{"pageNumber":"87","pageRowStart":"2150","pageSize":"25","recordCount":40769,"records":[{"id":70261843,"text":"70261843 - 2024 - GRACE and GRACE Follow-On gravity observations of intermediate-depth earthquakes contrasted with those of shallow events","interactions":[],"lastModifiedDate":"2024-12-30T17:18:50.481926","indexId":"70261843","displayToPublicDate":"2024-02-19T09:08:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"GRACE and GRACE Follow-On gravity observations of intermediate-depth earthquakes contrasted with those of shallow events","docAbstract":"<p><span>Earthquakes involve mass redistribution within the solid Earth and the ocean, and as a result, perturb the Earth's gravitational field. For most of the shallow (&lt;60&nbsp;km) earthquakes with&nbsp;</span><i>M</i><sub><i>w</i></sub><span>&nbsp;&gt;&nbsp;8.0, the GRACE satellite gravity measurements suggest considerable volumetric disturbance of rocks. At a spatial scale of hundreds of km, the effect of volumetric change exceeds gravity change by vertical deformation; for example, negative gravity anomalies associated with volumetric expansion are characteristic patterns after shallow thrust events. In this study, however, we report contrasting observations of gravity change from two intermediate-depth (100–150&nbsp;km) earthquakes of 2016 &amp; 2017&nbsp;</span><i>Mw</i><span>&nbsp;8.0 (two combined) Papua New Guinea thrust faulting events and 2019&nbsp;</span><i>Mw</i><span>&nbsp;8.0 Peru normal faulting and highlight the importance of compressibility in earthquake deformation. The combined 2016/17 thrust events resulted in a positive gravity anomaly of 5–6 microGal around the epicenter, while the 2019 normal faulting produced a negative gravity anomaly of 3–4 microGal. Our modeling found that these gravity changes are manifestation of vertical deformation with limited volumetric change, distinct from gravity changes after the shallow earthquakes. The stronger resistance of rocks to volume change at intermediate-depth results in largely incompressible deformation and thus in a gravity change dominated by vertical deformation. In addition, malleable rocks under high pressure and temperature at depth facilitated substantial afterslip and/or fast viscoelastic relaxation causing additional vertical deformation and gravity change equivalent to the coseismic change. For the Papua New Guinea events, this means that postseismic relaxation enhanced coseismic uplift and relative sea level decrease.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JB028362","usgsCitation":"Han, S., Sauber, J., Broerse, T., Pollitz, F., Okal, E., Jeon, T., Seo, K., and Stanaway, R., 2024, GRACE and GRACE Follow-On gravity observations of intermediate-depth earthquakes contrasted with those of shallow events: Journal of Geophysical Research: Solid Earth, v. 129, e2023JB028362, 18 p., https://doi.org/10.1029/2023JB028362.","productDescription":"e2023JB028362, 18 p.","ipdsId":"IP-152518","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":467030,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jb028362","text":"Publisher Index Page"},{"id":465528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","noUsgsAuthors":false,"publicationDate":"2024-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Han, Shin-Chan","contributorId":187537,"corporation":false,"usgs":false,"family":"Han","given":"Shin-Chan","affiliations":[],"preferred":false,"id":922002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauber, Jeanne","contributorId":243991,"corporation":false,"usgs":false,"family":"Sauber","given":"Jeanne","affiliations":[{"id":40052,"text":"NASA Goddard","active":true,"usgs":false}],"preferred":false,"id":922003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Broerse, Taco","contributorId":347568,"corporation":false,"usgs":false,"family":"Broerse","given":"Taco","affiliations":[{"id":83193,"text":"Utrecht University, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":922004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":922005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Okal, Emile","contributorId":347569,"corporation":false,"usgs":false,"family":"Okal","given":"Emile","affiliations":[{"id":83194,"text":"Northwestern University, Evanston, IL","active":true,"usgs":false}],"preferred":false,"id":922006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jeon, Taehwan","contributorId":347570,"corporation":false,"usgs":false,"family":"Jeon","given":"Taehwan","affiliations":[{"id":83195,"text":"Seoul National University, Seoul, Korea","active":true,"usgs":false}],"preferred":false,"id":922007,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seo, Ki-Weon","contributorId":347571,"corporation":false,"usgs":false,"family":"Seo","given":"Ki-Weon","affiliations":[{"id":83195,"text":"Seoul National University, Seoul, Korea","active":true,"usgs":false}],"preferred":false,"id":922008,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stanaway, Richard","contributorId":347586,"corporation":false,"usgs":false,"family":"Stanaway","given":"Richard","affiliations":[],"preferred":false,"id":922022,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70254195,"text":"70254195 - 2024 - Adaptive resource management: Achieving functional eradication of invasive snakes to benefit avian conservation","interactions":[],"lastModifiedDate":"2024-05-13T12:09:49.234019","indexId":"70254195","displayToPublicDate":"2024-02-19T07:08:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive resource management: Achieving functional eradication of invasive snakes to benefit avian conservation","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>Natural resource management often co-occurs with considerable uncertainty. One approach to mitigating uncertainty is through adaptive resource management (ARM), a specialized form of structured decision-making that modifies management decisions or actions through monitoring and implementation.</li><li>Here, we present a case study on the attempted eradication of an invasive brown treesnake (<i>Boiga irregularis</i>) in a 5-ha enclosure on Guam with uncertainty in approach. We applied an ARM process across three field phases of snake removal and evaluated whether (1) eradication was achievable and (2) eradication was necessary to achieve an avian response. Field phases included the application of aerial toxic baits, toxicant baiting large mouse and birds, trapping with live mouse and bird lures and hand capture.</li><li>We found that each removal technique improved control by either removing many individuals or targeting a subset of individuals that resisted prior control approaches. Although the effort did not result in eradication, the evaluation of identified indicators allowed for timely adjustments to removal using the ARM process.</li><li>The snake removal efforts yielded an avian response in the treatment area after integrating live birds as snake lures, suggesting functional eradication of snakes may be possible. We also, however, observed a release of invasive rodents following snake control, with birds being more sensitive to the presence of snakes than rodents.</li><li><i>Synthesis and applications</i>. We suggest that using adaptive resource management to evaluate each phase of action in relation to established goals allowed us to measure outcomes and was successful in eliminating uncertainty in the application of control tools for wildlife conservation. We were able to create a documented and successful approach towards removing snakes inside a snake-exclusion barrier by following the ARM process.</li></ol></div></div>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14597","usgsCitation":"Nafus, M., Reyes, A., Fies, T., and Goetz, S.M., 2024, Adaptive resource management: Achieving functional eradication of invasive snakes to benefit avian conservation: Journal of Applied Ecology, v. 61, no. 4, p. 733-745, https://doi.org/10.1111/1365-2664.14597.","productDescription":"13 p.","startPage":"733","endPage":"745","ipdsId":"IP-148799","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":440378,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14597","text":"Publisher Index Page"},{"id":428631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Nafus, Melia Gail 0000-0002-7325-3055","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":245717,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia Gail","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":900570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reyes, Amanda","contributorId":336630,"corporation":false,"usgs":false,"family":"Reyes","given":"Amanda","email":"","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":900571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fies, Thomas","contributorId":336633,"corporation":false,"usgs":false,"family":"Fies","given":"Thomas","email":"","affiliations":[{"id":54632,"text":"Research Corporation of the University of Guam","active":true,"usgs":false}],"preferred":false,"id":900572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goetz, Scott Michael 0000-0002-8705-5316","orcid":"https://orcid.org/0000-0002-8705-5316","contributorId":228868,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott","email":"","middleInitial":"Michael","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":900573,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70254434,"text":"70254434 - 2024 - Revisiting the physical processes controlling the tropical atmospheric circulation changes during the Mid-Piacenzian Warm Period","interactions":[],"lastModifiedDate":"2024-05-24T12:10:25.082415","indexId":"70254434","displayToPublicDate":"2024-02-19T07:04:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Revisiting the physical processes controlling the tropical atmospheric circulation changes during the Mid-Piacenzian Warm Period","docAbstract":"<p>The Mid-Piacenzian Warm Period (MPWP; 3.0–3.3 Ma), a warm geological period about three million years ago, has been deemed as a good past analog for understanding the current and future climate change. Based on 12 climate model outputs from Pliocene Model Intercomparison Project Phase 2 (PlioMIP2), we investigate tropical atmospheric circulation (TAC) changes under the warm MPWP and associated underlying mechanisms by diagnosing both atmospheric static stability and diabatic processes. Our findings underscore the advantage of analyzing atmospheric diabatic processes in elucidating seasonal variations of TAC compared to static stability assessments. Specifically, by diagnosing alterations in diabatic processes, we achieve a quantitative understanding and explanation the following TAC changes (incl. Strength and edge) during the MPWP: the weakened (annual, DJF, JJA) Northern Hemisphere and (DJF) Southern Hemisphere Hadley circulation (HC), reduced (annual, DJF) Pacific Walker circulation (PWC) and enhanced (annual, JJA) Southern Hemisphere HC and (JJA) PWC, and westward shifted (annual, DJF, JJA) PWC. We further addressed that the increasing bulk subtropical static stability and/or decreasing vertical shear of subtropical zonal wind - two crucial control factors for changes in subtropical baroclinicity - may promote HC widening, and vice versa. Consequently, our study of spatial diabatic heating and cooling, corresponding to upward and downward motions within the TAC, respectively, provides a new perspective for understanding the processes controlling seasonal TAC changes in response to surface warming.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2024.01.001","usgsCitation":"Zhang, K., Sun, Y., Zhang, X., Stepanek, C., Feng, R., Hill, D., Lohmann, G., Dolan, A.M., Haywood, A.M., Abe-Ouchi, A., Otto-Bliesner, B., Contoux, C., Chandan, D., Ramstein, G., Dowsett, H.J., Tindall, J.C., Baatsen, M., Tan, N., Peltier, W.R., Liu, Q., Chan, W., Wang, X., and Zhang, X., 2024, Revisiting the physical processes controlling the tropical atmospheric circulation changes during the Mid-Piacenzian Warm Period: Quaternary International, v. 682, p. 46-59, https://doi.org/10.1016/j.quaint.2024.01.001.","productDescription":"14 p.","startPage":"46","endPage":"59","ipdsId":"IP-147577","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":440381,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04426531v1/document","text":"External Repository"},{"id":429246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"682","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Ke","contributorId":336899,"corporation":false,"usgs":false,"family":"Zhang","given":"Ke","email":"","affiliations":[{"id":80906,"text":"Key Laboratory of Western China’s Environmental Systems (Ministry of Education)","active":true,"usgs":false}],"preferred":false,"id":901358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sun, Yong","contributorId":336900,"corporation":false,"usgs":false,"family":"Sun","given":"Yong","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":901359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Xuan","contributorId":288840,"corporation":false,"usgs":false,"family":"Zhang","given":"Xuan","email":"","affiliations":[{"id":61842,"text":"College of Water Sciences, Beijing Normal University, Beijing 100875, China","active":true,"usgs":false}],"preferred":false,"id":901360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stepanek, Christian","contributorId":220691,"corporation":false,"usgs":false,"family":"Stepanek","given":"Christian","email":"","affiliations":[{"id":40240,"text":"Alfred Wegener Institute-Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany","active":true,"usgs":false}],"preferred":false,"id":901361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feng, Ran","contributorId":269581,"corporation":false,"usgs":false,"family":"Feng","given":"Ran","email":"","affiliations":[{"id":55991,"text":"Department of Geosciences, College of Liberal Arts and Sciences, University of Connecticut, Connecticut, USA","active":true,"usgs":false}],"preferred":false,"id":901409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hill, Daniel","contributorId":206286,"corporation":false,"usgs":false,"family":"Hill","given":"Daniel","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":901410,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lohmann, Gerrit","contributorId":336927,"corporation":false,"usgs":false,"family":"Lohmann","given":"Gerrit","email":"","affiliations":[],"preferred":false,"id":901411,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dolan, Aisling M","contributorId":206287,"corporation":false,"usgs":false,"family":"Dolan","given":"Aisling","email":"","middleInitial":"M","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":901412,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haywood, Alan M","contributorId":206288,"corporation":false,"usgs":false,"family":"Haywood","given":"Alan","email":"","middleInitial":"M","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":901413,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Abe-Ouchi, Ayako","contributorId":94942,"corporation":false,"usgs":true,"family":"Abe-Ouchi","given":"Ayako","email":"","affiliations":[],"preferred":false,"id":901414,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Otto-Bliesner, Bette","contributorId":58171,"corporation":false,"usgs":true,"family":"Otto-Bliesner","given":"Bette","affiliations":[],"preferred":false,"id":901415,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Contoux, Camille","contributorId":269584,"corporation":false,"usgs":false,"family":"Contoux","given":"Camille","email":"","affiliations":[{"id":55994,"text":"Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France","active":true,"usgs":false}],"preferred":false,"id":901416,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Chandan, Deepak","contributorId":269588,"corporation":false,"usgs":false,"family":"Chandan","given":"Deepak","email":"","affiliations":[{"id":55996,"text":"Department of Physics, University of Toronto, Toronto, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":901417,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ramstein, Gilles","contributorId":269585,"corporation":false,"usgs":false,"family":"Ramstein","given":"Gilles","email":"","affiliations":[{"id":55994,"text":"Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France","active":true,"usgs":false}],"preferred":false,"id":901418,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":901419,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tindall, Julia C.","contributorId":147376,"corporation":false,"usgs":false,"family":"Tindall","given":"Julia","email":"","middleInitial":"C.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":901420,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Baatsen, Michiel","contributorId":269586,"corporation":false,"usgs":false,"family":"Baatsen","given":"Michiel","email":"","affiliations":[{"id":55995,"text":"Centre for Complex Systems Science, Utrecht University, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":901421,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tan, Ning","contributorId":269583,"corporation":false,"usgs":false,"family":"Tan","given":"Ning","email":"","affiliations":[{"id":55993,"text":"Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, CHINA","active":true,"usgs":false}],"preferred":false,"id":901422,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Peltier, William Richard","contributorId":336928,"corporation":false,"usgs":false,"family":"Peltier","given":"William","email":"","middleInitial":"Richard","affiliations":[],"preferred":false,"id":901423,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Liu, Qiang","contributorId":216855,"corporation":false,"usgs":false,"family":"Liu","given":"Qiang","email":"","affiliations":[{"id":39533,"text":"4.\tGraduate student, CHWR, Hohai University, NO.1, Xikang Road, Nanjing 210098, China","active":true,"usgs":false}],"preferred":false,"id":901424,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Chan, Wing-Le","contributorId":94941,"corporation":false,"usgs":true,"family":"Chan","given":"Wing-Le","email":"","affiliations":[],"preferred":false,"id":901425,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Wang, Xin","contributorId":177411,"corporation":false,"usgs":false,"family":"Wang","given":"Xin","email":"","affiliations":[],"preferred":false,"id":901426,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Zhang, Xu","contributorId":298298,"corporation":false,"usgs":false,"family":"Zhang","given":"Xu","email":"","affiliations":[{"id":38695,"text":"University of California Merced","active":true,"usgs":false}],"preferred":false,"id":901427,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}}
,{"id":70251794,"text":"70251794 - 2024 - Precipitation uncertainty estimation and rainfall-runoff model calibration using iterative ensemble smoothers","interactions":[],"lastModifiedDate":"2024-02-29T13:05:02.300022","indexId":"70251794","displayToPublicDate":"2024-02-19T07:02:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Precipitation uncertainty estimation and rainfall-runoff model calibration using iterative ensemble smoothers","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara011\">The introduction of iterative ensemble smoothers (IES) for parameter calibration opens avenues for expanding parameter space in surface water hydrologic modeling. Here, we have introduced independent parameters into a model calibration experiment to estimate errors in rainfall forcing data. This approach has the potential to estimate rainfall errors using other hydrological observations and to improve model calibration. Using high-resolution rain gauge data, we estimated “real” rainfall errors across the Turkey River watershed at storm and daily scales. Tests on synthetic and real-world scenarios successfully estimated errors correlated with observed values – even at daily scales. However, a bias remained from model parameter compensation, and identifying errors was challenging for low precipitation and snowfall. Despite synthetic results showing good error correlation, the biases in parameter identification masked potential improvements in hydrological calibration. This study highlights the potential of IES to provide additional information on rainfall errors, even only using streamflow observations.</p></div></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2024.104658","usgsCitation":"Zoccatelli, D., Wright, D., White, J., Fienen, M., and Yu, G., 2024, Precipitation uncertainty estimation and rainfall-runoff model calibration using iterative ensemble smoothers: Advances in Water Resources, v. 186, 104658, https://doi.org/10.1016/j.advwatres.2024.104658.","productDescription":"104658","ipdsId":"IP-160046","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":486975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.advwatres.2024.104658","text":"Publisher Index Page"},{"id":426121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zoccatelli, Davide","contributorId":334411,"corporation":false,"usgs":false,"family":"Zoccatelli","given":"Davide","email":"","affiliations":[{"id":80129,"text":"Luxembourg Institute of Science and Technology, Esch-Sur-Alzette, Luxembourg","active":true,"usgs":false}],"preferred":false,"id":895585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Daniel B.","contributorId":334412,"corporation":false,"usgs":false,"family":"Wright","given":"Daniel B.","affiliations":[{"id":80130,"text":"University of Wisconsin -- Madison","active":true,"usgs":false}],"preferred":false,"id":895586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Jeremy T.","contributorId":334413,"corporation":false,"usgs":false,"family":"White","given":"Jeremy T.","affiliations":[{"id":80131,"text":"Intera, Inc","active":true,"usgs":false}],"preferred":false,"id":895587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":895588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yu, Guo","contributorId":334414,"corporation":false,"usgs":false,"family":"Yu","given":"Guo","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":895589,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256572,"text":"70256572 - 2024 - Fish conservation in streams of the agrarian Mississippi Alluvial Valley: Conceptual model, management actions, and field verification","interactions":[],"lastModifiedDate":"2024-08-21T23:47:39.762384","indexId":"70256572","displayToPublicDate":"2024-02-15T18:43:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18328,"text":"Frontiers in Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Fish conservation in streams of the agrarian Mississippi Alluvial Valley: Conceptual model, management actions, and field verification","docAbstract":"<div class=\"JournalAbstract\"><p>The effects of agriculture and flood control practices accrued over more than a century have impaired aquatic habitats and their fish communities in the Mississippi Alluvial Valley, the historic floodplain of the Lower Mississippi River prior to leveeing. As a first step to conservation planning and adaptive management, we developed and tested a conceptual model of how changes to this floodplain have affected stream environments and fish assemblages. The model is deliberately simple in structure because it needs to be understood by stakeholders ranging from engineers to farmers who must remain engaged to ensure effective conservation. Testing involved multivariate correlative analyses that included descriptors of land setting, water quality, and fish assemblages representing 376 stream samples taken over two decades and ranging in Strahler stream order from 1 to 8. The conceptual model was adequately corroborated by empirical data, but with unexplained variability that is not uncommon in field surveys where gear biases, temporal biases, and scale biases prevent accurate characterizations. Our conceptual model distinguishes three types of conservation actions relevant to large agricultural floodplains: reforestation of large parcels and riparian zone conservation, in-channel interventions and connectivity preservation, and flow augmentation. Complete restoration of the floodplain may not be an acceptable option to the agriculture community. However, in most cases the application of even the most basic measures can support the return of sensitive aquatic species. We suggest that together these types of conservation actions can bring improved water properties to impacted reaches, higher reach biodiversity, more intolerant species, and more rheophilic fishes.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/ffwsc.2024.1365691","usgsCitation":"Killgore, K., Hoover, J., Miranda, L.E., Slack, W., Johnson, D.R., and Douglas, N.H., 2024, Fish conservation in streams of the agrarian Mississippi Alluvial Valley: Conceptual model, management actions, and field verification: Frontiers in Freshwater Science, v. 2, 1365691, 15 p., https://doi.org/10.3389/ffwsc.2024.1365691.","productDescription":"1365691, 15 p.","ipdsId":"IP-152696","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":440393,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffwsc.2024.1365691","text":"Publisher Index Page"},{"id":433042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi Alluvial Valle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.4948221585292,\n              28.641330031026257\n            ],\n            [\n              -87.48505653352923,\n              28.641330031026257\n            ],\n            [\n              -87.48505653352923,\n              37.88257249549886\n            ],\n            [\n              -92.4948221585292,\n              37.88257249549886\n            ],\n            [\n              -92.4948221585292,\n              28.641330031026257\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2024-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Killgore, K.J.","contributorId":200191,"corporation":false,"usgs":false,"family":"Killgore","given":"K.J.","email":"","affiliations":[{"id":33009,"text":"Engineer Research and Development Center, U. S. Army Corps of Engineers, Vicksburg, Mississippi","active":true,"usgs":false}],"preferred":false,"id":908075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoover, J.J.","contributorId":341202,"corporation":false,"usgs":false,"family":"Hoover","given":"J.J.","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":908076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slack, W.T.","contributorId":341203,"corporation":false,"usgs":false,"family":"Slack","given":"W.T.","email":"","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":908078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, David R.","contributorId":343537,"corporation":false,"usgs":false,"family":"Johnson","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":911368,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Douglas, Neil H.","contributorId":343538,"corporation":false,"usgs":false,"family":"Douglas","given":"Neil","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":911369,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70255935,"text":"70255935 - 2024 - Geographic distribution of feather δ34S in Europe","interactions":[],"lastModifiedDate":"2024-07-11T14:09:08.653681","indexId":"70255935","displayToPublicDate":"2024-02-15T09:00:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Geographic distribution of feather δ<usp>34</sup>S in Europe","title":"Geographic distribution of feather δ34S in Europe","docAbstract":"<p><span>Geographic distribution models of environmentally stable isotopes (the so-called “isoscapes”) are widely employed in animal ecology, and wildlife forensics and conservation. However, the application of isoscapes is limited to elements and regions for which the spatial patterns have been estimated. Here, we focused on the ubiquitous yet less commonly used stable sulfur isotopes (δ</span><sup>34</sup><span>S). To predict the European δ</span><sup>34</sup><span>S isoscape, we used 242 feather samples from Eurasian Reed Warbler (</span><i>Acrocephalus scirpaceus</i><span>) formed at 69 European wetland sites. We quantified the relationships between sample δ</span><sup>34</sup><span>S and environmental covariates using a random forest regression model and applied the model to predict the geographic distribution of δ</span><sup>34</sup><span>S. We also quantified within-site variation in δ</span><sup>34</sup><span>S and complementarity with other isotopes on both individual and isoscape levels. The predicted feather δ</span><sup>34</sup><span>S isoscape shows only slight differences between the central and southern parts of Europe while the coastal regions were most enriched in&nbsp;</span><sup>34</sup><span>S. The most important covariates of δ</span><sup>34</sup><span>S were distance to coastline, surface elevation, and atmospheric concentrations of SO</span><sub>2</sub><span>&nbsp;gases. The absence of a systematic spatial pattern impedes the application of the δ</span><sup>34</sup><span>S isoscape, but high complementarity with other isoscapes advocates the combination of multiple isoscapes to increase the precision of animal tracing. Feather δ</span><sup>34</sup><span>S compositions showed considerable within-site variation with highest values in inland parts of Europe, likely attributed to wetland anaerobic conditions and redox sensitivity of sulfur. The complex European geography and topography as well as using δ</span><sup>34</sup><span>S samples from wetlands may contribute to the absence of a systematic spatial gradient of δ</span><sup>34</sup><span>S values in Europe. We thus encourage future studies to focus on the geographic distribution of δ</span><sup>34</sup><span>S using tissues from diverse taxa collected in various habitats over large land masses in the world (i.e., Africa, South America, or East Asia).</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4690","usgsCitation":"Brlik, V., Procházka, P., Bontempo, L., Camin, F., Jiguet, F., Osvath, G., Stricker, C.A., Wunder, M., and Powell, R.L., 2024, Geographic distribution of feather δ34S in Europe: Ecosphere, v. 15, no. 2, e4690, 14 p., https://doi.org/10.1002/ecs2.4690.","productDescription":"e4690, 14 p.","ipdsId":"IP-146450","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":440398,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4690","text":"Publisher Index Page"},{"id":430959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europe","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              35.16374167173652,\n              62.27273745280422\n            ],\n            [\n              -10.613834422827864,\n              62.27273745280422\n            ],\n            [\n              -10.613834422827864,\n              35.9353636594584\n            ],\n            [\n              35.16374167173652,\n              35.9353636594584\n            ],\n            [\n              35.16374167173652,\n              62.27273745280422\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Brlik, Vojtech","contributorId":213771,"corporation":false,"usgs":false,"family":"Brlik","given":"Vojtech","email":"","affiliations":[{"id":38851,"text":"Ustav Biologie Obratlovcu Akademie ved Ceske Republiky","active":true,"usgs":false}],"preferred":false,"id":906073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Procházka, Petr","contributorId":289285,"corporation":false,"usgs":false,"family":"Procházka","given":"Petr","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":906074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bontempo, Luana 0000-0001-7583-1501","orcid":"https://orcid.org/0000-0001-7583-1501","contributorId":310371,"corporation":false,"usgs":false,"family":"Bontempo","given":"Luana","email":"","affiliations":[{"id":67155,"text":"Food Quality and Nutrition Department, Research and Innovation Centre, Adige, Italy","active":true,"usgs":false}],"preferred":false,"id":906075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Camin, Federica","contributorId":243295,"corporation":false,"usgs":false,"family":"Camin","given":"Federica","email":"","affiliations":[{"id":48677,"text":"University of Treno, Italy","active":true,"usgs":false}],"preferred":false,"id":906076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jiguet, Frederic","contributorId":174482,"corporation":false,"usgs":false,"family":"Jiguet","given":"Frederic","email":"","affiliations":[],"preferred":false,"id":906077,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osvath, Gergely","contributorId":340071,"corporation":false,"usgs":false,"family":"Osvath","given":"Gergely","email":"","affiliations":[],"preferred":false,"id":906078,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":906079,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wunder, Michael B.","contributorId":65406,"corporation":false,"usgs":false,"family":"Wunder","given":"Michael B.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":906080,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Powell, Rebecca L.","contributorId":340073,"corporation":false,"usgs":false,"family":"Powell","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":906081,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70257421,"text":"70257421 - 2024 - Estimating internal transmitter and external tag retention by Walleye in the Laurentian Great Lakes over multiple years","interactions":[],"lastModifiedDate":"2024-08-21T11:45:55.194724","indexId":"70257421","displayToPublicDate":"2024-02-15T06:44:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating internal transmitter and external tag retention by Walleye in the Laurentian Great Lakes over multiple years","docAbstract":"<h3 id=\"nafm10973-sec-0001-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Both electronic tags (e.g., acoustic and radio transmitters) and conventional external tags are used to evaluate movement and population dynamics of fish. External tags are also sometimes used to facilitate the recovery of internal electronic tags or other instrumentation because healing can make it difficult to identify fish with internal tags based on appearance alone. With both tag types, tag shedding and failure of electronic tags can affect accuracy and precision of study results.</p><h3 id=\"nafm10973-sec-0002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We used a decade (2011–2021) of recapture data for Walleye<span>&nbsp;</span><i>Sander vitreus</i><span>&nbsp;</span>tagged in the Laurentian Great Lakes, where fish were double- or triple-tagged with external tags (T-bar, loop, or internal anchor tags) and internal acoustic transmitters, to quantify external tag and internal transmitter shedding and transmitter failure rates.</p><h3 id=\"nafm10973-sec-0003-title\" class=\"article-section__sub-title section1\">Result</h3><p>In total, 1125 (33%) Walleye were recovered that had retained at least one external tag or internal transmitter. No confirmed cases of transmitter shedding were observed; 15 of 899 transmitters (2%) that were checked for functionality failed prior to the expected battery expiration. The retention of external T-bar tags 1 year after release differed depending on whether the tag was placed anterior or posterior to the secondary dorsal fin (anterior, fish length = 420 mm: 73% retention; anterior, fish length = 700 mm: 73%, posterior: 63%) but was &lt;26% after 4 years for both tag positions and fish sizes. Internal anchor tags had an 88% 1-year retention probability and 81% 4-year retention probability. Loop tags had the highest 1-year retention (89%) but after 4 years retention (28–34% depending on agency) was comparable to that of T-bar tags.</p><h3 id=\"nafm10973-sec-0004-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>Better understanding of tag retention characteristics through long-term tagging studies such as this can inform study design, be considered in model design, and ultimately improve inferences from mark–recapture studies.</p>","language":"English","publisher":"American Fisherie Society","doi":"10.1002/nafm.10973","usgsCitation":"Colborne, S., Faust, M., Brenden, T., Hayden, T., Robinson, J., MacDougall, T., Cook, H., Isermann, D.A., Dembkowski, D., Haffley, M., and Vandergoot, C., 2024, Estimating internal transmitter and external tag retention by Walleye in the Laurentian Great Lakes over multiple years: North American Journal of Fisheries Management, v. 44, no. 2, p. 377-393, https://doi.org/10.1002/nafm.10973.","productDescription":"17 p.","startPage":"377","endPage":"393","ipdsId":"IP-156407","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440411,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10973","text":"Publisher Index Page"},{"id":432991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Colborne, S.F.","contributorId":342705,"corporation":false,"usgs":false,"family":"Colborne","given":"S.F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":910293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faust, M.D.","contributorId":342707,"corporation":false,"usgs":false,"family":"Faust","given":"M.D.","email":"","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenden, T.O.","contributorId":342709,"corporation":false,"usgs":false,"family":"Brenden","given":"T.O.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":910295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayden, T.A.","contributorId":342711,"corporation":false,"usgs":false,"family":"Hayden","given":"T.A.","email":"","affiliations":[{"id":81915,"text":"Michigan Department of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":910296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, J.M.","contributorId":342712,"corporation":false,"usgs":false,"family":"Robinson","given":"J.M.","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":910297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"MacDougall, T.M.","contributorId":342713,"corporation":false,"usgs":false,"family":"MacDougall","given":"T.M.","email":"","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":910298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cook, H.A.","contributorId":342714,"corporation":false,"usgs":false,"family":"Cook","given":"H.A.","email":"","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":910299,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910300,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dembkowski, D.J.","contributorId":275185,"corporation":false,"usgs":false,"family":"Dembkowski","given":"D.J.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":910301,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Haffley, M.","contributorId":342715,"corporation":false,"usgs":false,"family":"Haffley","given":"M.","email":"","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":910302,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vandergoot, C.S.","contributorId":342716,"corporation":false,"usgs":false,"family":"Vandergoot","given":"C.S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":910303,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70251694,"text":"70251694 - 2024 - Lava flow impacts on the built environment: Insights from a new global dataset","interactions":[],"lastModifiedDate":"2024-02-23T12:49:29.020022","indexId":"70251694","displayToPublicDate":"2024-02-15T06:43:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3841,"text":"Journal of Applied Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Lava flow impacts on the built environment: Insights from a new global dataset","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The recent destruction of thousands of homes by lava flows from La Palma volcano, Canary Islands, and Nyiragongo volcano, Democratic Republic of Congo, serves as a reminder of the devastating impact that lava flows can have on communities living in volcanically active regions. Damage to buildings and infrastructure can have widespread and long-lasting effects on rehabilitation and livelihoods. Our understanding of how lava flows interact with buildings is limited and based upon sparse empirical data. Often a binary impact is assumed (destroyed when in contact with the flow and intact when not in contact with the flow), although previous events have shown this to be an oversimplification. Empirical damage data collected after past events provide an evidence base from which to better understand lava flow impacts across a range of building types, environments, and eruption styles, as well as to explore the temporal and spatial trends in these impacts. However, information on lava flow impacts is scattered across literature, reports, and maps; no comprehensive dataset of lava flow impacts exists. In this study, we compile and standardise lava flow impact information from previously compiled data, eruption records, and published literature to create the first comprehensive global dataset of impacts on the built environment from lava flows. We found that since the first recorded event between 5494&nbsp;yr B.P. and 5387&nbsp;yr B.P., lava flows from at least 155 events have impacted buildings or infrastructure (e.g., roads, electricity pylons, ski-lifts), with most (47%,<span>&nbsp;</span><i>n</i> = 73) recorded as located in Europe. Over the last century, there have been approximately seven lava flow impact events per decade (<i>n</i> = 71 total). This greatly expands on the past compilations of lava flow impact events. Since ca. 1800 CE, impacts have been consistently documented for less than 14% of recorded eruptions with lava flows globally; prior to 1800 CE, impacts were recorded much more variably (between 0 and 70% of lava flows in any 10-year time bin). The most destructive recorded events were the 1669 CE lava flows at Etna volcano, Italy, which destroyed up to 12 villages and part of the city of Catania, and the 2002 CE lava flows at Nyiragongo volcano, Democratic Republic of Congo, which destroyed up to 14,000 buildings. We found that few studies in the dataset report building typology, damage severity, or hazard intensity at the building-level scale, limiting our ability to assess past building-lava interactions. Future collection of building-level hazard and impact data, supplemented with non-English language records, can be used to inform models that forecast future impacts, support lava flow risk assessments, and develop potential mitigation measures.</p></div></div>","language":"English","publisher":"Springer Nature","doi":"10.1186/s13617-023-00140-7","usgsCitation":"Meredith, E.S., Jenkins, S.F., Hayes, J.L., Lallemant, D., Deligne, N.I., and Teng Rui Xue, N., 2024, Lava flow impacts on the built environment: Insights from a new global dataset: Journal of Applied Volcanology, v. 13, 1, 19 p., https://doi.org/10.1186/s13617-023-00140-7.","productDescription":"1, 19 p.","ipdsId":"IP-150612","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":440413,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13617-023-00140-7","text":"Publisher Index Page"},{"id":425929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2024-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Meredith, Elinor S. 0000-0002-3869-1180","orcid":"https://orcid.org/0000-0002-3869-1180","contributorId":270269,"corporation":false,"usgs":false,"family":"Meredith","given":"Elinor","email":"","middleInitial":"S.","affiliations":[{"id":56128,"text":"Earth Observatory of Singapore, Singapore","active":true,"usgs":false}],"preferred":false,"id":895325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Susanna F. 0000-0002-7523-1423","orcid":"https://orcid.org/0000-0002-7523-1423","contributorId":270268,"corporation":false,"usgs":false,"family":"Jenkins","given":"Susanna","email":"","middleInitial":"F.","affiliations":[{"id":56128,"text":"Earth Observatory of Singapore, Singapore","active":true,"usgs":false}],"preferred":false,"id":895326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Josh L. 0000-0001-7099-1063","orcid":"https://orcid.org/0000-0001-7099-1063","contributorId":270275,"corporation":false,"usgs":false,"family":"Hayes","given":"Josh","email":"","middleInitial":"L.","affiliations":[{"id":56128,"text":"Earth Observatory of Singapore, Singapore","active":true,"usgs":false}],"preferred":false,"id":895327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lallemant, David","contributorId":334346,"corporation":false,"usgs":false,"family":"Lallemant","given":"David","affiliations":[{"id":16631,"text":"Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":895328,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deligne, Natalia I. 0000-0001-9221-8581","orcid":"https://orcid.org/0000-0001-9221-8581","contributorId":257389,"corporation":false,"usgs":true,"family":"Deligne","given":"Natalia","email":"","middleInitial":"I.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":895329,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Teng Rui Xue, Natalie","contributorId":334347,"corporation":false,"usgs":false,"family":"Teng Rui Xue","given":"Natalie","email":"","affiliations":[{"id":16631,"text":"Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":895330,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251563,"text":"70251563 - 2024 - Deformation-induced graphitization and muscovite recrystallization in a ductile fault zone","interactions":[],"lastModifiedDate":"2024-04-10T15:54:48.371936","indexId":"70251563","displayToPublicDate":"2024-02-14T06:51:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2389,"text":"Journal of Metamorphic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Deformation-induced graphitization and muscovite recrystallization in a ductile fault zone","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>A suite of slate samples collected along a 2 km transect crossing the Lishan fault in central Taiwan were evaluated to assess the role of ductile deformation in natural graphitization at lower greenschist facies metamorphic conditions. The process of natural aromatization, or graphitization, of an organic precursor is well established as a thermally driven process; however, experimental studies have shown that the energy provided by deformation can substantially reduce the activation energy required for graphitization. This study provides a natural example of deformation-induced graphitization. A strain gradient approaching the Lishan fault was established by scanning electron microscope imaging and X-ray diffraction analysis of phyllosilicates and quartz that showed an increase in the strength of slaty cleavage development via dissolution-precipitation processes. Thermal conditions were constrained to be near isothermal using calcite-dolomite geothermometry. Raman spectroscopic results from carbonaceous material, including D1-full width-at-half-maximum (FWHM), G-FWHM, Raman band separation (RBS), and a lesser-known vibrational mode B<sub>2g</sub>-FWHM, showed robust linear trends across the same sampling transect. However, the G-FWHM parameter showed a trend opposite of that expected from thermally driven graphitization. The Raman results are interpreted to reflect a strain-driven reduction in graphite crystallite size (decrease in G-FWHM) but improvement in structural ordering in individual coherent domains. A multiple linear regression with an<span>&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;</span>value of 0.92 predicts the graphite D1-FWHM values from the XRD-derived ratio of muscovite populations and muscovite microstrain, demonstrating the concomitant recrystallization of silicates and carbonaceous material across the strain gradient, despite the disparate processes accommodating the deformation. This study demonstrates the role of deformation in natural graphitization and provides a new perspective on the use of graphite as a geothermometer in strongly deformed greenschist facies rocks.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/jmg.12763","usgsCitation":"Stokes, M., Jubb, A., McAleer, R.J., Bish, D., and Wintsch, R., 2024, Deformation-induced graphitization and muscovite recrystallization in a ductile fault zone: Journal of Metamorphic Geology, v. 42, no. 4, p. 529-550, https://doi.org/10.1111/jmg.12763.","productDescription":"22 p.","startPage":"529","endPage":"550","ipdsId":"IP-157100","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":440418,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jmg.12763","text":"Publisher Index Page"},{"id":425716,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Stokes, Martha 0000-0002-2838-8380","orcid":"https://orcid.org/0000-0002-2838-8380","contributorId":269608,"corporation":false,"usgs":true,"family":"Stokes","given":"Martha","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":894944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":894945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":894946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bish, David","contributorId":291943,"corporation":false,"usgs":false,"family":"Bish","given":"David","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":894948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wintsch, Robert","contributorId":291944,"corporation":false,"usgs":false,"family":"Wintsch","given":"Robert","affiliations":[{"id":13546,"text":"Wesleyan University","active":true,"usgs":false}],"preferred":false,"id":894947,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251726,"text":"70251726 - 2024 - Identifying conservation introduction sites for endangered birds through the integration of lidar-based habitat suitability models and population viability analyses","interactions":[],"lastModifiedDate":"2024-02-26T12:19:58.792626","indexId":"70251726","displayToPublicDate":"2024-02-14T06:18:26","publicationYear":"2024","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":"Identifying conservation introduction sites for endangered birds through the integration of lidar-based habitat suitability models and population viability analyses","docAbstract":"<div class=\"html-p\">Similar to other single-island endemic Hawaiian honeycreepers, the critically endangered ‘ākohekohe (<span class=\"html-italic\">Palmeria dolei</span>) is threatened by climate-driven disease spread. To avert the imminent risk of extinction, managers are considering novel measures, including the conservation introduction (CI) of ‘ākohekohe from Maui to higher elevation habitats on the Island of Hawai’i. This study integrated lidar-based habitat suitability models (LHSMs) and population viability analyses (PVAs) to assess five candidate sites currently considered by managers for CI. We first developed an LHSM for the species’ native range on Maui. We then projected habitat suitability across candidate CI sites, using forest structure and topography metrics standardized across sensor types. Given the structural variability observed within the five candidate sites, we identified clusters of contiguous, highly suitable habitat as potential release sites. We then determined how many adult individuals could be supported by each cluster based on adult home range estimates. To determine which clusters could house the minimum number of ‘ākohekohe birds necessary for a stable or increasing future population, we conducted PVAs under multiple scenarios of bird releases. We found that canopy height and relative height 90 had the greatest effects on model performance, possibly reflecting ‘ākohekohe’s preference for taller canopies. We found that a small release of at least nine pairs of equal sex ratios were sufficient for an 80% chance of success and a &lt;1% chance of extirpation in 20 years, resulting in a minimum release area of 4.5 ha in size. We integrated the results of the LHSM and PVA into an interactive web application that allowed managers to consider the caveats and uncertainties associated with both LHSMs and PVAs in their decision-making process. As climate change continues to threaten species worldwide, this research demonstrates the value of lidar remote sensing combined with species-specific models to enable rapid, quantitative assessments that can inform the increasing consideration of time-sensitive conservation introductions.</div>","language":"English","publisher":"MDPI","doi":"10.3390/rs16040680","usgsCitation":"Fortini, L., Gallerani, E., Warren, C.C., and Paxton, E.H., 2024, Identifying conservation introduction sites for endangered birds through the integration of lidar-based habitat suitability models and population viability analyses: Remote Sensing, v. 16, no. 4, 680, 32 p., https://doi.org/10.3390/rs16040680.","productDescription":"680, 32 p.","ipdsId":"IP-161606","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":440424,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16040680","text":"Publisher Index Page"},{"id":435040,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1CEQA9X","text":"USGS data release","linkHelpText":"Island of Hawaiʻi lidar-based habitat suitability for ʻākohekohe (Palmeria dolei) conservation introductions, 2023"},{"id":425977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.47768844158009,\n              20.417724879544323\n            ],\n            [\n              -156.47768844158009,\n              18.668082067640228\n            ],\n            [\n              -154.55508101970514,\n              18.668082067640228\n            ],\n            [\n              -154.55508101970514,\n              20.417724879544323\n            ],\n            [\n              -156.47768844158009,\n              20.417724879544323\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":895391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallerani, Erica","contributorId":304638,"corporation":false,"usgs":false,"family":"Gallerani","given":"Erica","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":895392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warren, Christopher C","contributorId":264665,"corporation":false,"usgs":false,"family":"Warren","given":"Christopher","email":"","middleInitial":"C","affiliations":[{"id":54533,"text":"Maui Forest Bird Recovery Project, Pacific Cooperative Studies Unit, University of Hawai‘i at Manoa","active":true,"usgs":false}],"preferred":false,"id":895393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":895394,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251500,"text":"70251500 - 2024 - Incorporating intensity distance attenuation into PLUM ground-motion-based earthquake early warning in the United States: The APPLES configuration","interactions":[],"lastModifiedDate":"2024-02-14T12:53:05.598565","indexId":"70251500","displayToPublicDate":"2024-02-13T06:49:23","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating intensity distance attenuation into PLUM ground-motion-based earthquake early warning in the United States: The APPLES configuration","docAbstract":"<div class=\"article-section__content en main\"><p>We develop Attenuated ProPagation of Local Earthquake Shaking (APPLES), a new configuration for the United States West Coast version of the Propagation of Local Undamped Motion (PLUM) earthquake early warning (EEW) algorithm that incorporates attenuation into its ground-motion prediction procedures. Under APPLES, instead of using a fixed radius to forward-predict observed peak ground shaking to the area surrounding a seismic station, the forward-predicted intensity at a location depends on the distance from the station using an intensity prediction relationship. We conduct conceptual tests of maximum intensity distribution predictions in APPLES and PLUM using a catalog of ShakeMaps to confirm that the attenuation relationship in APPLES is appropriately modeling shaking distributions for West Coast earthquakes. Then, we run APPLES and PLUM in simulated real-time tests to determine warning time performance. Finally, we compare real-time alert behavior during the 2022<span>&nbsp;</span><strong>M</strong>6.4 Ferndale, California, earthquake and other recent events. We find that APPLES presents two potential improvements to PLUM by reducing over-alerting during smaller magnitude earthquakes and by increasing warning times in some locations during larger earthquakes. APPLES can produce missed and late alerts in locations that experience shaking intensities close to the level used to issue alerts, so preferred alerting strategies with APPLES would use alert thresholds that are lower than the intensities targeted for EEW alerts. We find alerts using APPLES are also similar to those for the source-based approaches currently used in the ShakeAlert EEW system, which will make APPLES easier to integrate into the system.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023EF004126","usgsCitation":"Saunders, J.K., Cochran, E.S., Bunn, J., Baltay Sundstrom, A.S., Minson, S.E., and O’Rourke, C.T., 2024, Incorporating intensity distance attenuation into PLUM ground-motion-based earthquake early warning in the United States: The APPLES configuration: Earth's Future, v. 12, no. 2, e2023EF004126, 27 p., https://doi.org/10.1029/2023EF004126.","productDescription":"e2023EF004126, 27 p.","ipdsId":"IP-156784","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":440440,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023ef004126","text":"Publisher Index Page"},{"id":425645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.7912590577915,\n              31.807923771759704\n            ],\n            [\n              -111.40844655779142,\n              32.18062326080302\n            ],\n            [\n              -112.37524343279156,\n              36.46139747042706\n            ],\n            [\n              -118.35180593279132,\n              39.98165655367819\n            ],\n            [\n              -115.36352468279132,\n              40.91798626511684\n            ],\n            [\n              -115.36352468279132,\n              44.90677112285391\n            ],\n            [\n              -115.45141530779141,\n              50.29312154218053\n            ],\n            [\n              -124.67993093279145,\n              50.29312154218053\n            ],\n            [\n              -126.87719655779124,\n              49.785086582509734\n            ],\n            [\n              -127.3166496827914,\n              41.38125075717247\n            ],\n            [\n              -125.38305593279136,\n              34.38459840527095\n            ],\n            [\n              -118.7912590577915,\n              31.807923771759704\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Saunders, Jessie K.","contributorId":334113,"corporation":false,"usgs":false,"family":"Saunders","given":"Jessie","email":"","middleInitial":"K.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":894742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":894743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunn, Julian","contributorId":216379,"corporation":false,"usgs":false,"family":"Bunn","given":"Julian","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":894744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":894745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":894746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Rourke, Colin T 0000-0001-5403-4685","orcid":"https://orcid.org/0000-0001-5403-4685","contributorId":290635,"corporation":false,"usgs":true,"family":"O’Rourke","given":"Colin","email":"","middleInitial":"T","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":894747,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251642,"text":"70251642 - 2024 - Population genetics of museum specimens indicate decreasing genetic resiliency: The case of two bumble bees of conservation concern","interactions":[],"lastModifiedDate":"2024-02-22T12:42:33.690968","indexId":"70251642","displayToPublicDate":"2024-02-13T06:40:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Population genetics of museum specimens indicate decreasing genetic resiliency: The case of two bumble bees of conservation concern","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0045\">Genetic resiliency is the likelihood that populations retain sufficient genetic diversity to respond to environmental change. It is rarely examined through time in conservation genetic studies due to challenges of acquiring and sequencing historical specimens. Focusing on populations of two sibling bumble bee species of conservation concern with different recent patterns of decline, we used museum specimens collected between 1960 and 2020 and 15 microsatellite markers to assess genetic resiliency (allelic richness, expected heterozygosity, and inbreeding) through time and across geographic space. We find evidence of decreasing allelic richness through time, starting at least 30&nbsp;years before observed abundance declines in one species and at least 20&nbsp;years before present in a species with apparently stable abundance. We also found increasing expected heterozygosity through time, indicating increased inbreeding, in the putatively stable species. We demonstrate that genetic measurements taken from specimens collected through time can be used to detect population decline in imperiled species before decreases in abundance are detected. We also demonstrate the importance of interpreting population genetic metrics within the context of historical patterns to assess species' conservation statuses. Finally, we discuss the limitations of currently available population genetic methods, including the influence of isolation by distance and sampling density on measurements of genetic structure, and the influence of demographic characteristics and choice of genetic markers on estimates of genetic diversity and structure. We call for further development of individual-based modeling methods to measure genetic structure, as opposed to commonly applied population-based metrics, to overcome these limitations.</p></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110453","usgsCitation":"Rhode, A., Branstetter, M., Mock, K., Knoblett, J., Pilliod, D., Everett, J., Galpern, P., and Strange, J.P., 2024, Population genetics of museum specimens indicate decreasing genetic resiliency: The case of two bumble bees of conservation concern: Biological Conservation, v. 291, 110453, https://doi.org/10.1016/j.biocon.2024.110453.","productDescription":"110453","ipdsId":"IP-149855","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":488189,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2024.110453","text":"Publisher Index Page"},{"id":435041,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DMUW9O","text":"USGS data release","linkHelpText":"Microsatellite genotypes of Bombus occidentalis specimens (including Bombus mckayi) from 1960 to 2020"},{"id":425854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"291","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rhode, Ashley 0000-0001-8403-2349","orcid":"https://orcid.org/0000-0001-8403-2349","contributorId":334270,"corporation":false,"usgs":false,"family":"Rhode","given":"Ashley","email":"","affiliations":[{"id":80097,"text":"1Department of Wildland Resources, Utah State University","active":true,"usgs":false}],"preferred":false,"id":895169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Branstetter, Michael","contributorId":244643,"corporation":false,"usgs":false,"family":"Branstetter","given":"Michael","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":895170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mock, Karen E.","contributorId":261782,"corporation":false,"usgs":false,"family":"Mock","given":"Karen E.","affiliations":[{"id":53016,"text":"Wildland Resources Department, 5230 Old Main Hill, Utah State University, Logan, UT 84322-5230","active":true,"usgs":false}],"preferred":false,"id":895171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knoblett, Joyce","contributorId":333044,"corporation":false,"usgs":false,"family":"Knoblett","given":"Joyce","email":"","affiliations":[{"id":36303,"text":"unknown","active":true,"usgs":false}],"preferred":false,"id":895172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pilliod, David 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":218009,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":895173,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Everett, Jeffrey","contributorId":302932,"corporation":false,"usgs":false,"family":"Everett","given":"Jeffrey","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":895174,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Galpern, Paul 0000-0003-0099-3981","orcid":"https://orcid.org/0000-0003-0099-3981","contributorId":333045,"corporation":false,"usgs":false,"family":"Galpern","given":"Paul","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":895175,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Strange, James P.","contributorId":224183,"corporation":false,"usgs":false,"family":"Strange","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":895176,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251597,"text":"70251597 - 2024 - Developing a photography-based harvest survey to estimate age and subspecies composition of midcontinent sandhill cranes","interactions":[],"lastModifiedDate":"2024-03-26T14:57:02.873617","indexId":"70251597","displayToPublicDate":"2024-02-13T06:04:16","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Developing a photography-based harvest survey to estimate age and subspecies composition of midcontinent sandhill cranes","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Midcontinent sandhill cranes (<i>Antigone canadensis</i>) are managed as a single population, but hunting regulations are structured so harvest is targeted towards the more numerous lesser sandhill cranes (<i>A. c. canadensis</i>). However, research indicates that greater sandhill cranes (<i>A. c. tabida</i>) have been disproportionally exposed to harvest at a rate exceeding their proportion within the midcontinent population. In addition, harvest has increased 22% per year in the U.S. Central Flyway states. The midcontinent population appears to be growing in recent years, but variability in annual abundance estimates has increased substantially. With limited resources and harvest management uncertainty increasing, we developed methods for a citizen science, photography-based harvest survey to estimate age and subspecies composition of harvested midcontinent sandhill cranes. To develop survey methods, we collected physical parts from 284 sandhill cranes in North Dakota in 2019 and 2020. We manually measured the culmen and tarsus using calipers, and digitally measured these parts using photographs and computer software. All digitally derived measurements were 2.5% to 5.9% larger than manual measurements; therefore, we developed linear models that adjusted digital measurements, facilitating subspecies prediction using an existing morphometric-based technique. In 2021, we requested an equal number of hunters to participate using 2 data collection methods to test if hunters could reliably take photographs suitable for digital measurement. Collection method 1 involved photographing the head and leg simultaneously, and Collection method 2 involved photographing the head only. Hunters submitted a total of 239 photographs. Only 80 of these photographs were submitted using Collection method 1, and 72% were suitable for digital measurement. Conversely, hunters submitted twice as many photographs using Collection method 2, and 88% of these photographs were deemed suitable. Although obtaining the tarsus measurement slightly improved subspecies predictability, Collection method 2 increased participation and usable data. We believe our results could be used to develop an operational survey of age and subspecies composition of midcontinent sandhill cranes, wherein a sample of crane hunters throughout the midcontinent population range would be asked to electronically submit a photograph of the head of each bird they harvest. A time series of age and subspecies composition of this population would provide managers with valuable information and improve harvest management at minimal additional cost and burden, compared to a traditional parts collection survey administered by mail.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.1512","usgsCitation":"Dinges, A.J., VonBank, J.A., Pearse, A.T., and Brandt, D.A., 2024, Developing a photography-based harvest survey to estimate age and subspecies composition of midcontinent sandhill cranes: Wildlife Society Bulletin, v. 48, no. 1, e1512, 16 p., https://doi.org/10.1002/wsb.1512.","productDescription":"e1512, 16 p.","ipdsId":"IP-154926","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":440449,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1512","text":"Publisher Index Page"},{"id":425782,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Dinges, Andrew J.","contributorId":145935,"corporation":false,"usgs":false,"family":"Dinges","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":894992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"VonBank, Jay Alan 0000-0002-4319-4998","orcid":"https://orcid.org/0000-0002-4319-4998","contributorId":305827,"corporation":false,"usgs":true,"family":"VonBank","given":"Jay","email":"","middleInitial":"Alan","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":894993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":894994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, David A. 0000-0001-9786-307X dbrandt@usgs.gov","orcid":"https://orcid.org/0000-0001-9786-307X","contributorId":149929,"corporation":false,"usgs":true,"family":"Brandt","given":"David","email":"dbrandt@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":894995,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257396,"text":"70257396 - 2024 - Net carbon sequestration implications of intensified timber harvest in Northeastern U.S. forests","interactions":[],"lastModifiedDate":"2024-08-28T22:47:28.603566","indexId":"70257396","displayToPublicDate":"2024-02-11T15:36:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Net carbon sequestration implications of intensified timber harvest in Northeastern U.S. forests","docAbstract":"<p><span>U.S. forests, particularly in the eastern states, provide an important offset to greenhouse gas (GHG) emissions. Some have proposed that forest-based natural climate solutions can be strengthened via a number of strategies, including increases in the production of forest biomass energy. We used output from a forest dynamics model (SORTIE-ND) in combination with a GHG accounting tool (ForGATE) to estimate the carbon consequences of current and intensified timber harvest regimes in the Northeastern United States. We considered a range of carbon pools including forest ecosystem pools, forest product pools, and waste pools, along with different scenarios of feedstock production for biomass energy. The business-as-usual (BAU) scenario, which represents current harvest practices derived from the analysis of U.S. Forest Service Forest Inventory and Analysis data, sequestered more net CO</span><sub>2</sub><span>&nbsp;equivalents than any of the intensified harvest and feedstock utilization scenarios over the next decade, the most important time period for combatting climate change. Increasing the intensity of timber harvest increased total emissions and reduced landscape average forest carbon stocks, resulting in reduced net carbon sequestration relative to current harvest regimes. Net carbon sequestration “parity points,” where the regional cumulative net carbon sequestration from alternate intensified harvest scenarios converge with and then exceed the BAU baseline, ranged from 12 to 40 years. A “no harvest” scenario provides an estimate of an upper bound on forest carbon sequestration in the region given the expected successional dynamics of the region's forests but ignores leakage. Regional net carbon sequestration is primarily influenced by (1) the harvest regime and amount of forest biomass removal, (2) the degree to which bioenergy displaces fossil fuel use, and (3) the proportion of biomass diverted to energy feedstocks versus wood products.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4758","usgsCitation":"Brown, M.L., Canham, C., Buchholz, T., Gunn, J.S., and Donovan, T.M., 2024, Net carbon sequestration implications of intensified timber harvest in Northeastern U.S. forests: Ecosphere, v. 15, no. 2, e4758, 17 p., https://doi.org/10.1002/ecs2.4758.","productDescription":"e4758, 17 p.","ipdsId":"IP-145783","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":486940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4758","text":"Publisher Index 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 \"}}]}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Michelle L.","contributorId":342622,"corporation":false,"usgs":false,"family":"Brown","given":"Michelle","email":"","middleInitial":"L.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":910228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canham, Charles D.","contributorId":342623,"corporation":false,"usgs":false,"family":"Canham","given":"Charles D.","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":910229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buchholz, Thomas","contributorId":342627,"corporation":false,"usgs":false,"family":"Buchholz","given":"Thomas","email":"","affiliations":[{"id":81895,"text":"Spatial Informatics 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,{"id":70251990,"text":"70251990 - 2024 - Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects","interactions":[],"lastModifiedDate":"2024-03-11T12:12:03.22485","indexId":"70251990","displayToPublicDate":"2024-02-11T07:10:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17172,"text":"Review of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects","docAbstract":"<div class=\"article-section__content en main\"><p>Lake thermal dynamics have been considerably impacted by climate change, with potential adverse effects on aquatic ecosystems. To better understand the potential impacts of future climate change on lake thermal dynamics and related processes, the use of mathematical models is essential. In this study, we provide a comprehensive review of lake water temperature modeling. We begin by discussing the physical concepts that regulate thermal dynamics in lakes, which serve as a primer for the description of process-based models. We then provide an overview of different sources of observational water temperature data, including in situ monitoring and satellite Earth observations, used in the field of lake water temperature modeling. We classify and review the various lake water temperature models available, and then discuss model performance, including commonly used performance metrics and optimization methods. Finally, we analyze emerging modeling approaches, including forecasting, digital twins, combining process-based modeling with deep learning, evaluating structural model differences through ensemble modeling, adapted water management, and coupling of climate and lake models. This review is aimed at a diverse group of professionals working in the fields of limnology and hydrology, including ecologists, biologists, physicists, engineers, and remote sensing researchers from the private and public sectors who are interested in understanding lake water temperature modeling and its potential applications.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023RG000816","usgsCitation":"Piccolroaz, S., Zhu, S., Ladwig, R., Carrea, L., Oliver, S.K., Piotrowski, A., Ptak, M., Shinohara, R., Sojka, M., Woolway, R., and Zhu, D.Z., 2024, Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects: Review of Geophysics, v. 62, no. 1, e2023RG000816, 52 p., https://doi.org/10.1029/2023RG000816.","productDescription":"e2023RG000816, 52 p.","ipdsId":"IP-158410","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":440458,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023rg000816","text":"Publisher Index Page"},{"id":426488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Piccolroaz, Sebastiano","contributorId":297277,"corporation":false,"usgs":false,"family":"Piccolroaz","given":"Sebastiano","affiliations":[{"id":64342,"text":"University of Trento, Department of Civil, Environmental and Mechanical Engineering, Trento, Italy","active":true,"usgs":false}],"preferred":false,"id":896231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Senlin","contributorId":334671,"corporation":false,"usgs":false,"family":"Zhu","given":"Senlin","email":"","affiliations":[{"id":80205,"text":"Yangzhou University","active":true,"usgs":false}],"preferred":false,"id":896232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ladwig, Robert","contributorId":265278,"corporation":false,"usgs":false,"family":"Ladwig","given":"Robert","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":896233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carrea, Laura","contributorId":334672,"corporation":false,"usgs":false,"family":"Carrea","given":"Laura","email":"","affiliations":[{"id":27392,"text":"University of Reading","active":true,"usgs":false}],"preferred":false,"id":896234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piotrowski, Adam","contributorId":334673,"corporation":false,"usgs":false,"family":"Piotrowski","given":"Adam","affiliations":[{"id":55688,"text":"Polish Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":896236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ptak, Mariusz","contributorId":334674,"corporation":false,"usgs":false,"family":"Ptak","given":"Mariusz","email":"","affiliations":[{"id":80207,"text":"Adam Mickiewicz University","active":true,"usgs":false}],"preferred":false,"id":896237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shinohara, Ryuichiro","contributorId":334675,"corporation":false,"usgs":false,"family":"Shinohara","given":"Ryuichiro","email":"","affiliations":[{"id":80209,"text":"National Institute for Environmental Studies, Tsukuba, Japan","active":true,"usgs":false}],"preferred":false,"id":896238,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sojka, Mariusz","contributorId":334676,"corporation":false,"usgs":false,"family":"Sojka","given":"Mariusz","email":"","affiliations":[{"id":80210,"text":"Poznan University of Life Sciences, Poland","active":true,"usgs":false}],"preferred":false,"id":896239,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Woolway, Richard","contributorId":334677,"corporation":false,"usgs":false,"family":"Woolway","given":"Richard","email":"","affiliations":[{"id":78631,"text":"Bangor University, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":896240,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhu, David Z.","contributorId":203996,"corporation":false,"usgs":false,"family":"Zhu","given":"David","email":"","middleInitial":"Z.","affiliations":[{"id":36793,"text":"Department of Civil and Environmental Engineering, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":896241,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70252525,"text":"70252525 - 2024 - Climate change will impact surface water extents and dynamics across the central United States","interactions":[],"lastModifiedDate":"2024-03-27T11:48:37.441998","indexId":"70252525","displayToPublicDate":"2024-02-11T06:47:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Climate change will impact surface water extents and dynamics across the central United States","docAbstract":"<div class=\"article-section__content en main\"><p>Climate change is projected to impact river, lake, and wetland hydrology, with global implications for the condition and productivity of aquatic ecosystems. We integrated Sentinel-1 and Sentinel-2 based algorithms to track monthly surface water extent (2017–2021) for 32 sites across the central United States (U.S.). Median surface water extent was highly variable across sites, ranging from 3.9% to 45.1% of a site. To account for landscape-based differences (e.g., water storage capacity, land use) in the response of surface water extents to meteorological conditions, individual statistical models were developed for each site. Future changes to climate were defined as the difference between 2006–2025 and 2061–2080 using MACA-CMIP5 (MACAv2-METDATA) Global Circulation Models. Time series of climate change adjusted surface water extents were projected. Annually, 19 of the 32 sites under RCP4.5 and 22 of the 32 sites under RCP8.5 were projected to show an average decline in surface water extent, with drying most consistent across the southeast central, southwest central, and midwest central U.S. Projected declines under surface water dry conditions at these sites suggest greater impacts of drought events are likely in the future. Projected changes were seasonally variable, with the greatest decline in surface water extent expected in summer and fall seasons. In contrast, many north central sites showed a projected increase in surface water in most seasons, relative to the 2017–2021 period, likely attributable to projected increases in winter and spring precipitation exceeding increases in projected temperature.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023EF004106","usgsCitation":"Vanderhoof, M.K., Christensen, J.R., Alexander, L., Lane, C., and Golden, H.E., 2024, Climate change will impact surface water extents and dynamics across the central United States: Earth's Future, v. 12, no. 2, e2023EF004106, 31 p., https://doi.org/10.1029/2023EF004106.","productDescription":"e2023EF004106, 31 p.","ipdsId":"IP-156206","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":440460,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023ef004106","text":"Publisher Index Page"},{"id":435043,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UOACNH","text":"USGS data release","linkHelpText":"Data release for climate change impacts on surface water extents across the central United States"},{"id":427133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":897414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Jay R.","contributorId":238115,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","middleInitial":"R.","affiliations":[],"preferred":false,"id":897415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Laurie C.","contributorId":138989,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":897416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":897417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":897418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251450,"text":"70251450 - 2024 - Uranium redox and deposition transitions embedded in deep-time geochemical models and mineral chemistry networks","interactions":[],"lastModifiedDate":"2024-02-13T15:19:11.838145","indexId":"70251450","displayToPublicDate":"2024-02-09T09:07:16","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Uranium redox and deposition transitions embedded in deep-time geochemical models and mineral chemistry networks","docAbstract":"<p><span>Uranium (U) is an important global energy resource and a redox sensitive trace element that reflects changing environmental conditions and geochemical cycling. The redox evolution of U mineral chemistry can be interrogated to understand the formation and distribution of U deposits and the redox processes involved in U geochemistry throughout Earth history. In this study, geochemical modeling using thermodynamic data, and mineral chemistry network analysis are used to investigate U geochemistry and deposition through time. The number of U</span><sup>6+</sup><span>&nbsp;mineral localities surpasses the number of U</span><sup>4+</sup><span>&nbsp;mineral localities in the Paleoproterozoic. Moreover, the number of sedimentary U</span><sup>6+</sup><span>&nbsp;mineral localities increases earlier in the Phanerozoic than the number of U</span><sup>4+</sup><span>&nbsp;sedimentary mineral localities, likely due to the necessity of sufficient sedimentary organic matter to reduce U</span><sup>6+</sup><span>–U</span><sup>4+</sup><span>. Indeed, modeling calculations indicate that increased oxidative weathering due to surface oxygenation limited U</span><sup>4+</sup><span>&nbsp;uraninite (UO</span><sub>2</sub><span>) formation from weathered granite and basalt. Louvain network community detection shows that U</span><sup>6+</sup><span>&nbsp;forms minerals with many more shared elements and redox states than U</span><sup>4+</sup><span>. The range of weighted Mineral Element Electronegativity Coefficient of Variation (wMEE</span><sub>CV</sub><span>) values of U</span><sup>6+</sup><span>&nbsp;minerals increases through time, particularly during the Phanerozoic. Conversely, the range of wMEE</span><sub>CV</sub><span>&nbsp;values of U</span><sup>4+</sup><span>&nbsp;minerals is consistent through time due to the relative abundance of uraninite, coffinite, and brannerite. The late oxidation and formation of U</span><sup>6+</sup><span>&nbsp;minerals compared to S</span><sup>6+</sup><span>&nbsp;minerals illustrates the importance of the development of land plants, organic matter deposition, and redox-controlled U deposition from ground water in continental sediments during this time-period.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC011267","usgsCitation":"Moore, E.K., Li, J., Zhang, A., Hao, J., Morrison, S.M., Hummer, D., and Yee, N., 2024, Uranium redox and deposition transitions embedded in deep-time geochemical models and mineral chemistry networks: Geochemistry, Geophysics, Geosystems, v. 25, no. 2, e2023GC011267, 16 p., https://doi.org/10.1029/2023GC011267.","productDescription":"e2023GC011267, 16 p.","ipdsId":"IP-157203","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":440464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc011267","text":"Publisher Index Page"},{"id":425607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Elisha Kelly 0000-0002-9750-7769","orcid":"https://orcid.org/0000-0002-9750-7769","contributorId":334043,"corporation":false,"usgs":true,"family":"Moore","given":"Elisha","email":"","middleInitial":"Kelly","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":894605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, J.","contributorId":189495,"corporation":false,"usgs":false,"family":"Li","given":"J.","email":"","affiliations":[],"preferred":false,"id":894606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Ao","contributorId":334045,"corporation":false,"usgs":false,"family":"Zhang","given":"Ao","email":"","affiliations":[{"id":80053,"text":"Deep Space Exploration Laboratory/Chinese Academy of Sciences Key Laboratory of Crust-Mantle Materials and Environments, University of Science and Technology of China, Hefei 230026, China","active":true,"usgs":false}],"preferred":false,"id":894607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hao, Jihua","contributorId":334047,"corporation":false,"usgs":false,"family":"Hao","given":"Jihua","email":"","affiliations":[{"id":80053,"text":"Deep Space Exploration Laboratory/Chinese Academy of Sciences Key Laboratory of Crust-Mantle Materials and Environments, University of Science and Technology of China, Hefei 230026, China","active":true,"usgs":false}],"preferred":false,"id":894608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrison, Shaunna M.","contributorId":261814,"corporation":false,"usgs":false,"family":"Morrison","given":"Shaunna","email":"","middleInitial":"M.","affiliations":[{"id":53026,"text":"Carnegie Institute for Science","active":true,"usgs":false}],"preferred":false,"id":894609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hummer, Daniel","contributorId":334048,"corporation":false,"usgs":false,"family":"Hummer","given":"Daniel","email":"","affiliations":[{"id":80056,"text":"School of Earth Systems and Sustainability, Southern Illinois University, Carbondale, Il, United States","active":true,"usgs":false}],"preferred":false,"id":894610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yee, Nathan 0000-0002-1023-5271","orcid":"https://orcid.org/0000-0002-1023-5271","contributorId":245952,"corporation":false,"usgs":false,"family":"Yee","given":"Nathan","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":894611,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251767,"text":"70251767 - 2024 - Quantitative microbial risk assessment for ingestion of antibiotic resistance genes from private wells contaminated by human and livestock fecal sources","interactions":[],"lastModifiedDate":"2024-04-10T15:59:44.068078","indexId":"70251767","displayToPublicDate":"2024-02-09T08:51:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative microbial risk assessment for ingestion of antibiotic resistance genes from private wells contaminated by human and livestock fecal sources","docAbstract":"<p><span>We used quantitative microbial risk assessment to estimate ingestion risk for&nbsp;</span><i>intI1</i><span>,&nbsp;</span><i>erm</i><span>(B),&nbsp;</span><i>sul1</i><span>,&nbsp;</span><i>tet</i><span>(A),&nbsp;</span><i>tet</i><span>(W), and&nbsp;</span><i>tet</i><span>(X) in private wells contaminated by human and/or livestock feces. Genes were quantified with five human-specific and six bovine-specific microbial source-tracking (MST) markers in 138 well-water samples from a rural Wisconsin county. Daily ingestion risk (probability of swallowing ≥1 gene) was based on daily water consumption and a Poisson exposure model. Calculations were stratified by MST source and soil depth over the aquifer where wells were drilled. Relative ingestion risk was estimated using wells with no MST detections and &gt;6.1 m soil depth as a referent category. Daily ingestion risk varied from 0 to 8.8 × 10</span><sup>−1</sup><span>&nbsp;by gene and fecal source (i.e., human or bovine). The estimated number of residents ingesting target genes from private wells varied from 910 (</span><i>tet</i><span>(A)) to 1,500 (</span><i>intI1</i><span>&nbsp;and&nbsp;</span><i>tet</i><span>(X)) per day out of 12,000 total. Relative risk of&nbsp;</span><i>tet</i><span>(A) ingestion was significantly higher in wells with MST markers detected, including wells with ≤6.1 m soil depth contaminated by bovine markers (2.2 [90% CI: 1.1–4.7]), wells with &gt;6.1 m soil depth contaminated by bovine markers (1.8 [1.002–3.9]), and wells with ≤6.1 m soil depth contaminated by bovine and human markers simultaneously (3.1 [1.7–6.5]). Antibiotic resistance genes (ARGs) were not necessarily present in viable microorganisms, and ingestion is not directly associated with infection. However, results illustrate relative contributions of human and livestock fecal sources to ARG exposure and highlight rural groundwater as a significant point of exposure.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/aem.01629-23","usgsCitation":"Burch, T., Stokdyk, J.P., Durso, L., and Borchardt, M.A., 2024, Quantitative microbial risk assessment for ingestion of antibiotic resistance genes from private wells contaminated by human and livestock fecal sources: Applied and Environmental Microbiology, v. 90, no. 3, e01629-23, 17 p., https://doi.org/10.1128/aem.01629-23.","productDescription":"e01629-23, 17 p.","ipdsId":"IP-157731","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":440465,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10952444","text":"External Repository"},{"id":426052,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Kewaunee County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-87.3761,44.6754],[-87.3774,44.674],[-87.381,44.6636],[-87.3858,44.6545],[-87.3911,44.6473],[-87.3944,44.6442],[-87.3966,44.6378],[-87.4045,44.6302],[-87.4085,44.6257],[-87.4137,44.6235],[-87.4223,44.6145],[-87.4263,44.61],[-87.4341,44.6056],[-87.442,44.6011],[-87.4428,44.5934],[-87.4468,44.5893],[-87.4502,44.5816],[-87.4544,44.5721],[-87.4604,44.5622],[-87.4664,44.555],[-87.4738,44.5455],[-87.476,44.5369],[-87.4761,44.5305],[-87.4796,44.5223],[-87.4851,44.5106],[-87.488,44.4974],[-87.4959,44.4706],[-87.5046,44.4575],[-87.5041,44.4534],[-87.5062,44.4457],[-87.5064,44.4375],[-87.5074,44.4279],[-87.5121,44.4188],[-87.5163,44.408],[-87.5191,44.3998],[-87.5212,44.3907],[-87.5209,44.3816],[-87.5218,44.3734],[-87.5232,44.3688],[-87.5279,44.3602],[-87.5351,44.3521],[-87.5386,44.3422],[-87.5368,44.338],[-87.5408,44.3331],[-87.5454,44.3277],[-87.6445,44.3273],[-87.7665,44.3271],[-87.7655,44.4146],[-87.7646,44.5017],[-87.7643,44.5888],[-87.7628,44.6477],[-87.7582,44.6522],[-87.7555,44.6558],[-87.7547,44.6608],[-87.7507,44.6667],[-87.7435,44.673],[-87.7389,44.6775],[-87.6413,44.6757],[-87.5193,44.6753],[-87.4384,44.6754],[-87.3973,44.6753],[-87.3761,44.6754]]]},\"properties\":{\"name\":\"Kewaunee\",\"state\":\"WI\"}}]}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":895475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":895476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Durso, Lisa","contributorId":300169,"corporation":false,"usgs":false,"family":"Durso","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":895477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":895478,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264173,"text":"70264173 - 2024 - Current status of the community sensor model standard for the generation of planetary digital terrain models","interactions":[],"lastModifiedDate":"2025-03-07T15:31:29.14539","indexId":"70264173","displayToPublicDate":"2024-02-09T08:25:31","publicationYear":"2024","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":"Current status of the community sensor model standard for the generation of planetary digital terrain models","docAbstract":"<p><span>The creation of accurate elevation models (topography) from stereo images are critical for a large variety of geospatial activities, including the production of digital orthomosaics, change detection, landing site analysis, geologic mapping, rover traverse planning, and spectral analysis. The United Stated Geological Survey, Astrogeology Science Center, continues to transition the supported planetary sensor models to the Community Sensor Model (CSM) standard. This paper describes the current state of use for this photogrammetric standard, supported sensor model types, and qualitatively compares derived topography between SOCET SET and SOCET GXP (</span><sup>®</sup><span>BAE Systems) using HiRISE stereo images of Mars. Our transition to the CSM standard will ensure an uninterrupted capability to make these valuable products for Mars and many other extraterrestrial planets and moons.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs16040648","usgsCitation":"Hare, T.M., Kirk, R.L., Bland, M.T., Galuszka, D.M., Laura, J., Mayer, D., Redding, B.L., and Wheeler, B.H., 2024, Current status of the community sensor model standard for the generation of planetary digital terrain models: Remote Sensing, v. 16, no. 4, 648, 16 p., https://doi.org/10.3390/rs16040648.","productDescription":"648, 16 p.","ipdsId":"IP-176612","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16040648","text":"Publisher Index Page"},{"id":483054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galuszka, Donna M. 0000-0003-1870-1182 dgaluszka@usgs.gov","orcid":"https://orcid.org/0000-0003-1870-1182","contributorId":3186,"corporation":false,"usgs":true,"family":"Galuszka","given":"Donna","email":"dgaluszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laura, Jason 0000-0002-1377-8159","orcid":"https://orcid.org/0000-0002-1377-8159","contributorId":222124,"corporation":false,"usgs":true,"family":"Laura","given":"Jason","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930007,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayer, David 0000-0001-8351-1807","orcid":"https://orcid.org/0000-0001-8351-1807","contributorId":215429,"corporation":false,"usgs":true,"family":"Mayer","given":"David","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930008,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Redding, Bonnie L. 0000-0001-8178-1467 bredding@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-1467","contributorId":4798,"corporation":false,"usgs":true,"family":"Redding","given":"Bonnie","email":"bredding@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930009,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wheeler, Benjamin H 0000-0001-7070-9064 bwheeler@usgs.gov","orcid":"https://orcid.org/0000-0001-7070-9064","contributorId":290755,"corporation":false,"usgs":true,"family":"Wheeler","given":"Benjamin","email":"bwheeler@usgs.gov","middleInitial":"H","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930010,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70252723,"text":"70252723 - 2024 - Geoelectric evidence for a wide spatial footprint of active extension in central Colorado","interactions":[],"lastModifiedDate":"2024-04-03T12:11:52.169055","indexId":"70252723","displayToPublicDate":"2024-02-09T07:09:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geoelectric evidence for a wide spatial footprint of active extension in central Colorado","docAbstract":"<div id=\"142602088\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Three-dimensional magnetotelluric (MT) imaging in central Colorado reveals a set of north-striking high-conductivity tracks at lower-crustal (50–20 km) depths, with conductive finger-like structures rising off these tracks into the middle crust (20–5 km depth). We interpret these features to represent saline aqueous fluids and partial melt that are products of active extensional tectonomagmatism. These conductors are distributed over a wider region than the narrow corridor along which Rio Grande rift structures are traditionally mapped at the surface, and they consequently demarcate regions of the lower crust where accommodation of bulk extensional strain has concentrated conductive phases. Our observations reveal limitations in existing models of Rio Grande rift activity and may reflect unrecognized spatiotemporal variations in rift system evolution globally.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G51517.1","usgsCitation":"Murphy, B., Caine, J., Bedrosian, P.A., and Crosbie, K.J., 2024, Geoelectric evidence for a wide spatial footprint of active extension in central Colorado: Geology, v. 52, no. 4, p. 314-318, https://doi.org/10.1130/G51517.1.","productDescription":"5 p.","startPage":"314","endPage":"318","ipdsId":"IP-159817","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":440471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g51517.1","text":"Publisher Index Page"},{"id":427348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.64600284520861,\n              40.91393032777182\n            ],\n            [\n              -107.63428409520837,\n              40.91393032777182\n            ],\n            [\n              -107.63428409520837,\n              38.273122524963895\n            ],\n            [\n              -104.64600284520861,\n              38.273122524963895\n            ],\n            [\n              -104.64600284520861,\n              40.91393032777182\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"52","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Benjamin S. 0000-0001-7636-3711","orcid":"https://orcid.org/0000-0001-7636-3711","contributorId":221483,"corporation":false,"usgs":false,"family":"Murphy","given":"Benjamin S.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":897994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":897995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":897996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crosbie, Kayla J 0000-0002-2724-1264","orcid":"https://orcid.org/0000-0002-2724-1264","contributorId":289565,"corporation":false,"usgs":true,"family":"Crosbie","given":"Kayla","email":"","middleInitial":"J","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":897997,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252544,"text":"70252544 - 2024 - The noise is the signal: Spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America","interactions":[],"lastModifiedDate":"2024-03-28T12:07:04.982867","indexId":"70252544","displayToPublicDate":"2024-02-09T07:01:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"The noise is the signal: Spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America","docAbstract":"<div class=\"JournalAbstract\"><p>There are expectations that increasing temperatures will lead to significant changes in structure and function of montane meadows, including greater water stress on vegetation and lowered vegetation production and productivity. We evaluated spatio-temporal dynamics in production and productivity in meadows within the Sierra Nevada mountain range of North America by: (1) compiling Landsat satellite data for the Normalized Difference Vegetation Index (NDVI) across a 37-year period (1985–2021) for 8,095 meadows &gt;2,500 m elevation; then, (2) used state-space models, changepoint analysis, geographically-weighted regression (GWR), and distance-decay analysis (DDA) to: (a) identify meadows with decreasing, increasing or no trends for NDVI; (b) detect meadows with abrupt changes (changepoints) in NDVI; and (c) evaluate variation along gradients of latitude, longitude, and elevation for eight indices of temporal dynamics in annual production (mean growing season NDVI; MGS) and productivity (rate of spring greenup; RSP). Meadows with no long-term change or evidence of increasing NDVI were 2.6x more frequent as those with decreasing NDVI (72% vs. 28%). Abrupt changes in NDVI were detected in 48% of the meadows; they occurred in every year of the study and with no indication that their frequency had changed over time. The intermixing of meadows with different temporal dynamics was a consistent pattern for monthly NDVI and, especially, the eight annual indices of MGS and RSP. The DDA showed temporal dynamics in pairs of meadow within a few 100 m of each other were often as different as those hundreds of kilometers apart. Our findings point strongly toward a great diversity of temporal dynamics in meadow production and productivity in the SNV. The heterogeneity in spatial patterns indicated that production and productivity of meadow vegetation is being driven by interplay among climatic, physiographic and biotic factors at basin and meadow scales. Thus, when evaluating spatio-temporal dynamics in condition for many high elevation meadow systems, what might often be considered “noise” may provide greater insight than a “signal” embedded within a large amount of variability.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2023.1184918","usgsCitation":"Klinger, R.C., Stephenson, T., Letchinger, J., Stephenson, L., and Jacobs, S., 2024, The noise is the signal: Spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America: Frontiers in Ecology and Evolution, v. 11, 1184918, 20 p., https://doi.org/10.3389/fevo.2023.1184918.","productDescription":"1184918, 20 p.","ipdsId":"IP-156796","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":440474,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1184918","text":"Publisher Index Page"},{"id":427206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.10350441520194,\n              38.601995099035804\n            ],\n            [\n              -121.01561379020211,\n              38.18869466210313\n            ],\n            [\n              -120.66405129020202,\n              37.494623707506136\n            ],\n            [\n              -119.34569191520205,\n              36.26435974951541\n            ],\n            [\n              -118.81834816520208,\n              35.480956065849995\n            ],\n            [\n              -117.939441915202,\n              35.19416653711603\n            ],\n            [\n              -117.0605356652022,\n              35.90922757148013\n            ],\n            [\n              -118.11522316520217,\n              37.56432448608861\n            ],\n            [\n              -119.74119972770205,\n              38.944604717236984\n            ],\n            [\n              -120.79588722770202,\n              39.353560861492866\n            ],\n            [\n              -121.10350441520194,\n              38.601995099035804\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":897462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Tom","contributorId":335094,"corporation":false,"usgs":false,"family":"Stephenson","given":"Tom","email":"","affiliations":[{"id":80306,"text":"California Department of Fish and Wildlife; former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":897463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Letchinger, James","contributorId":335095,"corporation":false,"usgs":false,"family":"Letchinger","given":"James","email":"","affiliations":[{"id":63998,"text":"Former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":897464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephenson, Logan","contributorId":335096,"corporation":false,"usgs":false,"family":"Stephenson","given":"Logan","email":"","affiliations":[{"id":80306,"text":"California Department of Fish and Wildlife; former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":897465,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobs, Sarah","contributorId":335097,"corporation":false,"usgs":false,"family":"Jacobs","given":"Sarah","email":"","affiliations":[{"id":63998,"text":"Former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":897466,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251746,"text":"70251746 - 2024 - Prioritizing river basins for nutrient studies","interactions":[],"lastModifiedDate":"2024-02-27T12:46:29.234636","indexId":"70251746","displayToPublicDate":"2024-02-09T06:43:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing river basins for nutrient studies","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Increases in fluxes of nitrogen (N) and phosphorus (P) in the environment have led to negative impacts affecting drinking water, eutrophication, harmful algal blooms, climate change, and biodiversity&nbsp;loss. Because of the importance, scale, and complexity of these issues, it may be useful to consider methods for prioritizing nutrient&nbsp;research in representative drainage basins within a regional or national context. Two systematic, quantitative approaches were developed to (1) identify basins that geospatial data suggest are&nbsp;most impacted by nutrients and (2) identify basins that have the most variability in factors affecting nutrient sources and transport in order to prioritize basins for studies that seek to understand the key drivers of nutrient impacts. The “impact” approach relied on geospatial variables representing surface-water and groundwater nutrient concentrations, sources of N and P, and potential impacts on receptors (i.e., ecosystems and human health). The “variability” approach relied on geospatial variables representing surface-water nutrient concentrations, factors affecting sources and transport of nutrients, model accuracy, and potential receptor impacts. One hundred and sixty-three drainage basins throughout the contiguous United States were ranked nationally and within 18 hydrologic regions. Nationally, the top-ranked basins from the impact approach were concentrated in the Midwest, while those from the variability approach were dispersed across the nation. Regionally, the top-ranked basin selected by the two approaches differed in 15 of the 18 regions, with top-ranked basins selected by the variability approach having lower minimum concentrations and larger ranges in concentrations than top-ranked basins selected by the impact approach. The highest ranked basins identified using the variability approach may&nbsp;have advantages for exploring how landscape factors affect surface-water quality and how surface-water quality may affect ecosystems. In contrast, the impact approach prioritized basins in terms of human development and nutrient concentrations in both surface&nbsp;water and groundwater, thereby targeting areas where actions to reduce nutrient concentrations could have the largest effect on improving water availability and reducing ecosystem impacts.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10661-023-12266-7","usgsCitation":"Tesoriero, A.J., Robertson, D., Green, C., Bohlke, J., Harvey, J., and Qi, S.L., 2024, Prioritizing river basins for nutrient studies: Environmental Monitoring and Assessment, v. 196, 248, 21 p., https://doi.org/10.1007/s10661-023-12266-7.","productDescription":"248, 21 p.","ipdsId":"IP-150952","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":440479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-023-12266-7","text":"Publisher Index Page"},{"id":426028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n          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               44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"196","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Tesoriero, Anthony J. 0000-0003-4674-7364 tesorier@usgs.gov","orcid":"https://orcid.org/0000-0003-4674-7364","contributorId":2693,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony","email":"tesorier@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":895439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":895440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":895441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":895442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":895443,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":895444,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251443,"text":"70251443 - 2024 - Rayleigh step-selection functions and connections to continuous-time mechanistic movement models","interactions":[],"lastModifiedDate":"2024-02-10T14:10:15.47688","indexId":"70251443","displayToPublicDate":"2024-02-08T08:08:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Rayleigh step-selection functions and connections to continuous-time mechanistic movement models","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>The process known as ecological diffusion emerges from a first principles view of animal movement, but ecological diffusion and other partial differential equation models can be difficult to fit to data. Step-selection functions (SSFs), on the other hand, have emerged as powerful practical tools for ecologists studying the movement and habitat selection of animals.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>SSFs typically involve comparing resources between a set of used and available points at each step in a sequence of observed positions. We use change of variables to show that ecological diffusion implies certain distributions for available steps that are more flexible than others commonly used. We then demonstrate advantages of these distributions with SSF models fit to data collected for a mountain lion in Colorado, USA.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>We show that connections between ecological diffusion and SSFs imply a Rayleigh step-length distribution and uniform turning angle distribution, which can accommodate data collected at irregular time intervals. The results of fitting an SSF model with these distributions compared to a set of commonly used distributions revealed how precision and inference can vary between the two approaches.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Our new continuous-time step-length distribution can be integrated into various forms of SSFs, making them applicable to data sets with irregular time intervals between successive animal locations.</p>","language":"English","publisher":"Springer","doi":"10.1186/s40462-023-00442-w","usgsCitation":"Eisaguirre, J.M., Williams, P.J., and Hooten, M.B., 2024, Rayleigh step-selection functions and connections to continuous-time mechanistic movement models: Movement Ecology, v. 12, 14, 8 p., https://doi.org/10.1186/s40462-023-00442-w.","productDescription":"14, 8 p.","ipdsId":"IP-150225","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440485,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-023-00442-w","text":"Publisher Index Page"},{"id":425569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":894590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":894591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin B. 0000-0002-1614-723X","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":292295,"corporation":false,"usgs":false,"family":"Hooten","given":"Mevin","email":"","middleInitial":"B.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":894592,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70253082,"text":"70253082 - 2024 - The spatially adaptable filter for error reduction (SAFER) process: Remote sensing-based LANDFIRE disturbance mapping updates","interactions":[],"lastModifiedDate":"2024-04-18T12:20:00.446915","indexId":"70253082","displayToPublicDate":"2024-02-08T07:18:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5678,"text":"Fire","active":true,"publicationSubtype":{"id":10}},"title":"The spatially adaptable filter for error reduction (SAFER) process: Remote sensing-based LANDFIRE disturbance mapping updates","docAbstract":"<div class=\"html-p\">LANDFIRE (LF) has been producing periodic spatially explicit vegetation change maps (i.e., LF disturbance products) across the entire United States since 1999 at a 30 m spatial resolution. These disturbance products include data products produced by various fire programs, field-mapped vegetation and fuel treatment activity (i.e., events) submissions from various agencies, and disturbances detected by the U.S. Geological Survey Earth Resources Observation and Science (EROS)-based Remote Sensing of Landscape Change (RSLC) process. The RSLC process applies a bi-temporal change detection algorithm to Landsat satellite-based seasonal composites to generate the interim disturbances that are subsequently reviewed by analysts to reduce omission and commission errors before ingestion them into LF’s disturbance products. The latency of the disturbance product is contingent on timely data availability and analyst review. This work describes the development and integration of the Spatially Adaptable Filter for Error Reduction (SAFER) process and other error and latency reduction improvements to the RSLC process. SAFER is a random forest-based supervised classifier and uses predictor variables that are derived from multiple years of pre- and post-disturbance Landsat band observations. Predictor variables include reflectance, indices, and spatial contextual information. Spatial contextual information that is unique to each contiguous disturbance region is parameterized as Z scores using differential observations of the disturbed regions with its undisturbed neighbors. The SAFER process was prototyped for inclusion in the RSLC process over five regions within the conterminous United States (CONUS) and regional model performance, evaluated using 2016 data. Results show that the inclusion of the SAFER process increased the accuracies of the interim disturbance detections and thus has potential to reduce the time needed for analyst review. LF does not track the time taken by each analyst for each tile, and hence, the relative effort saved was parameterized as the percentage of 30 m pixels that are correctly classified in the SAFER outputs to the total number of pixels that are incorrectly classified in the interim disturbance and are presented. The SAFER prototype outputs showed that the relative analysts’ effort saved could be over 95%. The regional model performance evaluation showed that SAFER’s performance depended on the nature of disturbances and availability of cloud-free images relative to the time of disturbances. The accuracy estimates for CONUS were inferred by comparing the 2017 SAFER outputs to the 2017 analyst-reviewed data. As expected, the SAFER outputs had higher accuracies compared to the interim disturbances, and CONUS-wide relative effort saved was over 92%. The regional variation in the accuracies and effort saved are discussed in relation to the vegetation and disturbance type in each region. SAFER is now operationally integrated into the RSLC process, and LANDFIRE is well poised for annual updates, contingent on the availability of data.</div>","language":"English","publisher":"MDPI","doi":"10.3390/fire7020051","usgsCitation":"Kumar, S., Tolk, B., Dittmeier, R., Picotte, J., La Puma, I.P., Peterson, B., and Hatten, T.D., 2024, The spatially adaptable filter for error reduction (SAFER) process: Remote sensing-based LANDFIRE disturbance mapping updates: Fire, v. 7, no. 2, 51, 21 p., https://doi.org/10.3390/fire7020051.","productDescription":"51, 21 p.","ipdsId":"IP-150592","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":440491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fire7020051","text":"Publisher Index Page"},{"id":427903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kumar, Sanath Sathyachandran 0000-0003-4067-4926","orcid":"https://orcid.org/0000-0003-4067-4926","contributorId":335666,"corporation":false,"usgs":false,"family":"Kumar","given":"Sanath Sathyachandran","affiliations":[{"id":80464,"text":"ASRC Federal Data Solutions contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":899099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tolk, Brian 0000-0002-9060-0266","orcid":"https://orcid.org/0000-0002-9060-0266","contributorId":335667,"corporation":false,"usgs":false,"family":"Tolk","given":"Brian","affiliations":[{"id":79181,"text":"KBR Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":899100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dittmeier, Ray","contributorId":299963,"corporation":false,"usgs":false,"family":"Dittmeier","given":"Ray","email":"","affiliations":[{"id":61731,"text":"KBR","active":true,"usgs":false}],"preferred":false,"id":899101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Picotte, Joshua J. 0000-0002-4021-4623","orcid":"https://orcid.org/0000-0002-4021-4623","contributorId":202800,"corporation":false,"usgs":true,"family":"Picotte","given":"Joshua J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":899102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Puma, Inga P. 0000-0002-6865-820X","orcid":"https://orcid.org/0000-0002-6865-820X","contributorId":206011,"corporation":false,"usgs":false,"family":"La Puma","given":"Inga","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":899103,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Birgit 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":192353,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":899104,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hatten, Timothy Duckett 0000-0003-3413-4325","orcid":"https://orcid.org/0000-0003-3413-4325","contributorId":330642,"corporation":false,"usgs":true,"family":"Hatten","given":"Timothy","email":"","middleInitial":"Duckett","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":899105,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251414,"text":"70251414 - 2024 - Assessing the probability of grass carp (Ctenopharyngodon idella) spawning in the Sandusky River using discharge and water temperature","interactions":[],"lastModifiedDate":"2024-03-26T14:46:55.473687","indexId":"70251414","displayToPublicDate":"2024-02-08T06:44:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Assessing the probability of grass carp (<i>Ctenopharyngodon idella</i>) spawning in the Sandusky River using discharge and water temperature","title":"Assessing the probability of grass carp (Ctenopharyngodon idella) spawning in the Sandusky River using discharge and water temperature","docAbstract":"<p><span>Grass carp (</span><i>Ctenopharyngodon idella</i><span>, Val.) is an invasive species in the Laurentian Great Lakes region with the potential for damaging the lake ecosystem and harming the region's economy.</span><span>&nbsp;</span><span>Grass carp spawning was documented in the Sandusky River, Ohio, in 2015 through targeted egg sampling. Continued egg sampling in the Sandusky River suggested that grass carp spawning is related to discharge and water temperature.</span><span>&nbsp;</span><span>We used egg sampling data from 2014 to 2021 to develop a Bayesian model to understand the likely conditions related to grass carp spawning in the Lake Erie watershed.</span><span>&nbsp;</span><span>The resulting model estimates the likelihood of spawning as a function of discharge and water temperature. The results suggest that spawning is most likely to occur when discharge is above 10&nbsp;m</span><sup>3</sup><span>/s and water temperature is below 25&nbsp;℃. The model provides a tool for setting research and management priorities to develop management strategies to reduce the grass carp population in Lake Erie. Furthermore, the Bayesian nature of the model makes the model updatable when new data are available, whether from the same river or from another river, to incorporate river-specific features to identify likely spawning rivers.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102303","usgsCitation":"Jaffe, S., Qian, S.S., Mayer, C.M., Kocovsky, P.M., and Gouveia, A., 2024, Assessing the probability of grass carp (Ctenopharyngodon idella) spawning in the Sandusky River using discharge and water temperature: Journal of Great Lakes Research, v. 50, no. 2, 102303, 9 p., https://doi.org/10.1016/j.jglr.2024.102303.","productDescription":"102303, 9 p.","ipdsId":"IP-145474","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":487001,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102303","text":"Publisher Index Page"},{"id":425532,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Sandusky River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83,\n              41.5\n            ],\n            [\n              -83.25,\n              41.5\n            ],\n            [\n              -83.25,\n              41.25\n            ],\n            [\n              -83,\n              41.25\n            ],\n            [\n              -83,\n              41.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jaffe, Sabrina","contributorId":333990,"corporation":false,"usgs":false,"family":"Jaffe","given":"Sabrina","email":"","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":894481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":894482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayer, Christine M.","contributorId":203271,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":894483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":894484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gouveia, Anarita","contributorId":333992,"corporation":false,"usgs":false,"family":"Gouveia","given":"Anarita","email":"","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":894485,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}