{"pageNumber":"51","pageRowStart":"1250","pageSize":"25","recordCount":10450,"records":[{"id":70224629,"text":"70224629 - 2021 - Natural history of a bighorn sheep pneumonia epizootic: Source of infection, course of disease, and pathogen clearance","interactions":[],"lastModifiedDate":"2021-11-16T15:49:41.376419","indexId":"70224629","displayToPublicDate":"2021-09-23T08:21:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Natural history of a bighorn sheep pneumonia epizootic: Source of infection, course of disease, and pathogen clearance","docAbstract":"<p><span>A respiratory disease epizootic at the National Bison Range (NBR) in Montana in 2016–2017 caused an 85% decline in the bighorn sheep population, documented by observations of its unmarked but individually identifiable members, the subjects of an ongoing long-term study. The index case was likely one of a small group of young bighorn sheep on a short-term exploratory foray in early summer of 2016. Disease subsequently spread through the population, with peak mortality in September and October and continuing signs of respiratory disease and sporadic mortality of all age classes through early July 2017. Body condition scores and clinical signs suggested that the disease affected ewe groups before rams, although by the end of the epizootic, ram mortality (90% of 71) exceeded ewe mortality (79% of 84). Microbiological sampling 10&nbsp;years to 3&nbsp;months prior to the epizootic had documented no evidence of infection or exposure to&nbsp;</span><i>Mycoplasma ovipneumoniae</i><span>&nbsp;at NBR, but during the epizootic, a single genetic strain of&nbsp;</span><i>M.&nbsp;ovipneumoniae</i><span>&nbsp;was detected in affected animals. Retrospective screening of domestic sheep flocks near the NBR identified the same genetic strain in one flock, presumptively the source of the epizootic infection. Evidence of fatal lamb pneumonia was observed during the first two lambing seasons following the epizootic but was absent during the third season following the death of the last identified&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;carrier ewe. Monitoring of life-history traits prior to the epizootic provided no evidence that environmentally and/or demographically induced nutritional or other stress contributed to the epizootic. Furthermore, the epizootic occurred despite proactive management actions undertaken to reduce risk of disease and increase resilience in this population. This closely observed bighorn sheep epizootic uniquely illustrates the natural history of the disease including the (presumptive) source of spillover, course, severity, and eventual pathogen clearance.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8166","usgsCitation":"Besser, T., Cassirer, E.F., Lisk, A., Nelson, D., Manlove, K.R., Cross, P., and Hogg, J.T., 2021, Natural history of a bighorn sheep pneumonia epizootic: Source of infection, course of disease, and pathogen clearance: Ecology and Evolution, v. 11, no. 21, p. 14366-14382, https://doi.org/10.1002/ece3.8166.","productDescription":"17 p.","startPage":"14366","endPage":"14382","ipdsId":"IP-126913","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":450711,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.8166","text":"Publisher Index Page"},{"id":390113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"National Bison Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.51873779296875,\n              47.148633511301426\n            ],\n            [\n              -113.93646240234375,\n              47.148633511301426\n            ],\n            [\n              -113.93646240234375,\n              47.57837853860192\n            ],\n            [\n              -114.51873779296875,\n              47.57837853860192\n            ],\n            [\n              -114.51873779296875,\n              47.148633511301426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"21","noUsgsAuthors":false,"publicationDate":"2021-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Besser, T. E.","contributorId":266154,"corporation":false,"usgs":false,"family":"Besser","given":"T. E.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":824438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cassirer, E. Frances","contributorId":198303,"corporation":false,"usgs":false,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":824439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lisk, Amy","contributorId":266155,"corporation":false,"usgs":false,"family":"Lisk","given":"Amy","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":824440,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Danielle","contributorId":266156,"corporation":false,"usgs":false,"family":"Nelson","given":"Danielle","email":"","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":824441,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manlove, Kezia R.","contributorId":198305,"corporation":false,"usgs":false,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":824442,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":824443,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hogg, John T.","contributorId":245903,"corporation":false,"usgs":false,"family":"Hogg","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":824444,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70224547,"text":"70224547 - 2021 - SiteOpt: An open-source R-package for site selection and portfolio optimization","interactions":[],"lastModifiedDate":"2021-11-16T15:45:42.56053","indexId":"70224547","displayToPublicDate":"2021-09-22T08:35:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"SiteOpt: An open-source R-package for site selection and portfolio optimization","docAbstract":"<p><span>Conservation planning involves identifying and selecting actions to best achieve objectives for managing natural, social and cultural resources. Conservation problems are often high dimensional when specified as combinatorial or portfolio problems and when multiple competing objectives are considered at varying spatial and temporal scales. Although analytical techniques such as modern portfolio theory (MPT) have been developed to address these complex problems, open source computational platforms for executing these approaches are not readily available. We present a user-friendly R-package called SiteOpt for optimization of binary decisions while explicitly considering environmental or economic uncertainty and the risk tolerance of decision makers. We illustrate the package with spatially-explicit site selection problems (i.e. spatial conservation planning), including an option for divestment (i.e. selling assets), when accounting for future uncertainties in designing conservation areas. The tool is applicable to both spatial and non-spatial problems, such as budget allocation or species selection. Constraints for spatial design and spatial dependencies (e.g. connectivity among sites) can also be specified in SiteOpt. Users can optimize site selection based on two competing objectives by solving for the Nash bargaining solution. Importantly, by quantifying uncertainty and asset spatial correlation, a measure of risk can be included as one such objective to be traded off against portfolio benefits. Thus, SiteOpt can be used to explicitly manage risk in portfolio-based spatial optimization. This tool facilitates decisions in a variety of problem settings, including reserve selection, invasive species management, allocation of law enforcement activities for conservation, budget allocation and asset selection under uncertainty and risk.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.05717","usgsCitation":"Saghand, P.G., Haider, Z., Charkhgard, H., Eaton, M.J., Martin, J., Yurek, S., and Udell, B.J., 2021, SiteOpt: An open-source R-package for site selection and portfolio optimization: Ecography, v. 44, no. 11, p. 1678-1685, https://doi.org/10.1111/ecog.05717.","productDescription":"8 p.","startPage":"1678","endPage":"1685","ipdsId":"IP-119211","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":450726,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.05717","text":"Publisher Index Page"},{"id":436191,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S4QV7T","text":"USGS data release","linkHelpText":"Data from SiteOpt: an Open-source R-package for Site Selection and Portfolio Optimization"},{"id":389806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Saghand, Payman G","contributorId":266005,"corporation":false,"usgs":false,"family":"Saghand","given":"Payman","email":"","middleInitial":"G","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":824023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haider, Zulqarnain","contributorId":216714,"corporation":false,"usgs":false,"family":"Haider","given":"Zulqarnain","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":824024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charkhgard, Hadi","contributorId":216710,"corporation":false,"usgs":false,"family":"Charkhgard","given":"Hadi","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":824025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":824026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":218445,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":824027,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216738,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":824028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Udell, Bradley J. 0000-0001-5225-4959","orcid":"https://orcid.org/0000-0001-5225-4959","contributorId":223440,"corporation":false,"usgs":false,"family":"Udell","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":40715,"text":"Wildlife Ecology and Conservation Department, University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":824029,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70224612,"text":"70224612 - 2021 - Revisiting the declustering of spatial data with preferential sampling","interactions":[],"lastModifiedDate":"2021-09-30T11:57:29.597973","indexId":"70224612","displayToPublicDate":"2021-09-22T06:56:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Revisiting the declustering of spatial data with preferential sampling","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Preferential sampling is a form of data collection that may significantly distort the histogram and the semivariogram of spatially<span>&nbsp;</span>correlated data<span>. Typical situations are a higher sampling density at high-valued areas favorable for mining, and highly contaminated areas in need of environmental remediation. Multiple statistical procedures are devoted to obtaining representative statistics, whose magnitudes should be close to the respective population values. This paper proposes a resampling method that can compensate for preferential sampling of spatially correlated data without using declustering weights. The application of the method herein generates a dataset of median estimates of&nbsp;quantiles&nbsp;of multiple stratified resamples that is free of preferential sampling. The methodology is illustrated with two examples. The first one involves values actually measured in the field and has the advantage of representing a real scenario of spatial fluctuations and preferential sampling. A second dataset is synthetic and has the main benefit of a&nbsp;priori knowledge&nbsp;of the underlying spatial distribution, thus allowing a satisfactory evaluation of the results against the known baseline. Access to computer code is offered for practical application of the method.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2021.104946","usgsCitation":"Olea, R., 2021, Revisiting the declustering of spatial data with preferential sampling: Computers & Geosciences, v. 157, 104946, 12 p., https://doi.org/10.1016/j.cageo.2021.104946.","productDescription":"104946, 12 p.","ipdsId":"IP-128810","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":390027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"157","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":224285,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824272,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70228647,"text":"70228647 - 2021 - Racial, ethnic, and social patterns in the recreation specialization of birdwatchers: An analysis of United States eBird registrants","interactions":[],"lastModifiedDate":"2022-02-17T11:48:12.942697","indexId":"70228647","displayToPublicDate":"2021-09-21T13:07:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5520,"text":"Journal of Outdoor Recreation and Tourism","active":true,"publicationSubtype":{"id":10}},"title":"Racial, ethnic, and social patterns in the recreation specialization of birdwatchers: An analysis of United States eBird registrants","docAbstract":"Although birdwatchers comprise a large and growing proportion of the American public, there is a lack of racial and ethnic diversity in the birdwatching community. Previous research suggests that this homogeneity is self-perpetuating, as ethno-racial minorities are less likely to pursue activities in which no one they know participates. However, it is unclear whether this trend in birdwatching participation also applies to degree of subsequent participant involvement. Using a national online survey of US birdwatchers, we measured the degree of recreation specialization among birdwatchers along affective, cognitive, and behavioral dimensions. We also determined whether respondents had social connections (acquaintances, close friends, or relatives) who birdwatch. We then used logistic regression to determine which ethno-racial groups were more likely to have birdwatcher social connections, and multiple linear regression to investigate how our measures of recreation specialization varied by ethno-racial group. As expected, the ethno-racial composition of the birdwatchers we studied was significantly less diverse than that of the American public. Of the 29,380 respondents who reported their ethno-racial group, 5.2% were Black, Indigenous, and/or people of color (including Native American, Black, Asian, Pacific Islander, Hispanic/Latino, or multiracial), while 94.8% were non-Hispanic White. However, we observed no statistically significant ethno-racial patterns in overall degree of recreation specialization, even when controlling for social connection and demographic characteristics. Considering the three dimensions of specialization individually, we found that some ethno-racial predictors were statistically significant, but coefficients were too small to be practically significant. We conclude that while some ethno-racial groups are underrepresented among birdwatchers, there is insufficient evidence that they are also under-specialized.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jort.2021.100400","usgsCitation":"Rutter, J.D., Dayer, A.A., Harshaw, H., Cole, N.W., Fulton, D.C., Duberstein, J.N., Raedeke, A.H., and Schuster, R., 2021, Racial, ethnic, and social patterns in the recreation specialization of birdwatchers: An analysis of United States eBird registrants: Journal of Outdoor Recreation and Tourism, v. 35, 100400, 12 p., https://doi.org/10.1016/j.jort.2021.100400.","productDescription":"100400, 12 p.","ipdsId":"IP-113515","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":450734,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/111950","text":"External Repository"},{"id":396028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rutter, Jonathan D.","contributorId":279388,"corporation":false,"usgs":false,"family":"Rutter","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":834919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dayer, Ashley A.","contributorId":279389,"corporation":false,"usgs":false,"family":"Dayer","given":"Ashley","email":"","middleInitial":"A.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":834920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harshaw, Howard W.","contributorId":279390,"corporation":false,"usgs":false,"family":"Harshaw","given":"Howard W.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":834921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cole, Nicholas W. 0000-0003-1204-971X","orcid":"https://orcid.org/0000-0003-1204-971X","contributorId":278636,"corporation":false,"usgs":true,"family":"Cole","given":"Nicholas","email":"","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":834922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834918,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duberstein, Jennifer N.","contributorId":279392,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jennifer","email":"","middleInitial":"N.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834923,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raedeke, Andrew H","contributorId":279395,"corporation":false,"usgs":false,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H","affiliations":[{"id":57252,"text":"Missouri Conservation","active":true,"usgs":false}],"preferred":false,"id":834924,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":834925,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70229187,"text":"70229187 - 2021 - Honey bee (Apis mellifera) colonies benefit from grassland/ pasture while bumble bee (Bombus impatiens) colonies in the same landscapes benefit from non-corn/soybean cropland","interactions":[],"lastModifiedDate":"2022-03-02T16:44:23.45246","indexId":"70229187","displayToPublicDate":"2021-09-20T10:30:41","publicationYear":"2021","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":"Honey bee (Apis mellifera) colonies benefit from grassland/ pasture while bumble bee (Bombus impatiens) colonies in the same landscapes benefit from non-corn/soybean cropland","docAbstract":"<p>Agriculturally important commercially managed pollinators including honey bees (<i>Apis mellifera</i><span>&nbsp;</span>L., 1758) and bumble bees (<i>Bombus impatiens</i><span>&nbsp;</span>Cresson, 1863) rely on the surrounding landscape to fulfill their dietary needs. A previous study in Europe demonstrated that managed honey bee foragers and unmanaged native bumble bee foragers are associated with different land uses. However, it is unclear how response to land use compares between managed honey bees and a managed native bumble bee species in the United States, where honey bees are an imported species. Furthermore, to our knowledge, no such direct comparisons of bee responses to land use have been made at the colony level. To better understand how two different social bees respond to variation in land use, we monitored the weights of<span>&nbsp;</span><i>A</i>.<span>&nbsp;</span><i>mellifera</i><span>&nbsp;</span>and<span>&nbsp;</span><i>B</i>.<span>&nbsp;</span><i>impatiens</i><span>&nbsp;</span>colonies placed in 12 apiaries across a range of land use in Michigan, United States in 2017.<span>&nbsp;</span><i>Bombus impatiens</i><span>&nbsp;</span>colonies gained more weight and produced more drones when surrounded by diverse agricultural land (i.e., non-corn/soybean cropland such as tree fruits and grapes), while honey bee colonies gained more weight when surrounded by more grassland/pasture land. These findings add to our understanding of how different bee species respond to agricultural landscapes, highlighting the need for further species-specific land use studies to inform tailored land management.</p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0257701","usgsCitation":"Quinlan, G., Milbrath, M., Otto, C., and Isaacs, R., 2021, Honey bee (Apis mellifera) colonies benefit from grassland/ pasture while bumble bee (Bombus impatiens) colonies in the same landscapes benefit from non-corn/soybean cropland: PLoS ONE, v. 16, no. 9, p. 1-12, https://doi.org/10.1371/journal.pone.0257701.","productDescription":"e0257701, 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-130366","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":450754,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0257701","text":"Publisher Index Page"},{"id":396654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.05639648437499,\n              41.705728515237524\n            ],\n            [\n              -84.00146484374999,\n              43.32517767999296\n            ],\n            [\n              -86.41845703124999,\n              43.27720532212024\n            ],\n            [\n              -86.253662109375,\n              43.004647127794435\n            ],\n            [\n              -86.2646484375,\n              42.67435857693381\n            ],\n            [\n              -86.319580078125,\n              42.45588764197166\n            ],\n            [\n              -86.517333984375,\n              42.17968819665961\n            ],\n            [\n              -86.671142578125,\n              41.95131994679697\n            ],\n            [\n              -86.934814453125,\n              41.763117447005875\n            ],\n            [\n              -84.825439453125,\n              41.77131167976407\n            ],\n            [\n              -84.825439453125,\n              41.705728515237524\n            ],\n            [\n              -84.05639648437499,\n              41.705728515237524\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-20","publicationStatus":"PW","contributors":{"editors":[{"text":"Dolezal, Adam","contributorId":210716,"corporation":false,"usgs":false,"family":"Dolezal","given":"Adam","email":"","affiliations":[{"id":38135,"text":"Illinois","active":true,"usgs":false}],"preferred":false,"id":836923,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Quinlan, Gabriela","contributorId":287574,"corporation":false,"usgs":false,"family":"Quinlan","given":"Gabriela","email":"","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milbrath, Megan","contributorId":287575,"corporation":false,"usgs":false,"family":"Milbrath","given":"Megan","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":836896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isaacs, Rufus","contributorId":287577,"corporation":false,"usgs":false,"family":"Isaacs","given":"Rufus","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":836898,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229695,"text":"70229695 - 2021 - Improving ESRI ArcGIS performance of coastal and seafloor analysis with the Python multiprocessing module","interactions":[],"lastModifiedDate":"2022-03-15T14:27:30.976578","indexId":"70229695","displayToPublicDate":"2021-09-20T09:25:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Improving ESRI ArcGIS performance of coastal and seafloor analysis with the Python multiprocessing module","docAbstract":"<p><span>Coastal research frequently involves the use of a GIS to analyze large areas for changes in response to major weather events, human action, and other factors. The GIS workflows used to conduct these analyses can be complex and sometimes require multiple days to complete. Long runtimes often exist even on modern high-powered workstations if the GIS software does not use parallel computing techniques, which prevents it from fully utilizing the capabilities of multicore processors. If a GIS application supports a programming interface that allows geoprocessing tools to be called from an external program, then GIS workflows can use parallel functionality embedded in that programming language to divide the load of a large workflow among multiple child processes. In ArcMap and ArcGIS Pro, this technique can be implemented by using the Python programming interface and the multiprocessing module in Python to run geoprocessing tools in child processes. This method was used in the Seafloor Elevation Change Analysis Tool (SECAT), a Python script written for ArcMap and ArcGIS Pro that calculates changes in seafloor elevation over time using two different digital elevation models. Running SECAT with between one and eight child processes on two different datasets improved execution times by at least a factor of 2.4. These results demonstrate that using the Python multiprocessing module can significantly accelerate a variety of time-consuming workflows.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-21-00026.1","usgsCitation":"Zieg, J.A., and Zawada, D., 2021, Improving ESRI ArcGIS performance of coastal and seafloor analysis with the Python multiprocessing module: Journal of Coastal Research, v. 37, no. 6, p. 1288-1293, https://doi.org/10.2112/JCOASTRES-D-21-00026.1.","productDescription":"6 p.","startPage":"1288","endPage":"1293","ipdsId":"IP-117051","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":397108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zieg, Jonathan Andrew 0000-0002-4590-9328","orcid":"https://orcid.org/0000-0002-4590-9328","contributorId":288476,"corporation":false,"usgs":true,"family":"Zieg","given":"Jonathan","email":"","middleInitial":"Andrew","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":837979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":837980,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70225531,"text":"70225531 - 2021 - Stratigraphic and structural controls on groundwater salinity variations in the Poso Creek Oil Field, Kern County, California, USA","interactions":[],"lastModifiedDate":"2021-12-10T17:01:34.289166","indexId":"70225531","displayToPublicDate":"2021-09-18T08:12:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphic and structural controls on groundwater salinity variations in the Poso Creek Oil Field, Kern County, California, USA","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Groundwater total dissolved solids (TDS) distribution was mapped with a three-dimensional (3D) model, and it was found that TDS variability is largely controlled by stratigraphy and geologic structure. General TDS patterns in the San Joaquin Valley of California (USA) are attributed to predominantly connate water composition and large-scale recharge from the adjacent Sierra Nevada. However, in smaller areas, stratigraphy and faulting play an important role in controlling TDS. Here, the relationship of stratigraphy and structure to TDS concentration was examined at Poso Creek Oil Field, Kern County, California. The TDS model was constructed using produced water TDS samples and borehole geophysics. The model was used to predict TDS concentration at discrete locations in 3D space and used a Gaussian process to interpolate TDS over a volume. In the overlying aquifer, TDS is typically &lt;1,000&nbsp;mg/L and increases with depth to ~1,200–3,500&nbsp;mg/L in the hydrocarbon zone below the Macoma claystone—a regionally extensive, fine-grained unit—and reaches ~7,000&nbsp;mg/L in isolated places. The Macoma claystone creates a vertical TDS gradient in the west where it is thickest, but control decreases to the east where it pinches out and allows freshwater recharge. Previously mapped normal faults were found to exhibit inconsistent control on TDS. In one case, high-density faulting appears to prevent recharge from flushing higher-TDS connate water. Elsewhere, the high-throw segments of a normal fault exhibit variable behavior, in places blocking lower-TDS recharge and in other cases allowing flushing. Importantly, faults apparently have differential control on oil and groundwater.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10040-021-02381-5","usgsCitation":"Stephens, M.J., Shimabukuro, D.H., Chang, W., Gillespie, J.M., and Levinson, Z., 2021, Stratigraphic and structural controls on groundwater salinity variations in the Poso Creek Oil Field, Kern County, California, USA: Hydrogeology Journal, v. 29, p. 2803-2820, https://doi.org/10.1007/s10040-021-02381-5.","productDescription":"18 p.","startPage":"2803","endPage":"2820","ipdsId":"IP-113290","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":450766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-021-02381-5","text":"Publisher Index Page"},{"id":390661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Kern County","otherGeospatial":"Poso Creek Oil Field","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-120.1945,35.788],[-120.1842,35.789],[-120.1655,35.7891],[-120.1474,35.7887],[-120.0816,35.7886],[-119.9688,35.7896],[-119.852,35.7891],[-119.7618,35.7906],[-119.6472,35.7895],[-119.5395,35.79],[-119.4301,35.7905],[-119.3308,35.7899],[-119.2169,35.7906],[-119.1182,35.7903],[-118.9027,35.789],[-118.6504,35.7897],[-118.6441,35.7896],[-118.5885,35.7897],[-118.5233,35.7892],[-118.4785,35.7915],[-118.4706,35.7919],[-118.4502,35.7908],[-118.2716,35.7896],[-118.2562,35.7894],[-118.2387,35.7897],[-118.2137,35.7894],[-118.1956,35.7896],[-118.1632,35.7893],[-118.0839,35.7865],[-118.0697,35.7859],[-118.009,35.7861],[-117.9234,35.7863],[-117.9249,35.7986],[-117.9005,35.7983],[-117.8738,35.7988],[-117.8523,35.7985],[-117.6362,35.7958],[-117.6355,35.7086],[-117.6537,35.7085],[-117.6527,35.6776],[-117.6176,35.6775],[-117.6166,35.6493],[-117.6353,35.6487],[-117.6354,35.6233],[-117.6352,35.5807],[-117.6356,35.5666],[-117.6351,35.5639],[-117.6346,35.4472],[-117.6352,35.3755],[-117.6353,35.3464],[-117.6351,35.3319],[-117.6343,35.3174],[-117.6341,35.3028],[-117.6345,35.2874],[-117.6343,35.2742],[-117.6341,35.2588],[-117.6339,35.2447],[-117.6342,35.2302],[-117.634,35.2157],[-117.6338,35.2011],[-117.6336,35.1861],[-117.6334,35.1707],[-117.6338,35.1562],[-117.6336,35.1417],[-117.6333,35.1271],[-117.6331,35.1126],[-117.6329,35.098],[-117.6352,35.0981],[-117.636,35.0872],[-117.6358,35.0727],[-117.6356,35.0581],[-117.6357,35.0295],[-117.6361,35.015],[-117.6357,34.985],[-117.6351,34.8233],[-117.6519,34.8227],[-117.6704,34.8221],[-117.7757,34.8229],[-118.1408,34.8195],[-118.1493,34.8195],[-118.5995,34.8175],[-118.8946,34.8181],[-118.8945,34.818],[-118.8825,34.791],[-118.9772,34.7902],[-118.9771,34.8126],[-119.2462,34.8147],[-119.2461,34.857],[-119.2797,34.858],[-119.2779,34.8793],[-119.3844,34.8794],[-119.385,34.884],[-119.3849,34.899],[-119.4382,34.8999],[-119.4438,34.8999],[-119.4544,34.8999],[-119.4571,34.9],[-119.4746,34.9004],[-119.4746,34.9005],[-119.4746,34.9136],[-119.474,34.9367],[-119.474,34.9499],[-119.474,34.9576],[-119.474,34.9721],[-119.4746,35.0184],[-119.4746,35.0325],[-119.4745,35.077],[-119.4908,35.077],[-119.4914,35.092],[-119.5004,35.0915],[-119.5088,35.0906],[-119.5628,35.0883],[-119.5583,35.1369],[-119.5566,35.1601],[-119.5549,35.1791],[-119.5769,35.1787],[-119.6095,35.1773],[-119.6675,35.1749],[-119.6675,35.1908],[-119.6675,35.2049],[-119.6688,35.2617],[-119.7397,35.2629],[-119.7572,35.2633],[-119.7746,35.2633],[-119.8113,35.2641],[-119.8122,35.3508],[-119.8815,35.3501],[-119.8824,35.41],[-119.8824,35.4246],[-119.8831,35.4377],[-119.9999,35.4396],[-120.0007,35.4695],[-120.0171,35.469],[-120.0194,35.4835],[-120.0358,35.4834],[-120.0359,35.497],[-120.0523,35.4974],[-120.053,35.5124],[-120.0699,35.5128],[-120.0711,35.5268],[-120.0875,35.5276],[-120.0876,35.6139],[-120.1951,35.6151],[-120.1947,35.7481],[-120.1942,35.7626],[-120.1945,35.788]]]},\"properties\":{\"name\":\"Kern\",\"state\":\"CA\"}}]}","volume":"29","noUsgsAuthors":false,"publicationDate":"2021-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":825460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":825461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chang, Will","contributorId":267870,"corporation":false,"usgs":false,"family":"Chang","given":"Will","affiliations":[],"preferred":false,"id":825462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":219675,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice","email":"","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":825463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Levinson, Zack","contributorId":267875,"corporation":false,"usgs":false,"family":"Levinson","given":"Zack","email":"","affiliations":[],"preferred":false,"id":825464,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224630,"text":"70224630 - 2021 - Engaging with stakeholders to produce actionable science: A framework and guidance","interactions":[],"lastModifiedDate":"2021-11-01T16:03:52.700493","indexId":"70224630","displayToPublicDate":"2021-09-17T08:16:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9363,"text":"Weather Climate and Society","active":true,"publicationSubtype":{"id":10}},"title":"Engaging with stakeholders to produce actionable science: A framework and guidance","docAbstract":"<div class=\"component component-content-item component-content-summary abstract_or_excerpt\"><div class=\"content-box box border-bottom border-bottom-inherit border-bottom-inherit no-padding no-header vertical-margin-bottom null\"><div class=\"content-box-body null\"><p>Natural and cultural resource managers are increasingly working with the scientific community to create information on how best to adapt to the current and projected impacts of climate change. Engaging with these managers is a strategy that researchers can use to ensure that scientific outputs and findings are actionable (or useful and usable). In this article, the authors adapt Davidson’s wheel of participation to characterize and describe common stakeholder engagement strategies across the spectrum of Inform, Consult, Participate, and Empower. This adapted framework provides researchers with a standardized vocabulary for describing their engagement approach, guidance on how to select an approach, methods for implementing engagement, and potential barriers to overcome. While there is often no one “best” approach to engaging with stakeholders, researchers can use the objectives of their project and the decision context in which their stakeholders operate to guide their selection. Researchers can also revisit this framework over time as their project objectives shift and their stakeholder relationships evolve.</p></div></div></div>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/WCAS-D-21-0046.1","usgsCitation":"Bamzai-Dodson, A., Cravens, A.E., Wade, A., and McPherson, R.A., 2021, Engaging with stakeholders to produce actionable science: A framework and guidance: Weather Climate and Society, v. 13, no. 4, p. 1027-1041, https://doi.org/10.1175/WCAS-D-21-0046.1.","productDescription":"15 p.","startPage":"1027","endPage":"1041","ipdsId":"IP-127628","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":390111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bamzai-Dodson, Aparna 0000-0002-2444-9051","orcid":"https://orcid.org/0000-0002-2444-9051","contributorId":247300,"corporation":false,"usgs":true,"family":"Bamzai-Dodson","given":"Aparna","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":824445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":824446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wade, Alisa 0000-0003-3976-2224","orcid":"https://orcid.org/0000-0003-3976-2224","contributorId":266157,"corporation":false,"usgs":true,"family":"Wade","given":"Alisa","email":"","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":824447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McPherson, Renee A. 0000-0002-1497-9681","orcid":"https://orcid.org/0000-0002-1497-9681","contributorId":266158,"corporation":false,"usgs":false,"family":"McPherson","given":"Renee","email":"","middleInitial":"A.","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":824448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70240159,"text":"70240159 - 2021 - Waterborne gradient Self-Potential (WaSP) logging in the Rio Grande to map localized and regional surface and groundwater exchanges across the Mesilla Valley","interactions":[],"lastModifiedDate":"2023-01-31T15:30:33.818125","indexId":"70240159","displayToPublicDate":"2021-09-16T09:24:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7446,"text":"FastTIMES","active":true,"publicationSubtype":{"id":10}},"title":"Waterborne gradient Self-Potential (WaSP) logging in the Rio Grande to map localized and regional surface and groundwater exchanges across the Mesilla Valley","docAbstract":"<p><span>The Rio Grande is the primary source of recharge to the Mesilla Basin/Conejos-Médanos aquifer system (“Mesilla Basin aquifer system”) in the Mesilla Valley of New Mexico and Texas. The Mesilla Basin aquifer system is the primary source of water supply to several large cities along the United States–Mexico border. Identifying gaining and losing reaches of the Rio Grande in the Mesilla Valley is therefore critical for managing the quality and quantity of surface and groundwater-resources available to stakeholders in the Mesilla Valley and downstream. A Waterborne gradient</span><strong><span>&nbsp;</span></strong><span>Self-Potential (WaSP) logging survey was completed in the Rio Grande across the Mesilla Valley between June 26 and July 2, 2020 to identify reaches where surface-water gains and losses were occurring by interpreting an estimate of the streaming-potential component of the electrostatic field in the river, measured during bank-full flow. The WaSP survey, completed as part of the Transboundary Aquifer Assessment Program, began at Leasburg Dam State Park, New Mexico near the northern terminus of the Mesilla Valley and ended ~72 kilometers (km) downstream in Canutillo, Texas. Electric potential data indicated a net losing condition for ~32 km between Leasburg Dam and Mesilla Diversion Dam in New Mexico, with one 200-m long reach showing a localized gaining condition. Downstream from Mesilla Diversion Dam, electric-potential data indicated a neutral-to-mild gaining condition for 12-km that transitioned to a mild-to-moderate gaining condition between 12 and ~22 km from the dam before transitioning back to a losing condition along the remaining 18 km of the survey reach. The interpreted gaining and losing reaches are substantiated by potentiometric surface mapping in hydrostratigraphic units of the Mesilla Basin aquifer system between 2010 and 2011 and streamflow gains and losses quantified from annual streamflow gaging at 16 stations along the survey reach between 1988 and 1998 and between 2004 and 2013. The gaining and losing reaches of the Rio Grande in the Mesilla Valley, interpreted from electric potential data, compare notably well with streamflow gains and losses quantified at 16 locations along the 72-km long survey reach.</span></p>","language":"English","publisher":"Environmental and Engineering Geophysical Society","usgsCitation":"Ikard, S., and Teeple, A., 2021, Waterborne gradient Self-Potential (WaSP) logging in the Rio Grande to map localized and regional surface and groundwater exchanges across the Mesilla Valley: FastTIMES, v. 26, no. 3, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-132631","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":412505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":412478,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fasttimesonline.co/waterborne-gradient-self-potential-wasp-logging-in-the-rio-grande-to-map-localized-and-regional-surface-and-groundwater-exchanges-across-the-mesilla-valley/"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Mesilla Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.44524373222445,\n              31.760633532310962\n            ],\n            [\n              -106.6117012652096,\n              32.435777766328556\n            ],\n            [\n              -106.97488133717744,\n              32.96635814299131\n            ],\n            [\n              -107.04549968450479,\n              33.44327742390567\n            ],\n            [\n              -107.58018145712424,\n              33.388542989837234\n            ],\n            [\n              -107.50956310979689,\n              32.79267559856237\n            ],\n            [\n              -107.07576469050201,\n              32.350592719244176\n            ],\n            [\n              -106.67223127720436,\n              31.854939592806915\n            ],\n            [\n              -106.4502878998906,\n              31.709153308763334\n            ],\n            [\n              -106.44524373222445,\n              31.760633532310962\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":201775,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew 0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":193061,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862806,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70232160,"text":"70232160 - 2021 - Fish response to successive clearcuts in a second-growth forest from the central Coast range of Oregon","interactions":[],"lastModifiedDate":"2022-06-09T13:42:26.457253","indexId":"70232160","displayToPublicDate":"2021-09-15T08:25:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Fish response to successive clearcuts in a second-growth forest from the central Coast range of Oregon","docAbstract":"<p>Research dating back to the 1950&nbsp;s has documented negative effects from harvesting of primeval forests on stream ecosystems of the Pacific Northwest. By the early 1990&nbsp;s, state and federal forest practice rules governing timber harvest were modified throughout North America to better protect&nbsp;aquatic habitats&nbsp;and biotic resources, principally salmonids. These rules inspired a generation of studies using a before-after-control-impact (BACI) design to document the capacity of contemporary timber harvest rules to protect salmonids in&nbsp;headwater&nbsp;streams of second-growth forests. One important unanswered question concerns the potential effects of successive clearcuts in second growth forests. Consequently, we used a paired&nbsp;watershed&nbsp;approach to evaluate the effects of two successive clearcut harvests in the Alsea Watershed, site of the seminal Alsea Watershed Study that was conducted from 1958 to 1973, on relative biomass, movement, survival, and distribution of coastal&nbsp;cutthroat trout&nbsp;(<i>Oncorhynchus clarkii clarkii</i>) and three physical habitat characteristics (pool area and depth, and water temperature). Although the total clearcut harvest encompassed 87% of the treatment catchment in six years, no negative effects of logging were detected for either age-1&nbsp;+&nbsp;coastal cutthroat trout or habitat variables. Comparisons between the harvested and reference catchments suggested the survival of coastal cutthroat trout (&gt;94&nbsp;mm fork length) and total catchment relative biomass of age-1+ (i.e., &gt; 80&nbsp;mm) exhibited similar patterns, increasing from the pre-logging period (2006–2009) through the Phase I post-logging period (2009–2014), and decreasing to levels observed in the pre-logging period during the Phase II post-logging period (2014–2017). Additionally, there was no evidence for differences in movement of coastal cutthroat trout related to the harvesting treatment. In terms of habitat variables, there was a relative increase in annual total pool area in the harvested catchment during the Phase II post-logging period, but there was no evidence the 7-day moving mean maximum stream temperature changed after the Phase I and Phase II harvests. Moreover, stream water temperatures never exceeded the criterion designed to protect core coldwater habitat for salmonids (16&nbsp;°C). As such, it is unlikely that cutthroat trout experienced thermal stress following either harvest. More generally, results from this and other recent studies suggest that forest practice rules developed in conjunction with current best management practices for logging in headwater catchments have substantially improved outcomes for stream biota relative to unregulated forest harvest, at least for short periods of time after logging (i.e., ≤ 8&nbsp;years).</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2021.119447","usgsCitation":"Bateman, D.S., Chelgren, N., Gresswell, R.E., Dunham, J.B., Hockman-Wert, D., Leer, D.W., and Bladon, K., 2021, Fish response to successive clearcuts in a second-growth forest from the central Coast range of Oregon: Forest Ecology and Management, v. 496, 119447, 15 p., https://doi.org/10.1016/j.foreco.2021.119447.","productDescription":"119447, 15 p.","ipdsId":"IP-130611","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":450813,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2021.119447","text":"Publisher Index Page"},{"id":401979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Alsea River Watershed, Drift Creek, Flynn Creek, Needle Branch","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.0143585205078,\n              44.38865427337759\n            ],\n            [\n              -123.79737854003905,\n              44.38865427337759\n            ],\n            [\n              -123.79737854003905,\n              44.524416083679924\n            ],\n            [\n              -124.0143585205078,\n              44.524416083679924\n            ],\n            [\n              -124.0143585205078,\n              44.38865427337759\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"496","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bateman, D. S.","contributorId":292361,"corporation":false,"usgs":false,"family":"Bateman","given":"D.","email":"","middleInitial":"S.","affiliations":[{"id":62882,"text":"Department of Forest Engineering, Resources, and Management, College of Forestry, Oregon State University, Corvallis, OR","active":true,"usgs":false}],"preferred":false,"id":844391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chelgren, Nathan 0000-0003-0944-9165 nchelgren@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-9165","contributorId":3134,"corporation":false,"usgs":true,"family":"Chelgren","given":"Nathan","email":"nchelgren@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":844392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":152031,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":844394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hockman-Wert, David 0000-0003-2436-6237 dhockman-wert@usgs.gov","orcid":"https://orcid.org/0000-0003-2436-6237","contributorId":3891,"corporation":false,"usgs":true,"family":"Hockman-Wert","given":"David","email":"dhockman-wert@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844395,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leer, D. W.","contributorId":292363,"corporation":false,"usgs":false,"family":"Leer","given":"D.","email":"","middleInitial":"W.","affiliations":[{"id":62882,"text":"Department of Forest Engineering, Resources, and Management, College of Forestry, Oregon State University, Corvallis, OR","active":true,"usgs":false}],"preferred":false,"id":844396,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bladon, K. D.","contributorId":292364,"corporation":false,"usgs":false,"family":"Bladon","given":"K. D.","affiliations":[{"id":62882,"text":"Department of Forest Engineering, Resources, and Management, College of Forestry, Oregon State University, Corvallis, OR","active":true,"usgs":false}],"preferred":false,"id":844397,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70232168,"text":"70232168 - 2021 - Early growth and ecophysiological responses of Koa (Acacia koa A. Gray) seedlings to reduced water and phosphorus","interactions":[],"lastModifiedDate":"2022-06-09T13:18:41.942854","indexId":"70232168","displayToPublicDate":"2021-09-14T08:13:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5909,"text":"New Forests","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Early growth and ecophysiological responses of Koa (<i>Acacia koa</i> A. Gray) seedlings to reduced water and phosphorus","title":"Early growth and ecophysiological responses of Koa (Acacia koa A. Gray) seedlings to reduced water and phosphorus","docAbstract":"<p>Sites in need of restoration typically have one or more environmental factors that limit seedling establishment. Identifying ecophysiological responses to environmental stressors can provide important insights into mitigating measures that would allow seedlings to overcome such constraints to survival. Koa (<i>Acacia koa</i>&nbsp;A. Gray) is a nitrogen-fixing tree species endemic to Hawaiʻi that is highly valued in restoring degraded forest ecosystems, which are often limited in available water and phosphorus. This study examined how koa seedlings respond to conditions of reduced water (65&nbsp;W) and no phosphorus (0P). After 17&nbsp;weeks, seedlings subjected to 65&nbsp;W or 0P accumulated less biomass, smaller root-collar diameters, and lower nitrogen and phosphorus contents. Combined reductions in water and P resulted in seedlings with increased root to shoot dry biomass and shorter shoots. Seedlings subjected to 65&nbsp;W also had lower instantaneous rates of CO<sub>2</sub>&nbsp;assimilation, but higher instantaneous water-use efficiencies following irrigation, suggesting that koa responds to water deficits by decreasing water loss via reduced stomatal conductance. Seedlings subjected to 0P had similar rates of CO<sub>2</sub>&nbsp;assimilation relative to those grown with adequate P, suggesting that koa is able to employ strategies to avoid physiological impairment from conditions of inadequate P. Future research should assess whether subjecting koa seedlings to reduced water before planting on water-limited sites cues increased drought resistance and whether uptake and storage of P by seedlings in the nursery better supports growth following outplanting, particularly on sites with anticipated low plant-available water.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11056-021-09877-8","usgsCitation":"Gerber, K., Ross-Davis, A., Perakis, S.S., and Davis, A.S., 2021, Early growth and ecophysiological responses of Koa (Acacia koa A. 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 \"}}]}","volume":"2021","noUsgsAuthors":false,"publicationDate":"2021-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Gerber, Kaitlin","contributorId":292369,"corporation":false,"usgs":false,"family":"Gerber","given":"Kaitlin","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":844416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross-Davis, Amy","contributorId":292370,"corporation":false,"usgs":false,"family":"Ross-Davis","given":"Amy","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":844417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":844418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Anthony S.","contributorId":292372,"corporation":false,"usgs":false,"family":"Davis","given":"Anthony","email":"","middleInitial":"S.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":844419,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70248974,"text":"70248974 - 2021 - Synchronous emplacement of the anorthosite xenolith-bearing Beaver River diabase and one of the largest lava flows on Earth","interactions":[],"lastModifiedDate":"2023-09-27T11:59:24.552923","indexId":"70248974","displayToPublicDate":"2021-09-13T06:52:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Synchronous emplacement of the anorthosite xenolith-bearing Beaver River diabase and one of the largest lava flows on Earth","docAbstract":"<div class=\"article-section__content en main\"><p>New geochronologic and paleomagnetic data from the North American Midcontinent Rift (MCR) reveal the synchronous emplacement of the Beaver River diabase, the anorthosite xenoliths within it, and the Greenstone Flow—one of the largest lava flows on Earth. A U-Pb zircon date of 1091.83&nbsp;<img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/835cc8ce-e5a1-4954-a6d6-c7b578c5e17c/ggge22632-math-0001.png\" alt=\"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0001\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/835cc8ce-e5a1-4954-a6d6-c7b578c5e17c/ggge22632-math-0001.png\">&nbsp;0.21&nbsp;Ma (2<img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/bb4c3fab-e424-4fdd-bd15-29863639a746/ggge22632-math-0002.png\" alt=\"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0002\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/bb4c3fab-e424-4fdd-bd15-29863639a746/ggge22632-math-0002.png\">) from one of the anorthosite xenoliths is consistent with the anorthosite cumulate forming as part of the MCR and provides a maximum age constraint for the Beaver River diabase. Paired with the minimum age constraint of a cross-cutting Silver Bay intrusion (1091.61&nbsp;<img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/b05c5aa4-956f-453e-ba10-381b109e0133/ggge22632-math-0003.png\" alt=\"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0003\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/b05c5aa4-956f-453e-ba10-381b109e0133/ggge22632-math-0003.png\">&nbsp;0.14&nbsp;Ma; 2<img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/74d8c674-e7c9-491f-8561-e29a40e5ad6a/ggge22632-math-0004.png\" alt=\"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0004\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/74d8c674-e7c9-491f-8561-e29a40e5ad6a/ggge22632-math-0004.png\">), these data tightly bracket the age of the Beaver River diabase to be 1091.7&nbsp;<img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/bfd7167e-2210-44f4-b9da-85fc7b8ffc11/ggge22632-math-0005.png\" alt=\"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0005\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/bfd7167e-2210-44f4-b9da-85fc7b8ffc11/ggge22632-math-0005.png\">&nbsp;0.2&nbsp;Ma (95% CI), coeval with the eruption of the Greenstone Flow (1091.59&nbsp;<img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/58c6a54a-166d-44a3-bb92-1018e100d9ea/ggge22632-math-0006.png\" alt=\"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0006\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/58c6a54a-166d-44a3-bb92-1018e100d9ea/ggge22632-math-0006.png\">&nbsp;0.27&nbsp;Ma; 2<img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/d7ad8f69-09ad-43e2-8ce2-a25ebfb23bfc/ggge22632-math-0007.png\" alt=\"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0007\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/d7ad8f69-09ad-43e2-8ce2-a25ebfb23bfc/ggge22632-math-0007.png\">)—which is further supported by indistinguishable tilt-corrected paleomagnetic pole positions. Geochronological, paleomagnetic, mineralogical and geochemical data are consistent with a hypothesis that the Beaver River diabase was the feeder system for the Greenstone Flow. The large areal extent of the intrusives and large estimated volume of the volcanics suggest that they represent a rapid and voluminous ca. 1,092&nbsp;Ma magmatic pulse near the end of the main stage of MCR magmatism.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GC009909","usgsCitation":"Zhang, Y., Swanson-Hysell, N.L., Schmitz, M.D., Miller, J.D., and Avery, M.S., 2021, Synchronous emplacement of the anorthosite xenolith-bearing Beaver River diabase and one of the largest lava flows on Earth: Geochemistry, Geophysics, Geosystems, v. 22, no. 10, e2021GC009909, 22 p., https://doi.org/10.1029/2021GC009909.","productDescription":"e2021GC009909, 22 p.","ipdsId":"IP-129694","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":450832,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021gc009909","text":"External Repository"},{"id":421243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.90577234555566,\n              48.06224901293339\n            ],\n            [\n              -91.07032312680569,\n              48.01817567781583\n            ],\n            [\n              -92.30079187680585,\n              47.41949253986752\n            ],\n            [\n              -92.67432703305536,\n              46.934088430510485\n            ],\n            [\n              -92.42164148618046,\n              46.678416429667834\n            ],\n            [\n              -91.79542078305555,\n              46.663339052891985\n            ],\n            [\n              -90.2282388480374,\n              46.33984071282008\n            ],\n            [\n              -88.52149500180556,\n              46.94909012060117\n            ],\n            [\n              -87.75584248312727,\n              47.553729299542994\n            ],\n            [\n              -87.46099845631785,\n              48.31365303404988\n            ],\n            [\n              -87.78288626075643,\n              48.818624883339\n            ],\n            [\n              -88.2158152170627,\n              48.78531971959853\n            ],\n            [\n              -88.98592529428336,\n              48.68686039499511\n            ],\n            [\n              -89.36852550678222,\n              48.46528639990822\n            ],\n            [\n              -89.90577234555566,\n              48.06224901293339\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"22","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Yiming 0000-0002-1407-302X","orcid":"https://orcid.org/0000-0002-1407-302X","contributorId":330186,"corporation":false,"usgs":false,"family":"Zhang","given":"Yiming","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":884401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson-Hysell, Nicholas L. 0000-0003-3215-4648","orcid":"https://orcid.org/0000-0003-3215-4648","contributorId":330223,"corporation":false,"usgs":false,"family":"Swanson-Hysell","given":"Nicholas","email":"","middleInitial":"L.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":884402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmitz, Mark D.","contributorId":292886,"corporation":false,"usgs":false,"family":"Schmitz","given":"Mark","email":"","middleInitial":"D.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":884403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, James D.","contributorId":330239,"corporation":false,"usgs":false,"family":"Miller","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":55466,"text":"University of Minnesota, Duluth","active":true,"usgs":false}],"preferred":false,"id":884404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Avery, Margaret Susan 0000-0002-8504-7072","orcid":"https://orcid.org/0000-0002-8504-7072","contributorId":329991,"corporation":false,"usgs":true,"family":"Avery","given":"Margaret","email":"","middleInitial":"Susan","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":884405,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228957,"text":"70228957 - 2021 - Impacts of neonicotinoid seed treatments on the wild bee community in agricultural field margins","interactions":[],"lastModifiedDate":"2022-02-25T16:49:03.561846","indexId":"70228957","displayToPublicDate":"2021-09-10T10:32:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of neonicotinoid seed treatments on the wild bee community in agricultural field margins","docAbstract":"<p id=\"sp0035\"><span>Wild bees support global agroecosystems via&nbsp;pollination&nbsp;of agricultural crops and maintaining diverse plant communities. However, with an increased reliance on pesticides to enhance crop production, wild bee communities may inadvertently be affected through exposure to chemical residues. Laboratory and semi-field studies have demonstrated lethal and&nbsp;sublethal effects&nbsp;of neonicotinoids on limited genera (e.g.,&nbsp;</span><i>Apis</i>,<span>&nbsp;</span><i>Bombus</i>,<span>&nbsp;</span><i>Megachile</i>), yet full field studies evaluating impacts to wild bee communities remain limited. Here, we conducted a two-year field study to assess whether neonicotinoid seed treatment and presence in environmental media (e.g., soil, flowers) influenced bee nest and diet guild abundance and richness. In 2017 and 2018, we planted 23 Missouri agricultural fields to soybeans (<i>Glycine</i><span>&nbsp;</span>max) using one of three seed treatments: untreated (no insecticide), treated (imidacloprid), or previously-treated (untreated, but neonicotinoid use prior to 2017). During both years, wild bees were collected in study field margins monthly (May to September) in tandem with soil and flowers from fields and field margins that were analyzed for neonicotinoid residues. Insecticide presence in soils and flowers varied over the study with neonicotinoids infrequently detected in both years within margin flowers (0%), soybean flowers (&lt;1%), margin soils (&lt;8%), and field soils (~39%). Wild bee abundance and species richness were not significantly different among field treatments. In contrast, neonicotinoid presence in field soils was associated with significantly lower richness (ground- and aboveground-nesting, diet generalists) of wild bee guilds. Our findings support that soil remains an underexplored route of exposure and long-term persistence of neonicotinoids in field soils may lead to reduced diversity in regional bee communities. Future reduction or elimination of neonicotinoid seed treatment use on areas managed for wildlife may facilitate conservation goals to sustain viable, diverse wild bee populations.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.147299","usgsCitation":"Main, A., Webb, E.B., Goyne, K.W., Abney, R., and Mengel, D.C., 2021, Impacts of neonicotinoid seed treatments on the wild bee community in agricultural field margins: Science of the Total Environment, v. 786, p. 1-9, https://doi.org/10.1016/j.scitotenv.2021.147299.","productDescription":"147299, 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-119464","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":450843,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.147299","text":"Publisher Index Page"},{"id":396496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Central Claypan, Iowa and Missouri Heavy Till Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.77880859375,\n              40.5930995321649\n            ],\n            [\n              -95.7843017578125,\n              40.526326510744006\n            ],\n            [\n              -95.6524658203125,\n              40.34654412118006\n            ],\n            [\n              -95.67993164062499,\n              40.3130432088809\n            ],\n            [\n              -95.4327392578125,\n              40.12009038025332\n            ],\n            [\n              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R.","contributorId":225528,"corporation":false,"usgs":false,"family":"Main","given":"Anson R.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":836026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goyne, Keith W.","contributorId":204931,"corporation":false,"usgs":false,"family":"Goyne","given":"Keith","email":"","middleInitial":"W.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":836028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abney, Robert","contributorId":280103,"corporation":false,"usgs":false,"family":"Abney","given":"Robert","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":836029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mengel, Doreen C.","contributorId":203619,"corporation":false,"usgs":false,"family":"Mengel","given":"Doreen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":836030,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70259936,"text":"70259936 - 2021 - A petrological and conceptual model of Mayon volcano (Philippines) as an example of an open-vent volcano","interactions":[],"lastModifiedDate":"2024-10-30T22:43:56.097024","indexId":"70259936","displayToPublicDate":"2021-09-10T06:54:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"A petrological and conceptual model of Mayon volcano (Philippines) as an example of an open-vent volcano","docAbstract":"<p>Mayon is a basaltic andesitic, open-vent volcano characterized by persistent passive degassing from the summit at 2463&nbsp;m above sea level. Mid-size (&lt;0.1 km3) and mildly explosive eruptions and occasional phreatic eruptions have occurred approximately every 10&nbsp;years for over a hundred years. Mayon’s plumbing system structure, processes, and time scales driving its eruptions are still not well-known, despite being the most active volcano in the Philippines. We investigated the petrology and geochemistry of its crystal-rich lavas (~50 vol% phenocrysts) from nine historical eruptions between 1928 and 2009 and propose a conceptual model of the processes and magmatic architecture that led to the eruptions. The whole-rock geochemistry and mineral assemblage (plagioclase + orthopyroxene + clinopyroxene + Fe-Ti oxide ± olivine) of the lavas have remained remarkably homogenous (54 wt% SiO2,~4 wt% MgO) from 1928 to 2009. However, electron microscope images and microprobe analyses of the phenocrysts and the existence of three types of glomerocrysts testify to a range of magmatic processes, including long-term magma residence, magma mixing, crystallization, volatile fluxing, and degassing. Multiple mineral-melt geothermobarometers suggest a relatively thermally buffered system at 1050±25&nbsp;°C, with several magma residence zones, ranging from close to the surface, through reservoirs at ~4–5&nbsp;km, and as deep as ~ 20&nbsp;km. Diffusion chronometry on &gt;200 orthopyroxene crystals reveal magma mixing timescales that range from a few days to about 65&nbsp;years, but the majority are shorter than the decadal inter-eruptive repose period. This implies that magma intrusion at Mayon has been nearly continuous over the studied time period, with limited crystal recycling from one eruption to the next. The variety of plagioclase textures and zoning patterns reflect fluxing of volatiles from depth to shallower melts through which they eventually reach the atmosphere through an open conduit. The crystal-rich nature of the erupted magmas may have developed during each inter-eruptive period. We propose that Mayon has behaved over almost 100&nbsp;years as a steady state system, with limited variations in eruption frequency, degassing flux, magma composition, and crystal content that are mainly determined by the amount and composition of deep magma and volatile input in the system. We explore how Mayon volcano’s processes and working model can be related to other open-vent mafic and water-rich systems such as Etna, Stromboli, Villarrica, or Llaima. Finally, our understanding of open-vent, persistently active volcanoes is rooted in historical observations, but volcano behavior can evolve over longer time frames. We speculate that these volcanoes produce specific plagioclase textures that can be used to identify similar volcanic behavior in the geologic record.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-021-01486-9","usgsCitation":"Ruth, D.C., and Costa, F., 2021, A petrological and conceptual model of Mayon volcano (Philippines) as an example of an open-vent volcano: Bulletin of Volcanology, v. 83, 62, 28 p., https://doi.org/10.1007/s00445-021-01486-9.","productDescription":"62, 28 p.","ipdsId":"IP-123082","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467226,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-021-01486-9","text":"Publisher Index Page"},{"id":463239,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Philippines","otherGeospatial":"Mayon volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              123.5101731400274,\n              13.501020877721444\n            ],\n            [\n              123.5101731400274,\n              13.33999591750549\n            ],\n            [\n              123.70654204522504,\n              13.33999591750549\n            ],\n            [\n              123.70654204522504,\n              13.501020877721444\n            ],\n            [\n              123.5101731400274,\n              13.501020877721444\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"83","noUsgsAuthors":false,"publicationDate":"2021-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruth, Dawn Catherine Sweeney 0000-0001-9369-9364","orcid":"https://orcid.org/0000-0001-9369-9364","contributorId":334908,"corporation":false,"usgs":true,"family":"Ruth","given":"Dawn","email":"","middleInitial":"Catherine Sweeney","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costa, Fidel","contributorId":184169,"corporation":false,"usgs":false,"family":"Costa","given":"Fidel","email":"","affiliations":[],"preferred":false,"id":916875,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223914,"text":"70223914 - 2021 - Estimating and forecasting time-varying groundwater recharge in fractured rock: A state-space formulation with preferential and diffuse flow to the water table","interactions":[],"lastModifiedDate":"2021-10-06T16:00:10.10863","indexId":"70223914","displayToPublicDate":"2021-09-09T07:11:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Estimating and forecasting time-varying groundwater recharge in fractured rock: A state-space formulation with preferential and diffuse flow to the water table","docAbstract":"<p>Rapid infiltration following precipitation may result in groundwater contamination from surface contaminants or pathogens. In fractured rock, contaminants can migrate rapidly to points of groundwater withdrawals. In contrast to the temporal availability of groundwater quality chemical indicators, meteorological and groundwater level observations are available in real-time to estimate time-varying recharge, which can act as a surrogate to identify periods of rapid infiltration that may indicate contamination susceptibility. Estimating recharge using methods, such as base-flow recession, unsaturated infiltration models, or Water-Table Fluctuations (WTF), cannot capitalize on currently available technologies and telecommunication infrastructure to conduct real-time recharge estimation at scales relevant to characterizing rapid infiltration. We present a linear, physics-based State-Space (SS) model of one-dimensional infiltration to estimate recharge, which includes preferential and diffuse-flow to the water table. The model can take advantage of real-time data for water-table altitude, precipitation, and evapotranspiration. Model parameters are calibrated over an observation period, and the Kalman Filter (KF) is subsequently applied to continuously update the observed (water-table altitude) and unobserved (groundwater recharge) system states and predict future states as new data become available. The SS/KF algorithm is demonstrated at the Masser Groundwater Recharge Site in Pennsylvania, USA and comparisons are made with recharge estimates from WTF methods. Model results indicate that the frequency of observations (daily versus sub-daily) dictates the allocation between preferential and diffuse flow. Additionally, because infiltration processes encompass many nonlinearities, model parameters estimated from observation periods need to be updated at least seasonally to account for changing recharge conditions.</p>","language":"English","publisher":"Wiley","doi":"10.1029/2020WR029110","usgsCitation":"Shapiro, A.M., and Day-Lewis, F., 2021, Estimating and forecasting time-varying groundwater recharge in fractured rock: A state-space formulation with preferential and diffuse flow to the water table: Water Resources Research, v. 57, no. 9, e2020WR029110, 30 p., https://doi.org/10.1029/2020WR029110.","productDescription":"e2020WR029110, 30 p.","ipdsId":"IP-122279","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":450863,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020wr029110","text":"Publisher Index Page"},{"id":436205,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VBR9V8","text":"USGS data release","linkHelpText":"Algorithms for model parameter estimation, state estimation, and forecasting applied to a State-Space model coupled with the Kalman Filter for one-dimensional vertical infiltration to fractured rock aquifers"},{"id":436204,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LLXCIC","text":"USGS data release","linkHelpText":"Water Level Altitude in Bedrock Wells and Meteorological Data at the Masser Groundwater Recharge Site between February 1 and December 31, 1999"},{"id":389205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":823234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":823235,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223785,"text":"70223785 - 2021 - Thermal stability of an adaptable, invasive ectotherm: Argentine giant tegus in the Greater Everglades ecosystem, USA","interactions":[],"lastModifiedDate":"2021-09-08T19:02:29.353507","indexId":"70223785","displayToPublicDate":"2021-09-08T11:53:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Thermal stability of an adaptable, invasive ectotherm: Argentine giant tegus in the Greater Everglades ecosystem, USA","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Invasive species globally threaten biodiversity and economies, but the ecophysiological mechanisms underlying their success are often understudied. For those alien species that also exhibit high phenotypic plasticity, such as habitat generalists, adaptations in response to environmental pressures can take place relatively quickly. The Argentine giant tegu (<i>Salvator merianae</i>; tegu) is a large omnivorous lizard from South America that is prolific, long-lived, vagile, and highly adaptable to disturbed environments. They are well suited to the climate of southeastern United States, introduced to several disjunct areas, including the Everglades, where their voracious appetite threatens native wildlife. Tegus undergo winter dormancy (hibernation) to cope with colder temperatures, and while this behavior may facilitate invasion into more temperate regions, it may also present management opportunities. We studied the thermal habits of wild<span>&nbsp;</span><i>S.&nbsp;merianae</i><span>&nbsp;</span>within their invaded range in southern Florida, USA. We used radiotelemetry and trail cameras to verify aboveground behaviors, and temperature dataloggers to monitor surface (sun-exposed [<i>T</i><sub>e</sub>] and shaded [<i>T</i><sub>s</sub>]), ambient (<i>T</i><sub>a</sub>), subsurface ground (<i>T</i><sub>h</sub>), and internal body (<i>T</i><sub>b</sub>) temperatures of a population of free-ranging tegus over several seasons. We evaluated thermal and behavioral data and identified five biologically significant periods: pre-hibernal, hibernal, cold snaps, hibernal-basking, and post-hibernal. We found tegus maintained thermal stability throughout the hibernal period, frequently at temperatures above available thermal microhabitats. Variation in<span>&nbsp;</span><i>T</i><sub>b</sub><span>&nbsp;</span>was lowest during hibernation and cold snaps and was less variable than subsurface temperatures despite not leaving their hibernaculum. Hibernal ingress and egress were best predicted by temperature differentials between exposed soil and ambient daily mean temperatures (<i>T</i><sub>e</sub>&nbsp;−&nbsp;<i>T</i><sub>a</sub>) and daylength. Though we detected no sex differences, larger animals started hibernation sooner, stayed in hibernation longer, and retained higher fat stores over the study period. One individual did not hibernate, representing only the second record of this behavior. Despite limitations of these descriptive data, this is the first study finely detailing<span>&nbsp;</span><i>T</i><sub>b</sub><span>&nbsp;</span>of a population of wild, free-ranging<span>&nbsp;</span><i>S.&nbsp;merianae</i><span>&nbsp;</span>over multiple biologically significant time periods and to associate<span>&nbsp;</span><i>T</i><sub>b</sub><span>&nbsp;</span>with thermal habitats within its invasive range. Tegus' apparent ability for thermal stability expands the adaptability breadth of this species and underscores the invasion threat.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3579","usgsCitation":"Currylow, A.F., Collier, M., Hanslowe, E.B., Falk, B., Cade, B.S., Moy, S.E., Grajal-Puche, A., Ridgley, F.N., Reed, R., and Yackel Adams, A.A., 2021, Thermal stability of an adaptable, invasive ectotherm: Argentine giant tegus in the Greater Everglades ecosystem, USA: Ecosphere, v. 12, no. 9, p. 1-18, https://doi.org/10.1002/ecs2.3579.","productDescription":"e03579, 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-118593","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":450869,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3579","text":"Publisher Index Page"},{"id":436206,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QCSKRR","text":"USGS data release","linkHelpText":"Dataset from 2015-2016 thermal and behavior monitoring of Argentine giant tegus in Everglades, Florida"},{"id":388960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades, Southern Glades Wildlife Environmental Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.57441711425781,\n              25.397692428732874\n            ],\n            [\n              -80.57510375976562,\n              25.28536903925994\n            ],\n            [\n              -80.44464111328125,\n              25.28723160236171\n            ],\n            [\n            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0000-0001-5715-448X","orcid":"https://orcid.org/0000-0001-5715-448X","contributorId":265393,"corporation":false,"usgs":false,"family":"Collier","given":"Michelle","email":"","affiliations":[{"id":54672,"text":"National Park Service, Everglades National Park, 40001 SR 9336, Homestead, Florida 33034, USA","active":true,"usgs":false}],"preferred":false,"id":822693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanslowe, Emma B. 0000-0003-4331-6729","orcid":"https://orcid.org/0000-0003-4331-6729","contributorId":265394,"corporation":false,"usgs":false,"family":"Hanslowe","given":"Emma","email":"","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":822694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falk, Bryan G. 0000-0002-9690-5626","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":265395,"corporation":false,"usgs":false,"family":"Falk","given":"Bryan G.","affiliations":[{"id":54672,"text":"National Park Service, Everglades National Park, 40001 SR 9336, Homestead, Florida 33034, USA","active":true,"usgs":false}],"preferred":false,"id":822695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moy, Sarah E.","contributorId":265396,"corporation":false,"usgs":false,"family":"Moy","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":822697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grajal-Puche, Alejandro 0000-0003-1807-4799","orcid":"https://orcid.org/0000-0003-1807-4799","contributorId":265397,"corporation":false,"usgs":false,"family":"Grajal-Puche","given":"Alejandro","affiliations":[{"id":54677,"text":"Department of Biological Sciences, P.O. Box 5640, Northern Arizona University, Flagstaff, Arizona 86011, USA","active":true,"usgs":false}],"preferred":false,"id":822698,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ridgley, Frank N. 0000-0002-6819-2577","orcid":"https://orcid.org/0000-0002-6819-2577","contributorId":265398,"corporation":false,"usgs":false,"family":"Ridgley","given":"Frank","email":"","middleInitial":"N.","affiliations":[{"id":54678,"text":"Zoo Miami, Conservation and Research Department, 12400 SW 152nd St., Miami, Florida 33177, USA","active":true,"usgs":false}],"preferred":false,"id":822699,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822700,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822701,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70223753,"text":"70223753 - 2021 - A protocol for modelling generalised biological responses using latent variables in structural equation models","interactions":[],"lastModifiedDate":"2021-09-08T11:58:05.588979","indexId":"70223753","displayToPublicDate":"2021-09-07T09:21:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5943,"text":"One Ecosystem","active":true,"publicationSubtype":{"id":10}},"title":"A protocol for modelling generalised biological responses using latent variables in structural equation models","docAbstract":"In this paper we consider the problem of how to quantitatively characterize the degree to which a study object exhibits a generalized response. By generalized response, we mean a multivariate response where numerous individual properties change in concerted fashion due to some internal integration. In latent variable structural equation modeling (LVSEM), we would typically approach this situation using a latent variable to represent a general property of interest (e.g., performance) and multiple observed indicator variables that reflect the specific features associated with that general property. While ecologists have used LVSEM in a number of cases, there is substantial potential for its wider application. One obstacle is that LV models can be complex and easily over-specified, degrading their value as a means of generalization. It can also be challenging to diagnose causes of misspecification and understand which model modifications are sensible. In this paper we present a protocol, consisting of a series of questions, designed to guide the researchers through the evaluation process. These questions address (1) theoretical development, (2) data requirements, (3) whether responses to perturbation are general, (4) unique reactions by individual measures, and (5) how far generality can be extended. For this illustration, we reference a recent study considering the potential consequences of maintaining biodiversity as part of agricultural management on the overall quality of grapes used for wine making. We extend our presentation to include the complexities that occur when there are multiple species with unique reactions.","language":"English","publisher":"Pensoft Publishers","doi":"10.3897/oneeco.6.e67320","usgsCitation":"Grace, J., and Steiner, M., 2021, A protocol for modelling generalised biological responses using latent variables in structural equation models: One Ecosystem, v. 6, e67320, 20 p., https://doi.org/10.3897/oneeco.6.e67320.","productDescription":"e67320, 20 p.","ipdsId":"IP-128690","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":450898,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/oneeco.6.e67320","text":"Publisher Index Page"},{"id":388870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2021-07-08","publicationStatus":"PW","contributors":{"editors":[{"text":"Akomolafe, Gbenga","contributorId":265354,"corporation":false,"usgs":false,"family":"Akomolafe","given":"Gbenga","email":"","affiliations":[],"preferred":false,"id":822627,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Grace, James B. 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":220095,"corporation":false,"usgs":true,"family":"Grace","given":"James B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":822551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steiner, Magdalena","contributorId":265327,"corporation":false,"usgs":false,"family":"Steiner","given":"Magdalena","email":"","affiliations":[{"id":54645,"text":"University of Fribourg, Ecology and Evolution, Department of Biology","active":true,"usgs":false}],"preferred":false,"id":822552,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70224545,"text":"70224545 - 2021 - Annual-cycle movements and phenology of black scoters in eastern North America","interactions":[],"lastModifiedDate":"2021-10-18T15:09:51.659424","indexId":"70224545","displayToPublicDate":"2021-09-07T08:51:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Annual-cycle movements and phenology of black scoters in eastern North America","docAbstract":"<p><span>Sea ducks exhibit complex movement patterns throughout their annual cycle; most species use distinct molting and staging sites during migration and disjunct breeding and wintering sites. Although research on black scoters (</span><i>Melanitta americana</i><span>) has investigated movements and habitat selection during winter, little is known about their annual-cycle movements. We used satellite telemetry to identify individual variation in migratory routes and breeding areas for black scoters wintering along the Atlantic Coast, to assess migratory connectivity among wintering, staging, breeding, and molt sites, and to examine effects of breeding site attendance on movement patterns and phenology. Black scoters occupied wintering areas from Canadian Maritime provinces to the southeastern United States. Males used an average of 2.5 distinct winter areas compared to 1.1 areas for females, and within-winter movements averaged 1,256 km/individual. Individuals used an average of 2.1 staging sites during the 45-day pre-breeding migration period, and almost all were detected in the Gulf of St. Lawrence. Males spent less time at breeding sites and departed them earlier than females. During post-breeding migration, females took approximately 25 fewer days than males to migrate from breeding sites to molt and staging sites, and then wintering areas. Most individuals used molt sites in James and Hudson bays before migrating directly to coastal wintering sites, which took approximately 11 days and covered 1,524 km. Males tended to arrive at wintering areas 10 days earlier than females. Individuals wintering near one another did not breed closer together than expected by chance, suggesting weak spatial structuring of the Atlantic population. Females exhibited greater fidelity (4.5 km) to previously used breeding sites compared to males (60 km). A substantial number of birds bred west of Hudson Bay in the Barrenlands, suggesting this area is used more widely than believed previously. Hudson and James bays provided key habitat for black scoters that winter along the Atlantic Coast, with most individuals residing for &gt;30% of their annual cycle in these bays. Relative to other species of sea duck along the Atlantic Coast, the Atlantic population of black scoter is more dispersed and mobile during winter but is more concentrated during migration. These results could have implications for future survey efforts designed to assess population trends of black scoters.&nbsp;</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22125","usgsCitation":"Lamb, J.S., Gilliland, S.G., Savard, J.L., Loring, P.H., McWilliams, S.R., Olsen, G.H., Osenkowski, J.E., Paton, P.W., Perry, M., and Bowman, T.D., 2021, Annual-cycle movements and phenology of black scoters in eastern North America: Journal of Wildlife Management, v. 85, no. 8, p. 1628-1645, https://doi.org/10.1002/jwmg.22125.","productDescription":"18 p.","startPage":"1628","endPage":"1645","ipdsId":"IP-126228","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":489131,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/nrs_facpubs/523","text":"External 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]\n}","volume":"85","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-09-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamb, Juliet S. 0000-0003-0358-3240","orcid":"https://orcid.org/0000-0003-0358-3240","contributorId":198059,"corporation":false,"usgs":false,"family":"Lamb","given":"Juliet","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":824006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilliland, Scott G.","contributorId":225143,"corporation":false,"usgs":false,"family":"Gilliland","given":"Scott","email":"","middleInitial":"G.","affiliations":[{"id":41046,"text":"Canadian Wildlife Service, Environment and Climate Change Canada, Sackville, NB","active":true,"usgs":false}],"preferred":false,"id":824007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savard, Jean-Pierre L.","contributorId":101776,"corporation":false,"usgs":false,"family":"Savard","given":"Jean-Pierre","email":"","middleInitial":"L.","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":824008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loring, Pamela H.","contributorId":266003,"corporation":false,"usgs":false,"family":"Loring","given":"Pamela","email":"","middleInitial":"H.","affiliations":[{"id":54854,"text":"Division of Migratory Birds, U.S. Fish and Wildlife Service, Charlestown, RI 02813, USA","active":true,"usgs":false}],"preferred":false,"id":824010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McWilliams, Scott R.","contributorId":172328,"corporation":false,"usgs":false,"family":"McWilliams","given":"Scott","email":"","middleInitial":"R.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":824056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olsen, Glenn H. 0000-0002-7188-6203","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":238130,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":824012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Osenkowski, Jason E.","contributorId":225144,"corporation":false,"usgs":false,"family":"Osenkowski","given":"Jason","email":"","middleInitial":"E.","affiliations":[{"id":41047,"text":"Rhode Island Department of Environmental Management, West Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":824011,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paton, Peter W. C.","contributorId":146616,"corporation":false,"usgs":false,"family":"Paton","given":"Peter","email":"","middleInitial":"W. C.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":824057,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perry, Matthew 0000-0001-6452-9534 mperry@usgs.gov","orcid":"https://orcid.org/0000-0001-6452-9534","contributorId":179173,"corporation":false,"usgs":true,"family":"Perry","given":"Matthew","email":"mperry@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":824013,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bowman, Timothy D.","contributorId":80779,"corporation":false,"usgs":false,"family":"Bowman","given":"Timothy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":824009,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70223746,"text":"70223746 - 2021 - Gut microbiota associated with different sea lamprey (Petromyzon marinus) life stages","interactions":[],"lastModifiedDate":"2021-09-07T14:51:20.460964","indexId":"70223746","displayToPublicDate":"2021-09-03T09:46:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Gut microbiota associated with different sea lamprey (<i>Petromyzon marinus</i>) life stages","title":"Gut microbiota associated with different sea lamprey (Petromyzon marinus) life stages","docAbstract":"<p><span>Sea lamprey (SL;&nbsp;</span><i>Petromyzon marinus</i><span>), one of the oldest living vertebrates, have a complex metamorphic life cycle. Following hatching, SL transition into a microphagous, sediment burrowing larval stage, and after 2–10+ years, the larvae undergo a dramatic metamorphosis, transforming into parasitic juveniles that feed on blood and bodily fluids of fishes; adult lamprey cease feeding, spawn, and die. Since gut microbiota are critical for the overall health of all animals, we examined the microbiota associated with SLs in each life history stage. We show that there were significant differences in the gut bacterial communities associated with the larval, parasitic juvenile, and adult life stages. The transition from larval to the parasitic juvenile stage was marked with a significant shift in bacterial community structure and reduction in alpha diversity. The most abundant SL-associated phyla were Proteobacteria, Fusobacteria, Bacteroidetes, Verrucomicrobia, Actinobacteria, and Firmicutes, with their relative abundances varying among the stages. Moreover, while larval SL were enriched with unclassified Fusobacteriaceae, unclassified Verrucomicrobiales and Cetobacterium, members of the genera with fastidious nutritional requirements, such as&nbsp;</span><i>Streptococcus</i><span>,&nbsp;</span><i>Haemophilus</i><span>,&nbsp;</span><i>Cutibacterium</i><span>,&nbsp;</span><i>Veillonella</i><span>, and&nbsp;</span><i>Massilia</i><span>, were three to four orders of magnitude greater in juveniles than in larvae. In contrast, adult SLs were enriched with&nbsp;</span><i>Aeromonas</i><span>,&nbsp;</span><i>Iodobacter</i><span>,&nbsp;</span><i>Shewanella</i><span>, and&nbsp;</span><i>Flavobacterium</i><span>. Collectively, our findings show that bacterial communities in the SL gut are dramatically different among its life stages. Understanding how these communities change over time within and among SL life stages may shed more light on the role that these gut microbes play in host growth and fitness.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmicb.2021.706683","usgsCitation":"Mathai, P., Byappanahalli, M., Johnson, N.S., and Sadowsky, M.J., 2021, Gut microbiota associated with different sea lamprey (Petromyzon marinus) life stages: Frontiers in Microbiology, v. 12, 706683, 11 p., https://doi.org/10.3389/fmicb.2021.706683.","productDescription":"706683, 11 p.","ipdsId":"IP-129553","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":450943,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2021.706683","text":"Publisher Index Page"},{"id":388873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"Lake Huron watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.24316406249999,\n              42.85180609584705\n            ],\n            [\n              -79.56298828125,\n              42.85180609584705\n            ],\n            [\n              -79.56298828125,\n              47.502358951968574\n            ],\n            [\n              -84.24316406249999,\n              47.502358951968574\n            ],\n            [\n              -84.24316406249999,\n              42.85180609584705\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2021-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Mathai, P 0000-0001-5261-9911","orcid":"https://orcid.org/0000-0001-5261-9911","contributorId":265312,"corporation":false,"usgs":false,"family":"Mathai","given":"P","email":"","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":822538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byappanahalli, Muruleedhara 0000-0001-5376-597X","orcid":"https://orcid.org/0000-0001-5376-597X","contributorId":241924,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":822539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":822540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sadowsky, Michael J.","contributorId":34003,"corporation":false,"usgs":false,"family":"Sadowsky","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":822541,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70225724,"text":"70225724 - 2021 - Modelling tilt noise caused by atmospheric processes at long periods for several horizontal seismometers at BFO—A reprise","interactions":[],"lastModifiedDate":"2021-11-05T11:58:08.77405","indexId":"70225724","displayToPublicDate":"2021-09-02T06:57:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Modelling tilt noise caused by atmospheric processes at long periods for several horizontal seismometers at BFO—A reprise","docAbstract":"<p class=\"chapter-para\">Tilting of the ground due to loading by the variable atmosphere is known to corrupt very long period horizontal seismic records (below 10 mHz) even at the quietest stations. At BFO (Black Forest Observatory, SW-Germany), the opportunity arose to study these disturbances on a variety of simultaneously operated state-of-the-art broad-band sensors. A series of time windows with clear atmospherically caused effects was selected and attempts were made to model these ‘signals’ in a deterministic way. This was done by simultaneously least-squares fitting the locally recorded barometric pressure and its Hilbert transform to the ground accelerations in a bandpass between 100 and 3600&nbsp;s periods. Variance reductions of up to 97 per cent were obtained. We show our results by combining the ‘specific pressure induced accelerations’ for the two horizontal components of the same sensor as vectors on a horizontal plane, one for direct pressure and one for its Hilbert transform. It turned out that at BFO the direct pressure effects are large, strongly position dependent and largely independent of atmospheric events for instruments installed on piers, while three post-hole sensors are only slightly affected. The infamous ‘cavity effects’ are invoked to be responsible for these large effects on the pier sensors. On the other hand, in the majority of cases all sensors showed very similar magnitudes and directions for the vectors obtained for the regression with the Hilbert transform, but highly variable from event to event especially in direction. Therefore, this direction most certainly has to do with the gradient of the pressure field moving over the station which causes a larger scale deformation of the crust. The observations are very consistent with these two fundamental mechanisms of how fluctuations of atmospheric surface pressure causes tilt noise. The results provide a sound basis for further improvements of the models for these mechanisms. The methods used here can already help to reduce atmospherically induced noise in long-period horizontal seismic records.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggab336","usgsCitation":"Zurn, W., Forbriger, T., Widmer-Schnidrig, R., Duffner, P., and Ringler, A.T., 2021, Modelling tilt noise caused by atmospheric processes at long periods for several horizontal seismometers at BFO—A reprise: Geophysical Journal International, v. 228, no. 2, p. 927-943, https://doi.org/10.1093/gji/ggab336.","productDescription":"17 p.","startPage":"927","endPage":"943","ipdsId":"IP-131609","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":450964,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.5445/ir/1000140172","text":"External Repository"},{"id":391423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"228","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Zurn, W.","contributorId":268322,"corporation":false,"usgs":false,"family":"Zurn","given":"W.","affiliations":[{"id":55624,"text":"Black Forest Observatory (Schiltach)","active":true,"usgs":false}],"preferred":false,"id":826410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forbriger, T.","contributorId":268323,"corporation":false,"usgs":false,"family":"Forbriger","given":"T.","email":"","affiliations":[{"id":55625,"text":"Black Forest Observatory (Schiltach); Karlsruhe Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":826411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widmer-Schnidrig, R.","contributorId":221153,"corporation":false,"usgs":false,"family":"Widmer-Schnidrig","given":"R.","email":"","affiliations":[{"id":40338,"text":"Black Forest Observatory, Institute of Geodesy, Stuttgart University, Wolfach, Germany","active":true,"usgs":false}],"preferred":false,"id":826412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duffner, P.","contributorId":268324,"corporation":false,"usgs":false,"family":"Duffner","given":"P.","email":"","affiliations":[{"id":55625,"text":"Black Forest Observatory (Schiltach); Karlsruhe Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":826413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":826414,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70237357,"text":"70237357 - 2021 - LakeEnsemblR: An R package that facilitates ensemble modelling of lakes","interactions":[],"lastModifiedDate":"2022-10-11T15:49:16.703697","indexId":"70237357","displayToPublicDate":"2021-09-01T10:40:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"LakeEnsemblR: An R package that facilitates ensemble modelling of lakes","docAbstract":"Model ensembles have several benefits compared to single-model applications but are not frequently used within the lake modelling community. Setting up and running multiple lake models can be challenging and time consuming, despite the many similarities between the existing models (forcing data, hypsograph, etc.). Here we present an R package, LakeEnsemblR, that facilitates running ensembles of five different vertical one-dimensional hydrodynamic lake models (FLake, GLM, GOTM, Simstrat, MyLake). The package requires input in a standardised format and a single configuration file. LakeEnsemblR formats these files to the input required by each model, and provides functions to run and calibrate the models. The outputs of the different models are compiled into a single file, and several post-processing operations are supported. LakeEnsemblR's workflow standardisation can simplify model benchmarking and uncertainty quantification, and improve collaborations between scientists. We showcase the successful application of LakeEnsemblR for two different lakes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2021.105101","usgsCitation":"Moore, T.N., Mesman, J., Ladwig, R., Feldbauer, J., Olsson, F., Pilla, R.M., Shatwell, T., Venkiteswaran, J.J., Delany, A.D., Dugan, H., Rose, K.C., and Read, J., 2021, LakeEnsemblR: An R package that facilitates ensemble modelling of lakes: Environmental Modelling & Software, v. 143, 105101, 14 p., https://doi.org/10.1016/j.envsoft.2021.105101.","productDescription":"105101, 14 p.","ipdsId":"IP-122731","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":450973,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2021.105101","text":"Publisher Index Page"},{"id":408161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Tadhg N.","contributorId":297476,"corporation":false,"usgs":false,"family":"Moore","given":"Tadhg","email":"","middleInitial":"N.","affiliations":[{"id":64406,"text":"Dundalk Institute of Technology, Centre for Freshwater and Environmental Studies, Dundalk, Co. Louth, Ireland","active":true,"usgs":false}],"preferred":false,"id":854248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mesman, Jorrit P.","contributorId":297477,"corporation":false,"usgs":false,"family":"Mesman","given":"Jorrit P.","affiliations":[{"id":64408,"text":"University of Geneva, Department F.A. Forel for Environmental and Aquatic Sciences, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":854249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ladwig, Robert","contributorId":265278,"corporation":false,"usgs":false,"family":"Ladwig","given":"Robert","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":854250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feldbauer, Johannes 0000-0002-8238-5375","orcid":"https://orcid.org/0000-0002-8238-5375","contributorId":268217,"corporation":false,"usgs":false,"family":"Feldbauer","given":"Johannes","email":"","affiliations":[{"id":55600,"text":"Technische Universität Dresden","active":true,"usgs":false}],"preferred":false,"id":854251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olsson, Freya","contributorId":297478,"corporation":false,"usgs":false,"family":"Olsson","given":"Freya","email":"","affiliations":[{"id":64410,"text":"UK Centre for Ecology & Hydrology, Lancaster Environment Centre, Bailrigg, Lancaster, UK","active":true,"usgs":false}],"preferred":false,"id":854252,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilla, Rachel M. 0000-0001-9156-9486","orcid":"https://orcid.org/0000-0001-9156-9486","contributorId":261758,"corporation":false,"usgs":false,"family":"Pilla","given":"Rachel","email":"","middleInitial":"M.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":854253,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shatwell, Tom","contributorId":297279,"corporation":false,"usgs":false,"family":"Shatwell","given":"Tom","email":"","affiliations":[{"id":64343,"text":"Helmholtz Centre for Environmental Research - UFZ, Department Lake Research, Magdeburg, Germany","active":true,"usgs":false}],"preferred":false,"id":854254,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Venkiteswaran, Jason J.","contributorId":297479,"corporation":false,"usgs":false,"family":"Venkiteswaran","given":"Jason","email":"","middleInitial":"J.","affiliations":[{"id":64411,"text":"Wilfrid Laurier University, Department of Geography and Environmental Studies, Waterloo, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":854255,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Delany, Austin D.","contributorId":297480,"corporation":false,"usgs":false,"family":"Delany","given":"Austin","email":"","middleInitial":"D.","affiliations":[{"id":64412,"text":"University of Wisconsin – Madison, Center for Limnology, Madison, Wisconsin, USA","active":true,"usgs":false}],"preferred":false,"id":854256,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dugan, Hilary","contributorId":150191,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","affiliations":[{"id":17938,"text":"Center for Limnology University of Wisconsin, Madison, WI 53706, US","active":true,"usgs":false}],"preferred":false,"id":854257,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rose, Kevin C.","contributorId":174809,"corporation":false,"usgs":false,"family":"Rose","given":"Kevin","email":"","middleInitial":"C.","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":854258,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Read, Jordan 0000-0002-3888-6631","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":221385,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":854259,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70221705,"text":"70221705 - 2021 - Redefining the age of the lower Colorado River, southwestern United States: Reply","interactions":[],"lastModifiedDate":"2021-09-15T14:14:36.049505","indexId":"70221705","displayToPublicDate":"2021-09-01T09:13:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Redefining the age of the lower Colorado River, southwestern United States: Reply","docAbstract":"Crow et al. (2021) report new geochronologic and paleomagnetic data indicating that the lower Colorado River (CR) became integrated to the proto–Gulf of California (GOC) between 4.8 and 4.62 Ma instead of at ca. 5.3 Ma, as suggested by Dorsey et al. (2007, 2018). Dorsey et al. (2021) dispute this new chronology but offer no alternative explanation for one of the key data sets requiring it, new detrital sanidine (DS) geochronology. This accurate and precise constraint agrees with detrital zircon results on separate samples (Cloos, 2014) and is tied through magnetostratigraphy to the first known CR sands in the GOC.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G49334Y.1","usgsCitation":"Crow, R.S., Schwing, J., Karlstrom, K., Heizler, M., Pearthree, P., House, K., Dulin, S., Janecke, S., Stelten, M.E., and Crossey, L., 2021, Redefining the age of the lower Colorado River, southwestern United States: Reply: Geology, v. 49, no. 9, p. e532-e533, https://doi.org/10.1130/G49334Y.1.","productDescription":"2 p.","startPage":"e532","endPage":"e533","ipdsId":"IP-130110","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":450982,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g49334y.1","text":"Publisher Index Page"},{"id":389264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, California, Nevada","otherGeospatial":"lower Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.01562499999999,\n              31.55981453201843\n            ],\n            [\n              -114.136962890625,\n              31.55981453201843\n            ],\n            [\n              -114.136962890625,\n              36.589068371399115\n            ],\n            [\n              -116.01562499999999,\n              36.589068371399115\n            ],\n            [\n              -116.01562499999999,\n              31.55981453201843\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":818479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwing, Jonathan","contributorId":242021,"corporation":false,"usgs":false,"family":"Schwing","given":"Jonathan","affiliations":[],"preferred":false,"id":818480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karlstrom, Karl","contributorId":245363,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":818481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heizler, Matt","contributorId":245364,"corporation":false,"usgs":false,"family":"Heizler","given":"Matt","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":818482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearthree, Philip","contributorId":195166,"corporation":false,"usgs":false,"family":"Pearthree","given":"Philip","affiliations":[],"preferred":false,"id":818483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":818484,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dulin, Shannon","contributorId":260688,"corporation":false,"usgs":false,"family":"Dulin","given":"Shannon","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":818485,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Janecke, Susane","contributorId":260689,"corporation":false,"usgs":false,"family":"Janecke","given":"Susane","email":"","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":818486,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":818487,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crossey, Laurie","contributorId":260692,"corporation":false,"usgs":false,"family":"Crossey","given":"Laurie","email":"","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":818488,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70228264,"text":"70228264 - 2021 - Developing bare-earth digital elevation models from structure-from-motion data on barrier islands","interactions":[],"lastModifiedDate":"2023-06-09T14:08:15.215958","indexId":"70228264","displayToPublicDate":"2021-09-01T08:49:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Developing bare-earth digital elevation models from structure-from-motion data on barrier islands","docAbstract":"<p><span>Unoccupied aerial systems can collect&nbsp;aerial imagery&nbsp;that can be used to develop structure-from-motion products with a temporal resolution well-suited to monitoring dynamic barrier island environments. However, topographic data created using photogrammetric techniques such as structure-from-motion represent the surface elevation including the&nbsp;</span>vegetation canopy<span>. Additional processing is required for estimating bare-earth elevation, which is critical for understanding the underlying geomorphology of these islands. In this study, we used a vegetation and elevation survey to produce bare-earth&nbsp;digital elevation models&nbsp;from structure-from-motion-derived elevation products for two sites on Dauphin Island, Alabama (USA). One site was exposed to high wave energy and included a mix of beach,&nbsp;dune, and barrier flat habitats that were dominated by supratidal/upland herbaceous vegetation. The second site was exposed to low wave energy and was dominated by intertidal marsh. Aerial imagery was collected in late fall of 2018 and spring of 2019. We tested several&nbsp;machine learning algorithms&nbsp;for predicting and removing elevation bias for vegetated areas using predictors that included spectral indices from unoccupied aerial systems-based multispectral imagery and landscape position information (e.g., relative topography and distance from shore). Models were developed for each site and season. We also explored how well the model from one season generalized to data from a different season for the same site. For developing initial digital surface models, we found that utilizing a minimum bin algorithm, as opposed to interpolation, led to lower elevation bias. For bias removal, Gaussian process regression performed the best and led to a&nbsp;root mean square error&nbsp;for the bare-earth digital elevation models of around 0.10&nbsp;m for the high energy site and 0.15&nbsp;m for the low energy site. Compared to the digital surface models, the root mean square error for the bare-earth digital elevation models was reduced by at least 29 percent for the high energy site and 69 percent for the low energy site. For all models, common predictors included surface elevation, vegetation greenness, and distance from the&nbsp;shoreline. The models produced comparable results when trained using data from a different season. The error estimates for all analyses were within published elevation standards for&nbsp;lidar&nbsp;data for vegetated areas. With calibration, this approach could be portable to other areas or data, such as aerial lidar (conventional or unoccupied), to provide an efficient and repeatable framework for monitoring geomorphology or provide baseline elevations for predicting changes to these environments under future conditions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2021.08.014","usgsCitation":"Enwright, N., Kranenburg, C.J., Patton, B., Dalyander, P., Brown, J., Piazza, S., and Cheney, W.C., 2021, Developing bare-earth digital elevation models from structure-from-motion data on barrier islands: ISPRS Journal of Photogrammetry and Remote Sensing, v. 180, p. 269-282, https://doi.org/10.1016/j.isprsjprs.2021.08.014.","productDescription":"14 p.; Data Release","startPage":"269","endPage":"282","ipdsId":"IP-127598","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":450987,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isprsjprs.2021.08.014","text":"Publisher Index Page"},{"id":436215,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RA15I0","text":"USGS data release","linkHelpText":"Barrier island vegetation and elevation survey, Dauphin Island, AL, 2018-19"},{"id":395611,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417857,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99PX0O3"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.33969116210938,\n              30.211608223816906\n            ],\n            [\n              -88.06159973144531,\n              30.211608223816906\n            ],\n            [\n              -88.06159973144531,\n              30.286938665455985\n            ],\n            [\n              -88.33969116210938,\n              30.286938665455985\n            ],\n            [\n              -88.33969116210938,\n              30.211608223816906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"180","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":217794,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kranenburg, Christine J. 0000-0002-2955-0167 ckranenburg@usgs.gov","orcid":"https://orcid.org/0000-0002-2955-0167","contributorId":169234,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine","email":"ckranenburg@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":833554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patton, Brett 0000-0002-7396-3452 pattonb@usgs.gov","orcid":"https://orcid.org/0000-0002-7396-3452","contributorId":5458,"corporation":false,"usgs":true,"family":"Patton","given":"Brett","email":"pattonb@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":833555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":221891,"corporation":false,"usgs":false,"family":"Dalyander","given":"P. Soupy","affiliations":[{"id":40456,"text":"St. Petersburg Coastal and Marine Science Center (Former Employee)","active":true,"usgs":false}],"preferred":false,"id":833556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Jenna A. 0000-0003-3137-7073","orcid":"https://orcid.org/0000-0003-3137-7073","contributorId":208564,"corporation":false,"usgs":true,"family":"Brown","given":"Jenna A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":833557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piazza, Sarai 0000-0001-6962-9008","orcid":"https://orcid.org/0000-0001-6962-9008","contributorId":220329,"corporation":false,"usgs":true,"family":"Piazza","given":"Sarai","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833558,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cheney, Wyatt C 0000-0003-1009-8411","orcid":"https://orcid.org/0000-0003-1009-8411","contributorId":274998,"corporation":false,"usgs":false,"family":"Cheney","given":"Wyatt","email":"","middleInitial":"C","affiliations":[{"id":56693,"text":"Cheney Consulting at the U.S. Geological Survey Wetland and Aquatic Research Center","active":true,"usgs":false}],"preferred":false,"id":833559,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70224304,"text":"70224304 - 2021 - Phytoplankton and cyanobacteria abundances in mid-21st century lakes depend strongly on future land use and climate projections","interactions":[],"lastModifiedDate":"2021-11-16T15:44:27.13098","indexId":"70224304","displayToPublicDate":"2021-08-31T07:54:57","publicationYear":"2021","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":"Phytoplankton and cyanobacteria abundances in mid-21st century lakes depend strongly on future land use and climate projections","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Land use and climate change are anticipated to affect phytoplankton of lakes worldwide. The effects will depend on the magnitude of projected land use and climate changes and lake sensitivity to these factors. We used random forests fit with long-term (1971–2016) phytoplankton and cyanobacteria abundance time series, climate observations (1971–2016), and upstream catchment land use (global Clumondo models for the year 2000) data from 14 European and 15&nbsp;North American lakes basins. We projected future phytoplankton and cyanobacteria abundance in the 29 focal lake basins and 1567&nbsp;lakes across focal regions based on three land use (sustainability, middle of the road, and regional rivalry) and two climate (RCP 2.6 and 8.5) scenarios to mid-21st century. On average, lakes are expected to have higher phytoplankton and cyanobacteria due to increases in both urban land use and temperature, and decreases in forest habitat. However, the relative importance of land use and climate effects varied substantially among regions and lakes. Accounting for land use and climate changes in a combined way based on extensive data allowed us to identify urbanization as the major driver of phytoplankton development in lakes located in urban areas, and climate as major driver in lakes located in remote areas where past and future land use changes were minimal. For approximately one-third of the studied lakes, both drivers were relatively important. The results of this large scale study suggest the best approaches for mitigating the effects of human activity on lake phytoplankton and cyanobacteria will depend strongly on lake sensitivity to long-term change and the magnitude of projected land use and climate changes at a given location. Our quantitative analyses suggest local management measures should focus on retaining nutrients in urban landscapes to prevent nutrient pollution from exacerbating ongoing changes to lake ecosystems from climate change.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15866","usgsCitation":"Kakouei, K., Kraemer, B., Anneville, O., Carvalho, L., Feuchtmayr, H., Graham, J.L., Higgins, S., Pomati, F., Rudstam, L., Stockwell, J., Thackeray, S., Vanni, M., and Adrian, R., 2021, Phytoplankton and cyanobacteria abundances in mid-21st century lakes depend strongly on future land use and climate projections: Global Change Biology, v. 27, no. 24, p. 6409-6422, https://doi.org/10.1111/gcb.15866.","productDescription":"14 p.","startPage":"6409","endPage":"6422","ipdsId":"IP-130740","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":451019,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gcb.15866","text":"External Repository"},{"id":389540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"24","noUsgsAuthors":false,"publicationDate":"2021-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Kakouei, Karan 0000-0001-8665-6841","orcid":"https://orcid.org/0000-0001-8665-6841","contributorId":211859,"corporation":false,"usgs":false,"family":"Kakouei","given":"Karan","email":"","affiliations":[{"id":38332,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":823640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraemer, B.M.","contributorId":265877,"corporation":false,"usgs":false,"family":"Kraemer","given":"B.M.","email":"","affiliations":[{"id":34275,"text":"Freie Universitat Berlin","active":true,"usgs":false}],"preferred":false,"id":823641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anneville, O.","contributorId":243525,"corporation":false,"usgs":false,"family":"Anneville","given":"O.","affiliations":[{"id":48714,"text":"Université Savoie","active":true,"usgs":false}],"preferred":false,"id":823642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carvalho, L.","contributorId":265878,"corporation":false,"usgs":false,"family":"Carvalho","given":"L.","email":"","affiliations":[{"id":33563,"text":"Lancaster University","active":true,"usgs":false}],"preferred":false,"id":823643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feuchtmayr, H.","contributorId":265879,"corporation":false,"usgs":false,"family":"Feuchtmayr","given":"H.","affiliations":[{"id":33563,"text":"Lancaster University","active":true,"usgs":false}],"preferred":false,"id":823644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Higgins, S.","contributorId":265880,"corporation":false,"usgs":false,"family":"Higgins","given":"S.","email":"","affiliations":[{"id":54814,"text":"IISD Experimental Lakes Area","active":true,"usgs":false}],"preferred":false,"id":823646,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pomati, F.","contributorId":265881,"corporation":false,"usgs":false,"family":"Pomati","given":"F.","affiliations":[{"id":54815,"text":"Swiss Federal Institute of Water Science and Technology","active":true,"usgs":false}],"preferred":false,"id":823647,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rudstam, L.G.","contributorId":243538,"corporation":false,"usgs":false,"family":"Rudstam","given":"L.G.","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":823648,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stockwell, J.D.","contributorId":265882,"corporation":false,"usgs":false,"family":"Stockwell","given":"J.D.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":823649,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thackeray, S.J.","contributorId":265883,"corporation":false,"usgs":false,"family":"Thackeray","given":"S.J.","affiliations":[{"id":33563,"text":"Lancaster University","active":true,"usgs":false}],"preferred":false,"id":823650,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vanni, M.","contributorId":265884,"corporation":false,"usgs":false,"family":"Vanni","given":"M.","email":"","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":823651,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Adrian, R.","contributorId":265885,"corporation":false,"usgs":false,"family":"Adrian","given":"R.","email":"","affiliations":[{"id":54816,"text":"Leibniz Institute of Freshwater Ecology and Inland Fisheries, Freie Universitat Berlin","active":true,"usgs":false}],"preferred":false,"id":823652,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70224265,"text":"70224265 - 2021 - Taxonomic and functional differences between winter and summer crustacean zooplankton communities in lakes across a trophic gradient","interactions":[],"lastModifiedDate":"2021-10-06T16:02:30.076217","indexId":"70224265","displayToPublicDate":"2021-08-28T07:10:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2430,"text":"Journal of Plankton Research","active":true,"publicationSubtype":{"id":10}},"title":"Taxonomic and functional differences between winter and summer crustacean zooplankton communities in lakes across a trophic gradient","docAbstract":"<p class=\"chapter-para\">Despite increasing interest in winter limnology, few studies have examined under-ice zooplankton communities and the factors shaping them in different types of temperate lakes. To better understand drivers of zooplankton community structure in winter and summer, we sampled 13 lakes across a large trophic status gradient for crustacean zooplankton abundance, taxonomic and functional community composition and C/N stable isotopes. Average winter zooplankton densities were one-third of summer densities across the study lakes. Proportionally, cladocerans were more abundant in summer than winter, with the opposite pattern for calanoids and cyclopoids. In green (eutrophic) lakes, zooplankton densities were higher under the ice than in brown (dystrophic) and blue (oligotrophic) lakes, suggesting better conditions for zooplankton in productive lakes during winter. Overall, zooplankton communities were more similar across lakes under the ice than during the open water season. Feeding group classification showed a decrease in herbivore abundance and an increase in predators from summer to winter. C/N stable isotope results suggested higher lipid content in overwintering zooplankton and potentially increased reliance on the microbial loop by winter zooplankton. Our results show substantial variation in the seasonality of zooplankton communities in different lake types and identify some of the factors responsible for this variation.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/plankt/fbab050","usgsCitation":"Shchapov, K., Wilburn, P., Bramburger, A., Silsbe, G., Olmanson, L., Crawford, C., Litchmann, E., and Ozersky, T., 2021, Taxonomic and functional differences between winter and summer crustacean zooplankton communities in lakes across a trophic gradient: Journal of Plankton Research, v. 43, no. 5, p. 732-750, https://doi.org/10.1093/plankt/fbab050.","productDescription":"19 p.","startPage":"732","endPage":"750","ipdsId":"IP-129395","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":451050,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/41624","text":"External Repository"},{"id":389326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.41650390625,\n              44.793530904744074\n            ],\n            [\n              -90.615234375,\n              44.793530904744074\n            ],\n            [\n              -90.615234375,\n              48.56024979174329\n            ],\n            [\n              -94.41650390625,\n              48.56024979174329\n            ],\n            [\n              -94.41650390625,\n              44.793530904744074\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-08-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Shchapov, Kirill","contributorId":265794,"corporation":false,"usgs":false,"family":"Shchapov","given":"Kirill","email":"","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":823401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilburn, P.","contributorId":265795,"corporation":false,"usgs":false,"family":"Wilburn","given":"P.","email":"","affiliations":[{"id":54804,"text":"NASA Ames","active":true,"usgs":false}],"preferred":false,"id":823402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bramburger, A.","contributorId":265796,"corporation":false,"usgs":false,"family":"Bramburger","given":"A.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":823403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Silsbe, G.","contributorId":265798,"corporation":false,"usgs":false,"family":"Silsbe","given":"G.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":823404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olmanson, L.","contributorId":265799,"corporation":false,"usgs":false,"family":"Olmanson","given":"L.","affiliations":[{"id":33108,"text":"University of Minnesota Twin Cities","active":true,"usgs":false}],"preferred":false,"id":823405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":823406,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Litchmann, E.","contributorId":265800,"corporation":false,"usgs":false,"family":"Litchmann","given":"E.","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":823407,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ozersky, T.","contributorId":265801,"corporation":false,"usgs":false,"family":"Ozersky","given":"T.","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":823408,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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