{"pageNumber":"350","pageRowStart":"8725","pageSize":"25","recordCount":184743,"records":[{"id":70237819,"text":"70237819 - 2022 - Biosafety practices when working with bats: A guide to field research considerations","interactions":[],"lastModifiedDate":"2022-10-25T14:27:00.196323","indexId":"70237819","displayToPublicDate":"2022-09-14T09:23:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5970,"text":"Applied Biosafety","active":true,"publicationSubtype":{"id":10}},"title":"Biosafety practices when working with bats: A guide to field research considerations","docAbstract":"

Introduction: Field work with bats is an important contribution to many areas of research in environmental biology and ecology, as well as microbiology. Work with bats poses hazards such as bites and scratches, and the potential for exposure to infectious pathogens such as rabies virus. It also exposes researchers to many other potential hazards inherent to field work, such as environmental conditions, delayed emergency responses, or challenging work conditions.

Methods: This article discusses the considerations for a thorough risk assessment process around field work with bats, pre- and post-occupational health considerations, and delves into specific considerations for areas related to biosafety concerns—training, personal protective equipment, safety consideration in field methods, decontamination, and waste. It also touches on related legal and ethical issues that sit outside the realm of biosafety, but which must be addressed during the planning process.

Discussion: Although the focal point of this article is bat field work located in northern and central America, the principles and practices discussed here are applicable to bat work elsewhere, as well as to field work with other animal species, and should promote careful considerations of how to safely conduct field work to protect both researchers and animals.

","language":"English","publisher":"Mary Ann Liebert Publishers","doi":"10.1089/apb.2022.0019","usgsCitation":"Aguilar-Setien, A., Arechiga-Ceballos, N., Balsamo, G.A., Behrman, A.J., Frank, H.K., Fujimoto, G.R., Gilman Duane, E., Hudson, T.W., Jones, S.M., Ochoa Carrera, L.A., Powell, G.L., Smith, C.A., Triantis Van Sickle, J., and Vleck, S.E., 2022, Biosafety practices when working with bats: A guide to field research considerations: Applied Biosafety, v. 27, no. 3, p. 169-190, https://doi.org/10.1089/apb.2022.0019.","productDescription":"22 p.","startPage":"169","endPage":"190","ipdsId":"IP-140450","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":446434,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1089/apb.2022.0019","text":"Publisher Index Page"},{"id":408697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Aguilar-Setien, Alvaro","contributorId":216649,"corporation":false,"usgs":false,"family":"Aguilar-Setien","given":"Alvaro","email":"","affiliations":[{"id":39493,"text":"Unidad de Investigación Médica en Inmunología","active":true,"usgs":false}],"preferred":false,"id":855745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arechiga-Ceballos, Nidia","contributorId":298495,"corporation":false,"usgs":false,"family":"Arechiga-Ceballos","given":"Nidia","email":"","affiliations":[{"id":64594,"text":"Laboratorio de Rabia.Instituto de Diagnóstico y Referencia Epidemiológicos, Secretaría de Salud","active":true,"usgs":false}],"preferred":false,"id":855746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balsamo, Gary A.","contributorId":298496,"corporation":false,"usgs":false,"family":"Balsamo","given":"Gary","email":"","middleInitial":"A.","affiliations":[{"id":64595,"text":"Louisiana Department of Health","active":true,"usgs":false}],"preferred":false,"id":855747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Behrman, Amy J.","contributorId":298497,"corporation":false,"usgs":false,"family":"Behrman","given":"Amy","email":"","middleInitial":"J.","affiliations":[{"id":64596,"text":"Perelman School of Medicine, University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":855748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frank, Hannah K.","contributorId":298498,"corporation":false,"usgs":false,"family":"Frank","given":"Hannah","email":"","middleInitial":"K.","affiliations":[{"id":64597,"text":"Department of Ecology and Evolutionary Biology, Tulane University","active":true,"usgs":false}],"preferred":false,"id":855749,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fujimoto, Gary R.","contributorId":298499,"corporation":false,"usgs":false,"family":"Fujimoto","given":"Gary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":855750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gilman Duane, Elizabeth","contributorId":298500,"corporation":false,"usgs":false,"family":"Gilman Duane","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":855751,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hudson, Thomas Warner III","contributorId":298501,"corporation":false,"usgs":false,"family":"Hudson","given":"Thomas","suffix":"III","email":"","middleInitial":"Warner","affiliations":[{"id":64598,"text":"Department of Occupational and Environmental Health, University of California","active":true,"usgs":false}],"preferred":false,"id":855752,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Shelley M.","contributorId":298502,"corporation":false,"usgs":false,"family":"Jones","given":"Shelley","email":"","middleInitial":"M.","affiliations":[{"id":64599,"text":"Department of Environmental Health and Safety, Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":855753,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ochoa Carrera, Luis A.","contributorId":298503,"corporation":false,"usgs":false,"family":"Ochoa Carrera","given":"Luis","email":"","middleInitial":"A.","affiliations":[{"id":64600,"text":"Office of Environmental Health and Safety, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":855754,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Powell, Gregory L.","contributorId":298504,"corporation":false,"usgs":false,"family":"Powell","given":"Gregory","email":"","middleInitial":"L.","affiliations":[{"id":64602,"text":"Department of Environmental Health and Safety, Arizona State University","active":true,"usgs":false}],"preferred":false,"id":855755,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Carrie Alison 0000-0002-2684-3407","orcid":"https://orcid.org/0000-0002-2684-3407","contributorId":228816,"corporation":false,"usgs":true,"family":"Smith","given":"Carrie","email":"","middleInitial":"Alison","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":855756,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Triantis Van Sickle, Joni","contributorId":298505,"corporation":false,"usgs":false,"family":"Triantis Van Sickle","given":"Joni","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":855757,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Vleck, Susan E.","contributorId":298506,"corporation":false,"usgs":false,"family":"Vleck","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":64603,"text":"Department of Environmental Health and Safety, Stanford University","active":true,"usgs":false}],"preferred":false,"id":855758,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70236690,"text":"70236690 - 2022 - Development of the LCMAP annual land cover product across Hawai'i","interactions":[],"lastModifiedDate":"2023-11-08T16:45:41.692299","indexId":"70236690","displayToPublicDate":"2022-09-14T09:22:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Development of the LCMAP annual land cover product across Hawai'i","docAbstract":"

Following the completion of land cover and change (LCC) products for the conterminous United States (CONUS), the U.S. Geological Survey's (USGS’s) Land Change Monitoring, Assessment, and Projection initiative has broadened the capability of characterizing continuous historical land change across the full Landsat records for Hawaiʻi at 30-meter resolution. One of the challenges of implementing the LCMAP framework to process annual land cover maps in Hawaiʻi is to collect sufficient high-quality training data. Although multiple datasets depicting land cover information are available in Hawaiʻi, they covered limited time frames and were produced from various remote sensing sources with different, classification categories, spatial resolution, and mapping accuracies. No solo product is suitable to provide LCMAP training data labels on its own. In this paper, we focused on enhancing the LCMAP training datasets to generate land cover products from 2000 to 2019 in Hawaiʻi. A total of 200 independent reference data plots were generated and manually interpreted for validating the mapping results produced by the training datasets. The results revealed that using the appropriate filter of multiple products as training data pools improved the classification model performance. The effect of training datasets (e.g., spatial coverage, quality) on accuracies for different land cover types were summarized. The LCMAP land surface change products for Hawaiʻi are available at https://doi.org/10.5066/P91E8M23.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2022.103015","usgsCitation":"Li, C., Xian, G.Z., Wellington, D., Smith, K., Horton, J., and Zhou, Q., 2022, Development of the LCMAP annual land cover product across Hawai'i: International Journal of Applied Earth Observation and Geoinformation, v. 113, 103015, 17 p., https://doi.org/10.1016/j.jag.2022.103015.","productDescription":"103015, 17 p.","ipdsId":"IP-144117","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":446437,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jag.2022.103015","text":"Publisher Index Page"},{"id":406839,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"113","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Congcong 0000-0002-4311-4169","orcid":"https://orcid.org/0000-0002-4311-4169","contributorId":270142,"corporation":false,"usgs":false,"family":"Li","given":"Congcong","email":"","affiliations":[{"id":52693,"text":"ASRC Federal","active":true,"usgs":false}],"preferred":false,"id":851901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":238919,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":851902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wellington, Danika F. 0000-0002-2130-0075","orcid":"https://orcid.org/0000-0002-2130-0075","contributorId":237074,"corporation":false,"usgs":false,"family":"Wellington","given":"Danika F.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":851903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kelcy 0000-0001-6811-1485","orcid":"https://orcid.org/0000-0001-6811-1485","contributorId":272037,"corporation":false,"usgs":false,"family":"Smith","given":"Kelcy","affiliations":[{"id":56338,"text":"KBR, Inc., Contractor under USGS","active":true,"usgs":false}],"preferred":false,"id":851904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horton, Josephine 0000-0001-8436-4095","orcid":"https://orcid.org/0000-0001-8436-4095","contributorId":191430,"corporation":false,"usgs":false,"family":"Horton","given":"Josephine","affiliations":[],"preferred":false,"id":851905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhou, Qiang 0000-0002-1282-8177","orcid":"https://orcid.org/0000-0002-1282-8177","contributorId":265886,"corporation":false,"usgs":false,"family":"Zhou","given":"Qiang","affiliations":[{"id":54817,"text":"AFDS, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":851906,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70247988,"text":"70247988 - 2022 - Viscoelastic fault-based model of crustal deformation for the 2023 update to the U.S. National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2023-08-30T12:05:47.311699","indexId":"70247988","displayToPublicDate":"2022-09-14T07:03:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Viscoelastic fault-based model of crustal deformation for the 2023 update to the U.S. National Seismic Hazard Model","docAbstract":"

The 2023 update to the National Seismic Hazard (NSHM) model is informed by several deformation models that furnish geodetically estimated fault slip rates. Here I describe a fault‐based model that permits estimation of long‐term slip rates on discrete faults and the distribution of off‐fault moment release. It is based on quantification of the earthquake cycle on a viscoelastic model of the seismogenic upper crust and ductile lower crust and mantle. I apply it to a large dataset of horizontal and vertical Global Positioning System (GPS) interseismic velocities in the western United States, resulting in long‐term slip rates on more than 1000 active faults defined for the NSHM. A reasonable fit to the GPS dataset is achieved with a set of slip rates designed to lie strictly within a priori geologic slip rate bounds. Time‐dependent effects implemented via a “ghost transient” have a profound effect on slip rate estimation and tend to raise calculated slip rates along the northern and southern San Andreas fault by up to several mm/yr.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220220137","usgsCitation":"Pollitz, F., 2022, Viscoelastic fault-based model of crustal deformation for the 2023 update to the U.S. National Seismic Hazard Model: Seismological Research Letters, v. 93, no. 6, p. 3087-3099, https://doi.org/10.1785/0220220137.","productDescription":"13 p.","startPage":"3087","endPage":"3099","ipdsId":"IP-140802","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":420301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -128.5960117968086,\n 50.85379393421823\n ],\n [\n -128.5960117968086,\n 29.93574768280186\n ],\n [\n -104.61216150986225,\n 29.93574768280186\n ],\n [\n -104.61216150986225,\n 50.85379393421823\n ],\n [\n -128.5960117968086,\n 50.85379393421823\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"93","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":881432,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70262271,"text":"70262271 - 2022 - Variability in prion protein genotypes by spatial unit to inform susceptibility to chronic wasting disease","interactions":[],"lastModifiedDate":"2025-01-17T16:59:22.064272","indexId":"70262271","displayToPublicDate":"2022-09-14T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3121,"text":"Prion","onlineIssn":"1933-690X","printIssn":"1933-6896","active":true,"publicationSubtype":{"id":10}},"title":"Variability in prion protein genotypes by spatial unit to inform susceptibility to chronic wasting disease","docAbstract":"

Chronic wasting disease (CWD) is a fatal encephalopathy affecting North American cervids. Certain alleles in a host’s prion protein gene are responsible for reduced susceptibility to CWD. We assessed for the first time variability in the prion protein gene of elk (Cervus canadensis) present in Pennsylvania, United States of America, a reintroduced population for which CWD cases have never been reported. We sequenced the prion protein gene (PRNP) of 565 elk samples collected over 7 years (2014–2020) and found two polymorphic sites (codon 21 and codon 132). The allele associated with reduced susceptibility to CWD is present in the population, and there was no evidence of deviations from Hardy-Weinberg equilibrium in any of our sampling years (p-values between 0.14 and 1), consistent with the lack of selective pressure on the PRNP. The less susceptible genotypes were found in a frequency similar to the ones reported for elk populations in the states of Wyoming and South Dakota before CWD was detected. We calculated the proportion of less susceptible genotypes in each hunt zone in Pennsylvania as a proxy for their vulnerability to the establishment of CWD, and interpolated these results to obtain a surface representing expected proportion of the less susceptible genotypes across the area. Based on this analysis, hunt zones located in the southern part of our study area have a low proportion of less susceptible genotypes, which is discouraging for elk persistence in Pennsylvania given that these hunt zones are adjacent to the deer Disease Management Area 3, where CWD has been present since 2014.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19336896.2022.2117535","usgsCitation":"Fameli, A., Edson, J., Banfield, J., Rosenberry, C., and Walter, W., 2022, Variability in prion protein genotypes by spatial unit to inform susceptibility to chronic wasting disease: Prion, v. 16, no. 1, p. 254-264, https://doi.org/10.1080/19336896.2022.2117535.","productDescription":"11 p.","startPage":"254","endPage":"264","ipdsId":"IP-138972","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481075,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19336896.2022.2117535","text":"Publisher Index Page"},{"id":480752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923712,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256654,"text":"70256654 - 2022 - Climate change alters aging patterns of reservoir aquatic habitats","interactions":[],"lastModifiedDate":"2024-08-29T15:12:56.295325","indexId":"70256654","displayToPublicDate":"2022-09-13T10:03:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Climate change alters aging patterns of reservoir aquatic habitats","docAbstract":"

Two slow-moving developments are threatening reservoir aquatic habitats globally: aging and climate change. These events are projected to transform reservoir aquatic habitats in various and often unpredictable ways. Aging affects in-lake habitats directly, whereas climate change affects both in-lake and off-lake conditions. Climate change is expected to accelerate and, in some instances, possibly decelerate aging. Aging can be indexed as functional age, an index that signals the position of a reservoir along its lifespan relying on in-lake descriptors of aquatic habitat. Using existing habitat datasets and climate projections, we developed semi-quantitative predictions about the effect of climate change on reservoir functional age in the USA. Driven by increased warming, functional age was predicted to increase latitudinally from south to north with no obvious longitudinal gradient. Functional age also changed with precipitation, increasing latitudinally from south to north and longitudinally in the east and west but decreasing in the central USA. Our projections are tentative because of the uncertain nature of reservoir aging and climate change sciences, as well as the inexactness of available data and models. We review general strategies suitable for systematically dealing with the unpredictable and constantly changing conditions expected to occur this century as reservoirs certainly continue to get older, within the scope of uncertain climate change projections.

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Unit","active":true,"usgs":false}],"preferred":false,"id":908512,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70236642,"text":"70236642 - 2022 - Influence of riparian thinning on trophic pathways supporting stream food webs in forested watersheds","interactions":[],"lastModifiedDate":"2022-09-14T14:14:35.651422","indexId":"70236642","displayToPublicDate":"2022-09-13T09:11:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Influence of riparian thinning on trophic pathways supporting stream food webs in forested watersheds","docAbstract":"

Resource managers seek to thin second-growth riparian forests to address multiple stream and riparian management objectives, including enhancing aquatic productivity via light-mediated trophic pathways in watersheds of the Pacific Northwest (USA). However, such increases in aquatic productivity depend on complex food web dynamics that link riparian forests and streams. To evaluate how riparian forest thinning influences stream food webs, we conducted a replicated, manipulative field experiment in three northern California watersheds composed of second-growth redwood forests and tracked responses across multiple trophic levels (periphyton, macroinvertebrates, amphibians, and fish) 1 year pre- and post-treatment. Riparian thinning treatments increased light to the stream channel, yet we observed mixed responses by stream food webs. Thinning did not change stream periphyton biomass on natural substrates but increased periphyton accrual on ceramic tiles. Periphyton accrual appeared to be partially muted by top-down effects from invertebrate scrapers, which were more abundant in thinned reaches. Prey in the diets of top predators—coastal giant salamanders (Dicamptodon tenebrosus) and coastal cutthroat trout (Oncorhynchus clarkii clarkii)—did not change in biomass, composition, or structure in response to thinning and instead varied more seasonally and between predators. Stable isotope analysis indicated that shifts in carbon (δ13C) signatures of stream periphyton associated with thinning were reflected to varying extents by primary consumers but did not propagate up to top predators. Top predator biomass responses varied between species, where salamander biomass remained unchanged, but cutthroat trout biomass increased slightly in thinned reaches. However, trout biomass responses were not supported by diets or isotopes and correlated weakly with changes in light associated with thinning, suggesting little evidence that responses could be attributed directly to changes in autotrophic pathways. Furthermore, we found no evidence that local trophic responses to thinning propagated into downstream reaches. Taken together, we observed that trophic pathways supporting stream food webs remained largely intact immediately after riparian thinning treatments. Collectively, these results suggest that riparian thinning does not necessarily enhance aquatic productivity in forested streams, indicating that contextual factors driving realized ecological responses should be accounted for when considering thinning as a restoration strategy for stream–riparian ecosystems.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4219","usgsCitation":"Roon, D.A., Dunham, J.B., Bellmore, J.R., Olson, D., and Harvey, B.C., 2022, Influence of riparian thinning on trophic pathways supporting stream food webs in forested watersheds: Ecosphere, v. 13, no. 9, e4219, 24 p., https://doi.org/10.1002/ecs2.4219.","productDescription":"e4219, 24 p.","ipdsId":"IP-140593","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":446440,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4219","text":"Publisher Index Page"},{"id":406671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.60693359374999,\n 40.805493843894155\n ],\n [\n -123.56323242187499,\n 40.805493843894155\n ],\n [\n -123.56323242187499,\n 41.95131994679697\n ],\n [\n -124.60693359374999,\n 41.95131994679697\n ],\n [\n -124.60693359374999,\n 40.805493843894155\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Roon, David A.","contributorId":267257,"corporation":false,"usgs":false,"family":"Roon","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":27847,"text":"Department of Fisheries and Wildlife, Oregon State University, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":851613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":851614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bellmore, J. Ryan","contributorId":271034,"corporation":false,"usgs":false,"family":"Bellmore","given":"J.","email":"","middleInitial":"Ryan","affiliations":[{"id":56260,"text":"U.S. Forest Service, Pacific Northwest Research Station, 11175 Auke Lake Way, Juneau, Alaska, 99801","active":true,"usgs":false}],"preferred":false,"id":851615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olson, Deanna H.","contributorId":257261,"corporation":false,"usgs":false,"family":"Olson","given":"Deanna H.","affiliations":[{"id":51996,"text":"USDA Forest Service Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":851616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Bret C.","contributorId":292678,"corporation":false,"usgs":false,"family":"Harvey","given":"Bret","email":"","middleInitial":"C.","affiliations":[{"id":62967,"text":"U.S. Forest Service, Pacific Southwest Research Station","active":true,"usgs":false}],"preferred":false,"id":851617,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70238605,"text":"70238605 - 2022 - New strategies for characterizing genetic structure in wide-ranging, continuously distributed species: a Greater Sage-grouse case study","interactions":[],"lastModifiedDate":"2022-12-01T14:19:33.256535","indexId":"70238605","displayToPublicDate":"2022-09-13T08:11:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"New strategies for characterizing genetic structure in wide-ranging, continuously distributed species: a Greater Sage-grouse case study","docAbstract":"

Characterizing genetic structure across a species’ range is relevant for management and conservation as it can be used to define population boundaries and quantify connectivity. Wide-ranging species residing in continuously distributed habitat pose substantial challenges for the characterization of genetic structure as many analytical methods used are less effective when isolation by distance is an underlying biological pattern. Here, we illustrate strategies for overcoming these challenges using a species of significant conservation concern, the Greater Sage-grouse (Centrocercus urophasianus), providing a new method to identify centers of genetic differentiation and combining multiple methods to help inform management and conservation strategies for this and other such species. Our objectives were to (1) describe large-scale patterns of population genetic structure and gene flow and (2) to characterize genetic subpopulation centers across the range of Greater Sage-grouse. Samples from 2,134 individuals were genotyped at 15 microsatellite loci. Using standard STRUCTURE and spatial principal components analyses, we found evidence for four or six areas of large-scale genetic differentiation and, following our novel method, 12 subpopulation centers of differentiation. Gene flow was greater, and differentiation reduced in areas of contiguous habitat (eastern Montana, most of Wyoming, much of Oregon, Nevada, and parts of Idaho). As expected, areas of fragmented habitat such as in Utah (with 6 subpopulation centers) exhibited the greatest genetic differentiation and lowest effective migration. The subpopulation centers defined here could be monitored to maintain genetic diversity and connectivity with other subpopulation centers. Many areas outside subpopulation centers are contact zones where different genetic groups converge and could be priorities for maintaining overall connectivity. Our novel method and process of leveraging multiple different analyses to find common genetic patterns provides a path forward to characterizing genetic structure in wide-ranging, continuously distributed species.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0274189","usgsCitation":"Oyler-McCance, S.J., Cross, T.B., Row, J.R., Schwartz, M.K., Naugle, D.E., Fike, J., Winiarski, K.J., and Fedy, B.C., 2022, New strategies for characterizing genetic structure in wide-ranging, continuously distributed species: a Greater Sage-grouse case study: PLoS ONE, v. 17, no. 9, e0274189, 22 p., https://doi.org/10.1371/journal.pone.0274189.","productDescription":"e0274189, 22 p.","ipdsId":"IP-133504","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":446443,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0274189","text":"Publisher Index Page"},{"id":435692,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P954SEUC","text":"USGS data release","linkHelpText":"Microsatellite data, boundaries of subpopulation centers, and estimated effective migration for greater sage-grouse collected in western North America between 1992 and 2015 (ver. 2.0, December 2022)"},{"id":409920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"California, Colorado, Idaho, Montana, Nevada, North Dakota, Oregon, Saskatchewan, South Dakota, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.85817049594968,\n 48.944211671554484\n ],\n [\n -121.91877250397434,\n 47.1474161488014\n ],\n [\n -122.67771235158739,\n 44.86093534533458\n ],\n [\n -123.2329097876858,\n 42.453657898160145\n ],\n [\n -121.55177595751098,\n 39.84885081776483\n ],\n [\n -118.15892540176043,\n 36.868343628722286\n ],\n [\n -109.04528455572864,\n 36.965813793364305\n ],\n [\n -109.07308740975236,\n 39.299957667898354\n 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Center","active":true,"usgs":true}],"preferred":true,"id":858073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Todd B.","contributorId":189267,"corporation":false,"usgs":false,"family":"Cross","given":"Todd","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":858074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Row, Jeffery R.","contributorId":191345,"corporation":false,"usgs":false,"family":"Row","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":858075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwartz, Michael K.","contributorId":199035,"corporation":false,"usgs":false,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":858076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naugle, Dave E.","contributorId":207278,"corporation":false,"usgs":false,"family":"Naugle","given":"Dave","email":"","middleInitial":"E.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":858077,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":858078,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winiarski, Kristopher J.","contributorId":146615,"corporation":false,"usgs":false,"family":"Winiarski","given":"Kristopher","email":"","middleInitial":"J.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":858079,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fedy, Brad C.","contributorId":140877,"corporation":false,"usgs":false,"family":"Fedy","given":"Brad","email":"","middleInitial":"C.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":858080,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70248966,"text":"70248966 - 2022 - Partial observability and management of ecological systems","interactions":[],"lastModifiedDate":"2023-09-27T12:22:30.993295","indexId":"70248966","displayToPublicDate":"2022-09-13T07:21:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Partial observability and management of ecological 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The actual state of ecological systems is rarely known with certainty, but management actions must often be taken regardless of imperfect measurement (partial observability). Because of the difficulties in accounting for partial observability, it is usually treated in an ad hoc fashion, or simply ignored altogether. Yet incorporating partial observability into decision processes lends a realism that has the potential to improve ecological outcomes significantly. We review frameworks for dealing with partial observability, focusing specifically on dynamic ecological systems with Markovian transitions, i.e., transitions among system states that are influenced by the current system state and management action over time. Fully observable states are represented in an observable Markov decision process (MDP), whereas obscure or hidden states are represented in a partially observable process (POMDP). POMDPs can be seen as a natural extension of observable MDPs. Management under partial observability generalizes the situation for complete observability, by recognizing uncertainty about the system's state and incorporating sequential observations associated with, but not the same as, the states themselves. Decisions that otherwise would depend on the actual state must be based instead on state probability distributions (“belief states”). Partial observability requires adaptation of the entire decision process, including the use of belief states and Bayesian updates, valuation that includes expectations over observations, and optimal strategy that identifies actions for belief states over a continuous belief space. We compare MDPs and POMDPs and highlight POMDP applications to some common ecological problems. We clarify the structure and operations, approaches for finding solutions, and analytic challenges of POMDPs for practicing ecologists. Both observable and partially observable MDPs can use an inductive approach to identify optimal strategies and values, with a considerable increase in mathematical complexity with POMDPs. Better understanding of POMDPs can help decision makers manage imperfectly measured ecological systems more effectively.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.9197","usgsCitation":"Williams, B., and Brown, E., 2022, Partial observability and management of ecological systems: Ecology and Evolution, v. 12, no. 9, e9197, 32 p., https://doi.org/10.1002/ece3.9197.","productDescription":"e9197, 32 p.","ipdsId":"IP-129340","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":446444,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.9197","text":"Publisher Index Page"},{"id":421249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Byron K.","contributorId":139564,"corporation":false,"usgs":false,"family":"Williams","given":"Byron K.","affiliations":[{"id":12801,"text":"The Wildlife Society","active":true,"usgs":false}],"preferred":false,"id":884368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Ellie 0000-0001-7798-830X ebrown@usgs.gov","orcid":"https://orcid.org/0000-0001-7798-830X","contributorId":200491,"corporation":false,"usgs":true,"family":"Brown","given":"Ellie","email":"ebrown@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":884369,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70235865,"text":"sir20175070C - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources","interactions":[{"subject":{"id":70235865,"text":"sir20175070C - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources","indexId":"sir20175070C","publicationYear":"2022","noYear":false,"chapter":"C","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water Resources","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources"},"predicate":"IS_PART_OF","object":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"id":1}],"isPartOf":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"lastModifiedDate":"2026-04-01T15:49:03.755037","indexId":"sir20175070C","displayToPublicDate":"2022-09-13T06:05:15","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5070","chapter":"C","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water Resources","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources","docAbstract":"

The Williston Basin has been a leading oil and gas producing area for more than 50 years. While oil production initially peaked within the Williston Basin in the mid-1980s, production rapidly increased in the mid-2000s, largely because of improved horizontal (directional) drilling and hydraulic fracturing methods. In 2012, energy development associated with the Bakken Formation was identified as a priority requiring collaboration toward improved timeliness of issuing permits for new wells combined with reasonable measures to maintain environmental quality. Shortly thereafter, the Bakken Federal Executive Group was created to address common challenges associated with energy development. The Bakken Federal Executive Group partner agencies identified a gap in current understanding of the cumulative environmental challenges attributed to energy development throughout the area, resulting in an effort to aggregate scientific data and identify additional research and information needs related to natural resources within areas of energy development in the Williston Basin. As part of this effort, water resources in the area (including groundwater; streams and rivers; and lakes, reservoirs, and wetlands) were characterized and described in terms of physical occurrence, flow characteristics, recharge, water quality, and water use. Similarly, waters produced during energy-development activities also were characterized even though these waters are not considered usable resources within the area. Groundwater resources were characterized by the major hydrogeologic units, or aquifers, identifying the units that supply most groundwater used for domestic, stock, agricultural, and industrial purposes. The groundwater characterization included other deeper hydrogeologic units in the Williston Basin that may be a useable source of water with treatment, have utility as a reservoir for reinjection of produced waters, or be a source of minerals and energy resources. A generalized groundwater budget and flow system identifying the sources of recharge (stream infiltration, precipitation, and movement [leakage] from other aquifers) and the general groundwater flow direction is included for each of the major hydrogeologic units. Rivers and streams within the Williston Basin with 10 or more years of continuous streamflow data were identified. For a subset of these sites, streamflow characteristics, including the monthly and annual mean flow, were generated to identify seasonal and interannual changes in streamflow and thus provide information on the drivers and reliability of streamflow at the seasonal or multiyear scale. Daily streamflow and annual extreme flows (peak and low flow) also were estimated for the subset of sites. The daily streamflow and annual extreme flow values provide information on short-term or extreme events that are relevant to infrastructure design and evaluating spills, leaks, or accidental discharges of water or petroleum products. Surface-water features (lakes, ponds, and wetlands) were classified using the Cowardin system and identified on the National Wetlands Inventory maps generated by the U.S. Fish and Wildlife Service. The spatial distribution of the surface-water features was analyzed by State, county, and specifically in comparison to the Prairie Pothole Region. The proximity of the surface-water features to energy development infrastructure (specifically oil or gas well pads) was evaluated. It was determined that, although oil or gas wells are often near a surface-water feature, most surface-water features do not have wells nearby, with the exception of wells in the Prairie Pothole Region. Water-quality data were aggregated from two data sources: (1) the Water-Quality Portal, sponsored by the U.S. Geological Survey (USGS), U.S. Environmental Protection Agency (EPA), and National Water Quality Monitoring Council; and (2) a data compilation completed as part of the USGS National Water-Quality Assessment project. The Water-Quality Portal integrates publicly available water-quality data from databases maintained by the USGS, EPA, and U.S. Department of Agriculture, including water-quality data from Tribal, State, and local databases. Water-quality data for 15 commonly measured water-quality constituents were aggregated for groundwater, rivers and streams, and lakes and reservoirs. For each aggregated dataset (groundwater, rivers and streams, and lakes and reservoirs), analyses of the water-quality data included summary statistics, maps of spatial distribution of constituent values, boxplots of constituent values by timeframe or hydrogeologic unit, spatial comparisons of site locations and constituent values to petroleum well density, and comparisons of the constituent values measured to EPA drinking-water standards/guidelines. Produced water includes all fluids brought to the surface along with the targeted hydrocarbons as part of the oil and gas exploration and extraction processes. These fluids may include formation water (waters that co-exist with rock/oil/gas), hydraulic fracturing fluids, and other combinations of water and chemicals used during oil and gas well drilling, development, treatments, recompletions, and workovers. Produced water datasets were aggregated from two sources: the USGS National Produced Waters Geochemical database (ver. 2.1) and a series of projects focused specifically on sampling produced water in the Williston Basin from 2010 to 2014. The National Produced Waters Geochemical database was useful for a general understanding of produced-water chemistry. Produced waters are characterized by extreme salinity and contain elevated concentrations of other constituents (including arsenic, barium, cadmium, lead, zinc, radium-226/radium-228, and ammonium) that could negatively affect water and aquatic resources if released. Produced waters also have a generally unique chemical (isotopic) signature that may be useful in tracking water from different geologic units; for example, the oxygen/deuterium and strontium ratio values measured in brine waters from the Bakken Formation are distinct from brines collected from other geologic units in the Williston Basin.

Water-use information related to energy production in the area also was aggregated and summarized. The summary of water use is not limited to oil and gas production but includes water used to produce all types of energy resources in the Williston Basin, including coal/lignite, thermoelectric power, oil and gas, hydropower, biomass and biofuels, wind, geothermal, and solar. Each State has its own methods for regulating and reporting water usage within its jurisdiction. These methods can introduce problems when examining water use from sources, such as the Missouri River or Fox Hills aquifer, that are shared across political boundaries. Without the one-to-one match for usage types and amounts used from a water source, it is difficult to develop a comprehensive water budget for the water source being evaluated. A large amount of freshwater is required to prepare a well for oil and gas well production; in some cases, 3 to 7 million gallons of water are needed per well. The EPA estimates that hydraulic fracturing in the Williston Basin uses between 70 to 140 billion gallons per year. Water also is used for myriad other purposes related to ancillary oil and gas extraction. In addition to water used for immediate energy development, the expanded human workforce migrating into the area and other support staff who have moved into the area during the development also use water.

Research and information needs were identified that could be relevant in the evaluation of the effects of energy development on water resources. Information needs related to the evaluation of groundwater resources include the following: improved potentiometric-surface maps for glacial units; availability of a uniform stream network digital geographic coverage that spans the international boundary with Canada; enhanced surface-water use information with regards to the gain and loss of streamflow to shallow groundwater, which would increase understanding groundwater and surface-water interactions; and expanded geophysical assessments. Gaps in the availability of streamflow data include the lack of information on ice-jam flooding despite potential for effects to infrastructure (pipelines, roads, and facilities) and an understanding of the cumulative effects of largely undocumented stock and diversion dams. Although this study resulted in the aggregation of a large quantity of water-quality data, the availability of consistently collected, systematically processed and reported data over large parts of the Williston Basin is sparse. Few samples have been analyzed for constituents that may indicate the effect of energy development on water resources. Constituents that could be considered include boron, chloride, bromide, iodine, fluoride, manganese, lithium, radium, strontium isotopes, volatile organic compounds, and isotopes of inorganic ions (such as hydrogen and carbon). Collaboration between Tribal, Federal, State, and local entities to identify a common study design, common monitoring constituents, and consistent sampling locations would generate datasets with broad utility and would likely result in overall cost savings for monitoring over time. Similarly, there is a need for standardized sample collection, processing, laboratory analytical methods, and the collection of ancillary data for produced waters sampling. Additional characterization of the range of chemical, microbial, and isotopic compositions and quantities of “end-member” produced waters, and the collection of time-series datasets to document the changes in produced waters during and after well development also were needs identified during this study. Water-use estimates would be improved through the implementation of comprehensive studies of water use from groundwater and surface-water sources using consistent methodologies across the Williston Basin. The submission of chemical and water data related to hydraulic fracturing collected by the oil and gas industry would add to the quantity of available data. Consistent implementation of regulations and monitoring controls across political boundaries (State, county, and international) would further improve the consistency of data available for the estimates of water use.

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Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-09-13","revisedDate":"2022-10-18","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Bartos, Timothy T. 0000-0003-1803-4375 ttbartos@usgs.gov","orcid":"https://orcid.org/0000-0003-1803-4375","contributorId":1826,"corporation":false,"usgs":true,"family":"Bartos","given":"Timothy","email":"ttbartos@usgs.gov","middleInitial":"T.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":849550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Preston, Todd M. 0000-0002-8812-9233 tmpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":1664,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"tmpreston@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":849552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delzer, Gregory C. 0000-0002-7077-4963 gcdelzer@usgs.gov","orcid":"https://orcid.org/0000-0002-7077-4963","contributorId":986,"corporation":false,"usgs":true,"family":"Delzer","given":"Gregory","email":"gcdelzer@usgs.gov","middleInitial":"C.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lundgren, Robert F. 0000-0001-7669-0552 rflundgr@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-0552","contributorId":1657,"corporation":false,"usgs":true,"family":"Lundgren","given":"Robert","email":"rflundgr@usgs.gov","middleInitial":"F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":849556,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peterman, Zell E. 0000-0002-5694-8082 peterman@usgs.gov","orcid":"https://orcid.org/0000-0002-5694-8082","contributorId":167699,"corporation":false,"usgs":true,"family":"Peterman","given":"Zell","email":"peterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":849557,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":849558,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Macek-Rowland, Kathleen M. 0000-0003-2526-6860","orcid":"https://orcid.org/0000-0003-2526-6860","contributorId":219012,"corporation":false,"usgs":true,"family":"Macek-Rowland","given":"Kathleen M. 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The Williston Basin has been a leading domestic oil and gas producing region. As energy demands have increased, so has energy development. A group of 13 Federal agencies and Tribal groups formed the Bakken Federal Executive Group to address common challenges associated with energy development, with a focus on understanding the cumulative environmental challenges attributed to oil and gas development throughout the basin. To better understand the natural resources in the Williston Basin, the U.S. Geological Survey, in cooperation with the Bureau of Land Management, began work to synthesize existing information on science topics that will support management decisions related to energy development. This report is a compilation of information regarding the natural setting, energy development history, demographics, and related investigations related to energy development in the Williston Basin of Montana, North Dakota, and South Dakota. Completed and ongoing investigations include the topical areas of unconventional oil and gas assessments, water quality, water availability, air quality, effects on human health, and ecological effects.

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Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue, Bismarck, ND 58503
1608 Mountain View Road, Rapid City, SD 57702

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-09-13","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Vining, Kevin C. 0000-0001-5738-3872 kcvining@usgs.gov","orcid":"https://orcid.org/0000-0001-5738-3872","contributorId":308,"corporation":false,"usgs":true,"family":"Vining","given":"Kevin","email":"kcvining@usgs.gov","middleInitial":"C.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":708262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":708263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":708264,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190940,"text":"sir20175070A - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive summary","interactions":[{"subject":{"id":70190940,"text":"sir20175070A - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive summary","indexId":"sir20175070A","publicationYear":"2022","noYear":false,"chapter":"A","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive Summary","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive summary"},"predicate":"IS_PART_OF","object":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"id":1}],"isPartOf":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"lastModifiedDate":"2026-04-01T15:42:07.146501","indexId":"sir20175070A","displayToPublicDate":"2022-09-13T06:02:44","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5070","chapter":"A","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive Summary","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive summary","docAbstract":"

Executive Summary

The Williston Basin, which includes parts of Montana, North Dakota, and South Dakota in the United States and parts of Manitoba and Saskatchewan in Canada, has been explored as a potential source of energy resources since the early 20th century; however, commercially viable petroleum drilling and recovery began in earnest in the 1950s. When oil prices rose in the mid-1980s, the number of wells also increased and then subsequently declined. Interest in the Williston Basin increased again in the mid-2000s with the application of new drilling technology. Since then, development has increased rather quickly. Most of this new development has been facilitated by advances in horizontal drilling and hydraulic fracturing technologies. The North Dakota Department of Mineral Resources reported an increase of more than 10,000 producing wells between 2000 and the spring of 2016. In total, 84 percent of those 10,000 wells target the Bakken Formation, which is now home to one of the Nation’s largest energy booms. Current estimates suggest that exploration and drilling activities are expected to continue for the next 20 to 50 years; however, future activity will likely ebb and flow in response to energy prices.

Although most energy has been developed on non-Federal property, more than 2,000 wells were started on federally managed lands in the three States that contain the Williston Basin between 2004 and 2015, though these numbers do not reflect whether or not these wells targeted the Bakken Formation. Executive Order no. 13604 (March 22, 2012) directs Federal agencies to improve the timeliness of the permitting process for extracting publically owned minerals, while minimizing negative environmental effects. This means that Federal agencies need information about how energy development may affect other resources they are tasked with managing. One example of where information about potential effects of development may be useful is the Bureau of Land Management’s permitting process. Permits may include stipulations or special conditions that limit unforeseen negative consequences or ameliorate potential conflicts of future development. Federal agencies also need to coordinate permitting actions to ensure that development complies with existing regulations (for example, the Endangered Species Act [16 U.S.C. § 1531 et seq.] or the National Environmental Protection Act [42 U.S.C. § 4321 et seq.]) without unnecessarily restricting or delaying development. Part of this coordination entails agreeing on the information that will be used to assess the potential effects of energy development, which should also improve efficiency of the permitting process. Within the Williston Basin, a group of Federal agencies called the Bakken Federal Executive Group is developing coordination strategies for numerous energy-related issues on Federal lands. This report was developed in cooperation with the Bureau of Land Management to provide them with the best available scientific information to support documentation of potential effects on resources that Federal agencies manage. This report summarizes information about the effects of energy development on air, water, and biological resources within the U.S. part of the Williston Basin.

The topics discussed in the report were based on a prioritized list of information needs elicited from the Bakken Federal Executive Group. The list was developed using a process known as structured decision making or decision analysis. This process began with an initial scoping workshop to determine the range of decisions made by those involved directly in managing energy development and resources on public land. U.S. Geological Survey staff then developed a simple quantitative ranking tool to assess which information needs were of greatest importance to those decisions.

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Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-09-13","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Post van der Burg, Max 0000-0002-3943-4194","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":216013,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vining, Kevin C. 0000-0001-5738-3872","orcid":"https://orcid.org/0000-0001-5738-3872","contributorId":216014,"corporation":false,"usgs":true,"family":"Vining","given":"Kevin C.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frankforter, Jill D. 0000-0003-0371-2313","orcid":"https://orcid.org/0000-0003-0371-2313","contributorId":216015,"corporation":false,"usgs":true,"family":"Frankforter","given":"Jill","email":"","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763645,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189992,"text":"sir20175070D - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Species of conservation concern","interactions":[{"subject":{"id":70189992,"text":"sir20175070D - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Species of conservation concern","indexId":"sir20175070D","publicationYear":"2022","noYear":false,"chapter":"D","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Species of Conservation Concern","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Species of conservation concern"},"predicate":"IS_PART_OF","object":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"id":1}],"isPartOf":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"lastModifiedDate":"2026-04-01T15:53:37.245749","indexId":"sir20175070D","displayToPublicDate":"2022-09-13T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5070","chapter":"D","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Species of Conservation Concern","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Species of conservation concern","docAbstract":"

The ecosystems of the Williston Basin provide direct and indirect benefits to society. These benefits include carbon sequestration, flood control, nutrient rich soils for agricultural productivity, and habitat for wildlife. This chapter’s main focus is on the effects of energy development on species that occupy the ecosystems in the Williston Basin. We compiled a list of documented species of conservation concern that are of most interest to Federal regulators and resource managers. Species of concern were either listed as endangered or threatened under the Endangered Species Act or listed by States as species of concern in Natural Heritage Program checklists or State Wildlife Action Plans. All told, we determined that 357 species of concern likely occupy the Williston Basin. These species represented seven different taxonomic groups: plants (native and nonnative), terrestrial invertebrates, birds, mammals, reptiles and amphibians, and fish and mussels.

We reviewed the existing scientific information pertaining to potential effects of energy development on these taxonomic groups. Currently, little is known about the abundance and distribution of many of these species. But some information exists that may be useful in predicting the potential effects of energy development on certain taxonomic groups. Most of this information has been developed through scientific research focused on effects to mammal and bird populations. Effects to other taxonomic groups seems to be understudied. In general, it seems that disturbances and modifications associated with development have the potential to negatively affect a wide range of species; however, many studies produce uncertain results because they are not designed to compare populations before and after energy development takes place. Most of these studies also do not monitor resources over multiple years and thus cannot detect population trends. Likewise, there are few examples of landscape-scale assessments of the cumulative effects of energy development that could be used for species or habitat management purposes. We suggest that more research needs to be completed to measure potential effects to a broad range of species in multiple taxonomic groups. This may require also developing some understanding about the basic ecology of many of the species covered in this report. In concert with this more basic research, we also suggest that more comprehensive assessments of potential negative cumulative effects across the Williston Basin should be developed in an effort to guide more strategic management of biological resources.

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Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-09-13","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","scienceBaseUri":"59ce0a2ae4b05fe04cc02106","contributors":{"authors":[{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":2611,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy J.","email":"asymstad@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":707020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707022,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sargeant, Glen A. 0000-0003-3845-8503 gsargeant@usgs.gov","orcid":"https://orcid.org/0000-0003-3845-8503","contributorId":1301,"corporation":false,"usgs":true,"family":"Sargeant","given":"Glen","email":"gsargeant@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707024,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harper, David D. 0000-0001-7061-8461 david_harper@usgs.gov","orcid":"https://orcid.org/0000-0001-7061-8461","contributorId":1140,"corporation":false,"usgs":true,"family":"Harper","given":"David","email":"david_harper@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":707026,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Farag, Aida M. 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":1139,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":707027,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tangen, Brian A. 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":467,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian A.","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":707025,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707028,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70191166,"text":"sir20175070 - 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About this volume

The Williston Basin, which includes parts of Montana, North Dakota, and South Dakota in the United States, has been a leading domestic oil and gas producing area. To better understand the potential effects of energy development on environmental resources in the Williston Basin, the U.S. Geological Survey, in cooperation with the Bureau of Land Management, and in support of the needs identified by the Bakken Federal Executive Group (consisting of representatives from 13 Federal agencies and Tribal groups), began work to synthesize existing information on science topics to support management decisions related to energy development. This report is divided into four chapters (A–D). Chapter A provides an executive summary of the report and principal findings from chapters B–D. Chapter B provides a brief compilation of information regarding the history of energy development, physiography, climate, land use, demographics, and related studies in the Williston Basin. Chapter C synthesizes current information about water resources, identifies potential effects from energy development, and summarizes water resources research and information needs in the Williston Basin. Chapter D summarizes information about ecosystems, species of conservation concern, and potential effects to those species from energy development in the Williston Basin.

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Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue, Bismarck, ND 58503
1608 Mountain View Road, Rapid City, SD 57702

Director, Northern Prairie Wildlife Research Center 
U.S. Geological Survey 
8711 37th Street Southeast 
Jamestown, ND 58401

Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601

Contact Pubs Warehouse

","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-09-13","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","scienceBaseUri":"59ce0a27e4b05fe04cc020fc"} ,{"id":70236494,"text":"fs20223066 - 2022 - Assessment of undiscovered conventional oil and gas resources in Paleozoic total petroleum systems of the Central European Basin system, 2019","interactions":[],"lastModifiedDate":"2022-09-12T16:09:41.916749","indexId":"fs20223066","displayToPublicDate":"2022-09-12T11:45:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3066","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources in Paleozoic Total Petroleum Systems of the Central European Basin System, 2019","title":"Assessment of undiscovered conventional oil and gas resources in Paleozoic total petroleum systems of the Central European Basin system, 2019","docAbstract":"

Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 278 million barrels of oil and 25.7 trillion cubic feet of gas in Paleozoic total petroleum systems of the Central European Basin System.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20223066","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Leathers-Miller, H.M., Le, P.A., Drake, R.M., II, and Brownfield, M.E., 2022, Assessment of undiscovered conventional oil and gas resources in Paleozoic total petroleum systems of the Central European Basin system, 2019: U.S. Geological Survey Fact Sheet 2022–3066, 4 p., https://doi.org/10.3133/fs20223066.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-115741","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":406405,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R9DNDO","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Paleozoic Petroleum Systems of Central European Basin System: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":406404,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3066/fs20223066.pdf","text":"Report","size":"7.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS2022-3066"},{"id":406403,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3066/coverthb.jpg"}],"country":"Belgium, Denmark, Germany, Netherlands, Norway, Poland, Sweden, United Kingdom","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -1.58203125,\n 51.25\n ],\n [\n 20.0390625,\n 51.25\n ],\n [\n 20.0390625,\n 58.26328705248601\n ],\n [\n -1.58203125,\n 58.26328705248601\n ],\n [\n -1.58203125,\n 51.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishedDate":"2022-09-12","noUsgsAuthors":false,"publicationDate":"2022-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":851244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":255366,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":851245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":851246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":210000,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi M.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":851249,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le, Phuong A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":255367,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":851248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drake, Ronald M. II 0000-0002-1770-4667","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":206291,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":851250,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":851251,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70237601,"text":"70237601 - 2022 - Mountain rivers reveal the earthquake hazard of geologic faults in Silicon Valley","interactions":[],"lastModifiedDate":"2022-10-14T14:52:31.909511","indexId":"70237601","displayToPublicDate":"2022-09-12T09:47:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mountain rivers reveal the earthquake hazard of geologic faults in Silicon Valley","docAbstract":"

The 1989, Mw = 6.9 Loma Prieta earthquake resulted in tens of lives lost and cost California almost 3% of its gross domestic product. Despite widespread damage, the earthquake did not clearly rupture the surface, challenging the identification and characterization of these hidden hazards. Here, we show that they can be illuminated by inverting fluvial topography for slip-and moment accrual-rates—fundamental components in earthquake hazard assessments—along relief-generating geologic faults. We applied this technique to thrust faults bounding the mountains along the western side of Silicon Valley in the San Francisco Bay Area, and discovered that these structures may be capable of generating a Mw = 6.9 earthquake every 250–300 years based on moment accrual rates. This method may be deployed broadly to evaluate seismic hazard in developing regions with limited geological and geophysical information.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GL099220","usgsCitation":"Aron, F., Johnstone, S., Mavrommatis, A., Sare, R.M., Maerten, F., Loveless, J., Baden, C., and Hilley, G.E., 2022, Mountain rivers reveal the earthquake hazard of geologic faults in Silicon Valley: Geophysical Research Letters, v. 49, no. 19, e2022GL099220, 12 p., https://doi.org/10.1029/2022GL099220.","productDescription":"e2022GL099220, 12 p.","ipdsId":"IP-116855","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":446446,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022gl099220","text":"Publisher Index Page"},{"id":408321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Silicon Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.55,\n 36.75\n ],\n [\n -121.5,\n 36.75\n ],\n [\n -121.5,\n 37.5\n ],\n [\n -122.5,\n 37.5\n ],\n [\n -122.5,\n 36.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"19","noUsgsAuthors":false,"publicationDate":"2022-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Aron, Felipe","contributorId":222423,"corporation":false,"usgs":false,"family":"Aron","given":"Felipe","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":854619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":854620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mavrommatis, Andreas","contributorId":297911,"corporation":false,"usgs":false,"family":"Mavrommatis","given":"Andreas","email":"","affiliations":[{"id":64450,"text":"Department of Geophysics, Stanford University, Stanford, CA 94305","active":true,"usgs":false}],"preferred":false,"id":854621,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sare, Robert M.","contributorId":210055,"corporation":false,"usgs":false,"family":"Sare","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":38061,"text":"Department of Geological Sciences, Stanford University, Stanford, CA","active":true,"usgs":false}],"preferred":false,"id":854622,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maerten, Frantz","contributorId":297912,"corporation":false,"usgs":false,"family":"Maerten","given":"Frantz","email":"","affiliations":[{"id":64451,"text":"YouWol, 455, Avenue Alfred Sauvy, Le Lancaster, 34470 Perols, France","active":true,"usgs":false}],"preferred":false,"id":854623,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loveless, Jack","contributorId":297913,"corporation":false,"usgs":false,"family":"Loveless","given":"Jack","email":"","affiliations":[{"id":64453,"text":"Department of Geoscience, Smith College, Northampton, MA 01063","active":true,"usgs":false}],"preferred":false,"id":854624,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baden, Curtis W","contributorId":222424,"corporation":false,"usgs":false,"family":"Baden","given":"Curtis W","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":854625,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hilley, George E.","contributorId":197258,"corporation":false,"usgs":false,"family":"Hilley","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":854626,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70236576,"text":"70236576 - 2022 - Integrated modeling of dynamic marsh feedbacks and evolution under sea-level rise in a mesotidal estuary (Plum Island, MA, USA)","interactions":[],"lastModifiedDate":"2022-09-12T13:40:47.337166","indexId":"70236576","displayToPublicDate":"2022-09-12T08:30:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Integrated modeling of dynamic marsh feedbacks and evolution under sea-level rise in a mesotidal estuary (Plum Island, MA, USA)","docAbstract":"

Around the world, wetland vulnerability to sea-level rise (SLR) depends on different factors including tidal regimes, topography, creeks and estuary geometry, sediment availability, vegetation type, etc. The Plum Island estuary (PIE) is a mesotidal wetland system on the east coast of the United States. This research applied a newly updated Hydro-MEM (integrated hydrodynamic-marsh) model to assess the impacts of intermediate-low (50 cm), intermediate (1 m), and intermediate-high (1.5 m) SLR on marsh evolution by the year 2100. Model advancements include capturing vegetation change, inorganic and below and aboveground organic matter portion of marsh platform accretion, and mudflat creation. Although the results indicate a low vulnerability marsh at the PIE, the vegetation changes from high to low marsh under all SLR scenarios (2%–22%), with the higher bounds belonging to higher rise scenarios. Lower SLR produces more productive marsh (13% gain in high productivity regions), whereas the highest SLR scenario causes increased tidal inundation, which leads to loss in productivity (12% change from high to low productivity regions), generation of mudflats (17% of the domain land), and marsh migration to higher lands. Sensitive nonlinear tidal flow changes, which may be increased or decreased with SLR as a result of mudflat creation, marsh migration, and bottom friction change, emphasize the importance of integrated modeling approaches that include dynamic marsh feedbacks in hydrodynamic modeling and varying hydrodynamic effects on the marsh system.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022WR032225","usgsCitation":"Alizad, K., Morris, J.T., Bilskie, M.V., Passeri, D., and Hagen, S.C., 2022, Integrated modeling of dynamic marsh feedbacks and evolution under sea-level rise in a mesotidal estuary (Plum Island, MA, USA): Water Resources Research, v. 58, no. 8, e2022WR032225, 18 p., https://doi.org/10.1029/2022WR032225.","productDescription":"e2022WR032225, 18 p.","ipdsId":"IP-141664","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":446448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022wr032225","text":"Publisher Index Page"},{"id":406523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Plum Island, Plum Island Estuary","geographicExtents":"{\n 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T.","contributorId":288074,"corporation":false,"usgs":false,"family":"Morris","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":61699,"text":"Belle W. Baruch Institute for Marine and Coastal Sciences, University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":851430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":851431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":851432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hagen, Scott C.","contributorId":166890,"corporation":false,"usgs":false,"family":"Hagen","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":851433,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236590,"text":"70236590 - 2022 - Climate change weakens the impact of disturbance interval on the growth rate of natural populations of Venus flytrap","interactions":[],"lastModifiedDate":"2022-11-16T17:05:26.495283","indexId":"70236590","displayToPublicDate":"2022-09-12T08:18:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Climate change weakens the impact of disturbance interval on the growth rate of natural populations of Venus flytrap","docAbstract":"

Disturbances elicit both positive and negative effects on organisms; these effects vary in their strength and their timing. Effects of disturbance interval (i.e., the length of time between disturbances) on population growth will depend on both the timing and strength of positive and negative effects of disturbances. Climate change can modify the relative strengths of these positive and negative effects, leading to altered optimal disturbance intervals (the disturbance interval at which population growth rate is highest) and changes in the sensitivity of population growth rate to disturbance interval. While we know that climate may alter impacts of disturbance in some systems, we have a poor understanding of which effects of disturbance and which vital rates might drive an altered response to disturbance interval in a changing climate. We use demographic monitoring of natural populations of Dionaea muscipula, the Venus flytrap, that have experienced natural and managed fires, combined with realistic past and future climate projections, to construct climate- and fire-driven integral projection models (IPMs). We use these IPMs to compare the effect of fire return interval (FRI) on population growth rate in past and future climates. To dissect the mechanisms driving FRI response, we then construct IPMs with demographic data from an experimental manipulation of fire effects (ash addition, neighbor removal) and an accidental fire. Our results show that an FRI of 10 years is optimal for D. muscipula in past climate conditions, but a longer FRI (12 years) is optimal in future climate conditions. Further, deviations from optimal FRI reduce population growth rate dramatically in the past climate, but this reduction is muted in a future climate (future minus past sensitivity = 0.006, 95% CI [0.002, 0.011]). Finally, our experimental work suggests that fire effects are driven in part by positive, additive effects of competitor removal and ash addition immediately following a fire; for one population, both these treatments significantly increased population growth rate. Our work suggests that climate change can alter the response of populations to disturbance, highlighting the need to consider the interacting effects of multiple abiotic drivers when projecting future population growth and geographical distributions.

","language":"English","publisher":"Wiley","doi":"10.1002/ecm.1528","usgsCitation":"Louthan, A.M., Keighron, M., Kiekebusch, E., Cayton, H., Terando, A., and Morris, W., 2022, Climate change weakens the impact of disturbance interval on the growth rate of natural populations of Venus flytrap: Ecological Monographs, v. 92, e1528, 18 p., https://doi.org/10.1002/ecm.1528.","productDescription":"e1528, 18 p.","ipdsId":"IP-114086","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":446451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.1528","text":"Publisher Index Page"},{"id":406517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.310791015625,\n 34.59478059328729\n ],\n [\n -76.7230224609375,\n 34.59478059328729\n ],\n [\n -76.7230224609375,\n 35.018750379438295\n ],\n [\n -77.310791015625,\n 35.018750379438295\n ],\n [\n -77.310791015625,\n 34.59478059328729\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.28970336914062,\n 35.04011643687423\n ],\n [\n -78.8818359375,\n 35.04011643687423\n ],\n [\n -78.8818359375,\n 35.3308118573182\n ],\n [\n -79.28970336914062,\n 35.3308118573182\n ],\n [\n -79.28970336914062,\n 35.04011643687423\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"92","noUsgsAuthors":false,"publicationDate":"2022-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Louthan, Allison M","contributorId":266009,"corporation":false,"usgs":false,"family":"Louthan","given":"Allison","email":"","middleInitial":"M","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":851461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keighron, Melina","contributorId":296421,"corporation":false,"usgs":false,"family":"Keighron","given":"Melina","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":851462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiekebusch, Elsita","contributorId":257676,"corporation":false,"usgs":false,"family":"Kiekebusch","given":"Elsita","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":851463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cayton, Heather","contributorId":229344,"corporation":false,"usgs":false,"family":"Cayton","given":"Heather","email":"","affiliations":[{"id":41625,"text":"Kellogg Biological Station and Department of Integrative Biology, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":851464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Terando, Adam J. 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":216875,"corporation":false,"usgs":true,"family":"Terando","given":"Adam J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":851465,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morris, William F.","contributorId":266011,"corporation":false,"usgs":false,"family":"Morris","given":"William F.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":851466,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70236586,"text":"70236586 - 2022 - A machine learning approach to predicting equilibrium ripple wavelength","interactions":[],"lastModifiedDate":"2022-09-28T16:48:59.256996","indexId":"70236586","displayToPublicDate":"2022-09-12T08:11:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7599,"text":"Environmental Modeling and Software","active":true,"publicationSubtype":{"id":10}},"title":"A machine learning approach to predicting equilibrium ripple wavelength","docAbstract":"

Sand ripples are geomorphic features on the seafloor that affect bottom boundary layer dynamics including wave attenuation and sediment transport. We present a new equilibrium ripple predictor using a machine learning approach that outputs a probability distribution of wave-generated equilibrium wavelengths and statistics including an estimate of ripple height, the most probable ripple wavelength, and sediment and flow parameterizations. The Bayesian Optimal Model System (BOMS) is an ensemble machine learning system that combines two machine learning algorithms and two deterministic empirical ripple predictors with a Bayesian meta-learner to produce probabilistic wave-generated equilibrium ripple wavelength estimates in sandy locations. A ten-fold cross validation of BOMS resulted in an adjusted R-squared value of 0.93 and an average root mean square error (RMSE) of 8.0 cm. During both cross validation and testing on three unique field datasets, BOMS provided more accurate wavelength predictions than each individual base model and other common ripple predictors.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2022.105509","usgsCitation":"Phillip, R.E., Penko, A.M., Palmsten, M.L., and DuVal, C.B., 2022, A machine learning approach to predicting equilibrium ripple wavelength: Environmental Modeling and Software, v. 157, 105509, 13 p., https://doi.org/10.1016/j.envsoft.2022.105509.","productDescription":"105509, 13 p.","ipdsId":"IP-133890","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":446454,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2022.105509","text":"Publisher Index Page"},{"id":406515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"157","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Phillip, Ryan E.","contributorId":296413,"corporation":false,"usgs":false,"family":"Phillip","given":"Ryan","email":"","middleInitial":"E.","affiliations":[{"id":62875,"text":"U.S. Naval Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":851445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Penko, Allison M.","contributorId":296414,"corporation":false,"usgs":false,"family":"Penko","given":"Allison","email":"","middleInitial":"M.","affiliations":[{"id":62875,"text":"U.S. Naval Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":851446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":851447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DuVal, Carter B.","contributorId":296415,"corporation":false,"usgs":false,"family":"DuVal","given":"Carter","email":"","middleInitial":"B.","affiliations":[{"id":62875,"text":"U.S. Naval Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":851448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70249322,"text":"70249322 - 2022 - Sedimentary organics in Glen Torridon, Gale Crater, Mars: Results from the SAM instrument suite and supporting laboratory analyses","interactions":[],"lastModifiedDate":"2023-10-04T12:21:37.460362","indexId":"70249322","displayToPublicDate":"2022-09-12T07:17:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentary organics in Glen Torridon, Gale Crater, Mars: Results from the SAM instrument suite and supporting laboratory analyses","docAbstract":"

The Sample Analysis at Mars (SAM) suite instrument on board NASA's Curiosity rover has characterized the inorganic and organic chemical composition of seven samples from the Glen Torridon (GT) clay-bearing unit. A variety of organic molecules were detected with SAM using pyrolysis (up to ∼850°C) and wet chemistry experiments coupled with evolved gas analysis (EGA) and gas chromatography-mass spectrometry. SAM EGA and GCMS analyses revealed a greater diversity and abundance of sulfur-bearing aliphatic and aromatic organic compounds in the sediments of this Gale crater unit than earlier in the mission. We also report the detection of nitrogen-containing, oxygen-containing, and chlorine-containing molecules, as well as polycyclic aromatic hydrocarbons found in GT, although the sources of some of these organics may be related to the presence of chemical reagents in the SAM instrument background. However, sulfur-bearing organics released at high temperature (≥600°C) are likely derived from Martian sources (e.g., igneous, hydrothermal, atmospheric, or biological) or exogenous sources and consistent with the presence of recalcitrant organic materials in the sample. The SAM measurements of the GT clay-bearing unit expand the inventory of organic matter present in Gale crater and is also consistent with the hypothesis that clay minerals played an important role in the preservation of ancient refractory organic matter on Mars. These findings deepen our understanding of the past habitability and biological potential of Gale crater.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JE007107","usgsCitation":"Millan, M., Williams, A., McAdam, A., Eigenbrode, J., Steele, A., Freissinet, C., Glavin, D.P., Szopa, C., Buch, A., Summons, R.E., Lewis, J.M., Wong, G.M., House, C.H., Sutter, B., McIntosh, O., Bryk, A.B., Franz, H.B., Pozarycki, C., Stern, J.C., Navarro-Gonzalez, R., Williams, R.H., Archer, D.P., Fox, V., Bennett, K.A., Teinturier, S., Malespin, C., Johnson, S., and Mahaffy, P.R., 2022, Sedimentary organics in Glen Torridon, Gale Crater, Mars: Results from the SAM instrument suite and supporting laboratory analyses: JGR Planets, v. 127, no. 11, e2021JE007107, 28 p., https://doi.org/10.1029/2021JE007107.","productDescription":"e2021JE007107, 28 p.","ipdsId":"IP-135175","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":446462,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021je007107","text":"Publisher Index Page"},{"id":421585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Millan, Maeva","contributorId":293551,"corporation":false,"usgs":false,"family":"Millan","given":"Maeva","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":885150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Amy","contributorId":176785,"corporation":false,"usgs":false,"family":"Williams","given":"Amy","affiliations":[],"preferred":false,"id":885151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAdam, Amy","contributorId":261807,"corporation":false,"usgs":false,"family":"McAdam","given":"Amy","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":885152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eigenbrode, Jennifer","contributorId":293560,"corporation":false,"usgs":false,"family":"Eigenbrode","given":"Jennifer","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":885153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steele, A.","contributorId":296833,"corporation":false,"usgs":false,"family":"Steele","given":"A.","affiliations":[{"id":64207,"text":"Earth and Planetary Laboratory, Carnegie Science","active":true,"usgs":false}],"preferred":false,"id":885154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freissinet, C","contributorId":330501,"corporation":false,"usgs":false,"family":"Freissinet","given":"C","affiliations":[{"id":78911,"text":"LATMOS/IPSL","active":true,"usgs":false}],"preferred":false,"id":885155,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glavin, D. 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P.","contributorId":330513,"corporation":false,"usgs":false,"family":"Archer","given":"D.","email":"","middleInitial":"P.","affiliations":[{"id":27073,"text":"NASA JSC","active":true,"usgs":false}],"preferred":false,"id":885170,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Fox, V.","contributorId":257270,"corporation":false,"usgs":false,"family":"Fox","given":"V.","affiliations":[],"preferred":false,"id":885171,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":885172,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Teinturier, S.","contributorId":330514,"corporation":false,"usgs":false,"family":"Teinturier","given":"S.","affiliations":[{"id":39055,"text":"NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":885173,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Malespin, C.","contributorId":330515,"corporation":false,"usgs":false,"family":"Malespin","given":"C.","email":"","affiliations":[{"id":39055,"text":"NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":885174,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Johnson, S. S.","contributorId":330516,"corporation":false,"usgs":false,"family":"Johnson","given":"S. S.","affiliations":[{"id":7146,"text":"Georgetown University","active":true,"usgs":false}],"preferred":false,"id":885175,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Mahaffy, P. R.","contributorId":265236,"corporation":false,"usgs":false,"family":"Mahaffy","given":"P.","email":"","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":885176,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}} ,{"id":70241526,"text":"70241526 - 2022 - Forecasting explosions at Sinabung Volcano, Indonesia, based on SO2 emission rates","interactions":[],"lastModifiedDate":"2023-03-22T11:53:19.487909","indexId":"70241526","displayToPublicDate":"2022-09-12T06:51:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting explosions at Sinabung Volcano, Indonesia, based on SO2 emission rates","docAbstract":"

Dome-building volcanic eruptions are often associated with frequent Vulcanian explosions, which constitute a substantial threat to proximal communities. One proposed mechanism driving such explosions is the sealing of the shallow volcanic system followed by pressurization due to gas accumulation beneath the seal. We investigate this hypothesis at Sinabung Volcano (Sumatra, Indonesia), which has been in a state of eruption since August 2010. In 2013, the volcano began erupting a lava dome and lava flow, and frequent explosions produced eruptive columns that rose many kilometers into the atmosphere and at times sent pyroclastic density currents down the southeast flanks. A network of scanning Differential Optical Absorption Spectrometers (DOAS) was installed on the volcano’s eastern flank in 2016 to continuously monitor SO2 emission rates during daytime hours. Analysis of the DOAS data from October 2016 to September 2017 revealed that passive SO2 emissions were generally lower in the 5 days leading up to explosive events (∼100 t/d) than was common in 5-day periods leading up to days on which no explosions occurred (∼200 t/d). The variability of passive SO2 emissions, expressed as the standard deviation, also took on a slightly wider range of values before days with explosions (0–103 t/d at 1-sigma) than before days without explosions (43–117 t/d). These observations are consistent with the aforementioned seal-failure model, where the sealing of the volcanic conduit blocks gas emissions and leads to pressurization and potential Vulcanian explosions. We develop a forecasting methodology that allows calculation of a relative daily explosion probability based solely on measurements of the SO2 emission rate in the preceding days. We then calculate forecast explosion probabilities for the remaining SO2 emissions dataset (October 2017—September 2021). While the absolute accuracy of forecast explosion probabilities is variable, the method can inform the probability of an explosion occurring relative to that on other days in each test period. This information can be used operationally by volcano observatories to assess relative risk. The SO2 emissions-based forecasting method is likely applicable to other open vent volcanoes experiencing dome-forming eruptions.

","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2022.976928","usgsCitation":"Kunrat, S., Kern, C., Alfianti, H., and Lerner, A., 2022, Forecasting explosions at Sinabung Volcano, Indonesia, based on SO2 emission rates: Frontiers in Earth Science, v. 10, 976928, 15 p., https://doi.org/10.3389/feart.2022.976928.","productDescription":"976928, 15 p.","ipdsId":"IP-143352","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":446465,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2022.976928","text":"Publisher Index Page"},{"id":414539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2022-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Kunrat, Syegi","contributorId":205266,"corporation":false,"usgs":false,"family":"Kunrat","given":"Syegi","email":"","affiliations":[{"id":37069,"text":"CVGHM, Portland State University","active":true,"usgs":false}],"preferred":false,"id":867116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":867117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alfianti, Hilma","contributorId":205267,"corporation":false,"usgs":false,"family":"Alfianti","given":"Hilma","email":"","affiliations":[{"id":37068,"text":"CVGHM","active":true,"usgs":false}],"preferred":false,"id":867118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lerner, Allan 0000-0001-7208-1493","orcid":"https://orcid.org/0000-0001-7208-1493","contributorId":229362,"corporation":false,"usgs":true,"family":"Lerner","given":"Allan","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":867119,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70237135,"text":"70237135 - 2022 - Geology and stratigraphic correlation of the Murray and Carolyn Shoemaker formations across the Glen Torridon region, Gale crater, Mars","interactions":[],"lastModifiedDate":"2022-09-30T11:46:36.893386","indexId":"70237135","displayToPublicDate":"2022-09-12T06:44:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5718,"text":"Journal of Geophysical Research: Planets","onlineIssn":"2169-9100","active":true,"publicationSubtype":{"id":10}},"title":"Geology and stratigraphic correlation of the Murray and Carolyn Shoemaker formations across the Glen Torridon region, Gale crater, Mars","docAbstract":"

The Glen Torridon (GT) region within Gale crater, Mars, occurs in contact with the southern side of Vera Rubin ridge (VRR), a well-defined geomorphic feature that is comparatively resistant to erosion. Prior to detailed ground-based investigation of GT, its geologic relationship with VRR was unknown. Distinct lithologic subunits within the Jura member (Murray formation), which forms the upper part of VRR, made it possible to be also identified within GT. This indicates that the strata pass across the geomorphic divide between regions. Furthermore, the cross-bedded lower part of the overlying Knockfarril Hill member (Carolyn Shoemaker formation) also occurs within both VRR and GT. Correlation of both units demonstrates that the strata form a continuous stratigraphic succession regardless of large-scale geomorphic expression. The lithologic change from mudstone (Jura member) to cross-bedded sandstone (Knockfarril Hill member) heralds a significant shift in paleoenvironment from lacustrine to fluvial. The upper part of the Knockfarril Hill member consists of interbedded mudstone and sandstone that transitions to the overlying finely laminated mudstone of the Glasgow member, and a return to lacustrine deposition. In GT, the Stimson formation unconformably overlies the Glasgow member, where it demarks the southern boundary of GT. Contacts for each stratigraphic unit were defined and transferred to a high-resolution image base to make a geologic map and cross sections perpendicular to the NE strike. Stratal dips cannot exceed 2° NW to retain the positions of stratigraphic units in the locations they are exposed throughout GT.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JE007408","usgsCitation":"Fedo, C.M., Bryk, A., Edgar, L.A., Bennett, K.A., Fox, V.K., Dietrich, W.E., Banham, S.G., Gupta, S., Stack, K.M., Williams, R., Grotzinger, J.P., Stein, N., Rubin, D., Caravaca, G., Arvidson, R.E., Hughes, M.N., Fraeman, A.A., Vasavada, A.R., Schieber, J., and Sutter, B., 2022, Geology and stratigraphic correlation of the Murray and Carolyn Shoemaker formations across the Glen Torridon region, Gale crater, Mars: Journal of Geophysical Research: Planets, v. 127, no. 9, e2022JE007408, 19 p., https://doi.org/10.1029/2022JE007408.","productDescription":"e2022JE007408, 19 p.","ipdsId":"IP-141885","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":446468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022je007408","text":"Publisher Index Page"},{"id":407690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"127","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Fedo, Christopher M.","contributorId":229497,"corporation":false,"usgs":false,"family":"Fedo","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":853441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bryk, Alexander","contributorId":237065,"corporation":false,"usgs":false,"family":"Bryk","given":"Alexander","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":853442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":853443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":853444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, Valerie K.","contributorId":167652,"corporation":false,"usgs":false,"family":"Fox","given":"Valerie","email":"","middleInitial":"K.","affiliations":[{"id":24730,"text":"Department of Earth and Planetary Sciences, Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":853445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dietrich, William E.","contributorId":195599,"corporation":false,"usgs":false,"family":"Dietrich","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":853446,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Banham, Steve G.","contributorId":203783,"corporation":false,"usgs":false,"family":"Banham","given":"Steve","email":"","middleInitial":"G.","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":853447,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gupta, Sanjeev","contributorId":172302,"corporation":false,"usgs":false,"family":"Gupta","given":"Sanjeev","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":853448,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stack, Kathryn M. 0000-0003-3444-6695","orcid":"https://orcid.org/0000-0003-3444-6695","contributorId":146791,"corporation":false,"usgs":false,"family":"Stack","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":853449,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Williams, Rebecca","contributorId":195304,"corporation":false,"usgs":false,"family":"Williams","given":"Rebecca","affiliations":[],"preferred":false,"id":853450,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grotzinger, John P.","contributorId":58011,"corporation":false,"usgs":false,"family":"Grotzinger","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":853451,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stein, Nathan","contributorId":167651,"corporation":false,"usgs":false,"family":"Stein","given":"Nathan","affiliations":[{"id":24730,"text":"Department of Earth and Planetary Sciences, Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":853452,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rubin, Dave","contributorId":189222,"corporation":false,"usgs":false,"family":"Rubin","given":"Dave","email":"","affiliations":[],"preferred":false,"id":853453,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Caravaca, Gwenael","contributorId":293561,"corporation":false,"usgs":false,"family":"Caravaca","given":"Gwenael","email":"","affiliations":[{"id":63327,"text":"University Copenhagen","active":true,"usgs":false}],"preferred":false,"id":853454,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Arvidson, Ray E.","contributorId":237067,"corporation":false,"usgs":false,"family":"Arvidson","given":"Ray","email":"","middleInitial":"E.","affiliations":[{"id":35028,"text":"Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":853455,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hughes, Madison N","contributorId":229475,"corporation":false,"usgs":false,"family":"Hughes","given":"Madison","email":"","middleInitial":"N","affiliations":[{"id":37383,"text":"Washington University","active":true,"usgs":false}],"preferred":false,"id":853456,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Fraeman, Abigail A.","contributorId":200404,"corporation":false,"usgs":false,"family":"Fraeman","given":"Abigail","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":853457,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Vasavada, Ashwin R.","contributorId":200409,"corporation":false,"usgs":false,"family":"Vasavada","given":"Ashwin","email":"","middleInitial":"R.","affiliations":[],"preferred":true,"id":853458,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Schieber, Juergen","contributorId":195303,"corporation":false,"usgs":false,"family":"Schieber","given":"Juergen","email":"","affiliations":[],"preferred":false,"id":853459,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Sutter, Brad","contributorId":261818,"corporation":false,"usgs":false,"family":"Sutter","given":"Brad","email":"","affiliations":[{"id":53022,"text":"Jacobs Technology","active":true,"usgs":false}],"preferred":false,"id":853460,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70237701,"text":"70237701 - 2022 - Hepatic gene expression profiling of American kestrels (Falco sparverius) exposed in ovo to three alternative brominated flame retardants","interactions":[],"lastModifiedDate":"2022-10-19T11:41:11.336979","indexId":"70237701","displayToPublicDate":"2022-09-12T06:38:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1026,"text":"Biology","active":true,"publicationSubtype":{"id":10}},"title":"Hepatic gene expression profiling of American kestrels (Falco sparverius) exposed in ovo to three alternative brominated flame retardants","docAbstract":"
A number of brominated flame retardants (BFRs) have been reported to interfere with the thyroid signaling pathway and cause oxidative stress in birds, yet the underlying shifts in gene expression associated with these effects remain poorly understood. In this study, we measured hepatic transcriptional responses of 31 genes in American kestrel (Falco sparverius) hatchlings following in ovo exposure to one of three high-volume alternative BFRs: 1,2-bis(2,4,6-tribromophenoxy) ethane (BTPBE), bis(2-ethylhexyl)-2,3,4,5-tetrabromophthalate (TBPH), or 2-ethylhexyl-2,3,4,5-tetrabromobenzoate (EHTBB). Hatchling kestrels exhibited shifts in the expression of genes related to oxidative stress (CYP, GSTA, SOD, and GPX1), thyroid hormone metabolism and transport (DIO1, DIO2, and TTR), lipid and protein metabolism (PPAR, HMGCR, FAB1, and LPL), and cytokine-mediated inflammation (TLR3, IL18, IRF7, STAT3, RACK1, and CEBPB). Male and female hatchlings differed in which genes were differentially expressed, as well as the direction of the effect (up- vs. downregulation). These results build upon our previous findings of increased oxidative stress and disrupted thyroid signaling pathway in the same hatchlings. Furthermore, our results indicate that inflammatory responses appear to occur in female hatchlings exposed to BTBPE and EHTBB in ovo. Gene expression analysis revealed multiple affected pathways, adding to the growing evidence that sublethal physiological effects are complex and are a concern for birds exposed to BTBPE, EHTBB, or TBPH in ovo. 
","language":"English","publisher":"MDPI","doi":"10.3390/biology11091341","usgsCitation":"Goodchild, C.G., Karouna-Renier, N., Braham, R.P., Henry, P.F., Letcher, R.J., and Fernie, K.J., 2022, Hepatic gene expression profiling of American kestrels (Falco sparverius) exposed in ovo to three alternative brominated flame retardants: Biology, v. 11, no. 9, 1341, 15 p., https://doi.org/10.3390/biology11091341.","productDescription":"1341, 15 p.","ipdsId":"IP-143491","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":446470,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/biology11091341","text":"Publisher Index Page"},{"id":435693,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ADSS8H","text":"USGS data release","linkHelpText":"Hepatic gene expression transcript counts in liver samples of American kestrels"},{"id":408528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodchild, Christopher G.","contributorId":298081,"corporation":false,"usgs":false,"family":"Goodchild","given":"Christopher","email":"","middleInitial":"G.","affiliations":[{"id":54572,"text":"University of Central Oklahoma","active":true,"usgs":false}],"preferred":false,"id":855066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":855067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braham, Ryan P. 0000-0002-2102-0989","orcid":"https://orcid.org/0000-0002-2102-0989","contributorId":197772,"corporation":false,"usgs":false,"family":"Braham","given":"Ryan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":855068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":855069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":855070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fernie, Kim J.","contributorId":211241,"corporation":false,"usgs":false,"family":"Fernie","given":"Kim","email":"","middleInitial":"J.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":855071,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262373,"text":"70262373 - 2022 - Atlantic spotted and bottlenose dolphin sympatric distribution in nearshore waters off Bimini, The Bahamas, 2003–2018","interactions":[],"lastModifiedDate":"2025-01-22T17:37:58.847686","indexId":"70262373","displayToPublicDate":"2022-09-12T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1185,"text":"Caribbean Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Atlantic spotted and bottlenose dolphin sympatric distribution in nearshore waters off Bimini, The Bahamas, 2003–2018","docAbstract":"

Within nearshore waters off Bimini, The Bahamas, Atlantic spotted (Stenella frontalis) and common bottlenose (Tursiops truncatus) dolphins are sympatric but separated spatially in different geographic areas and water depth ranges. Afternoon surveys during summer months across a 16-year period showed S. frontalis used the northern part of the nearshore area more, while T. truncatus used the southern area more. Generally, examination of geographic zones and water depth distributions of both species before and after construction of a pier in the study area suggested these dolphins were not impacted, long-term, by this anthropogenic activity. Still some differences in use of the nearshore area were identified. For water depth, S. frontalis varied use between 5–<12 m and 12–<20 m, depending on location along the coast. In contrast, T. truncatus consistently used the 5–<12 m depths. This difference may be related to how each species used the nearshore area, with T. truncatus feeding more and S. frontalis travelling and doing other activities. A small change in the distribution of S. frontalis by water depth off the northern coast of Bimini was found, specifically an increased use of deeper (12–20 m) water post 2014, which is unlikely an effect of pier construction as S. frontalis continued to use the 5–12 m depths as they had before pier construction. How this change might be related to an unprecedented 2013 S. frontalis immigration event, which might have disrupted the social structure, habitat/resource use, and distribution of both species, is discussed.

","language":"English","publisher":"BioOne","doi":"10.18475/cjos.v52i2.a3","usgsCitation":"Levengood, A., Melillo-Sweeting, K., Ribic, C., Beck, A., and Dudzinski, K., 2022, Atlantic spotted and bottlenose dolphin sympatric distribution in nearshore waters off Bimini, The Bahamas, 2003–2018: Caribbean Journal of Science, v. 52, no. 2, p. 162-176, https://doi.org/10.18475/cjos.v52i2.a3.","productDescription":"15 p.","startPage":"162","endPage":"176","ipdsId":"IP-136851","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"The Bahamas","otherGeospatial":"Bimini","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.37704714400411,\n 25.826924686024014\n ],\n [\n -79.37704714400411,\n 25.649096003650968\n ],\n [\n -79.1858998236686,\n 25.649096003650968\n ],\n [\n -79.1858998236686,\n 25.826924686024014\n ],\n [\n -79.37704714400411,\n 25.826924686024014\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Levengood, Alexis L.","contributorId":349054,"corporation":false,"usgs":false,"family":"Levengood","given":"Alexis L.","affiliations":[{"id":82938,"text":"University of the Sunshine Coast","active":true,"usgs":false}],"preferred":false,"id":923960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melillo-Sweeting, Kelly","contributorId":349055,"corporation":false,"usgs":false,"family":"Melillo-Sweeting","given":"Kelly","affiliations":[{"id":56353,"text":"Dolphin Communication Project","active":true,"usgs":false}],"preferred":false,"id":923961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beck, Albert J.","contributorId":349056,"corporation":false,"usgs":false,"family":"Beck","given":"Albert J.","affiliations":[{"id":83418,"text":"Wisconsin Cooperative Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":923963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dudzinski, Kathleen M.","contributorId":349057,"corporation":false,"usgs":false,"family":"Dudzinski","given":"Kathleen M.","affiliations":[{"id":56353,"text":"Dolphin Communication Project","active":true,"usgs":false}],"preferred":false,"id":923964,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70243031,"text":"70243031 - 2022 - Climate matching with the climatchR R package","interactions":[],"lastModifiedDate":"2023-04-27T12:13:41.49622","indexId":"70243031","displayToPublicDate":"2022-09-11T07:11:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14260,"text":"Environmental Software & Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Climate matching with the climatchR R package","docAbstract":"

Climate matching allows comparisons of climatic conditions between different locations to understand location and species range climatic suitability. The approach may be used as part of horizon scanning exercises such as those conducted for invasive species. We implemented the CLIMATCH algorithm into an R package, climatchR. The package allows automated and scripted climate matching exercises across all steps from downloading data to summarizing species climate matches. We also show how climatchR may be used with high-throughput computing to process many species. For example, we were able to calculate climate scores for over 8,000 species in less than 3 days using this package. This automation allows high-throughput processing of species data, a new development for improving the efficiency and speed of climate matching and horizon scanning.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2022.105510","usgsCitation":"Erickson, R.A., Engelstad, P.S., Jarnevich, C.S., Sofaer, H., and Daniel, W., 2022, Climate matching with the climatchR R package: Environmental Software & Modeling, v. 157, 105510, 7 p., https://doi.org/10.1016/j.envsoft.2022.105510.","productDescription":"105510, 7 p.","ipdsId":"IP-135680","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":435695,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ILPPTC","text":"USGS data release","linkHelpText":"climatchR: An implementation of CLIMATCH in R. v2.0"},{"id":435694,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q28JVU","text":"USGS data release","linkHelpText":"climatchR: An implementation of Climatch in R"},{"id":416434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"157","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":870742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engelstad, Peder S","contributorId":304502,"corporation":false,"usgs":false,"family":"Engelstad","given":"Peder","email":"","middleInitial":"S","affiliations":[{"id":7230,"text":"Natural Resource Ecology Laboratory, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":870743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":870744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":870745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219320,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":870746,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236925,"text":"70236925 - 2022 - The influence of satellite-derived environmental and oceanographic parameters on marine turtle time at surface in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2023-06-08T14:53:45.645206","indexId":"70236925","displayToPublicDate":"2022-09-11T06:39:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The influence of satellite-derived environmental and oceanographic parameters on marine turtle time at surface in the Gulf of Mexico","docAbstract":"
The aftermath of the 2010 Deepwater Horizon oil spill highlighted the lack of baseline spatial, behavioral, and abundance data for many species, including imperiled marine turtles, across the Gulf of Mexico. The ecology of marine turtles is closely tied to their vertical movements within the water column and is therefore critical knowledge for resource management in a changing ocean. A more comprehensive understanding of diving behavior, specifically surface intervals, can improve the accuracy of density and abundance estimates by mitigating availability bias. Here, we focus on the proportion of time marine turtles spend at the top 2 m of the water column to coincide with depths where turtles are assumed visible to observers during aerial surveys. To better understand what environmental and oceanographic conditions influence time at surface, we analyzed dive and spatial data from 136 satellite tags attached to three species of threatened or endangered marine turtles across 10 years. We fit generalized additive models with 11 remotely sensed covariates, including sea surface temperature (SST), bathymetry, and salinity, to examine dive patterns. Additionally, the developed model is the first to explicitly examine the potential connection between turtle dive patterns and ocean frontal zones in the Gulf of Mexico. Our results show species-specific associations of environmental covariates related to increased time at surface, particularly for depth, salinity, and frontal features. We define seasonal and spatial variation in time-at-surface patterns in an effort to contribute to marine turtle density and abundance estimates. These estimates could then be utilized to generate correction factors for turtle detection availability during aerial surveys.
","language":"English","publisher":"MDPI","doi":"10.3390/rs14184534","usgsCitation":"Roberts, K.E., Garrison, L.P., Ortega-Ortiz, J.G., Hu, C., Zhang, Y., Sasso, C.R., Lamont, M., and Hart, K., 2022, The influence of satellite-derived environmental and oceanographic parameters on marine turtle time at surface in the Gulf of Mexico: Remote Sensing, v. 14, no. 18, 4534, 17 p.; Data Release, https://doi.org/10.3390/rs14184534.","productDescription":"4534, 17 p.; Data Release","ipdsId":"IP-141428","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":446475,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs14184534","text":"Publisher Index Page"},{"id":407207,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417826,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92MDH2H"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.42578124999999,\n 24.5271348225978\n ],\n [\n -80.33203125,\n 24.5271348225978\n ],\n [\n -80.33203125,\n 32.84267363195431\n ],\n [\n -101.42578124999999,\n 32.84267363195431\n ],\n [\n -101.42578124999999,\n 24.5271348225978\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"18","noUsgsAuthors":false,"publicationDate":"2022-09-11","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":852714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrison, Lance P.","contributorId":296893,"corporation":false,"usgs":false,"family":"Garrison","given":"Lance","email":"","middleInitial":"P.","affiliations":[{"id":64230,"text":"NOAA-NMFS Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":852715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ortega-Ortiz, Joel G.","contributorId":149521,"corporation":false,"usgs":false,"family":"Ortega-Ortiz","given":"Joel","email":"","middleInitial":"G.","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":852716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hu, Chuanmin","contributorId":177055,"corporation":false,"usgs":false,"family":"Hu","given":"Chuanmin","email":"","affiliations":[],"preferred":false,"id":852717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Yingjun","contributorId":296895,"corporation":false,"usgs":false,"family":"Zhang","given":"Yingjun","email":"","affiliations":[{"id":39269,"text":"USF College of Marine Science","active":true,"usgs":false}],"preferred":false,"id":852718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sasso, Christopher R.","contributorId":296894,"corporation":false,"usgs":false,"family":"Sasso","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":64230,"text":"NOAA-NMFS Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":852719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206817,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":852720,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":852721,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}