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P.","contributorId":248505,"corporation":false,"usgs":false,"family":"Sitar","given":"S.","email":"","middleInitial":"P.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":809277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vinson, Mark R. 0000-0001-5256-9539 mvinson@usgs.gov","orcid":"https://orcid.org/0000-0001-5256-9539","contributorId":3800,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark","email":"mvinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":809278,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70221873,"text":"70221873 - 2021 - Six decades of seismology at South Pole, Antarctica: Current limitations and future opportunities to facilitate new geophysical observations","interactions":[],"lastModifiedDate":"2021-09-14T16:26:07.790268","indexId":"70221873","displayToPublicDate":"2021-03-31T10:18:47","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Six decades of seismology at South Pole, Antarctica: Current limitations and future opportunities to facilitate new geophysical observations","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>Seismograms from the South Pole have been important for seismological observations for over six decades by providing (until 2007) the only continuous seismic records from the interior of the Antarctic continent. The South Pole, Antarctica station has undergone many updates over the years, including conversion to a digital recording station as part of the Global Seismographic Network (GSN) in 1991 and being relocated to multiple deep (<span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;gt;</mo><mn xmlns=&quot;&quot;>250</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>m</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mo\">&gt;</span><span id=\"MathJax-Span-4\" class=\"mn\">250</span><span id=\"MathJax-Span-5\" class=\"mtext\">  </span><span id=\"MathJax-Span-6\" class=\"mi\">m</span></span></span></span><span class=\"MJX_Assistive_MathML\">&gt;250  m</span></span>⁠</span>) boreholes 8&nbsp;km away from the station in 2003 (and renamed to Quiet South Pole, Antarctica [QSPA]). Notably, QSPA is the second most used GSN station by the National Earthquake Information Center to pick phases used to rapidly detect and locate earthquakes globally, and has been used for a variety of glaciological and oceanography studies. In addition, it is the only seismic station on the Earth where low‐frequency (<span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;lt;</mo><mn xmlns=&quot;&quot;>5</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>mHz</mi></math>\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-10\" class=\"mn\">5</span><span id=\"MathJax-Span-11\" class=\"mtext\">  </span><span id=\"MathJax-Span-12\" class=\"mi\">mHz</span></span></span></span><span class=\"MJX_Assistive_MathML\">&lt;5  mHz</span></span>⁠</span>), normal‐mode oscillations of the planet excited by large earthquakes can be recorded without influence from Earth’s rotation, and most of the direct effects of the solid Earth tide vanish. However, the current sensors are largely 1980s vintage, and, while able to make some lower‐frequency observations from earthquakes, the borehole sensors appear unable to resolve ambient ground motions at frequencies lower than 25&nbsp;mHz due to instrument noise and contamination from magnetic field variations. Recently developed borehole sensors offer the potential to extend background noise observations to below 3&nbsp;mHz, which would substantially improve the fidelity and scientific value of seismic observations at South Pole. Through collaboration with the IceCube Neutrino Observatory, the opportunity exists to emplace a modern very broadband seismometer near the base (<span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;gt;</mo><mn xmlns=&quot;&quot;>2</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>km</mi></math>\"><span id=\"MathJax-Span-13\" class=\"math\"><span><span id=\"MathJax-Span-14\" class=\"mrow\"><span id=\"MathJax-Span-15\" class=\"mo\">&gt;</span><span id=\"MathJax-Span-16\" class=\"mn\">2</span><span id=\"MathJax-Span-17\" class=\"mtext\">  </span><span id=\"MathJax-Span-18\" class=\"mi\">km</span></span></span></span><span class=\"MJX_Assistive_MathML\">&gt;2  km</span></span></span><span>&nbsp;</span>depth) of the Antarctic ice cap, which could lead to unprecedented seismic observations at long periods and facilitate a broad spectrum of Earth science studies.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200448","usgsCitation":"Anthony, R.E., Ringler, A.T., DuVernois, M., Anderson, K., and Wilson, D.C., 2021, Six decades of seismology at South Pole, Antarctica: Current limitations and future opportunities to facilitate new geophysical observations: Seismological Research Letters, v. 92, no. 5, p. 2718-2735, https://doi.org/10.1785/0220200448.","productDescription":"18 p.","startPage":"2718","endPage":"2735","ipdsId":"IP-126246","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":387115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"South Pole, Antarctica","volume":"92","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":819114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":819115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DuVernois, M. 0000-0002-2987-9691","orcid":"https://orcid.org/0000-0002-2987-9691","contributorId":260908,"corporation":false,"usgs":false,"family":"DuVernois","given":"M.","email":"","affiliations":[{"id":52707,"text":"Wisconsin IceCube Particle Astrophysics Center (WIPAC) & Department of Physics, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":819116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, K.","contributorId":255050,"corporation":false,"usgs":false,"family":"Anderson","given":"K.","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":819117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":819118,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70222075,"text":"70222075 - 2021 - Supporting the development and use of native plant materials for restoration on the Colorado Plateau (Fiscal Year 2020 Report)","interactions":[],"lastModifiedDate":"2021-07-16T15:23:48.798496","indexId":"70222075","displayToPublicDate":"2021-03-31T10:17:15","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":3,"text":"Annual Report","active":false,"publicationSubtype":{"id":1}},"title":"Supporting the development and use of native plant materials for restoration on the Colorado Plateau (Fiscal Year 2020 Report)","docAbstract":"<p>A primary focus of the Colorado Plateau Native Plant Program (CPNPP) is to identify and develop appropriate native plant materials (NPMs) for current and future restoration projects. Multiple efforts have characterized the myriad challenges inherent in providing appropriate seed resources to enable effective, widespread restoration and have identified a broad suite of research activities to provide the information necessary to overcome those challenges (e.g., Plant Conservation Alliance 2015; Breed et al. 2018; Winkler et al. 2018). Many of the most complex information needs relate to identifying the appropriate sources of plant species that can successfully establish in dryland environments, like the Colorado Plateau, where precipitation is generally low and highly variable. Providing this information requires synergistic research efforts that build upon insight gained from earlier investigations. The U.S. Geological Survey (USGS) Southwest Biological Science Center’s (SBSC’s) research activities that supported CPNPP in FY20 followed the FY20 Statement of Work to support a research framework that is continually adapting based on the needs of the restoration community and results from previous investigations; the long-term research framework is outlined in the 2019-2023 5-Year Research Strategy (hereafter referred to as the 5-year plan). This research framework provides support for the National Seed Strategy for Rehabilitation and Restoration (Plant Conservation Alliance, 2015), Department of Interior Secretarial Order #3347 (<i>Conservation Stewardship and Outdoor Recreation</i>), and Bureau of Land Management Leadership Priority #1 (<i>Create a conservation stewardship legacy second only to Teddy </i><i>Roosevelt</i>).<br></p><p>Research activities in FY20 centered on landscape genomics, implementing a common garden experiment near Vernal, UT, conducting experimental treatments using the GRID (Germination for Restoration Information and Decision-making) framework, and collecting seeds and leaf tissues in the field in preparation for future experiments. These activities were supported by five biological science technicians. The SARS-CoV-2 pandemic delayed some aspects of the FY20 workplan, especially for contract laboratory services and the construction of the GRID garden in Flagstaff, AZ. However, goals were largely met, and the overall progress of research remains on track with respect to the 5-year plan. While Dr. Rob Massatti was the only scientist supported by the SBSC-CPNPP agreement in FY20, other scientists, including Drs. John Bradford, Seth Munson, Mike Duniway, Sasha Reed, Matt Jones, and Daniel Winkler, spent a considerable amount of time providing expertise and support for individual projects. Work activities performed in support of each goal are discussed in turn.</p>","language":"English","publisher":"Bureau of Land Management","usgsCitation":"Massatti, R., Winkler, D.E., Reed, S., Duniway, M.C., Munson, S.M., and Bradford, J., 2021, Supporting the development and use of native plant materials for restoration on the Colorado Plateau (Fiscal Year 2020 Report): Annual Report, 15 p.","productDescription":"15 p.","ipdsId":"IP-127773","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":387230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":387222,"type":{"id":11,"text":"Document"},"url":"https://www.blm.gov/sites/blm.gov/files/docs/2021-07/CPNPP_USGS_FY20_AnnualReport_0.pdf"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","otherGeospatial":"Colorado Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.20361328125,\n              40.66397287638688\n            ],\n            [\n              -113.97216796875,\n              36.12012758978146\n            ],\n            [\n              -114.3017578125,\n              35.47856499535729\n            ],\n            [\n              -112.12646484375,\n              34.03445260967645\n            ],\n            [\n              -108.80859375,\n              33.119150226768866\n            ],\n            [\n              -107.77587890625,\n              33.26624989076275\n            ],\n            [\n              -106.3916015625,\n              34.66935854524543\n            ],\n            [\n              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0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":819441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":819442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":819443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":819444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":819445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":819446,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228178,"text":"70228178 - 2021 - Long-term salinity change and growth of the harmful alga, Prymnesium parvum","interactions":[],"lastModifiedDate":"2022-02-07T16:35:40.557042","indexId":"70228178","displayToPublicDate":"2021-03-31T10:15:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2422,"text":"Journal of Phycology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Long-term salinity change and growth of the harmful alga, <i>Prymnesium parvum</i>","title":"Long-term salinity change and growth of the harmful alga, Prymnesium parvum","docAbstract":"<p><i>Prymnesium parvum</i><span>&nbsp;is a euryhaline, toxin-producing microalga. Although its abundance in inland waters and growth potential in the laboratory is reduced at high salinity (&gt;20), the ability of inland strains to adjust their growth after long-term residence in high salinity is uncertain. An inland strain of&nbsp;</span><i>P.&nbsp;parvum</i><span>&nbsp;maintained at salinity of 5 in modified artificial seawater medium (ASM-5) was subjected to the following treatments over five sequential batch culture rounds: ASM-5 (control); modified ASM at salinity of 30, raised with NaCl; modified ASM at salinity incrementally increased to 30 with NaCl; and Instant Ocean</span><sup>®</sup><span>&nbsp;at salinity of 30 (IO-30). Exponential growth rate (</span><i>r</i><span>) was reduced when salinity was increased from 5 to 30 in ASM but returned to control values during the second round. When salinity was incrementally increased, a reduction in&nbsp;</span><i>r</i><span>&nbsp;still occurred when salinity reached 25-30. Maximum density was reduced at salinity of 30 in ASM upon abrupt transfer or incremental increase, and compensation did not occur. Growth performance in IO-30 was comparable to control values. In conclusion, (i) long-term compensation for acute inhibitory effects of high salinity occurred for&nbsp;</span><i>r</i><span>&nbsp;but not maximum density, (ii) incremental increases in salinity did not prevent growth inhibition, suggesting the existence of a salinity threshold of 25–30 for onset of salinity stress, and (iii) the presence of a seawater-like salt mixture prevented growth inhibition by high salinity. These findings provide new insights on&nbsp;</span><i>P.&nbsp;parvum</i><span>'s long-term ability to adjust its growth in environments of different salinity and ionic composition.</span></p>","language":"English","publisher":"Phycological Society of America","doi":"10.1111/jpy.13172","usgsCitation":"Richardson, E.T., and Patino, R., 2021, Long-term salinity change and growth of the harmful alga, Prymnesium parvum: Journal of Phycology, v. 57, no. 4, p. 1335-1344, https://doi.org/10.1111/jpy.13172.","productDescription":"10 p.","startPage":"1335","endPage":"1344","ipdsId":"IP-109389","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Richardson, Emily T.","contributorId":274795,"corporation":false,"usgs":false,"family":"Richardson","given":"Emily","email":"","middleInitial":"T.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":833318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833317,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70240143,"text":"70240143 - 2021 - Linear deconvolution applied to ASTER imagery of terrestrial dune analog sites","interactions":[],"lastModifiedDate":"2023-02-01T16:13:20.813294","indexId":"70240143","displayToPublicDate":"2021-03-31T10:10:27","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Linear deconvolution applied to ASTER imagery of terrestrial dune analog sites","docAbstract":"<p>Advanced Spaceborne Thermal Emission and Reflec-tion (ASTER) radiometer onboard NASA’s Terra satellite has nearly complete global coverage in the 8 – 14 µm thermal infrared (TIR) atmospheric window and is the highest resolution sensor providing TIR emissivity data at 90-m spatial resolution and five multispectral bands. ASTER imagery enables mapping of spatial variations in the distribution of mineral abundances across terrestrial dune fields. We compared simulated ASTER emissivity spectra derived from higher resolution laboratory measurements, with those simulated for various higher and lower resolution multispectral and hyperspectral sensors. Linear deconvolution was then applied to simulated ASTER as well as seven other convoluted laboratory spectral measurements of eight samples that we collected from seven different dune fields throughout the Western United States and Alaska: (1) Algodones, CA; (2) Big Dune, NV; (3) Bruneau, ID; (4) Great Kobuk Sand Dunes (GKSD), AK; (5) Great Sand Dunes National Park and Preserve (GSDNPP), CO; (6) Sunset Crater, AZ; and (7) White Sands National Monument, NM. We evaluate the utility of each of these seven dune fields as potential Martian aeolian analog sites by comparing their compositional similarities and differ-ences between morphologically similar dune land-forms found on Mars.</p>","conferenceTitle":"52nd Lunar and Planetary Science Conference (LPSC)","conferenceDate":"Mar 15-19, 2021","conferenceLocation":"Virtual","language":"English","publisher":"Lunar and Planetary Institute","usgsCitation":"Hooper, D.M., and Hubbard, B.E., 2021, Linear deconvolution applied to ASTER imagery of terrestrial dune analog sites, 52nd Lunar and Planetary Science Conference (LPSC), Virtual, Mar 15-19, 2021, 2474, 2 p.","productDescription":"2474, 2 p.","ipdsId":"IP-125563","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":412536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":412535,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.hou.usra.edu/meetings/lpsc2021/pdf/lpsc2021_program.htm","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hooper, Donald M.","contributorId":197205,"corporation":false,"usgs":false,"family":"Hooper","given":"Donald","email":"","middleInitial":"M.","affiliations":[{"id":35997,"text":"Southwest Research Institute, San Antonio, TX","active":true,"usgs":false},{"id":35998,"text":"WEX Foundation","active":true,"usgs":false}],"preferred":false,"id":862752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubbard, Bernard E. 0000-0002-9315-2032","orcid":"https://orcid.org/0000-0002-9315-2032","contributorId":213146,"corporation":false,"usgs":true,"family":"Hubbard","given":"Bernard","email":"","middleInitial":"E.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":862753,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70222365,"text":"70222365 - 2021 - Vegetation community monitoring: Species composition and biophysical gradients in Klamath Network parks","interactions":[],"lastModifiedDate":"2021-07-23T15:01:22.420272","indexId":"70222365","displayToPublicDate":"2021-03-31T09:57:17","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/KLMN/NRR—2021/2236","title":"Vegetation community monitoring: Species composition and biophysical gradients in Klamath Network parks","docAbstract":"<p>The Klamath Network of the National Park Service consists of six park units located in northern California and southern Oregon. The Network began implementing a vegetation monitoring protocol in 2011 to identify ecologically significant vegetation trends in the parks. The premise of the protocol is that multivariate analyses of species composition data is the most robust early detection means for identifying vegetation change over time. Here we present these community metrics, based on our initial sampling efforts. We use these metrics to establish a baseline for comparison in future trend analysis, and to evaluate the adequacy of the protocol for meeting the Network’s objectives of detecting temporal changes across contrasting vegetation types. </p><p>The park landscapes were subdivided into three strata: Matrix (low- to mid-elevation upland habitats), Riparian (within 10 meters of a perennial stream), and High-Elevation (above a predefined elevation, park specific). Across the three strata, we established a total of 241 permanent plots at random locations to measure complete species composition and cover. We describe baseline biophysical conditions and relate them to the data obtained from all 241 plots using ordination analyses. The unconstrained gradient analyses were moderately robust at illustrating the relationships among plots and correlating them to environmental gradients. We also prepared species accumulation curves representing gamma diversity, which showed overall species richness, and also illustrated how well the observed vs. expected richness values of each stratum were captured by the sampling. Most park/strata were well sampled; for others, we found that additional samples would improve how well the protocol captures the vegetation composition within park/strata. Specifically, all sample frames at Whiskeytown and the High-Elevation sample frames at Lassen were not well sampled. Comparisons of alpha diversity values showed High-Elevations had the lowest diversity, while Riparian areas were by far the most diverse across all parks. The Matrix stratum at Oregon Caves National Monument was also especially diverse and had the highest Matrix alpha diversity we observed in all parks We suggest that after three rounds of sampling, the Network perform analyses to identify possible ways to improve statistical power. These options include adding sites or lengthening the sampling interval. Results of these analyses could support protocol modifications. This report on vegetation composition is the first in a series of analysis and synthesis reports. Future analysis and synthesis reports will analyze structure and function.</p>","language":"English","publisher":"National Park Service","doi":"10.36967/nrr-2284769","usgsCitation":"Smith, S.B., van Mantgem, P., and Odion, D., 2021, Vegetation community monitoring: Species composition and biophysical gradients in Klamath Network parks: Natural Resource Report NPS/KLMN/NRR—2021/2236, x, 64 p., https://doi.org/10.36967/nrr-2284769.","productDescription":"x, 64 p.","ipdsId":"IP-107362","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":387397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath Network National Parks","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.541015625,\n              40.43022363450862\n            ],\n            [\n              -120.673828125,\n              40.43022363450862\n            ],\n            [\n              -120.673828125,\n              43.59630591596548\n            ],\n            [\n              -124.541015625,\n              43.59630591596548\n            ],\n            [\n              -124.541015625,\n              40.43022363450862\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Sean B.","contributorId":168621,"corporation":false,"usgs":false,"family":"Smith","given":"Sean","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":819764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, Phillip J. 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":819765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Odion, Dennis","contributorId":168618,"corporation":false,"usgs":false,"family":"Odion","given":"Dennis","affiliations":[],"preferred":false,"id":819766,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70223888,"text":"70223888 - 2021 - Regional-scale variability in the movement ecology of marine fishes revealed by an integrative acoustic tracking network","interactions":[],"lastModifiedDate":"2021-09-13T14:00:38.859827","indexId":"70223888","displayToPublicDate":"2021-03-31T08:55:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Regional-scale variability in the movement ecology of marine fishes revealed by an integrative acoustic tracking network","docAbstract":"<p><span>Marine fish movement plays a critical role in ecosystem functioning and is increasingly studied with acoustic telemetry. Traditionally, this research has focused on single species and small spatial scales. However, integrated tracking networks, such as the Integrated Tracking of Aquatic Animals in the Gulf of Mexico (iTAG) network, are building the capacity to monitor multiple species over larger spatial scales. We conducted a synthesis of passive acoustic monitoring data for 29 species (889 transmitters), ranging from large top predators to small consumers, monitored along the west coast of Florida, USA, over 3 yr (2016-2018). Space use was highly variable, with some groups using all monitored areas and others using only the area where they were tagged. The most extensive space use was found for Atlantic tarpon&nbsp;</span><i>Megalops atlanticus</i><span>&nbsp;and bull sharks&nbsp;</span><i>Carcharhinus leucas</i><span>. Individual detection patterns clustered into 4 groups, ranging from occasionally detected long-distance movers to frequently detected juvenile or adult residents. Synchronized, alongshore, long-distance movements were found for Atlantic tarpon, cobia&nbsp;</span><i>Rachycentron canadum</i><span>, and several elasmobranch species. These movements were predominantly northbound in spring and southbound in fall. Detections of top predators were highest in summer, except for nearshore Tampa Bay where the most detections occurred in fall, coinciding with large red drum&nbsp;</span><i>Sciaenops ocellatus</i><span>&nbsp;spawning aggregations. We discuss the future of collaborative telemetry research, including current limitations and potential solutions to maximize its impact for understanding movement ecology, conducting ecosystem monitoring, and supporting fisheries management.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps13637","usgsCitation":"Friess, C., Lowerre-Barbieri, S.K., Poulakis, G.R., Hammerschlag, N., Gardiner, J.M., Kroetz, A.M., Bassos-Hull, K., Bickford, J., Bohaboy, E.C., Ellis, R., Menendez, H., Patterson, W.F., Price, M.E., Rehage, J., Shea, C.P., Smukall, M.J., Walters Burnsed, S., Wilkinson, K.A., Young, J., Collins, A.B., DeGroot, B.C., Peterson, C.T., Purtlebaugh, C., Randall, M.T., Scharer, R.M., Schloesser, R.W., Wiley, T.R., Alvarez, G.A., Danylchuk, A.J., Fox, A.G., Hill, A., Grubbs, R.D., Locascio, J.V., O’Donnell, P.M., Skomal, G.B., Whoriskey, F.G., and Griffin, L.P., 2021, Regional-scale variability in the movement ecology of marine fishes revealed by an integrative acoustic tracking network: Marine Ecology Progress Series, v. 663, p. 157-177, https://doi.org/10.3354/meps13637.","productDescription":"21 p.","startPage":"157","endPage":"177","ipdsId":"IP-122154","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":452861,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/49131","text":"External Repository"},{"id":389144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"663","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Lowerre-Barbieri, Susan 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R.","contributorId":265609,"corporation":false,"usgs":false,"family":"Poulakis","given":"Gregg","email":"","middleInitial":"R.","affiliations":[{"id":54731,"text":"Charlotte Harbor Field Laboratory, Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":823098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammerschlag, Neil","contributorId":213059,"corporation":false,"usgs":false,"family":"Hammerschlag","given":"Neil","email":"","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":823099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gardiner, Jayne M.","contributorId":265610,"corporation":false,"usgs":false,"family":"Gardiner","given":"Jayne","email":"","middleInitial":"M.","affiliations":[{"id":54732,"text":"Division of Natural Sciences, New College of 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,{"id":70227639,"text":"70227639 - 2021 - Angler-caught salmonid diets illustrate Lake Ontario Alewife population and predator-prey dynamics","interactions":[],"lastModifiedDate":"2022-01-24T14:38:58.021942","indexId":"70227639","displayToPublicDate":"2021-03-31T08:19:39","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":7577,"text":"Annual Report","active":true,"publicationSubtype":{"id":4}},"chapter":"16","title":"Angler-caught salmonid diets illustrate Lake Ontario Alewife population and predator-prey dynamics","docAbstract":"Lake Ontario fisheries decision makers use information about the status and trajectory of prey fish populations, such as alewife, for salmonid sport fish management. In 2020, the April bottom trawl survey, typically used to assess alewife, was canceled the day after it began due to Coronavirus health concerns. This prompted NYSDEC and USGS science teams to initiate a diet study using angler-collected samples to provide information on the alewife population in 2020. Over 800 salmonid diets were collected from across Lake Ontario southern shore from May through September. Past diet studies illustrated alewife size distribution in piscivore diets overlapped April trawl survey-based distributions (proportion overlap = 0.51- 0.81, n = 5). In 2020 few age-1 sized alewife (40 - 140 mm) were observed in salmonid diets, suggesting that 2019 alewife reproduction was below average. Given that alewife reproductive success from 2017 and 2018 were also below average, the 2021 Lake Ontario adult alewife population will likely be at a record low for the 43-year time series. For all years and piscivore species, adult-sized Alewife ( total length > 140 mm) were the predominate size consumed by piscivores greater than 400 mm (~ 16 inches). Sizes of alewife in the diet were positively related to piscivore size. Diet composition, by dry weight, indicated alewife remain the dominant prey supporting salmonids and diets were generally similar to trawl-based estimates of prey fish community composition. The most notable deviation from this pattern included round goby, which comprised substantial portions of brown trout and lake trout diets in 2013 and 2020. These results inform decision making related to Lake Ontario salmonid stocking and predator prey dynamics and highlight the utility of angler-caught piscivore diets for indicating alewife population status.","language":"English","publisher":"New York State Department of Environmental Conservation","usgsCitation":"Weidel, B., Minihkeim, S.P., Connerton, M., Legard, C., Farese, N., Osborne, C., and Lantry, J., 2021, Angler-caught salmonid diets illustrate Lake Ontario Alewife population and predator-prey dynamics: Annual Report, 13 p.","productDescription":"13 p.","startPage":"16-1","endPage":"16-13","ipdsId":"IP-129086","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":394755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":394742,"type":{"id":15,"text":"Index Page"},"url":"https://www.dec.ny.gov/outdoor/27068.html"}],"country":"Canada, United States","otherGeospatial":"Lake 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Center","active":true,"usgs":true}],"preferred":true,"id":831468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minihkeim, Scott P. 0000-0003-4958-2462","orcid":"https://orcid.org/0000-0003-4958-2462","contributorId":265808,"corporation":false,"usgs":true,"family":"Minihkeim","given":"Scott","email":"","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":831469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connerton, Michael","contributorId":251649,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":831470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Legard, Christopher","contributorId":272073,"corporation":false,"usgs":false,"family":"Legard","given":"Christopher","email":"","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":831471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farese, Nicholas","contributorId":272074,"corporation":false,"usgs":false,"family":"Farese","given":"Nicholas","email":"","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":831472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osborne, Christopher","contributorId":251651,"corporation":false,"usgs":false,"family":"Osborne","given":"Christopher","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":831473,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lantry, Jana","contributorId":141102,"corporation":false,"usgs":false,"family":"Lantry","given":"Jana","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":831474,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70220261,"text":"70220261 - 2021 - Habitat suitability index model improvement recommendations","interactions":[],"lastModifiedDate":"2021-04-29T13:20:08.027314","indexId":"70220261","displayToPublicDate":"2021-03-31T08:19:03","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Habitat suitability index model improvement recommendations","docAbstract":"As part of the model improvement effort for the 2023 Coastal Master Plan, the Habitat Suitability Index (HSI) models used during previous master plans were reevaluated to assess how the model relationships could be improved, and to determine what species should be included in the master plan analyses. This process considered the technical reviews, comments, and suggested improvements provided by model developers, advisory groups, and other experts during previous master plans. Reviews were then conducted to determine the availability of data and information that could be used to make model improvements. As a result of this effort, a recommended list of relevant species to model is provided, and HSI model improvements are recommended that are categorized by whether the suitability index (SI) relationship to be improved is statistical-based or literature-based. \n\nThe species recommended to be included in the 2023 Coastal Master Plan analyses are: eastern oyster, brown shrimp, white shrimp, blue crab, crayfish, gulf menhaden, spotted seatrout, largemouth bass, American alligator, gadwall, mottled duck, brown pelican, seaside sparrow, and bald eagle. These species were selected because they represent a range of taxonomies, life histories, trophic levels, and habitats, and most are commercially- or recreationally-important in coastal Louisiana. Most of these species were also included in the 2017 Coastal Master Plan analyses, and the models used during that effort should be further improved. Seaside sparrow and bald eagle are new for the master plan, and new models should be developed for the analyses. \n\nThe 2017 fish, shrimp, and blue crab HSI models included a water quality SI that was based on statistical analyses of species catch and environmental data collected by the Louisiana Department of Wildlife and Fisheries. As suggested during the 2017 Coastal Master Plan, the modeling approach used to develop the water quality SI was revisited and alternate modeling approaches were explored. Using literature and an evaluation of the general steps of model development, three components for HSI model improvement were identified, including 1) selecting alternative modeling approach(es); 2) detecting and resolving statistical issues; and 3) improving model fit and evaluation. Multiple options for each component were explored, which resulted in a proposed multi-step phased approach for model improvement. This proposed approach entails improving the generalized linear models used for the 2017 water quality SIs and then, if desired, comparing them to alternative model approaches (e.g., generalized additive models) to explore model performance and select the best approach to use for the 2023 Coastal Master Plan HSI models. \n\nAll of the existing master plan HSI models include literature-based SIs, which use information from published studies of species-habitat associations to derive suitability relationships. Similar to previous master plans, these literature-based SIs should be updated and improved for the 2023 Coastal Master Plan using recent literature and new ecological knowledge. Preliminary reviews were conducted and recent information was found that could be used to improve the eastern oyster, crayfish, and potentially brown pelican HSI models; but no appropriate recent literature was located for improvement of the American alligator, gadwall, and mottled duck HSI models. However, it is recommended that the literature reviews and information searches be continued. In addition to the statistical-based water quality SI, the 2017 fish, shrimp, and blue crab HSI models also included a structural habitat SI that was based on literature showing high densities of these species in fragmented marsh. The relationship used for this SI, however, did not account for the effects of other estuarine habitats, such as submerged aquatic vegetation and oyster reefs, which are also important to these species. Therefore, a meta-analysis approach is proposed that would estimate the relative importance of these habitats for each species, and the results of this analysis could be used to calculate a new structural habitat SI for the 2023 Coastal Master Plan.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2023 Coastal Master Plan","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Coastal Protection and Restoration Authority","usgsCitation":"Sable, S.E., Lindquist, D.C., D’Acunto, L., Hijuelos, A., LaPeyre, M.K., O'Connell, A., and Robinson, E.M., 2021, Habitat suitability index model improvement recommendations, 49 p.","productDescription":"49 p.","ipdsId":"IP-109817","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":385388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385374,"type":{"id":15,"text":"Index Page"},"url":"https://coastal.la.gov/our-plan/2023-coastal-master-plan/technical-resources/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sable, Shaye E.","contributorId":257728,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","email":"","middleInitial":"E.","affiliations":[{"id":52096,"text":"Dynamic Solutions, LLC","active":true,"usgs":false}],"preferred":false,"id":814922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindquist, David C.","contributorId":257729,"corporation":false,"usgs":false,"family":"Lindquist","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":814923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":814924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hijuelos, Ann 0000-0003-0922-6754","orcid":"https://orcid.org/0000-0003-0922-6754","contributorId":201525,"corporation":false,"usgs":true,"family":"Hijuelos","given":"Ann","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":814925,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":814926,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O'Connell, Ann M.","contributorId":257730,"corporation":false,"usgs":false,"family":"O'Connell","given":"Ann M.","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":814927,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, Elizabeth M.","contributorId":257731,"corporation":false,"usgs":false,"family":"Robinson","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":814928,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70220262,"text":"70220262 - 2021 - Habitat suitability index model improvements","interactions":[],"lastModifiedDate":"2021-04-29T13:18:04.649339","indexId":"70220262","displayToPublicDate":"2021-03-31T08:17:18","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Habitat suitability index model improvements","docAbstract":"Habitat suitability index (HSI) models were developed for the 2023 Coastal Master Plan to evaluate the potential effects of coastal restoration and protection projects on habitat for key coastal fish, shellfish, and wildlife species. These species included: eastern oyster, brown shrimp, white shrimp, blue crab, crayfish, gulf menhaden, spotted seatrout, largemouth bass, American alligator, gadwall, mottled duck, brown pelican, seaside sparrow, and bald eagle. Most of these species were included in the 2017 Coastal Master Plan analyses, and the HSI models from that effort were refined and improved following the recommendations described in the technical memorandum: 2023 Coastal Master Plan Habitat Suitability Index Model Improvement Recommendations (Sable et al., 2019). In addition to model improvements, HSI models were created for seaside sparrow and bald eagle, both of which are new species for the master plan analyses. \n\nFor the HSI models that are primarily literature-based, literature reviews were conducted for recent studies that could be used to improve the suitability index (SI) relationships that compose the models. As a result of this review, modifications were made to the salinity-related SIs of the oyster model including: expanding the time period used for salinity effects to spawning; adjusting the range of suitable annual average salinity to be more representative of Louisiana populations; and making oyster’s minimum salinity tolerance temperature dependent. In addition, a new SI was incorporated in the oyster HSI model that accounts for the effects of sediment deposition on oysters. The crayfish HSI model was improved by adjusting the time periods used for the SIs that describe the hydrology required for the crayfish life cycle, and the soil characteristics SI that was part of the 2017 crayfish model was removed because soil conditions do not appear to be limiting for crayfish burrow construction in coastal Louisiana. The other literature-based HSI models from the 2017 Coastal Master Plan, i.e., American alligator, gadwall, mottled duck, and brown pelican, were unchanged, with the exception of a small adjustment made to the suitability of forested wetlands for gadwall. Lastly, a literature-based HSI model was created for seaside sparrow that consists of SIs related to vegetated habitat type, marsh vegetation coverage, and marsh elevation. \n\nStatistical-based HSI models were developed for brown shrimp (both small and large juvenile stages), white shrimp (small and large juvenile stages), blue crab (juvenile stage), gulf menhaden (juvenile and adult stages), spotted seatrout (juvenile and adult stages), largemouth bass, and bald eagle. The bald eagle HSI model was developed from a bald eagle nest probability of occurrence model that related nest occurrence from survey data with land cover type. The resulting model showed that combinations of forested wetlands, flotant marsh, and open water habitats were most suitable for nesting bald eagles. The 2023 fish, shrimp, and blue crab HSI models were developed using new approaches for the formulation of the water quality and structural habitat SIs that compose the models. For the 2017 models, the water quality SI was derived using only generalized linear mixed models (GLMMs) to estimate the relationship between salinity, water temperature, and species’ catch. For the 2023 models, however, multiple GLMMs and generalized additive models (GAMMs) were created for each species or life stage. These alternative models were compared and a single model that performed well statistically and was ecologically reasonable was selected for the species’ water quality SI. The structural habitat SI was developed using a meta-analysis of published literature to estimate the relative importance of various estuarine habitats to the fish and shellfish species. The results of this analysis were then used to modify the 2017 structural habitat SI relationship to account for the added habitat value of submerged aquatic vegetation and oyster reefs, which are also important habitats for juvenile fish and shellfish. Similar to the 2017 fish, shrimp, and blue crab models, the water quality and structural habitat SIs were then combined to create the 2023 HSI models. \n\nThe 2023 Coastal Master Plan HSI models were integrated with the Integrated Compartment Model (and are referred to as ICM-HSIs) and tested using environmental output from the 2017 Coastal Master Plan Future Without Action scenario. The tests showed that, in general, the models produced reasonable representations of species’ habitat distribution. Furthermore, the improvements made to the oyster, crayfish, fish, shrimp, and blue crab HSI models generally yielded more realistic results compared to the 2017 HSI models.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2023 Coastal Master Plan","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Coastal Protection and Restoration Authority","usgsCitation":"Lindquist, D.C., Sable, S.E., D’Acunto, L., Hijuelos, A., Johnson, E.I., Langlois, S.R., Michel, N.L., Nakashima, L., O’Connell, A.M., Percy, K.L., and Robinson, E.M., 2021, Habitat suitability index model improvements, 189 p.","productDescription":"189 p.","ipdsId":"IP-124495","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":385387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385375,"type":{"id":15,"text":"Index Page"},"url":"https://coastal.la.gov/our-plan/2023-coastal-master-plan/technical-resources/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lindquist, David C.","contributorId":257729,"corporation":false,"usgs":false,"family":"Lindquist","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":814929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sable, Shaye E.","contributorId":257728,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","email":"","middleInitial":"E.","affiliations":[{"id":52096,"text":"Dynamic Solutions, LLC","active":true,"usgs":false}],"preferred":false,"id":814930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":814931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hijuelos, Ann 0000-0003-0922-6754","orcid":"https://orcid.org/0000-0003-0922-6754","contributorId":216667,"corporation":false,"usgs":true,"family":"Hijuelos","given":"Ann","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":814932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Erik I.","contributorId":257732,"corporation":false,"usgs":false,"family":"Johnson","given":"Erik","email":"","middleInitial":"I.","affiliations":[{"id":52099,"text":"Audubon Louisiana","active":true,"usgs":false}],"preferred":false,"id":814933,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langlois, Summer R.M","contributorId":257733,"corporation":false,"usgs":false,"family":"Langlois","given":"Summer","email":"","middleInitial":"R.M","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":814934,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Michel, Nicole L.","contributorId":257734,"corporation":false,"usgs":false,"family":"Michel","given":"Nicole","email":"","middleInitial":"L.","affiliations":[{"id":52101,"text":"Audubon Louisiana, National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":814935,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nakashima, Lindsay","contributorId":257735,"corporation":false,"usgs":false,"family":"Nakashima","given":"Lindsay","affiliations":[{"id":52099,"text":"Audubon Louisiana","active":true,"usgs":false}],"preferred":false,"id":814936,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"O’Connell, Ann M.","contributorId":257736,"corporation":false,"usgs":false,"family":"O’Connell","given":"Ann","email":"","middleInitial":"M.","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":814937,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Percy, Katie L.","contributorId":191722,"corporation":false,"usgs":false,"family":"Percy","given":"Katie","email":"","middleInitial":"L.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":814938,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robinson, Elizabeth M.","contributorId":257731,"corporation":false,"usgs":false,"family":"Robinson","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":814939,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70220122,"text":"70220122 - 2021 - Great American Outdoors Act Legacy Restoration Fund for National Parks: Economic impacts of fiscal year 2021 funding","interactions":[],"lastModifiedDate":"2021-04-21T13:10:38.726525","indexId":"70220122","displayToPublicDate":"2021-03-31T08:09:32","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Great American Outdoors Act Legacy Restoration Fund for National Parks: Economic impacts of fiscal year 2021 funding","docAbstract":"<p><span>The Great American Outdoors Act of 2020 (GAOA), P.L. 116-152, established the National Parks and Public Land Legacy Restoration Fund (LRF) to address priority deferred maintenance projects on National Park Service (NPS) and other federal lands. For the NPS, the LRF equates to receiving a maximum of $1.33 billion per year for fiscal years 2021 through 2025. Funding of this magnitude provides the NPS with the opportunity to reduce the maintenance backlog, protect critical resources, expand recreational opportunities, and focus on long-term sustainable operations for the next century. Use of these funds on NPS projects will also support jobs and business activity in local economies across the Nation. The purpose of this analysis is to present preliminary estimates of the economic impacts associated with the NPS Fiscal Year 2021 (FY21) projects supported by the LRF.</span></p>","language":"English","publisher":"National Park Service","collaboration":"National Park Service","usgsCitation":"Cullinane Thomas, C., and Koontz, L., 2021, Great American Outdoors Act Legacy Restoration Fund for National Parks: Economic impacts of fiscal year 2021 funding, iv, 7 p.","productDescription":"iv, 7 p.","ipdsId":"IP-127899","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":385245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385232,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2285117"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cullinane Thomas, Catherine 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":141097,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":814542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":814543,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70219236,"text":"70219236 - 2021 - A review of timing accuracy across the Global Seismographic Network","interactions":[],"lastModifiedDate":"2021-06-30T17:57:52.115563","indexId":"70219236","displayToPublicDate":"2021-03-31T07:53:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"A review of timing accuracy across the Global Seismographic Network","docAbstract":"<div><div class=\"article-section-wrapper js-article-section js-content-section  \"><p>The accuracy of timing across a seismic network is important for locating earthquakes as well as studies that use phase‐arrival information (e.g., tomography). The Global Seismographic Network (GSN) was designed with the goal of having reported timing be better than 10&nbsp;ms. In this work, we provide a brief overview of how timing is kept across the GSN and discuss how clock‐quality metrics are embedded in Standard for Exchange of Earthquake Data records. Specifically, blockette 1001 contains the timing‐quality field, which can be used to identify time periods when poor clock quality could compromise timing accuracy. To verify the timing across the GSN, we compare cross‐correlation lags between collocated sensors from 1 January 2000 to 1 January 2020. We find that the mean error is less than 10&nbsp;ms, with much of the difference likely coming from the method or uncertainty in the phase response of the instruments. This indicates that timing across the GSN is potentially better than 10&nbsp;ms. We conclude that unless clock quality is compromised (as indicated in blockette 1001), GSN data’s timing accuracy should be suitable for most current seismological applications that require 10&nbsp;ms accuracy. To assist users, the GSN network operators have implemented a “gsn_timing” metric available via the Incorporated Research Institutions for Seismology Data Management Center that helps users identify data with substandard timing accuracy (the 10&nbsp;ms design goal of the GSN).</p></div></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200394","usgsCitation":"Ringler, A.T., Anthony, R.E., Wilson, D.C., Auerbach, D., Bargabus, S., Davis, P., Gunnels, M., Hafner, K., Holland, J., Kearns, A., and Klimczak, E., 2021, A review of timing accuracy across the Global Seismographic Network: Seismological Research Letters, v. 92, no. 4, p. 2270-2281, https://doi.org/10.1785/0220200394.","productDescription":"12 p.","startPage":"2270","endPage":"2281","ipdsId":"IP-125699","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":384804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":813308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":813309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":813310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Auerbach, D.","contributorId":256837,"corporation":false,"usgs":false,"family":"Auerbach","given":"D.","email":"","affiliations":[{"id":17820,"text":"Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":813311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bargabus, S.","contributorId":256839,"corporation":false,"usgs":false,"family":"Bargabus","given":"S.","email":"","affiliations":[{"id":17820,"text":"Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":813312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, P.W.","contributorId":181744,"corporation":false,"usgs":false,"family":"Davis","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":813313,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gunnels, M.","contributorId":256842,"corporation":false,"usgs":false,"family":"Gunnels","given":"M.","email":"","affiliations":[{"id":51878,"text":"KBRwyle, Albuquerque Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":813314,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hafner, K.","contributorId":256844,"corporation":false,"usgs":false,"family":"Hafner","given":"K.","affiliations":[{"id":39228,"text":"Incorporated Research Institutions for Seismology","active":true,"usgs":false}],"preferred":false,"id":813315,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holland, James 0000-0002-6973-9722 jholland@usgs.gov","orcid":"https://orcid.org/0000-0002-6973-9722","contributorId":208248,"corporation":false,"usgs":true,"family":"Holland","given":"James","email":"jholland@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":813316,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kearns, A.","contributorId":208247,"corporation":false,"usgs":false,"family":"Kearns","given":"A.","email":"","affiliations":[{"id":37766,"text":"KBRwyle Technology Solutions Incorporated","active":true,"usgs":false}],"preferred":false,"id":813317,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Klimczak, E.","contributorId":256845,"corporation":false,"usgs":false,"family":"Klimczak","given":"E.","email":"","affiliations":[{"id":17820,"text":"Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":813318,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70222102,"text":"70222102 - 2021 - Enhanced between-site biosecurity to minimize herpetofaunal disease-causing pathogen transmission","interactions":[],"lastModifiedDate":"2021-07-20T12:34:43.593633","indexId":"70222102","displayToPublicDate":"2021-03-31T07:33:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced between-site biosecurity to minimize herpetofaunal disease-causing pathogen transmission","docAbstract":"Pathogens and their associated diseases have the potential to severely affect wildlife populations, including herpetofauna. Concern is increasing for transmission pathways of herpetofaunal diseases, especially for amphibians affected by the fungal pathogens Batrachochytrium dendrobatidis (Bd: Longcore et al. 1999) and B. salamandrivorans (Bsal: Martel et al. 2013), and amphibians and reptiles affected by Iridoviruses of the genus Ranavirus (Rv: Gray and Chinchar 2015) for which global human-mediated pathogen transmission is increasingly implicated (e.g., Fisher and Garner 2007; Picco and Collins 2008; Walker et al. 2008; Schloegel et al. 2009; Auliya et al. 2016; Martel et al. 2013, 2014; Fisher et al. 2012; Nguyen et al. 2017; O’Hanlon et al. 2018). Preventing the novel introductions of emerging infectious diseases is of paramount importance (Gray et al. 2015; Grant et al. 2016), as once they gain a foothold, they can be “essentially unstoppable” (Fisher et al. 2012). In order to minimize anthropogenic influences on disease dynamics, biosecurity procedures and decision-support systems for biosecurity prioritization have been developed. In general, such procedures for herpetofaunal emerging infectious diseases have been framed relative to the stages of pathogen emergence (pre-arrival, invasion front, epidemic, and establishment: e.g., Garner et al. 2016; Grant et al. 2017) as well as the intertwining contexts of herpetological research, natural resource management activities, integrated biodiversity conservation practices, and the human dimension of transmission of novel pathogens, (e.g., Gray et al. 2018; More et al. 2018).","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Olson, D., Haman, K.H., Gray, M.J., Harris, R.N., Thompson, T., Iredale, M., Christman, M., Williams, J.M., Adams, M.J., and Ballard, J.R., 2021, Enhanced between-site biosecurity to minimize herpetofaunal disease-causing pathogen transmission: Herpetological Review, v. 52, no. 1, p. 29-39.","productDescription":"11 p.","startPage":"29","endPage":"39","ipdsId":"IP-106383","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":387299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":387270,"type":{"id":15,"text":"Index Page"},"url":"https://parcplace.org/wp-content/uploads/2021/04/Olson-et-al-2021-Enhanced-between-site-biosecurity.pdf"}],"volume":"52","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Olson, Deanna H.","contributorId":257261,"corporation":false,"usgs":false,"family":"Olson","given":"Deanna H.","affiliations":[{"id":51996,"text":"USDA Forest Service Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":819522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haman, Katherine H.","contributorId":173443,"corporation":false,"usgs":false,"family":"Haman","given":"Katherine","email":"","middleInitial":"H.","affiliations":[{"id":27230,"text":"Washington Department of  Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":819523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Matthew J.","contributorId":206862,"corporation":false,"usgs":false,"family":"Gray","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":37419,"text":"University of Tennessee Institute of Agriculture","active":true,"usgs":false}],"preferred":false,"id":819524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Reid N.","contributorId":206861,"corporation":false,"usgs":false,"family":"Harris","given":"Reid","email":"","middleInitial":"N.","affiliations":[{"id":16809,"text":"James Madison University","active":true,"usgs":false}],"preferred":false,"id":819525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Tracy","contributorId":261223,"corporation":false,"usgs":false,"family":"Thompson","given":"Tracy","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":819526,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Iredale, Marley","contributorId":261225,"corporation":false,"usgs":false,"family":"Iredale","given":"Marley","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":819527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christman, Michelle","contributorId":261227,"corporation":false,"usgs":false,"family":"Christman","given":"Michelle","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":819528,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Jennifer M.","contributorId":169811,"corporation":false,"usgs":false,"family":"Williams","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":819529,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":819530,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ballard, Jennifer R.","contributorId":127726,"corporation":false,"usgs":false,"family":"Ballard","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":819531,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70224314,"text":"70224314 - 2021 - Shift of potential natural vegetation against global climate change under historical, current and future scenarios","interactions":[],"lastModifiedDate":"2024-05-17T16:14:35.403614","indexId":"70224314","displayToPublicDate":"2021-03-31T07:30:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3229,"text":"Rangeland Journal","active":true,"publicationSubtype":{"id":10}},"title":"Shift of potential natural vegetation against global climate change under historical, current and future scenarios","docAbstract":"<div class=\"journal-abstract green-item\"><p>Potential natural vegetation (PNV), the final successional stage of vegetation, plays a key role in ecological restoration, the design of nature reserves, and development of agriculture and livestock production. Meteorological data from historical and current periods including the last inter-glacial (LIG), last glacial maximum (LGM), mid Holocene (MH) periods and the present day (PD), plus derived data from 2050 and 2070, in conjunction with the Comprehensive and Sequential Classification System (CSCS) model, were used to classify global PNV. The 42 classes of global PNV were regrouped into 10 groups to facilitate analysis of spatial changes. Finally, spatio-temporal patterns and successional processes of global PNV as well as the response to climate changes were analysed. Our study made the following five conclusions. (1) Only one missing class (IA1 frigid-extrarid frigid desert, alpine desert) arose in periods of LIG, MH, 2050, and 2070 for global PNV. (2) The frigid-arid groups were mainly distributed in higher latitudes and elevations, but temperate-humid groups and tropical-perhumid groups occurred in middle and low latitudes, respectively. Temperate zonal forest steppe, warm desert, savanna and tropical zonal forest steppe increased, while six other groups decreased. (3) The conversion from temperate zonal forest steppe to tundra and alpine steppe from LIG to LGM occupied the largest area, indicating a drastic shift in climate and the associated response of terrestrial vegetation sensitive to climate change. (4) The CSCS could be used to simulate the long-term succession of global PNV. (5) As a consequence of global warming, forests shifted to the northern hemisphere and Tibet, areas with much higher latitude and elevation. The PNV groups with greater shift distance revealed the more serious effects of global climate change on vegetation.</p></div>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/RJ20092","usgsCitation":"Ren, Z., Zhu, H., Shi, H., and Liu, X., 2021, Shift of potential natural vegetation against global climate change under historical, current and future scenarios: Rangeland Journal, v. 43, no. 5 & 6, p. 309-319, https://doi.org/10.1071/RJ20092.","productDescription":"11 p.","startPage":"309","endPage":"319","ipdsId":"IP-122812","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":389532,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5 & 6","noUsgsAuthors":false,"publicationDate":"2021-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Ren, Zhengchao 0000-0002-5235-931X","orcid":"https://orcid.org/0000-0002-5235-931X","contributorId":265912,"corporation":false,"usgs":false,"family":"Ren","given":"Zhengchao","email":"","affiliations":[{"id":54821,"text":"College of Pratacultural Science, Gansu Agricultural University","active":true,"usgs":false}],"preferred":false,"id":823701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Huazhong 0000-0003-0054-8220","orcid":"https://orcid.org/0000-0003-0054-8220","contributorId":265913,"corporation":false,"usgs":false,"family":"Zhu","given":"Huazhong","email":"","affiliations":[{"id":54822,"text":"Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science","active":true,"usgs":false}],"preferred":false,"id":823702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":823703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Xiaoni","contributorId":265914,"corporation":false,"usgs":false,"family":"Liu","given":"Xiaoni","email":"","affiliations":[{"id":54821,"text":"College of Pratacultural Science, Gansu Agricultural University","active":true,"usgs":false}],"preferred":false,"id":823704,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70224551,"text":"70224551 - 2021 - Riparian area changes in greenness and water use on the Lower Colorado River in the USA from 2000-2020","interactions":[],"lastModifiedDate":"2025-12-11T22:15:33.73473","indexId":"70224551","displayToPublicDate":"2021-03-31T07:26:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Riparian area changes in greenness and water use on the Lower Colorado River in the USA from 2000-2020","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Declines in riparian ecosystem greenness and water use have been observed in the delta of the Lower Colorado River (LCR) since 2000. The purpose of our case study was to measure these metrics on the U.S. side of the border between Hoover and Morelos Dams to see if declining greenness was unique to the portion of the river in Mexico. In this case study, five riparian reaches of the LCR from Hoover to Morelos Dam since 2000 were studied to evaluate trends in riparian ecosystem health. We measure these riparian woodlands using remotely sensed measurements of the two-band Enhanced Vegetation Index (EVI2; a proxy for greenness); daily evapotranspiration (ET; mmd<sup>−1</sup>) using EVI2 (ET(EVI2)); and an annualized ET based on EVI2, the Phenology Assessment Metric (PAM ET), an annualized ET using Landsat time-series. A key finding is that riparian health and its water use has been in decline since 2000 on the U.S. portion of the LCR, depicting a loss of green vegetation over the last two decades. EVI2 results show a decline of −13.83%, while average daily ET(EVI2) between the first and last decade had a decrease of over 1 mmd<sup>−1</sup><span>&nbsp;</span>(−27.30%) and the respective average PAM ET losses were 170.91 mmyr<sup>−1</sup><span>&nbsp;</span>(−17.95%). The difference between the first and last five-year periods, 2000–2005 and 2016–2020, showed the largest decrease in daily ET(EVI) of 1.24 mmd<sup>−1</sup><span>&nbsp;</span>(−32.61%). These declines come from a loss in healthy, green, riparian plant-cover, not a change in plant water use efficiency nor efficient use of managed water resources. Our results suggest further deterioration of biodiversity, wildlife habitat and other key ecosystem services on the U.S. portion of the LCR.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"MDPI","doi":"10.3390/rs13071332","usgsCitation":"Nagler, P.L., Barreto-Muñoz, A., Borujeni, S.C., Nouri, H., Jarchow, C., and Didan, K., 2021, Riparian area changes in greenness and water use on the Lower Colorado River in the USA from 2000-2020: Remote Sensing, v. 13, no. 7, 1332, 48 p.; Data Release, https://doi.org/10.3390/rs13071332.","productDescription":"1332, 48 p.; Data Release","ipdsId":"IP-125535","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":452865,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs13071332","text":"Publisher Index Page"},{"id":436426,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MIPBRP","text":"USGS data release","linkHelpText":"Colorado River Project: A compilation of vegetation indices, phenology assessment metrics, estimates of evapotranspiration and change maps for five reaches between Hoover and Morelos Dams on the Lower Colorado River, for nearly the last two decades"},{"id":389803,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California","otherGeospatial":"Lower Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.9169921875,\n              32.509761735919426\n            ],\n            [\n              -113.90625,\n              32.509761735919426\n            ],\n            [\n              -113.90625,\n              35.38904996691167\n            ],\n            [\n              -114.9169921875,\n              35.38904996691167\n            ],\n            [\n              -114.9169921875,\n              32.509761735919426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":824040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barreto-Muñoz, Armando","contributorId":239891,"corporation":false,"usgs":false,"family":"Barreto-Muñoz","given":"Armando","affiliations":[{"id":48028,"text":"University of Arizona, Biosystems Engineering, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":824041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borujeni, Sattar Chavoshi","contributorId":240671,"corporation":false,"usgs":false,"family":"Borujeni","given":"Sattar","email":"","middleInitial":"Chavoshi","affiliations":[],"preferred":false,"id":824042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nouri, Hamideh","contributorId":178847,"corporation":false,"usgs":false,"family":"Nouri","given":"Hamideh","affiliations":[],"preferred":false,"id":824043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jarchow, Christopher J. 0000-0002-0424-4104","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":211737,"corporation":false,"usgs":false,"family":"Jarchow","given":"Christopher J.","affiliations":[{"id":38314,"text":"USGS Southwest Biological Science Center, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":824044,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Didan, Kamel","contributorId":130999,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","email":"","affiliations":[{"id":7204,"text":"University of Arizona, Electrical and Computer Engineering","active":true,"usgs":false}],"preferred":false,"id":824045,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219604,"text":"70219604 - 2021 - Relative energy production determines effect of repowering on wildlife mortality at wind energy facilities","interactions":[],"lastModifiedDate":"2021-06-30T18:44:02.059621","indexId":"70219604","displayToPublicDate":"2021-03-31T07:23:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8124,"text":"Journal of Appllied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Relative energy production determines effect of repowering on wildlife mortality at wind energy facilities","docAbstract":"<ol class=\"\"><li>Reduction in wildlife mortality is often cited as a potential advantage to repowering wind facilities, that is, replacing smaller, lower capacity, closely spaced turbines, with larger, higher capacity ones, more widely spaced. Wildlife mortality rates, however, are affected by more than just size and spacing of turbines, varying with turbine operation, seasonal and daily weather and habitat, all of which can confound our ability to accurately measure the effect of repowering on wildlife mortality rates.</li><li>We investigated the effect of repowering on wildlife mortality rates in a study conducted near Palm Springs, CA. We controlled for confounding effects of weather and habitat by measuring turbine‐caused wildlife mortality rates over a range of turbine sizes and spacing, all within the same time period, habitat and local weather conditions. We controlled for differences in turbine operation by standardizing mortality rate per unit energy produced.</li><li>We found that avian and bat mortality rate was constant per unit of energy produced, across all sizes and spacings of turbines.</li><li><i>Synthesis and applications</i>. In the context of repowering a wind facility, our results suggest that the relative amount of energy produced, rather than simply the size, spacing or nameplate capacity of the replacement turbines, determines the relative rate of mortality prior to and after repowering. Consequently, in a given location, newer turbines would be expected to be less harmful to wildlife only if they produced less energy than the older models they replace. The implications are far‐reaching as 18% of US and 8% of world‐wide wind power capacity will likely be considered for repowering within ~5&nbsp;years.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.13853","usgsCitation":"Huso, M., Conkling, T., Dalthorp, D., Davis, M.J., Smith, H., Fesnock-Parker, A., and Katzner, T., 2021, Relative energy production determines effect of repowering on wildlife mortality at wind energy facilities: Journal of Appllied Ecology, v. 58, no. 6, p. 1284-1290, https://doi.org/10.1111/1365-2664.13853.","productDescription":"7 p.","startPage":"1284","endPage":"1290","ipdsId":"IP-119959","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":452868,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13853","text":"Publisher Index Page"},{"id":436427,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VV1Z3E","text":"USGS data release","linkHelpText":"San Gorgonio Pass Wind Resource Area Repower Data (2018-2019)"},{"id":385114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Palm Springs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.68304443359374,\n              33.763165380096595\n            ],\n            [\n              -116.3067626953125,\n              33.763165380096595\n            ],\n            [\n              -116.3067626953125,\n              33.93880275084578\n            ],\n            [\n              -116.68304443359374,\n              33.93880275084578\n            ],\n            [\n              -116.68304443359374,\n              33.763165380096595\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Huso, Manuela 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":223969,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":814288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conkling, Tara 0000-0003-1926-8106","orcid":"https://orcid.org/0000-0003-1926-8106","contributorId":217915,"corporation":false,"usgs":true,"family":"Conkling","given":"Tara","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalthorp, Daniel 0000-0002-4815-6309 ddalthorp@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-6309","contributorId":4902,"corporation":false,"usgs":true,"family":"Dalthorp","given":"Daniel","email":"ddalthorp@usgs.gov","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":814290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Melanie J","contributorId":238012,"corporation":false,"usgs":false,"family":"Davis","given":"Melanie","email":"","middleInitial":"J","affiliations":[{"id":47679,"text":"University of Washington, School of Aquatic and Fishery Sciences, Seattle, Washington 98105, USA","active":true,"usgs":false}],"preferred":false,"id":814292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Heath","contributorId":257452,"corporation":false,"usgs":false,"family":"Smith","given":"Heath","email":"","affiliations":[{"id":52024,"text":"Rogue Detection Teams","active":true,"usgs":false}],"preferred":false,"id":814291,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fesnock-Parker, Amy","contributorId":140129,"corporation":false,"usgs":false,"family":"Fesnock-Parker","given":"Amy","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":814293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814294,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70223830,"text":"70223830 - 2021 - Regional ensemble modeling reduces uncertainty for digital soil mapping","interactions":[],"lastModifiedDate":"2021-09-09T12:18:59.602846","indexId":"70223830","displayToPublicDate":"2021-03-31T07:13:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Regional ensemble modeling reduces uncertainty for digital soil mapping","docAbstract":"<p id=\"sp0010\">Recent country and continental-scale digital soil mapping efforts have used a single model to predict soil properties across large regions. However, different ecophysiographic regions within large-extent areas are likely to have different soil-landscape relationships so models built specifically for these regions may more accurately capture these relationships relative to a ‘global’ model. We ask the question: Is a single ‘global’ model sufficient or are regionally-specific models useful for accurate digital soil mapping? We test this question by modeling soil depth classes across the 432,000&nbsp;km<sup>2</sup><span>&nbsp;</span>upper Colorado River Basin in the Western USA using a single global model, multiple ecophysiographic models, and ensembles of the ecophysiographic models.</p><p id=\"sp0015\">Effective soil depth class observations (<i>n</i>&nbsp;=&nbsp;12,194) were derived from multiple soil databases. Fifty-seven environmental covariates were derived from a 30&nbsp;m digital elevation model, climate data, satellite imagery, and aeroradiometric data. Three independent land classifications were used to stratify the area. Two expert-derived land classifications, USDA Major Land Resource Areas (MLRA) and US-EPA Level III ecoregions, divided the study area into multiple ecophysiographic regions based on vegetation and broad-scale physiographic differences. The third land classification divided the study area into broad landforms.</p><p id=\"sp0020\">Soil depth observations were split into separate training (<i>n</i>&nbsp;=&nbsp;10,470) and validation (<i>n</i>&nbsp;=&nbsp;1,724) datasets. First, a ‘global’ random forest model was used to model soil depth classes using all training observations and covariates. ‘Global’ denotes a model built with all training data across the extent of the area, not a model at world extent. Second, the land classifications were used to subset the observations into ecophysiographic sub-datasets and random forest models were refit for each region. Models fit by ecophysiographic region are referred to as regional models. Thirdly, predictions from each regional model were fused into regional-ensemble models. Accuracy, Brier scores, and Shannon’s entropy were used to compare model accuracy and uncertainty. Regional ecophysiographic models were also compared to models built for geographic areas that were defined solely to be approximately equal in area. Training dataset density and the imbalance ratio were investigated to determine if data characteristics influenced regional accuracy/uncertainty metrics.</p><p id=\"sp0025\">Accuracy for the global model using the validation set was 62.8%. Regional model accuracies ranged between 56.1% and 75.0%. We found: 1) useful inter-regional differences in global model accuracy were revealed when the global model was validated by region, 2) no consistent relationship between training observation density and accuracy/uncertainty metrics, 3) no meaningful differences in accuracy and uncertainty metrics between physiographic and geographic regions, 4) ensembles of regionally-specific models were approximately as accurate as global models, and 5) both region-specific models and ensembles of regional models were less uncertain than the global model. Overall, we recommend the use of soil depth class predictions made from MLRA regional ensemble models because this prediction had higher accuracy than the ecoregion ensemble model prediction, but lower uncertainty than both the global model and the landform ensemble model predictions. We answer our question: Ensembles of regionally-specific models are approximately as accurate as global models, but result in less uncertainty.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2021.114998","usgsCitation":"Brungard, C.C., Nauman, T.W., Duniway, M.C., Veblen, K.E., Nehring, K.C., White, D.S., Salley, S.W., and Anchang, J., 2021, Regional ensemble modeling reduces uncertainty for digital soil mapping: Geoderma, v. 397, 114998, 15 p., https://doi.org/10.1016/j.geoderma.2021.114998.","productDescription":"114998, 15 p.","ipdsId":"IP-124150","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":452871,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geoderma.2021.114998","text":"Publisher Index Page"},{"id":388990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Nevada, New  Mexico, Utah, Wyoming","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.25781249999999,\n              37.33522435930639\n            ],\n            [\n              -114.96093749999997,\n              37.78808138412046\n            ],\n            [\n              -115.40039062499997,\n              36.949891786813296\n            ],\n            [\n              -115.79589843749999,\n              37.23032838760387\n            ],\n            [\n              -116.49902343749999,\n              38.41055825094609\n            ],\n            [\n              -116.806640625,\n              37.99616267972814\n            ],\n            [\n              -116.63085937499997,\n  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C.","contributorId":248822,"corporation":false,"usgs":false,"family":"Brungard","given":"Colby","email":"","middleInitial":"C.","affiliations":[{"id":50029,"text":"New Mexico State University, Department of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":822824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nauman, Travis W. 0000-0001-8004-0608 tnauman@usgs.gov","orcid":"https://orcid.org/0000-0001-8004-0608","contributorId":169241,"corporation":false,"usgs":true,"family":"Nauman","given":"Travis","email":"tnauman@usgs.gov","middleInitial":"W.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":822825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 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S.","contributorId":173069,"corporation":false,"usgs":false,"family":"White","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":822829,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Salley, Shawn W.","contributorId":216783,"corporation":false,"usgs":false,"family":"Salley","given":"Shawn","email":"","middleInitial":"W.","affiliations":[{"id":39514,"text":"USDA-Agricultural Resource Service, Jornada Experimental Range, Las Cruces, NM 88003, USA","active":true,"usgs":false}],"preferred":false,"id":822830,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anchang, Julius","contributorId":265510,"corporation":false,"usgs":false,"family":"Anchang","given":"Julius","email":"","affiliations":[{"id":54703,"text":"Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM 88003","active":true,"usgs":false}],"preferred":false,"id":822831,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70241788,"text":"70241788 - 2021 - Biofluorescence in tiger salamanders documented in Rocky Mountain National Park for the first time","interactions":[],"lastModifiedDate":"2023-03-27T12:11:14.238033","indexId":"70241788","displayToPublicDate":"2021-03-31T07:09:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Biofluorescence in tiger salamanders documented in Rocky Mountain National Park for the first time","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"National Park Service","usgsCitation":"Lafrance, B., Ray, A.M., Kissel, A.M., and Muths, E.L., 2021, Biofluorescence in tiger salamanders documented in Rocky Mountain National Park for the first time: Park Science, v. 51, no. 1.","ipdsId":"IP-132874","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":414769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414768,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/000/biofluorescence-in-tiger-salamanders-documented-in-rocky-mountain-national-park-for-the-first-time.htm"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.2269417100673,\n              40.84650002893082\n            ],\n            [\n              -106.2269417100673,\n              39.736674010506164\n            ],\n            [\n              -105.09034566731782,\n              39.736674010506164\n            ],\n            [\n              -105.09034566731782,\n              40.84650002893082\n            ],\n            [\n              -106.2269417100673,\n              40.84650002893082\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lafrance, Benjamin","contributorId":303574,"corporation":false,"usgs":false,"family":"Lafrance","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":867567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":867568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kissel, Amanda M.","contributorId":211917,"corporation":false,"usgs":false,"family":"Kissel","given":"Amanda","email":"","middleInitial":"M.","affiliations":[{"id":36678,"text":"Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":867569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867570,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220111,"text":"70220111 - 2021 - Biological correlates of sea urchin recruitment in kelp forest and urchin barren habitats","interactions":[],"lastModifiedDate":"2021-04-20T11:45:26.033464","indexId":"70220111","displayToPublicDate":"2021-03-31T06:41:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Biological correlates of sea urchin recruitment in kelp forest and urchin barren habitats","docAbstract":"<p><span>Shifts between the alternate stable states of sea urchin barren grounds and kelp forests correspond to sea urchin density. In the Aleutian Archipelago, green sea urchins&nbsp;</span><i>Strongylocentrotus polyacanthus</i><span>&nbsp;are the dominant herbivores that graze kelp forests. Sea urchin recruitment is an important driver that influences sea urchin density, particularly in the absence of top-down control from a keystone predator such as the sea otter&nbsp;</span><i>Enhydra lutris</i><span>. To understand how the biological community may influence patterns of sea urchin recruitment, we compared sea urchin recruit (size ≤20 mm) densities with biomass of other benthic organisms in both barren ground and kelp forest habitats at 9 islands across the Aleutian Archipelago. Patterns of biological community structure between the 2 habitats did not explain patterns of sea urchin recruits; however, the same 10 specific taxa were found to correlate with sea urchin recruits in each habitat. Taxa that showed strong positive correlations included&nbsp;</span><i>Codium, Constantinea, Schizymenia,</i><span>&nbsp;and hydrozoans, while strong negative correlations were observed with&nbsp;</span><i>Pachyarthron</i><span>&nbsp;and&nbsp;</span><i>Pugettia</i><span>. Weak positive correlations were observed with&nbsp;</span><i>Alcyonidium</i><span>&nbsp;and ascidiaceans in both habitats, while weak variable relationships were detected with&nbsp;</span><i>Polysiphonia</i><span>&nbsp;and&nbsp;</span><i>Corallina</i><span>&nbsp;between habitats. The observed species-specific relationships may be due to small sea urchin displacement by larger conspecifics, larval responses to settlement cues, post-settlement survival via biogenic refugia, or potentially predation. These potential species-specific interactions were apparent, regardless of habitat, and it can be inferred that they would be preserved in the presence or absence of keystone predation.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps13621","usgsCitation":"Weitzman, B., and Konar, B.H., 2021, Biological correlates of sea urchin recruitment in kelp forest and urchin barren habitats: Marine Ecology Progress Series, v. 663, p. 115-125, https://doi.org/10.3354/meps13621.","productDescription":"11 p.","startPage":"115","endPage":"125","ipdsId":"IP-110690","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":452873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps13621","text":"Publisher Index Page"},{"id":385214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Alaska","otherGeospatial":"Aleutian Archipelago","volume":"663","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weitzman, Ben","contributorId":252838,"corporation":false,"usgs":false,"family":"Weitzman","given":"Ben","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":814510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konar, Brenda H. 0000-0002-8998-1612","orcid":"https://orcid.org/0000-0002-8998-1612","contributorId":200787,"corporation":false,"usgs":false,"family":"Konar","given":"Brenda","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":814511,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70248345,"text":"70248345 - 2021 - First record and diet of the tricolored bat (Perimyotis subflavus) from Guadalupe National Park and Culberson County, Texas","interactions":[],"lastModifiedDate":"2023-09-08T11:41:53.51674","indexId":"70248345","displayToPublicDate":"2021-03-31T06:38:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"First record and diet of the tricolored bat (Perimyotis subflavus) from Guadalupe National Park and Culberson County, Texas","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">The tri-colored bat (<i>Perimyotis subflavus</i>) occurs throughout the eastern United States, from Canada to south Florida and westward to eastern New Mexico, central Colorado, and western Texas. In this study, we document the first record of<span>&nbsp;</span><i>P</i>.<span>&nbsp;</span><i>subflavus</i><span>&nbsp;</span>for both Guadalupe Mountains National Park and Culberson County, Texas. Our record extends the range of<span>&nbsp;</span><i>P. subflavus</i><span>&nbsp;</span>into the Trans-Pecos region of Texas. We also examined the diet of this individual and observed that it consisted of Lepidoptera, Coleoptera, and Hemiptera. Our observations of the diet of<span>&nbsp;</span><i>P. subflavus</i><span>&nbsp;</span>correspond with results of previous studies from more eastern portions of the species' range.</p></div></div>","language":"English","publisher":"Western North American Naturalist","doi":"10.3398/064.081.0111","usgsCitation":"Hanttula, M.K., and Valdez, E.W., 2021, First record and diet of the tricolored bat (Perimyotis subflavus) from Guadalupe National Park and Culberson County, Texas: Western North American Naturalist, v. 81, no. 1, p. 131-134, https://doi.org/10.3398/064.081.0111.","productDescription":"4 p.","startPage":"131","endPage":"134","ipdsId":"IP-116804","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":420650,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Culberson County","otherGeospatial":"Guadalupe National Park","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.9201,32.0029],[-104.9115,32.0029],[-104.8612,32.003],[-104.8466,32.0031],[-104.8299,32.0031],[-104.7467,32.0032],[-104.7313,32.0032],[-104.4014,32.0024],[-104.1475,32.0017],[-104.0617,32.0012],[-104.0282,32.001],[-104.0265,32.001],[-104.1024,31.1049],[-104.2529,31.0284],[-104.6791,30.8026],[-104.9141,30.6647],[-104.9131,30.8121],[-104.9036,30.813],[-104.9022,30.9224],[-104.9034,30.9791],[-104.9141,30.9791],[-104.9168,31.359],[-104.919,31.8541],[-104.9201,32.0029]]]},\"properties\":{\"name\":\"Culberson\",\"state\":\"TX\"}}]}","volume":"81","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hanttula, Mollie K","contributorId":236941,"corporation":false,"usgs":false,"family":"Hanttula","given":"Mollie","email":"","middleInitial":"K","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":882638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70221408,"text":"70221408 - 2021 - Making restoration meaningful: A vision for working at multiple scales to help secure a future for coral reefs","interactions":[],"lastModifiedDate":"2021-06-15T11:34:06.86993","indexId":"70221408","displayToPublicDate":"2021-03-31T06:32:02","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"23","title":"Making restoration meaningful: A vision for working at multiple scales to help secure a future for coral reefs","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Active Coral Restoration: Techniques for a Changing Planet","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"J. Ross Publishing","usgsCitation":"Kaufman, L., Kuffner, I.B., Moore, T., and Vardi, T., 2021, Making restoration meaningful: A vision for working at multiple scales to help secure a future for coral reefs, chap. 23 <i>of</i> Active Coral Restoration: Techniques for a Changing Planet, p. 567-580.","productDescription":"14 p.","startPage":"567","endPage":"580","ipdsId":"IP-121718","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":386483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":386482,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.jrosspub.com/science/environmental-science/active-coral-restoration.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kaufman, Les","contributorId":260242,"corporation":false,"usgs":false,"family":"Kaufman","given":"Les","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":817618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Tom","contributorId":260243,"corporation":false,"usgs":false,"family":"Moore","given":"Tom","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":817620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vardi, Tali","contributorId":260245,"corporation":false,"usgs":false,"family":"Vardi","given":"Tali","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":817621,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219174,"text":"fs20213017 - 2021 - Texas and Landsat","interactions":[],"lastModifiedDate":"2025-03-20T14:26:43.368165","indexId":"fs20213017","displayToPublicDate":"2021-03-30T10:39:13","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":"2021-3017","displayTitle":"Texas and Landsat","title":"Texas and Landsat","docAbstract":"<p>The State of Texas has the largest land area of any in the contiguous United States, and its sprawling landscapes show rich geographic diversity. The Lone Star State has cactus flats in the high plains of its far western panhandle, rolling hills in its western Trans-Pecos region, farms and ranchlands stretching across central Texas, thick forests and swamplands spread through the east, and 3,359 miles of Gulf of America coastline. 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 \"}}]}","edition":"Version 1.0: March 30, 2021; Version 1.1: October 17, 2022; Version 1.2: March 19, 2025","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a> <br>U.S. Geological Survey<br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Mapping Change to Texas Coastlines</li><li>Tracking Urban Heat from Above</li><li>Measuring and Managing Water Use</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-03-30","revisedDate":"2025-03-19","noUsgsAuthors":false,"publicationDate":"2021-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":202815,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":813135,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70219201,"text":"ofr20201154 - 2021 - Range-wide greater sage-grouse hierarchical monitoring framework—Implications for defining population boundaries, trend estimation, and a targeted annual warning system","interactions":[],"lastModifiedDate":"2021-03-31T11:34:59.149189","indexId":"ofr20201154","displayToPublicDate":"2021-03-30T10:32:04","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":"2020-1154","displayTitle":"Range-wide Greater Sage-Grouse Hierarchical Monitoring Framework: Implications for Defining Population Boundaries, Trend Estimation, and a Targeted Annual Warning System","title":"Range-wide greater sage-grouse hierarchical monitoring framework—Implications for defining population boundaries, trend estimation, and a targeted annual warning system","docAbstract":"<p>Incorporating spatial and temporal scales into greater sage-grouse (<i>Centrocercus urophasianus</i>) population monitoring strategies is challenging and rarely implemented. Sage-grouse populations experience fluctuations in abundance that lead to temporal oscillations, making trend estimation difficult. Accounting for stochasticity is critical to reliably estimate population trends and investigate variation related to deterministic factors on the landscape, which are amenable to management action. Here, we describe a novel, range-wide hierarchical monitoring framework for sage-grouse centered on four objectives: (1) create a standardized database of lek counts, (2) develop spatial population structures by clustering leks, (3) estimate spatial trends at different temporal extents based on abundance nadirs (troughs), and (4) develop a targeted annual warning system to help inform management decisions. Using automated and repeatable methods (software), we compiled a lek database (as of 2019) that contained 262,744 counts and 8,421 unique lek locations from disparate state data. The hierarchical population units (clusters) included 13 nested levels, identifying biologically relevant units and population structure that minimized inter-cluster sage-grouse movements. With these products, we identified spatiotemporal variation in trends in population abundance using Bayesian state-space models. We estimated 37.0, 65.2, and 80.7-percent declines in abundance range-wide during short (17 years), medium (33 years), and long (53 years) temporal scales, respectively. However, some areas exhibited evidence of increasing trends in abundance in recent decades. Models predicted 12.3, 19.2, and 29.6 percent of populations (defined as clusters of neighboring leks) consisted of over 50-percent probability of extirpation at 19, 38, and 56-year projections from 2019, respectively, based on averaged annual rate of change in apparent abundance across two, four, and six oscillations (average period of oscillation is 9.4 years). At the lek level, models predicted 45.7, 60.1, and 78.0 percent of leks with over 50-percent extirpation probabilities over the same time periods, respectively, mostly located on the periphery of the species’ range. The targeted annual warning system automates annual identification of local populations exhibiting asynchronous decline relative to regional population patterns using simulated management actions and an optimization algorithm for evaluating range-wide stabilization of population abundance. In 2019, approximately 3.2 percent of leks and 2.0 percent of populations were identified by the targeted annual warning system for management intervention range-wide.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201154","collaboration":"Prepared in cooperation with the Western Association of Fish and Wildlife Agencies and the Bureau of Land Management","usgsCitation":"Coates, P.S., Prochazka, B.G., O’Donnell, M.S., Aldridge, C.L., Edmunds, D.R., Monroe, A.P., Ricca, M.A., Wann, G.T., Hanser, S.E., Wiechman, L.A., and Chenaille, M.P., 2021, Range-wide greater sage-grouse hierarchical monitoring framework—Implications for defining population boundaries, trend estimation, and a targeted annual warning system: U.S. Geological Survey Open-File Report 2020–1154, 243 p., https://doi.org/10.3133/ofr20201154.","productDescription":"Report: vi, 243 p.; 1 Table","numberOfPages":"243","onlineOnly":"Y","ipdsId":"IP-123421","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":384766,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2020/1154/ofr20201154_table8.csv","text":"Table 8","size":"80 KB","linkFileType":{"id":7,"text":"csv"}},{"id":384765,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2020/1154/ofr20201154_table8.xlsx","text":"Table 8","size":"60 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":384760,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1154/ofr20201154.pdf","text":"Report","size":"310 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":384759,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1154/covrthb.jpg"}],"country":"United States","state":"California, Colorado, Idaho, Montana, Nevada, North Dakota, Oregon, South Dakota, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.32226562500001,\n              35.67514743608467\n            ],\n            [\n              -103.447265625,\n              35.67514743608467\n            ],\n            [\n              -103.447265625,\n              48.69096039092549\n            ],\n            [\n              -120.32226562500001,\n              48.69096039092549\n            ],\n            [\n              -120.32226562500001,\n              35.67514743608467\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>Preface&nbsp;&nbsp;</li><li>Acknowledgments&nbsp;&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;&nbsp;</li><li>Executive Summary&nbsp;&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;&nbsp;</li><li>Study Areas&nbsp;&nbsp;&nbsp;</li><li>Objective 1. Database for Sage-grouse Lek Counts&nbsp;&nbsp;&nbsp;</li><li>Objective 2. Population Clusters&nbsp;&nbsp;&nbsp;</li><li>Objective 3. Spatiotemporal Patterns of Sage-Grouse Population Abundance Trends&nbsp;&nbsp;</li><li>Objective 4. Targeted Annual Warning System&nbsp; Interpretation and Synthesis&nbsp;&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;&nbsp;</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2021-03-30","noUsgsAuthors":false,"publicationDate":"2021-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":3351,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":813199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813201,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813202,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wann, Gregory T. 0000-0001-9076-7819 wanng@usgs.gov","orcid":"https://orcid.org/0000-0001-9076-7819","contributorId":3855,"corporation":false,"usgs":true,"family":"Wann","given":"Gregory","email":"wanng@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813203,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":813204,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813205,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Chenaille, Michael P. 0000-0003-3387-7899 mchenaille@usgs.gov","orcid":"https://orcid.org/0000-0003-3387-7899","contributorId":194661,"corporation":false,"usgs":true,"family":"Chenaille","given":"Michael","email":"mchenaille@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813206,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70220299,"text":"70220299 - 2021 - A rock record of complex aeolian bedforms in a Hesperian desert landscape: The Stimson formation as exposed in the Murray Buttes, Gale Crater, Mars","interactions":[],"lastModifiedDate":"2021-05-03T16:00:02.473524","indexId":"70220299","displayToPublicDate":"2021-03-30T10:27:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7353,"text":"Journal of Geophysical Research - Planets","active":true,"publicationSubtype":{"id":10}},"title":"A rock record of complex aeolian bedforms in a Hesperian desert landscape: The Stimson formation as exposed in the Murray Buttes, Gale Crater, Mars","docAbstract":"<p><span>Lithified aeolian strata encode information about ancient planetary surface processes and the climate during deposition. Decoding these strata provides insight regarding past sediment transport processes, bedform kinematics, depositional landscape, and the prevailing climate. Deciphering these signatures requires a detailed analysis of sedimentary architecture to reconstruct dune morphology, motion, and the conditions that enabled their formation. Here, we show that a distinct sandstone unit exposed in the foothills of Mount Sharp, Gale crater, Mars, records the preserved expression of compound aeolian bedforms that accumulated in a large dune field. Analysis of Mastcam images of the Stimson formation shows that it consists of cross‐stratified sandstone beds separated by a hierarchy of erosive bounding surfaces formed during dune migration. The presence of two orders of surfaces with distinct geometrical relations reveals that the Stimson‐era landscape consisted of large dunes (draas) with smaller, superimposed dunes migrating across their lee slopes. Analysis of cross‐lamination and subset bounding surface geometries indicate a complex wind regime that transported sediment toward the north, constructing oblique dunes. This dune field was a direct product of the regional climate and the surface processes active in Gale crater during the fraction of the Hesperian Period recorded by the Stimson formation. The environment was arid, supporting a large aeolian dune field; this setting contrasts with earlier humid depositional episodes, recorded by the lacustrine sediments of the Murray formation (also Hesperian). Such fine‐scale reconstruction of landscapes on the ancient surface of Mars is important to understanding the planet’s past climate and habitability.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JE006554","usgsCitation":"Banham, S.G., Gupta, S., Rubin, D.M., Edgett, K.S., Barnes, R., Van Beek, J., Watkins, J.A., Edgar, L.A., Fedo, C.M., Williams, R.M., Stack, K.M., Grotzinger, J.P., Lewis, K., Ewing, R.C., Day, M.D., and Vasavada, A.R., 2021, A rock record of complex aeolian bedforms in a Hesperian desert landscape: The Stimson formation as exposed in the Murray Buttes, Gale Crater, Mars: Journal of Geophysical Research - Planets, v. 126, no. 4, e2020JE006554, 35 p., https://doi.org/10.1029/2020JE006554.","productDescription":"e2020JE006554, 35 p.","ipdsId":"IP-119995","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":452875,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2020je006554","text":"External Repository"},{"id":385422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gale Crater, Mars, Murray Buttes","volume":"126","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Banham, Steve G.","contributorId":203783,"corporation":false,"usgs":false,"family":"Banham","given":"Steve","email":"","middleInitial":"G.","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":815047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gupta, Sanjeev","contributorId":172302,"corporation":false,"usgs":false,"family":"Gupta","given":"Sanjeev","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":815048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, David M.","contributorId":206587,"corporation":false,"usgs":false,"family":"Rubin","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":32898,"text":"U.C. 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,{"id":70219150,"text":"ofr20211013 - 2021 - Renewing the National Cooperative Geologic Mapping Program as the Nation’s authoritative source for modern geologic knowledge","interactions":[],"lastModifiedDate":"2022-09-23T14:45:18.884865","indexId":"ofr20211013","displayToPublicDate":"2021-03-30T09:05:00","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":"2021-1013","displayTitle":"Renewing the National Cooperative Geologic Mapping Program as the Nation’s Authoritative Source for Modern Geologic Knowledge","title":"Renewing the National Cooperative Geologic Mapping Program as the Nation’s authoritative source for modern geologic knowledge","docAbstract":"<p>This document presents the renewed vision, mission, and goals for the National Cooperative Geologic Mapping Program (NCGMP). The NCGMP, as authorized by the National Cooperative Geologic Mapping Act of 1992 (Public Law 102-285, 106 Stat. 166 and its reauthorizations), is tasked with expediting the production of a geologic database for the Nation based on modern geologic maps and their supporting data. In addition to highlighting the benefits of geologic maps for economic prosperity, national security, and environmental quality, the report describes the NCGMP structure and components. A renewed vision and mission for the NCGMP are stated, and three goals for guiding the program toward that vision for the next ten years are established. The vision of creating an integrated, three-dimensional, digital geologic map of the United States and its territories to address the changing needs of the Nation by 2030 is thereby defined to drive the activities of all NCGMP components for the next ten years. The strategic actions required to realize the NCGMP vision are identified for each of its components.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211013","usgsCitation":"Brock, J., Berry, K., Faulds, J., Berg, R., House, K., Marketti, M., McPhee, D., Schmidt, K., Schmitt, J., Soller, D., Spears, D., Thompson, R., Thorleifson, H., and Walsh, G., 2021, Renewing the National Cooperative Geologic Mapping Program as the Nation’s authoritative source for modern geologic knowledge: U.S. Geological Survey Open-File Report 2021–1013, 10 p., https://doi.org/10.3133/ofr20211013.","productDescription":"vi, 10 p.","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-115733","costCenters":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"links":[{"id":384680,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1013/ofr20211013.pdf","text":"Report","size":"0.97 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1013"},{"id":384679,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1013/coverthb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/core-science-systems/national-cooperative-geologic-mapping-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-cooperative-geologic-mapping-program\">National Cooperative Geologic Mapping Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>The National Cooperative Geologic Mapping Program Structure</li><li>Renewed Vision, Mission, and Goals for the National Cooperative Geologic Mapping Program</li><li>Realizing the New National Cooperative Geologic Mapping Program Vision</li><li>Synopsis</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-03-30","noUsgsAuthors":false,"publicationDate":"2021-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":812959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Karen 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