{"pageNumber":"559","pageRowStart":"13950","pageSize":"25","recordCount":165309,"records":[{"id":70215221,"text":"70215221 - 2020 - An ecological and conservation perspective","interactions":[],"lastModifiedDate":"2021-01-25T16:00:41.809018","indexId":"70215221","displayToPublicDate":"2020-09-30T09:54:57","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"An ecological and conservation perspective","docAbstract":"Natural ecosystems are facing unprecedented threats which directly threaten human well-being through decreases in critical ecosystem services (IPBES 2019). The top five drivers causing the largest global impacts to biodiversity and ecosystem services include: 1) changes in land and sea use; 2) direct exploitation of organisms; 3) climate change; 4) pollution, and 5) invasive alien species (IPBES 2019). Although One Health acknowledges the link between the health of humans, animals, and the environment, One Health discussions have historically focused on the prevention and control of infectious disease at the human-animal interface rather than these large-scale drivers of health. While One Health has succeeded in bringing awareness to the need for proactive disease control measures such as strengthened biosecurity and vaccine development (e.g., Machalaba et al., 2018; Middleton et al., 2014), disease is only one component of health. In this chapter, we explore the potential for One Health to shift its focus from disease prevention to health promotion to more fully integrate solutions that protect the health of humans, animals, and the ecosystems on which we all depend for our economies, livelihoods, food security, and health. This shift will facilitate a more seamless inclusion of ecological health and environmental conservation in the One Health paradigm and can serve as the basis for a comprehensive approach to complex problems at the root of global health. We also suggest a framework for creating and applying health metrics for wildlife and ecological systems that will be essential for measuring the success of actions aimed at maintaining or shifting systems to desired states.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"One health: The theory and practice of integrated health approaches","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CABI","usgsCitation":"White, C.L., Lankton, J.S., Walsh, D.P., Sleeman, J.M., and Stephen, C., 2020, An ecological and conservation perspective, chap. 3 <i>of</i> One health: The theory and practice of integrated health approaches, p. 25-38.","productDescription":"14 p.","startPage":"25","endPage":"38","ipdsId":"IP-114861","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":382551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"2nd Edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":801223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":801224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":801225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":801226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephen, Craig","contributorId":168939,"corporation":false,"usgs":false,"family":"Stephen","given":"Craig","email":"","affiliations":[],"preferred":false,"id":801227,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217168,"text":"70217168 - 2020 - Impacts of grade control structure installations on hydrology and sediment transport as an adaptive management strategy","interactions":[],"lastModifiedDate":"2021-01-08T15:59:46.702087","indexId":"70217168","displayToPublicDate":"2020-09-30T09:44:59","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"ST-2017-1751-01","title":"Impacts of grade control structure installations on hydrology and sediment transport as an adaptive management strategy","docAbstract":"<p>The goal of this research was to examine the impacts of Grade Control Structure (GCS) installations at the Heard Scout Pueblo (HSP) study site in the City of Phoenix, Arizona, USA. The study site is around a high-use trail system and is comprised of eroded and incised channels that conduct high flows and associated sediments into a residential neighborhood downstream, a noted stormwater control problem. We established baseline conditions associated with rainfall/runoff response before structures were installed so we could have some data for comparison afterwards.</p><p> Innovative monitoring equipment, including video cameras and pressure transducers (to calculate discharge); digital terrain models, sediment samplers and sediment chains (to measure erosion and deposition); soil moisture sensors in monitoring wells (to document infiltration and potential recharge); and weather stations (to track temperature and relative humidity) were established and a small Unmanned Aircraft System (sUAS) survey was completed by July, 11, 2017, in time for the typical summer monsoon season which officially runs from June 15th to September 30th. Only one pre-GCS installation rain event incurred a significant flow event (October 13, 2018). </p><p>Natural Channel Design (NCD), a landscape restoration company with decades of experience, was hired through a competitive bid process to develop a novel layout of ~30 GCS installations (sills, modified one-rock dams (ORD), and plugs, as well as a modified Zuni-bowl). The American Conservation Experience (ACE) hand-built the structures based on these designs in the main channel from November 13, 2018 through December 1, 2018. ACE built another ten structures in locations adjacent to the channel from January 15 through January 18, 2019. NCD worked with the landscape forensics to identify a historic channel and reinstate it using GCS. </p><p>A surface-water model was also applied, using some of the baseline measurements (terrain and hydraulic conductivity) to track the flows of water and potential infiltration associated with rainfall events before GCS installation, to assist NCD in their design. The same model was applied using the installed GCS locations to simulate impacts of the structures on flow and infiltration. Our model was able to predict the slight reduction and delay in peak flows for small events and simulate infiltration, which was measured and occurred in the channel. Results demonstrated that structures could increase infiltration by ~15% over time. More data describing geomorphology and hydrology after repeated rainfall events will allow for increased analyses. </p><p>Innovative monitoring, including the large‐scale particle image velocimetry (LSPIV) were invaluable to this research. Given the arid-land location and added drought conditions, the water levels were not high enough to compute, even using the continuous slope-area method, so discharge was calculated solely using the LSPIV. The careful redundancy of data acquisition is extremely important when studying dryland hydrology. </p><p>Weather data indicated that the HSP GCS installations created roughly a three-degree microclimate cooling effect for at least two days following rainfall events, as compared with the untreated channel. The cooling was attributed to increased moisture, evaporation, and latent heat expulsion from the evaporation.</p>","language":"English","publisher":"Bureau of Reclamation","usgsCitation":"Tosline, D., Norman, L., Greimann, B.P., Cederberg, J., Huang, V., and Ruddell, B., 2020, Impacts of grade control structure installations on hydrology and sediment transport as an adaptive management strategy: Final Report ST-2017-1751-01, iv, 65 p.","productDescription":"iv, 65 p.","ipdsId":"IP-121918","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":382021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":382013,"type":{"id":15,"text":"Index Page"},"url":"https://data.usbr.gov/catalog/4414/item/6298"}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.09899902343749,\n              33.293803558346596\n            ],\n            [\n              -111.9784927368164,\n              33.293803558346596\n            ],\n            [\n              -111.9784927368164,\n              33.38529959859565\n            ],\n            [\n              -112.09899902343749,\n              33.38529959859565\n            ],\n            [\n              -112.09899902343749,\n              33.293803558346596\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tosline, Deborah","contributorId":247510,"corporation":false,"usgs":false,"family":"Tosline","given":"Deborah","affiliations":[{"id":49564,"text":"Reclamation, Hydrologist / Program Manager","active":true,"usgs":false}],"preferred":false,"id":807809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":807810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greimann, Blair P.","contributorId":247511,"corporation":false,"usgs":false,"family":"Greimann","given":"Blair","email":"","middleInitial":"P.","affiliations":[{"id":49565,"text":"Reclamation, Hydraulic Engineer","active":true,"usgs":false}],"preferred":false,"id":807811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cederberg, Jay 0000-0001-6649-7353","orcid":"https://orcid.org/0000-0001-6649-7353","contributorId":219724,"corporation":false,"usgs":true,"family":"Cederberg","given":"Jay","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huang, Victor","contributorId":247512,"corporation":false,"usgs":false,"family":"Huang","given":"Victor","email":"","affiliations":[{"id":49565,"text":"Reclamation, Hydraulic Engineer","active":true,"usgs":false}],"preferred":false,"id":807813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruddell, Benjamin L.","contributorId":247513,"corporation":false,"usgs":false,"family":"Ruddell","given":"Benjamin L.","affiliations":[{"id":49567,"text":"Northern Arizona University, Professor","active":true,"usgs":false}],"preferred":false,"id":807814,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227669,"text":"70227669 - 2020 - Assessing the efficacy of protected and multiple-use lands for bird conservation in the U.S.","interactions":[],"lastModifiedDate":"2022-01-26T15:41:46.426505","indexId":"70227669","displayToPublicDate":"2020-09-30T09:36:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the efficacy of protected and multiple-use lands for bird conservation in the U.S.","docAbstract":"<p><span>Setting land aside has long been a primary approach for protecting biodiversity; however, the efficacy of this approach has been questioned. We examined whether protecting lands positively influences bird species in the U.S., and thus overall biodiversity. We used the North American Breeding Bird Survey and Protected Areas Database of the U.S. to assess effects of protected and multiple-use lands on the prevalence and long-term population trends of imperiled and non-imperiled bird species. We evaluated whether both presence and proportional area of protected and multiple-use lands surrounding survey routes affected prevalence and population trends for imperiled and non-imperiled species. Regarding presence of these lands surrounding these survey routes, our results suggest that imperiled and non-imperiled species are using the combination of protected and multiple-use lands more than undesignated lands. We found no difference between protected and multiple-use lands. Mean population trends were negative for imperiled species in all land categories and did not differ between the land categories. Regarding proportion of protected lands surrounding the survey routes, we found that neither the prevalence nor population trends of imperiled or non-imperiled species was positively associated with any land category. We conclude that, although many species (in both groups) tend to be using these protected and multiple-use lands more frequently than undesignated lands, this protection does not appear to improve population trends. Our results may be influenced by external pressures (e.g., habitat fragmentation), the size of protected lands, the high mobility of birds that allows them to use a combination of all land categories, and management strategies that result in similar habitat between protected and multiple-use lands, or our approach to detect limited relationships. Overall, our results suggest that the combination of protected and multiple-use lands is insufficient, alone, to prevent declines in avian biodiversity at a national scale.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0239184","usgsCitation":"Dornak, L.L., Aycrigg, J., Sauer, J.R., and Conway, C.J., 2020, Assessing the efficacy of protected and multiple-use lands for bird conservation in the U.S.: PLoS ONE, v. 15, no. 9, e0239184, 24 p., https://doi.org/10.1371/journal.pone.0239184.","productDescription":"e0239184, 24 p.","ipdsId":"IP-056234","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":455184,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0239184","text":"Publisher Index 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Lynnette","contributorId":272176,"corporation":false,"usgs":false,"family":"Dornak","given":"L.","email":"","middleInitial":"Lynnette","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":831670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aycrigg, Jocelyn L.","contributorId":272177,"corporation":false,"usgs":false,"family":"Aycrigg","given":"Jocelyn L.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":831671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sauer, John R. 0000-0002-4557-3019 jrsauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":146917,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":831672,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831669,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215583,"text":"70215583 - 2020 - Comparative genomics and genomic epidemiology of mycobacterium avium subsp. paratuberculosis strains","interactions":[],"lastModifiedDate":"2020-10-23T14:26:28.658783","indexId":"70215583","displayToPublicDate":"2020-09-30T09:25:35","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Comparative genomics and genomic epidemiology of mycobacterium avium subsp. paratuberculosis strains","docAbstract":"Two phenotypically distinct strains of Mycobacterium avium subsp. paratuberculosis (MAP) were recognized in the 1930s but it was not until the introduction of restriction endonuclease analysis (REA) in the mid-1980s that these two strains, MAP-C and MAP-S, could be distinguished genetically. Since then, a plethora of molecular typing techniques has been applied to MAP isolates (reviewed by Li et al. 2016; Fawzy et al., 2018) and a complex nomenclature for MAP strains has evolved. Currently, the most widely used genotyping method is Mycobacterial Interspersed Repetitive Units – Variable-Number Tandem Repeats (MIRU-VNTR). However, it has limited discriminatory power within the major lineages and does not always accurately reflect genetic relatedness since the repeat sequences are subject to homoplasy (Ahlstrom et al., 2015; Bryant et al., 2016). Whole genome sequencing (WGS) supplies the ultimate resolution and has revolutionized MAP research. It has enabled determination of single nucleotide polymorphism (SNP) level diversity, clarified phylogenetic relationships between divergent lineages and closely related strains and spawned the development of novel genotyping methods based on informative canonical SNPs (Leão et al. 2016; Ahlstrom et al. 2016b). This chapter presents an overview of comparative genomics and epidemiology of MAP strains and also highlights the role that WGS has played in increasing our understanding of MAP strain diversity.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Paratuberculosis: Organism, disease, control","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CAB International","usgsCitation":"Stevenson, K., and Ahlstrom, C., 2020, Comparative genomics and genomic epidemiology of mycobacterium avium subsp. paratuberculosis strains, chap. 6 <i>of</i> Paratuberculosis: Organism, disease, control.","ipdsId":"IP-109779","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":379691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379677,"type":{"id":15,"text":"Index Page"},"url":"https://www.cabi.org/bookshop/book/9781789243413/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stevenson, Karen","contributorId":243646,"corporation":false,"usgs":false,"family":"Stevenson","given":"Karen","email":"","affiliations":[{"id":48767,"text":"Moredun Research Institute, Penicuik, Scotland","active":true,"usgs":false}],"preferred":false,"id":802840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahlstrom, Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":802841,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70222425,"text":"70222425 - 2020 - Mississippi Alluvial Valley Forest-breeding landbird population & quantitative habitat objectives","interactions":[],"lastModifiedDate":"2021-09-10T11:37:31.771137","indexId":"70222425","displayToPublicDate":"2020-09-30T09:04:28","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Mississippi Alluvial Valley Forest-breeding landbird population & quantitative habitat objectives","docAbstract":"<p>The Mississippi Alluvial Valley (MAV) is a 9 million ha (22-million-acre) floodplain that supports a diverse and ecologically rich bottomland hardwood forest ecosystem – one of the most productive in North America. It extends from roughly Cape Girardeau, Missouri, to the Gulf of Mexico and features a mosaic of ridges, swales, meander belts, and backswamps. Small changes in elevation (&lt;1 foot) in the MAV are associated with large shifts in hydrology, which in turn, strongly affect plant and animal community composition and structure. The resultant diversity contributes to a fertile and productive floodplain. General forest types in the MAV include: Oak-gum-cypress (41%), elm-ash-cottonwood (29%), oakhickory (17%), and the remainder is other forest types (Oswalt 2013). Within the oak-gum-cypress and elm-ash-cottonwood categories, sugarberry-hackberry-elm-green ash and sweetgum-Nuttall oak-willow oak forest types account for close to one-half of MAV bottomland forest acreage, while baldcypress-tupelo forests are about 16 percent (Oswalt 2013). Although we emphasize bottomland hardwood habitat and associated bird species, this planning effort includes analyses based upon all forest types within the MAV. Hence, the term ‘forest’ refers to all forest types in the MAV.</p>","language":"English","publisher":"Lower Mississippi Valley Joint Venture","usgsCitation":"Demarest, D.W., Elliott, B., Ford, R., Hanni, D., McKnight, S.K., Mini, A.E., Twedt, D.J., and Wilson, R., 2020, Mississippi Alluvial Valley Forest-breeding landbird population & quantitative habitat objectives, 14 p.","productDescription":"14 p.","ipdsId":"IP-120883","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":389001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":389000,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.lmvjv.org/landbird-plans"}],"country":"United States","state":"Arkansas, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"lower Mississippi Alluvial Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.615478515625,\n              37.38761749978395\n            ],\n            [\n              -92.2412109375,\n              34.813803317113155\n            ],\n            [\n              -92.35107421874999,\n              34.642247047768535\n            ],\n            [\n              -92.48291015625,\n              34.225429015241396\n            ],\n            [\n              -91.571044921875,\n              33.578014746143985\n            ],\n            [\n              -91.790771484375,\n              31.952162238024975\n            ],\n            [\n              -91.95556640625,\n              31.109388560814963\n            ],\n            [\n              -91.966552734375,\n              30.600093873550072\n            ],\n            [\n              -90.72509765625,\n              29.7453016622136\n            ],\n            [\n              -89.725341796875,\n              29.439597566602902\n            ],\n            [\n              -89.45068359374999,\n              29.81205076752506\n            ],\n            [\n              -90.4833984375,\n              30.192618218499273\n            ],\n            [\n              -91.219482421875,\n              31.12819929911196\n            ],\n            [\n              -90.626220703125,\n              32.37996146435729\n            ],\n            [\n              -90.50537109375,\n              33.8521697014074\n            ],\n            [\n              -89.84619140625,\n              35.146862906756304\n            ],\n            [\n              -89.05517578125,\n              36.48314061639213\n            ],\n            [\n              -88.9892578125,\n              37.204081555898526\n            ],\n            [\n              -89.615478515625,\n              37.38761749978395\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Demarest, Dean W.","contributorId":175184,"corporation":false,"usgs":false,"family":"Demarest","given":"Dean","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":820004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Blaine","contributorId":261424,"corporation":false,"usgs":false,"family":"Elliott","given":"Blaine","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":820005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, Robert","contributorId":214858,"corporation":false,"usgs":false,"family":"Ford","given":"Robert","email":"","affiliations":[{"id":37063,"text":"U.S. Environmental Protection Agency, Cincinnati, OH","active":true,"usgs":false}],"preferred":false,"id":820006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanni, David","contributorId":261426,"corporation":false,"usgs":false,"family":"Hanni","given":"David","email":"","affiliations":[{"id":13408,"text":"Tennessee Wildlife Resources Agency","active":true,"usgs":false}],"preferred":false,"id":820007,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McKnight, S. Keith","contributorId":221729,"corporation":false,"usgs":false,"family":"McKnight","given":"S.","email":"","middleInitial":"Keith","affiliations":[{"id":40410,"text":"Lower Mississippi Valley Joint Venture","active":true,"usgs":false}],"preferred":false,"id":820008,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mini, Anne E.","contributorId":261428,"corporation":false,"usgs":false,"family":"Mini","given":"Anne","email":"","middleInitial":"E.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":820009,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":820010,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilson, R. Randy","contributorId":259210,"corporation":false,"usgs":false,"family":"Wilson","given":"R. Randy","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":820011,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70228928,"text":"70228928 - 2020 - Using video survey to examine the effect of habitat on gag grouper encounter","interactions":[],"lastModifiedDate":"2022-03-08T14:43:20.629834","indexId":"70228928","displayToPublicDate":"2020-09-30T08:32:37","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using video survey to examine the effect of habitat on gag grouper encounter","docAbstract":"<p><span>Gag is a reef fish that was declared overfished in the Gulf of Mexico (GOM) in 2009. Although Gag are no longer listed as overfished, fisheries managers are concerned that stocks may not be recovering. Our objective was to identify habitat characteristics important to Gag, and their effect on the probability of Gag occurrence. We obtained data from three separate fisheries-independent video surveys that sampled in the eastern GOM from 2010-2017: the National Atmospheric and Oceanic Administration (NOAA) Panama City, FL Office, the NOAA Southeast Area Monitoring and Assessment Program, and the Florida Fish and Wildlife Research Institute. We ran a separate mixed effects logistic regression for each survey, and used Akaike’s Information Criteria to determine the best fitting models. Some variables - percent rock coverage, vertical relief, latitude, and depth - were present in all confidence models. Depth did not have the same relationship with Gag across all surveys, suggesting that shallower habitats (&lt;50 m) might be more suitable for juveniles, whereas deeper habitats (&gt;50 m) might be more suitable for adults. Managers may be able to help Gag and encourage their recovery by using these data to establish or expand protected areas throughout shallower waters.</span></p>","conferenceTitle":"Annual Meeting of the American Fisheries Society. Virtual","conferenceDate":"Aug 28 - Sep 3, 2020","language":"English","usgsCitation":"Alvarez, G., Gandy, D., Irwin, B., Jennings, C.A., and Fox, A., 2020, Using video survey to examine the effect of habitat on gag grouper encounter, Annual Meeting of the American Fisheries Society. Virtual, Aug 28 - Sep 3, 2020, 3 p.","productDescription":"3 p.","ipdsId":"IP-119340","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.26416015625,\n              24.8\n            ],\n            [\n              -81.2548828125,\n              24.8\n            ],\n            [\n              -81.2548828125,\n              30.637912028341123\n            ],\n            [\n              -88.26416015625,\n              30.637912028341123\n            ],\n            [\n              -88.26416015625,\n              24.8\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Alvarez, G.","contributorId":280041,"corporation":false,"usgs":false,"family":"Alvarez","given":"G.","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":835931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gandy, D.","contributorId":280042,"corporation":false,"usgs":false,"family":"Gandy","given":"D.","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":835932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":280043,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":835933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":835934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, Adam","contributorId":288127,"corporation":false,"usgs":false,"family":"Fox","given":"Adam","affiliations":[],"preferred":false,"id":835935,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70223111,"text":"70223111 - 2020 - Shallow basin structure and attenuation are key to predicting long shaking duration in Los Angeles Basin","interactions":[],"lastModifiedDate":"2021-08-11T13:04:12.661022","indexId":"70223111","displayToPublicDate":"2020-09-30T08:01:31","publicationYear":"2020","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":"Shallow basin structure and attenuation are key to predicting long shaking duration in Los Angeles Basin","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Ground motions in the Los Angeles Basin during large earthquakes are modulated by earthquake ruptures, path effects into the basin, basin effects, and local site response. We analyzed the direct effect of shallow basin structures on shaking duration at a period of 2–10&nbsp;s in the Los Angeles region through modeling small magnitude, shallow, and deep earthquake pairs. The source depth modulates the basin response, particularly the shaking duration, and these features are a function of path effect and not site condition. Three-dimensional simulations using the CVM-S4.26.M01 velocity model show good fitting to the initial portion of the waveforms at periods of 5&nbsp;s and longer but fail to predict the long shaking duration during shallow events, especially at periods less than 5&nbsp;s. Simulations using CVM-H do not match the timing of the initial arrivals as well as CVM-S4.26.M01, and the strong late arrivals in the CVM-H simulation travel with an apparent velocity slower than observed. A higher-quality factor than traditionally assumed may produce synthetics with longer durations but is unable to accurately match the amplitude and phase. Beamforming analysis using dense array data further reveals the long duration surface waves have the same back azimuth as the direct arrivals and are generated at the basin edges, while the later coda waves are scattered from off-azimuth directions, potentially due to strong, sharp boundaries offshore. Improving the description of these shallow basin structures and attenuation model will enhance our capability to predict long-period ground motions in basins.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB019663","usgsCitation":"Lai, V.H., Graves, R., Yu, C., Zhan, Z., and Helmberger, D., 2020, Shallow basin structure and attenuation are key to predicting long shaking duration in Los Angeles Basin: Journal of Geophysical Research: Solid Earth, v. 125, no. 10, e2020JB019663, 15 p., https://doi.org/10.1029/2020JB019663.","productDescription":"e2020JB019663, 15 p.","ipdsId":"IP-115944","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":455187,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20200930-144714950","text":"External Repository"},{"id":387846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Los Angeles Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.190673828125,\n              33.44977658311843\n            ],\n            [\n              -116.75170898437499,\n              33.44977658311843\n            ],\n            [\n              -116.75170898437499,\n              34.45221847282654\n            ],\n            [\n              -119.190673828125,\n              34.45221847282654\n            ],\n            [\n              -119.190673828125,\n              33.44977658311843\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Lai, Voon H","contributorId":264160,"corporation":false,"usgs":false,"family":"Lai","given":"Voon","email":"","middleInitial":"H","affiliations":[{"id":54396,"text":"Seismological Laboratory, Caltech","active":true,"usgs":false}],"preferred":false,"id":821004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":821005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yu, Chunquan","contributorId":198158,"corporation":false,"usgs":false,"family":"Yu","given":"Chunquan","email":"","affiliations":[],"preferred":false,"id":821006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhan, Zhongwen","contributorId":195085,"corporation":false,"usgs":false,"family":"Zhan","given":"Zhongwen","email":"","affiliations":[],"preferred":false,"id":821007,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Helmberger, Don","contributorId":192954,"corporation":false,"usgs":false,"family":"Helmberger","given":"Don","email":"","affiliations":[],"preferred":false,"id":821008,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224335,"text":"70224335 - 2020 - Assessing plot-scale impacts of land use on overland flow generation in Central Panama","interactions":[],"lastModifiedDate":"2021-09-23T12:24:52.951151","indexId":"70224335","displayToPublicDate":"2020-09-30T07:22:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Assessing plot-scale impacts of land use on overland flow generation in Central Panama","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Land use in Panama has changed dramatically with ongoing deforestation and conversion to cropland and cattle pastures, potentially altering the soil properties that drive the hydrological processes of infiltration and overland flow. We compared plot-scale overland flow generation between hillslopes in forested and actively cattle-grazed watersheds in Central Panama. Soil physical and hydraulic properties, soil moisture and overland flow data were measured along hillslopes of each land-use type. Soil characteristics and rainfall data were input into a simple, 1-D representative model, HYDRUS-1D, to simulate overland flow that we used to make inferences about overland flow response at forest and pasture sites. Runoff ratios (overland flow/rainfall) were generally higher at the pasture site, although no overall trends were observed between rainfall characteristics and runoff ratios across the two land uses at the plot scale. Saturated hydraulic conductivity (<i>K</i><sub>s</sub>) and bulk density were different between the forest and pasture sites (<i>p</i> &lt; 10<sup>−4</sup>). Simulating overland flow in HYDRUS-1D produced more outputs similar to the overland flow recorded at the pasture site than the forest site. Results from our study indicate that, at the plot scale, Hortonian overland flow is the main driver for overland flow generation at the pasture site during storms with high-rainfall totals. We infer that the combination of a leaf litter layer and the activation of shallow preferential flow paths resulting in shallow saturation-excess overland flow are likely the main drivers for plot scale overland flow generation at the forest site. Results from this study contribute to the broader understanding of the delivery of freshwater to streams, which will become increasingly important in the tropics considering freshwater resource scarcity and changing storm intensities.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13924","usgsCitation":"Bush, S.A., Stallard, R., Ebel, B., and Barnard, H.R., 2020, Assessing plot-scale impacts of land use on overland flow generation in Central Panama: Hydrological Processes, v. 34, no. 25, p. 5043-5069, https://doi.org/10.1002/hyp.13924.","productDescription":"27 p.","startPage":"5043","endPage":"5069","ipdsId":"IP-113131","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":455190,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13924","text":"Publisher Index Page"},{"id":389640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.88157,7.22377],[-78.21494,7.51225],[-78.42916,8.05204],[-78.1821,8.31918],[-78.43547,8.38771],[-78.62212,8.71812],[-79.12031,8.99609],[-79.55788,8.93237],[-79.76058,8.58452],[-80.16448,8.33332],[-80.38266,8.29841],[-80.48069,8.09031],[-80.00369,7.54752],[-80.27667,7.41975],[-80.42116,7.27157],[-80.8864,7.22054],[-81.05954,7.81792],[-81.18972,7.64791],[-81.51951,7.70661],[-81.72131,8.10896],[-82.13144,8.17539],[-82.39093,8.29236],[-82.82008,8.29086],[-82.85096,8.07382],[-82.96578,8.22503],[-82.91318,8.42352],[-82.82977,8.6263],[-82.86866,8.80727],[-82.71918,8.92571],[-82.92715,9.07433],[-82.93289,9.47681],[-82.5462,9.56613],[-82.18712,9.20745],[-82.20759,8.99558],[-81.80857,8.95062],[-81.71415,9.03196],[-81.43929,8.78623],[-80.9473,8.8585],[-80.5219,9.11107],[-79.9146,9.31277],[-79.5733,9.61161],[-79.02119,9.55293],[-79.05845,9.45457],[-78.50089,9.42046],[-78.05593,9.24773],[-77.72951,8.94684],[-77.35336,8.6705],[-77.47472,8.52429],[-77.24257,7.93528],[-77.43111,7.63806],[-77.75341,7.70984],[-77.88157,7.22377]]]},\"properties\":{\"name\":\"Panama\"}}]}","volume":"34","issue":"25","noUsgsAuthors":false,"publicationDate":"2020-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Bush, Sidney A. 0000-0002-8359-7927","orcid":"https://orcid.org/0000-0002-8359-7927","contributorId":265930,"corporation":false,"usgs":false,"family":"Bush","given":"Sidney","email":"","middleInitial":"A.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":823794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert 0000-0001-8209-7608","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":215272,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":823795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":823796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Holly R.","contributorId":257523,"corporation":false,"usgs":false,"family":"Barnard","given":"Holly","email":"","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":823797,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215648,"text":"70215648 - 2020 - Simulating wave runup on an intermediate–reflective beach using a wave-resolving and a wave-averaged version of XBeach","interactions":[],"lastModifiedDate":"2020-10-28T11:44:36.508392","indexId":"70215648","displayToPublicDate":"2020-09-30T07:08:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Simulating wave runup on an intermediate–reflective beach using a wave-resolving and a wave-averaged version of XBeach","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">The prediction of wave runup, as well as its components, time-averaged setup and the time-varying swash, is a key element of coastal storm hazard assessments, as wave runup controls the transitions between morphodynamic response types such as dune erosion and overwash, and the potential for flooding by wave overtopping. While theoretically able to simulate the dominant low-frequency swash, previous studies using the infragravity-wave–resolving model XBeach (XBSB) have shown an underestimation of the observed swash variance and wave runup, which was in part related to the absence of incident-band swash motions in the model. Here, we use an incident-band wave-resolving, non-hydrostatic version of the XBeach model (XBNH) to simulate wave runup observed during the SandyDuck '97 experiment on an intermediate–reflective sandy beach. The results show that the XBNH model describes wave runup and the individual setup and swash components well. We subsequently examine differences in wave runup prediction between the XBSB and XBNH models and find that the XBNH model is a better predictor of wave runup than XBSB for this beach, which is due to better predictions of both the incident-band and infragravity-band swash. For a range of beach states from reflective to dissipative it is shown that incident-band swash is underestimated by XBSB relative to XBNH, in particular for reflective conditions. Infragravity-band swash is shown to be lower in XBSB than XBNH for most conditions, including dissipative conditions for which the mean difference is 16% of the deep water wave height. The difference in infragravity-band swash in XBNH relative to XBSB is shown to mainly be the result of processes occurring outside the swash zone, but approximately 15% of the difference is caused by explicitly resolving incident-band wave motions within the swash zone, such as swash-swash interactions, which inherently cannot be simulated by wave-averaged models.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2020.103788","usgsCitation":"de beer, A., McCall, R., Long, J.W., Tissier, M., and Reniers, A., 2020, Simulating wave runup on an intermediate–reflective beach using a wave-resolving and a wave-averaged version of XBeach: Coastal Engineering, v. 167, 103788, 13 p., https://doi.org/10.1016/j.coastaleng.2020.103788.","productDescription":"103788, 13 p.","ipdsId":"IP-115641","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":455192,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.coastaleng.2020.103788","text":"External Repository"},{"id":379792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"de beer, A.F.","contributorId":244018,"corporation":false,"usgs":false,"family":"de beer","given":"A.F.","email":"","affiliations":[{"id":48797,"text":"Deltares, Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":803057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCall, R.T.","contributorId":244019,"corporation":false,"usgs":false,"family":"McCall","given":"R.T.","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":803058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Joseph W. 0000-0003-2912-1992","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":219235,"corporation":false,"usgs":false,"family":"Long","given":"Joseph","email":"","middleInitial":"W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":803059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tissier, M.F.S.","contributorId":244020,"corporation":false,"usgs":false,"family":"Tissier","given":"M.F.S.","email":"","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":803060,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reniers, A.J.H.M.","contributorId":244021,"corporation":false,"usgs":false,"family":"Reniers","given":"A.J.H.M.","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":803061,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70249396,"text":"70249396 - 2020 - Estimating wildfire fuel consumption with multitemporal airborne laser scanning data and demonstrating linkage with MODIS-derived fire radiative energy","interactions":[],"lastModifiedDate":"2023-10-05T12:15:56.760582","indexId":"70249396","displayToPublicDate":"2020-09-30T07:08:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Estimating wildfire fuel consumption with multitemporal airborne laser scanning data and demonstrating linkage with MODIS-derived fire radiative energy","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0060\"><span>Characterizing pre- and post-fire fuels remains a key challenge for estimating biomass consumption and&nbsp;carbon emissions&nbsp;from wildfires.&nbsp;Airborne laser scanning&nbsp;(ALS) data have demonstrated effectiveness for estimating canopy, and to a lesser degree, surface fuel components at fine-scale (i.e., 30&nbsp;m) across landscapes. Using pre- and post-fire ALS data and corresponding field data, this study estimated consumption of canopy fuel (ΔCF),&nbsp;understory&nbsp;fuel (ΔUF), total fuel (ΔTF), and canopy bulk density (ΔCBD) for the 2012 Pole Creek fire in Oregon,&nbsp;USA&nbsp;(10,760&nbsp;ha), and portions of the 2011 Las Conchas fire in New Mexico, USA (4,934&nbsp;ha). Additionally, the feasibility of predicting fuel consumption was tested using separate pre- and post-fire models (PrePost), models combining all pre- and post-fire data (Pooled), and models using all data from both fires (Global). Estimates of ΔTF were then compared to fire radiative energy (FRE, units: MJ) derived from Fire Radiative Power (FRP, units: MW) observations from the&nbsp;Moderate Resolution Imaging Spectroradiometer&nbsp;(MODIS) sensor onboard NASA Terra and&nbsp;Aqua satellites&nbsp;to mechanistically derive a biomass combustion coefficient (BCC, units: kg MJ</span><sup>−1</sup>). The PrePost and Pooled approaches yielded similar results at Las Conchas, but at Pole Creek insufficient pre-fire field data resulted in erroneous fuel consumption estimates outside the fire perimeter using the PrePost models. These results demonstrated that pre-fire field data were less important for these models than having field data which represent the full range of fuel conditions likely to exist across the landscape. Estimated total biomass consumed for the PrePost, Pooled, and Global models were 226 Gg, 224 Gg, and 224 Gg at Las Conchas, and 581 Gg, 713 Gg, and 552 Gg at Pole Creek. Comparisons between estimated ΔTF and FRE yielded an average BCC for both fires of 0.367 (s.d.&nbsp;±&nbsp;0.049) kg MJ<sup>−1</sup><span>&nbsp;</span>based on pixels with at least five MODIS observations. Both higher MODIS observations per pixel and accounting for canopy occlusion of FRE improved the relationship between ΔTF and MODIS-FRE. This study suggested a practical modelling approach for future efforts using only post-fire field observations and quantified a landscape-scale relationship between MODIS-derived FRE and fine-scale fuel consumption consistent with prior experiments.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2020.112114","usgsCitation":"McCarley, T.R., Hudak, A.T., Sparks, A.M., Vaillant, N.S., Meddens, A.J., Trader, L., Kreitler, J.R., and Boschetti, L., 2020, Estimating wildfire fuel consumption with multitemporal airborne laser scanning data and demonstrating linkage with MODIS-derived fire radiative energy: Remote Sensing of Environment, v. 251, 112114, 14 p., https://doi.org/10.1016/j.rse.2020.112114.","productDescription":"112114, 14 p.","ipdsId":"IP-116345","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":455194,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2020.112114","text":"Publisher Index Page"},{"id":421671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.46,\n              44.6\n            ],\n            [\n              -121.46,\n              44.14\n            ],\n            [\n              -121.34,\n              44.14\n            ],\n            [\n              -121.34,\n              44.6\n            ],\n            [\n              -121.46,\n              44.6\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.28,\n              35.52\n            ],\n            [\n              -106.28,\n              35.48\n            ],\n            [\n              -106.16,\n              35.48\n            ],\n            [\n              -106.16,\n              35.52\n            ],\n            [\n              -106.28,\n              35.52\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"251","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCarley, T. Ryan","contributorId":196908,"corporation":false,"usgs":false,"family":"McCarley","given":"T.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":885460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudak, Andrew T.","contributorId":196022,"corporation":false,"usgs":false,"family":"Hudak","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":885461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sparks, Aaron M.","contributorId":330625,"corporation":false,"usgs":false,"family":"Sparks","given":"Aaron","email":"","middleInitial":"M.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":885462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vaillant, Nicole S.","contributorId":330626,"corporation":false,"usgs":false,"family":"Vaillant","given":"Nicole","email":"","middleInitial":"S.","affiliations":[{"id":32414,"text":"Forest Service","active":true,"usgs":false}],"preferred":false,"id":885463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meddens, Arjan J.H.","contributorId":140349,"corporation":false,"usgs":false,"family":"Meddens","given":"Arjan","email":"","middleInitial":"J.H.","affiliations":[{"id":13466,"text":"Univ. of Idaho","active":true,"usgs":false}],"preferred":false,"id":885464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Trader, Laura","contributorId":330627,"corporation":false,"usgs":false,"family":"Trader","given":"Laura","email":"","affiliations":[{"id":13367,"text":"National Parks Service","active":true,"usgs":false}],"preferred":false,"id":885465,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":885466,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boschetti, Luigi","contributorId":330628,"corporation":false,"usgs":false,"family":"Boschetti","given":"Luigi","email":"","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":885467,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263603,"text":"70263603 - 2020 - Nodal seismograph recordings of the 2019 Ridgecrest Earthquake Sequence","interactions":[],"lastModifiedDate":"2025-02-18T15:40:58.148666","indexId":"70263603","displayToPublicDate":"2020-09-30T00:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Nodal seismograph recordings of the 2019 Ridgecrest Earthquake Sequence","docAbstract":"<p>The 2019 Ridgecrest, California earthquake sequence included <i>M</i><sub>w</sub> 6.4 and Mw 7.1 earthquakes that occurred on successive days beginning on 4 July 2019. These two largest earthquakes of the sequence occurred on orthogonal faults that ruptured the Earth’s surface. To better evaluate the 3D subsurface fault structure, (<i>P</i>- and <i>S</i>-wave) velocity, 3D and temporal variations in seismicity, and other important aspects of the earthquake sequence, we recorded aftershocks and ambient noise using up to 461 three-component nodal seismographs for about two months, beginning about one day after the <i>M</i><sub>w</sub> 7.1 mainshock. The ~ 30,000 <i>M</i><sub>w</sub>≥1 earthquakes that were recorded on the dense arrays provide an unusually large volume of data with which to evaluate the earthquake sequence. This report describes the recording arrays and is intended to provide metadata for researchers interested in evaluating various aspects of the 2019 Ridgecrest earthquake sequence using the nodal data set.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200203","usgsCitation":"Catchings, R.D., Goldman, M., Steidl, J.H., Chan, J., Allam, A., Criley, C., Ma, Z., Langermann, D., Huddleston, G., McEvilly, A., Mongovin, D., and Ben-Zion, Y., 2020, Nodal seismograph recordings of the 2019 Ridgecrest Earthquake Sequence: Seismological Research Letters, v. 91, no. 6, p. 3622-3633, https://doi.org/10.1785/0220200203.","productDescription":"12 p.","startPage":"3622","endPage":"3633","ipdsId":"IP-116990","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Staets","state":"California","city":"Ridgecrest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.84463534796981,\n              35.703354079218656\n            ],\n            [\n              -117.84463534796981,\n              35.534977065306975\n            ],\n            [\n              -117.55394107005387,\n              35.534977065306975\n            ],\n            [\n              -117.55394107005387,\n              35.703354079218656\n            ],\n            [\n              -117.84463534796981,\n              35.703354079218656\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"91","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldman, Mark 0000-0002-0802-829X","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":205863,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":927515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steidl, Jamison Haase 0000-0003-0612-7654","orcid":"https://orcid.org/0000-0003-0612-7654","contributorId":239709,"corporation":false,"usgs":true,"family":"Steidl","given":"Jamison","email":"","middleInitial":"Haase","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chan, Joanne 0000-0002-2065-2423","orcid":"https://orcid.org/0000-0002-2065-2423","contributorId":205864,"corporation":false,"usgs":true,"family":"Chan","given":"Joanne","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allam, Amir A. 0000-0002-6447-0779","orcid":"https://orcid.org/0000-0002-6447-0779","contributorId":350962,"corporation":false,"usgs":false,"family":"Allam","given":"Amir A.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":927518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Criley, Coyn 0000-0002-0227-0165","orcid":"https://orcid.org/0000-0002-0227-0165","contributorId":223113,"corporation":false,"usgs":true,"family":"Criley","given":"Coyn","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":927519,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ma, Zhenning","contributorId":350963,"corporation":false,"usgs":false,"family":"Ma","given":"Zhenning","affiliations":[{"id":24737,"text":"China University of Geosciences, Beijing","active":true,"usgs":false}],"preferred":false,"id":927520,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Langermann, Daniel S.","contributorId":351005,"corporation":false,"usgs":false,"family":"Langermann","given":"Daniel 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Thomas","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927523,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ben-Zion, Yehuda 0000-0002-9602-2014","orcid":"https://orcid.org/0000-0002-9602-2014","contributorId":350966,"corporation":false,"usgs":false,"family":"Ben-Zion","given":"Yehuda","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":927525,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70214515,"text":"sir20205083 - 2020 - The Everglades Depth Estimation Network (EDEN) surface-water interpolation model, version 3","interactions":[],"lastModifiedDate":"2020-09-30T12:35:17.865835","indexId":"sir20205083","displayToPublicDate":"2020-09-29T12:47:07","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5083","displayTitle":"The Everglades Depth Estimation Network (EDEN) Surface-Water Interpolation Model, Version 3","title":"The Everglades Depth Estimation Network (EDEN) surface-water interpolation model, version 3","docAbstract":"<p>The Everglades Depth Estimation Network (EDEN) is an integrated network of water-level gages, interpolation models that estimate daily water-level data at ungaged locations, and applications that generate derived hydrologic data across the freshwater part of the Greater Everglades landscape. Version&nbsp;3 (V3) of the EDEN interpolation surface-water model is the most recent update, replacing the version 2 (V2) model released in 2011.</p><p>The primary revision for the V3 model is the switch to the R programming language to create a more efficient and portable EDEN code relative to V2, without reliance on proprietary software. Using R, the interpolation script runs over 10 times faster and is more easily updated, for example, to accommodate changes in the gage network or to incorporate R&nbsp;software updates. Additional revisions made for the V3 model include updates to the interpolation model, the gage network, and groundwater-level estimations. The EDEN model domain in the Greater Everglades and Big Cypress National Preserve is divided into subdomains that are based on hydrologic boundaries. In the V3 model, the number of subdomains was increased from five to eight, which allows hydrologic boundaries, such as levees and canals, to be better represented in the interpolation scheme. Five pseudogages were added to constrain the water-level surface at subdomain boundaries. Changes made to the water-level gage network between the implementation of the V2 and V3 models are incorporated, and groundwater-level estimations are added, which are important information for hydrologic and ecological studies.</p><p>Summary model performance statistics indicate similar accuracy in water-level surfaces generated by the V3 and V2 models, with a root mean square error of 4.78 centimeters for both interpolation models against independent water-level measurements. Providing stability and continuity for the EDEN user community, the V3 model closely replicates the V2 model, with a root mean square difference of 3.87&nbsp;centimeters for interpolated surfaces from April 1, 2014, to March 31, 2018. The additional groundwater levels provide a realistic estimate of the saturated groundwater surface continuous with the surface-water surface for Water Conservation Areas 2A and 2B from 2000 to 2011. This continuous surface is a more accurate estimation of the spatial distribution of water in the hydrologic system than before, providing needed information for ecological studies in areas where depth to water table affects habitats. Development of the EDEN V3 model advances the tools available to scientists and resource managers for guiding large-scale field operations, describing hydrologic changes, and supporting biological and ecological assessments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205083","collaboration":"USGS Greater Everglades Priority Ecosystems Science Program<br />Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Haider, S., Swain, E., Beerens, J., Petkewich, M., McCloskey, B., and Henkel, H., 2020, The Everglades Depth Estimation Network (EDEN) surface-water interpolation model, version 3: U.S. Geological Survey Scientific Investigations Report 2020–5083, 31 p., https://doi.org/10.3133/sir20205083.","productDescription":"vii, 31 p.","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-108545","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":498807,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13LKNMX","text":"USGS data release","linkHelpText":"EDEN: Everglades Depth Estimation Network Water Level And Depth Surfaces version 3.4.0"},{"id":436773,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UCHYVB","text":"USGS data release","linkHelpText":"EDEN: Everglades Depth Estimation Network Water Level And Depth Surfaces"},{"id":378830,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5083/coverthb.jpg"},{"id":378831,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5083/sir20205083.pdf","text":"Report","size":"18.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5083"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades landscape","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.93603515625,\n              25.997549919572112\n            ],\n            [\n              -81.2109375,\n              24.956180020055925\n            ],\n            [\n              -80.22216796875,\n              25.045792240303445\n            ],\n            [\n              -79.903564453125,\n              25.710836919640595\n            ],\n            [\n              -79.771728515625,\n              26.539394329017032\n            ],\n            [\n              -81.89208984375,\n              26.49024045886963\n            ],\n            [\n              -81.93603515625,\n              25.997549919572112\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\" href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey <br>4446 Pet Lane, Suite 108 <br>Lutz, FL 33559 </p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Approach</li><li>Results</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-09-29","noUsgsAuthors":false,"publicationDate":"2020-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":799769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swain, Eric 0000-0001-7168-708X","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":223705,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":799770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beerens, James 0000-0001-8143-916X","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":209774,"corporation":false,"usgs":true,"family":"Beerens","given":"James","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":799771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petkewich, Matthew D. 0000-0002-5749-6356 mdpetkew@usgs.gov","orcid":"https://orcid.org/0000-0002-5749-6356","contributorId":982,"corporation":false,"usgs":true,"family":"Petkewich","given":"Matthew","email":"mdpetkew@usgs.gov","middleInitial":"D.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCloskey, Bryan 0000-0003-1975-2440 bmccloskey@usgs.gov","orcid":"https://orcid.org/0000-0003-1975-2440","contributorId":3953,"corporation":false,"usgs":true,"family":"McCloskey","given":"Bryan","email":"bmccloskey@usgs.gov","affiliations":[],"preferred":true,"id":799773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henkel, Heather 0000-0002-7810-2010 hhenkel@usgs.gov","orcid":"https://orcid.org/0000-0002-7810-2010","contributorId":176203,"corporation":false,"usgs":true,"family":"Henkel","given":"Heather","email":"hhenkel@usgs.gov","affiliations":[],"preferred":true,"id":799774,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70214617,"text":"70214617 - 2020 - Shifting food web structure during dam removal—Disturbance and recovery during a major restoration action","interactions":[],"lastModifiedDate":"2020-10-01T17:55:07.21694","indexId":"70214617","displayToPublicDate":"2020-09-29T12:46:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Shifting food web structure during dam removal—Disturbance and recovery during a major restoration action","docAbstract":"<p><span>We measured food availability and diet composition of juvenile salmonids over multiple years and seasons before and during the world’s largest dam removal on the Elwha River, Washington State. We conducted these measurements over three sediment-impacted sections (the estuary and two sections of the river downstream of each dam) and compared these to data collected from mainstem tributaries not directly affected by the massive amount of sediment released from the reservoirs. We found that sediment impacts from dam removal significantly reduced invertebrate prey availability, but juvenile salmon adjusted their foraging so that the amount of energy in diets was similar before and during dam removal. This general pattern was seen in both river and estuary habitats, although the mechanisms driving the change and the response differed between habitats. In the estuary, the dietary shifts were related to changes in invertebrate assemblages following a hydrological transition from brackish to freshwater caused by sediment deposition at the river’s mouth. The loss of brackish invertebrate species caused fish to increase piscivory and rely on new prey sources such as plankton. In the river, energy provided to fish by Ephemeroptera, Plecoptera, and Trichoptera taxa before dam removal was replaced first by terrestrial invertebrates, and then by sediment-tolerant taxa such as Chironomidae. The results of our study are consistent with many others that have shown sharp declines in invertebrate density during dam removal. Our study further shows how those changes can move through the food web and affect fish diet composition, selectivity, and energy availability. As we move further along the dam removal response trajectory, we hypothesize that food web complexity will continue to increase as annual sediment load now approaches natural background levels, anadromous fish have recolonized the majority of the watershed between and above the former dams, and revegetation and microhabitats continue to develop in the estuary.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0239198","usgsCitation":"Morley, S.A., Foley, M.M., Duda, J.J., Beirne, M.M., Paradis, R.L., Johnson, R.C., McHenry, M.L., Elofson, M., Sampson, E.M., McCoy, R.E., Stapleton, J., and Pess, G.R., 2020, Shifting food web structure during dam removal—Disturbance and recovery during a major restoration action: PLoS ONE, v. 15, no. 9, e0239198, 34 p., https://doi.org/10.1371/journal.pone.0239198.","productDescription":"e0239198, 34 p.","ipdsId":"IP-117389","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":455196,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0239198","text":"Publisher Index Page"},{"id":378966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River, Olympic Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.64974975585938,\n              47.81960975604292\n            ],\n            [\n              -123.38882446289061,\n              47.81960975604292\n            ],\n            [\n              -123.38882446289061,\n              48.16333749877855\n            ],\n            [\n              -123.64974975585938,\n              48.16333749877855\n            ],\n            [\n              -123.64974975585938,\n              47.81960975604292\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Morley, Sarah A.","contributorId":148956,"corporation":false,"usgs":false,"family":"Morley","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":17601,"text":"NOAA Fisheries, Northwest Fisheries Science Center, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":800243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Melissa M 0000-0002-5832-6404","orcid":"https://orcid.org/0000-0002-5832-6404","contributorId":238117,"corporation":false,"usgs":false,"family":"Foley","given":"Melissa","email":"","middleInitial":"M","affiliations":[{"id":47699,"text":"San Francisco Estuary Institute, Richmond, CA","active":true,"usgs":false}],"preferred":false,"id":800244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":800245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beirne, Mathew M","contributorId":241958,"corporation":false,"usgs":false,"family":"Beirne","given":"Mathew","email":"","middleInitial":"M","affiliations":[{"id":47700,"text":"Natural Resources Department, Lower Elwha Klallam Tribe, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":800246,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paradis, Rebecca L","contributorId":241960,"corporation":false,"usgs":false,"family":"Paradis","given":"Rebecca","email":"","middleInitial":"L","affiliations":[{"id":47700,"text":"Natural Resources Department, Lower Elwha Klallam Tribe, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":800247,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Rachelle Carina 0000-0003-1480-4088","orcid":"https://orcid.org/0000-0003-1480-4088","contributorId":241962,"corporation":false,"usgs":true,"family":"Johnson","given":"Rachelle","email":"","middleInitial":"Carina","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":800248,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McHenry, Michael L.","contributorId":39672,"corporation":false,"usgs":false,"family":"McHenry","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":800249,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Elofson, Mel","contributorId":241966,"corporation":false,"usgs":false,"family":"Elofson","given":"Mel","email":"","affiliations":[{"id":47700,"text":"Natural Resources Department, Lower Elwha Klallam Tribe, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":800250,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sampson, Earnest M","contributorId":241968,"corporation":false,"usgs":false,"family":"Sampson","given":"Earnest","email":"","middleInitial":"M","affiliations":[{"id":47700,"text":"Natural Resources Department, Lower Elwha Klallam Tribe, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":800251,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCoy, Randall E","contributorId":241971,"corporation":false,"usgs":false,"family":"McCoy","given":"Randall","email":"","middleInitial":"E","affiliations":[{"id":47700,"text":"Natural Resources Department, Lower Elwha Klallam Tribe, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":800252,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stapleton, Justin","contributorId":241974,"corporation":false,"usgs":false,"family":"Stapleton","given":"Justin","email":"","affiliations":[{"id":47700,"text":"Natural Resources Department, Lower Elwha Klallam Tribe, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":800253,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pess, George R.","contributorId":13501,"corporation":false,"usgs":false,"family":"Pess","given":"George","email":"","middleInitial":"R.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":800254,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70214968,"text":"70214968 - 2020 - The distribution of woody species in relation to climate and fire in Yosemite National Park, California, USA","interactions":[],"lastModifiedDate":"2020-10-03T15:26:50.097038","indexId":"70214968","displayToPublicDate":"2020-09-29T10:24:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The distribution of woody species in relation to climate and fire in Yosemite National Park, California, USA","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>The effects of climate on plant species ranges are well appreciated, but the effects of other processes, such as fire, on plant species distribution are less well understood. We used a dataset of 561 plots 0.1 ha in size located throughout Yosemite National Park, in the Sierra Nevada of California, USA, to determine the joint effects of fire and climate on woody plant species. We analyzed the effect of climate (annual actual evapotranspiration [AET], climatic water deficit [Deficit]) and fire characteristics (occurrence [BURN] for all plots, fire return interval departure [FRID] for unburned plots, and severity of the most severe fire [dNBR]) on the distribution of woody plant species.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Of 43 species that were present on at least two plots, 38 species occurred on five or more plots. Of those 38 species, models for the distribution of 13 species (34%) were significantly improved by including the variable for fire occurrence (BURN). Models for the distribution of 10 species (26%) were significantly improved by including FRID, and two species (5%) were improved by including dNBR. Species for which distribution models were improved by inclusion of fire variables included some of the most areally extensive woody plants. Species and ecological zones were aligned along an AET-Deficit gradient from cool and moist to hot and dry conditions.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>In fire-frequent ecosystems, such as those in most of western North America, species distribution models were improved by including variables related to fire. Models for changing species distributions would also be improved by considering potential changes to the fire regime.</p>","language":"English","publisher":"Springer","doi":"10.1186/s42408-020-00079-9","usgsCitation":"van Wagtendonk, J., Moore, P., Yee, J.L., and Lutz, J.A., 2020, The distribution of woody species in relation to climate and fire in Yosemite National Park, California, USA: Fire Ecology, v. 16, 22, 23 p., https://doi.org/10.1186/s42408-020-00079-9.","productDescription":"22, 23 p.","ipdsId":"IP-117438","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":455198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-020-00079-9","text":"Publisher Index Page"},{"id":379026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.13549804687501,\n              36.94989178681327\n            ],\n            [\n              -118.24584960937499,\n              36.94989178681327\n            ],\n            [\n              -118.24584960937499,\n              38.272688535980976\n            ],\n            [\n              -120.13549804687501,\n              38.272688535980976\n            ],\n            [\n              -120.13549804687501,\n              36.94989178681327\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2020-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"van Wagtendonk, Jan W.","contributorId":189573,"corporation":false,"usgs":false,"family":"van Wagtendonk","given":"Jan W.","affiliations":[],"preferred":false,"id":800466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Peggy E","contributorId":242603,"corporation":false,"usgs":false,"family":"Moore","given":"Peggy E","affiliations":[{"id":48478,"text":"retired USGS WERC employee","active":true,"usgs":false}],"preferred":false,"id":800467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":800468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lutz, James A.","contributorId":139178,"corporation":false,"usgs":false,"family":"Lutz","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":800469,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215697,"text":"70215697 - 2020 - Differences in rhizosphere microbial communities between native and non‐native Phragmites australis may depend on stand density","interactions":[],"lastModifiedDate":"2020-10-29T15:20:49.581163","indexId":"70215697","displayToPublicDate":"2020-09-29T08:35:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Differences in rhizosphere microbial communities between native and non‐native <i>Phragmites australis</i> may depend on stand density","title":"Differences in rhizosphere microbial communities between native and non‐native Phragmites australis may depend on stand density","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Microorganisms surrounding plant roots may benefit invasive species through enhanced mutualism or decreased antagonism, when compared to surrounding native species. We surveyed the rhizosphere soil microbiome of a prominent invasive plant,<span>&nbsp;</span><i>Phragmites australis</i>, and its co‐occurring native subspecies for evidence of microbial drivers of invasiveness. If the rhizosphere microbial community is important in driving plant invasions, we hypothesized that non‐native<span>&nbsp;</span><i>Phragmites</i><span>&nbsp;</span>would cultivate a different microbiome from native<span>&nbsp;</span><i>Phragmites</i>, containing fewer pathogens, more mutualists, or both. We surveyed populations of native and non‐native<span>&nbsp;</span><i>Phragmites</i><span>&nbsp;</span>across Michigan and Ohio USA, and we described rhizosphere microbial communities using culture‐independent next‐generation sequencing. We found little evidence that native and non‐native<span>&nbsp;</span><i>Phragmites</i><span>&nbsp;</span>cultivate distinct bacterial, fungal, or oomycete rhizosphere communities. Microbial community differences in our Michigan survey were not associated with plant lineage but were mainly driven by environmental factors, such as soil saturation and nutrient concentrations. Intensive sampling along transects consisting of dense monocultures of each lineage and mixed zones revealed bacterial community differences between lineages in dense monoculture, but not in mixture. We found no evidence of functional differences in the microbial communities surrounding each lineage. We extrapolate that the invasiveness of non‐native<span>&nbsp;</span><i>Phragmites</i>, when compared to its native congener, does not result from the differential cultivation of beneficial or antagonistic rhizosphere microorganisms.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6811","usgsCitation":"Bickford, W.A., Zak, D.R., Kowalski, K., and Goldberg, D.E., 2020, Differences in rhizosphere microbial communities between native and non‐native Phragmites australis may depend on stand density: Ecology and Evolution, v. 10, no. 20, p. 11739-11751, https://doi.org/10.1002/ece3.6811.","productDescription":"13 p.","startPage":"11739","endPage":"11751","ipdsId":"IP-116788","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":455200,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6811","text":"Publisher Index Page"},{"id":436775,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93BBZWU","text":"USGS data release","linkHelpText":"Data analysis and figures for Differences in Rhizosphere Microbial Communities Between Native and Non-Native Phragmites australis May Depend on Stand Density"},{"id":436774,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HP8UXZ","text":"USGS data release","linkHelpText":"Soil microbes surrounding native and non-native Phragmites australis in the Great Lakes and East Coast of the United States (2015-2017 survey)"},{"id":379866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          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R.","contributorId":211586,"corporation":false,"usgs":false,"family":"Zak","given":"Donald","email":"","middleInitial":"R.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":803160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":803161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldberg, Deborah E.","contributorId":211585,"corporation":false,"usgs":false,"family":"Goldberg","given":"Deborah","email":"","middleInitial":"E.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":803162,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216489,"text":"70216489 - 2020 - Climate, sea level, and people - Changing South Florida's mangrove coast","interactions":[],"lastModifiedDate":"2020-11-23T14:35:27.724834","indexId":"70216489","displayToPublicDate":"2020-09-29T08:32:34","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Climate, sea level, and people - Changing South Florida's mangrove coast","docAbstract":"<p><span>South Florida’s coast is a land of contrasts that appeals to almost everyone, whether they seek out quiet natural environments along the mangrove waterways and in the wilderness of the Everglades or vibrant international culture in Miami. Yet this paradise is threatened by a number of forces&nbsp;– changing climate, rising sea level, and too many people, to name a few. Florida’s past is filled with stories of dramatic change and resiliency, if we look at the geologic record. It also hints at the role of climate alone, in the absence of significant sea level change, in shaping the mangrove coast. Using our knowledge of present-day processes, such as impacts of storms on the mangroves, combined with our interpretation of the past geologic record, is the best way to anticipate future changes. The question is, have humans altered this landscape so much that the species and habitats have lost their natural resiliency, and if they have, what will happen to the people and the unique environments of south Florida?</span></p>","language":"English","publisher":"Springer","doi":"10.1007/978-3-030-52383-1_12","usgsCitation":"Wingard, G.L., 2020, Climate, sea level, and people - Changing South Florida's mangrove coast, p. 189-211, https://doi.org/10.1007/978-3-030-52383-1_12.","productDescription":"23 p.","startPage":"189","endPage":"211","ipdsId":"IP-112945","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":380685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.4853515625,\n              24.926294766395593\n            ],\n            [\n              -79.89257812499999,\n              24.926294766395593\n            ],\n            [\n              -79.89257812499999,\n              27.01998400798257\n            ],\n            [\n              -82.4853515625,\n              27.01998400798257\n            ],\n            [\n              -82.4853515625,\n              24.926294766395593\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2020-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":805400,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70221555,"text":"70221555 - 2020 - Timescale methods for simplifying, understanding and modeling biophysical and water quality processes in coastal aquatic ecosystems: A review","interactions":[],"lastModifiedDate":"2021-06-23T12:39:32.793452","indexId":"70221555","displayToPublicDate":"2020-09-29T06:49:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Timescale methods for simplifying, understanding and modeling biophysical and water quality processes in coastal aquatic ecosystems: A review","docAbstract":"<p><span>In this article, we describe the use of diagnostic timescales as simple tools for illuminating how aquatic ecosystems work, with a focus on coastal systems such as estuaries, lagoons, tidal rivers, reefs, deltas, gulfs, and continental shelves. Intending this as a tutorial as well as a review, we discuss relevant fundamental concepts (e.g., Lagrangian and Eulerian perspectives and methods, parcels, particles, and tracers), and describe many of the most commonly used diagnostic timescales and definitions. Citing field-based, model-based, and simple algebraic methods, we describe how physical timescales (e.g., residence time, flushing time, age, transit time) and biogeochemical timescales (e.g., for growth, decay, uptake, turnover, or consumption) are estimated and implemented (sometimes together) to illuminate coupled physical-biogeochemical systems. Multiple application examples are then provided to demonstrate how timescales have proven useful in simplifying, understanding, and modeling complex coastal aquatic systems. We discuss timescales from the perspective of “holism”, the degree of process richness incorporated into them, and the value of clarity in defining timescales used and in describing how they were estimated. Our objective is to provide context, new applications and methodological ideas and, for those new to timescale methods, a starting place for implementing them in their own work.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w12102717","usgsCitation":"Lucas, L., and Deleersnijder, E., 2020, Timescale methods for simplifying, understanding and modeling biophysical and water quality processes in coastal aquatic ecosystems: A review: Water, v. 12, no. 10, 2717, 65 p., https://doi.org/10.3390/w12102717.","productDescription":"2717, 65 p.","ipdsId":"IP-119708","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":455205,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w12102717","text":"Publisher Index Page"},{"id":386640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Lucas, Lisa 0000-0001-7797-5517 llucas@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-5517","contributorId":260498,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"llucas@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":818032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deleersnijder, Eric 0000-0003-0346-9667","orcid":"https://orcid.org/0000-0003-0346-9667","contributorId":260499,"corporation":false,"usgs":false,"family":"Deleersnijder","given":"Eric","email":"","affiliations":[{"id":52602,"text":"Université catholique de Louvain, Institute of Mechanics, Materials and Civil Engineering (IMMC) & Earth and Life Institute (ELI), Louvain-la-Neuve, Belgium","active":true,"usgs":false}],"preferred":false,"id":818033,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70214236,"text":"sim3460 - 2020 - Potentiometric surfaces, 2011–12, and water-level differences between 1995 and 2011–12, in wells of the “200-foot,” “500-foot,” and “700-foot” sands of the Lake Charles area, southwestern Louisiana","interactions":[],"lastModifiedDate":"2020-09-30T12:20:54.19763","indexId":"sim3460","displayToPublicDate":"2020-09-28T10:47:44","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3460","displayTitle":"Potentiometric Surfaces, 2011–12, and Water-Level Differences Between 1995 and 2011–12, in Wells of the “200-Foot,” “500-Foot,” and “700-Foot” Sands of the Lake Charles Area, Southwestern Louisiana","title":"Potentiometric surfaces, 2011–12, and water-level differences between 1995 and 2011–12, in wells of the “200-foot,” “500-foot,” and “700-foot” sands of the Lake Charles area, southwestern Louisiana","docAbstract":"<p>Water levels were determined in 90 wells to prepare 2011–12 potentiometric surfaces focusing primarily on the “200-foot,” 500-foot,” and “700-foot” sands of the Lake Charles area, which are part of the Chicot aquifer system underlying Calcasieu and Cameron Parishes of southwestern Louisiana. These three aquifers provided 34 percent of the total water withdrawn and 93 percent of the groundwater withdrawn in Calcasieu and Cameron Parishes in 2012 (84.5 million gallons per day [Mgal/d]). This work was completed by the U.S. Geological Survey, in cooperation with the Louisiana Department of Transportation and Development, to assist in developing and evaluating groundwater-resource management strategies. The highest water levels determined in wells screened in the “200-foot,” “500-foot,” and “700-foot” sands were about 8 feet (ft) above the National Geodetic Vertical Datum of 1929 (NGVD 29), 2 ft below NGVD 29, and 14 ft below NGVD 29, respectively, and were located in northwestern Calcasieu Parish. The lowest water levels determined in wells screened in the “200-foot,” “500-foot,” and “700-foot” sands were approximately 50, 80, and 70 ft below NGVD 29, respectively, and were located in the southern Lake Charles metropolitan area, to the west of Prien Lake, and between the cities of Lake Charles and Sulphur, respectively. The primary groundwater flow direction in these three aquifers was radially towards pumping centers overlying the water-level lows. Comparisons of water-level differences in 42 wells measured in 1995 and 2011–12 indicated that the maximum increases in water levels for wells screened in the “200-foot,” “500-foot,” and “700-foot” sands were approximately 7, 31, and 19 ft, respectively. Water-level increases coincided with a decline in total groundwater withdrawals during the period (about 25 Mgal/d from 1995 to 2012) from these sands. More specifically, withdrawals from the “500-foot” sand affected water levels in wells screened in the “200-foot” and “700-foot” sands because the three are hydraulically connected and withdrawals from the “500-foot” sand were greater by volume than withdrawals from the “200-foot” and “700-foot” sands.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3460","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Griffith, J.M., 2020, Potentiometric surfaces, 2011–12, and water-level differences between 1995 and 2011–12, in wells of the “200-foot,” “500-foot,” and “700-foot” sands of the Lake Charles area, southwestern Louisiana: U.S. Geological Survey Scientific Investigations Map 3460, 4 sheets, 11-p. pamphlet, https://dx.doi.org/10.3133/sim3460.","productDescription":"Pamphlet: viii, 11 p.; 4 Sheets: 32.00  x 28.00 inches or smaller","numberOfPages":"23","onlineOnly":"Y","ipdsId":"IP-055171","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":378720,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3460/sim3460_sheet4.pdf","text":"Sheet 4","size":"932 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3460 Sheet 4"},{"id":378719,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3460/sim3460_sheet3.pdf","text":"Sheet 3","size":"1.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3460 Sheet 3"},{"id":378715,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3460/coverthb.jpg"},{"id":378718,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3460/sim3460_sheet2.pdf","text":"Sheet 2","size":"1.70 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3460 Sheet 2"},{"id":378716,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3460/sim3460_pamphlet.pdf","text":"Pamphlet","size":"499 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3460 Pamphlet"},{"id":378717,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3460/sim3460_sheet1.pdf","text":"Sheet 1","size":"1.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3460 Sheet 1"}],"country":"United States","state":"Louisiana","otherGeospatial":"Lake Charles area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.812255859375,\n              29.6594160549124\n            ],\n            [\n              -92.61474609375,\n              29.6594160549124\n            ],\n            [\n              -92.61474609375,\n              30.524413269923986\n            ],\n            [\n              -93.812255859375,\n              30.524413269923986\n            ],\n            [\n              -93.812255859375,\n              29.6594160549124\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211<br><br> </p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrogeologic Setting</li><li>Methods</li><li>Potentiometric Surfaces and Water-Level Differences in Wells of the “200-Foot” Sand</li><li>Potentiometric Surfaces and Water-Level Differences in Wells in the “500-Foot” Sand</li><li>Potentiometric Surfaces and Water-Level Differences in Wells in the “700-Foot” Sand</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-09-28","noUsgsAuthors":false,"publicationDate":"2020-09-28","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Jason M. 0000-0002-8942-0380 jmgriff@usgs.gov","orcid":"https://orcid.org/0000-0002-8942-0380","contributorId":2923,"corporation":false,"usgs":true,"family":"Griffith","given":"Jason","email":"jmgriff@usgs.gov","middleInitial":"M.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799579,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70214528,"text":"70214528 - 2020 - The collection and analysis of Bay of Fundy sediment under contract between the association of US delegates to the Gulf of Maine Council on the marine environment and eastern Charlotte waterways for contaminant monitoring and analysis","interactions":[],"lastModifiedDate":"2020-09-30T15:15:04.870982","indexId":"70214528","displayToPublicDate":"2020-09-28T10:13:18","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"The Collection and Analysis of Bay of Fundy Sediment Under Contract between the Association of US Delegates to the Gulf of Maine Council on the Marine Environment and Eastern Charlotte Waterways for Contaminant Monitoring and Analysis","title":"The collection and analysis of Bay of Fundy sediment under contract between the association of US delegates to the Gulf of Maine Council on the marine environment and eastern Charlotte waterways for contaminant monitoring and analysis","docAbstract":"This report presents data obtained through the EcoSystem Indicator Partnership (ESIP) which was established in 2006 to improve understanding and to inform researchers, managers, and citizens about the status and trends of ecosystem health in the Gulf of Maine (http://www.gulfofmaine.org/2/esip-homepage/). In its efforts to compile information on contaminant indicators in the Gulf of Maine, ESIP identified gaps in monitoring information and worked in partnership with the Gulf of Maine Council and other organizations to fill these gaps. The monitoring and data gaps identified by ESIP indicated that data on contaminants in intertidal/subtidal sediments were lacking for the Bay of Fundy. To address this data gap, the Association of US Delegates to the Gulf of Maine Council on the Marine Environment contracted Eastern Charlotte Waterways Inc., an independent non-governmental organization, to conduct a contaminant monitoring and analysis project funded by Environment and Climate Change Canada . This report summarizes the data produced from this sediment analysis project.","language":"English","publisher":"Gulf of Maine Council","collaboration":"Dalhousie University, US EPA, Bowdoin College, Lawrence LeBlanc Consulting","usgsCitation":"Latimer, J.S., Page, D., Elskus, A., LeBlanc, L., Harding, G., and Wells, P.G., 2020, The collection and analysis of Bay of Fundy sediment under contract between the association of US delegates to the Gulf of Maine Council on the marine environment and eastern Charlotte waterways for contaminant monitoring and analysis, 92 p.","productDescription":"92 p.","ipdsId":"IP-118574","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":378918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378842,"type":{"id":15,"text":"Index Page"},"url":"https://gulfofmaine.org/public/gulf-of-maine-council-on-the-marine-environment/publications/"}],"country":"United States, Canada","otherGeospatial":"Gulf of Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.982421875,\n              41.65649719441145\n            ],\n            [\n              -63.30322265625001,\n              41.65649719441145\n            ],\n            [\n              -63.30322265625001,\n              46.118941506107056\n            ],\n            [\n              -71.982421875,\n              46.118941506107056\n            ],\n            [\n              -71.982421875,\n              41.65649719441145\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Latimer, James S","contributorId":222883,"corporation":false,"usgs":false,"family":"Latimer","given":"James","email":"","middleInitial":"S","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":799828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, David","contributorId":222884,"corporation":false,"usgs":false,"family":"Page","given":"David","email":"","affiliations":[{"id":33315,"text":"Bowdoin College","active":true,"usgs":false}],"preferred":false,"id":799829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elskus, Adria 0000-0003-1192-5124 aelskus@usgs.gov","orcid":"https://orcid.org/0000-0003-1192-5124","contributorId":130,"corporation":false,"usgs":true,"family":"Elskus","given":"Adria","email":"aelskus@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeBlanc, Lawrence A","contributorId":222882,"corporation":false,"usgs":false,"family":"LeBlanc","given":"Lawrence A","affiliations":[{"id":40617,"text":"Lawrence LeBlanc Consulting","active":true,"usgs":false}],"preferred":false,"id":799831,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harding, Gareth","contributorId":222885,"corporation":false,"usgs":false,"family":"Harding","given":"Gareth","email":"","affiliations":[{"id":40618,"text":"Fisheries & Oceans, Bedford Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":799832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wells, Peter G","contributorId":222886,"corporation":false,"usgs":false,"family":"Wells","given":"Peter","email":"","middleInitial":"G","affiliations":[{"id":40619,"text":"International Ocean Institute Canada, Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":799833,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223893,"text":"70223893 - 2020 - Toward improving pollinator habitat: Reconstructing prairies with high forb diversity","interactions":[],"lastModifiedDate":"2021-09-13T14:29:58.087765","indexId":"70223893","displayToPublicDate":"2020-09-28T09:25:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Toward improving pollinator habitat: Reconstructing prairies with high forb diversity","docAbstract":"<p><span>Reconstructed prairies can provide habitat for pollinating insects, an important ecosystem service. To optimize reconstructions for pollinators, goals may include enhancing flowering plant cover and richness and increasing bloom availability early and late in the growing season. Resistance to invasive exotic species must also be a goal in any reconstruction, but it is unclear how increasing forb richness and dominance may affect susceptibility to invasion. We compared planted forb richness and cover, cover of planted grasses, and persistence of exotic species 10 y post-planting of reconstructions with 58 species (extra-high richness), 34 species (high), 20 species (medium), and 10 species (low) planted at the same time in the same fields, and using the same methods and overall seeding rate at Neal Smith National Wildlife Refuge in Iowa, USA. Planted forb richness and cover were higher and planted warm-season, but not cool-season, grass cover was lower in the extra-high richness plots. Mean Coefficient of Conservatism was higher and there was less cover of exotic forbs in the extra-high richness plots. Cover of exotic cool-season grasses was greater in the extra-high richness plots than in the lower-richness plots and this trend was still increasing at the last sample date. Our results are encouraging in that we increased cover of pollinator-friendly habitat, but invasive grasses are a concern as they may reduce forb cover and opportunities for ground-nesting bees in the long term.</span></p>","language":"English","publisher":"BioOne","doi":"10.3375/043.040.0322","usgsCitation":"Drobney, P., Larson, D.L., Larson, J.L., and Viste-Sparkman, K., 2020, Toward improving pollinator habitat: Reconstructing prairies with high forb diversity: Natural Areas Journal, v. 40, no. 3, p. 252-261, https://doi.org/10.3375/043.040.0322.","productDescription":"10 p.","startPage":"252","endPage":"261","ipdsId":"IP-102057","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":455209,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3375/043.040.0322","text":"Publisher Index Page"},{"id":436776,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PCJV5G","text":"USGS data release","linkHelpText":"High forb diversity prairie reconstruction at Neal Smith NWR 2005-2015"},{"id":389148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Neal Smith National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.31581115722656,\n              41.5201457403486\n            ],\n            [\n              -93.23444366455078,\n              41.5201457403486\n            ],\n            [\n              -93.23444366455078,\n              41.60902513908382\n            ],\n            [\n              -93.31581115722656,\n              41.60902513908382\n            ],\n            [\n              -93.31581115722656,\n              41.5201457403486\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drobney, Pauline","contributorId":178447,"corporation":false,"usgs":false,"family":"Drobney","given":"Pauline","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":823156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":823157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Jennifer L 0000-0002-6259-0101","orcid":"https://orcid.org/0000-0002-6259-0101","contributorId":257024,"corporation":false,"usgs":true,"family":"Larson","given":"Jennifer","email":"","middleInitial":"L","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":823158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Viste-Sparkman, Karen","contributorId":197593,"corporation":false,"usgs":false,"family":"Viste-Sparkman","given":"Karen","email":"","affiliations":[],"preferred":false,"id":823159,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70218208,"text":"70218208 - 2020 - Comparing simulations of umbrella-cloud growth and ash transport with observations from Pinatubo, Kelud, and Calbuco volcanoes","interactions":[],"lastModifiedDate":"2021-02-19T20:33:29.170078","indexId":"70218208","displayToPublicDate":"2020-09-27T14:28:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5634,"text":"Atmosphere","active":true,"publicationSubtype":{"id":10}},"title":"Comparing simulations of umbrella-cloud growth and ash transport with observations from Pinatubo, Kelud, and Calbuco volcanoes","docAbstract":"<p><span>The largest explosive volcanic eruptions produce umbrella clouds that drive ash radially outward, enlarging the area that impacts aviation and ground-based communities. Models must consider the effects of umbrella spreading when forecasting hazards from these eruptions. In this paper we test a version of the advection–dispersion model Ash3d that considers umbrella spreading by comparing its simulations with observations from three well-documented umbrella-forming eruptions: (1) the 15 June 1991 eruption of Pinatubo (Philippines); (2) the 13 February 2014 eruption of Kelud (Indonesia); and (3) phase 2 of the 22–23 April 2015 eruption of Calbuco (Chile). In volume, these eruptions ranged from several cubic kilometers dense-rock equivalent (DRE) for Pinatubo to about one tenth for Calbuco. In mass eruption rate (MER), they ranged from 10</span><sup>8</sup><span>–10</span><sup>9</sup><span>&nbsp;kg s</span><sup>−1</sup><span>&nbsp;at Pinatubo to 9–16 × 10</span><sup>6</sup><span>&nbsp;kg s</span><sup>−1</sup><span>&nbsp;at Calbuco. For each case we ran simulations that considered umbrella growth and ones that did not. All umbrella-cloud simulations produced a cloud whose area was within ~25% of the observed cloud by the end of the eruption. By the eruption end, the simulated areas of the Pinatubo, Kelud, and Calbuco clouds were 851, 53.2, and 100 × 10</span><sup>3</sup><span>&nbsp;km</span><sup>2</sup><span>&nbsp;respectively. These areas were 2.2, 2.2, and 1.5 times the areas calculated in simulations that ignored umbrella growth. For Pinatubo and Kelud, the umbrella simulations provided better agreement with the observed cloud area than the non-umbrella simulations. Each of these simulations extended 24 h from the eruption start. After the eruption ended, the difference in cloud area (umbrella minus non-umbrella) at Pinatubo persisted for many hours; at Kelud it diminished and became negative after 14 h and at Calbuco it became negative after ~23 h. The negative differences were inferred to result from the fact that non-umbrella simulations distributed ash over a wider vertical extent in the plume, and that wind shear spread the cloud out in multiple directions. Thus, for some smaller eruptions, wind shear can produce a larger cloud than might be produced by umbrella spreading alone.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/atmos11101038","usgsCitation":"Mastin, L.G., and Van Eaton, A.R., 2020, Comparing simulations of umbrella-cloud growth and ash transport with observations from Pinatubo, Kelud, and Calbuco volcanoes: Atmosphere, v. 11, no. 10, 1038, 21 p., https://doi.org/10.3390/atmos11101038.","productDescription":"1038, 21 p.","ipdsId":"IP-121394","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":455211,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/atmos11101038","text":"Publisher Index Page"},{"id":436777,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NPYCRH","text":"USGS data release","linkHelpText":"Observations and model simulations of umbrella-cloud growth during eruptions of Mount Pinatubo (Philippines, June 15, 1991), Kelud Volcano (Indonesia, February 14, 2014), and Calbuco Volcano (Chile, April 22-23, 2015)"},{"id":383397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile, Indonesia, Philippines","otherGeospatial":"Calbuco volcano, Kelud volcano, Pinatubo volcano","volume":"11","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217181,"text":"70217181 - 2020 - Effects of dewatering on behavior, distribution, and abundance of larval lampreys","interactions":[],"lastModifiedDate":"2021-01-11T14:43:47.441892","indexId":"70217181","displayToPublicDate":"2020-09-27T08:34:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of dewatering on behavior, distribution, and abundance of larval lampreys","docAbstract":"<p><span>Anthropogenic dewatering of aquatic habitats can cause stranding and mortality of burrowed larval lampreys; however, the effects of dewatering have not been quantified. We assessed: (a) changes in spatial distribution, abundance, and emergence of larvae dewatered at Leaburg Reservoir (OR); (b) emergence and mortality of larvae dewatered in a laboratory; and (c) bias, precision, and interpretation of field results by simulation and modeling of laboratory results. In the field, we examined the distribution, abundance (by N‐mixture model), and density of larvae by electrofishing at randomly selected sites before dewatering and after refill, and assessed the emergence rate by observation and excavation during dewatering. Due to dewatering in the field, about 42% of larvae emerged and spatial distribution changed toward sites dewatered less than 20 hours. Estimated average density decreased from 10.8 larvae/m</span><sup>2</sup><span>&nbsp;before dewatering to 2.3 larvae/m</span><sup>2</sup><span>&nbsp;after refilling, suggesting that abundance declined by 79%; simulation suggested this decline ranged 71–84% (interquartile range). In the laboratory, we examined the emergence and mortality rates of larvae dewatered 0–48 hrs. The emergence rate in the laboratory was similar to that in the field. Mortality rate increased with hours dewatered and was higher for emerged than burrowed larvae. Laboratory estimates of mortality rate predicted a 61% decline in abundance if only burrowed larvae survived and a 54% decline if both burrowed and emerged larvae survived. Abundance declines in the field could be from mortality (e.g., desiccation, predation) and relocation to watered habitat. Our results indicate dewatering can substantially affect spatial distribution and abundance of larval lampreys in freshwater ecosystems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3730","usgsCitation":"Harris, J.E., Skalicky, J.J., Liedtke, T.L., Weiland, L.K., Clemens, B.J., and Gray, A.E., 2020, Effects of dewatering on behavior, distribution, and abundance of larval lampreys: River Research and Applications, v. 36, no. 10, p. 2001-2012, https://doi.org/10.1002/rra.3730.","productDescription":"12 p.","startPage":"2001","endPage":"2012","ipdsId":"IP-119069","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":382054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Leaburg Reservoir, McKenzie River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.068603515625,\n              43.75522505306928\n            ],\n            [\n              -121.36596679687499,\n              43.75522505306928\n            ],\n            [\n              -121.36596679687499,\n              45.706179285330855\n            ],\n            [\n              -124.068603515625,\n              45.706179285330855\n            ],\n            [\n              -124.068603515625,\n              43.75522505306928\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Julianne E. 0000-0003-1343-5911","orcid":"https://orcid.org/0000-0003-1343-5911","contributorId":247527,"corporation":false,"usgs":false,"family":"Harris","given":"Julianne","email":"","middleInitial":"E.","affiliations":[{"id":49569,"text":"U.S. Fish and Wildlife Service, Columbia River Fish and Wildlife Conservation Office, 1211 SE Cardinal Court, Suite 100, Vancouver, Washington 98683","active":true,"usgs":false}],"preferred":false,"id":807857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skalicky, Joseph J. 0000-0002-6467-5037","orcid":"https://orcid.org/0000-0002-6467-5037","contributorId":247528,"corporation":false,"usgs":false,"family":"Skalicky","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":49569,"text":"U.S. Fish and Wildlife Service, Columbia River Fish and Wildlife Conservation Office, 1211 SE Cardinal Court, Suite 100, Vancouver, Washington 98683","active":true,"usgs":false}],"preferred":false,"id":807858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":807859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiland, Lisa K. 0000-0002-9729-4062 lweiland@usgs.gov","orcid":"https://orcid.org/0000-0002-9729-4062","contributorId":3565,"corporation":false,"usgs":true,"family":"Weiland","given":"Lisa","email":"lweiland@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":807860,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clemens, Benjamin J.","contributorId":195098,"corporation":false,"usgs":false,"family":"Clemens","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":807861,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Ann E.","contributorId":195113,"corporation":false,"usgs":false,"family":"Gray","given":"Ann","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":807862,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70214530,"text":"70214530 - 2020 - Modeling soil porewater salinity in mangrove forests (Everglades, Florida, USA) impacted by hydrological restoration and a warming climate","interactions":[],"lastModifiedDate":"2020-09-30T14:56:14.381095","indexId":"70214530","displayToPublicDate":"2020-09-26T09:49:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling soil porewater salinity in mangrove forests (Everglades, Florida, USA) impacted by hydrological restoration and a warming climate","docAbstract":"<p><span>Hydrology is a critical driver controlling mangrove wetlands structural and functional attributes at different spatial and temporal scales. Yet, human activities have negatively affected hydrology, causing mangrove diebacks and coverage loss worldwide. In fact, the assessment of mangrove water budgets, impacted by natural and human disturbances, is limited due to a lack of long-term data and information that hinders our understanding of how changes in hydroperiod and salinity control mangrove productivity and spatial distribution. In this study, we implemented a mass balance-based hydrological model (RHYMAN) that explicitly considers groundwater discharge in the Shark River estuary (SRE, southwestern Everglades) located in a karstic geomorphic setting and influenced by regional hydrological restoration. We used long-term hydroperiod and porewater salinity (PWS) datasets obtained from 2004 to 2016 for model calibration and validation and to determine spatiotemporal variability in water levels and PWS at three riverine mangrove sites (downstream, SRS-6; midstream, SRS-5; upstream, SRS-4) along SRE. Model results agree with a distinct PWS pattern along the estuarine salinity gradient where the highest PWS occurs at SRS-6 (mean: 25, range: 22–30 ppt), followed by SRS-5 (17, 14–25 ppt) and SRS-4 (5, 3–13 ppt). A commensurate increase in PWS over a thirteen-year period indicates a long-term reduction in freshwater inflow coupled with sea-level rise (SLR). Increasing freshwater scenario simulation results show a significant reduction (17–27%) in PWS along the estuary in contrast with a high SLR scenario when salinity increases up to 1.1 to 2.5 times that of control values. Model results show that freshwater inflow and SLR are key drivers controlling mangrove wetlands PWS in this karstic coastal region. Given its relatively simple structure, this mass balance-based hydrological model could be used in other environmental settings to evaluate potential habitat and regime shifts due to changes in hydrology and PWS under regional hydrological restoration management.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2020.109292","usgsCitation":"Zhao, X., Rivera-Monroy, V.H., Wang, H., Xue, Z., Tsai, C., Willson, C.S., Castañeda-Moya, E., and Twilley, R.R., 2020, Modeling soil porewater salinity in mangrove forests (Everglades, Florida, USA) impacted by hydrological restoration and a warming climate: Ecological Modelling, v. 436, 109292, 18 p., https://doi.org/10.1016/j.ecolmodel.2020.109292.","productDescription":"109292, 18 p.","ipdsId":"IP-117526","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":455213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://repository.lsu.edu/civil_engineering_pubs/1184","text":"Publisher Index Page"},{"id":378913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.9085693359375,\n              25.06072125231416\n            ],\n            [\n              -80.3814697265625,\n              25.06072125231416\n            ],\n            [\n              -80.3814697265625,\n              26.48532391504829\n            ],\n            [\n              -81.9085693359375,\n              26.48532391504829\n            ],\n            [\n              -81.9085693359375,\n              25.06072125231416\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"436","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhao, Xiaochen","contributorId":219696,"corporation":false,"usgs":false,"family":"Zhao","given":"Xiaochen","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":799834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rivera-Monroy, Victor H. 0000-0003-2804-4139","orcid":"https://orcid.org/0000-0003-2804-4139","contributorId":200322,"corporation":false,"usgs":false,"family":"Rivera-Monroy","given":"Victor","email":"","middleInitial":"H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":799835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":219641,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":799836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xue, Zuo 0000-0003-4018-0248","orcid":"https://orcid.org/0000-0003-4018-0248","contributorId":241655,"corporation":false,"usgs":false,"family":"Xue","given":"Zuo","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":799837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tsai, Cheng-Feng","contributorId":241949,"corporation":false,"usgs":false,"family":"Tsai","given":"Cheng-Feng","email":"","affiliations":[],"preferred":false,"id":799838,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Willson, C. S.","contributorId":90440,"corporation":false,"usgs":false,"family":"Willson","given":"C.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":799839,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Castañeda-Moya, E. 0000-0001-7759-4351","orcid":"https://orcid.org/0000-0001-7759-4351","contributorId":241657,"corporation":false,"usgs":false,"family":"Castañeda-Moya","given":"E.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":799840,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Twilley, Robert R.","contributorId":34585,"corporation":false,"usgs":false,"family":"Twilley","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":799841,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70216169,"text":"70216169 - 2020 - Climate- versus geographic-dependent patterns in the spatial distribution ofmacroinvertebrate assemblages in New World depressional wetlands","interactions":[],"lastModifiedDate":"2023-03-27T17:09:04.907627","indexId":"70216169","displayToPublicDate":"2020-09-26T09:44:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Climate- versus geographic-dependent patterns in the spatial distribution ofmacroinvertebrate assemblages in New World depressional wetlands","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Analyses of biota at lower latitudes may presage impacts of climate change on biota at higher latitudes. Macroinvertebrate assemblages in depressional wetlands may be especially sensitive to climate change because weather‐related precipitation and evapotranspiration are dominant ecological controls on habitats, and organisms of depressional wetlands are temperature‐sensitive ectotherms. We aimed to better understand how wetland macroinvertebrate assemblages were structured according to geography and climate. To do so, we contrasted aquatic‐macroinvertebrate assemblage structure (family level) between subtropical and temperate depressional wetlands of North and South America using presence–absence data from 264 of these habitats across the continents and more‐detailed relative‐abundance data from 56 depressional wetlands from four case‐study locations (North Dakota and Georgia in North America; southern Brazil and Argentinian Patagonia in South America). Both data sets roughly partitioned wetland numbers equally between the two climatic zones and between the continents. We used ordination methods (PCA and NMDS) and tests of multivariate dispersion (PERMDISP) to assess the distribution and the homogeneity in variation in the composition of macroinvertebrate assemblages across climates and continents, respectively. We found that macroinvertebrate assemblage structures in the subtropical depressional wetlands of North and South America were similar to each other (at the family level), while assemblages in the North and South American temperate wetlands were unique from the subtropics, and from each other. Tests of homogeneity of multivariate dispersion indicated that family‐level assemblage structures were more homogeneous in wetlands from the subtropical than the temperate zones. Our study suggests that ongoing climate change may result in the homogenization of macroinvertebrate assemblage structures in temperate zones of North and South America, with those assemblages becoming enveloped by assemblages from the subtropics. Biotic homogenization, more typically associated with other kinds of anthropogenic factors, may also be affected by climate change.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15367","usgsCitation":"Stenert, C., Pires, M., Epele, L., Grech, M., Maltchik, L., McLean, K., Mushet, D.M., and Batzer, D., 2020, Climate- versus geographic-dependent patterns in the spatial distribution ofmacroinvertebrate assemblages in New World depressional wetlands: Global Change Biology, v. 26, no. 12, p. 6895-6903, https://doi.org/10.1111/gcb.15367.","productDescription":"9 p.","startPage":"6895","endPage":"6903","ipdsId":"IP-118127","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":502424,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11336/120581","text":"External Repository"},{"id":380284,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Stenert, C.","contributorId":244632,"corporation":false,"usgs":false,"family":"Stenert","given":"C.","affiliations":[{"id":48949,"text":"Universidade do Vale do Rio dos Sinos","active":true,"usgs":false}],"preferred":false,"id":804296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pires, M.M.","contributorId":244633,"corporation":false,"usgs":false,"family":"Pires","given":"M.M.","affiliations":[{"id":48949,"text":"Universidade do Vale do Rio dos Sinos","active":true,"usgs":false}],"preferred":false,"id":804297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Epele, L.B.","contributorId":244634,"corporation":false,"usgs":false,"family":"Epele","given":"L.B.","affiliations":[{"id":48950,"text":"Centro de Investigación Esquel de Montaña y Estepa Patagónica","active":true,"usgs":false}],"preferred":false,"id":804298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grech, M.G.","contributorId":244635,"corporation":false,"usgs":false,"family":"Grech","given":"M.G.","affiliations":[{"id":48950,"text":"Centro de Investigación Esquel de Montaña y Estepa Patagónica","active":true,"usgs":false}],"preferred":false,"id":804299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maltchik, L.","contributorId":244636,"corporation":false,"usgs":false,"family":"Maltchik","given":"L.","affiliations":[{"id":48949,"text":"Universidade do Vale do Rio dos Sinos","active":true,"usgs":false}],"preferred":false,"id":804300,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McLean, Kyle 0000-0003-3803-0136 kmclean@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-0136","contributorId":168533,"corporation":false,"usgs":true,"family":"McLean","given":"Kyle","email":"kmclean@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":804301,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":804302,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Batzer, D.P.","contributorId":244637,"corporation":false,"usgs":false,"family":"Batzer","given":"D.P.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":804303,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70214645,"text":"70214645 - 2020 - From lava to water: A new era at Kīlauea","interactions":[],"lastModifiedDate":"2020-10-01T17:43:09.036638","indexId":"70214645","displayToPublicDate":"2020-09-25T12:34:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"From lava to water: A new era at Kīlauea","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020EO149557","usgsCitation":"Nadeau, P.A., Diefenbach, A., Hurwitz, S., and Swanson, D., 2020, From lava to water: A new era at Kīlauea: Eos, Earth and Space Science News, 11 p., https://doi.org/10.1029/2020EO149557.","productDescription":"11 p.","ipdsId":"IP-118975","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":455216,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020eo149557","text":"Publisher Index Page"},{"id":378964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.29329299926758,\n              19.39471557731923\n            ],\n            [\n              -155.23681640625,\n              19.39471557731923\n            ],\n            [\n              -155.23681640625,\n              19.4395612768183\n            ],\n            [\n              -155.29329299926758,\n              19.4395612768183\n            ],\n            [\n              -155.29329299926758,\n              19.39471557731923\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nadeau, Patricia A. 0000-0002-6732-3686","orcid":"https://orcid.org/0000-0002-6732-3686","contributorId":215616,"corporation":false,"usgs":true,"family":"Nadeau","given":"Patricia","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":800326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Angela K. 0000-0003-0214-7818","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":204743,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":800327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":800328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swanson, Donald A. 0000-0002-1680-3591","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":229682,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","affiliations":[],"preferred":true,"id":800329,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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