{"pageNumber":"448","pageRowStart":"11175","pageSize":"25","recordCount":165459,"records":[{"id":70229190,"text":"70229190 - 2021 - Honey bee foraged pollen reveals temporal changes in pollen protein content and changes in forager choice for abundant versus high protein flowers","interactions":[],"lastModifiedDate":"2022-03-02T13:13:23.833928","indexId":"70229190","displayToPublicDate":"2021-09-17T07:10:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10144,"text":"Agriculture, Ecosystems, and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Honey bee foraged pollen reveals temporal changes in pollen protein content and changes in forager choice for abundant versus high protein flowers","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><p id=\"sp0035\"><span>Protein derived from pollen is an essential component of healthy bee diets. Protein content in&nbsp;honey bee&nbsp;foraged-pollen varies temporally and spatially, but the drivers underlying this variation remain poorly characterized. We assessed the temporal and spatial variation in honey bee collected pollen in 12 Michigan&nbsp;apiaries&nbsp;over 3 summers (2015–2017). We simultaneously monitored forage in&nbsp;flowering&nbsp;habitats (uncultivated floristically-rich areas and conservation program land) near these apiaries throughout the growing season. We used these data, along with data from the literature on plant&nbsp;pollen protein&nbsp;content, to determine if honey bees collected a greater proportion of pollen from plant species growing in higher abundance or from plant species that have higher protein content. Protein content in honey bee collected pollen decreased from July to September every year, and there were among-year differences in pollen protein, highlighting the temporal variation in protein collected by these insects. Pollen protein was spatially consistent and broad-scale land use categories were not correlated with pollen protein content. Rather, our findings suggest flowering habitats found across land use categories can support honey bee foraging, which may confound broader land use effects. In early July and in early September, colonies collected a greater proportion of pollen from plants that grew in greater abundance in flowering habitats, but from late July through August, a greater proportion of pollen was collected from high-protein taxa, regardless of abundance. This suggests different factors may influence pollen forager decision-making throughout the season as colony needs and/or available forage communities change. Insights into the role of plant abundance and protein content on foraging could deepen our understanding of honey bee&nbsp;foraging behavior&nbsp;and help to inform&nbsp;</span>habitat restoration<span>&nbsp;</span>programs for improved honey bee nutrition outcomes.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2021.107645","usgsCitation":"Quinlan, G., Milbrath, M., Otto, C., Smart, A., Iwanowicz, D.D., Isaacs, R., and Cornman, R.S., 2021, Honey bee foraged pollen reveals temporal changes in pollen protein content and changes in forager choice for abundant versus high protein flowers: Agriculture, Ecosystems, and Environment, v. 322, 107645, 10 p., https://doi.org/10.1016/j.agee.2021.107645.","productDescription":"107645, 10 p.","ipdsId":"IP-126772","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":450795,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agee.2021.107645","text":"Publisher Index Page"},{"id":396646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.396484375,\n              42.032974332441405\n            ],\n            [\n              -84.759521484375,\n              42.032974332441405\n            ],\n            [\n              -84.759521484375,\n              43.24520272203356\n            ],\n            [\n              -86.396484375,\n              43.24520272203356\n            ],\n            [\n              -86.396484375,\n              42.032974332441405\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"322","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Quinlan, Gabriela","contributorId":287574,"corporation":false,"usgs":false,"family":"Quinlan","given":"Gabriela","email":"","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milbrath, Megan","contributorId":287575,"corporation":false,"usgs":false,"family":"Milbrath","given":"Megan","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":836900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smart, Autumn","contributorId":287583,"corporation":false,"usgs":false,"family":"Smart","given":"Autumn","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":836902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":287584,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":836903,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isaacs, Rufus","contributorId":287577,"corporation":false,"usgs":false,"family":"Isaacs","given":"Rufus","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":836904,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":836905,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70250006,"text":"70250006 - 2021 - High- and low-latitude forcings drive Atacama Desert rainfall variations over the past 16,000 years","interactions":[],"lastModifiedDate":"2023-11-12T13:10:15.117075","indexId":"70250006","displayToPublicDate":"2021-09-17T07:05:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"High- and low-latitude forcings drive Atacama Desert rainfall variations over the past 16,000 years","docAbstract":"<div>Late Quaternary precipitation dynamics in the central Andes have been linked to both high- and low-latitude atmospheric teleconnections. We use present-day relationships between fecal pellet diameters from ashy chinchilla rats (<i>Abrocoma cinerea</i>) and mean annual rainfall to reconstruct the timing and magnitude of pluvials (wet episodes) spanning the past 16,000 years in the Atacama Desert based on 81<span>&nbsp;</span><sup>14</sup>C-dated<span>&nbsp;</span><i>A. cinerea</i><span>&nbsp;</span>paleomiddens. A transient climate simulation shows that pluvials identified at 15.9 to 14.8, 13.0 to 8.6, and 8.1 to 7.6 ka B.P. can be linked to North Atlantic (high-latitude) forcing (e.g., Heinrich Stadial 1, Younger Dryas, and Bond cold events). Holocene pluvials at 5.0 to 4.6, 3.2 to 2.1, and 1.4 to 0.7 ka B.P. are not simulated, implying low-latitude internal variability forcing (i.e., ENSO regime shifts). These results help constrain future central Andean hydroclimatic variability and hold promise for reconstructing past climates from rodent middens in desert ecosystems worldwide.</div>","language":"English","publisher":"Science","doi":"10.1126/sciadv.abg1333","usgsCitation":"Gonzalez-Pinilla, F.J., Latorre, C.L., Rojas, M., Houston, J., Rocuant, M.I., Maldonado, A., Santoro, C., Quade, J., and Betancourt, J.L., 2021, High- and low-latitude forcings drive Atacama Desert rainfall variations over the past 16,000 years: Science Advances, v. 7, no. 38, eabg1333, 10 p., https://doi.org/10.1126/sciadv.abg1333.","productDescription":"eabg1333, 10 p.","ipdsId":"IP-120342","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":450797,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1126/sciadv.abg1333","text":"External Repository"},{"id":422514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.19630215060201,\n              -17.482067217629123\n            ],\n            [\n              -73.19630215060201,\n              -29.540369537651948\n            ],\n            [\n              -65.98927090060181,\n              -29.540369537651948\n            ],\n            [\n              -65.98927090060181,\n              -17.482067217629123\n            ],\n            [\n              -73.19630215060201,\n              -17.482067217629123\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","issue":"38","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gonzalez-Pinilla, Francisco J.","contributorId":331519,"corporation":false,"usgs":false,"family":"Gonzalez-Pinilla","given":"Francisco","email":"","middleInitial":"J.","affiliations":[{"id":79225,"text":"Pontificia Universidad Católica de Chile, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":887958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Latorre, Claudio L.","contributorId":331520,"corporation":false,"usgs":false,"family":"Latorre","given":"Claudio","email":"","middleInitial":"L.","affiliations":[{"id":79225,"text":"Pontificia Universidad Católica de Chile, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":887959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rojas, M.","contributorId":331521,"corporation":false,"usgs":false,"family":"Rojas","given":"M.","email":"","affiliations":[{"id":79227,"text":"Center for Climate and Resilience Research (CR)2 & Departamento de Geofísica, Universidad de Chile, Santiago, Chile.","active":true,"usgs":false}],"preferred":false,"id":887960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houston, J.","contributorId":331522,"corporation":false,"usgs":false,"family":"Houston","given":"J.","email":"","affiliations":[{"id":79228,"text":"Rocklea, Dorchester, DT2 9EN, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":887961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rocuant, M. Igancia","contributorId":331523,"corporation":false,"usgs":false,"family":"Rocuant","given":"M.","email":"","middleInitial":"Igancia","affiliations":[{"id":79230,"text":"Centro UC Desierto de Atacama & Departamento de Ecología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile.","active":true,"usgs":false}],"preferred":false,"id":887962,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maldonado, A.","contributorId":195883,"corporation":false,"usgs":false,"family":"Maldonado","given":"A.","email":"","affiliations":[],"preferred":false,"id":887963,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Santoro, Calogero","contributorId":331524,"corporation":false,"usgs":false,"family":"Santoro","given":"Calogero","email":"","affiliations":[{"id":79231,"text":"Instituto de Alta Investigación (IAI), Universidad de Tarapacá, Arica, Chile","active":true,"usgs":false}],"preferred":false,"id":887964,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Quade, Jay","contributorId":104197,"corporation":false,"usgs":true,"family":"Quade","given":"Jay","email":"","affiliations":[],"preferred":false,"id":887980,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":887965,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70225495,"text":"70225495 - 2021 - Time-fractional flow equations (t-FFEs) to upscale transient groundwater flow characterized by temporally non-darcian flow due to medium heterogeneity","interactions":[],"lastModifiedDate":"2021-11-16T15:52:35.903673","indexId":"70225495","displayToPublicDate":"2021-09-17T06:40:55","publicationYear":"2021","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":"Time-fractional flow equations (t-FFEs) to upscale transient groundwater flow characterized by temporally non-darcian flow due to medium heterogeneity","docAbstract":"<p>Upscaling groundwater flow is a fundamental challenge in hydrogeology. This study proposed time-fractional flow equations (t-FFEs) for upscaling long-term, transient groundwater flow and propagation of pressure heads in heterogeneous media. Monte Carlo simulations showed that, with increasing variance and correlation of the hydraulic conductivity (<i>K</i>), flow dynamics gradually deviated from Darcian flow and exhibit sub-diffusive, time-dependent evolution which can be separated into three major stages. At the early stage, the interconnected high-<i>K</i><span>&nbsp;</span>zones dominated flow, while at intermediate times, the transverse flow due to mixed high- and low-<i>K</i><span>&nbsp;</span>zones caused delayed rise of the piezometric head. At late times when flow in the relatively high-<i>K</i><span>&nbsp;</span>domains reached stability, cells with very low-<i>K</i><span>&nbsp;</span>continued to block the entry of water and generate “islands” with low piezometric head, significantly extending the temporal evolution of the piezometric head. The elongated water breakthrough curve cannot be quantified by the flow equation with an effective<span>&nbsp;</span><i>K</i>, the space-fractional flow equation, or the multi-rate mass transfer (MRMT) flow model with a few rates, motivating the development of t-FFEs assuming temporally non-Darcian flow. Model applications showed that both the early and intermediate stages of flow dynamics can be captured by a single-index t-FFE (whose index is the exponent of the power-law probability density function of the random operational time for water parcels), but the overall evolution of flow dynamics, especially the enhanced retention of flow at later times, required a distributed-order t-FFE with variable indexes for different flow phases that can dominate flow dynamics at different stages. Therefore, transient groundwater flow in aquifers with spatially stationary heterogeneity can be temporally non-Darcian and non-stationary, due to the time-sensitive, combined effects of interconnected high-<i>K</i><span>&nbsp;</span>channels and isolated low-<i>K</i><span>&nbsp;</span>deposits on flow dynamics (which is the hydrogeological mechanism for the temporally non-Darcian flow and sub-diffusive pressure propagation), whose long-term behavior can be quantified by multi-index stochastic models.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020WR029554","usgsCitation":"Xia, Y., Zhang, Y., Green, C., and Fogg, G., 2021, Time-fractional flow equations (t-FFEs) to upscale transient groundwater flow characterized by temporally non-darcian flow due to medium heterogeneity: Water Resources Research, v. 57, no. 11, e2020WR029554, 30 p., https://doi.org/10.1029/2020WR029554.","productDescription":"e2020WR029554, 30 p.","ipdsId":"IP-119835","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":450800,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/0pv0z4t0","text":"External Repository"},{"id":390598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xia, Yuan","contributorId":267790,"corporation":false,"usgs":false,"family":"Xia","given":"Yuan","email":"","affiliations":[{"id":55508,"text":"Guilin University of Technology","active":true,"usgs":false}],"preferred":false,"id":825278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Yong","contributorId":214040,"corporation":false,"usgs":false,"family":"Zhang","given":"Yong","email":"","affiliations":[{"id":16675,"text":"U Alabama","active":true,"usgs":false}],"preferred":false,"id":825279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":825280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fogg, Graham 0000-0003-0676-1911","orcid":"https://orcid.org/0000-0003-0676-1911","contributorId":267791,"corporation":false,"usgs":false,"family":"Fogg","given":"Graham","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":825281,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70226462,"text":"70226462 - 2021 - A new species of Helianthus (Asteracae) from Clark County, Nevada","interactions":[],"lastModifiedDate":"2021-11-18T12:39:36.836733","indexId":"70226462","displayToPublicDate":"2021-09-17T06:38:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2639,"text":"Madroño","active":true,"publicationSubtype":{"id":10}},"title":"A new species of Helianthus (Asteracae) from Clark County, Nevada","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p><i>Helianthus devernii</i><span>&nbsp;</span>T.M.Draper is described as a new endemic species from two small desert spring populations found within Red Rock Canyon National Conservation Area, Clark County, NV. Morphological data and nuclear ribosomal ITS marker data place it in section<span>&nbsp;</span><i>Ciliares</i><span>&nbsp;</span>series<span>&nbsp;</span><i>Pumili</i>. Furthermore, the molecular data allies it most closely to<span>&nbsp;</span><i>H. pumilus</i><span>&nbsp;</span>Nutt.<span>&nbsp;</span><i>Helianthus devernii</i><span>&nbsp;</span>differs from<span>&nbsp;</span><i>H. pumilus</i><span>&nbsp;</span>by its sessile one nerved opposite and alternate leaves, glabrous glaucous stems, and overall smaller heads. The two known populations of<span>&nbsp;</span><i>H. devernii</i><span>&nbsp;</span>of approximately 400 individuals occur near the Las Vegas Valley and are threatened by heavy recreational use and exotic plants and animals. A key to the species of<span>&nbsp;</span><i>Helianthus</i><span>&nbsp;</span>of Nevada is presented.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.3120/0024-9637-68.1.52","usgsCitation":"Draper, T.M., and Esque, T., 2021, A new species of Helianthus (Asteracae) from Clark County, Nevada: Madroño, v. 68, no. 1, p. 52-56, https://doi.org/10.3120/0024-9637-68.1.52.","productDescription":"5 p.","startPage":"52","endPage":"56","ipdsId":"IP-124745","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":391852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","county":"Clark 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Trent M","contributorId":269391,"corporation":false,"usgs":false,"family":"Draper","given":"Trent","email":"","middleInitial":"M","affiliations":[{"id":55968,"text":"Roy, Utah","active":true,"usgs":false}],"preferred":false,"id":826998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":826999,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70224196,"text":"sir20215070 - 2021 - Estimating invertebrate response to changes in total nitrogen, total phosphorus, and specific conductance at sites where invertebrate data are unavailable","interactions":[],"lastModifiedDate":"2021-09-16T16:17:28.171074","indexId":"sir20215070","displayToPublicDate":"2021-09-16T09:50:00","publicationYear":"2021","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":"2021-5070","displayTitle":"Estimating Invertebrate Response to Changes in Total Nitrogen, Total Phosphorus, and Specific Conductance at Sites Where Invertebrate Data are Unavailable","title":"Estimating invertebrate response to changes in total nitrogen, total phosphorus, and specific conductance at sites where invertebrate data are unavailable","docAbstract":"<p>The purpose of this report is to describe a possible approach to estimate changes in invertebrate taxa richness at sites with known water-quality trends but no invertebrate data. In this study, data from 1,322 sites were used to describe invertebrate response to changes in total nitrogen, total phosphorus, or specific conductance, and to estimate changes in invertebrate taxa richness at 259 sites with reported water-quality trends but no invertebrate data. Sites were stratified using propensity score analysis to control for confounding factors (for example, climate, land use, land cover). Generalized linear models were developed to describe changes in invertebrate taxa richness along gradients of total nitrogen, total phosphorus, and specific conductance values. The magnitude and direction of invertebrate response to gradients of water quality varied among parameters and strata, with changes in invertebrate taxa richness per natural log unit change in concentration ranging from –7 to +6. However, estimated changes in invertebrate taxa richness at sites with known water-quality trends were much less and did not exceed three taxa until changes in concentration were greater than 50 percent. Applying this approach provides (1) a first screening to identify where changes in invertebrate taxa richness are likely to occur and (2) the necessary groundwork to improve estimation of invertebrate response to trends in water quality where biological data are lacking.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20215070","usgsCitation":"Zuellig, R.E., and Carlisle, D.M., 2021, Estimating invertebrate response to changes in total nitrogen, total phosphorus, and specific conductance at sites where invertebrate data are unavailable: U.S. Geological Survey Scientific Investigations Report 2021–5070, 24 p., https://doi.org/10.3133/sir20215070.","productDescription":"Report: v, 24 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-119660","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":389267,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SMFACO","text":"USGS data release","linkHelpText":"Datasets for estimating invertebrate response to changes in total nitrogen, total phosphorus, and specific conductance at sites where invertebrate data are unavailable"},{"id":389266,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5070/sir20215070.pdf","text":"Report","size":"5.06 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5070"},{"id":389265,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5070/coverthb.jpg"}],"contact":"<p>Director, <a href=\"http://www.usgs.gov/centers/co-water/\" data-mce-href=\"http://www.usgs.gov/centers/co-water/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Study Methods</li><li>Effectiveness of Propensity Score-Based Stratification</li><li>Modeling Invertebrate Response to Total Nitrogen, Total Phosphorus, and Specific Conductance</li><li>Estimated Changes in Invertebrate Richness at Sites with Known Trends in Water Quality</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Covariate Definitions and Data Characteristics for each Propensity Score-Based Stratum</li><li>Appendix 2. Graphical Representation of Invertebrate Response to Total Nitrogen, Total Phosphorus, and Specific Conductance</li></ul>","publishedDate":"2021-09-16","noUsgsAuthors":false,"publicationDate":"2021-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":223188,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":823308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70240159,"text":"70240159 - 2021 - Waterborne gradient Self-Potential (WaSP) logging in the Rio Grande to map localized and regional surface and groundwater exchanges across the Mesilla Valley","interactions":[],"lastModifiedDate":"2023-01-31T15:30:33.818125","indexId":"70240159","displayToPublicDate":"2021-09-16T09:24:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7446,"text":"FastTIMES","active":true,"publicationSubtype":{"id":10}},"title":"Waterborne gradient Self-Potential (WaSP) logging in the Rio Grande to map localized and regional surface and groundwater exchanges across the Mesilla Valley","docAbstract":"<p><span>The Rio Grande is the primary source of recharge to the Mesilla Basin/Conejos-Médanos aquifer system (“Mesilla Basin aquifer system”) in the Mesilla Valley of New Mexico and Texas. The Mesilla Basin aquifer system is the primary source of water supply to several large cities along the United States–Mexico border. Identifying gaining and losing reaches of the Rio Grande in the Mesilla Valley is therefore critical for managing the quality and quantity of surface and groundwater-resources available to stakeholders in the Mesilla Valley and downstream. A Waterborne gradient</span><strong><span>&nbsp;</span></strong><span>Self-Potential (WaSP) logging survey was completed in the Rio Grande across the Mesilla Valley between June 26 and July 2, 2020 to identify reaches where surface-water gains and losses were occurring by interpreting an estimate of the streaming-potential component of the electrostatic field in the river, measured during bank-full flow. The WaSP survey, completed as part of the Transboundary Aquifer Assessment Program, began at Leasburg Dam State Park, New Mexico near the northern terminus of the Mesilla Valley and ended ~72 kilometers (km) downstream in Canutillo, Texas. Electric potential data indicated a net losing condition for ~32 km between Leasburg Dam and Mesilla Diversion Dam in New Mexico, with one 200-m long reach showing a localized gaining condition. Downstream from Mesilla Diversion Dam, electric-potential data indicated a neutral-to-mild gaining condition for 12-km that transitioned to a mild-to-moderate gaining condition between 12 and ~22 km from the dam before transitioning back to a losing condition along the remaining 18 km of the survey reach. The interpreted gaining and losing reaches are substantiated by potentiometric surface mapping in hydrostratigraphic units of the Mesilla Basin aquifer system between 2010 and 2011 and streamflow gains and losses quantified from annual streamflow gaging at 16 stations along the survey reach between 1988 and 1998 and between 2004 and 2013. The gaining and losing reaches of the Rio Grande in the Mesilla Valley, interpreted from electric potential data, compare notably well with streamflow gains and losses quantified at 16 locations along the 72-km long survey reach.</span></p>","language":"English","publisher":"Environmental and Engineering Geophysical Society","usgsCitation":"Ikard, S., and Teeple, A., 2021, Waterborne gradient Self-Potential (WaSP) logging in the Rio Grande to map localized and regional surface and groundwater exchanges across the Mesilla Valley: FastTIMES, v. 26, no. 3, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-132631","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":412505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":412478,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fasttimesonline.co/waterborne-gradient-self-potential-wasp-logging-in-the-rio-grande-to-map-localized-and-regional-surface-and-groundwater-exchanges-across-the-mesilla-valley/"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Mesilla Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.44524373222445,\n              31.760633532310962\n            ],\n            [\n              -106.6117012652096,\n              32.435777766328556\n            ],\n            [\n              -106.97488133717744,\n              32.96635814299131\n            ],\n            [\n              -107.04549968450479,\n              33.44327742390567\n            ],\n            [\n              -107.58018145712424,\n              33.388542989837234\n            ],\n            [\n              -107.50956310979689,\n              32.79267559856237\n            ],\n            [\n              -107.07576469050201,\n              32.350592719244176\n            ],\n            [\n              -106.67223127720436,\n              31.854939592806915\n            ],\n            [\n              -106.4502878998906,\n              31.709153308763334\n            ],\n            [\n              -106.44524373222445,\n              31.760633532310962\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":201775,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew 0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":193061,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862806,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70232911,"text":"70232911 - 2021 - Does earthquake stress drop increase with depth in the crust?","interactions":[],"lastModifiedDate":"2022-07-13T11:44:36.452937","indexId":"70232911","displayToPublicDate":"2021-09-16T06:40:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Does earthquake stress drop increase with depth in the crust?","docAbstract":"<div class=\"article-section__content en main\"><p>We combine earthquake spectra from multiple studies to investigate whether the increase in stress drop with depth often observed in the crust is real, or an artifact of decreasing attenuation (increasing<span>&nbsp;</span><i>Q</i>) with depth. In many studies, empirical path and attenuation corrections are assumed to be independent of the earthquake source depth. We test this assumption by investigating whether a realistic increase in<span>&nbsp;</span><i>Q</i><span>&nbsp;</span>with depth (as is widely observed) could remove some of the observed apparent increase in stress drop with depth. We combine event spectra, previously obtained using spectral decomposition methods, for over 50,000 earthquakes (M0 to M5) from 12 studies in California, Nevada, Kansas and Oklahoma. We find that the relative high-frequency content of the spectra systematically increases with increasing earthquake depth, at all magnitudes. By analyzing spectral ratios between large and small events as a function of source depth, we explore the relative importance of source and attenuation contributions to this observed depth dependence. Without any correction for depth-dependent attenuation, we find a systematic increase in stress drop, rupture velocity, or both, with depth, as previously observed. When we add an empirical, depth-dependent attenuation correction, the depth dependence of stress drop systematically decreases, often becoming negligible. The largest corrections are observed in regions with the largest seismic velocity increase with depth. We conclude that source parameter analyses, whether in the frequency or time domains, should not assume path terms are independent of source depth, and should more explicitly consider the effects of depth-dependent attenuation.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JB022314","usgsCitation":"Abercrombie, R., Trugman, D.T., Shearer, P.M., Chen, X., Zhang, J., Pennington, C.N., Hardebeck, J.L., Goebel, T.H., and Ruhl, C.J., 2021, Does earthquake stress drop increase with depth in the crust?: Journal of Geophysical Research, v. 126, no. 10, e2021JB022314, 22 p., https://doi.org/10.1029/2021JB022314.","productDescription":"e2021JB022314, 22 p.","ipdsId":"IP-129396","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":403587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":846471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trugman, Daniel T.","contributorId":197011,"corporation":false,"usgs":false,"family":"Trugman","given":"Daniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":846472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shearer, Peter M.","contributorId":197012,"corporation":false,"usgs":false,"family":"Shearer","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":846473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Xiaowei","contributorId":293132,"corporation":false,"usgs":false,"family":"Chen","given":"Xiaowei","email":"","affiliations":[{"id":48773,"text":"University of Oklahoma, Norman, Oklahoma","active":true,"usgs":false}],"preferred":false,"id":846474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Jiewen","contributorId":293133,"corporation":false,"usgs":false,"family":"Zhang","given":"Jiewen","email":"","affiliations":[{"id":48773,"text":"University of Oklahoma, Norman, Oklahoma","active":true,"usgs":false}],"preferred":false,"id":846475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pennington, Colin Nathanael 0000-0002-1474-9368","orcid":"https://orcid.org/0000-0002-1474-9368","contributorId":293134,"corporation":false,"usgs":true,"family":"Pennington","given":"Colin","email":"","middleInitial":"Nathanael","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":846476,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":254964,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":846477,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goebel, Thomas H W","contributorId":293136,"corporation":false,"usgs":false,"family":"Goebel","given":"Thomas","email":"","middleInitial":"H W","affiliations":[{"id":63233,"text":"Center for Earthquake Research and Information, University of Memphis","active":true,"usgs":false}],"preferred":false,"id":846478,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruhl, Christine J","contributorId":293138,"corporation":false,"usgs":false,"family":"Ruhl","given":"Christine","email":"","middleInitial":"J","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":846479,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70255559,"text":"70255559 - 2021 - Monthly river temperature trends across the US confound annual changes","interactions":[],"lastModifiedDate":"2024-06-24T11:20:26.360545","indexId":"70255559","displayToPublicDate":"2021-09-16T06:06:47","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Monthly river temperature trends across the US confound annual changes","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Climate variations and human modifications of the water cycle continue to alter the Earth's surface water and energy exchanges. It is therefore critical to ascertain how these changes impact water quality and aquatic ecosystem habitat metrics such as river temperatures. Though river temperature trend analyses exist in the literature, studies on seasonal trends in river temperatures across large spatial extents, e.g. the contiguous United States (US), are limited. As we show through both annual and monthly trend analyses for 20 year (<i>n</i><span>&nbsp;</span>= 138 sites) and 40 year (<i>n</i><span>&nbsp;</span>= 40 sites) periods, annual temperature trends across the US mask extensive monthly variability. While most sites exhibited annual warming trends, these annual trends obscured sub-annual cooling trends at many sites. Monthly trend anomalies were spatially organized, with persistent regional patterns at both reference and human-impacted sites. The largest warming and cooling anomalies happened at human impacted sites and during summer months. Though our analysis points to coherence in trends as well as the overall impact of human activity in driving these patterns, we did not investigate the impact of river temperature observation accuracy on reported trends, an area needed for future work. Overall, these patterns emphasize the need to consider sub-annual behavior when managing the ecological impacts of river temperature throughout lotic networks.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac2289","usgsCitation":"Kelleher, C., Golden, H.E., and Archfield, S.A., 2021, Monthly river temperature trends across the US confound annual changes: Environmental Research Letters, v. 16, 104006, 10 p., https://doi.org/10.1088/1748-9326/ac2289.","productDescription":"104006, 10 p.","ipdsId":"IP-130039","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":450807,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac2289","text":"Publisher Index Page"},{"id":430440,"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              -129.57106419384183,\n              51.98412232384288\n            ],\n            [\n              -129.57106419384183,\n              24.426025005896022\n            ],\n            [\n              -65.41090794384175,\n              24.426025005896022\n            ],\n            [\n              -65.41090794384175,\n              51.98412232384288\n            ],\n            [\n              -129.57106419384183,\n              51.98412232384288\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2021-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kelleher, Christa","contributorId":242798,"corporation":false,"usgs":false,"family":"Kelleher","given":"Christa","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":904669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":904670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":904671,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70224252,"text":"ofr20211081 - 2021 - Kelp forest monitoring at Naval Base Ventura County, San Nicolas Island, California—Fall 2019, sixth annual repor","interactions":[],"lastModifiedDate":"2021-09-16T11:50:21.374636","indexId":"ofr20211081","displayToPublicDate":"2021-09-15T13:31:12","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1081","displayTitle":"Kelp Forest Monitoring at Naval Base Ventura County, San Nicolas Island, California: Fall 2019, Sixth Annual Report","title":"Kelp forest monitoring at Naval Base Ventura County, San Nicolas Island, California—Fall 2019, sixth annual repor","docAbstract":"<p>The U.S. Geological Survey conducts ecological monitoring of rocky subtidal communities at four permanent sites around San Nicolas Island. The sites—Nav Fac 100, West End, Dutch Harbor, and Daytona 100—were based on ones that had been monitored since 1980 by the U.S. Geological Survey and, in cooperation with the U.S. Navy, were combined or expanded in 2014 for better comparability with monitoring programs conducted at the other California Channel Islands. At the sites, we counted a suite of kelps and invertebrates on benthic band transects, measured bottom cover of algae and sessile invertebrate species in quadrats, and counted and sized fish on swimming transects. Holdfast diameter and number of stipes of giant kelp (<i>Macrocystis pyrifera</i>) were recorded on these transects and size data were collected for urchins, sea stars, and shelled mollusks. Bottom temperatures were recorded at hourly intervals by archival data loggers that were deployed at the sites. Typically, this monitoring work is conducted semi-annually, in fall and spring. Because the spring 2020 trip was cancelled due to the Coronavirus Disease 2019 pandemic, this report focuses primarily on data collected in fall 2019 and makes comparisons with data collected in previous years, beginning in fall 2014.</p><p>The sites are distributed around the island and differ in their physical and ecological characteristics. Nav Fac 100, situated on the north side of San Nicolas Island, has a relatively low benthic profile. The invasive brown alga <i>Sargassum horneri</i> was first observed at this site in 2015. West End, to the southwest of the island, also lacks much bottom relief but has more crevice habitat associated with boulders. For almost three decades, West End has been a focal point for the small, but growing, population of southern sea otters (<i>Enhydra lutris nereis</i>) at the island. Dutch Harbor, on the south side, has many high relief rocky reefs and had the greatest fish and non-motile invertebrate densities. Daytona 100, on the southeast side, has moderate relief and has remained a patchwork of kelp and sea urchin dominated areas.</p><p>There were no major changes at the sites since spring 2019, but some trends observed during the last few years continued whereas others changed. Red urchins continued a declining trend (observed during the last 4 years) at Daytona 100. The wavy turban snail (<i>Megastraea undosa</i>) began to increase rapidly at Nav Fav 100 in 2015 and has subsequently been increasing at the other sites as well, after more than a decade of very low numbers at all sites. Sea star wasting syndrome, which has devastated multiple species of sea stars along the Pacific coast of North America, affected most species at San Nicolas Island in the year prior to the fall 2014 sampling. Since then, there has been a reduction in the number of bat stars (<i>Patiria miniata</i>), and very few sea stars of other species have been observed. There has been a slight recovery of <i>P. miniata</i> since 2016 but little sign of change in other species. All the sites had a slight decline in the densities of purple urchins following an increase during the previous 2 years. Long-term data are presented to illustrate trends and changes during almost four decades of monitoring this dynamic system.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211081","collaboration":"Prepared in cooperation with the U.S. Navy","programNote":"Wildlife Program","usgsCitation":"Kenner, M.C., and Tomoleoni, J., 2021, Kelp forest monitoring at Naval Base Ventura County, San Nicolas Island, California—Fall 2019, sixth annual report: U.S. Geological Survey Open-File Report 2021–1081, 97 p., https://doi.org/10.3133/ofr20211081.","productDescription":"ix, 97 p.","numberOfPages":"97","onlineOnly":"Y","ipdsId":"IP-128532","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":389297,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1081/covrthb.jpg"},{"id":389298,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1081/ofr20211081.pdf","text":"Report","size":"16 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":389299,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1081/ofr20211081.xml"},{"id":389300,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1081/images"}],"country":"California","otherGeospatial":"Naval Base Ventura County, San Nicolas Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.59304809570312,\n              33.20824398778792\n            ],\n            [\n              -119.42138671875,\n              33.20824398778792\n            ],\n            [\n              -119.42138671875,\n              33.29724715520414\n            ],\n            [\n              -119.59304809570312,\n              33.29724715520414\n            ],\n            [\n              -119.59304809570312,\n              33.20824398778792\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director,<br><a href=\"https://www.usgs.gov/%20centers/%20werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/ centers/ werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Methods&nbsp;&nbsp;</li><li>Supersite Descriptions&nbsp;&nbsp;</li><li>Results&nbsp;&nbsp;</li><li>Conclusions and Management Considerations&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix 1. Sampling History</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2021-09-15","noUsgsAuthors":false,"publicationDate":"2021-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kenner, Michael C. 0000-0003-4659-461X","orcid":"https://orcid.org/0000-0003-4659-461X","contributorId":208151,"corporation":false,"usgs":true,"family":"Kenner","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":823359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tomoleoni, Joseph A. 0000-0001-6980-251X jtomoleoni@usgs.gov","orcid":"https://orcid.org/0000-0001-6980-251X","contributorId":167551,"corporation":false,"usgs":true,"family":"Tomoleoni","given":"Joseph","email":"jtomoleoni@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":823360,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223926,"text":"sir20215091 - 2021 - Evaluation of hydrologic simulation models for fields with subsurface drainage to mitigated wetlands in Barnes, Dickey, and Sargent Counties, North Dakota","interactions":[],"lastModifiedDate":"2021-09-16T11:37:37.283212","indexId":"sir20215091","displayToPublicDate":"2021-09-15T08:47:15","publicationYear":"2021","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":"2021-5091","displayTitle":"Evaluation of Hydrologic Simulation Models for Fields with Subsurface Drainage to Mitigated Wetlands in Barnes, Dickey, and Sargent Counties, North Dakota","title":"Evaluation of hydrologic simulation models for fields with subsurface drainage to mitigated wetlands in Barnes, Dickey, and Sargent Counties, North Dakota","docAbstract":"<p>Proper identification of wetlands, along with a better understanding of the hydrology of mitigated wetlands, is needed to assist with conservation efforts aimed at maintaining the productivity and ecological function (wetland mitigation) of agricultural lands. The U.S. Geological Survey, in cooperation with the U.S. Department of Agriculture Natural Resources Conservation Service, completed a study to evaluate two models for simulating hydrologic conditions in fields with subsurface drainage to mitigated wetlands at several sites in North Dakota. These two models were evaluated as possible tools for water resource managers to use for designing wetland mitigation projects in the area in the future.</p><p>The Soil-Plant-Atmosphere-Water (SPAW) model simulates the daily hydrologic water budgets of agricultural landscapes by two linked routines, one for farm fields (field hydrology) and one for impoundments such as wetlands and ponds (pond model). The DRAINMOD model was used in conjunction with the SPAW model because although the SPAW model can be used to simulate the hydrology of small drainage basins containing wetlands, the SPAW model does not contain routines to simulate drainage, either subsurface drainage or surface (drainage ditches), that can directly affect the wetland hydrology. The wetlands in the study areas in this report are all downstream from and adjacent to drained agricultural fields. SPAW and DRAINMOD models were developed and calibrated at three study areas (study areas B, D, and S) to evaluate how the models simulated field-scale hydrologic characteristics and the water balance in wetlands from January 1, 2003, through December 31, 2018.</p><p>The SPAW model developed for study area B included five modeled fields in the field hydrology portion of SPAW that contributed inflow to one wetland simulated in the pond model portion of SPAW. Simulated wetland water depths were most similar to water depths measured at site BWET1, with an absolute mean error of 0.10 foot and a root mean square error of 0.14 foot. Site BWET2 had slightly larger errors, with an absolute mean error of 0.22 foot and a root mean square error of 0.28 foot. Simulated water depths were similar to the pattern of measured water depths at BWET1 and BWET2 from about mid-April 2018 through about mid-September 2018, but overpredicted water depths in the fall from about mid-September 2018 through about mid-October 2018.</p><p>The SPAW model developed for study area D included six modeled fields in the field hydrology portion of SPAW that contributed inflow to five wetlands connected in series in the pond model portion of SPAW. Simulated water depths compared relatively well to water depths in the five wetlands, with the absolute mean error ranging from 0.17 foot (DWET1) to 0.39 foot (DWET2), and the root mean square error ranging from 0.28 foot (DWET1) to 0.56 foot (DWET5).</p><p>The SPAW model developed for study area S included one modeled field in the field hydrology portion of SPAW that contributed inflow to one wetland in the pond model portion of SPAW. Among the SPAW models developed for the three study areas, the model for study area S had the best comparison between simulated and measured water depths, with an absolute mean error of 0.06 foot and a root mean square error of 0.10 foot.</p><p>DRAINMOD models were developed and calibrated at the three study areas and provided inflow from subsurface drainage discharge to the SPAW models for simulating water levels in wetlands in the study areas. The calibrated DRAINMOD model for study area B showed the variability of hydrologic processes in the modeled field throughout the wide range of hydrologic conditions from January 1, 2003, through December 31, 2018. In general, the discharge through the modeled subsurface drainage system was in the spring and early summer (April through June) most years, with little to no discharge later in the year. Although the subsurface drainage system in study area D was the most complex among the three study areas and was simplified into a uniform system within DRAINMOD, simulated water table depths at study area D correlated better to measured water table depths compared to results from the model applications at the other two study areas. Simulated water table depths had an absolute mean error of 0.30 foot and root mean square error of 0.37 foot at site DGW1 and an absolute mean error of 0.29 foot and a root mean square error of 0.34 foot at site DGW2. Although the subsurface drainage system in study area S was the simplest and the modeled field was the smallest among the three study areas, simulated water table depths at study area S did not correlate as well to measured water table depths compared to results from the model applications at the other two study areas.</p><p>The SPAW and DRAINMOD model applications at the three study areas in southeast North Dakota adequately simulated the hydrologic processes for fields with subsurface drainage that are connected to adjacent wetlands. However, more measured data would be needed to fully evaluate the models throughout the range of possible climatic conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215091","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Natural Resources Conservation Service","usgsCitation":"Galloway, J.M., Tatge, W.S., and Wheeling, S.L., 2021, Evaluation of hydrologic simulation models for fields with subsurface drainage to mitigated wetlands in Barnes, Dickey, and Sargent Counties, North Dakota: U.S. Geological Survey Scientific Investigations Report 2021–5091, 58 p., https://doi.org/10.3133/sir20215091.","productDescription":"Report: vi, 58 p.; Dataset","numberOfPages":"68","onlineOnly":"Y","ipdsId":"IP-128613","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":389200,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5091/images"},{"id":389199,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5091/sir20215091.xml","size":"386 kB","linkFileType":{"id":8,"text":"xml"}},{"id":389198,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"},{"id":389196,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5091/coverthb.jpg"},{"id":389197,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5091/sir20215091.pdf","text":"Report","size":"5.04 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5091"}],"country":"United States","state":"North Dakota","county":"Barnes County, Dickey County, Sargent County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-97.961,47.241],[-97.7061,47.2402],[-97.7071,47.1529],[-97.7062,47.0665],[-97.7059,46.9792],[-97.6839,46.9792],[-97.683,46.6294],[-97.81,46.6297],[-97.9059,46.6293],[-97.9357,46.6294],[-98.0349,46.6293],[-98.1889,46.6297],[-98.2868,46.63],[-98.3152,46.63],[-98.4396,46.6296],[-98.4412,46.9789],[-98.4685,46.9788],[-98.4677,47.2402],[-97.9958,47.2411],[-97.9764,47.2412],[-97.961,47.241]]],[[[-98.0095,45.9355],[-98.164,45.9356],[-98.1849,45.9355],[-98.3472,45.9355],[-98.3537,45.9355],[-98.7267,45.9373],[-98.7273,45.9373],[-99.0021,45.9393],[-99.0054,45.9393],[-99.0073,46.0262],[-99.0061,46.1132],[-99.0054,46.2002],[-99.0049,46.2822],[-98.9154,46.2821],[-98.7878,46.2805],[-98.755,46.281],[-98.6622,46.2812],[-98.5359,46.2817],[-98.5024,46.2808],[-98.2859,46.2816],[-98.2524,46.2815],[-98.1616,46.2818],[-98.1314,46.2813],[-98.0366,46.2809],[-98.009,46.2814],[-97.9096,46.2823],[-97.8826,46.2827],[-97.5333,46.2819],[-97.4063,46.2823],[-97.2833,46.2822],[-97.2615,46.2822],[-97.2618,46.196],[-97.2603,45.9985],[-97.231,45.9951],[-97.2313,45.936],[-97.3576,45.936],[-97.3773,45.936],[-97.4826,45.9359],[-97.605,45.9356],[-97.755,45.9356],[-97.9775,45.9351],[-98.0017,45.9355],[-98.0095,45.9355]]]]},\"properties\":{\"name\":\"Barnes\",\"state\":\"ND\"}}]}","contact":"<p><a data-mce-href=\"mailto:%20dc_sd@usgs.gov\" href=\"mailto:%20dc_sd@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/dakota-water\" href=\"https://www.usgs.gov/centers/dakota-water\">Dakota Water Science Center</a> <br>U.S. Geological Survey<br>821 East Interstate Avenue<br>Bismarck, ND 58503 <br><br>1608 Mountain View Road<br>Rapid City, SD 57702</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Evaluation of Model Simulations Using SPAW</li><li>Evaluation of Model Simulations Using DRAINMOD</li><li>Implications</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Additional Model Parameters Used in SPAW Model Applications at Study Areas B, D, and S</li><li>Appendix 2. Additional Model Parameters Used in DRAINMOD Model Applications at Study Areas B, D, and S</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-09-15","noUsgsAuthors":false,"publicationDate":"2021-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tatge, Wyatt S. 0000-0003-4414-2492","orcid":"https://orcid.org/0000-0003-4414-2492","contributorId":239544,"corporation":false,"usgs":true,"family":"Tatge","given":"Wyatt","email":"","middleInitial":"S.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wheeling, Spencer L. 0000-0003-4411-6526","orcid":"https://orcid.org/0000-0003-4411-6526","contributorId":221899,"corporation":false,"usgs":true,"family":"Wheeling","given":"Spencer","email":"","middleInitial":"L.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823301,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70224581,"text":"70224581 - 2021 - Forest resistance to extended drought enhanced by prescribed fire in low elevation forests of the Sierra Nevada","interactions":[],"lastModifiedDate":"2021-09-29T13:34:40.402512","indexId":"70224581","displayToPublicDate":"2021-09-15T08:29:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Forest resistance to extended drought enhanced by prescribed fire in low elevation forests of the Sierra Nevada","docAbstract":"<p><span>Prescribed fire reduces fire hazards by removing dead and live fuels (small trees and shrubs). Reductions in forest density following prescribed fire treatments (often in concert with mechanical treatments) may also lessen competition so that residual trees might be more likely to survive when confronted with additional stressors, such as drought. The current evidence for these effects is mixed and additional study is needed. Previous work found increased tree survivorship in low elevation forests with a recent history of fire during the early years of an intense drought (2012 to 2014) in national parks in the southern Sierra Nevada. We extend these observations through additional years of intense drought and continuing elevated tree mortality through 2017 at Sequoia and Kings Canyon National Parks. Relative to unburned sites, we found that burned sites had lower stem density and had lower proportions of recently dead trees (for stems ≤47.5 cm dbh) that presumably died during the drought. Differences in recent tree mortality among burned and unburned sites held for both fir (white fir and red fir) and pine (sugar pine and ponderosa pine) species. Unlike earlier results, models of individual tree mortality probability supported an interaction between plot burn status and tree size, suggesting the effect of prescribed fire was limited to small trees. We consider differences with other recent results and discuss potential management implications including trade-offs between large tree mortality following prescribed fire and increased drought resistance.&nbsp;</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f12091248","usgsCitation":"van Mantgem, P., Caprio, A., Stephenson, N.L., and Das, A., 2021, Forest resistance to extended drought enhanced by prescribed fire in low elevation forests of the Sierra Nevada: Forests, v. 12, no. 9, 1248, 11 p., https://doi.org/10.3390/f12091248.","productDescription":"1248, 11 p.","ipdsId":"IP-129596","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":450811,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f12091248","text":"Publisher Index Page"},{"id":436200,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W1CKTF","text":"USGS data release","linkHelpText":"Forest Structure Data for Burned and Unburned Sites at Sequoia and Kings Canyon National Parks"},{"id":389949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park, Sequoia National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.30352783203125,\n              36.69485094156225\n            ],\n            [\n              -118.41888427734374,\n              37.03325468997236\n            ],\n            [\n              -118.69903564453124,\n              37.21939331752986\n            ],\n            [\n              -118.828125,\n              37.23907530202184\n            ],\n            [\n      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0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caprio, Anthony C.","contributorId":35863,"corporation":false,"usgs":false,"family":"Caprio","given":"Anthony C.","affiliations":[],"preferred":false,"id":824162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824164,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70232160,"text":"70232160 - 2021 - Fish response to successive clearcuts in a second-growth forest from the central Coast range of Oregon","interactions":[],"lastModifiedDate":"2022-06-09T13:42:26.457253","indexId":"70232160","displayToPublicDate":"2021-09-15T08:25:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Fish response to successive clearcuts in a second-growth forest from the central Coast range of Oregon","docAbstract":"<p>Research dating back to the 1950&nbsp;s has documented negative effects from harvesting of primeval forests on stream ecosystems of the Pacific Northwest. By the early 1990&nbsp;s, state and federal forest practice rules governing timber harvest were modified throughout North America to better protect&nbsp;aquatic habitats&nbsp;and biotic resources, principally salmonids. These rules inspired a generation of studies using a before-after-control-impact (BACI) design to document the capacity of contemporary timber harvest rules to protect salmonids in&nbsp;headwater&nbsp;streams of second-growth forests. One important unanswered question concerns the potential effects of successive clearcuts in second growth forests. Consequently, we used a paired&nbsp;watershed&nbsp;approach to evaluate the effects of two successive clearcut harvests in the Alsea Watershed, site of the seminal Alsea Watershed Study that was conducted from 1958 to 1973, on relative biomass, movement, survival, and distribution of coastal&nbsp;cutthroat trout&nbsp;(<i>Oncorhynchus clarkii clarkii</i>) and three physical habitat characteristics (pool area and depth, and water temperature). Although the total clearcut harvest encompassed 87% of the treatment catchment in six years, no negative effects of logging were detected for either age-1&nbsp;+&nbsp;coastal cutthroat trout or habitat variables. Comparisons between the harvested and reference catchments suggested the survival of coastal cutthroat trout (&gt;94&nbsp;mm fork length) and total catchment relative biomass of age-1+ (i.e., &gt; 80&nbsp;mm) exhibited similar patterns, increasing from the pre-logging period (2006–2009) through the Phase I post-logging period (2009–2014), and decreasing to levels observed in the pre-logging period during the Phase II post-logging period (2014–2017). Additionally, there was no evidence for differences in movement of coastal cutthroat trout related to the harvesting treatment. In terms of habitat variables, there was a relative increase in annual total pool area in the harvested catchment during the Phase II post-logging period, but there was no evidence the 7-day moving mean maximum stream temperature changed after the Phase I and Phase II harvests. Moreover, stream water temperatures never exceeded the criterion designed to protect core coldwater habitat for salmonids (16&nbsp;°C). As such, it is unlikely that cutthroat trout experienced thermal stress following either harvest. More generally, results from this and other recent studies suggest that forest practice rules developed in conjunction with current best management practices for logging in headwater catchments have substantially improved outcomes for stream biota relative to unregulated forest harvest, at least for short periods of time after logging (i.e., ≤ 8&nbsp;years).</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2021.119447","usgsCitation":"Bateman, D.S., Chelgren, N., Gresswell, R.E., Dunham, J.B., Hockman-Wert, D., Leer, D.W., and Bladon, K., 2021, Fish response to successive clearcuts in a second-growth forest from the central Coast range of Oregon: Forest Ecology and Management, v. 496, 119447, 15 p., https://doi.org/10.1016/j.foreco.2021.119447.","productDescription":"119447, 15 p.","ipdsId":"IP-130611","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":450813,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2021.119447","text":"Publisher Index Page"},{"id":401979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Alsea River Watershed, Drift Creek, Flynn Creek, Needle Branch","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.0143585205078,\n              44.38865427337759\n            ],\n            [\n              -123.79737854003905,\n              44.38865427337759\n            ],\n            [\n              -123.79737854003905,\n              44.524416083679924\n            ],\n            [\n              -124.0143585205078,\n              44.524416083679924\n            ],\n            [\n              -124.0143585205078,\n              44.38865427337759\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"496","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bateman, D. S.","contributorId":292361,"corporation":false,"usgs":false,"family":"Bateman","given":"D.","email":"","middleInitial":"S.","affiliations":[{"id":62882,"text":"Department of Forest Engineering, Resources, and Management, College of Forestry, Oregon State University, Corvallis, OR","active":true,"usgs":false}],"preferred":false,"id":844391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chelgren, Nathan 0000-0003-0944-9165 nchelgren@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-9165","contributorId":3134,"corporation":false,"usgs":true,"family":"Chelgren","given":"Nathan","email":"nchelgren@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":844392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":152031,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":844393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":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},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":844394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hockman-Wert, David 0000-0003-2436-6237 dhockman-wert@usgs.gov","orcid":"https://orcid.org/0000-0003-2436-6237","contributorId":3891,"corporation":false,"usgs":true,"family":"Hockman-Wert","given":"David","email":"dhockman-wert@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":844395,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leer, D. W.","contributorId":292363,"corporation":false,"usgs":false,"family":"Leer","given":"D.","email":"","middleInitial":"W.","affiliations":[{"id":62882,"text":"Department of Forest Engineering, Resources, and Management, College of Forestry, Oregon State University, Corvallis, OR","active":true,"usgs":false}],"preferred":false,"id":844396,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bladon, K. D.","contributorId":292364,"corporation":false,"usgs":false,"family":"Bladon","given":"K. D.","affiliations":[{"id":62882,"text":"Department of Forest Engineering, Resources, and Management, College of Forestry, Oregon State University, Corvallis, OR","active":true,"usgs":false}],"preferred":false,"id":844397,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70225168,"text":"70225168 - 2021 - A preliminary regional geomorphologic map in Utopia Planitia of the Tianwen-1 Zhurong Landing Region","interactions":[],"lastModifiedDate":"2021-10-15T13:02:36.681619","indexId":"70225168","displayToPublicDate":"2021-09-15T08:01:13","publicationYear":"2021","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":"A preliminary regional geomorphologic map in Utopia Planitia of the Tianwen-1 Zhurong Landing Region","docAbstract":"<div class=\"article-section__content en main\"><p>A geomorphologic map is an important step to understanding the geologic context and history of a site; here, we present an initial geomorphologic map for an area spanning 22°–26°N, 108°–112°E in the Utopia Planitia (UP) region on Mars. This site is of special interest because it contains the May 2021 landing site of the Zhurong rover from Tianwen-1. Utopia Planitia exhibits many lobate features that have been proposed to be lava or mud flows. Lander and rover data should help solve the scientific question concerning the origin of UP flows. We use our map to generate an initial stratigraphic framework of geomorphological features in order to help place future Zhurong data into the regional geologic context. Our mapping effort has detailed the distribution of three geomorphologic units and 11 types of surface features.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL094629","usgsCitation":"Mills, M., McEwen, A.S., and Okubo, C., 2021, A preliminary regional geomorphologic map in Utopia Planitia of the Tianwen-1 Zhurong Landing Region: Geophysical Research Letters, v. 48, no. 18, e2021GL094629, 10 p., https://doi.org/10.1029/2021GL094629.","productDescription":"e2021GL094629, 10 p.","ipdsId":"IP-130143","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":489129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gl094629","text":"Publisher Index Page"},{"id":390563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"18","noUsgsAuthors":false,"publicationDate":"2021-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Mills, Mackenzie M","contributorId":267770,"corporation":false,"usgs":false,"family":"Mills","given":"Mackenzie M","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":825233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":825234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":825235,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70224197,"text":"ofr20211088 - 2021 - Effect of the emergency drought barrier on the distribution, biomass, and grazing rate of the bivalves Corbicula fluminea and Potamocorbula amurensis, False River, California","interactions":[],"lastModifiedDate":"2021-09-16T11:44:14.037287","indexId":"ofr20211088","displayToPublicDate":"2021-09-15T07:48:53","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1088","displayTitle":"Effect of the Emergency Drought Barrier on the Distribution, Biomass, and Grazing Rate of the Bivalves <em>Corbicula fluminea</em> and <em>Potamocorbula amurensis</em>, False River, California","title":"Effect of the emergency drought barrier on the distribution, biomass, and grazing rate of the bivalves Corbicula fluminea and Potamocorbula amurensis, False River, California","docAbstract":"<h1>Executive Summary</h1><p class=\"p1\">Benthic samples were collected from the Sacramento–San Joaquin Delta of northern California to examine the effect of the changing hydrologic flow on the bivalves <i>Potamocorbula </i>and <i>Corbicula </i>before, during, and after the False River Barrier (hereafter, barrier) was in operation (May–November 2015). <i>Potamocorbula </i>moved upstream in the Sacramento River as the salinity intruded. Given the lower electrical conductivity of the San Joaquin River, <i>Potamocorbula </i>did not move as far upriver as it did in the Sacramento River. <i>Potamocorbula </i>recruits settled in the Sacramento and False Rivers, whereas <i>Corbicula </i>recruits were mostly found in the San Joaquin River. When the grazing rates for the two bivalves were combined, new populations of <i>Potamocorbula </i>plus existing <i>Corbicula </i>likely reduced the net growth rate of the phytoplankton in and just upstream from the Sacramento and San Joaquin River confluence region when the barrier was in place. Prior to the barrier installation, a very dry period assumably aided the success of <i>Potamocorbula </i>in the confluence region; nonetheless, they also responded to the increasing salinity in the Sacramento River and their population spatially expanded. <i>Potamocorbula’s </i>upriver incursion was stopped owing to the return of freshwater flow due to the removal of the barrier, but the adults of the species were still present at the upstream end of Decker Island in January 2016. <i>Corbicula </i>adults did not seem to respond to the increased salinity caused by the barrier and maintained their biomass at all locations compared to what was recorded before the barrier.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211088","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Parchaso, F., Zierdt Smith, E.L., and Thompson, J.K., 2021, Effect of the emergency drought barrier on the distribution, biomass, and grazing rate of the bivalves Corbicula fluminea and Potamocorbula amurensis, False River, California: U.S. Geological Survey Open-File Report 2021–1088, 22 p., https://doi.org/10.3133/ofr20211088.","productDescription":"vii, 22 p.","onlineOnly":"Y","ipdsId":"IP-120260","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":389246,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1088/coverthb.jpg"},{"id":389247,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1088/ofr20211088.pdf","text":"Report","size":"5.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1088"}],"country":"United States","state":"California","otherGeospatial":"False River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.87957763671874,\n              38.005902055387075\n            ],\n            [\n              -121.44561767578124,\n              38.005902055387075\n            ],\n            [\n              -121.44561767578124,\n              38.232786699509965\n            ],\n            [\n              -121.87957763671874,\n              38.232786699509965\n            ],\n            [\n              -121.87957763671874,\n              38.005902055387075\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/mission-areas/water-resources\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources\">Water Resources, Earth System Processes Division</a><br>U.S. Geological Survey<br>345 Middlefield Road<br>Menlo Park, California, 94025</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Hypotheses of Bivalve Response</li><li>Study Rationale</li><li>Results</li><li>Conclusions</li><li>Referenced Cited</li><li>Appendix 1</li></ul>","publishedDate":"2021-09-15","noUsgsAuthors":false,"publicationDate":"2021-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Parchaso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":150620,"corporation":false,"usgs":true,"family":"Parchaso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":823309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zierdt Smith, Emily L. 0000-0003-0787-1856 ezierdtsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0787-1856","contributorId":220320,"corporation":false,"usgs":true,"family":"Zierdt Smith","given":"Emily","email":"ezierdtsmith@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":823310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":823311,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70226855,"text":"70226855 - 2021 - A novel automatic phenology learning (APL) method of training sample selection using multiple datasets for time-series land cover mapping","interactions":[],"lastModifiedDate":"2023-11-08T16:32:06.862608","indexId":"70226855","displayToPublicDate":"2021-09-15T06:59:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"A novel automatic phenology learning (APL) method of training sample selection using multiple datasets for time-series land cover mapping","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0130\"><span>The long record of&nbsp;Landsat&nbsp;imagery, which is the cornerstone of Earth observation, provides an opportunity to monitor land use and land cover (LULC) change and understand the interactions between the climate and earth system through time. A few change detection algorithms such as Continuous Change Detection and Classification (CCDC) have been developed to utilize all available Landsat images for change detection and characterization at local or global scales. However, the reliable, rapid, and reproducible collection of training samples have become a challenge for time series land cover classification at a large scale. To meet the challenge, we proposed an automatic&nbsp;</span>phenology<span>&nbsp;learning (APL) method with the assumption that the temporal profiles of samples within the same land cover type are the same or similar at a local scale to generate evenly distributed training samples automatically. We designed the method to build land cover patterns for each category based on consensus samples derived from multiple existing scientific datasets including LANDFIRE's (LF) Existing Vegetation Type (EVT), USGS National Land Cover Database (NLCD), National Agricultural Statistics Service (NASS) Cropland Data Layer (CDL), and National Wetlands Inventory (NWI). Then we calculated the Time-Weighted Dynamic Time Warping (twDTW) distance between any undefined samples and land cover patterns in the same&nbsp;geographical region&nbsp;as prior knowledge. Finally, we selected the optimal land cover category for each undefined sample from the land cover products based on the designed criteria iteratively using the twDTW distance as an indicator. The method was applied in the footprint of 10 selected Landsat Analysis Ready Data (ARD) tiles in the eastern and western conterminous United States (CONUS) to produce annual land cover maps from 1985 to 2017. The accuracy assessment and visual comparison revealed that the APL method can generate reliable training samples without any manual interpretation, producing better land cover results especially for the grass/shrub and wetland land cover classes. Applying the APL method, the overall accuracy of the annual land cover maps was improved by 2% over the accuracy of Land Change Monitoring, Assessment, and Projection (LCMAP) Collection 1.0 Science Products in the research regions. Our results also indicate that the APL method provides an approach for best use of different land cover products and meets the requirement of intensive sampling for training data collection.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2021.112670","usgsCitation":"Li, C., Xian, G.Z., Zhou, Q., and Pengra, B., 2021, A novel automatic phenology learning (APL) method of training sample selection using multiple datasets for time-series land cover mapping: Remote Sensing of Environment, v. 266, 112670, 19 p., https://doi.org/10.1016/j.rse.2021.112670.","productDescription":"112670, 19 p.","ipdsId":"IP-123712","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":450816,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2021.112670","text":"Publisher Index Page"},{"id":393007,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"266","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":828505,"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":828506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":828507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pengra, Bruce 0000-0003-2497-8284","orcid":"https://orcid.org/0000-0003-2497-8284","contributorId":264539,"corporation":false,"usgs":false,"family":"Pengra","given":"Bruce","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":828508,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70226460,"text":"70226460 - 2021 - Could climate change benefit invasive snakes? Modelling the potential distribution of the California Kingsnake in the Canary Islands","interactions":[],"lastModifiedDate":"2021-11-18T12:45:30.779819","indexId":"70226460","displayToPublicDate":"2021-09-15T06:43:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Could climate change benefit invasive snakes? Modelling the potential distribution of the California Kingsnake in the Canary Islands","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">The interaction between climate change and biological invasions is a global conservation challenge with major consequences for invasive species management. However, our understanding of this interaction has substantial knowledge gaps; this is particularly relevant for invasive snakes on islands because they can be a serious threat to island ecosystems. Here we evaluated the potential influence of climate change on the distribution of invasive snakes on islands, using the invasion of the California kingsnake (<i>Lampropeltis californiae</i>) in Gran Canaria. We analysed the potential distribution of<span>&nbsp;</span><i>L. californiae</i><span>&nbsp;</span>under current and future climatic conditions in the Canary Islands, with the underlying hypothesis that the archipelago might be suitable for the species under these climate scenarios. Our results indicate that the Canary Islands are currently highly suitable for the invasive snake, with increased suitability under the climate change scenarios tested here. This study supports the idea that invasive reptiles represent a substantial threat to near-tropical regions, and builds on previous studies suggesting that the menace of invasive reptiles may persist or even be exacerbated by climate change. We suggest future research should continue to fill the knowledge gap regarding invasive reptiles, in particular snakes, to clarify their potential future impacts on global biodiversity.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2021.112917","usgsCitation":"Piquet, J.C., Warren, D.L., Bolanos, J.F., Rivero, J.M., Gallo-Barneto, R., Cabrera-Perez, M.A., Fisher, R., Fisher, S.R., Rochester, C.J., Hinds, B., Nogales, M., and Lopez-Darias, M., 2021, Could climate change benefit invasive snakes? Modelling the potential distribution of the California Kingsnake in the Canary Islands: Journal of Environmental Management, v. 294, 112917, 8 p., https://doi.org/10.1016/j.jenvman.2021.112917.","productDescription":"112917, 8 p.","ipdsId":"IP-130137","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":450819,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2021.112917","text":"Publisher Index Page"},{"id":391854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Canary Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -18.6328125,\n              27.29368922485238\n            ],\n            [\n              -12.98583984375,\n              27.29368922485238\n            ],\n            [\n              -12.98583984375,\n              29.535229562948444\n            ],\n            [\n              -18.6328125,\n              29.535229562948444\n            ],\n            [\n              -18.6328125,\n              27.29368922485238\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"294","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Piquet, Julien C","contributorId":269379,"corporation":false,"usgs":false,"family":"Piquet","given":"Julien","email":"","middleInitial":"C","affiliations":[{"id":55955,"text":"Instituto de Productos Naturales y Agrobiología, Tenerife, Canary Islands, Spain","active":true,"usgs":false}],"preferred":false,"id":826982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, Dan L","contributorId":269380,"corporation":false,"usgs":false,"family":"Warren","given":"Dan","email":"","middleInitial":"L","affiliations":[{"id":55958,"text":"Senckenberg Biodiversity and Climate Research Centre (BiK-F), Frankfurt, Germany","active":true,"usgs":false}],"preferred":false,"id":826983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bolanos, Jorge Fernando Saavedra","contributorId":269381,"corporation":false,"usgs":false,"family":"Bolanos","given":"Jorge","email":"","middleInitial":"Fernando Saavedra","affiliations":[{"id":55959,"text":"Área de Medio Ambiente. Gestión y Planeamiento Territorial y Ambiental,Gran Canaria, Canary Islands, Spain","active":true,"usgs":false}],"preferred":false,"id":826984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rivero, Jose Miguel Sanchez","contributorId":269382,"corporation":false,"usgs":false,"family":"Rivero","given":"Jose","email":"","middleInitial":"Miguel Sanchez","affiliations":[{"id":55960,"text":"Gestión y Planeamiento Territorial y Ambiental, Gran Canaria, Canary Islands, Spain","active":true,"usgs":false}],"preferred":false,"id":826985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallo-Barneto, Ramon","contributorId":269383,"corporation":false,"usgs":false,"family":"Gallo-Barneto","given":"Ramon","email":"","affiliations":[{"id":55960,"text":"Gestión y Planeamiento Territorial y Ambiental, Gran Canaria, Canary Islands, Spain","active":true,"usgs":false}],"preferred":false,"id":826986,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cabrera-Perez, Miguel Angel","contributorId":269384,"corporation":false,"usgs":false,"family":"Cabrera-Perez","given":"Miguel","email":"","middleInitial":"Angel","affiliations":[{"id":55961,"text":"Dirección General de Protección de la Naturaleza, Gobierno de Canarias, Las Palmas, Gran Canaria, Canary Islands, Spain","active":true,"usgs":false}],"preferred":false,"id":826987,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":826988,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Sam R","contributorId":269385,"corporation":false,"usgs":false,"family":"Fisher","given":"Sam","email":"","middleInitial":"R","affiliations":[{"id":55962,"text":"Southwestern College","active":true,"usgs":false}],"preferred":false,"id":826989,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rochester, Carlton J. 0000-0002-0625-4496","orcid":"https://orcid.org/0000-0002-0625-4496","contributorId":207764,"corporation":false,"usgs":true,"family":"Rochester","given":"Carlton","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":826990,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hinds, Brian","contributorId":269386,"corporation":false,"usgs":false,"family":"Hinds","given":"Brian","email":"","affiliations":[{"id":55963,"text":"Herpetological Education and Research Project, Whittier, CA","active":true,"usgs":false}],"preferred":false,"id":826991,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nogales, Manuel","contributorId":269387,"corporation":false,"usgs":false,"family":"Nogales","given":"Manuel","email":"","affiliations":[{"id":55964,"text":"Instituto de Productos Naturales y Agrobiología, Canary Islands, Spain","active":true,"usgs":false}],"preferred":false,"id":826992,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lopez-Darias, Marta","contributorId":269388,"corporation":false,"usgs":false,"family":"Lopez-Darias","given":"Marta","email":"","affiliations":[{"id":55964,"text":"Instituto de Productos Naturales y Agrobiología, Canary Islands, Spain","active":true,"usgs":false}],"preferred":false,"id":826993,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70223841,"text":"cir1487 - 2021 - Woods Hole Coastal and Marine Science Center—2020 annual report","interactions":[],"lastModifiedDate":"2021-09-15T11:35:57.002951","indexId":"cir1487","displayToPublicDate":"2021-09-14T15:30:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1487","displayTitle":"Woods Hole Coastal and Marine Science Center—2020 Annual Report","title":"Woods Hole Coastal and Marine Science Center—2020 annual report","docAbstract":"<p>The 2020 annual report of the U.S. Geological Survey Woods Hole Coastal and Marine Science Center highlights accomplishments of 2020, includes a list of 2020 publications, and summarizes the work of the center, as well as the work of each of its science groups. This product allows readers to gain a general understanding of the focus areas of the center’s scientific research and learn more about specific projects and progress made throughout 2020, all while enjoying photographs taken in various environments and laboratories, and applicable maps and figures.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1487","usgsCitation":"Ernst, S., 2021, Woods Hole Coastal and Marine Science Center—2020 annual report: U.S. Geological Survey Circular 1487, 36 p., https://doi.org/10.3133/cir1487.","productDescription":"iv, 36 p.","numberOfPages":"36","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-126577","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":389041,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1487/coverthb.jpg"},{"id":389042,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1487/cir1487.pdf","text":"Report","size":"7.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1487"}],"contact":"<p><a href=\"mailto:WHSC_science_director@usgs.gov\" data-mce-href=\"mailto:WHSC_science_director@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/whcmsc\" data-mce-href=\"https://www.usgs.gov/centers/whcmsc\">Woods Hole Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>384 Woods Hole Road<br>Quissett Campus<br>Woods Hole, MA 02543–1598</p>","tableOfContents":"<ul><li>Coastal and Marine Science Based in Woods Hole, Massachusetts</li><li>Coastal and Shelf Geology</li><li>Sediment Transport</li><li>Energy and Geohazards</li><li>Environmental Geoscience</li><li>Sea-Floor Mapping</li><li>Information Science</li><li>Diversity, Equity, and Inclusion in Woods Hole</li><li>2020 Summer Student Mentorships</li><li>2020 Publications</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-09-14","noUsgsAuthors":false,"publicationDate":"2021-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Ernst, Sara 0000-0001-7825-3209","orcid":"https://orcid.org/0000-0001-7825-3209","contributorId":219205,"corporation":false,"usgs":true,"family":"Ernst","given":"Sara","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":822893,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70223987,"text":"fs20213043 - 2021 - Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2018–19","interactions":[],"lastModifiedDate":"2021-09-15T11:43:03.004281","indexId":"fs20213043","displayToPublicDate":"2021-09-14T13:37:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-3043","displayTitle":"Continuous Water-Quality and Suspended-Sediment Transport Monitoring in the San Francisco Bay, California, Water Years 2018–19","title":"Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2018–19","docAbstract":"<h1>Water-Quality in San Francisco Bay</h1><p>The U.S. Geological Survey (USGS) monitors water quality and suspended-sediment transport in the San Francisco Bay (Bay) as part of a multi-agency effort to address estuary management, water supply, and ecological concerns. The San Francisco Bay area is home to millions of people, and the Bay teems with marine and terrestrial flora and fauna. Freshwater mixes with saltwater in the Bay and is subject to riverine influences (floods, droughts, managed reservoir releases, and freshwater diversions) and marine influences (tides, waves, and effects of saltwater). To understand this environment, the USGS, along with its cooperators (see “Acknowledgments” section), has been monitoring the Bay’s waters continuously since 1988.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213043","usgsCitation":"Einhell, D.C., Davila Olivera, S., and Palm, D.L., 2021, Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2018–19: U.S. Geological Survey Fact Sheet 2021-3043, 4 p., https://doi.org/10.3133/fs20213043.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-129590","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":389209,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3043/covrthb.jpg"},{"id":389210,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3043/fs20213043.pdf","text":"Report","size":"3. 5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":389211,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2021/3043/fs20213043.xml"},{"id":389212,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2021/3043/images"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.98095703125,\n              37.17782559332976\n            ],\n            [\n              -121.4208984375,\n              37.17782559332976\n            ],\n            [\n              -121.4208984375,\n              38.28993659801203\n            ],\n            [\n              -122.98095703125,\n              38.28993659801203\n            ],\n            [\n              -122.98095703125,\n              37.17782559332976\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<p><br data-mce-bogus=\"1\"></p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2021-09-14","noUsgsAuthors":false,"publicationDate":"2021-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Einhell, Darin C. 0000-0002-3190-7727 deinhell@usgs.gov","orcid":"https://orcid.org/0000-0002-3190-7727","contributorId":220042,"corporation":false,"usgs":true,"family":"Einhell","given":"Darin","email":"deinhell@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davila Olivera, Selina M. 0000-0002-2574-2997","orcid":"https://orcid.org/0000-0002-2574-2997","contributorId":265761,"corporation":false,"usgs":true,"family":"Davila Olivera","given":"Selina","email":"","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palm, Danielle L. 0000-0003-3045-5287","orcid":"https://orcid.org/0000-0003-3045-5287","contributorId":265762,"corporation":false,"usgs":true,"family":"Palm","given":"Danielle","email":"","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823305,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70229079,"text":"70229079 - 2021 - Modeling moose habitat use by age, sex, and season in Vermont, USA using high-resolution lidar and national land cover data","interactions":[],"lastModifiedDate":"2022-02-28T15:25:39.969747","indexId":"70229079","displayToPublicDate":"2021-09-14T09:13:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":693,"text":"Alces","active":true,"publicationSubtype":{"id":10}},"title":"Modeling moose habitat use by age, sex, and season in Vermont, USA using high-resolution lidar and national land cover data","docAbstract":"<p><span>Moose (</span><i>Alces alces</i><span>) populations have experienced unprecedented declines along the southern periphery of their range, including Vermont, USA. Habitat management may be used to improve the status of the population and health of individuals. To date, however, Vermont wildlife managers have been challenged to effectively use this important tool due to the lack of fine-scale information on moose space use and habitat characteristics. To assess habitat use, we combined more than 40,000 moose locations collected from radio-collared individuals (n = 74), recent land cover data, and high resolution, 3-dimensional lidar (</span><i>light detection and ranging</i><span>) data to develop Resource Utilization Functions (RUF) by age (mature and young adult), season (dormant and growth), and sex. Each RUF linked home range use to average habitat conditions within 400 m or 1 km of each 30 m</span><sup>2</sup><span>&nbsp;pixel within the home range. Across analyses, the top RUF models included both composition (as measured through the National Land Cover Database) and structure (as measured through lidar) variables, and significantly outperformed models that excluded lidar variables. These findings support the notion that lidar is an effective tool for improving the ability of models to estimate patterns of habitat use, especially for larger bodied mammals. Generally speaking, female moose actively used areas with proportionally more regenerating forest (i.e., forage &lt; 3.0 m) and more mature forest (i.e., canopy structure &gt; 6.0 m), while males actively used more high elevation, mixed forest types. Further, moose exhibited important seasonal differences in habitat use that likely reflect temporal changes in energetic and nutritional requirements and behavior across the year. Moose used areas with proportionally more regenerating forest (i.e., forage &lt; 3.0 m) during the growth period and female moose had strong positive associations with lidar-derived canopy structure during the growth (but not the dormant) period. Ultimately, the resultant maps of habitat use provide a means of informing management activities (e.g., the restoration or alteration of habitats to benefit moose) and policies around land use that may contribute to population recovery.</span></p>","language":"English","publisher":"North American Moose Conference and Workshop","usgsCitation":"Blouin, J., Debow, J., Rosenblatt, E., Alexander, C., Gieder, K., Fortin, N., Murdoch, J., and Donovan, T.M., 2021, Modeling moose habitat use by age, sex, and season in Vermont, USA using high-resolution lidar and national land cover data: Alces, v. 57, p. 71-98.","productDescription":"28 p.","startPage":"71","endPage":"98","ipdsId":"IP-121680","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396550,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70232168,"text":"70232168 - 2021 - Early growth and ecophysiological responses of Koa (Acacia koa A. Gray) seedlings to reduced water and phosphorus","interactions":[],"lastModifiedDate":"2022-06-09T13:18:41.942854","indexId":"70232168","displayToPublicDate":"2021-09-14T08:13:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5909,"text":"New Forests","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Early growth and ecophysiological responses of Koa (<i>Acacia koa</i> A. Gray) seedlings to reduced water and phosphorus","title":"Early growth and ecophysiological responses of Koa (Acacia koa A. Gray) seedlings to reduced water and phosphorus","docAbstract":"<p>Sites in need of restoration typically have one or more environmental factors that limit seedling establishment. Identifying ecophysiological responses to environmental stressors can provide important insights into mitigating measures that would allow seedlings to overcome such constraints to survival. Koa (<i>Acacia koa</i>&nbsp;A. Gray) is a nitrogen-fixing tree species endemic to Hawaiʻi that is highly valued in restoring degraded forest ecosystems, which are often limited in available water and phosphorus. This study examined how koa seedlings respond to conditions of reduced water (65&nbsp;W) and no phosphorus (0P). After 17&nbsp;weeks, seedlings subjected to 65&nbsp;W or 0P accumulated less biomass, smaller root-collar diameters, and lower nitrogen and phosphorus contents. Combined reductions in water and P resulted in seedlings with increased root to shoot dry biomass and shorter shoots. Seedlings subjected to 65&nbsp;W also had lower instantaneous rates of CO<sub>2</sub>&nbsp;assimilation, but higher instantaneous water-use efficiencies following irrigation, suggesting that koa responds to water deficits by decreasing water loss via reduced stomatal conductance. Seedlings subjected to 0P had similar rates of CO<sub>2</sub>&nbsp;assimilation relative to those grown with adequate P, suggesting that koa is able to employ strategies to avoid physiological impairment from conditions of inadequate P. Future research should assess whether subjecting koa seedlings to reduced water before planting on water-limited sites cues increased drought resistance and whether uptake and storage of P by seedlings in the nursery better supports growth following outplanting, particularly on sites with anticipated low plant-available water.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11056-021-09877-8","usgsCitation":"Gerber, K., Ross-Davis, A., Perakis, S.S., and Davis, A.S., 2021, Early growth and ecophysiological responses of Koa (Acacia koa A. 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 \"}}]}","volume":"2021","noUsgsAuthors":false,"publicationDate":"2021-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Gerber, Kaitlin","contributorId":292369,"corporation":false,"usgs":false,"family":"Gerber","given":"Kaitlin","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":844416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross-Davis, Amy","contributorId":292370,"corporation":false,"usgs":false,"family":"Ross-Davis","given":"Amy","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":844417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"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":844418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Anthony S.","contributorId":292372,"corporation":false,"usgs":false,"family":"Davis","given":"Anthony","email":"","middleInitial":"S.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":844419,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70224926,"text":"70224926 - 2021 - Data management and interactive visualizations for the evolving marine biodiversity observation network","interactions":[],"lastModifiedDate":"2021-10-05T12:18:09.296304","indexId":"70224926","displayToPublicDate":"2021-09-14T07:16:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2929,"text":"Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Data management and interactive visualizations for the evolving marine biodiversity observation network","docAbstract":"<p>Assessing the current state of and predicting change in the ocean’s biological and ecosystem resources requires observations and research to safeguard these valuable public assets. The Marine Biodiversity Observation Network (MBON) partnered with the Global Ocean Observing System Biology and Ecosystems Panel and the Ocean Biodiversity Information System to address these needs through collaboration, data standardization, and data sharing. Here, we describe the generalized MBON data processing flow, which includes several steps to ensure that data are findable, accessible, interoperable, and reusable. By following this flow, data collected and managed by MBON have contributed to our understanding of the Global Ocean Observing System Essential Ocean Variables and demonstrated the value of web-based, interactive tools to explore and better understand environmental change. Although the MBON’s generalized data processing flow is already in practice, work remains in building ontologies for biological concepts, improving processing scripts for data standardization, and speeding up the data collection-to-sharing timeframe.</p>","language":"English","publisher":"Oceanography Society","doi":"10.5670/oceanog.2021.220","usgsCitation":"Benson, A., Murray, T., Canonico, G., Montes, E., Muller-Karger, F., Kavanaugh, M.T., Trinanes, J., and deWitt, L.M., 2021, Data management and interactive visualizations for the evolving marine biodiversity observation network: Oceanography, v. 34, no. 2, 12 p., https://doi.org/10.5670/oceanog.2021.220.","productDescription":"12 p.","ipdsId":"IP-129399","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":450824,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2021.220","text":"Publisher Index Page"},{"id":390231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Benson, Abigail 0000-0002-4391-107X","orcid":"https://orcid.org/0000-0002-4391-107X","contributorId":202078,"corporation":false,"usgs":true,"family":"Benson","given":"Abigail","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":824632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Tylar","contributorId":267183,"corporation":false,"usgs":false,"family":"Murray","given":"Tylar","email":"","affiliations":[{"id":55430,"text":"Institute for Marine Remote Sensing/IMaRS, College of Marine Science, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":824633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Canonico, Gabrielle","contributorId":217563,"corporation":false,"usgs":false,"family":"Canonico","given":"Gabrielle","email":"","affiliations":[{"id":39659,"text":"National Oceanographic and Atmospheric Administration, US Integrated Ocean Observing System, Silver Spring, MD, USA","active":true,"usgs":false}],"preferred":false,"id":824634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Montes, Enrique","contributorId":217565,"corporation":false,"usgs":false,"family":"Montes","given":"Enrique","email":"","affiliations":[{"id":39661,"text":"University of South Florida, St Petersburg, FL USA","active":true,"usgs":false}],"preferred":false,"id":824635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muller-Karger, Frank","contributorId":218424,"corporation":false,"usgs":false,"family":"Muller-Karger","given":"Frank","affiliations":[],"preferred":false,"id":824636,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kavanaugh, Maria T.","contributorId":200277,"corporation":false,"usgs":false,"family":"Kavanaugh","given":"Maria","email":"","middleInitial":"T.","affiliations":[{"id":13294,"text":"Woods Hole Oceanographic Institute","active":true,"usgs":false}],"preferred":false,"id":824637,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Trinanes, Joaquin","contributorId":44102,"corporation":false,"usgs":false,"family":"Trinanes","given":"Joaquin","email":"","affiliations":[{"id":34485,"text":"University of Santiago de Compostela, Santiago de Compostela, Spain","active":true,"usgs":false}],"preferred":false,"id":824638,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"deWitt, Lynn M.","contributorId":267184,"corporation":false,"usgs":false,"family":"deWitt","given":"Lynn","email":"","middleInitial":"M.","affiliations":[{"id":55431,"text":"National Oceanographic and Atmospheric Administration, National Marine Fisheries Service, Southwest Fisheries Science Center, Environmental Research Division","active":true,"usgs":false}],"preferred":false,"id":824639,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70225676,"text":"70225676 - 2021 - An eddy-resolving numerical model to study turbulent flow, sediment and bed evolution using detached eddy simulation in a lateral separation zone at the field-scale","interactions":[],"lastModifiedDate":"2021-11-02T11:46:57.154677","indexId":"70225676","displayToPublicDate":"2021-09-14T06:44:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6503,"text":"Journal of Geophysical Research Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"An eddy-resolving numerical model to study turbulent flow, sediment and bed evolution using detached eddy simulation in a lateral separation zone at the field-scale","docAbstract":"<div class=\"article-section__content en main\"><p>Turbulence-resolving simulations elucidate key elements of fluid dynamics and sediment transport in fluvial environments. This research presents a feasible strategy for applying state-of-the-art computational fluid mechanics to the study of sediment transport and morphodynamic processes in lateral separation zones, which are common features in canyon rivers where massive lateral flow separation causes large-scale turbulence that controls sediment erosion and deposition. An eddy-resolving model was developed and tested at the field-scale, coupling a viscous flow and sediment transport solver using Detached Eddy Simulation techniques. A morphodynamic model was applied to the viscous flow/sediment solver to calculate erosion and deposition. A simulation of turbulence was performed at the grid resolution for a straight channel to determine the relative contributions of modeled and resolved diffusivity. The time-dependent, energetically important, correlative, non-stationary signals of the simulated quantities were captured at the lateral separation zone. Strong periodic signals featured by high amplitude were found at the separation zone, while low frequency pulsations were observed at the reattachment zone of the lateral separation zone. Interactions between the eddies and the loose bed boundaries resulted in erosion of sediment at the main channel followed by deposition at the primary eddy and eddy bars.</p></div><p>tions elucidate key elements of fluid dynamics and sediment transport in fluvial environments. This research presents a feasible strategy for applying state-of-the-art computational fluid mechanics to the study of sediment transport and morphodynamic processes in lateral separation zones, which are common features in canyon rivers where massive lateral flow separation causes large-scale turbulence that controls sediment erosion and deposition. An eddy-resolving model was developed and tested at the field scale, coupling viscous flow and sediment transport solver using Detached Eddy Simulation (DES) techniques. A morphodynamic model was applied to the viscous flow/sediment solver to calculate erosion and deposition. A simulation of turbulence was performed at the grid resolution for a straight channel to determine the relative contributions of modeled and resolved diffusivity. The time-dependent, energetically important, correlative non-stationary signals of the simulated quantities were captured at the lateral separation zone. Strong periodic signals featured by high amplitude were found at the separation zone, while low frequency pulsations were observed at the reattachment zone of the lateral separation zone. Interactions between the eddies and the loose bed boundaries resulted in massive erosion of sediment at the main channel followed by deposition at the primary eddy and eddy bars.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JF006149","usgsCitation":"Alvarez, L.V., and Grams, P.E., 2021, An eddy-resolving numerical model to study turbulent flow, sediment and bed evolution using detached eddy simulation in a lateral separation zone at the field-scale: Journal of Geophysical Research Earth Surface, v. 126, no. 10, e2021JF006149, 29 p., https://doi.org/10.1029/2021JF006149.","productDescription":"e2021JF006149, 29 p.","ipdsId":"IP-128083","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":391260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.1484375,\n              36.474306755095235\n            ],\n            [\n              -110.89599609375,\n              36.474306755095235\n            ],\n            [\n              -110.89599609375,\n              37.020098201368114\n            ],\n            [\n              -112.1484375,\n              37.020098201368114\n            ],\n            [\n              -112.1484375,\n              36.474306755095235\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Alvarez, Laura V.","contributorId":178431,"corporation":false,"usgs":false,"family":"Alvarez","given":"Laura","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":826186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":826187,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70221220,"text":"sir20215053 - 2021 - Analysis of Escherichia coli, total recoverable iron, and dissolved selenium concentrations, loading, and identifying data gaps for selected 303(d) listed streams, Grand Valley, western Colorado, 1980–2018","interactions":[],"lastModifiedDate":"2021-09-13T16:54:19.222516","indexId":"sir20215053","displayToPublicDate":"2021-09-13T11:30:00","publicationYear":"2021","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":"2021-5053","displayTitle":"Analysis of <i>Escherichia coli</i>, Total Recoverable Iron, and Dissolved Selenium Concentrations, Loading, and Identifying Data Gaps for Selected 303(d) Listed Streams, Grand Valley, Western Colorado, 1980–2018","title":"Analysis of Escherichia coli, total recoverable iron, and dissolved selenium concentrations, loading, and identifying data gaps for selected 303(d) listed streams, Grand Valley, western Colorado, 1980–2018","docAbstract":"<p>Tributaries to the Colorado River in the Grand Valley in western Colorado (segment COLCLC13b) have been placed on the State of Colorado 303(d) list as impaired for <i>Escherichia coli (E. coli)</i>, total recoverable iron, and dissolved selenium. The Colorado Department of Public Health and Environment Water Quality Control Division is required to develop total maximum daily loads for these constituents in these tributaries. The U.S. Geological Survey, in cooperation with the Grand Valley Drainage District and Colorado Water Conservation Board, conducted a study to (1) characterize concentrations, loads, and load reductions for <i>E. coli</i>, total recoverable iron, and dissolved selenium using existing data and (2) identify water-quality data gaps to inform future monitoring strategies. This study analyzed water-quality and streamflow data for 3 main-stem sites (2 sites along the Colorado River and 1 site along the Gunnison River) and 29 selected sites on tributaries to the Colorado River.</p><p>Sample data were available at five sites along Adobe Creek and at six sites along Leach Creek, the two tributaries in the study area that are impaired for <i>E. coli</i>. All geometric mean <i>E. coli</i> concentrations at sites along Adobe Creek and Leach Creek exceeded the State recreational use standard of 126 colony forming units per 100 milliliters (CFU/100 mL). In Adobe Creek, <i>E. coli</i> concentrations in samples ranged from 45.7 to more than 2,420 CFU/100 mL (method upper reporting limit for undiluted samples), and geometric mean concentrations at sites ranged from 301 to 1,180 CFU/100 mL. The <i>E. coli</i> concentrations generally increased in the downstream direction in Adobe Creek; however, increases were not seen between all sites. The largest downstream increase in <i>E. coli</i> concentration was measured between the two most upstream sites. In Leach Creek, concentrations of <i>E. coli</i> in samples ranged from 25.9 to more than 2,420 CFU/100 mL, and geometric mean concentrations at sites ranged from 160 to 259 CFU/100 mL. The <i>E. coli</i> concentrations showed no consistent downgradient increase in Leach Creek. In fact, some of the highest <i>E. coli</i> concentrations were measured at the most upstream site, Leach Creek at Summer Hill Drive.</p><p>Total recoverable iron concentrations and loads were evaluated at 15 tributary sites for samples collected from August 1993 to February 2018. Median total recoverable iron concentrations ranged from 211 to 4,670 micrograms per liter (µg/L). The chronic aquatic-life water-quality standard (1,000 µg/L) was exceeded in most irrigation season (April through October) samples but was rarely exceeded in nonirrigation season (November through March) samples. Concentrations were often an order of magnitude higher in samples collected during irrigation season than in samples collected during nonirrigation season. None of the sites had enough concurrent total recoverable iron and streamflow data to compute annual loads. As with <i>E. coli</i>, the lack of concurrent total recoverable iron and streamflow information represents a data gap, which needs to be addressed to compute annual loads.</p><p>Dissolved selenium concentrations and loads were evaluated at 20 tributary sites using discrete water-quality data collected 1991–2018. Dissolved selenium concentrations were higher during nonirrigation season than during irrigation season at tributary sites. However, irrigation season dissolved selenium loads were generally higher than nonirrigation selenium loads, because streamflows were higher during irrigation season. Regression analysis was used to estimate daily dissolved selenium concentrations and loads at three main-stem sites for water years (WYs) 1980–2018 (Gunnison River near Grand Junction and Colorado River near Colorado-Utah State Line) and WYs 2002–18 (Colorado River near Cameo). A trend analysis of dissolved selenium concentrations and loads was completed for these sites from the same respective starting dates but ending in 2017. A continuing downward trend in dissolved selenium concentration was observed at all sites and across all seasonal designations of the analysis. The dissolved selenium concentration decreased by 0.12 µg/L from WY 2002 to 2017 at Colorado River near Cameo, representing an 18-percent decrease during the time period. The dissolved selenium concentration at Gunnison River near Grand Junction decreased by 4.2 µg/L from WY 1980 to 2017, representing a 56-percent decrease overall. During the same time period, dissolved selenium concentration at Colorado River near Colorado-Utah State Line decreased by 3.8 µg/L, representing a 56-percent decrease overall. A downward trend in dissolved selenium load was also observed at all sites and across all seasonal designations of the analysis. The relative contribution of dissolved selenium from the Grand Valley near Grand Junction was estimated by comparing loads at main-stem sites bracketing the study area. The two upstream sites, Colorado River near Cameo and Gunnison River near Grand Junction, contributed 60,300 cumulative pounds and 251,000 cumulative pounds, respectively, during WYs 2002–18. At the furthest downstream site, Colorado River near Colorado-Utah State Line, 490,000 cumulative pounds were estimated during the same time period, indicating that the region between Whitewater and State line contributed approximately 179,000 cumulative pounds or a mean annual load of 10,500 lb/yr. Grand Valley dissolved selenium contributions appear to be stable during WYs 2002–18.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215053","collaboration":"Prepared in cooperation with the Grand Valley Drainage District and the  Colorado Water Conservation Board","usgsCitation":"Miller, L.D., Gidley, R.G., Day, N.K., and Thomas, J.C., 2021, Analysis of <i>Escherichia coli</i>, total recoverable iron, and dissolved selenium concentrations, loading, and identifying data gaps for selected 303(d) listed streams, Grand Valley, western Colorado, 1980–2018 (ver. 1.1, September  2021): U.S. Geological Survey Scientific Investigations Report 2021-5053, 37 p., https://doi.org/10.3133/sir20215053.","productDescription":"Report: vii, 37 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-106948","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":386290,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5053/sir20215053.pdf","text":"Report","size":"2.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5053"},{"id":386289,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5053/coverthb3.jpg"},{"id":388012,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2021/5053/versionHist.txt","size":"8.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"Version history"},{"id":386291,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P6WI44","text":"USGS data release","linkHelpText":"Analysis of Escherichia coli, total recoverable iron, and dissolved selenium concentrations and loads for selected 303(d) listed segments in the Grand Valley, western Colorado, 1980–2018 (ver. 3.0, August 2021)"}],"country":"United States","state":"Colorado","otherGeospatial":"Grand Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.083251953125,\n              38.736946065676\n            ],\n            [\n              -107.99560546875,\n              38.736946065676\n            ],\n            [\n              -107.99560546875,\n              39.470125122358176\n            ],\n            [\n              -109.083251953125,\n              39.470125122358176\n            ],\n            [\n              -109.083251953125,\n              38.736946065676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: June 9, 2021; Version 1.1: September 13, 2021","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/co-water\" data-mce-href=\"https://www.usgs.gov/centers/co-water\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-415<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Summary of Previous Work</li><li>Methods</li><li>Analysis of <i>E. coli</i>, Total Recoverable Iron, and Dissolved Selenium Concentrations and Loading and Data Gaps</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2021-06-09","revisedDate":"2021-09-13","noUsgsAuthors":false,"publicationDate":"2021-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Lisa D. 0000-0002-3523-0768 ldmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-3523-0768","contributorId":1125,"corporation":false,"usgs":true,"family":"Miller","given":"Lisa","email":"ldmiller@usgs.gov","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gidley, Rachel G. 0000-0002-9840-8252","orcid":"https://orcid.org/0000-0002-9840-8252","contributorId":259315,"corporation":false,"usgs":true,"family":"Gidley","given":"Rachel","email":"","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Natalie K. 0000-0002-8768-5705","orcid":"https://orcid.org/0000-0002-8768-5705","contributorId":207302,"corporation":false,"usgs":true,"family":"Day","given":"Natalie","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":817108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Judith C. 0000-0001-7883-1419","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":202706,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817109,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223869,"text":"sir20215081 - 2021 - Storage capacity and sedimentation characteristics of Loch Lomond Reservoir, California, 2019","interactions":[],"lastModifiedDate":"2021-09-14T16:44:19.744785","indexId":"sir20215081","displayToPublicDate":"2021-09-13T07:29:23","publicationYear":"2021","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":"2021-5081","displayTitle":"Storage Capacity and Sedimentation Characteristics of Loch Lomond Reservoir, California, 2019","title":"Storage capacity and sedimentation characteristics of Loch Lomond Reservoir, California, 2019","docAbstract":"<p>In May of 2019, Loch Lomond Reservoir was surveyed by the U.S. Geological Survey (USGS) in cooperation with the city of Santa Cruz to assess the current storage capacity and sedimentation rates in the reservoir. Survey methods combined sonar soundings to measure bathymetry and lidar scans with GPS data to measure near-shore topography and sediment bed samples to understand reservoir bed-material<br>size. The survey data produced a bare-earth digital elevation model (DEM) of the reservoir at a resolution of 1 square meter or better to elevations at or above the reservoir spillway elevation, providing the coverage needed to estimate storage capacity. Additionally, the USGS compared the current survey to storage estimates from historical surveys—particularly the most recent survey in 2009—to evaluate storage capacity trends. Lastly, a hindcast estimate of scaled sediment yield using sediment yields from the San Lorenzo River (USGS station 11160500)—where the San Lorenzo River watershed encompasses the Loch Lomond Reservoir watershed—were used to compare indirect estimates of storage loss to direct storage loss.</p><p>The 2019 survey resulted in a measured storage capacity of 8,770±50 acre-feet. The differences in storage between 2009 and 2019 varied substantially by depth. In shallow areas with depths less than 30 ft (at full reservoir), such as the very upstream end of the reservoir, storage loss (sediment deposition) dominated with a loss of about 68 acre-feet from 2009 to 2019. In areas deeper than 30 ft, persistent small storage gains over a wide range of depths totaled 82 acre-feet from 2009 to 2019.</p><p>Storage loss estimates derived from estimated watershed sediment yields and reservoir characteristics were similar to storage losses computed from past surveys. This hindcasting produced an estimate of about 500 acre-feet of total storage loss for the history of the reservoir, or an average of about 8–9 acre-feet/year during the 60-year period. For the period 2009–2019, the hindcast produced an estimated total storage loss of 42 acre-feet, which is broadly consistent with the 68 acre-feet of storage loss computed for shallow areas based on the repeat surveys.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215081","collaboration":"Prepared in cooperation with the city of Santa Cruz","programNote":"Water Availability and Use Science Program","usgsCitation":"Whealdon-Haught, D.R., Wright, S.A., and Marineau, M.D., 2021, Storage capacity and sedimentation characteristics of Loch Lomond Reservoir, California, 2019: U.S. Geological Survey Scientific Investigations Report 2021-5081, 28 p., https://doi.org/10.3133/sir20215081.","productDescription":"Report: vii, 28 p.; Data Release","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-120568","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":389073,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5081/covrthb.jpg"},{"id":389074,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5081/sir20215081.pdf","text":"Report","size":"7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":389075,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5081/sir20215081.xml"},{"id":389076,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5081/images"},{"id":389147,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91BUQWP","linkHelpText":"Loch Lomond Reservoir 2019 Survey Data"}],"country":"United States","state":"California","otherGeospatial":"Loch Lomond Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.07509994506836,\n              37.10091974583046\n            ],\n            [\n              -122.05415725708008,\n              37.10091974583046\n            ],\n            [\n              -122.05415725708008,\n              37.130897691327746\n            ],\n            [\n              -122.07509994506836,\n              37.130897691327746\n            ],\n            [\n              -122.07509994506836,\n              37.10091974583046\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Methods&nbsp;&nbsp;</li><li>Data Availability&nbsp;&nbsp;</li><li>Results&nbsp;&nbsp;</li><li>Discussion of Storage-Capacity Changes from 2009 to 2019&nbsp;&nbsp;</li><li>Discussion of Long-Term Reservoir Storage and Watershed Sediment Yield&nbsp;&nbsp;</li><li>Conclusions&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix 1. Bowman and Williams 2012 Memo to the City of Santa Cruz&nbsp;&nbsp;</li><li>Appendix 2. Bowman and Williams 2017 Memo to the City of Santa Cruz&nbsp;</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2021-09-13","noUsgsAuthors":false,"publicationDate":"2021-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Whealdon-Haught, Daniel R. 0000-0002-8923-1512","orcid":"https://orcid.org/0000-0002-8923-1512","contributorId":193160,"corporation":false,"usgs":false,"family":"Whealdon-Haught","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":823045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marineau, Mathieu D. 0000-0002-6568-0743 mmarineau@usgs.gov","orcid":"https://orcid.org/0000-0002-6568-0743","contributorId":4954,"corporation":false,"usgs":true,"family":"Marineau","given":"Mathieu","email":"mmarineau@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823047,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70226498,"text":"70226498 - 2021 - Assessment of multiple ecosystem metabolism methods in an estuary","interactions":[],"lastModifiedDate":"2021-11-22T13:21:39.355414","indexId":"70226498","displayToPublicDate":"2021-09-13T07:12:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9929,"text":"Limnology & Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of multiple ecosystem metabolism methods in an estuary","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Ecosystem metabolism is a key ecological attribute and easy to describe, but quantifying metabolism in estuaries is challenging. Properly scaling measurements through time and space requires consideration of hydrodynamics and mixing water from heterogeneous sources, making any estimation uncertain. Here, we compared three methods for modeling ecosystem metabolism in a portion of the Sacramento-San Joaquin Delta. Metabolism estimates based on laboratory incubations, continuous in situ buoys, and an oxygen isotope approach all indicated the system was net heterotrophic, and calculated rates were comparable in magnitude when averaged over the 2-month study. Daily metabolic rates based on in situ buoys were the most variable, likely due to horizontal and vertical advection and poor portrayal of the dissolved oxygen budget. After temporally averaging in situ buoy estimates or smoothing the dissolved oxygen time series for tidal effects, rates were more comparable to the other methods, which may be necessary to account for tidal advection and unbalanced contributions from subhabitats within the metabolic footprint. Incubation-based rates represent the finest temporal and spatial scale and only account for pelagic processes, which may explain why incubation-based rates were lower than the other two methods. The oxygen isotope method provided temporally and spatially integrated rates that were bracketed by the other two methods and may be a valuable tool in systems matching the model requirements. Because uncertainty arises in each method from a number of assumptions and scaling calculations, the resolution of metabolic rates in estuaries is likely coarser and more variable than in other aquatic ecosystems.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/lom3.10458","usgsCitation":"Loken, L.C., Van Nieuwenhuyse, E.E., Dahlgren, R.A., Kammel, L., Stumpner, P., Burau, J.R., and Sadro, S., 2021, Assessment of multiple ecosystem metabolism methods in an estuary: Limnology & Oceanography: Methods, v. 19, no. 11, p. 741-757, https://doi.org/10.1002/lom3.10458.","productDescription":"17 p.","startPage":"741","endPage":"757","ipdsId":"IP-128814","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":450828,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/05g263g3","text":"External Repository"},{"id":391974,"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              -122.6953125,\n              37.735969208590504\n            ],\n            [\n              -121.124267578125,\n              37.735969208590504\n            ],\n            [\n              -121.124267578125,\n              39.47860556892209\n            ],\n            [\n              -122.6953125,\n              39.47860556892209\n            ],\n            [\n              -122.6953125,\n              37.735969208590504\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Nieuwenhuyse, Erwin E 0000-0002-9032-2681","orcid":"https://orcid.org/0000-0002-9032-2681","contributorId":269423,"corporation":false,"usgs":false,"family":"Van Nieuwenhuyse","given":"Erwin","email":"","middleInitial":"E","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":827109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahlgren, Randy A 0000-0002-8961-875X","orcid":"https://orcid.org/0000-0002-8961-875X","contributorId":269424,"corporation":false,"usgs":false,"family":"Dahlgren","given":"Randy","email":"","middleInitial":"A","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":827110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kammel, Leah 0000-0003-4613-0858","orcid":"https://orcid.org/0000-0003-4613-0858","contributorId":211840,"corporation":false,"usgs":true,"family":"Kammel","given":"Leah","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stumpner, Paul 0000-0002-0933-7895 pstump@usgs.gov","orcid":"https://orcid.org/0000-0002-0933-7895","contributorId":5667,"corporation":false,"usgs":true,"family":"Stumpner","given":"Paul","email":"pstump@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burau, Jon R. 0000-0002-5196-5035 jrburau@usgs.gov","orcid":"https://orcid.org/0000-0002-5196-5035","contributorId":1500,"corporation":false,"usgs":true,"family":"Burau","given":"Jon","email":"jrburau@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827113,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sadro, Steven 0000-0002-6416-3840","orcid":"https://orcid.org/0000-0002-6416-3840","contributorId":139662,"corporation":false,"usgs":false,"family":"Sadro","given":"Steven","email":"","affiliations":[{"id":12871,"text":"Marine Science Institute, University of California, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":827114,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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