{"pageNumber":"766","pageRowStart":"19125","pageSize":"25","recordCount":184617,"records":[{"id":70222403,"text":"70222403 - 2019 - Trends in global shark attacks","interactions":[],"lastModifiedDate":"2021-07-27T12:01:26.360395","indexId":"70222403","displayToPublicDate":"2019-02-27T06:57:06","publicationYear":"2019","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":"Trends in global shark attacks","docAbstract":"<p><span>Shark attacks are a global phenomenon that attracts widespread attention and publicity, often with negative outcomes for shark populations. Despite the widespread perceptions of shark attacks, trends in human water activities and shark populations are both dynamic, resulting in variable rates of shark attacks over space and time. Understanding variable trends in shark attacks may contribute to a better understanding of risk, and a more tempered response in the wake of an attack. We found that global shark attack rates are low, yet variable across global regions and over decades. Countries with low populations were found to have the highest rates of attack, while countries with high populations (U.S.A., Australia, South Africa) tended to have overall low attack rates, but also much more interannual variability. From the 1960s to the present, those countries with the highest populations also tended to be the places where attack rates have increased. Ultimately, shark attack risk is also driven by local conditions (e.g., time of day, species present); however, a global scale understanding of attack rates helps place risk into perspective and may contribute to a more scientifically-grounded discussion of sharks, and their management and conservation.</span></p>","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0211049","usgsCitation":"Midway, S.R., Wagner, T., and Burgess, G., 2019, Trends in global shark attacks: PLoS ONE, v. 14, no. 2, e0211049, 13 p., https://doi.org/10.1371/journal.pone.0211049.","productDescription":"e0211049, 13 p.","ipdsId":"IP-103459","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467868,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0211049","text":"Publisher Index Page"},{"id":387457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Midway, Stephen R. 0000-0003-0162-1995","orcid":"https://orcid.org/0000-0003-0162-1995","contributorId":261377,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","email":"","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":819939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":819938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burgess, George H.","contributorId":261378,"corporation":false,"usgs":false,"family":"Burgess","given":"George H.","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":819940,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70218702,"text":"70218702 - 2019 - Mapping a keystone shrub species, huckleberry (Vaccinium membranaceum), using seasonal colour change in the Rocky Mountains","interactions":[],"lastModifiedDate":"2021-03-05T21:56:58.666116","indexId":"70218702","displayToPublicDate":"2019-02-26T15:51:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mapping a keystone shrub species, huckleberry (<i>Vaccinium membranaceum</i>), using seasonal colour change in the Rocky Mountains","title":"Mapping a keystone shrub species, huckleberry (Vaccinium membranaceum), using seasonal colour change in the Rocky Mountains","docAbstract":"<p><span>Black huckleberries (</span><i>Vaccinium membranaceum</i><span>) provide a critical food resource to many wildlife species, including apex omnivores such as the grizzly bear (</span><i>Ursus arctos</i><span>), and play an important socioeconomic role for many communities in western North America, especially indigenous peoples. Remote sensing imagery offers the potential for accurate landscape-level mapping of huckleberries because the shrub changes colour seasonally. We developed two methods, for local and regional scales, to map a shrub species using leaf seasonal colour change from remote sensing imagery. We assessed accuracy with ground-based vegetation surveys. The high-resolution supervised random forest classification from one-meter resolution National Agricultural Imagery Program (NAIP) imagery achieved an overall accuracy of 75.31% (kappa&nbsp;=&nbsp;0.26). The approach using multi-temporal 30-meter Landsat imagery similarly had an overall accuracy of 79.19% (kappa&nbsp;=&nbsp;.31). We found underprediction error was related to higher forest cover and a lack of visible colour change on the ground in some plots. Where forest cover was low, both models performed better. In areas with &lt;10% forest cover, the high-resolution classification achieved an accuracy of 80.73% (kappa&nbsp;=&nbsp;0.48), while the Landsat model had an accuracy of 82.55% (kappa&nbsp;=&nbsp;0.47). Based on the fine-scale predictions, we found that 94% of huckleberry shrubs identified in our study area of Glacier National Park, Montana, USA are over 100 meters from human recreation trails. This information could be combined with productivity and phenology information to estimate the timing and availability of food resources for wildlife and to provide managers with a tool to identify and manage huckleberries. The development of the multi-temporal Landsat models sets the stage for assessment of impacts of disturbance at regional scales on this ecologically, culturally, and economically important shrub species. Our approach to map huckleberries is straightforward, efficient and accessible to wildlife and environmental managers and researchers in diverse fields.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2019.1580819","usgsCitation":"Shores, C.R., Mikle, N., and Graves, T.A., 2019, Mapping a keystone shrub species, huckleberry (Vaccinium membranaceum), using seasonal colour change in the Rocky Mountains: International Journal of Remote Sensing, v. 40, no. 15, p. 5695-5715, https://doi.org/10.1080/01431161.2019.1580819.","productDescription":"21 p.","startPage":"5695","endPage":"5715","ipdsId":"IP-095407","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":384206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.961181640625,\n              48.31060120649363\n            ],\n            [\n              -112.939453125,\n              48.242967421301366\n            ],\n            [\n              -113.65631103515625,\n              48.99103162515999\n            ],\n            [\n              -114.81536865234374,\n              49.005447494058096\n            ],\n            [\n              -114.5050048828125,\n              48.545705491847464\n            ],\n            [\n              -114.15618896484375,\n              48.35989909002194\n            ],\n            [\n              -113.961181640625,\n              48.31060120649363\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"15","noUsgsAuthors":false,"publicationDate":"2019-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Shores, Carolyn R.","contributorId":254828,"corporation":false,"usgs":false,"family":"Shores","given":"Carolyn","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":811433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mikle, Nathaniel 0000-0002-6529-8210 nmikle@usgs.gov","orcid":"https://orcid.org/0000-0002-6529-8210","contributorId":177026,"corporation":false,"usgs":true,"family":"Mikle","given":"Nathaniel","email":"nmikle@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":811434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Tabitha A. 0000-0001-5145-2400 tgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":5898,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha","email":"tgraves@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":811435,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202370,"text":"70202370 - 2019 - Long-term nitrogen addition shifts the soil nematode community to bacterivore-dominated and reduces its ecological maturity in a subalpine forest","interactions":[],"lastModifiedDate":"2019-02-26T15:03:36","indexId":"70202370","displayToPublicDate":"2019-02-26T15:03:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3416,"text":"Soil Biology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Long-term nitrogen addition shifts the soil nematode community to bacterivore-dominated and reduces its ecological maturity in a subalpine forest","docAbstract":"<p><span>Nitrogen deposition from&nbsp;</span>anthropogenic sources<span>&nbsp;is a global problem that reaches even the most remote ecosystems. Responses belowground vary by ecosystem, and have feedbacks to geochemical processes, including&nbsp;carbon storage. A long-term nitrogen addition study in a&nbsp;subalpine forest&nbsp;has shown carbon loss over time, atypical for a&nbsp;forest ecosystem. Loss of&nbsp;microbial biomass&nbsp;is likely linked to lower&nbsp;soil carbon, but the mechanism behind this is still unknown. One possible explanation is through increased turnover due to&nbsp;grazing&nbsp;by&nbsp;soil fauna. Because&nbsp;nematodes&nbsp;occupy many&nbsp;trophic levels&nbsp;and are sensitive to trophic and environmental changes, assessing their communities helps reveal belowground responses. In this study, we tested the hypothesis that long-term nitrogen&nbsp;fertilization&nbsp;affects nematode&nbsp;community structure&nbsp;and maturity beneath&nbsp;coniferous forests&nbsp;in the Rocky Mountains, indicating a faster cycling, bacterial-driven system. We identified and enumerated nematodes by trophic group and family from experimental plots. Total nematode abundance was 40–96% greater in fertilized plots compared to the control, but richness, diversity, and ecological maturity were lower. The differences in abundance were driven by opportunistic&nbsp;bacterivores&nbsp;(e.g., Rhabditidae) and plant&nbsp;parasites&nbsp;(e.g., Tylenchidae), which made up 23 and 13% of the community in fertilized compared to 7 and 5% in control plots, respectively. Nematode maturity indices showed that the nematode&nbsp;food webwas enriched (indicating high nutrient/resource status) and structured (all trophic levels present, including long-lived predators) in both treatments, but significantly more enriched in the fertilized treatment. Nonmetric&nbsp;multidimensional scaling&nbsp;of the&nbsp;relative abundance&nbsp;of nematode families demonstrated that nematode community composition differed between treatments, driven largely by opportunistic bacterivores (e.g., Rhabditidae) in the fertilized plots. The mechanism of the aboveground–belowground link between nitrogen deposition and nematode community composition is likely through increased microbial turnover, and sustained high-quality food for microbial grazing nematodes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.soilbio.2018.12.007","usgsCitation":"Shaw, E.A., Boot, C.M., Moore, J.C., Wall, D.H., and Baron, J., 2019, Long-term nitrogen addition shifts the soil nematode community to bacterivore-dominated and reduces its ecological maturity in a subalpine forest: Soil Biology and Biochemistry, v. 130, p. 177-184, https://doi.org/10.1016/j.soilbio.2018.12.007.","productDescription":"8 p.","startPage":"177","endPage":"184","ipdsId":"IP-099642","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467869,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.soilbio.2018.12.007","text":"Publisher Index Page"},{"id":361560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shaw, E. Ashley","contributorId":213576,"corporation":false,"usgs":false,"family":"Shaw","given":"E.","email":"","middleInitial":"Ashley","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":758051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boot, Claudia M.","contributorId":213577,"corporation":false,"usgs":false,"family":"Boot","given":"Claudia","email":"","middleInitial":"M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":758052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, John C.","contributorId":213578,"corporation":false,"usgs":false,"family":"Moore","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":758053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wall, Diana H.","contributorId":213579,"corporation":false,"usgs":false,"family":"Wall","given":"Diana","email":"","middleInitial":"H.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":758054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":758050,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202376,"text":"70202376 - 2019 - Applying concepts of general resilience to large river ecosystems: A case study from the Upper Mississippi and Illinois rivers","interactions":[],"lastModifiedDate":"2019-02-26T15:01:06","indexId":"70202376","displayToPublicDate":"2019-02-26T15:01:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Applying concepts of general resilience to large river ecosystems: A case study from the Upper Mississippi and Illinois rivers","docAbstract":"<p><span>Large floodplain-river ecosystems are often highly modified to provide services that society desires, yet these modifications can limit an ecosystem’s ability to adapt to changing conditions. The adaptive capacity of an ecosystem, its general resilience, is a conceptual framework for considering how a system will respond to such changes. We sought to apply aspects of three general resilience principles (diversity and redundancy, connectivity, and controlling variables) to our understanding of floodplain-river ecosystem structure and function. We demonstrate the applicability of this approach in a case study of the Upper Mississippi River System (UMRS). In doing so, we developed ten indicators that highlight important structural and functional aspects of this floodplain-river ecosystem, and likely underlie the capacity of large rivers to cope with environmental change and disturbance. We developed diversity and redundancy indicators for aquatic habitats, patterns of floodplain inundation, and fish communities. Connectivity indicators included metrics of longitudinal and lateral connections. Controlling variable indicators included deviations from historic water surface elevation fluctuations, water clarity, nutrient concentrations, and aquatic invasive species. This set of indicators provides a simple description of the adaptive capacity of four distinct reaches of the UMRS: Upper Impounded, Lower Impounded, Unimpounded Reaches of the Upper Mississippi River and the entire Illinois River. High aquatic habitat diversity and redundancy, fish functional diversity and redundancy, and water clarity, and the scarcity of invasive fish species are all factors that likely contribute to the high general resilience of the Upper Impounded Reach. However, the limited longitudinal connectivity and establishment of a minimum water level for navigation are factors that may inhibit the general resilience of this reach. In the Lower Impounded Reach, there is high within-reach variability for individual indicators such as aquatic habitat diversity, fish functional diversity and redundancy, and longitudinal and lateral connectivity. In the Unimpounded Reach, a high degree of longitudinal connectivity likely enhances its general resilience, but low aquatic habitat diversity, low lateral connectivity, and relatively high number of invasive fish species inhibit general resilience. For the Illinois River Reach, the relatively high fish functional diversity and redundancy likely contributes to its general resilience, whereas high number of invasive fish species, low water clarity, low lateral connectivity, and high range of water levels may inhibit general resilience. Indicators derived from application of concepts of general resilience provide insight into the current coping capacity of the UMRS and identify opportunities for enhancing resilience.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.02.002","usgsCitation":"Bouska, K.L., Houser, J.N., De Jager, N.R., Van Appledorn, M., and Rogala, J.T., 2019, Applying concepts of general resilience to large river ecosystems: A case study from the Upper Mississippi and Illinois rivers: Ecological Indicators, v. 101, p. 1094-1110, https://doi.org/10.1016/j.ecolind.2019.02.002.","productDescription":"7 p.","startPage":"1094","endPage":"1110","ipdsId":"IP-099227","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":437559,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J8BBQ3","text":"USGS data release","linkHelpText":"Percentage of annual days that river stage exceeds 'open river' conditions for lock and dams on the Upper Mississippi River, 1985-2015"},{"id":361559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Mississippi River System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.31787109374999,\n              36.87962060502676\n            ],\n            [\n              -87.51708984375,\n              36.87962060502676\n            ],\n            [\n              -87.51708984375,\n              45.01141864227728\n            ],\n            [\n              -93.31787109374999,\n              45.01141864227728\n            ],\n            [\n              -93.31787109374999,\n              36.87962060502676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"101","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":758091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":758092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":758093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":758094,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rogala, James T. 0000-0002-1954-4097 jrogala@usgs.gov","orcid":"https://orcid.org/0000-0002-1954-4097","contributorId":2651,"corporation":false,"usgs":true,"family":"Rogala","given":"James","email":"jrogala@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":758095,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70201152,"text":"sir20185127 - 2019 - Escherichia coli and microbial source tracking marker concentrations in and near a constructed wetland in Maumee Bay State Park, Oregon, Ohio, 2015–16","interactions":[],"lastModifiedDate":"2019-02-27T11:58:30","indexId":"sir20185127","displayToPublicDate":"2019-02-26T14:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5127","displayTitle":"<i>Escherichia coli</i> and Microbial Source Tracking Marker Concentrations in and Near a Constructed Wetland in Maumee Bay State Park, Oregon, Ohio, 2015–16","title":"Escherichia coli and microbial source tracking marker concentrations in and near a constructed wetland in Maumee Bay State Park, Oregon, Ohio, 2015–16","docAbstract":"<p>Elevated <i>Escherichia coli</i> (<i>E. coli</i>) concentrations at the Maumee Bay State Park (MBSP) Lake Erie beach have resulted in frequent recreational water-quality advisories. After the construction of a wetland along Berger Ditch in Maumee Bay State Park, Oregon, Ohio, samples were collected and analyzed for concentrations of <i>E. coli</i> and microbial source tracking (MST) markers. This study was done by the U.S. Geological Survey, in cooperation with the University of Toledo, to provide data that can be used to help evaluate the effects of the wetland on water quality in MBSP. From July 2015 to February 2016, 116 samples were collected from six sites. Median GenBac (general marker) and <i>E. coli</i> concentrations were higher in samples from Berger Ditch sites than in samples from the wetland sites. No statistically significant difference was found between median <i>E. coli</i> concentrations in samples collected at Berger Ditch sites upstream and downstream from the wetland. The frequency of detection of the human-associated <i>Bacteroides</i> MST marker (HF183) decreased from 39 percent upstream from the wetland to 22 percent downstream from the wetland; however, the HF183 median concentrations from these two groups of samples were nearly the same (2,700 to 2,800 copies per 100 milliliters from upstream to downstream). The waterfowl-associated <i>Helicobacter</i> MST marker (GFD) was detected in 13 percent of samples from the Berger Ditch site upstream from the wetland, although it was not detected in samples from the Berger Ditch site downstream from the wetland. The ruminant-associated MST marker, Rum2Bac, was not detected at any site during this study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185127","collaboration":"Prepared in cooperation with the University of Toledo","usgsCitation":"Kephart, C.M., Brady, A.M.G., and Jackwood, R.W., 2019, Escherichia coli and microbial source tracking marker concentrations in and near a constructed wetland in Maumee Bay State Park, Oregon, Ohio, 2015–16: U.S. Geological Survey Scientific Investigations Report 2018–5127, 13 p., https://doi.org/10.3133/sir20185127.","productDescription":"v, 13 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-093044","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":361498,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5127/coverthb.jpg"},{"id":361499,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5127/sir20185127.pdf","text":"Report","size":"77.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5127"}],"country":"United States","state":"Ohio","city":"Oregon","otherGeospatial":"Lake Erie, Maumee Bay State Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.387003,41.678489 ], [ -83.387003,41.689931 ], [ -83.362584,41.689931 ], [ -83.362584,41.678489 ], [ -83.387003,41.678489 ] ] ] } } ] }","contact":"<p><a href=\"mailto:dc_oh@usgs.gov\" data-mce-href=\"mailto:dc_oh@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oki-water\" data-mce-href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a><br>U.S. Geological Survey<br>6460 Busch Blvd, Suite 100<br>Columbus, OH 43229</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods of Study</li><li>Quality Control Measures of Variability and Bias</li><li><em>Escherichia coli</em> and Microbial Source Tracking Marker Concentrations at Selected Sites Entering Maumee Bay, Lake Erie</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Concentrations of <em>Escherichia coli</em> and microbial source tracking markers at Berger Ditch, wetland, and Maumee Bay sites, Oregon, Ohio, 2015–16</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2019-02-26","noUsgsAuthors":false,"publicationDate":"2019-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brady, Amie M.G. 0000-0002-7414-0992 amgbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-7414-0992","contributorId":2544,"corporation":false,"usgs":true,"family":"Brady","given":"Amie","email":"amgbrady@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackwood, Ryan W. 0000-0003-4411-4643","orcid":"https://orcid.org/0000-0003-4411-4643","contributorId":210995,"corporation":false,"usgs":false,"family":"Jackwood","given":"Ryan","email":"","middleInitial":"W.","affiliations":[{"id":38164,"text":"University of Toledo PhD student","active":true,"usgs":false}],"preferred":false,"id":752944,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202367,"text":"70202367 - 2019 - Effects of life history and reproduction on recruitment time lags in reintroductions of rare plants","interactions":[],"lastModifiedDate":"2019-06-18T10:23:31","indexId":"70202367","displayToPublicDate":"2019-02-26T14:29:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of life history and reproduction on recruitment time lags in reintroductions of rare plants","docAbstract":"<p><span>Reintroductions are important components of conservation and recovery programs for rare plant species, but their long‐term success rates are poorly understood. Previous reviews of plant reintroductions focused on short‐term (e.g., ≤3 years) survival and flowering of founder individuals rather than on benchmarks of intergenerational persistence, such as seedling recruitment. However, short‐term metrics may obscure outcomes because the unique demographic properties of reintroductions, including small size and unstable stage structure, could create lags in population growth. We used time‐to‐event analysis on a database of unusually well‐monitored and long‐term (4–28 years) reintroductions of 27 rare plant species to test whether life‐history traits and population characteristics of reintroductions create time‐lagged responses in seedling recruitment (i.e., recruitment time lags [RTLs]), an important benchmark of success and indicator of persistence in reintroduced populations. Recruitment time lags were highly variable among reintroductions, ranging from &lt;1 to 17 years after installation. Recruitment patterns matched predictions from life‐history theory with short‐lived species (fast species) exhibiting consistently shorter and less variable RTLs than long‐lived species (slow species). Long RTLs occurred in long‐lived herbs, especially in grasslands, whereas short RTLs occurred in short‐lived subtropical woody plants and annual herbs. Across plant life histories, as reproductive adult abundance increased, RTLs decreased. Highly variable RTLs were observed in species with multiple reintroduction events, suggesting local processes are just as important as life‐history strategy in determining reintroduction outcomes. Time lags in restoration outcomes highlight the need to scale success benchmarks in reintroduction monitoring programs with plant life‐history strategies and the unique demographic properties of restored populations. Drawing conclusions on the long‐term success of plant reintroduction programs is premature given that demographic processes in species with slow life‐histories take decades to unfold.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13255","usgsCitation":"Albrecht, M.A., Osazuwa-Peters, O.L., Maschinski, J., Bell, T.J., Bowles, M.L., Brumback, W.E., Duquesnel, J., Kunz, M., Lange, J., McCue, K.A., McEachern, K., Murray, S., Olwell, P., Pavlovic, N.B., Peterson, C.L., Possley, J., Randall, J.L., and Wright, S.J., 2019, Effects of life history and reproduction on recruitment time lags in reintroductions of rare plants: Conservation Biology, v. 33, no. 3, p. 601-611, https://doi.org/10.1111/cobi.13255.","productDescription":"11 p.","startPage":"601","endPage":"611","ipdsId":"IP-093197","costCenters":[{"id":651,"text":"Western Ecological Research 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kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":758025,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Murray, Sheila","contributorId":213568,"corporation":false,"usgs":false,"family":"Murray","given":"Sheila","email":"","affiliations":[{"id":38798,"text":"The Arboretum at Flagstaff","active":true,"usgs":false}],"preferred":false,"id":758036,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Olwell, Peggy","contributorId":213569,"corporation":false,"usgs":false,"family":"Olwell","given":"Peggy","email":"","affiliations":[{"id":38799,"text":"Bureau of Land Management, Washington DC","active":true,"usgs":false}],"preferred":false,"id":758037,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":758038,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Peterson, Cheryl L.","contributorId":213570,"corporation":false,"usgs":false,"family":"Peterson","given":"Cheryl","email":"","middleInitial":"L.","affiliations":[{"id":38800,"text":"Bok Tower Gardens, Lake Wales, FL","active":true,"usgs":false}],"preferred":false,"id":758039,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Possley, Jennifer","contributorId":213571,"corporation":false,"usgs":false,"family":"Possley","given":"Jennifer","email":"","affiliations":[{"id":38796,"text":"Fairchild Tropical Botanic Garden, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":758040,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Randall, John L.","contributorId":213572,"corporation":false,"usgs":false,"family":"Randall","given":"John","email":"","middleInitial":"L.","affiliations":[{"id":38795,"text":"North Carolina Botanical Garden, The University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":758041,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wright, Samuel J.","contributorId":213573,"corporation":false,"usgs":false,"family":"Wright","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":38796,"text":"Fairchild Tropical Botanic Garden, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":758042,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70202363,"text":"70202363 - 2019 - Landsat: The cornerstone of global land imaging","interactions":[],"lastModifiedDate":"2019-02-26T14:23:49","indexId":"70202363","displayToPublicDate":"2019-02-26T14:23:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1720,"text":"GIM International","active":true,"publicationSubtype":{"id":10}},"title":"Landsat: The cornerstone of global land imaging","docAbstract":"Since 1972, the joint NASA/ U.S. Geological Survey Landsat series of Earth Observation satellites have provided an uninterrupted space-based data record of the Earth’s land surface to help advance scientific research towards the understanding of our planet and the environmental impact of its inhabitants. Early Landsat satellites offered a wealth of new data that improved mapping of remote areas and geologic features along with digital analysis of vegetation. The utility of Landsat’s spatial and spectral resolution has advanced its use for applications that benefit society such as global crop forecasting, forest monitoring, water use, carbon assessments, and the base for Google Maps. Landsat’s long-term data record provides an unrivaled resource for observing land cover and land-use change over a timescale of decades. The free and open Landsat data policy in 2008 was a paradigm shift for the world. Today, due to improved analytical and computing capabilities, the Landsat archive is poised to shift into a more real-time monitoring and understanding of the Earth.","language":"English","publisher":"GIM International Magazine","usgsCitation":"Butcher, G., Barnes, C., and Owen, L., 2019, Landsat: The cornerstone of global land imaging: GIM International, v. January/February 2019, p. 31-35.","productDescription":"5 p.","startPage":"31","endPage":"35","ipdsId":"IP-104692","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":361528,"type":{"id":15,"text":"Index Page"},"url":"https://www.gim-international.com/magazine/january-february-2019"},{"id":361555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"January/February 2019","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Butcher, Ginger","contributorId":213551,"corporation":false,"usgs":false,"family":"Butcher","given":"Ginger","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":758010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Christopher 0000-0002-4608-4364 christopher.barnes.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":198908,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher","email":"christopher.barnes.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":758009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Owen, Linda 0000-0002-1734-5406 jonescheit@usgs.gov","orcid":"https://orcid.org/0000-0002-1734-5406","contributorId":478,"corporation":false,"usgs":true,"family":"Owen","given":"Linda","email":"jonescheit@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":758011,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202378,"text":"70202378 - 2019 - Diurnal habitat selection of migrating Whooping Crane in the Great Plains","interactions":[],"lastModifiedDate":"2019-02-26T14:20:05","indexId":"70202378","displayToPublicDate":"2019-02-26T14:19:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Diurnal habitat selection of migrating Whooping Crane in the Great Plains","docAbstract":"<p><span>Available stopover habitats with quality foraging opportunities are essential for migrating waterbirds, including Whooping Crane (</span><i>Grus americana</i><span>). Several studies have evaluated habitats used by Whooping Crane for roosting throughout its migration corridor; however, habitats associated with foraging and other diurnal activities have received less attention. We used data collected from 42 Whooping Crane individuals that included 2169 diurnal use locations within 395 stopover sites evaluated during spring 2013 to fall 2015 to assess diurnal habitat selection throughout the U.S. portion of the migration corridor. We found that Whooping Crane selected wetland land-cover types (i.e., open water, riverine, and semipermanent wetlands) and lowland grasslands for diurnal activities over all other land-cover types that we evaluated, including croplands. Whooping Crane generally avoided roads, and avoidance varied based on land-cover class. There has been considerable alteration and destruction of natural wetlands and rivers that serve as roosting and foraging sites for migrating Whooping Crane. Given recent droughts and the likelihood of future landscape changes within the migration corridor, directing conservation efforts toward protecting and enhancing wetland stopover areas may prove critical for continued growth of the last remaining wild population of Whooping Crane. Future studies of this Whooping Crane population should focus on specific wetland complexes and riverine sites throughout the migration corridor to identify precise management actions that could be taken to enhance and protect these imperilled land-cover types.</span></p>","language":"English","publisher":"Avian Conservation and Ecology","doi":"10.5751/ACE-01317-140106","usgsCitation":"Baasch, D.M., Farrell, P.D., Pearse, A.T., Brandt, D.A., Caven, A.J., Harner, M.J., Wright, G.D., and Metzger, K.L., 2019, Diurnal habitat selection of migrating Whooping Crane in the Great Plains: Avian Conservation and Ecology, v. 14, no. 1, p. 1-14, https://doi.org/10.5751/ACE-01317-140106.","productDescription":"Article 6; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-099721","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467870,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-01317-140106","text":"Publisher Index Page"},{"id":361554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.5458984375,\n              29.34387539941801\n            ],\n            [\n              -94.482421875,\n              29.34387539941801\n            ],\n            [\n              -94.482421875,\n              48.980216985374994\n            ],\n            [\n              -104.5458984375,\n              48.980216985374994\n            ],\n            [\n              -104.5458984375,\n              29.34387539941801\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baasch, David M.","contributorId":147145,"corporation":false,"usgs":false,"family":"Baasch","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16795,"text":"Headwaters Corp, Kearney, NE","active":true,"usgs":false}],"preferred":false,"id":758103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farrell, Patrick D.","contributorId":212085,"corporation":false,"usgs":false,"family":"Farrell","given":"Patrick","email":"","middleInitial":"D.","affiliations":[{"id":36320,"text":"PRRIP","active":true,"usgs":false}],"preferred":false,"id":758104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":758102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, David A. 0000-0001-9786-307X dbrandt@usgs.gov","orcid":"https://orcid.org/0000-0001-9786-307X","contributorId":149929,"corporation":false,"usgs":true,"family":"Brandt","given":"David","email":"dbrandt@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":758105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caven, Andrew J.","contributorId":177586,"corporation":false,"usgs":false,"family":"Caven","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":758106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harner, Mary J.","contributorId":177584,"corporation":false,"usgs":false,"family":"Harner","given":"Mary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":758107,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, Greg D.","contributorId":177585,"corporation":false,"usgs":false,"family":"Wright","given":"Greg","email":"","middleInitial":"D.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":758108,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Metzger, Kristine L.","contributorId":147144,"corporation":false,"usgs":false,"family":"Metzger","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":16794,"text":"USFWS, Div of Biol Serv, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":758109,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70202386,"text":"70202386 - 2019 - Linking fire and the United Nations Sustainable Development Goals","interactions":[],"lastModifiedDate":"2019-02-26T14:16:05","indexId":"70202386","displayToPublicDate":"2019-02-26T14:16:02","publicationYear":"2019","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":"Linking fire and the United Nations Sustainable Development Goals","docAbstract":"<p><span>Fire is a ubiquitous natural disturbance that affects 3–4% of the&nbsp;Earth's surface&nbsp;each year. It is a tool used by humans for land clearing and burning of&nbsp;agricultural wastes. The&nbsp;United Nations&nbsp;Sustainable Development&nbsp;Goals (SDGs) do not explicitly mention fire, though many of the Goals are affected by the beneficial and adverse consequences of fires on ecosystem services. There are at least three compelling reasons to include a fire perspective in the implementation of the United Nations Sustainable Development Goals. The first reason relates to the stated vision of the United Nations 2030 Agenda to protect the environment. In order to achieve&nbsp;environmental protection&nbsp;during sustainable development activities, it is necessary to understand and plan for the effects of disturbances, in this case fire, on ecosystem services. The second reason is that fires produce emissions with regional and global impacts on air quality and rainfall patterns. Fires contribute to&nbsp;global warming&nbsp;though the release&nbsp;greenhouse gases, primarily CO</span><sub>2</sub><span>, and&nbsp;black carbon, identified as a SLCP (short-lived climate pollutant). The third reason is that fire is one of several complex processes that lead to&nbsp;land degradation&nbsp;across the globe. Opportunities exist to incorporate a fire perspective into sustainable development projects or approaches. Two examples are highlighted here. Transdisciplinary communication and collaboration are needed to address the complex issues related to fire, and to climate and&nbsp;land use change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.12.393","usgsCitation":"Martin, D.A., 2019, Linking fire and the United Nations Sustainable Development Goals: Science of the Total Environment, v. 662, p. 547-558, https://doi.org/10.1016/j.scitotenv.2018.12.393.","productDescription":"12 p.","startPage":"547","endPage":"558","ipdsId":"IP-103101","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":361553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"662","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, Deborah A. 0000-0001-8237-0838 damartin@usgs.gov","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":168662,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah","email":"damartin@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":758140,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202387,"text":"70202387 - 2019 - Disease‐structured N‐mixture models: A practical guide to model disease dynamics using count data","interactions":[],"lastModifiedDate":"2019-02-26T14:14:42","indexId":"70202387","displayToPublicDate":"2019-02-26T14:14:38","publicationYear":"2019","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":"Disease‐structured N‐mixture models: A practical guide to model disease dynamics using count data","docAbstract":"<p><span>Obtaining inferences on disease dynamics (e.g., host population size, pathogen prevalence, transmission rate, host survival probability) typically requires marking and tracking individuals over time. While multistate mark–recapture models can produce high‐quality inference, these techniques are difficult to employ at large spatial and long temporal scales or in small remnant host populations decimated by virulent pathogens, where low recapture rates may preclude the use of mark–recapture techniques. Recently developed&nbsp;</span><i>N</i><span>‐mixture models offer a statistical framework for estimating wildlife disease dynamics from count data.&nbsp;</span><i>N</i><span>‐mixture models are a type of state‐space model in which observation error is attributed to failing to detect some individuals when they are present (i.e., false negatives). The analysis approach uses repeated surveys of sites over a period of population closure to estimate detection probability. We review the challenges of modeling disease dynamics and describe how&nbsp;</span><i>N</i><span>‐mixture models can be used to estimate common metrics, including pathogen prevalence, transmission, and recovery rates while accounting for imperfect host and pathogen detection. We also offer a perspective on future research directions at the intersection of quantitative and disease ecology, including the estimation of false positives in pathogen presence, spatially explicit disease‐structured&nbsp;</span><i>N</i><span>‐mixture models, and the integration of other data types with count data to inform disease dynamics. Managers rely on accurate and precise estimates of disease dynamics to develop strategies to mitigate pathogen impacts on host populations. At a time when pathogens pose one of the greatest threats to biodiversity, statistical methods that lead to robust inferences on host populations are critically needed for rapid, rather than incremental, assessments of the impacts of emerging infectious diseases.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4849","usgsCitation":"DiRenzo, G.V., Che-Castaldo, C., Saunders, S.P., Campbell Grant, E.H., and Zipkin, E.F., 2019, Disease‐structured N‐mixture models: A practical guide to model disease dynamics using count data: Ecology and Evolution, v. 9, no. 2, p. 899-909, https://doi.org/10.1002/ece3.4849.","productDescription":"11 p.","startPage":"899","endPage":"909","ipdsId":"IP-099044","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467871,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4849","text":"Publisher Index Page"},{"id":361552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"DiRenzo, Graziella V.","contributorId":192177,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":758142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Che-Castaldo, Christian","contributorId":202588,"corporation":false,"usgs":false,"family":"Che-Castaldo","given":"Christian","email":"","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":758143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saunders, Sarah P.","contributorId":192752,"corporation":false,"usgs":false,"family":"Saunders","given":"Sarah","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":758144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":758141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zipkin, Elise F. 0000-0003-4155-6139","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":192755,"corporation":false,"usgs":false,"family":"Zipkin","given":"Elise","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":758145,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204682,"text":"70204682 - 2019 - Landscape and organismal factors affecting sagebrush-seedling transplant survival after megafire restoration","interactions":[],"lastModifiedDate":"2019-09-16T12:28:21","indexId":"70204682","displayToPublicDate":"2019-02-26T14:09:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape and organismal factors affecting sagebrush-seedling transplant survival after megafire restoration","docAbstract":"Larger and more frequent disturbances are motivating efforts to accelerate recovery of foundational perennial species by focusing efforts into establishing island patches to sustain keystone species and facilitate recovery of the surrounding plant community. Evaluating the variability in abiotic and biotic factors that contribute to differences in survival and establishment can provide useful insight into the relative importance of these factors. In the western United States, severe degradation of the sagebrush steppe has motivated substantial efforts to restore native perennial cover, but success has been mixed. In this study, we evaluated survival of >3000 sagebrush seedlings transplanted on 12 patches totaling of 650 ha within a 113,000 ha burn area, and related the survival to organismal and sub‐taxonomic traits, and to landscape variables. Big sagebrush has high intraspecific diversity attributed to subspecies and cytotypes identifiable through UV‐induced fluorescence, length:width of leaves, or genome size (ploidy). Of these organismal traits, survival was related only to UV fluorescence, and then only so when landscape variables were excluded from analyses. The most significant landscape variable affecting survival was soil taxonomic subgroup, with much lower survival where buried restrictive layers reduce deep water infiltration. Survival also decreased with greater slope steepness, exotic annual grass cover, and burn severity. Survival was optimal where perennial bunchgrasses comprised 8‐14% of total cover. These soil, topographic, and community condition factors revealed through monitoring of landscape‐level treatments can be used to explain the success of plantings and to strategically plan future restoration projects.","language":"English","publisher":"Wiley","doi":"10.1111/rec.12940","usgsCitation":"Davidson, B., Germino, M., Richardson, B., and Barnard, D., 2019, Landscape and organismal factors affecting sagebrush-seedling transplant survival after megafire restoration: Restoration Ecology, v. 27, no. 5, p. 1008-1020, https://doi.org/10.1111/rec.12940.","productDescription":"13 p.","startPage":"1008","endPage":"1020","ipdsId":"IP-102038","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":437560,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XMR9G9","text":"USGS data release","linkHelpText":"Survival data of transplanted sagebrush (Artemesia tridentata) seedlings in relation to vegetative, organismal, and topographic conditions after megafire"},{"id":366411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Davidson, Bill","contributorId":218014,"corporation":false,"usgs":true,"family":"Davidson","given":"Bill","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":768055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@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":768054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, Bryce 0000-0001-9521-4367","orcid":"https://orcid.org/0000-0001-9521-4367","contributorId":195702,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","email":"","affiliations":[],"preferred":false,"id":768056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, David","contributorId":218015,"corporation":false,"usgs":true,"family":"Barnard","given":"David","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":768057,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215598,"text":"70215598 - 2019 - Combining dynamic rupture simulations with ground motion data to characterize seismic hazard from Mw 3-5.8 earthquakes in Oklahoma and Kansas","interactions":[],"lastModifiedDate":"2020-10-25T18:39:00.821177","indexId":"70215598","displayToPublicDate":"2019-02-26T13:33:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Combining dynamic rupture simulations with ground motion data to characterize seismic hazard from Mw 3-5.8 earthquakes in Oklahoma and Kansas","docAbstract":"<p><span>Many seismically active areas suffer from a lack of near‐source ground‐motion recordings, making ground‐motion prediction difficult at distances within&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>40</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>km</mi></math>\"><span id=\"MathJax-Span-11\" class=\"math\"><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mo\">∼</span><span id=\"MathJax-Span-14\" class=\"mn\">40</span><span id=\"MathJax-Span-15\" class=\"mtext\">  </span><span id=\"MathJax-Span-16\" class=\"mi\">km</span></span></span></span><span class=\"MJX_Assistive_MathML\">∼40  km</span></span></span><span>&nbsp;from an earthquake. We aim to aid the development of near‐source ground‐motion prediction equations (GMPEs) by generating synthetic ground‐motion data via simulation. Building on previous work using point‐source moment tensor sources to simulate small (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-17\" class=\"math\"><span><span id=\"MathJax-Span-18\" class=\"mrow\"><span id=\"MathJax-Span-19\" class=\"msub\"><span id=\"MathJax-Span-20\" class=\"mi\">M</span><span id=\"MathJax-Span-21\" class=\"mi\">w</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">Mw</span></span></span><span>&nbsp;3–4) earthquakes for a target region encompassing north central Oklahoma and south central Kansas, we perform dynamic rupture simulations of earthquakes up to&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-22\" class=\"math\"><span><span id=\"MathJax-Span-23\" class=\"mrow\"><span id=\"MathJax-Span-24\" class=\"msub\"><span id=\"MathJax-Span-25\" class=\"mi\">M</span><span id=\"MathJax-Span-26\" class=\"mi\">w</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">Mw</span></span></span><span>&nbsp;5.8. We introduce complexity into the rupture process by adding stochastically generated heterogeneity to initial stress conditions. Our simulated ground‐motion data are added to a catalog of recorded ground‐motion data to construct a composite recorded‐simulated ground‐motion catalog that we use to develop a GMPE for the target region. This procedure can be generalized and used for GMPE development in other regions with near‐source ground‐motion data scarcity, which could directly benefit critical applications such as the National Seismic Hazard Maps produced by the U.S. Geological Survey (USGS).</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180042","usgsCitation":"Bydlon, S., Withers, K., and Dunham, E.M., 2019, Combining dynamic rupture simulations with ground motion data to characterize seismic hazard from Mw 3-5.8 earthquakes in Oklahoma and Kansas: Bulletin of the Seismological Society of America, v. 109, no. 2, p. 652-671, https://doi.org/10.1785/0120180042.","productDescription":"20 p.","startPage":"652","endPage":"671","ipdsId":"IP-104915","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":379727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.95361328125,\n              34.77771580360469\n            ],\n            [\n              -94.658203125,\n              34.77771580360469\n            ],\n            [\n              -94.658203125,\n              37.735969208590504\n            ],\n            [\n              -99.95361328125,\n              37.735969208590504\n            ],\n            [\n              -99.95361328125,\n              34.77771580360469\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"109","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bydlon, Samuel","contributorId":243985,"corporation":false,"usgs":false,"family":"Bydlon","given":"Samuel","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":802935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Withers, Kyle 0000-0001-7863-3930","orcid":"https://orcid.org/0000-0001-7863-3930","contributorId":203492,"corporation":false,"usgs":true,"family":"Withers","given":"Kyle","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":802936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Eric M.","contributorId":243986,"corporation":false,"usgs":false,"family":"Dunham","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":802937,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201177,"text":"sir20185145 - 2019 - Catchment-level estimates of nitrogen and phosphorus agricultural use from commercial fertilizer sales for the conterminous United States, 2012","interactions":[],"lastModifiedDate":"2019-02-27T11:51:29","indexId":"sir20185145","displayToPublicDate":"2019-02-26T12:06:29","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5145","displayTitle":"Catchment-Level Estimates of Nitrogen and Phosphorus Agricultural Use from Commercial Fertilizer Sales for the Conterminous United States, 2012","title":"Catchment-level estimates of nitrogen and phosphorus agricultural use from commercial fertilizer sales for the conterminous United States, 2012","docAbstract":"<p>Nutrient inputs from commercial agricultural fertilizer, particularly nitrogen and phosphorus, are important factors contributing to the degradation of surface-water quality and the alteration of aquatic ecosystems. Despite this importance, information about the application of fertilizer to agricultural land is not available in a consistent manner across the United States at a scale useful for regional water-quality assessment. To address this need, an approach is developed to relate commercial fertilizer sales to a set of explanatory variables using spatially referenced modeling methods. Spatially referenced modeling in this study refers to statistically relating fertilizer use, estimated from commercial fertilizer sales data, to spatially referenced data on watershed attributes. Separate models for nitrogen and phosphorus are developed to estimate elemental fertilizer use on agricultural lands for the conterminous United States at the National Hydrography Dataset Plus (NHDPlus) catchment scale for the year 2012. The approach builds on earlier efforts that use Association of American Plant Food Control Officials data on fertilizer sales to provide county-level estimates of nitrogen and phosphorus fertilizer use. The spatially referenced method improves on these efforts by allowing for varying nitrogen to phosphorus ratios at the catchment scale and expanding the set of variables used to allocate county-level sales data to the catchment scale. The models include catchment-level factors that are either primary determinants of fertilizer use, such as the acreage of different crop types, or measures reflecting the intensity of use, such as climate. Explanatory variables available only at the county scale, such as U.S. Department of Agriculture Census of Agriculture estimates of fertilizer expenditures, are included to improve the model predictions of elemental use. The nitrogen and phosphorus models explain more than 90 percent of the variation in elemental use at the state level, and the statistical approach allows for the estimation of uncertainty of predicted use in each catchment. The spatial patterns of model predictions reflect known agricultural cropping practices across the United States that transcend political boundaries, despite the county/state orientation of the fertilizer sales information. The results are expected to be useful for a variety of water-quality assessments that are intended to estimate nitrogen and phosphorus loads to streams.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185145","usgsCitation":"Stewart, J.S., Schwarz, G.E., Brakebill, J.W., and Preston, S.D., 2019, Catchment-level estimates of nitrogen and phosphorus agricultural use from commercial fertilizer sales for the conterminous United States, 2012: U.S. Geological Survey Scientific Investigations Report 2018–5145, 52 p., https://doi.org/10.3133/sir20185145.","productDescription":"Report: x, 52 p.; Data releases","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-092916","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":361425,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5145/sir20185145.pdf","text":"Report","size":"54.8 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    ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_wi@usgs.gov\" data-mce-href=\"mailto:dc_wi@usgs.gov\">Director</a>, <a href=\"https://wi.water.usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://wi.water.usgs.gov\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>8505 Research Way<br>Middleton, Wisconsin 53562</p>","tableOfContents":"<ul><li>Foreword</li><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Model Evaluation</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendixes 1–5</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-02-26","noUsgsAuthors":false,"publicationDate":"2019-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stewart, Jana S. 0000-0002-8121-1373 jsstewar@usgs.gov","orcid":"https://orcid.org/0000-0002-8121-1373","contributorId":539,"corporation":false,"usgs":true,"family":"Stewart","given":"Jana","email":"jsstewar@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":false,"id":753060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brakebill, John W. 0000-0001-9235-6810 jwbrakeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9235-6810","contributorId":1061,"corporation":false,"usgs":true,"family":"Brakebill","given":"John","email":"jwbrakeb@usgs.gov","middleInitial":"W.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Preston, Stephen D. 0000-0003-1515-6692 spreston@usgs.gov","orcid":"https://orcid.org/0000-0003-1515-6692","contributorId":1463,"corporation":false,"usgs":true,"family":"Preston","given":"Stephen","email":"spreston@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":753062,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70200931,"text":"ofr20181181 - 2019 - Shallow geology, sea-floor texture, and physiographic zones of the inner continental shelf from Aquinnah to Wasque Point, Martha’s Vineyard, and Eel Point to Great Point, Nantucket, Massachusetts","interactions":[],"lastModifiedDate":"2019-02-26T15:19:47","indexId":"ofr20181181","displayToPublicDate":"2019-02-26T11:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1181","displayTitle":"Shallow Geology, Sea-Floor Texture, and Physiographic Zones of the Inner Continental Shelf From Aquinnah to Wasque Point, Martha’s Vineyard, and Eel Point to Great Point, Nantucket, Massachusetts","title":"Shallow geology, sea-floor texture, and physiographic zones of the inner continental shelf from Aquinnah to Wasque Point, Martha’s Vineyard, and Eel Point to Great Point, Nantucket, Massachusetts","docAbstract":"A series of interpretive maps that describe the shallow geology, distribution, and texture of sea-floor sediments, and physiographic zones of the sea floor along the south and west shores of Martha’s Vineyard and the north shore of Nantucket, Massachusetts, were produced by using high-resolution geophysical data (interferometric and multibeam swath bathymetry, light detection and ranging (lidar) bathymetry, backscatter intensity, and seismic-reflection profiles), sediment samples, and bottom photographs. These interpretations are intended to aid statewide efforts to inventory and manage coastal and marine resources, link with existing data interpretations, and provide information for research focused on coastal evolution and environmental change. Marine geologic mapping of the inner continental shelf of Massachusetts is a statewide cooperative effort of the U.S. Geological Survey and the Massachusetts Office of Coastal Zone Management.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181181","collaboration":"Prepared in cooperation with the Massachusetts Office of Coastal Zone Management","usgsCitation":"Pendleton, E.A., Baldwin, W.E., Ackerman, S.D., Foster, D.S., Andrews, B.D., Schwab, W.C., and Brothers, L.L., 2019, Shallow geology, sea-floor texture, and physiographic zones of the inner continental shelf from Aquinnah to Wasque Point, Martha’s Vineyard, and Eel Point to Great Point, Nantucket, Massachusetts: U.S. Geological Survey Open-File Report 2018–1181, 37 p., https://doi.org/10.3133/ofr20181181.","productDescription":"vii, 37 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-098045","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361301,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1181/ofr20181181.pdf","text":"Report","size":"6.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1181"},{"id":361300,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1181/coverthb.jpg"},{"id":361304,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20151153","text":"Open-File Report 2015–1153","linkHelpText":"- Sea-Floor Texture and Physiographic Zones of the Inner Continental Shelf From Salisbury to Nahant, Massachusetts, Including the Merrimack Embayment and Western Massachusetts Bay"},{"id":361305,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20161119","text":"Open-File Report 2016–1119","linkHelpText":"- Shallow Geology, Sea-Floor Texture, and Physiographic Zones of Vineyard and Western Nantucket Sounds, Massachusetts"},{"id":361302,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20121157","text":"Open-File Report 2012–1157","linkHelpText":"- Shallow Geology, Seafloor Texture, and Physiographic Zones of the Inner Continental Shelf From Nahant to Northern Cape Cod Bay, Massachusetts"},{"id":361306,"rank":7,"type":{"id":18,"text":"Project Site"},"url":"https://www.usgs.gov/centers/whcmsc/science/geologic-mapping-massachusetts-seafloor","linkHelpText":"- Geologic Mapping of the Massachusetts Seafloor"},{"id":361307,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E9EFNE ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial Data Layers of Shallow Geology, Sea-Floor Texture, and Physiographic Zones from the Inner Continental Shelf of Martha’s Vineyard from Aquinnah to Wasque Point, and Nantucket from Eel Point to Great Point"},{"id":361303,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20141220","text":"Open-File Report 2014–1220","linkHelpText":"- Shallow Geology, Sea-Floor Texture, and Physiographic Zones of Buzzards Bay, Massachusetts"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.8915567398071,\n              41.19165717485481\n            ],\n            [\n              -70.0112771987915,\n              41.19165717485481\n            ],\n            [\n              -70.0112771987915,\n              41.428157138277015\n            ],\n            [\n              -70.8915567398071,\n              41.428157138277015\n            ],\n            [\n              -70.8915567398071,\n              41.19165717485481\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:WHSC_science_director@usgs.gov\" data-mce-href=\"mailto:WHSC_science_director@usgs.gov\">Director</a>, <a href=\"https://woodshole.er.usgs.gov\" data-mce-href=\"https://woodshole.er.usgs.gov\">Woods Hole Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>384 Woods Hole Road Quissett Campus<br>Woods Hole, MA 02543–1598</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Links to Geospatial Data Layers</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-02-26","noUsgsAuthors":false,"publicationDate":"2019-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Pendleton, Elizabeth A. 0000-0002-1224-4892 ependleton@usgs.gov","orcid":"https://orcid.org/0000-0002-1224-4892","contributorId":174845,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth","email":"ependleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":751368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, David S. 0000-0003-1205-0884 dfoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0884","contributorId":1320,"corporation":false,"usgs":true,"family":"Foster","given":"David","email":"dfoster@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrews, Brian D. 0000-0003-1024-9400 bandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-1024-9400","contributorId":201662,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian","email":"bandrews@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brothers, Laura L. 0000-0003-2986-5166 lbrothers@usgs.gov","orcid":"https://orcid.org/0000-0003-2986-5166","contributorId":176698,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura","email":"lbrothers@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751372,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70223376,"text":"70223376 - 2019 - Effects of salinity and light on growth and interspecific interactions between Myriophyllum spicatum L. and Ruppia maritima L.","interactions":[],"lastModifiedDate":"2021-08-26T13:19:07.548276","indexId":"70223376","displayToPublicDate":"2019-02-26T08:04:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":861,"text":"Aquatic Botany","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of salinity and light on growth and interspecific interactions between <i>Myriophyllum spicatum</i> L. and <i>Ruppia maritima</i> L.","title":"Effects of salinity and light on growth and interspecific interactions between Myriophyllum spicatum L. and Ruppia maritima L.","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\"><div id=\"abst0010\"><p id=\"spar0030\">Submerged macrophyte habitats provide significant benefits to estuarine systems. In southeast Louisiana,<span>&nbsp;</span><i>Myriophyllum spicatum</i><span>&nbsp;</span>L. (milfoil) and<span>&nbsp;</span><i>Ruppia maritima</i><span>&nbsp;</span>L. (widgeongrass) are dominant species existing across fresh to brackish areas. Though frequently co-occurring across the range of salinity and light conditions, their individual responses to changing environmental conditions from restoration, weather and climate may determine overall species distribution, and biomass abundance. We compared milfoil and widgeongrass growth (i.e., biomass increase) across a range of salinity and light, in monoculture (salinity: 0, 5, 10, 15, 20; light: high ˜ 50% ambient; low ˜ 20% ambient), and in mixture (salinity: 0, 10, 20; light: high, low). In monoculture, milfoil growth was reduced at high salinity (20) versus low salinity (0), while biomass allocation differed significantly with greater allocation to shoots under high light, compared to low light. Widgeongrass was minimally affected by salinity, with reduced stem densities at high salinity compared to low salinity. In mixture, both species under-yielded compared to monoculture with milfoil reduced with high salinity and light, and low salinity and light; widgeongrass under-yielded with low salinity and high light, and mid salinity (10) and low light. These differences in species’ responses suggest that salinity and light contribute to the distribution of milfoil and widgeongrass, with higher salinities and light favoring widgeongrass growth, and lower light possibly decreasing both species’ growth, and ultimately, distribution. With continued changes occurring and predicted from both coastal restoration and climate change, understanding drivers of habitat forming species remains critical to inform future landscapes.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquabot.2019.02.007","usgsCitation":"Hillman, E.R., and La Peyre, M., 2019, Effects of salinity and light on growth and interspecific interactions between Myriophyllum spicatum L. and Ruppia maritima L.: Aquatic Botany, v. 155, p. 25-31, https://doi.org/10.1016/j.aquabot.2019.02.007.","productDescription":"27 p.","startPage":"25","endPage":"31","ipdsId":"IP-102724","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":388476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"155","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hillman, E. R.","contributorId":264718,"corporation":false,"usgs":false,"family":"Hillman","given":"E.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":821889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821890,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202891,"text":"70202891 - 2019 - Toxicokinetics of imidacloprid-coated wheat seeds in Japanese quail (Coturnix japonica) and an evaluation of hazard","interactions":[],"lastModifiedDate":"2019-04-02T16:08:02","indexId":"70202891","displayToPublicDate":"2019-02-25T15:54:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Toxicokinetics of imidacloprid-coated wheat seeds in Japanese quail (<i>Coturnix japonica</i>) and an evaluation of hazard","title":"Toxicokinetics of imidacloprid-coated wheat seeds in Japanese quail (Coturnix japonica) and an evaluation of hazard","docAbstract":"Birds are potentially exposed to neonicotinoid insecticides by ingestion of coated seeds during crop planting. Adult male Japanese quail were orally dosed with wheat seeds coated with an imidacloprid (IMI) formulation at either 0.9 mg/kg body weight (BW) or 2.7 mg/kg BW (~3 and 9% of IMI LD50 for Japanese quail, respectively) for 1 or 10 days. Quail were euthanized between 1 and 24 h post-exposure to assess toxicokinetics. Analysis revealed rapid absorption (1 h) into blood, and distribution to brain, muscle, kidney and liver. Clearance to below detection limits occurred at both dose levels and exposure durations in all tissues within 24 h. Metabolism was extensive, with 5-OH-IMI and IMI-olefin detected at greater concentrations than IMI in tissues and fecal samples. There was no lethality or overt signs of toxicity at either dose level.  Furthermore, no evidence of enhanced expression of mRNA genes associated with hepatic xenobiotic metabolism, oxidative DNA damage or alterations in concentrations of corticosterone and thyroid hormones was observed.  Application of the toxicokinetic data was used to predict IMI residue levels in liver with reasonable results for some field exposure and avian mortality events.  It would appear that some affected species are either consuming larger quantities of seeds or exhibit differences in ADME or sensitivity than predicted by read-across from these data.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.8b07062","usgsCitation":"Bean, T.G., Gross, M.S., Karouna-Renier, N., Henry, P.F., Schultz, S.L., Hladik, M.L., Kuivila, K., and Rattner, B.A., 2019, Toxicokinetics of imidacloprid-coated wheat seeds in Japanese quail (Coturnix japonica) and an evaluation of hazard: Environmental Science & Technology, v. 53, no. 7, p. 3888-3897, https://doi.org/10.1021/acs.est.8b07062.","productDescription":"10 p. ","startPage":"3888","endPage":"3897","ipdsId":"IP-104159","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":437561,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H5T2MV","text":"USGS data release","linkHelpText":"Toxicokinetics of imidacloprid-coated wheat seeds in Japanese quail (Coturnix coturnix) and an assessment of risk"},{"id":362670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Bean, Thomas G. 0000-0002-3577-1994 tbean@usgs.gov","orcid":"https://orcid.org/0000-0002-3577-1994","contributorId":205287,"corporation":false,"usgs":false,"family":"Bean","given":"Thomas","email":"tbean@usgs.gov","middleInitial":"G.","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":760405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Michael S. 0000-0002-2433-166X","orcid":"https://orcid.org/0000-0002-2433-166X","contributorId":213604,"corporation":false,"usgs":true,"family":"Gross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schultz, Sandra L. 0000-0003-3394-2857 sschultz@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-2857","contributorId":5966,"corporation":false,"usgs":true,"family":"Schultz","given":"Sandra","email":"sschultz@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760410,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":190790,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760411,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760404,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70202722,"text":"70202722 - 2019 - Effects of nest exposure and spring temperatures on golden eagle brood survival: An opportunity for mitigation","interactions":[],"lastModifiedDate":"2019-03-21T16:34:14","indexId":"70202722","displayToPublicDate":"2019-02-25T13:58:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of nest exposure and spring temperatures on golden eagle brood survival: An opportunity for mitigation","docAbstract":"<p><span>We examined Golden Eagle (</span><i>Aquila chrysaetos</i><span>) brood survival in relation to spring temperatures and exposure of nests to afternoon sun in southwestern Idaho from 1970 through 2012. Most (77%) nests classified as shaded in a subset of 96 nests had northwest to east aspects, and most (71%) nests classified as exposed had south to west aspects. We analyzed survival of 1154 Golden Eagle broods in 64 territories. Golden Eagle brood survival at shaded and exposed nests did not differ when the daily maximum temperature was &lt;32.2°C. Survival in exposed nests declined as the number of days with maximum temperature ≥32.2°C increased, but survival in shaded nests did not change. All broods survived from hatching to fledging age in eight exposed nests with artificial shade structures installed over a 6-yr period. During the same period, 7 of 42 broods in nests without shade structures failed to reach fledging age, with two failures (29%) attributed to thermal stress. Use of artificial shade structures in exposed nests may reduce or prevent mortality caused by heat stress, and thus might be a potential tool for mitigation of “take” from anthropogenic structures and activities. Additional experimentation under an adaptive management framework could provide more information about the effectiveness of using shade structures to offset nestling mortality associated with increasing temperatures predicted by climate change models.</span></p>","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-17-100","usgsCitation":"Kochert, M.N., Steenhof, K., and Brown, J.L., 2019, Effects of nest exposure and spring temperatures on golden eagle brood survival: An opportunity for mitigation: Journal of Raptor Research, v. 53, no. 1, p. 91-97, https://doi.org/10.3356/JRR-17-100.","productDescription":"7 p.","startPage":"91","endPage":"97","ipdsId":"IP-093510","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":362249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":" Morley Nelson Snake River Birds of Prey National Conservation Area ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.33148193359375,\n              43.100982876188546\n            ],\n            [\n              -116.01287841796874,\n              43.100982876188546\n            ],\n            [\n              -116.01287841796874,\n              43.27320591705845\n            ],\n            [\n              -116.33148193359375,\n              43.27320591705845\n            ],\n            [\n              -116.33148193359375,\n              43.100982876188546\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"53","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","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":759650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":203439,"corporation":false,"usgs":false,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[],"preferred":false,"id":759651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Jessi L.","contributorId":44817,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","email":"","middleInitial":"L.","affiliations":[{"id":13184,"text":"Program in Ecology, Evolution and Conservation Biology, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":759652,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202342,"text":"70202342 - 2019 - Spatial distribution of band recoveries of black brant","interactions":[],"lastModifiedDate":"2019-02-25T13:51:26","indexId":"70202342","displayToPublicDate":"2019-02-25T13:51:23","publicationYear":"2019","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":"Spatial distribution of band recoveries of black brant","docAbstract":"<p><span>On average, band recovery rates of adult black brant (</span><i>Branta bernicla nigricans</i><span>) more than doubled between the 2000s and 2010s. However, the spatial distribution of band recoveries of black brant has not been reported. Our objective was to describe the spatial distribution of band recoveries of black brant since 1990. We found that Alaska, California, and Mexico accounted for ≥89% of band recoveries for black brant released from the Arctic and the Tutakoke River Colony in southwestern Alaska, in each decade studied. Although recovery rates increased in each major harvest region from the 1990s to 2010s, increases were not even. For brant released from the Arctic, the recovery rate in Alaska has gone up 7‐fold, whereas the recovery rate in Mexico has increased 1.3‐fold since the 1990s. For brant banded in the Arctic, the increased recovery rates in Alaska resulted largely from a rise in recoveries from the Izembek Lagoon area. For brant banded at the Tutakoke River Colony, the recovery rate in Alaska increased 4.8‐fold, whereas recovery rates in Mexico increased 1.6‐fold. Despite the reduced relative contribution of Mexico to band recoveries in the 2010s, Bahia San Quintin, Mexico, still contributes more recoveries than any other wintering estuary. Because 57–60% of black brant band recoveries occur at the localities of Izembek Lagoon, Alaska; Humboldt Bay, California; and Bahia San Quintin, it is likely that accurate annual estimates of the black brant population using Lincoln's method could be derived from hunter bag checks at these 3 areas. If population managers are interested in managing harvest rates of black brant, they could focus efforts on the main hunting areas we highlight in this paper. Finally, it is unclear if the recent increases in band recovery rates are the result of increased harvest, a declining population, or both; therefore, we suggest refinement of population monitoring programs and continued monitoring of band recovery rates.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21595","usgsCitation":"Leach, A.G., Ward, D.H., Sedinger, J.S., Riecke, T., Hupp, J.W., and Ritchie, R.J., 2019, Spatial distribution of band recoveries of black brant: Journal of Wildlife Management, v. 83, no. 2, p. 304-311, https://doi.org/10.1002/jwmg.21595.","productDescription":"8 p.","startPage":"304","endPage":"311","ipdsId":"IP-097341","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":361506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Leach, Alan G.","contributorId":203591,"corporation":false,"usgs":false,"family":"Leach","given":"Alan","email":"","middleInitial":"G.","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":757931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":757930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":757932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riecke, Thomas V.","contributorId":171482,"corporation":false,"usgs":false,"family":"Riecke","given":"Thomas V.","affiliations":[],"preferred":false,"id":757933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":757934,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ritchie, Robert J.","contributorId":203595,"corporation":false,"usgs":false,"family":"Ritchie","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":36669,"text":"ABR, Inc.—Environmental Research & Services","active":true,"usgs":false}],"preferred":false,"id":757935,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202362,"text":"70202362 - 2019 - Modeling riparian restoration impacts on the hydrologic cycle at the Babacomari Ranch, SE Arizona, USA","interactions":[],"lastModifiedDate":"2019-02-25T13:49:06","indexId":"70202362","displayToPublicDate":"2019-02-25T13:49:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Modeling riparian restoration impacts on the hydrologic cycle at the Babacomari Ranch, SE Arizona, USA","docAbstract":"<p><span>This paper describes coupling field experiments with surface and groundwater modeling to investigate rangelands of SE Arizona, USA using erosion-control structures to augment shallow and deep aquifer recharge. We collected field data to describe the physical and hydrological properties before and after gabions (caged riprap) were installed in an ephemeral channel. The modular finite-difference flow model is applied to simulate the amount of increase needed to raise groundwater levels. We used the average increase in infiltration measured in the field and projected on site, assuming all infiltration becomes recharge, to estimate how many gabions would be needed to increase recharge in the larger watershed. A watershed model was then applied and calibrated with discharge and 3D terrain measurements, to simulate flow volumes. Findings were coupled to extrapolate simulations and quantify long-term impacts of riparian restoration. Projected scenarios demonstrate how erosion-control structures could impact all components of the annual water budget. Results support the potential of watershed-wide gabion installation to increase total aquifer recharge, with models portraying increased subsurface connectivity and accentuated lateral flow contributions.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w11020381","usgsCitation":"Norman, L., Callegary, J.B., Lacher, L., Wilson, N., Fandel, C., Forbes, B.T., and Swetnam, T., 2019, Modeling riparian restoration impacts on the hydrologic cycle at the Babacomari Ranch, SE Arizona, USA: Water, v. 11, no. 2, p. 1-20, https://doi.org/10.3390/w11020381.","productDescription":"Article 381; 20 p.","startPage":"1","endPage":"20","ipdsId":"IP-090323","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w11020381","text":"Publisher Index Page"},{"id":361505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Babacomari Ranch","volume":"11","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":757998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lacher, Laurel","contributorId":213547,"corporation":false,"usgs":false,"family":"Lacher","given":"Laurel","affiliations":[{"id":38785,"text":"Lacher Hydrological Consulting, Tucson, AZ 85719","active":true,"usgs":false}],"preferred":false,"id":758000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Natalie R. 0000-0001-5145-1221","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":202534,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":758001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fandel, Chloé","contributorId":213548,"corporation":false,"usgs":false,"family":"Fandel","given":"Chloé","affiliations":[{"id":38786,"text":"University of Arizona, Hydrology and Water Resources, Tucson, AZ 85719","active":true,"usgs":false}],"preferred":false,"id":758002,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Forbes, Brandon T. 0000-0003-4051-0593 bforbes@usgs.gov","orcid":"https://orcid.org/0000-0003-4051-0593","contributorId":213549,"corporation":false,"usgs":true,"family":"Forbes","given":"Brandon","email":"bforbes@usgs.gov","middleInitial":"T.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758003,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swetnam, Tyson","contributorId":213550,"corporation":false,"usgs":false,"family":"Swetnam","given":"Tyson","email":"","affiliations":[{"id":38787,"text":"University of Arizona , BIO5 Institute, Tucson, AZ 85719","active":true,"usgs":false}],"preferred":false,"id":758004,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202721,"text":"70202721 - 2019 - Using motion-activated cameras to study diet and productivity of cliff-nesting Golden Eagles","interactions":[],"lastModifiedDate":"2019-03-21T13:57:22","indexId":"70202721","displayToPublicDate":"2019-02-25T13:47:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Using motion-activated cameras to study diet and productivity of cliff-nesting Golden Eagles","docAbstract":"Studies of cliff-nesting raptors can be challenging because direct observations of nest\ncontents are difficult. Our goals were to develop a protocol for installing motionactivated\ntrail cameras at Golden Eagle (Aquila chrysaetos) nests to record diet\ninformation and productivity, and to estimate prey detection probability using different\ndiet study methods. In 2014 and 2015, we installed cameras at 12 Golden Eagle nests\nwith 18—42 d old nestlings. Following installation, we monitored adult behavior from\ndirect observation and post-installation image review. At two nests, adult eagles did\nnot return to nests or exhibited behaviors suggesting avoidance of the cameras, but\nreturned to the nests after cameras were removed. We visited the ten remaining nests\nevery 4 d to collect prey remains and pellets to generate prey-specific detection\nestimates for both images, and prey remains and pellets. Compared to inspection of\nprey remains and pellets, cameras recorded twice the number of prey (622 vs. 316),\nwere more likely to detect the smallest and largest prey, and cost half as much.\nCameras recorded productivity, fledging dates, and in one case, a nestling death. Trail\ncameras may be a reliable and cost-effective option to address clearly defined\nresearch goals and obtain required information about eagle behavior and nest\ncontents. However, cameras should be used judiciously because installation creates a\npersistent manipulation at the nest. Camera appearance should be minimized, and\npost-installation monitoring that allows for timely responses to nest avoidance behavior\nby adult eagles is important to prevent adverse effects on nesting success.","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-18-26","usgsCitation":"Harrison, J., Kochert, M.N., Pauli, B.P., and Heath, J.A., 2019, Using motion-activated cameras to study diet and productivity of cliff-nesting Golden Eagles: Journal of Raptor Research, v. 53, no. 1, p. 26-37, https://doi.org/10.3356/JRR-18-26.","productDescription":"12 p.","startPage":"26","endPage":"37","ipdsId":"IP-102039","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":460461,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-18-26","text":"Publisher Index Page"},{"id":362248,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Morley Nelson Snake River Birds of Prey National Conservation Area ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.33148193359375,\n              43.100982876188546\n            ],\n            [\n              -116.01287841796874,\n              43.100982876188546\n            ],\n            [\n              -116.01287841796874,\n              43.27320591705845\n            ],\n            [\n              -116.33148193359375,\n              43.27320591705845\n            ],\n            [\n              -116.33148193359375,\n              43.100982876188546\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"53","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harrison, Jordan","contributorId":214329,"corporation":false,"usgs":false,"family":"Harrison","given":"Jordan","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":759647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","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":759646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pauli, Benjamin P.","contributorId":214330,"corporation":false,"usgs":false,"family":"Pauli","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":759648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heath, Julie A.","contributorId":192842,"corporation":false,"usgs":false,"family":"Heath","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":759649,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202345,"text":"70202345 - 2019 - Optimizing historic preservation under climate change: Decision support for cultural resource adaptation planning in national parks","interactions":[],"lastModifiedDate":"2019-02-25T13:44:39","indexId":"70202345","displayToPublicDate":"2019-02-25T13:44:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2599,"text":"Land Use Policy","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing historic preservation under climate change: Decision support for cultural resource adaptation planning in national parks","docAbstract":"<p><span>Climate change&nbsp;poses great challenges for&nbsp;cultural resource&nbsp;management, particularly in coastal areas. Cultural resources, such as&nbsp;historic buildings, in coastal areas are vulnerable to&nbsp;climate impacts&nbsp;including inundation,&nbsp;</span>deterioration<span>, and destruction from&nbsp;sea-level&nbsp;rise and storm-related flooding and erosion. However, research that assesses the trade-offs between actions for protecting vulnerable and valuable cultural resources under budgetary constraints is limited. This study focused on developing a decision support model for managing historic buildings at Cape Lookout National Seashore. We designed the Optimal Preservation Decision Support (OptiPres) model to: (a) identify optimal, annual adaptation actions for historic buildings across a 30-year planning horizon, (b) quantify trade-offs between different actions and the timing of adaptation actions under constrained budgets, and (c) estimate the effectiveness of budget&nbsp;allocations&nbsp;on the resource value of historic buildings. Our analysis of the model suggests that: (1) funding allocation thresholds may exist for&nbsp;national parks&nbsp;to maintain the historical significance and use potential of historic buildings under climate change, (2) the quantitative assessment of trade-offs among alternative adaptation actions provides generalizable guidance for decision makers about the dynamics of their managed system, and (3) the OptiPres model can identify cost-efficient approaches to allocate funding to maintain the historical value of buildings vulnerable to the effects of climate change. Therefore, the OptiPres model, while not designed as a prescriptive decision tool, allows managers to understand the consequences of proposed adaptation actions. The OptiPres model can guide park managers to make cost-effective climate adaptation decisions for historic buildings more transparently and robustly.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.landusepol.2019.02.011","usgsCitation":"Xiao, X., Seekamp, E., Post van der Burg, M., Eaton, M.J., Fatoric, S., and McCreary, A., 2019, Optimizing historic preservation under climate change: Decision support for cultural resource adaptation planning in national parks: Land Use Policy, v. 83, p. 379-389, https://doi.org/10.1016/j.landusepol.2019.02.011.","productDescription":"11 p.","startPage":"379","endPage":"389","ipdsId":"IP-102168","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":467873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landusepol.2019.02.011","text":"Publisher Index Page"},{"id":361504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xiao, Xiao","contributorId":212835,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiao","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":757944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seekamp, Erin","contributorId":212832,"corporation":false,"usgs":false,"family":"Seekamp","given":"Erin","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":757945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":757946,"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":757943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fatoric, Sandra","contributorId":212834,"corporation":false,"usgs":false,"family":"Fatoric","given":"Sandra","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":757947,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCreary, Allie","contributorId":212836,"corporation":false,"usgs":false,"family":"McCreary","given":"Allie","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":757948,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202357,"text":"70202357 - 2019 - Modeling δ18O as an early indicator of regime shift arising from salinity stress in coastal vegetation","interactions":[],"lastModifiedDate":"2019-06-18T10:22:04","indexId":"70202357","displayToPublicDate":"2019-02-25T13:41:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Modeling δ<sup>18</sup>O as an early indicator of regime shift arising from salinity stress in coastal vegetation","title":"Modeling δ18O as an early indicator of regime shift arising from salinity stress in coastal vegetation","docAbstract":"<p><span>In many important coastal habitats, a combination of increasing soil salinization due to sea level rise, reduced precipitation and storm surges may induce regime shift from salinity-intolerant glycophytic vegetation to salinity-tolerant halophytic species. Early detection of regime shift due to salinity stress in vegetation may facilitate conservation efforts. It has been shown that the&nbsp;</span><sup>18</sup><span>O value of water in the xylem of trees can be used as a surrogate for salinity in the rooting zone of plants. Coupling measured δ</span><sup>18</sup><span>O values in the tree xylem with simulated δ</span><sup>18</sup><span>O values in trees and salinity in the vadose zone can be used to investigate competitive responses of glycophytic versus halophytic trees. MANTRA-O18 simulations suggest that the impacts of salinization on diminishing the resilience of salinity-intolerant trees can be detected up to 25&nbsp;years before the glycophytic trees are threatened with regime shift to halophytic species. This early detection provides critical lead time and valuable information and insights useful for planning adaptation strategy to mitigate against the adverse impacts of sea level rise and climate change.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-019-01930-3","usgsCitation":"Teh, S.Y., Koh, H.L., DeAngelis, D.L., Voss, C.I., and da Silveira Lobo Sternberg, L., 2019, Modeling δ18O as an early indicator of regime shift arising from salinity stress in coastal vegetation: Hydrogeology Journal, v. 27, no. 4, p. 1257-1276, https://doi.org/10.1007/s10040-019-01930-3.","productDescription":"10 p.","startPage":"1257","endPage":"1276","ipdsId":"IP-095257","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":361502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Teh, Su Yean","contributorId":202650,"corporation":false,"usgs":false,"family":"Teh","given":"Su","email":"","middleInitial":"Yean","affiliations":[{"id":36510,"text":"School of Mathematicla Sciences, Universiti Sains Malaysia","active":true,"usgs":false}],"preferred":false,"id":757975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koh, Hock Lye","contributorId":202651,"corporation":false,"usgs":false,"family":"Koh","given":"Hock","email":"","middleInitial":"Lye","affiliations":[{"id":36511,"text":"Sunway University Business School, Jalan Universiti, Malaysia","active":true,"usgs":false}],"preferred":false,"id":757976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":757974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":757977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"da Silveira Lobo Sternberg, Leonel","contributorId":206740,"corporation":false,"usgs":false,"family":"da Silveira Lobo Sternberg","given":"Leonel","email":"","affiliations":[{"id":13532,"text":"Department of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":757978,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202324,"text":"fs20193007 - 2019 - The Earth Mapping Resources Initiative (Earth MRI): Mapping the Nation’s critical mineral resources","interactions":[],"lastModifiedDate":"2019-09-13T13:31:42","indexId":"fs20193007","displayToPublicDate":"2019-02-25T11:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3007","displayTitle":"The Earth Mapping Resources Initiative (Earth MRI): Mapping the Nation’s Critical Mineral Resources","title":"The Earth Mapping Resources Initiative (Earth MRI): Mapping the Nation’s critical mineral resources","docAbstract":"<p>The Earth Mapping Resources Initiative (Earth MRI; formerly known as 3DEEP) is planned as a partnership between the U.S. Geological Survey (USGS), the Association of American State Geologists (AASG), and other Federal, State, and private-sector organizations. The goal of the effort is to improve our knowledge of the geologic framework in the United States and to identify areas that have the potential to contain undiscovered critical mineral resources. Enhancement of our domestic mineral supply will decrease our reliance on foreign sources of minerals that are fundamental to the Nation’s security and economy.</p><p>The intent of Earth MRI is to leverage the USGS’s existing relationships with States and the private sector to conduct state-of-the-art geologic mapping and airborne geophysical and topographic (lidar) surveys. Analyses of these datasets could point to potential buried critical mineral deposits.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193007","collaboration":"Prepared in cooperation with the Association of American State Geologists","usgsCitation":"Day, W.C., 2019, The Earth Mapping Resources Initiative (Earth MRI)—Mapping the Nation’s critical mineral resources (ver. 1.2, September 2019): U.S. Geological Survey Fact Sheet 2019–3007, 2 p., https://doi.org/10.3133/fs20193007.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-104191","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":495296,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13XHP2X","text":"USGS data release","linkHelpText":"Airborne magnetic and radiometric survey over Puerto Rico and the Surrounding Islands and Shelf, 2023-2024"},{"id":437563,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D3FQWZ","text":"USGS data release","linkHelpText":"Magnetic susceptibility and density measurements in the Wet Mountains, Colorado, 2022 to 2023"},{"id":437562,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98CW91W","text":"USGS data release","linkHelpText":"Airborne Magnetic Survey, Michigan Upper Peninsula Area, 2008"},{"id":367306,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3007/fs20193007.pdf","text":"Report","size":"8.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3007"},{"id":367308,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2019/3007/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"}},{"id":367305,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3007/coverthb.jpg"}],"edition":"Version 1.2: September 2019; Version 1.1: March  2019; Version 1.0: February  2019","contact":"<p><a href=\"https://minerals.usgs.gov/\" data-mce-href=\"https://minerals.usgs.gov/\">Mineral Resources Program</a><br>U.S. Geological Survey<br>913 National Center<br>12201 Sunrise Valley Drive <br>Reston, VA 20192<br>Email: <a href=\"mailto:Minerals@usgs.gov\" data-mce-href=\"mailto:Minerals@usgs.gov\">Minerals@usgs.gov</a><br>URL: <a href=\"https://www.usgs.gov/special-topic/earthmri\" data-mce-href=\"https://www.usgs.gov/special-topic/earthmri\">https://www.usgs.gov/special-topic/earthmri</a></p>","tableOfContents":"<ul><li>What is Earth MRI?</li><li>Why is Earth MRI Needed?</li><li>First Steps in Implementing Earth MRI</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-02-25","revisedDate":"2019-09-12","noUsgsAuthors":false,"publicationDate":"2019-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":757836,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70201894,"text":"ofr20191001 - 2019 - Coagulant and sorbent efficacy in removing mercury from surface waters in the Cache Creek watershed, California","interactions":[],"lastModifiedDate":"2019-02-26T15:10:47","indexId":"ofr20191001","displayToPublicDate":"2019-02-25T10:44:31","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1001","displayTitle":"Coagulant and Sorbent Efficacy in Removing Mercury from Surface Waters in the Cache Creek Watershed, California","title":"Coagulant and sorbent efficacy in removing mercury from surface waters in the Cache Creek watershed, California","docAbstract":"<p>Cache Creek drains part of northern California’s Coast Ranges and is an important source of mercury (Hg) to the Sacramento–San Joaquin Delta. Cache Creek is contaminated with Hg from several sources, including historical Hg and gold mines, native Hg in the soils, and active mineral springs. In laboratory experiments in a study conducted by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, the use of coagulants and sorbents to immobilize Hg in water samples from high-concentration sources in the Cache Creek watershed was investigated. Three sites were selected for the collection of surface-water samples containing high and low concentrations of particulate-associated Hg. The high-particulate Hg samples were collected from Cache Creek Settling Basin during stormflow conditions. The low-particulate Hg samples were collected from two geochemically contrasting sites during base-flow conditions (downstream from a geothermal spring and at the emergence point of a connate-water spring). Three coagulants were chosen for laboratory testing with the high-particulate sample— (1) ChitoVan<sup>TM</sup> HV 1.5 percent (shell based), (2) Ferralyte<sup>TM</sup> 8131 (ferric sulfate based), and (3) Ultrion<sup>TM</sup> 8186 (aluminum based). Each coagulant was tested at various dose amounts to determine the optimum dose rate for the high-particulate sample. The low-particulate source samples were passed through three sorbents—(1) chitosan flakes, (2) coconut shell-based activated carbon, and (3) coal-based activated carbon. In-line columns were packed with each material, and the untreated sample was passed through each column at three different flow rates (0.1, 0.5, and 1.0 liter per minute, L/min).</p><p>For dose rates used in this study, ChitoVan<sup>TM</sup> reduced turbidity of the particulate sample by 85–91 percent, FerralyteTM reduced turbidity by 54–93 percent, and Ultrion<sup>TM</sup> reduced turbidity by greater than 90 percent. At the lowest dose rate, ChitoVan<sup>TM</sup> achieved a 59- to 61-percent reduction in whole-water methylmercury (MeHg) concentrations and a 71- to 75-percent decrease in whole-water total mercury (THg) concentrations. Ferralyte<sup>TM</sup> achieved a 37- to 48-percent decrease in whole-water MeHg concentrations and a 37- to 48-percent reduction in whole-water THg concentrations. Ultrion<sup>TM</sup> achieved a greater than 90-percent decrease in whole-water MeHg and THg concentrations.</p><p>Mercury removal from the low-particulate samples was less efficient for the sorbent materials compared to the coagulants; less than 30 percent of THg was removed from any 500-milliliter aliquot using sorbent materials. The coal-based sorbent was the most versatile of the sorbents, removing THg to a similar extent from both low-particulate source waters. The chitosan sorbent was the most effective at removing THg from the low-particulate stream sample, but less effective for the low-particulate connate-spring sample. The Hg removal efficiency of the coconut sorbent decreased quickly compared to the other two sorbents, indicating that sorption may be limited by the short contact times evaluated in this study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191001","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"De Parsia, E.R., Fleck, J.A., Krabbenhoft, D.P., Hoang, K., Roth, D., and Randall, P., 2019, Coagulant and sorbent efficacy in removing mercury from surface waters in the Cache Creek watershed, California: U.S. Geological Survey Open-File Report 2019–1001, 46 p., https://doi.org/10.3133/ofr20191001. ","productDescription":"viii, 46 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-096117","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":361413,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1001/ofr20191001.pdf","text":"Report","size":"2.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1001"},{"id":361412,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1001/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Cache Creek Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123,\n              38\n            ],\n            [\n              -121.5,\n              38\n            ],\n            [\n              -121.5,\n              39.5\n            ],\n            [\n              -123,\n              39.5\n            ],\n            [\n              -123,\n              38\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, <a href=\"https://ca.water.usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods and Materials</li><li>Coagulant and Sorbent Efficacy in Mercury Removal</li><li>Summary</li><li>References Cited</li><li>Appendix Tables</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-02-25","noUsgsAuthors":false,"publicationDate":"2019-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"De Parsia, Erica R. 0000-0002-0031-6318 edeparsia@usgs.gov","orcid":"https://orcid.org/0000-0002-0031-6318","contributorId":213441,"corporation":false,"usgs":true,"family":"De Parsia","given":"Erica","email":"edeparsia@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":755857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleck, Jacob A. 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":1498,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob A.","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":755858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoang, Kim","contributorId":212250,"corporation":false,"usgs":false,"family":"Hoang","given":"Kim","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":755860,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roth, David 0000-0002-7515-3533 daroth@usgs.gov","orcid":"https://orcid.org/0000-0002-7515-3533","contributorId":202097,"corporation":false,"usgs":true,"family":"Roth","given":"David","email":"daroth@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":755861,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Randall, Paul","contributorId":212251,"corporation":false,"usgs":false,"family":"Randall","given":"Paul","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":755862,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70201029,"text":"sir20185159 - 2019 - California’s exposure to volcanic hazards","interactions":[],"lastModifiedDate":"2019-12-10T12:19:03","indexId":"sir20185159","displayToPublicDate":"2019-02-25T05:35:49","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5159","displayTitle":"California’s Exposure to Volcanic Hazards","title":"California’s exposure to volcanic hazards","docAbstract":"<p>The potential for damaging earthquakes, landslides, floods, tsunamis, and wildfires is widely recognized in California. The same cannot be said for volcanic eruptions, despite the fact that they occur in the state about as frequently as the largest earthquakes on the San Andreas Fault. At least ten eruptions have taken place in the past 1,000 years, and future volcanic eruptions are inevitable.</p><p>The U.S. Geological Survey’s (USGS) national volcanic threat assessment identifies eight young volcanic areas in California as moderate, high, or very high threat. Of the eight volcanic areas that exist in California, molten rock resides beneath at least seven of these—Medicine Lake volcano, Mount Shasta, Lassen Volcanic Center, Clear Lake volcanic field, the Long Valley volcanic region, Coso volcanic field, and Salton Buttes—and are therefore considered “active” volcanoes producing volcanic earthquakes, toxic gas emissions, hot springs, geothermal systems, and (or) ground movement.</p><p>The USGS California Volcano Observatory in Menlo Park, California, monitors these potentially hazardous volcanoes to help communities and government authorities understand, prepare for, and respond to volcanic activity. Although volcanic activity can sometimes be forecast, eruptions, like earthquakes or tsunamis, cannot be prevented. Understanding the hazards and identifying what and who is in harm’s way is the first step in mitigating volcanic risk and building community resilience to volcanic hazards.</p><p>This report, which was prepared in collaboration with the California Governor’s Office of Emergency Services and the California Geological Survey, provides a broad perspective on the state’s exposure to volcanic hazards by integrating volcanic hazard information with geospatial data on at-risk populations, infrastructure, and resources. This information is intended to prompt site- and sector-specific vulnerability analyses and preparation of hazard mitigation and response plans.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185159","collaboration":"Prepared in cooperation with the California Governor’s Office of Emergency Services and the California Geological Survey","usgsCitation":"Mangan, M., Ball, J., Wood, N., Jones, J.L., Peters, J., Abdollahian, N., Dinitz, L., Blankenheim, S., Fenton, J., and Pridmore, C., 2019, California’s exposure to volcanic hazards (ver. 1.1, December 2019): U.S. Geological Survey Scientific Investigations Report 2018–5159, 49 p., https://doi.org/10.3133/sir20185159.","productDescription":"Report: vi, 49 p.; 2 Appendixes","numberOfPages":"58","ipdsId":"IP-092973","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":370069,"rank":4,"type":{"id":25,"text":"Version 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 \"}}]}","contact":"<p><a href=\"https://volcanoes.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://volcanoes.usgs.gov/\">Volcano Science Center</a><br>U.S. Geological Survey<br>345 Middlefield Road, MS 910<br>Menlo Park, CA 94025</p>","tableOfContents":"<ul><li>Introduction</li><li>Hazards and Impacts</li><li>“Watch List” Volcanoes and Hazard Zones</li><li>Societal Exposure to Volcanic Hazards</li><li>Summary and Next Steps</li><li>Acknowledgments</li><li>References</li><li>Glossary</li><li>Appendixes 1–3</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-02-25","revisedDate":"2019-12-06","noUsgsAuthors":false,"publicationDate":"2019-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Mangan, Margaret 0000-0002-5273-8053 mmangan@usgs.gov","orcid":"https://orcid.org/0000-0002-5273-8053","contributorId":107982,"corporation":false,"usgs":true,"family":"Mangan","given":"Margaret","email":"mmangan@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":751908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ball, Jessica 0000-0002-7837-8180 jlball@usgs.gov","orcid":"https://orcid.org/0000-0002-7837-8180","contributorId":213475,"corporation":false,"usgs":true,"family":"Ball","given":"Jessica","email":"jlball@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":751909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Nathan 0000-0002-6060-9729 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