced at that time is still used by mangrove restoration practitioners today. The second paradigm has its roots in debates over whether mangroves are “land builders” or “land consolidators” in the early 20th century, and our view of this paradigm is strongly influenced by the geomorphic setting in which we work. It is important for us to understand the historical underpinnings of mangrove science and how they have shaped the paradigms that we use today. At a time when the mangrove research field is rapidly expanding, it is also important to acknowledge the intellectual contribution of researchers upon which we build today's science.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic sedimentary environments of mangrove coasts","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-816437-2.00007-0","usgsCitation":"Friess, D., and McKee, K.L., 2021, The history of surface-elevation paradigms in mangrove biogeomorphology, chap. 7 of Dynamic sedimentary environments of mangrove coasts, p. 179-198, https://doi.org/10.1016/B978-0-12-816437-2.00007-0.","productDescription":"20 p.","startPage":"179","endPage":"198","ipdsId":"IP-099892","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":382563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Friess, Daniel A.","contributorId":35454,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel A.","affiliations":[{"id":25407,"text":"Department of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":798485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKee, Karen L. 0000-0001-7042-670X mckeek@usgs.gov","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":704,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"mckeek@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":798486,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70216925,"text":"70216925 - 2021 - Does geomorphology determine vulnerability of mangrove coasts to sea-level rise?","interactions":[],"lastModifiedDate":"2021-01-25T16:39:18.344893","indexId":"70216925","displayToPublicDate":"2021-01-22T10:36:57","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Does geomorphology determine vulnerability of mangrove coasts to sea-level rise?","docAbstract":"The greatest climate-based threat to coastlines worldwide is sea-level rise. We tested the hypothesis that tropical coasts fringed by mangroves and receiving high inputs of terrigenous sediment are less vulnerable to sea-level rise than biogenic systems dependent upon peat formation for vertical land development. An analysis of published data spanning a range of geomorphic settings showed that mineral accretion was a poor predictor of vulnerability to rising sea level. We additionally compared two oceanic island systems representing two extremes along this sediment gradient to further examine controls on elevation dynamics in minerogenic versus biogenic mangrove systems. Minerogenic systems characterized by intermediate to high rates of mineral sedimentation (Pacific high islands in Micronesia) were not better buffered against sea-level rise because of high subsidence rates. Peat-forming systems (Caribbean low islands in Belize) kept pace with relative sea-level rise (combined ocean and land movements) because of subsurface expansion driven by root matter accumulation. The data were not consistent with the paradigm that tropical coastlines characterized by peat-forming mangroves are generally more vulnerable to sea-level rise compared to minerogenic systems; however, they are not necessarily equally sensitive to the same external and internal forces controlling soil elevations. Our findings demonstrate that reliance on surface accretion data alone can lead to an inaccurate evaluation of coastal vulnerability and why all surface and subsurface land movements must be considered in relation to local sea-level trends to assess risk of submergence. Recognition of such differences is essential to proper management of tropical coastlines to ensure their resilience in the face of future sea-level rise.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic Sedimentary Environments of Mangrove Coasts","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-816437-2.00005-7","collaboration":"None","usgsCitation":"McKee, K., Krauss, K., and Cahoon, D., 2021, Does geomorphology determine vulnerability of mangrove coasts to sea-level rise?, chap. 11 of Dynamic Sedimentary Environments of Mangrove Coasts, p. 255-272, https://doi.org/10.1016/B978-0-12-816437-2.00005-7.","productDescription":"18 p.","startPage":"255","endPage":"272","ipdsId":"IP-101764","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":382553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McKee, Karen L. 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":245747,"corporation":false,"usgs":false,"family":"McKee","given":"Karen L.","affiliations":[{"id":49309,"text":"USGS Emeritus - Wetland and Aquatic Research Center","active":true,"usgs":false}],"preferred":false,"id":806967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219804,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":806968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":219657,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":806969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229446,"text":"70229446 - 2021 - Presence of microplastics in the food web of the largest high-elevation lake in North America","interactions":[],"lastModifiedDate":"2022-03-09T16:02:06.757099","indexId":"70229446","displayToPublicDate":"2021-01-22T09:56:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Presence of microplastics in the food web of the largest high-elevation lake in North America","docAbstract":"Microplastics have been documented in aquatic and terrestrial ecosystems throughout the world. However, few studies have investigated microplastics in freshwater fish diets. In this study, water samples and three trophic levels of a freshwater food web were investigated for microplastic presence: amphipods (Gammarus lacustris), Yellowstone cutthroat trout (Oncorhynchus clarkii bouvieri), and lake trout (Salvelinus namaycush). Microplastics and other anthropogenic materials were documented in water samples, amphipods, and fish, then confirmed using FTIR (Fourier-transform infrared) and Raman spectroscopy. Our findings confirmed the presence of microplastics and other anthropogenic materials in three trophic levels of a freshwater food web in a high-elevation lake in a national park, which corroborates recent studies implicating the global distribution of microplastics. This study further illustrates the need for global action regarding the appropriate manufacturing, use, and disposal of plastics to minimize the effects of plastics on the environment.
","language":"English","publisher":"MDPI","doi":"10.3390/w13030264","usgsCitation":"Driscoll, S.C., Glassic, H., Guy, C.S., and Koel, T.M., 2021, Presence of microplastics in the food web of the largest high-elevation lake in North America: Water, v. 13, no. 3, 264, 8 p., https://doi.org/10.3390/w13030264.","productDescription":"264, 8 p.","ipdsId":"IP-124967","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":453750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w13030264","text":"Publisher Index Page"},{"id":396927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.599365234375,\n 44.270771508583536\n ],\n [\n -110.17364501953124,\n 44.270771508583536\n ],\n [\n -110.17364501953124,\n 44.561120394347185\n ],\n [\n -110.599365234375,\n 44.561120394347185\n ],\n [\n -110.599365234375,\n 44.270771508583536\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Driscoll, Stephanie C.","contributorId":288128,"corporation":false,"usgs":false,"family":"Driscoll","given":"Stephanie","email":"","middleInitial":"C.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":837504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glassic, Hayley C.","contributorId":288129,"corporation":false,"usgs":false,"family":"Glassic","given":"Hayley C.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":837505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":837503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koel, Todd. M.","contributorId":288130,"corporation":false,"usgs":false,"family":"Koel","given":"Todd.","email":"","middleInitial":"M.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":837506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227706,"text":"70227706 - 2021 - Drivers of site fidelity in ungulates","interactions":[],"lastModifiedDate":"2022-01-27T14:48:07.844313","indexId":"70227706","displayToPublicDate":"2021-01-22T08:31:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of site fidelity in ungulates","docAbstract":"The 1755 CE Lisbon earthquake triggered the largest historical tsunami ever impacting the Atlantic coasts of Europe. Despite recent efforts to better understand this event, there are still unanswered questions about the location of its epicenter and whether physical and historical evidences are in agreement.
Inverse modeling using tsunami sediments can be applied to quantify onshore flow characteristics. Forward numerical modeling is also a powerful tool capable of simulating tsunami hydrodynamics and the induced sediment transport. This work presents novel results from a combination of inverse and forward modeling to assess tsunami characteristics onshore. The study site is located on the Portuguese southern coast, at the Salgados lowland where inverse modeling was performed using TsuSedMod (Jaffe and Gelfenbaum, 2007) based on data retrieved from sediment samples. Forward modeling, including tsunami generation and propagation, was performed using the FLOW module of Delft3D suite model. Onshore topography was corrected for the 1755 CE scenario based on extensive tsunami sedimentary deposit thickness data. The tsunami source was chosen based on recent results from the authors that pointed to a good correlation between modeled and field tsunami data for the Marques de Pombal Fault (MPF), Horseshoe Fault (HSF) and a hypothetical scenario represented by a simple combination between Gorringe Bank and Horseshoe Fault (Scenario 1 - SC1).
Results from inverse model show tsunami onshore average speed varying from 7.3 up to 9.3 m/s and shear velocities from 0.52 up to 0.66 m/s. Forward modeling results show a wide variation according to the seismic source and tsunami onshore velocities can range from around 7 m/s when considering MPF to even an absence of inundation (SC1). The good agreement between both modeling approaches estimating tsunami velocity confirms the potential of numerical modeling coupled with geological records to improve the understanding of historical events.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2021.106432","usgsCitation":"Bosnic, I., Costa, P.J., Dourado, F., La Selle, S., and Gelfenbaum, G.R., 2021, Onshore flow characteristics of the 1755 CE Lisbon tsunami: Linking forward and inverse numerical modeling: Marine Geology, v. 434, 106432, 6 p., https://doi.org/10.1016/j.margeo.2021.106432.","productDescription":"106432, 6 p.","ipdsId":"IP-124318","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":384303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Portugal","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-9.03482,41.88057],[-8.67195,42.13469],[-8.26386,42.28047],[-8.01317,41.79089],[-7.42251,41.79207],[-7.25131,41.91835],[-6.66861,41.88339],[-6.38909,41.38182],[-6.85113,41.11108],[-6.86402,40.33087],[-7.02641,40.18452],[-7.06659,39.71189],[-7.49863,39.62957],[-7.09804,39.03007],[-7.37409,38.37306],[-7.02928,38.07576],[-7.16651,37.80389],[-7.53711,37.4289],[-7.45373,37.09779],[-7.85561,36.83827],[-8.38282,36.97888],[-8.89886,36.86881],[-8.7461,37.65135],[-8.84,38.26624],[-9.28746,38.35849],[-9.52657,38.73743],[-9.44699,39.39207],[-9.04831,39.75509],[-8.97735,40.15931],[-8.76868,40.76064],[-8.79085,41.18433],[-8.99079,41.54346],[-9.03482,41.88057]]]},\"properties\":{\"name\":\"Portugal\"}}]}","volume":"434","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bosnic, Ivana 0000-0003-3977-6116","orcid":"https://orcid.org/0000-0003-3977-6116","contributorId":255091,"corporation":false,"usgs":false,"family":"Bosnic","given":"Ivana","email":"","affiliations":[{"id":51417,"text":"Instituto Dom Luiz","active":true,"usgs":false}],"preferred":false,"id":811781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costa, Pedro JM 0000-0001-6573-0539","orcid":"https://orcid.org/0000-0001-6573-0539","contributorId":255092,"corporation":false,"usgs":false,"family":"Costa","given":"Pedro","email":"","middleInitial":"JM","affiliations":[{"id":51417,"text":"Instituto Dom Luiz","active":true,"usgs":false}],"preferred":false,"id":811782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dourado, Francisco 0000-0002-0872-9715","orcid":"https://orcid.org/0000-0002-0872-9715","contributorId":255093,"corporation":false,"usgs":false,"family":"Dourado","given":"Francisco","email":"","affiliations":[{"id":51419,"text":"Rio de Janeiro State University","active":true,"usgs":false}],"preferred":false,"id":811783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":811784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":811785,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228921,"text":"70228921 - 2021 - Morphology and composition of Goldeye (Hiodontidae; Hiodon alosoides) otoliths","interactions":[],"lastModifiedDate":"2022-02-25T12:05:39.356088","indexId":"70228921","displayToPublicDate":"2021-01-21T14:41:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2394,"text":"Journal of Morphology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Morphology and composition of Goldeye (Hiodontidae; Hiodon alosoides) otoliths","title":"Morphology and composition of Goldeye (Hiodontidae; Hiodon alosoides) otoliths","docAbstract":"We provide up-to-date morphological and compositional data on otoliths of the osteoglossomorph Goldeye (Hiodon alosoides). Using computed tomography (CT) X-ray, we documented the location of each of the three pairs of otoliths (lapilli, sagittae, and asterisci) in relation to the swim bladder, which extended forward in close proximity to the sagittae and asterisci. The lappili were the largest otoliths in terms of surface area and volume, but the sagittae were highly modified, appearing spiral in shape when viewed dorsally, with a surface area to volume ratio more than double that of the lapilli. Using scanning electron microscopy, the surface of each otolith was viewable in great detail, and small otoconia (~10.5 μm diameter) were observed on each, but were most numerous on the sagittae. On scanning electron micrographs, the sagittae appeared to be bi-lobed, with asymmetrical lobes each oriented in the same general direction. Using neutron and X-ray diffraction methods, we found three polymorphs of calcium carbonate crystals (aragonite, vaterite, and calcite), sometimes all within the same otolith. However, in general, lapilli and sagittae were composed predominately of aragonite whereas asterisci were composed chiefly of vaterite. With these results, we provide information on a unique species, whose inclusion in future studies would benefit our understanding of fish hearing, fish evolution, and fisheries ecology.
","language":"English","publisher":"Wiley","doi":"10.1002/jmor.21324","usgsCitation":"Long, J.M., Snow, R., Pracheil, B., and Chakaoumakous, B.C., 2021, Morphology and composition of Goldeye (Hiodontidae; Hiodon alosoides) otoliths: Journal of Morphology, v. 282, no. 4, p. 511-519, https://doi.org/10.1002/jmor.21324.","productDescription":"9 p.","startPage":"511","endPage":"519","ipdsId":"IP-119139","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":453755,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1767877","text":"External Repository"},{"id":396454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"282","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":835905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snow, Richard A.","contributorId":280026,"corporation":false,"usgs":false,"family":"Snow","given":"Richard A.","affiliations":[{"id":57412,"text":"2. Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":835906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pracheil, Brenda M.","contributorId":280027,"corporation":false,"usgs":false,"family":"Pracheil","given":"Brenda M.","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":835907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chakaoumakous, Bryan C.","contributorId":280028,"corporation":false,"usgs":false,"family":"Chakaoumakous","given":"Bryan","email":"","middleInitial":"C.","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":835908,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217563,"text":"fs20203071 - 2021 - Microplastics in the Delaware River, northeastern United States","interactions":[],"lastModifiedDate":"2021-01-27T19:23:52.9025","indexId":"fs20203071","displayToPublicDate":"2021-01-21T13:50:04","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3071","displayTitle":"Microplastics in the Delaware River, Northeastern United States","title":"Microplastics in the Delaware River, northeastern United States","docAbstract":"Microplastics are a contaminant of increasing concern in aquatic environments. Our understanding of microplastics in freshwater environments has increased dramatically over the past decade, but we still lack information on microplastic occurrence and biological uptake in National Park Service (NPS) waters. During 2015–19, the U.S. Geological Survey and the NPS conducted a three-phase study of microplastic occurrence and biological uptake in NPS waters. This fact sheet summarizes results from Phase 3 in which microplastics were sampled at nine locations spanning various land uses on the Upper Delaware, Middle Delaware, and Lower Delaware Scenic and Recreational River and its tributaries in the northeastern United States. Water and sediment samples were collected during baseflow conditions at each location to assess microplastic occurrence, and fish and mussels were collected at a subset of locations to assess potential biological uptake of microplastics.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203071","usgsCitation":"Baldwin, A.K., Spanjer, A.R., Hayhurst, B., and Hamilton, D., 2021, Microplastics in the Delaware River, northeastern United States: U.S. Geological Survey Fact Sheet 2020-3071, 4 p., https://doi.org/10.3133/fs20203071.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-123343","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":382420,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3071/fs20203071.pdf","text":"Report","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3071"},{"id":382421,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QVIVX3","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Microplastics in the Delaware River, 2018"},{"id":382419,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3071/coverthb.jpg"}],"country":"United States","state":"Delaware, New Jersey, New York, Pennsylvania","otherGeospatial":"Delaware River","geographicExtents":"{\n\"type\": \"FeatureCollection\",\n\"name\": \"studyArea\",\n\"features\": [\n{ \"type\": \"Feature\", \"properties\": { }, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.145953853336692, 39.982971745023178 ], [ -74.894607857117023, 39.942150954225419 ], [ -74.656267436266774, 40.043069871162011 ], [ -74.619140625, 40.17047886718111 ], [ -74.703506078237083, 40.289999136006863 ], [ -74.821602683162894, 40.367298731958293 ], [ -74.93969928808869, 40.558400510838219 ], [ -74.94873046875, 40.838749137964591 ], [ -74.871826171874986, 40.971603532799115 ], [ -74.608154296875, 41.228249015185291 ], [ -74.601472036523404, 41.440288708654442 ], [ -74.878918707864372, 41.776350873940686 ], [ -75.094298479991522, 41.994884668935654 ], [ -75.289694680868749, 41.96052929295724 ], [ -75.371288698817494, 41.773721936074615 ], [ -75.197786874357107, 41.533849764447694 ], [ -75.149880333849921, 41.424971263295028 ], [ -75.18907659426489, 41.324803042234571 ], [ -75.38818359375, 41.054501963290505 ], [ -75.4541015625, 40.680638025214563 ], [ -75.421142578125, 40.34654412118006 ], [ -75.344095044001946, 40.187048079036536 ], [ -75.26487426784621, 40.069683966213226 ], [ -75.145953853336692, 39.982971745023178 ] ] ] } }\n]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702-4520
Understanding the location, intensity, and likely duration of volcanic hazards is key to reducing risk from volcanic eruptions. Here, we use a novel near-real-time dataset comprising Volcanic Ash Advisories (VAAs) issued over 10 years to investigate global rates and durations of explosive volcanic activity. The VAAs were collected from the nine Volcanic Ash Advisory Centres (VAACs) worldwide. Information extracted allowed analysis of the frequency and type of explosive behaviour, including analysis of key eruption source parameters (ESPs) such as volcanic cloud height and duration. The results reflect changes in the VAA reporting process, data sources, and volcanic activity through time. The data show an increase in the number of VAAs issued since 2015 that cannot be directly correlated to an increase in volcanic activity. Instead, many represent increased observations, including improved capability to detect low- to mid-level volcanic clouds (FL101–FL200, 3–6 km asl), by higher temporal, spatial, and spectral resolution satellite sensors. Comparison of ESP data extracted from the VAAs with the Mastin et al. (J Volcanol Geotherm Res 186:10–21, 2009a) database shows that traditional assumptions used in the classification of volcanoes could be much simplified for operational use. The analysis highlights the VAA data as an exceptional resource documenting global volcanic activity on timescales that complement more widely used eruption datasets.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-020-01419-y","usgsCitation":"Engwell, S., Mastin, L.G., Tupper, A.C., Kibler, J., Acethorpe, P., Lord, G., and Filgueira, R., 2021, Near-real-time volcanic cloud monitoring: Insights into global explosive volcanic eruptive activity through analysis of Volcanic Ash Advisories: Bulletin of Volcanology, v. 83, no. 2, 9, 17 p., https://doi.org/10.1007/s00445-020-01419-y.","productDescription":"9, 17 p.","ipdsId":"IP-117586","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":453759,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-020-01419-y","text":"Publisher Index Page"},{"id":383387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Engwell, Samantha 0000-0001-7719-6257","orcid":"https://orcid.org/0000-0001-7719-6257","contributorId":251719,"corporation":false,"usgs":false,"family":"Engwell","given":"Samantha","email":"","affiliations":[{"id":25567,"text":"British Geological Survey","active":true,"usgs":false}],"preferred":false,"id":810419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tupper, Andrew C.","contributorId":189115,"corporation":false,"usgs":false,"family":"Tupper","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":810421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kibler, Jamie","contributorId":251721,"corporation":false,"usgs":false,"family":"Kibler","given":"Jamie","email":"","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":810422,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Acethorpe, Paula","contributorId":251722,"corporation":false,"usgs":false,"family":"Acethorpe","given":"Paula","email":"","affiliations":[{"id":50378,"text":"Civil Aviation Authority of New Zealand","active":true,"usgs":false}],"preferred":false,"id":810423,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lord, G.","contributorId":251725,"corporation":false,"usgs":false,"family":"Lord","given":"G.","email":"","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":810424,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Filgueira, R.","contributorId":204578,"corporation":false,"usgs":false,"family":"Filgueira","given":"R.","email":"","affiliations":[],"preferred":false,"id":810425,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70217752,"text":"70217752 - 2021 - Predictors of invertebrate biomass and rate of advancement of invertebrate phenology across eight sites in the North American Arctic","interactions":[],"lastModifiedDate":"2023-03-27T16:57:30.693028","indexId":"70217752","displayToPublicDate":"2021-01-21T10:33:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Predictors of invertebrate biomass and rate of advancement of invertebrate phenology across eight sites in the North American Arctic","docAbstract":"Average annual temperatures in the Arctic increased by 2–3 °C during the second half of the twentieth century. Because shorebirds initiate northward migration to Arctic nesting sites based on cues at distant wintering grounds, climate-driven changes in the phenology of Arctic invertebrates may lead to a mismatch between the nutritional demands of shorebirds and the invertebrate prey essential for egg formation and subsequent chick survival. To explore the environmental drivers affecting invertebrate availability, we modeled the biomass of invertebrates captured in modified Malaise-pitfall traps over three summers at eight Arctic Shorebird Demographics Network sites as a function of accumulated degree-days and other weather variables. To assess climate-driven changes in invertebrate phenology, we used data from the nearest long-term weather stations to hindcast invertebrate availability over 63 summers, 1950–2012. Our results confirmed the importance of both accumulated and daily temperatures as predictors of invertebrate availability while also showing that wind speed negatively affected invertebrate availability at the majority of sites. Additionally, our results suggest that seasonal prey availability for Arctic shorebirds is occurring earlier and that the potential for trophic mismatch is greatest at the northernmost sites, where hindcast invertebrate phenology advanced by approximately 1–2.5 days per decade. Phenological mismatch could have long-term population-level effects on shorebird species that are unable to adjust their breeding schedules to the increasingly earlier invertebrate phenologies.
","language":"English","publisher":"Springer Link","doi":"10.1007/s00300-020-02781-5","usgsCitation":"Shaftel, R., Rinella, D.J., Kwon, E., Brown, S.C., Gates, H., Kendall, S., Lank, D.B., Liebezeit, J.R., Payer, D.C., Rausch, J., Saalfeld, S., Sandercock, B., Smith, P., Ward, D.H., and Lanctot, R., 2021, Predictors of invertebrate biomass and rate of advancement of invertebrate phenology across eight sites in the North American Arctic: Polar Biology, v. 44, p. 237-257, https://doi.org/10.1007/s00300-020-02781-5.","productDescription":"21 p.","startPage":"237","endPage":"257","ipdsId":"IP-114811","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":453760,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00300-020-02781-5","text":"Publisher Index Page"},{"id":382855,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Newfoundland, Northwest Territories","otherGeospatial":"North American Arctic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -159.9609375,\n 64.32087157990324\n ],\n [\n -158.73046875,\n 66.72254132270653\n ],\n [\n -163.125,\n 68.33437594128185\n ],\n [\n -151.34765625,\n 68.39918004344189\n ],\n [\n -132.5390625,\n 66.99884379185184\n ],\n [\n -123.57421875,\n 68.52823492039876\n ],\n [\n -124.8046875,\n 70.90226826757711\n ],\n [\n -135.35156249999997,\n 69.96043926902489\n ],\n [\n -151.171875,\n 71.85622888185527\n ],\n [\n -165.05859375,\n 71.35706654962706\n ],\n [\n -169.98046875,\n 65.2198939361321\n ],\n [\n -159.9609375,\n 64.32087157990324\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -56.25,\n 46.31658418182218\n ],\n [\n -52.734375,\n 46.31658418182218\n ],\n [\n -52.734375,\n 49.724479188712984\n ],\n [\n -56.25,\n 49.724479188712984\n ],\n [\n -56.25,\n 46.31658418182218\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2021-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaftel, Rebecca 0000-0002-4789-4211","orcid":"https://orcid.org/0000-0002-4789-4211","contributorId":248594,"corporation":false,"usgs":false,"family":"Shaftel","given":"Rebecca","email":"","affiliations":[{"id":37194,"text":"University of Alaska Anchorage","active":true,"usgs":false}],"preferred":false,"id":809530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rinella, Daniel J.","contributorId":69048,"corporation":false,"usgs":true,"family":"Rinella","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":809531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwon, Eunbi","contributorId":169349,"corporation":false,"usgs":false,"family":"Kwon","given":"Eunbi","email":"","affiliations":[],"preferred":false,"id":809532,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Stephen C.","contributorId":38457,"corporation":false,"usgs":false,"family":"Brown","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":809533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gates, H. River","contributorId":84256,"corporation":false,"usgs":true,"family":"Gates","given":"H. River","affiliations":[],"preferred":false,"id":809534,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, Steve","contributorId":213517,"corporation":false,"usgs":false,"family":"Kendall","given":"Steve","affiliations":[],"preferred":false,"id":809535,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lank, David B.","contributorId":42533,"corporation":false,"usgs":false,"family":"Lank","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":29801,"text":"Department of Biological Sciences, Simon Fraser University, Burnaby, BC","active":true,"usgs":false}],"preferred":false,"id":809536,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liebezeit, Joseph R.","contributorId":127693,"corporation":false,"usgs":false,"family":"Liebezeit","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":809537,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Payer, David C.","contributorId":7495,"corporation":false,"usgs":false,"family":"Payer","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":809538,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rausch, Jennie","contributorId":203672,"corporation":false,"usgs":false,"family":"Rausch","given":"Jennie","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":809539,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Saalfeld, Sarah T.","contributorId":41721,"corporation":false,"usgs":true,"family":"Saalfeld","given":"Sarah T.","affiliations":[],"preferred":false,"id":809540,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sandercock, Brett K.","contributorId":223926,"corporation":false,"usgs":false,"family":"Sandercock","given":"Brett K.","affiliations":[],"preferred":false,"id":809541,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, Paul A.","contributorId":73477,"corporation":false,"usgs":true,"family":"Smith","given":"Paul A.","affiliations":[],"preferred":false,"id":809542,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":809543,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lanctot, Richard B.","contributorId":77879,"corporation":false,"usgs":false,"family":"Lanctot","given":"Richard B.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":809544,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70237877,"text":"70237877 - 2021 - Evaluating the use of marine protected areas by endangered species: A habitat selection approach","interactions":[],"lastModifiedDate":"2023-04-14T16:55:05.946982","indexId":"70237877","displayToPublicDate":"2021-01-21T09:18:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the use of marine protected areas by endangered species: A habitat selection approach","docAbstract":"1. Optimizing the design of marine protected area (MPA) networks for the conservation of migratory marine species and their habitats involves a suite of important considerations, such as appropriate scale requirements and the distribution of anthropogenic impacts. Often, a fundamental component of the conservation planning process is delineating areas of high use or high biodiversity within a region of interest.
2. However, basing conservation strategies off merely the number of individuals in an ecosystem is outdated and potentially subject to arbitrary thresholds. To be effective at protecting marine megafauna, MPAs would ideally encompass habitats used by focal species. Through satellite-tracking studies, evidence of whether species actually use protected areas is emerging.
3. Here, we present a multispecies perspective on habitat selection within existing MPAs throughout the Floridian ecoregion, which encompasses coastal Florida and the Gulf of Mexico. Using an 11-year satellite-tracking dataset on 235 marine turtles, we used integrated step selection analysis to quantify the effects of sea turtle behavioural state (identified by a switching state-space model), protected area status, chlorophyll and bathymetry on habitat selection.
4. Our results show that sea turtles do select for existing protected areas, specifically multi-use zones, while controlling for the effects of depth and primary productivity. However, our analysis revealed that turtles showed no selection for the no-take zones within MPAs, during either transiting or foraging.
5. These findings contribute to the existing literature base of MPA use for highly mobile, imperilled species and could inform management of existing MPAs or changes to zoning, specifically multi-use to no-take. Our use of a robust spatial modelling framework to evaluate habitat selection relative to MPAs could be incorporated into conservation planning to build MPA networks designed to accommodate migratory species.
","language":"English","publisher":"Wiley","doi":"10.1002/2688-8319.12035","usgsCitation":"Roberts, K.E., Smith, B., Burkholder, D.A., and Hart, K., 2021, Evaluating the use of marine protected areas by endangered species: A habitat selection approach: Ecological Solutions and Evidence, v. 2, no. 1, e12035, 10 p.; Data Release, https://doi.org/10.1002/2688-8319.12035.","productDescription":"e12035, 10 p.; Data Release","ipdsId":"IP-116564","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":453762,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.12035","text":"Publisher Index Page"},{"id":408857,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":415792,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UZU4GG","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.55389682044014,\n 26.141125121136838\n ],\n [\n -82.55389682044014,\n 24.4670519782689\n ],\n [\n -79.75556154192874,\n 24.4670519782689\n ],\n [\n -79.75556154192874,\n 26.141125121136838\n ],\n [\n -82.55389682044014,\n 26.141125121136838\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Roberts, Kelsey E. 0000-0001-8422-632X","orcid":"https://orcid.org/0000-0001-8422-632X","contributorId":296892,"corporation":false,"usgs":true,"family":"Roberts","given":"Kelsey","email":"","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":856057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Brian J. 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":139672,"corporation":false,"usgs":false,"family":"Smith","given":"Brian J.","affiliations":[{"id":12876,"text":"Cherokee Nation Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":856058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkholder, Derek A. 0000-0001-6315-6932","orcid":"https://orcid.org/0000-0001-6315-6932","contributorId":289783,"corporation":false,"usgs":false,"family":"Burkholder","given":"Derek","email":"","middleInitial":"A.","affiliations":[{"id":62249,"text":"Halmos College of Natural Sciences and Oceanography, Department of Marine and Environmental Science, Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":856059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":856060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217613,"text":"70217613 - 2021 - Valleys of fire: Historical fire regimes of forest-grassland ecotones across the montane landscape of the Valles Caldera National Preserve, New Mexico, USA","interactions":[],"lastModifiedDate":"2021-02-04T14:25:19.390912","indexId":"70217613","displayToPublicDate":"2021-01-21T08:40:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Valleys of fire: Historical fire regimes of forest-grassland ecotones across the montane landscape of the Valles Caldera National Preserve, New Mexico, USA","docAbstract":"Montane grasslands and forest-grassland ecotones are unique and dynamic components of many landscapes, but the processes that regulate their dynamics are difficult to observe over ecologically relevant time spans.
We aimed to demonstrate the efficacy of using grassland-forest ecotone trees to reconstruct spatial and temporal properties of the historical fire regime in a complex landscape of montane forests and adjacent grasslands.
We sampled and crossdated fire-scarred trees along ecotones and compared variations in historical fire occurrence within and among nine adjoining valle basins in a 10,158 ha landscape. We analyzed fire year extensiveness, climate regulation, and the occurrence of consecutive fire years.
The resulting tree-ring record covers 1240–2005 AD, with 296 trees recording 125 replicated fire years during the analysis period 1601–1902 AD. Mean fire intervals for all events recorded on two or more trees ranged from 4.7 to 13.6 years in individual valles, and a mean of 2.4 ± 1.7 (SD) years at the landscape scale. Between 1660 and 1902, extensive fires occurring in six or more valles occurred 15 times, on average at ~ 17-year intervals; 29 moderately widespread fires (3–5 valles) occurred during this period, at 8.7 year intervals on average. Widespread events occurred in years with a significantly lower Palmer Drought Severity Index (PDSI) preceded by years of significantly positive PDSI, indicating conditions favorable for fine fuel production. Spatial reconstruction of fire extent revealed multiple occurrences of consecutive-year fires burning non-overlapping areas, associated with persistent low PDSI anomalies preceded by positive conditions in antecedent years.
A landscape spatiotemporal approach to reconstructing fire regimes of montane forest-grassland complexes provides a valuable baseline for guiding prescribed and natural fire management at large spatial scales.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-020-01101-w","usgsCitation":"Dewar, J.J., Falk, D.A., Swetnam, T.W., Baisan, C.H., Allen, C.D., Parmenter, R.R., and Margolis, E.Q., 2021, Valleys of fire: Historical fire regimes of forest-grassland ecotones across the montane landscape of the Valles Caldera National Preserve, New Mexico, USA: Landscape Ecology, v. 36, p. 331-352, https://doi.org/10.1007/s10980-020-01101-w.","productDescription":"22 p.","startPage":"331","endPage":"352","ipdsId":"IP-099759","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":382540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Valles Caldera National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.67861938476562,\n 35.79553849799263\n ],\n [\n -106.33804321289061,\n 35.79553849799263\n ],\n [\n -106.33804321289061,\n 36.01800375871416\n ],\n [\n -106.67861938476562,\n 36.01800375871416\n ],\n [\n -106.67861938476562,\n 35.79553849799263\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","noUsgsAuthors":false,"publicationDate":"2021-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Dewar, J. J.","contributorId":248334,"corporation":false,"usgs":false,"family":"Dewar","given":"J.","email":"","middleInitial":"J.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":808897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falk, Donald A.","contributorId":197570,"corporation":false,"usgs":false,"family":"Falk","given":"Donald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":808898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swetnam, T. W.","contributorId":248335,"corporation":false,"usgs":false,"family":"Swetnam","given":"T.","email":"","middleInitial":"W.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":808899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baisan, C. H.","contributorId":248336,"corporation":false,"usgs":false,"family":"Baisan","given":"C.","email":"","middleInitial":"H.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":808900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":808901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parmenter, R. R.","contributorId":248337,"corporation":false,"usgs":false,"family":"Parmenter","given":"R.","email":"","middleInitial":"R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":808902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":808903,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70218659,"text":"70218659 - 2021 - A metapopulation model of social group dynamics and disease applied to Yellowstone wolves","interactions":[],"lastModifiedDate":"2021-03-04T13:44:08.699721","indexId":"70218659","displayToPublicDate":"2021-01-21T07:42:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A metapopulation model of social group dynamics and disease applied to Yellowstone wolves","docAbstract":"The population structure of social species has important consequences for both their demography and transmission of their pathogens. We develop a metapopulation model that tracks two key components of a species’ social system: average group size and number of groups within a population. While the model is general, we parameterize it to mimic the dynamics of the Yellowstone wolf population and two associated pathogens: sarcoptic mange and canine distemper. In the initial absence of disease, we show that group size is mainly determined by the birth and death rates and the rates at which groups fission to form new groups. The total number of groups is determined by rates of fission and fusion, as well as environmental resources and rates of intergroup aggression. Incorporating pathogens into the models reduces the size of the host population, predominantly by reducing the number of social groups. Average group size responds in more subtle ways: infected groups decrease in size, but uninfected groups may increase when disease reduces the number of groups and thereby reduces intraspecific aggression. Our modeling approach allows for easy calculation of prevalence at multiple scales (within group, across groups, and population level), illustrating that aggregate population-level prevalence can be misleading for group-living species. The model structure is general, can be applied to other social species, and allows for a dynamic assessment of how pathogens can affect social structure and vice versa.
Mechanisms of runoff generation in the humid tropics are poorly understood, particularly in the context of land-use/land cover change. This study analyzed the results of 124 storm hydrographs from three humid tropical catchments of markedly different vegetation cover and land-use history in central Panama during the 2017 wet season: actively grazed pasture, young secondary succession, and near-mature forest. We used electrical conductivity to separate baseflow (old water) from storm-event water (new-water). In all three land covers, new-water dominated storm runoff generation in 44% of the sampled storm events, indicating the dominance of fast shallow flow paths in the landscape. Activation of these flow paths was found to depend on a combination of maximum rainfall intensity and total storm rainfall, which, in turn, relates to markedly contrasting hydrograph separation results among land covers. Relationships between these rainfall characteristics and storm runoff generation were nonlinear, producing a threshold response with the exceedance of specific rainfall volumes and/or intensities. The pastoral catchment delivered order of magnitude more new-water during storm events than the two forested catchments. Although new-water contributed minimally (<10%) to total wet season runoff in the forested catchments, 43% of runoff generation in the pasture came from five large rainfall events where a threshold response produced substantial increases in total runoff and new-runoff efficiency. Based on our results, we propose a conceptual model of hydrologic flow paths in humid tropical systems that can explain previously observed disparities in seasonal storage and runoff with respect to land use/land cover.