{"pageNumber":"323","pageRowStart":"8050","pageSize":"25","recordCount":40783,"records":[{"id":70205055,"text":"70205055 - 2019 - Recognizing the Famine Early Warning Systems Network: Over 30 years of drought early warning science advances and partnerships promoting global food security","interactions":[],"lastModifiedDate":"2019-11-20T14:57:37","indexId":"70205055","displayToPublicDate":"2019-06-25T09:16:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Recognizing the Famine Early Warning Systems Network: Over 30 years of drought early warning science advances and partnerships promoting global food security","docAbstract":"On a planet with more than 7 billion people, how do we identify the millions of drought-afflicted people who face a real threat of livelihood disruption or death without humanitarian assistance? Typically, these people are poor and heavily dependent on rainfed agriculture and livestock. Most live in Africa, Central America, or Southwest Asia. When the rains fail, incomes diminish while food prices increase, cutting off the poorest (most often women and children) from access to adequate nutrition. As seen in Ethiopia in 1984 and Somalia in 2011, food shortages can lead to famine. Yet these slow onset disasters also provide opportunities for effective intervention, as seen in Ethiopia in 2015 and Somalia in 2017.\n\nSince 1985, the US Agency for International Development's Famine Early Warning Systems Network (FEWS NET) has been providing evidence-based guidance for effective humanitarian relief efforts. FEWS NET depends on a Drought Early Warning System (DEWS) to help understand, monitor, model and predict food insecurity. Here we provide an overview of FEWS NET's DEWS using examples from recent climate extremes. While drought monitoring and prediction provides just one part of FEWS NET's monitoring system, it draws from many disciplines - remote sensing, climate prediction, agro-climatic monitoring, and hydrologic modeling. Here we describe FEWS NET's multi-agency multi-disciplinary DEWS and Food Security Outlooks. This DEWS uses diagnostic analyses to guide predictions.  Mid-season droughts are monitored using multiple cutting-edge earth observing systems. Crop and hydrologic models can translate these observations into impacts. This information feeds into FEWS NET reports, helping to save lives by motivating and targeting timely humanitarian assistance.","language":"English","publisher":"AMS","doi":"10.1175/BAMS-D-17-0233.1","usgsCitation":"Funk, C., Shraddhanand Shukla, Thiaw, W.M., Rowland, J., Andrew Hoell, Husak, G., and Novella, N., 2019, Recognizing the Famine Early Warning Systems Network: Over 30 years of drought early warning science advances and partnerships promoting global food security: Bulletin of the American Meteorological Society, p. 1011-1027, https://doi.org/10.1175/BAMS-D-17-0233.1.","productDescription":"17 p.","startPage":"1011","endPage":"1027","ipdsId":"IP-098117","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-17-0233.1","text":"Publisher Index Page"},{"id":367055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Funk, Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":218640,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":769770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shraddhanand Shukla","contributorId":218641,"corporation":false,"usgs":false,"family":"Shraddhanand Shukla","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":769771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thiaw, Wassila Mamadou","contributorId":218642,"corporation":false,"usgs":false,"family":"Thiaw","given":"Wassila","email":"","middleInitial":"Mamadou","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":769772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":145846,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":769773,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrew Hoell","contributorId":218643,"corporation":false,"usgs":false,"family":"Andrew Hoell","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":769774,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Husak, Gregory","contributorId":145811,"corporation":false,"usgs":false,"family":"Husak","given":"Gregory","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":769775,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Novella, Nicholas","contributorId":218644,"corporation":false,"usgs":false,"family":"Novella","given":"Nicholas","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":769776,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209110,"text":"70209110 - 2019 - Enhanced landslide mobility by basal liquefaction: the 2014 SR530 (Oso), Washington landslide","interactions":[],"lastModifiedDate":"2020-03-17T07:24:07","indexId":"70209110","displayToPublicDate":"2019-06-25T07:19:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced landslide mobility by basal liquefaction: the 2014 SR530 (Oso), Washington landslide","docAbstract":"Landslide mobility can vastly amplify the consequences of slope failure.  As a compelling example, the March 22, 2014 landslide near Oso, Washington (USA) was particularly devastating, traveling across a 1-km+ wide river valley, killing 43 people, destroying dozens of homes, and temporarily closing a well-traveled highway. To resolve causes for the landslide’s behavior and mobility, we conducted detailed post-event field investigations and material testing.  Geologic and structure mapping revealed a progression of geomorphological structures ranging from debris flow lobes at the distal end, through hummock fields, laterally continuous landslide blocks, back-rotated blocks, and finally colluvial slides and falls at the landslide headscarp.  Primary structures, as well as stratigraphic and vegetation patterns, in the landslide deposit indicated rapid extensional motion of the approximately nine-million-m3 source volume in a closely timed sequence of events.  We identified hundreds of transient sand boils in the landslide runout zone – evidence of widespread elevated pore-water pressures with consequent shear-strength reduction at the base of the slide. During the event, underlying wet alluvium liquefied and allowed quasi-intact slide hummocks to extend and translate long distances across the flat valley. Most of the slide material itself did not liquefy. Using geotechnical testing and numerical modeling, we examined rapid undrained loading, shear and collapse of loose saturated alluvium, and strong ground shaking as potential liquefaction mechanisms.  Our analyses show that some layers in the alluvium can liquefy when sheared, as could occur with rapid undrained loading.  Simultaneous ground shaking could have contributed to pore-pressure generation as well. Two key elements, a large and rapid failure overriding wet liquefiable sediments, enabled the landslide’s high mobility.  Basal liquefaction may enhance mobility of other landslides in similar settings.","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35146.1","usgsCitation":"Collins, B.D., and Reid, M.E., 2019, Enhanced landslide mobility by basal liquefaction: the 2014 SR530 (Oso), Washington landslide: Geological Society of America Bulletin, v. 132, no. 3/4, p. 451-476, https://doi.org/10.1130/B35146.1.","productDescription":"26 p.","startPage":"451","endPage":"476","ipdsId":"IP-098841","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b35146.1","text":"Publisher Index Page"},{"id":373309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.62939453125001,\n              48.09275716032736\n            ],\n            [\n              -121.00341796874999,\n              48.09275716032736\n            ],\n            [\n              -121.00341796874999,\n              48.83579746243093\n            ],\n            [\n              -122.62939453125001,\n              48.83579746243093\n            ],\n            [\n              -122.62939453125001,\n              48.09275716032736\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","issue":"3/4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":784960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":784961,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215499,"text":"70215499 - 2019 - Variability in synthetic earthquake ground motions caused by source variability and errors in wave propagation models","interactions":[],"lastModifiedDate":"2020-10-21T15:30:34.656635","indexId":"70215499","displayToPublicDate":"2019-06-24T10:26:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Variability in synthetic earthquake ground motions caused by source variability and errors in wave propagation models","docAbstract":"<p class=\"chapter-para\">Numerical simulations of earthquake ground motions are used both to anticipate the effects of hypothetical earthquakes by forward simulation and to infer the behaviour of the real earthquake source ruptures by the inversion of recorded ground motions. In either application it is necessary to assume some Earth structure that is necessarily inaccurate and to use a computational method that is also inaccurate for simulating the wavefield Green's functions. We refer to these two sources of error as ‘propagation inaccuracies’, which might be considered to be epistemic. We show that the variance of the Fourier spectrum of the synthetic earthquake seismograms caused by propagation inaccuracies is related to the spatial covariance on the rupture surface of errors in the computed Green's functions, which we estimate for the case of the 2009 L'Aquila, Italy, earthquake by comparing erroneous computed Green's functions with observed L'Aquila aftershock seismograms (empirical Green's functions). We further show that the variance of the synthetic seismograms caused by the rupture variability (aleatory uncertainty) is related to the spatial covariance on the rupture surface of aleatory variations in the rupture model, and we investigate the effect of correlated variations in Green's function errors and variations in rupture models. Thus, we completely characterize the variability of synthetic earthquake seismograms induced by errors in propagation and variability in the rupture behaviour. We calculate the spectra of the variance of the ground motions of the L'Aquila main shock caused by propagation inaccuracies for two specific broad-band stations, the AQU and the FIAM stations. These variances are distressingly large, being comparable or in some cases exceeding the data amplitudes, suggesting that the best-fitting L'Aquila rupture model significantly overfits the data and might be seriously in error. If these computed variances are typical, the accuracy of many other rupture models for past earthquakes may need to be reconsidered. The results of this work might be useful in seismic hazard estimation because the variability of the computed ground motion, caused both by propagation inaccuracies and variations in the rupture model, can be computed directly, not requiring laborious consideration of multiple Earth structures.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggz275","usgsCitation":"Spudich, P.A., Cirella, A., Scognamiglio, L., and Tinti, E., 2019, Variability in synthetic earthquake ground motions caused by source variability and errors in wave propagation models: Geophysical Journal International, v. 219, no. 1, p. 346-372, https://doi.org/10.1093/gji/ggz275.","productDescription":"27 p.","startPage":"346","endPage":"372","ipdsId":"IP-101827","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":467505,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggz275","text":"Publisher Index Page"},{"id":379592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"219","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Spudich, Paul A. 0000-0002-9484-4997","orcid":"https://orcid.org/0000-0002-9484-4997","contributorId":243550,"corporation":false,"usgs":true,"family":"Spudich","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":802512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cirella, Antonella","contributorId":200468,"corporation":false,"usgs":false,"family":"Cirella","given":"Antonella","email":"","affiliations":[],"preferred":false,"id":802513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scognamiglio, Laura","contributorId":200469,"corporation":false,"usgs":false,"family":"Scognamiglio","given":"Laura","email":"","affiliations":[],"preferred":false,"id":802514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tinti, Elisa","contributorId":200470,"corporation":false,"usgs":false,"family":"Tinti","given":"Elisa","email":"","affiliations":[],"preferred":false,"id":802515,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203202,"text":"sir20195036 - 2019 - ModelMuse Version 4: A graphical user interface for MODFLOW 6","interactions":[],"lastModifiedDate":"2019-06-25T11:59:32","indexId":"sir20195036","displayToPublicDate":"2019-06-24T10:00:00","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":"2019-5036","displayTitle":"ModelMuse Version 4: A Graphical User Interface for MODFLOW 6","title":"ModelMuse Version 4: A graphical user interface for MODFLOW 6","docAbstract":"ModelMuse, a graphical user interface for groundwater-modeling software, was modified to support MODFLOW 6. ModelMuse works with two types of spatial discretization in MODFLOW 6: structured grids (DIS) and discretization by vertices (DISV). Quadtree refinement is used to generate a DISV model from a structured-grid model. The locations and weights for ghost nodes used to improve DISV model accuracy are computed automatically by ModelMuse using a new algorithm. ModelMuse does not support other types of DISV grids and unstructured grids. ModelMuse supports options in MODFLOW 6 that designate individual cells as confined or convertible and remove inactive cells associated with discontinuous layers, thereby reducing the computational burden. ModelMuse can specify fully three-dimensional (3D), spatially variable anisotropy in hydraulic conductivity. Although MODFLOW 6 does not support the parameters supported by MODFLOW–2005, ModelMuse provides backward compatibility by allowing ModelMuse parameters to specify scale-factor variables in MODFLOW 6 time-series files within packages that support time-series files. ModelMuse can automatically convert the data for many of the packages from other MODFLOW models to the new data for these packages in MODFLOW 6. Some packages, such as the Streamflow-Routing (SFR) package, changed significantly enough that only a partial conversion is possible. Head and flow observations in older models are also converted to observation locations in the MODFLOW 6 Observation utility. ModelMuse accommodates the ability of MODFLOW 6 to store specific discharge components by allowing the user to visualize the components of a specific discharge on the model grid. ModelMuse supports the versions of MODPATH and ZONEBUDGET compatible with MODFLOW 6.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195036","usgsCitation":"Winston, R.B., 2019, ModelMuse version 4—A graphical user interface for MODFLOW 6: U.S. Geological Survey Scientific Investigations Report 2019–5036, 10 p.,  https://doi.org/10.3133/sir20195036.","productDescription":"v, 10 p.","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101951","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":437409,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P974NRIX","text":"USGS data release","linkHelpText":"ModelMuse version 4.2"},{"id":437408,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X9NW2V","text":"USGS data release","linkHelpText":"Software Release ModelMuse Version 4.1"},{"id":364718,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5036/sir20195036.pdf","text":"Report","size":"627 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5036"},{"id":364717,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5036/coverthb.jpg"},{"id":364787,"rank":3,"type":{"id":18,"text":"Project Site"},"url":" https://www.usgs.gov/software/modelmuse-a-graphical-user-interface-groundwater-models","linkHelpText":"- Software -- ModelMuse: A Graphical User Interface for Groundwater Models"}],"contact":"<p>Director, Integrated Modeling and Prediction Division<br>U.S. Geological Survey<br>MS 415 National Center<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgements</li><li>Abstract</li><li>Introduction</li><li>Working with Discretization by Vertices Grids</li><li>Specification of Data With Objects</li><li>Ghost-Node Correction Package</li><li>XT3D Option</li><li>Convertible Cells in MODFLOW 6</li><li>Simulating Discontinuous Layers</li><li>Model Features</li><li>Specific Discharge</li><li>Postprocessors</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-06-24","noUsgsAuthors":false,"publicationDate":"2019-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":761630,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203981,"text":"70203981 - 2019 - The evolving threat of rapid Ohia death (ROD) to Hawaii’s native ecosystems and rare plant species","interactions":[],"lastModifiedDate":"2019-06-26T09:32:44","indexId":"70203981","displayToPublicDate":"2019-06-24T09:23:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The evolving threat of Rapid ‘Ōhi‘a Death (ROD) to Hawai‘i’s native ecosystems and rare plant species","title":"The evolving threat of rapid Ohia death (ROD) to Hawaii’s native ecosystems and rare plant species","docAbstract":"<p><span>Hawai‘i’s most widespread native tree, ‘ōhi‘a lehua (</span><i>Metrosideros polymorpha</i><span>), has been dying across large areas of Hawai‘i Island mainly due to two fungal pathogens (</span><i>Ceratocystis lukuohia</i><span>&nbsp;and&nbsp;</span><i>Ceratocystis huliohia</i><span>) that cause a disease collectively known as Rapid ‘Ōhi‘a Death (ROD). Here we examine patterns of positive detections of&nbsp;</span><i>C. lukuohia</i><span>&nbsp;as it has been linked to the larger mortality events across Hawai‘i Island. Our analysis compares the environmental range of&nbsp;</span><i>C. lukuohia</i><span>&nbsp;and its spread over time through the known climatic range and distribution of ‘ōhi‘a. Analyses show this fungal pathogen generally encompassed the core, but not the extremes of the climatic range of ‘ōhi‘a. We further modeled the potential distribution of&nbsp;</span><i>C. lukuohia</i><span>across the Hawaiian Archipelago to estimate the risk of ROD to other islands. Given the potential for&nbsp;</span><i>C. lukuohia</i><span>&nbsp;to alter the structure of ‘ōhi‘a dominated forests, we used our projected potential distribution of&nbsp;</span><i>C. lukuohia</i><span>&nbsp;to assess the risk of ROD to threatened and endangered plant species across Hawai‘i. Many native plants are likely vulnerable to these types of large ‘ōhi‘a mortality events: of 234 endangered native plant species considered, 147 (62.8%) have more than half of their range within current and expanding&nbsp;</span><i>C. lukuohia</i><span>&nbsp;suitable areas. We also found evidence that protecting habitat by fencing out introduced feral ungulates reduces the prevalence of the disease likely by reducing physical damage caused by these animals to ‘ōhi‘a trees, a precondition for&nbsp;</span><i>Ceratocystis</i><span>&nbsp;infection. Given the ongoing spread of&nbsp;</span><i>C. lukuohia</i><span>, we developed a dynamic web portal to host our results online, where models and analyses are updated with new lab-confirmed detections to provide managers with a useful tool to help monitor and assess the risk of&nbsp;</span><i>C. lukuohia</i><span>&nbsp;as it continues to spread.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2019.06.025","usgsCitation":"Fortini, L., Kaiser, L.R., Keith, L., Price, J., Hughes, R., Jacobi, J.D., and Friday, J.B., 2019, The evolving threat of rapid Ohia death (ROD) to Hawaii’s native ecosystems and rare plant species: Forest Ecology and Management, v. 448, p. 376-385, https://doi.org/10.1016/j.foreco.2019.06.025.","productDescription":"10 p.","startPage":"376","endPage":"385","ipdsId":"IP-106268","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":437410,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94ESGQB","text":"USGS data release","linkHelpText":"Hawaiian Islands Ceratocystis rapid ohia death spatial analysis 2019"},{"id":365055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70204158,"text":"70204158 - 2019 - Review: Endophytic microbes and their potential applications in crop management","interactions":[],"lastModifiedDate":"2019-09-16T12:21:37","indexId":"70204158","displayToPublicDate":"2019-06-22T14:29:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3035,"text":"Pest Management Science","active":true,"publicationSubtype":{"id":10}},"title":"Review: Endophytic microbes and their potential applications in crop management","docAbstract":"<p>Endophytes are microbes (mostly bacteria and fungi) present in plants. Endophytic microbes are often functional in that they may carry nutrients from the soil into plants, modulate plant development, increase stress tolerance of plants, suppress virulence in pathogens, increase disease resistance in plants, and suppress development of competitor plant species. Endophytic microbes have been shown: 1) obtain nutrients in soils and transfer nutrients to plants in the rhizophagy cycle and other nutrient‐transfer symbioses; 2) increase plant growth and development; 3) reduce oxidative stress of hosts; 4) protect plants from disease; 5) deter feeding by herbivores; and 6) suppress growth of competitor plant species. Because of the effective functions of endophytic microbes, we suggest that endophytic microbes may significantly reduce use of agrochemicals (fertilizers, fungicides, insecticides, and herbicides) in the cultivation of crop plants. The loss of endophytic microbes from crop plants during domestication and long‐term cultivation could be remedied by transfer of endophytes from wild relatives of crops to crop species. Increasing atmospheric carbon dioxide levels could reduce the efficiency of the rhizophagy cycle due to repression of reactive oxygen used to extract nutrients from microbes in roots.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ps.5527","usgsCitation":"White, J., Kingsley, K.L., Elmore, M.T., Verma, S.K., Gond, S.K., and Kowalski, K., 2019, Review: Endophytic microbes and their potential applications in crop management: Pest Management Science, v. 75, no. 10, p. 2558-2565, https://doi.org/10.1002/ps.5527.","productDescription":"8 P.","startPage":"2558","endPage":"2565","ipdsId":"IP-106524","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467508,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ps.5527","text":"Publisher Index Page"},{"id":365392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365388,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/abs/10.1002/ps.5527"}],"volume":"75","issue":"10","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"White, James F.","contributorId":152046,"corporation":false,"usgs":false,"family":"White","given":"James F.","affiliations":[],"preferred":false,"id":765750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kingsley, Kathryn L.","contributorId":203176,"corporation":false,"usgs":false,"family":"Kingsley","given":"Kathryn","email":"","middleInitial":"L.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":765751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elmore, Matthew T.","contributorId":206820,"corporation":false,"usgs":false,"family":"Elmore","given":"Matthew","email":"","middleInitial":"T.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":765752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verma, Satish Kumar","contributorId":203175,"corporation":false,"usgs":false,"family":"Verma","given":"Satish","email":"","middleInitial":"Kumar","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":765753,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gond, Surendra K","contributorId":216841,"corporation":false,"usgs":false,"family":"Gond","given":"Surendra","email":"","middleInitial":"K","affiliations":[{"id":39528,"text":"Banaras Hindu University","active":true,"usgs":false}],"preferred":false,"id":765754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":765749,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228003,"text":"70228003 - 2019 - Estimating density and detection of bobcats in fragmented Midwestern landscapes using  spatial capture-recapture data from camera traps","interactions":[],"lastModifiedDate":"2022-02-04T14:40:11.294887","indexId":"70228003","displayToPublicDate":"2019-06-21T11:13:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Estimating density and detection of bobcats in fragmented Midwestern landscapes using  spatial capture-recapture data from camera traps","docAbstract":"<p><span>Camera-trapping data analyzed with spatially explicit capture–recapture (SCR) models can provide a rigorous method for estimating density of small populations of elusive carnivore species. We sought to develop and evaluate the efficacy of SCR models for estimating density of a presumed low-density bobcat (</span><i>Lynx rufus</i><span>) population in fragmented landscapes of west-central Illinois, USA. We analyzed camera-trapping data from 49 camera stations in a 1,458-km</span><sup>2</sup><span>&nbsp;area deployed over a 77-day period from 1 February to 18 April 2017. Mean operational time of cameras was 52 days (range = 32–67 days). We captured 23 uniquely identifiable bobcats 113 times and recaptured these same individuals 90 times; 15 of 23 (65.2%) individuals were recaptured at ≥2 camera traps. Total number of bobcat capture events was 139, of which 26 (18.7%) were discarded from analyses because of poor image quality or capture of only a part of an animal in photographs. Of 113 capture events used in analyses, 106 (93.8%) and 7 (6.2%) were classified as positive and tentative identifications, respectively; agreement on tentative identifications of bobcats was high (71.4%) among 3 observers. We photographed bobcats at 36 of 49 (73.5%) camera stations, of which 34 stations were used in analyses. We estimated bobcat density at 1.40 individuals (range = 1.00–2.02)/100 km&nbsp;</span><sup>2</sup><span>. Our modeled bobcat density estimates are considerably below previously reported densities (30.5 individuals/100 km&nbsp;</span><sup>2</sup><span>) within the state, and among the lowest yet recorded for the species. Nevertheless, use of remote cameras and SCR models was a viable technique for reliably estimating bobcat density across west-central Illinois. Our research establishes ecological benchmarks for understanding potential effects of colonization, habitat fragmentation, and exploitation on future assessments of bobcat density using standardized methodologies that can be compared directly over time. Further application of SCR models that quantify specific costs of animal movements (i.e., least-cost path models) while accounting for landscape connectivity has great utility and relevance for conservation and management of bobcat populations across fragmented Midwestern landscapes.</span></p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/wsb.968","usgsCitation":"Jacques, C., Klaver, R.W., Swearingen, T.C., Davis, E.D., Anderson, C., Jenks, J., DePerno, C.S., and Bluett, R.D., 2019, Estimating density and detection of bobcats in fragmented Midwestern landscapes using  spatial capture-recapture data from camera traps: Wildlife Society Bulletin, v. 43, no. 2, p. 256-264, https://doi.org/10.1002/wsb.968.","productDescription":"9 p.","startPage":"256","endPage":"264","ipdsId":"IP-099506","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467513,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/0695d4aeb0ef43ef984fb13bc46339bd","text":"External Repository"},{"id":395373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","county":"Handcock, Schuyler","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.2139892578125,\n              40.01289077952615\n            ],\n            [\n              -90.45867919921875,\n              40.01289077952615\n            ],\n            [\n              -90.45867919921875,\n              40.330842639095756\n            ],\n            [\n              -91.2139892578125,\n              40.330842639095756\n            ],\n            [\n              -91.2139892578125,\n              40.01289077952615\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Jacques, Christopher N.","contributorId":264323,"corporation":false,"usgs":false,"family":"Jacques","given":"Christopher N.","affiliations":[{"id":49637,"text":"Western Illinois University","active":true,"usgs":false}],"preferred":false,"id":833067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":832877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swearingen, Tim C.","contributorId":274286,"corporation":false,"usgs":false,"family":"Swearingen","given":"Tim","email":"","middleInitial":"C.","affiliations":[{"id":49637,"text":"Western Illinois University","active":true,"usgs":false}],"preferred":false,"id":833068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Edward D.","contributorId":274508,"corporation":false,"usgs":false,"family":"Davis","given":"Edward","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":833069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Charles R.","contributorId":274287,"corporation":false,"usgs":false,"family":"Anderson","given":"Charles R.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":833070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenks, Jonathan A.","contributorId":274288,"corporation":false,"usgs":false,"family":"Jenks","given":"Jonathan A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":833071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DePerno, Christopher S.","contributorId":10327,"corporation":false,"usgs":true,"family":"DePerno","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":833072,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bluett, Robert D.","contributorId":274290,"corporation":false,"usgs":false,"family":"Bluett","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":40911,"text":"Illinois DNR","active":true,"usgs":false}],"preferred":false,"id":833073,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70203940,"text":"70203940 - 2019 - Facilitating adaptation to climate change while restoring a montane plant community","interactions":[],"lastModifiedDate":"2019-12-22T14:27:27","indexId":"70203940","displayToPublicDate":"2019-06-20T16:12:52","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":"Facilitating adaptation to climate change while restoring a montane plant community","docAbstract":"<p><span>Montane plant communities throughout the world have responded to changes in temperature regimes by shifting ranges upward in elevation, and made downslope movements to track shifts in climatic water balance. Organisms that cannot disperse or adapt biologically to projected climate scenarios in situ may decrease in distributional range and abundance over time. Restoration strategies will need to incorporate the habitat suitability of future predicted conditions to ensure long-term persistence. We propagated seedlings of three native Hawaiian montane plant species from high- (~2,500 m asl) and low-elevation (~1,900 m asl) sources, planted them in 8 common plots along a 500 m elevation gradient, and monitored microclimate at each plot for 20 weeks. We explored how temperature and precipitation influenced survival and growth differently among high- and low-elevation origin seedlings. Significantly more seedlings of only one species,&nbsp;</span><i>Dodonaea viscosa</i><span>, from high-elevation origin (75.2%) survived than seedlings from low-elevation origin (58.7%) across the entire elevation gradient. Origin also influenced survival in generalized linear mixed models that controlled for temperature, precipitation, and elevation in&nbsp;</span><i>D</i><span>.&nbsp;</span><i>viscosa</i><span>&nbsp;and&nbsp;</span><i>Chenopodium oahuense</i><span>. Survival increased with elevation and soil moisture for&nbsp;</span><i>Sophora chrysophylla</i><span>, while it decreased for the other two species. Responses to microclimate varied between the three montane plant species; there were no common patterns of growth or survival. Although limited in temporal scope, our experiment represents one of the few attempts to examine local adaptation to prospective climate scenarios and addresses challenges to restoration efforts within species’ current ranges.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0218516","usgsCitation":"Leopold, C., and Hess, S.C., 2019, Facilitating adaptation to climate change while restoring a montane plant community: PLoS ONE, v. 14, e0218516; 17 p., https://doi.org/10.1371/journal.pone.0218516.","productDescription":"e0218516; 17 p.","ipdsId":"IP-099400","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":467514,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0218516","text":"Publisher Index Page"},{"id":364971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Kea Forest Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.6227111816406,\n              19.796425363822532\n            ],\n            [\n              -155.58013916015625,\n              19.755071768505005\n            ],\n            [\n              -155.49087524414062,\n              19.703364698733452\n            ],\n            [\n              -155.39886474609375,\n              19.73439094891939\n            ],\n            [\n              -155.35491943359375,\n              19.826141627230633\n            ],\n            [\n              -155.3631591796875,\n              19.898471023853403\n            ],\n            [\n              -155.49087524414062,\n              19.93591434153325\n            ],\n            [\n              -155.6227111816406,\n              19.796425363822532\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Leopold, Christina 0000-0003-0499-3196","orcid":"https://orcid.org/0000-0003-0499-3196","contributorId":178961,"corporation":false,"usgs":false,"family":"Leopold","given":"Christina","affiliations":[],"preferred":false,"id":764853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hess, Steve C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":150366,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":764852,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204098,"text":"70204098 - 2019 - Digital mapping of ecological land units using a nationally scalable modeling framework","interactions":[],"lastModifiedDate":"2019-07-05T15:40:57","indexId":"70204098","displayToPublicDate":"2019-06-20T15:37:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Digital mapping of ecological land units using a nationally scalable modeling framework","docAbstract":"<p><span>Ecological site descriptions (ESDs) and associated state-and-transition models (STMs) provide a nationally consistent classification and information system for defining ecological land units for management applications in the United States. Current spatial representations of ESDs, however, occur via soil mapping and are therefore confined to the spatial resolution used to map soils within a survey area. Land management decisions occur across a range of spatial scales and therefore require ecological information that spans similar scales. Digital mapping provides an approach for optimizing the spatial scale of modeling products to best serve decision makers and have the greatest impact in addressing land management concerns. Here, we present a spatial modeling framework for mapping ecological sites using machine learning algorithms, soil survey field observations, soil survey geographic databases, ecological site data, and a suite of remote sensing-based spatial covariates (e.g., hyper-temporal remote sensing, terrain attributes, climate data, land-cover, lithology). Based on the theoretical association between ecological sites and landscape biophysical properties, we hypothesized that the spatial distribution of ecological sites could be predicted using readily available geospatial data. This modeling approach was tested at two study areas within the western United States, representing 6.1 million ha on the Colorado Plateau and 7.5 million ha within the Chihuahuan Desert. Results show our approach was effective in mapping grouped ecological site classes (ESGs), with 10-fold cross-validation accuracies of 70% in the Colorado Plateau based on 1405 point observations across eight expertly-defined ESG classes and 79% in the Chihuahuan Desert based on 2589 point observations across nine expertly-defined ESG classes. Model accuracies were also evaluated using external-validation datasets; resulting in 56 and 44% correct classification for the Colorado Plateau and Chihuahuan Desert, respectively. National coverage of the training and covariate data used in this study provides opportunities for a consistent national-scale mapping effort of ecological sites.</span></p>","language":"English","publisher":"Alliance of Crop, Soil, and Environmental Science Societies (ACSESS)","doi":"10.2136/sssaj2018.09.0346","usgsCitation":"Maynard, J.J., Nauman, T.W., Salley, S.W., Bestelmeyer, B.T., Duniway, M.C., Talbot, C.J., and Brown, J.R., 2019, Digital mapping of ecological land units using a nationally scalable modeling framework, v. 83, no. 3, p. 666-686, https://doi.org/10.2136/sssaj2018.09.0346.","productDescription":"21 p.","startPage":"666","endPage":"686","ipdsId":"IP-102201","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":365309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chihuahuan Desert, Colorado Plateau","volume":"83","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Maynard, Jonathan J.","contributorId":216782,"corporation":false,"usgs":false,"family":"Maynard","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[{"id":39514,"text":"USDA-Agricultural Resource Service, Jornada Experimental Range, Las Cruces, NM 88003, USA","active":true,"usgs":false}],"preferred":false,"id":765492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nauman, Travis W. 0000-0001-8004-0608 tnauman@usgs.gov","orcid":"https://orcid.org/0000-0001-8004-0608","contributorId":169241,"corporation":false,"usgs":true,"family":"Nauman","given":"Travis","email":"tnauman@usgs.gov","middleInitial":"W.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":765491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Salley, Shawn W.","contributorId":216783,"corporation":false,"usgs":false,"family":"Salley","given":"Shawn","email":"","middleInitial":"W.","affiliations":[{"id":39514,"text":"USDA-Agricultural Resource Service, Jornada Experimental Range, Las Cruces, NM 88003, USA","active":true,"usgs":false}],"preferred":false,"id":765493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bestelmeyer, Brandon T.","contributorId":26180,"corporation":false,"usgs":false,"family":"Bestelmeyer","given":"Brandon","email":"","middleInitial":"T.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; New Mexico State University, Dept. of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":765494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":765495,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbot, Curtis J.","contributorId":177878,"corporation":false,"usgs":false,"family":"Talbot","given":"Curtis","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":765496,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, Joel R.","contributorId":177880,"corporation":false,"usgs":false,"family":"Brown","given":"Joel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":765497,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203903,"text":"70203903 - 2019 - LANDFIRE remap prototype mapping effort: Developing a new framework for mapping vegetation classification, change, and structure","interactions":[],"lastModifiedDate":"2019-06-20T12:40:50","indexId":"70203903","displayToPublicDate":"2019-06-20T12:37:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5678,"text":"Fire","active":true,"publicationSubtype":{"id":10}},"title":"LANDFIRE remap prototype mapping effort: Developing a new framework for mapping vegetation classification, change, and structure","docAbstract":"LANDFIRE (LF) National (2001) was the original product suite of the LANDFIRE program, which included Existing Vegetation Cover (EVC), Height (EVH), and Type (EVT). Subsequent refinements after feedback from data users resulted in updated products, referred to as LF 2001, that now served as LANDFIRE’s baseline datasets and are the basis for all subsequent LANDFIRE updates. These updates account for disturbances and vegetation transitions changes that may not represent current vegetation conditions. Therefore, in 2016 LANDFIRE initiated the Remap prototype to determine how to undertake a national-scale remap of the LANDFIRE primary vegetation datasets. EVC, EVH, and EVT were produced (circa 2015) via modeling for ecologically variable prototyping areas in the Pacific Northwest (NW) and Grand Canyon (GC). An error analysis within the GC suggested an overall accuracy of 52% (N = 800) for EVT, and a goodness of fit of 51% (N = 38) for percent cover (continuous EVC) and 53% (N = 38) for height (continuous EVH). The prototyping effort included a new 81-class map using the National Vegetation Classification (NVC) within the NW. This paper presents a narrative of the innovative methodologies in image processing and mapping used to create the new LANDFIRE vegetation products.","language":"English","publisher":"MDPI","doi":"10.3390/fire2020035","usgsCitation":"Picotte, J.J., Dockter, D., Long, J., Tolk, B.L., Davidson, A., and Peterson, B., 2019, LANDFIRE remap prototype mapping effort: Developing a new framework for mapping vegetation classification, change, and structure: Fire, v. 2, no. 2, p. 1-26, https://doi.org/10.3390/fire2020035.","productDescription":"26 p.","startPage":"1","endPage":"26","ipdsId":"IP-108452","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fire2020035","text":"Publisher Index Page"},{"id":364836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364823,"type":{"id":15,"text":"Index Page"},"url":"https://www.mdpi.com/2571-6255/2/2/35"}],"volume":"2","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Picotte, Joshua J. 0000-0002-4021-4623 jpicotte@usgs.gov","orcid":"https://orcid.org/0000-0002-4021-4623","contributorId":4626,"corporation":false,"usgs":true,"family":"Picotte","given":"Joshua","email":"jpicotte@usgs.gov","middleInitial":"J.","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":764692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dockter, Daryn 0000-0003-1914-8657","orcid":"https://orcid.org/0000-0003-1914-8657","contributorId":216392,"corporation":false,"usgs":false,"family":"Dockter","given":"Daryn","affiliations":[],"preferred":false,"id":764693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Jordan 0000-0002-4814-464X jlong@usgs.gov","orcid":"https://orcid.org/0000-0002-4814-464X","contributorId":3609,"corporation":false,"usgs":true,"family":"Long","given":"Jordan","email":"jlong@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":764694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tolk, Brian L. 0000-0002-9060-0266 tolk@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0266","contributorId":2992,"corporation":false,"usgs":true,"family":"Tolk","given":"Brian","email":"tolk@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":764695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davidson, Anne","contributorId":197967,"corporation":false,"usgs":false,"family":"Davidson","given":"Anne","email":"","affiliations":[],"preferred":false,"id":764696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Birgit 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":192353,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":764697,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203321,"text":"sir20195039 - 2019 - Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions","interactions":[],"lastModifiedDate":"2019-06-20T09:36:30","indexId":"sir20195039","displayToPublicDate":"2019-06-19T15:45:00","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":"2019-5039","displayTitle":"Simulation of Water Availability in the Southeastern United States for Historical and Potential Future Climate and Land-Cover Conditions","title":"Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions","docAbstract":"<p>A study was conducted by the U.S. Geological Survey (USGS), in cooperation with the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative (GCPO LCC) and the Department of the Interior Southeast Climate Adaptation Science Center, to evaluate the hydrologic response of a daily time step hydrologic model to historical observations and projections of potential climate and land-cover change for the period 1952–2099. The model simulations were used to compute the potential changes in hydrologic response and streamflow statistics across the Southeastern United States, using historical observations of climate and streamflow. Thirteen downscaled general circulation models with four representative concentration pathways were used to represent a range of potential future changes in climate (a total of 45 future simulations) from the Coupled Model Intercomparison Project Phase 5. The streamflow statistics were selected to describe streamflow conditions that may be most useful in defining the suitability for each river or stream to support sustaining populations of priority aquatic species across the GCPO LCC. An application of the Precipitation-Runoff Modeling System (included as part of the USGS National Hydrologic Model) was used to develop the hydrologic simulations. The results showed increases in air temperature across the study area, with the highest increases occurring in the northern part of the study area during July to September. The results showed a mix of increases and decreases in precipitation accumulation across the study area and across seasons, with decreases in precipitation accumulation across all seasons for the southwestern part of the study area. Actual evapotranspiration decreased for the southeastern part of the study area and increased for the northwestern part of the study area. The results showed general decreases in runoff across the study area, with increases in runoff in areas surrounding large metropolitan regions where potential future increases in impervious area occur. Results from a statistical analysis (Kolmogorov-Smirnov test) showed that the downscaled general circulation models generally have more skill in producing historical streamflow statistics in the duration and magnitude categories and less skill in producing historical streamflow statistics in the frequency, rate of change, and timing categories for this study area. The potential changes in the streamflow statistics and the results of the Kolmogorov-Smirnov test are available through the GCPO LCC Conservation Planning Atlas, an online science-based mapping platform built specifically for land managers and planners.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195039","collaboration":"Prepared in cooperation with the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative and the Department of the Interior Southeast Climate Adaptation Science Center","usgsCitation":"LaFontaine, J.H., Hart, R.M., Hay, L.E., Farmer, W.H., Bock, A.R., Viger, R.J., Markstrom, S.L., Regan, R.S., and Driscoll, J.M., 2019, Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions: U.S. Geological Survey Scientific Investigations Report 2019–5039, 83 p., https://doi.org/10.3133/sir20195039.","productDescription":"Report: x, 83 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-075743","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":364749,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5039/coverthb.jpg"},{"id":364750,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5039/sir20195039.pdf","text":"Report","size":"63.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5039"},{"id":364806,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74X56PH","text":"USGS data release","description":"USGS data release","linkHelpText":"Model Input and Output for Hydrologic Simulations of the Southeastern United States for Historical and Future Conditions"}],"country":"United States","state":"Alabama, Arkansas, Florida, Georgia, Illinois, Kansas, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, Tennessee, Texas, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      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Construction, Calibration, and Evaluation of the Southeastern U.S.Hydrologic Model</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-06-19","noUsgsAuthors":false,"publicationDate":"2019-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hay, Lauren E. 0000-0003-3763-4595","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":211478,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":762142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":762144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bock, Andy R. 0000-0001-7222-6613","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":207395,"corporation":false,"usgs":true,"family":"Bock","given":"Andy","email":"","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":762143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":168799,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":762145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":146553,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven","email":"markstro@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":762146,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Regan, R. Steve 0000-0003-4803-8596 rsregan@usgs.gov","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":196973,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"rsregan@usgs.gov","middleInitial":"Steve","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":762147,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Driscoll, Jessica M. 0000-0003-3097-9603 jdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0003-3097-9603","contributorId":167585,"corporation":false,"usgs":true,"family":"Driscoll","given":"Jessica","email":"jdriscoll@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":762148,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70202680,"text":"sir20195017 - 2019 - Development of a flood-inundation map library and precipitation-runoff modeling for the Clear Fork Mohican River in and near Bellville, Ohio","interactions":[],"lastModifiedDate":"2019-06-20T09:28:26","indexId":"sir20195017","displayToPublicDate":"2019-06-19T15:15:00","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":"2019-5017","displayTitle":"Development of a Flood-Inundation Map Library and Precipitation-Runoff Modeling for the Clear Fork Mohican River in and near Bellville, Ohio","title":"Development of a flood-inundation map library and precipitation-runoff modeling for the Clear Fork Mohican River in and near Bellville, Ohio","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Muskingum Watershed Conservancy District, led hydrologic and hydraulic analyses within the Clear Fork Mohican River Basin in and near Bellville, Ohio. The analyses included the development of digital flood-inundation maps for an approximately 2.5-mile reach of the Clear Fork Mohican River and the development of a precipitation-runoff model for a portion of the Clear Fork Mohican River Basin.</p><p>Data collection for the study involved the installation and operation of 2 streamgages (Clear Fork Mohican River at Bellville, Ohio, and Cedar Fork above Bellville, Ohio); 1 lake-level gage (Clear Fork Reservoir near Lexington, Ohio); 2 precipitation gages (Clear Fork Reservoir near Lexington, Ohio, and Rain Gage at Cedar Fork above Bellville, Ohio); and 12 submersible pressure transducers on Clear Fork Mohican River and 4 of its tributaries. Data collection also included field surveys of hydraulic structures and channel cross sections.</p><p>Flood profiles were computed for the 2.5-mile reach of the Clear Fork Mohican River by means of a one-dimensional step-backwater model. The model was calibrated to 16 measured events and to a portion (stages 9 to 11 feet) of the current stage-streamflow relation at the USGS streamgage Clear Fork Mohican River at Bellville, Ohio, and to stage recorded at a submersible pressure transducer site near the downstream study limit. After calibration the step-backwater model was used to compute nine flood profiles for stages ranging from 9 to 17 feet. The flood profiles were then used in combination with a digital elevation model to delineate the area that would be inundated at each stage.</p><p>A precipitation-runoff model was developed and calibrated using data from the streamgage, precipitation gage, and 11 submersible pressure transducers. The modeling included data during 10 runoff events that were used for model calibration and validation, with focus on 6 events. The Nash-Sutcliffe model efficiency coefficients for six peak streamflow events ranged from 0.459 to 0.851.</p><p>The models produced by this study can be used to assess possible flood mitigation options and define flood hazard areas that could contribute to the protection of life and property. The availability of flood-inundation maps, internet information from USGS streamgages, and forecasted stages from the National Weather Service could provide emergency management personnel and residents with information on forecasting floods, appropriate flood response activities, and post-flood recovery efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195017","collaboration":"Prepared in cooperation with the Muskingum Watershed Conservancy District and Richland County","usgsCitation":"Ostheimer, C.J., and Huitger, C.A., 2019, Development of a flood-inundation map library and precipitation-runoff modeling for the Clear Fork Mohican River in and near Bellville, Ohio: U.S. Geological Survey Scientific Investigations Report 2019–5017, 34 p., including 1 appendix, https://doi.org/10.3133/sir20195017.","productDescription":"Report, iv, 34 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-100979","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":364753,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5017/coverthb.jpg"},{"id":364755,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95NMIDF","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial data sets for flood-inundation maps in and near Bellville, Ohio"},{"id":364754,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5017/sir20195017.pdf","text":"Report","size":"17.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5017"}],"country":"United States","state":"Ohio","county":"Richland County","city":"Bellville","otherGeospatial":"Clear Fork Mohican River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.39265441894531,\n              40.58475654701271\n            ],\n            [\n              -82.40020751953125,\n              40.603526799885884\n            ],\n            [\n              -82.52792358398436,\n              40.660847697284815\n            ],\n            [\n              -82.57598876953125,\n              40.70875101828792\n            ],\n            [\n              -82.62405395507812,\n              40.758700379161006\n            ],\n            [\n              -82.68722534179688,\n              40.76182096906601\n            ],\n            [\n              -82.72430419921875,\n              40.71916022743469\n            ],\n            [\n              -82.71194458007812,\n              40.658764163202925\n            ],\n            [\n              -82.49153137207031,\n              40.58345286156245\n            ],\n            [\n              -82.41462707519531,\n              40.56937143958841\n            ],\n            [\n              -82.39471435546875,\n              40.57328324298059\n            ],\n            [\n              -82.39265441894531,\n              40.58475654701271\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","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 Boulevard Ste 100<br>Columbus, OH 43229</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Study Approach</li><li>Creation of Flood-Inundation Map Library</li><li>Precipitation-Runoff Modeling</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Precipitation-Runoff Model Parameters, Event Data Collected, and Results for the Clear Fork Mohican River Basin</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2019-06-19","noUsgsAuthors":false,"publicationDate":"2019-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Ostheimer, Chad J. 0000-0002-4528-8867","orcid":"https://orcid.org/0000-0002-4528-8867","contributorId":213950,"corporation":false,"usgs":true,"family":"Ostheimer","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huitger, Carrie A. 0000-0003-4534-3245 chuitger@usgs.gov","orcid":"https://orcid.org/0000-0003-4534-3245","contributorId":207180,"corporation":false,"usgs":true,"family":"Huitger","given":"Carrie","email":"chuitger@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759456,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204662,"text":"70204662 - 2019 - Modulation of seismic activity in Kīlauea’s Upper East Rift Zone by summit pressurization","interactions":[],"lastModifiedDate":"2019-08-09T10:20:55","indexId":"70204662","displayToPublicDate":"2019-06-19T13:40:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Modulation of seismic activity in Kīlauea’s Upper East Rift Zone by summit pressurization","docAbstract":"Kīlauea Volcano is underlain by a complex, laterally-extensive magmatic plumbing system. Although in recent decades it has mainly erupted through vents along the middle East Rift Zone and summit caldera, eruptions can occur anywhere along its two laterally extensive rift zones, as demonstrated by the dramatic eruptive activity of 2018. Forecasting eruptive activity requires an understanding of whether an episode of volcano-seismic unrest at Kīlauea or a similar volcano is caused directly at the edges of an active magmatic intrusion or reservoir, or in a volume of wall rock at a distance from the intrusion. Seismic unrest in Kīlauea’s Upper East Rift Zone (UERZ) has to date been interpreted as the result of either magma intrusion in this region of the volcano or of stresses due to seaward flank migration. However, recent observations suggest that UERZ seismicity may result from variable pressurization of Kīlauea’s summit magma system. We analyze seismic and deformation (multi-temporal InSAR and GPS) data during a period of variable summit deformation and UERZ seismicity in mid- to late-2007 and calculate Coulomb stress changes on UERZ faults due to modeled summit inflation or deflation. UERZ seismicity during our study period can be explained entirely by stresses arising from pressure changes within Kīlauea’s two summit reservoirs. Furthermore, a comparison of UERZ fault plane solutions (FPS) calculated for this study to published UERZ FPS for previous periods suggests the UERZ has undergone a transition from a mechanically-strong, discontinuous and immature magma transport system to a mature, mechanically-weak and fully-connected transport system over the course of the 1983-2018 eruption.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G46000.1","usgsCitation":"Wauthier, C., Roman, D.C., and Poland, M.P., 2019, Modulation of seismic activity in Kīlauea’s Upper East Rift Zone by summit pressurization: Geology, 5 p., https://doi.org/10.1130/G46000.1.","productDescription":"5 p.","ipdsId":"IP-106972","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":366397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Wauthier, Christelle","contributorId":176224,"corporation":false,"usgs":false,"family":"Wauthier","given":"Christelle","email":"","affiliations":[],"preferred":false,"id":767965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roman, Diana C.","contributorId":176225,"corporation":false,"usgs":false,"family":"Roman","given":"Diana","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":767966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767964,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204754,"text":"70204754 - 2019 - Widespread initiation, reactivation, and acceleration of landslides in the northern California Coast Ranges due to extreme rainfall","interactions":[],"lastModifiedDate":"2019-08-29T12:08:30","indexId":"70204754","displayToPublicDate":"2019-06-19T10:43:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Widespread initiation, reactivation, and acceleration of landslides in the northern California Coast Ranges due to extreme rainfall","docAbstract":"Episodically to continuously active slow-moving landslides are driven by precipitation.\n Climate change, which is altering both the frequency and magnitude of precipitation world21\nwide, is therefore predicted to have a major impact on landslides. Here we examine the\n behavior of hundreds of slow-moving landslides in northern California in response to large\n changes in annual precipitation that occurred between 2016 and 2018. We quantify the\n landslide displacement using repeat-pass radar interferometry and pixel offset tracking\n techniques on a novel dataset from the airborne NASA/JPL Uninhabited Aerial Vehicle Synthetic Aperture Radar. We found that 312 landslides were moving due to extreme\n rainfall during 2017, compared to 119 during 2016, which was the final year of a historic\n multi-year drought. However, with a return to below average rainfall in 2018, only 146\n landslides remained in motion. The increased number of landslides during 2017 was primarily accommodated by landslides that were smaller than the landslides that remained\n active between 2016 and 2018. Furthermore, by examining a subset of 51 landslides, we\nfound that 49 had increased velocities during 2017 when compared to 2016. Our results\nshow that slow-moving landslides are sensitive to large changes in annual precipitation,\n particularly the smaller and thinner landslides that likely experience larger basal pore\nwater pressure changes. Based on climate model predictions for the next century in California, which include increases in annual precipitation and increases in the frequency\n of dry-to-wet extremes, we hypothesize that there will be an overall increase in landslide\n activity.","language":"English","publisher":"Wiley","doi":"10.1029/2019JF005035","usgsCitation":"Handwerger, A.L., Fielding, E.J., Huang, M., Bennett, G.L., Liang, C., and Schulz, W.H., 2019, Widespread initiation, reactivation, and acceleration of landslides in the northern California Coast Ranges due to extreme rainfall: Journal of Geophysical Research: Earth Surface, v. 24, no. 7, p. 1782-1797, https://doi.org/10.1029/2019JF005035.","productDescription":"16 p.","startPage":"1782","endPage":"1797","ipdsId":"IP-108822","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467519,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019jf005035","text":"External Repository"},{"id":366567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern California Coast Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.12628173828126,\n              40.686886382151116\n            ],\n            [\n              -123.24737548828124,\n              39.614152077002664\n            ],\n            [\n              -122.64587402343751,\n              39.743098286948275\n            ],\n            [\n              -123.55499267578125,\n              40.79301881008675\n            ],\n            [\n              -124.12628173828126,\n              40.686886382151116\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Handwerger, Alexander L.","contributorId":218095,"corporation":false,"usgs":false,"family":"Handwerger","given":"Alexander","email":"","middleInitial":"L.","affiliations":[{"id":39742,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.","active":true,"usgs":false}],"preferred":false,"id":768312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fielding, Eric J.","contributorId":218096,"corporation":false,"usgs":false,"family":"Fielding","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":39742,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.","active":true,"usgs":false}],"preferred":false,"id":768313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Mong-Han","contributorId":192699,"corporation":false,"usgs":false,"family":"Huang","given":"Mong-Han","email":"","affiliations":[],"preferred":false,"id":768314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Georgina L.","contributorId":218097,"corporation":false,"usgs":false,"family":"Bennett","given":"Georgina","email":"","middleInitial":"L.","affiliations":[{"id":39743,"text":"School of Environmental Sciences, University of East Anglia, Norwich, UK.","active":true,"usgs":false}],"preferred":false,"id":768315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liang, Cunren","contributorId":172629,"corporation":false,"usgs":false,"family":"Liang","given":"Cunren","email":"","affiliations":[],"preferred":false,"id":768316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schulz, William H. 0000-0001-9980-3580 wschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-9980-3580","contributorId":942,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"wschulz@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":768317,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203851,"text":"70203851 - 2019 - iCoast – Did the Coast Change?:  Storm-impact model verification using citizen scientists","interactions":[],"lastModifiedDate":"2019-06-18T15:20:50","indexId":"70203851","displayToPublicDate":"2019-06-18T15:20:07","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"iCoast – Did the Coast Change?:  Storm-impact model verification using citizen scientists","docAbstract":"The USGS provides model predictions of severe storm impacts prior to landfall based on pre-storm morphology and predicted total water levels, including waves and surge. Presented in near real time on the USGS Coastal Change Hazard Portal, they provide coastal residents, scientists, and emergency managers valuable coastal response information. iCoast – Did the Coast Change?, an online tool for comparing pre- and post-storm photography, allows volunteer citizen scientist help researchers classify storm impacts through aerial photography. Using spatially matched pre- and post-storm image pairs from Hurricane Sandy, iCoast users identified the coastal processes seen in each image. These classifications were compared to the predictive model probabilities just prior to Sandy’s landfall. User classifications agreed with the model predictions with a high degree of confidence for dune erosion and overwash. However, for inundation, user classifications, limited to observations of island breaching, were less confident and should be used with caution","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the 9th International Conference Coastal Sediments 2019","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"Coastal Sediments 2019","conferenceDate":"May 27-31, 2019","conferenceLocation":"Tampa/St. Pete, Florida ","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0124","usgsCitation":"Morgan, K.L., Plant, N.G., Stockdon, H.F., and Richard J. Snell, 2019, iCoast – Did the Coast Change?:  Storm-impact model verification using citizen scientists, <i>in</i> Proceedings of the 9th International Conference Coastal Sediments 2019, Tampa/St. Pete, Florida , May 27-31, 2019, p. 1424-1438, https://doi.org/10.1142/9789811204487_0124.","productDescription":"15 p.","startPage":"1424","endPage":"1438","ipdsId":"IP-105504","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":364801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364732,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1142/9789811204487_0124"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Morgan, Karen L. M. 0000-0002-2994-5572 kmorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-2994-5572","contributorId":193094,"corporation":false,"usgs":true,"family":"Morgan","given":"Karen","email":"kmorgan@usgs.gov","middleInitial":"L. M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":764458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":764459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":764460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richard J. Snell 0000-0002-7831-075X","orcid":"https://orcid.org/0000-0002-7831-075X","contributorId":216299,"corporation":false,"usgs":false,"family":"Richard J. Snell","affiliations":[{"id":39391,"text":"Cherokee Nation Technologies contracting to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":764461,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203900,"text":"70203900 - 2019 - Event detection performance of the PLUM earthquake early warning algorithm in southern California","interactions":[],"lastModifiedDate":"2019-08-13T16:01:01","indexId":"70203900","displayToPublicDate":"2019-06-18T12:49:15","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":"Event detection performance of the PLUM earthquake early warning algorithm in southern California","docAbstract":"We test the Japanese ground‐motion‐based earthquake early warning (EEW) algorithm, propagation of local undamped motion (PLUM), in southern California with application to the U.S. ShakeAlert system. In late 2018, ShakeAlert began limited public alerting in Los Angeles to areas of expected modified Mercalli intensity (⁠IMMI⁠) 4.0+ for magnitude 5.0+ earthquakes. Most EEW systems, including ShakeAlert, use source‐based methods: they estimate the location, magnitude, and origin time of an earthquake from P waves and use a ground‐motion prediction equation to identify regions of expected strong shaking. The PLUM algorithm uses observed ground motions directly to define alert areas and was developed to address deficiencies in the Japan Meteorological Agency source‐based EEW system during the 2011 Mw 9.0 Tohoku earthquake sequence. We assess PLUM using (a) a dataset of 193 magnitude 3.5+ earthquakes that occurred in southern California between 2012 and 2017 and (b) the ShakeAlert testing and certification suite of 49 earthquakes and other seismic signals. The latter suite includes events that challenge the current ShakeAlert algorithms. We provide a first‐order performance assessment using event‐based metrics similar to those used by ShakeAlert. We find that PLUM can be configured to successfully issue alerts using IMMI trigger thresholds that are lower than those implemented in Japan. Using two stations, a trigger threshold of IMMI 4.0 for the first station and a threshold of IMMI 2.5 for the second station PLUM successfully detect 12 of 13 magnitude 5.0+ earthquakes and issue no false alerts. PLUM alert latencies were similar to and in some cases faster than source‐based algorithms, reducing area that receives no warning near the source that generally have the highest ground motions. PLUM is a simple, independent seismic method that may complement existing source‐based algorithms in EEW systems, including the ShakeAlert system, even when alerting to light (⁠IMMI 4.0) or higher ground‐motion levels.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180326","usgsCitation":"Cochran, E.S., Bunn, J., Minson, S.E., Baltay Sundstrom, A.S., Kilb, D.L., Kodera, Y., and Hoshiba, M., 2019, Event detection performance of the PLUM earthquake early warning algorithm in southern California: Bulletin of the Seismological Society of America, v. 109, no. 4, https://doi.org/10.1785/0120180326.","productDescription":"18 p.","startPage":"1524-1541","ipdsId":"IP-103549","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":364838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364822,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.geoscienceworld.org/ssa/bssa/article/571629/event-detection-performance-of-the-plum-earthquake"}],"country":"United 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sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":764654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":764655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kilb, Deborah L.","contributorId":216380,"corporation":false,"usgs":false,"family":"Kilb","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":37799,"text":"SCRIPPS","active":true,"usgs":false}],"preferred":false,"id":764656,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kodera, Y.","contributorId":216381,"corporation":false,"usgs":false,"family":"Kodera","given":"Y.","affiliations":[{"id":39398,"text":"JMA","active":true,"usgs":false}],"preferred":false,"id":764657,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoshiba, Mitsuyuki","contributorId":216382,"corporation":false,"usgs":false,"family":"Hoshiba","given":"Mitsuyuki","email":"","affiliations":[{"id":39398,"text":"JMA","active":true,"usgs":false}],"preferred":false,"id":764658,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204629,"text":"70204629 - 2019 - Seasonal occurrence and abundance of dabbling ducks across the continental United States: Joint spatio-temporal modelling for the Genus Anas","interactions":[],"lastModifiedDate":"2019-08-07T09:55:37","indexId":"70204629","displayToPublicDate":"2019-06-18T09:52:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seasonal occurrence and abundance of dabbling ducks across the continental United States: Joint spatio‐temporal modelling for the Genus <i>Anas</i>","title":"Seasonal occurrence and abundance of dabbling ducks across the continental United States: Joint spatio-temporal modelling for the Genus Anas","docAbstract":"Estimating the distribution and abundance of wildlife is an essential task in species conservation, wildlife management and habitat prioritization. Although a host of methods and tools have been proposed to accomplish this undertaking, several challenges remain in accurately forecasting occurrence and abundance for highly mobile species. Exhibiting extensive geographic ranges with seasonally varying local occupancy, migratory ducks are exemplar highly mobile species and are foci for waterfowl conservation and management globally. With the goal of informing species conservation and management, our aim was to leverage citizen science data to estimate occurrence and relative abundance for ten dabbling duck species across the continental United States.","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12960","usgsCitation":"Humphreys, J.M., Murrow, J.L., Sullivan, J.D., and Prosser, D., 2019, Seasonal occurrence and abundance of dabbling ducks across the continental United States: Joint spatio-temporal modelling for the Genus Anas: Diversity and Distributions, v. 25, no. 9, p. 1497-1508, https://doi.org/10.1111/ddi.12960.","productDescription":"12 p.","startPage":"1497","endPage":"1508","ipdsId":"IP-099378","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467522,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12960","text":"Publisher Index Page"},{"id":366329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"25","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Humphreys, John M.","contributorId":217932,"corporation":false,"usgs":false,"family":"Humphreys","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":767835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murrow, Jennifer L.","contributorId":217933,"corporation":false,"usgs":false,"family":"Murrow","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":767836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Jeffery D.","contributorId":202910,"corporation":false,"usgs":false,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":767837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767834,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203979,"text":"70203979 - 2019 - Negative impacts of summer heat on Sierra Nevada tree seedlings","interactions":[],"lastModifiedDate":"2019-06-26T09:15:02","indexId":"70203979","displayToPublicDate":"2019-06-18T09:03:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Negative impacts of summer heat on Sierra Nevada tree seedlings","docAbstract":"Understanding the response of forests to climate change is important for predicting changes in biodiversity and ecosystem services, including carbon storage. Seedlings represent a key demographic stage in these responses, because seedling establishment is necessary for population persistence and spread, and because the conditions allowing seedlings to survive and grow are often more restrictive than those adults can tolerate. However, detailed long‐term data on the responses of individual seedlings to climatic variation are rare. Here, we analyze a decade of seedling growth and survival data collected in 25 long‐term plots located in Sequoia and Yosemite National Parks. The forest types represented range from lower‐elevation mixed conifer, to red fir‐dominated, to high‐elevation western white pine stands. Twelve species, including two oaks and ten conifers, are found across these plots. Survival and transition to larger size classes are modeled within a Bayesian framework as a function of species, size, fire, and various climate variables. We initially expected that precipitation‐related variables would have a strong effect on seedling survival and growth in this Mediterranean‐climate region and that some species might respond positively to higher temperatures if they are adapted to warmer low‐elevation areas or to higher‐than‐average temperatures if they are high‐elevation species whose growing seasons are limited by cold. However, we found that higher July maximum temperature or temperature anomalies were associated with lower survival and growth for most species, while precipitation and snow effects were weaker and more variable. Higher precipitation had a positive effect on survival of most species, but snow effects and precipitation effects on growth could be negative. Given the estimated climate responses, under potential future scenarios of higher summer temperatures and altered precipitation, most species are predicted to have lower survival and reduced growth. This is likely to favor species that have relatively high survival and growth and less negative responses to climatic shift (such as several of the pines) and perhaps lead to a more open forest structure—or potentially transition to non‐forest vegetation types where seedling recruitment does not keep pace with adult mortality.","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.2776","usgsCitation":"Moran, E.V., Das, A., Keeley, J., and Stephenson, N.L., 2019, Negative impacts of summer heat on Sierra Nevada tree seedlings: Ecosphere, v. 10, no. 6, e02776; 22 p., https://doi.org/10.1002/ecs2.2776.","productDescription":"e02776; 22 p.","ipdsId":"IP-107400","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467523,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2776","text":"Publisher Index Page"},{"id":437415,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96ENO3D","text":"USGS data release","linkHelpText":"Seedling and tree data from Sequoia National Park and Yosemite National Park"},{"id":365053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sequoia National Park, Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.45046997070314,\n              36.3106987841827\n            ],\n            [\n              -118.36395263671875,\n              36.41354670392873\n            ],\n            [\n              -118.35159301757811,\n              36.44227556709968\n            ],\n            [\n              -118.25408935546875,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":765071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":765072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":765069,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216035,"text":"70216035 - 2019 - Land-use change and the ecological consequences of personality in small mammals","interactions":[],"lastModifiedDate":"2020-11-04T00:22:08.54263","indexId":"70216035","displayToPublicDate":"2019-06-17T18:18:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Land-use change and the ecological consequences of personality in small mammals","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Many plants rely on animals for seed dispersal, but are all individuals equally effective at dispersing seeds? If not, then the loss of certain individual dispersers from populations could have cascade effects on ecosystems. Despite the importance of seed dispersal for forest ecosystems, variation among individual dispersers and whether land‐use change interferes with this process remains untested. Through a large‐scale field experiment conducted on small mammal seed dispersers, we show that an individual's personality affects its choice of seeds, as well as how distant and where seeds are cached. We also show that anthropogenic habitat modifications shift the distribution of personalities within a population, by increasing the proportion of bold, active, and anxious individuals and in‐turn affecting the potential survival and dispersal of seeds. We demonstrate that preserving diverse personality types within a population is critical for maintaining the key ecosystem function of seed dispersal.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/ele.13324","usgsCitation":"Brehm, A., Mortelliti, A., Maynard, G.A., and Zydlewski, J.D., 2019, Land-use change and the ecological consequences of personality in small mammals: Ecology Letters, v. 22, no. 9, p. 1387-1395, https://doi.org/10.1111/ele.13324.","productDescription":"8 p.","startPage":"1387","endPage":"1395","ipdsId":"IP-105727","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467524,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/ele.13324","text":"External Repository"},{"id":380098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"9","noUsgsAuthors":false,"publicationDate":"2019-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Brehm, Allison M.","contributorId":244352,"corporation":false,"usgs":false,"family":"Brehm","given":"Allison M.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":803836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mortelliti, Alessio","contributorId":244353,"corporation":false,"usgs":false,"family":"Mortelliti","given":"Alessio","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":803837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maynard, George A.","contributorId":244354,"corporation":false,"usgs":false,"family":"Maynard","given":"George","email":"","middleInitial":"A.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":803838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":803839,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223321,"text":"70223321 - 2019 - Reserve design to optimize functional connectivity and animal density","interactions":[],"lastModifiedDate":"2021-08-23T23:10:29.571892","indexId":"70223321","displayToPublicDate":"2019-06-17T18:06:21","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":"Reserve design to optimize functional connectivity and animal density","docAbstract":"<p><span>Ecological distance-based spatial capture–recapture models (SCR) are a promising approach for simultaneously estimating animal density and connectivity, both of which affect spatial population processes and ultimately species persistence. We explored how SCR models can be integrated into reserve-design frameworks that explicitly acknowledge both the spatial distribution of individuals and their space use resulting from landscape structure. We formulated the design of wildlife reserves as a budget-constrained optimization problem and conducted a simulation to explore 3 different SCR-informed optimization objectives that prioritized different conservation goals by maximizing the number of protected individuals, reserve connectivity, and density-weighted connectivity. We also studied the effect on our 3 objectives of enforcing that the space-use requirements of individuals be met by the reserve for individuals to be considered conserved (referred to as home-range constraints). Maximizing local population density resulted in fragmented reserves that would likely not aid long-term population persistence, and maximizing the connectivity objective yielded reserves that protected the fewest individuals. However, maximizing density-weighted connectivity or preemptively imposing home-range constraints on reserve design yielded reserves of largely spatially compact sets of parcels covering high-density areas in the landscape with high functional connectivity between them. Our results quantify the extent to which reserve design is constrained by individual home-range requirements and highlight that accounting for individual space use in the objective and constraints can help in the design of reserves that balance abundance and connectivity in a biologically relevant manner.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.13369","usgsCitation":"Gupta, A., Dilkina, B., Morin, D., Fuller, A.K., Royle, A., Sutherland, C., and Gomes, C., 2019, Reserve design to optimize functional connectivity and animal density: Conservation Biology, v. 35, no. 5, p. 1023-1034, https://doi.org/10.1111/cobi.13369.","productDescription":"12 p.","startPage":"1023","endPage":"1034","ipdsId":"IP-102003","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467525,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.13369","text":"Publisher Index Page"},{"id":388399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gupta, Amrita 0000-0003-2643-5865","orcid":"https://orcid.org/0000-0003-2643-5865","contributorId":264600,"corporation":false,"usgs":false,"family":"Gupta","given":"Amrita","email":"","affiliations":[{"id":54512,"text":"Georgia Institute of Techniology","active":true,"usgs":false}],"preferred":false,"id":821726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dilkina, Bistra 0000-0002-6784-473X","orcid":"https://orcid.org/0000-0002-6784-473X","contributorId":264601,"corporation":false,"usgs":false,"family":"Dilkina","given":"Bistra","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":821727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morin, Dana","contributorId":264602,"corporation":false,"usgs":false,"family":"Morin","given":"Dana","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":821728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":821725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":821729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sutherland, Chris","contributorId":264603,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":821730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomes, Carla","contributorId":264604,"corporation":false,"usgs":false,"family":"Gomes","given":"Carla","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":821731,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203909,"text":"70203909 - 2019 - Spatial patterns of meadow sensitivities to interannual climate variability in the Sierra Nevada","interactions":[],"lastModifiedDate":"2019-10-28T09:55:47","indexId":"70203909","displayToPublicDate":"2019-06-17T15:37:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns of meadow sensitivities to interannual climate variability in the Sierra Nevada","docAbstract":"Conservation of montane meadows is a high priority for land and water managers given their critical role in buffering the effects of climate variability and their vulnerability to increasing temperatures and evaporative demands. Recent advances in cloud computing have provided new opportunities to examine ecological responses to climate variability over the past few decades, and at large spatial scales.  In this study we characterized the sensitivities (magnitude and direction of the slope) of meadow vegetation responses to interannual variations in climate. We calculated sensitivity as the regression slope between a 35-year (1985-2016) time series of Landsat-derived vegetation indices characterizing late-season vegetation vigor and water balance variables from the Basin Characterization Model. We identified April 1 snowpack as the climate variable the majority of meadows were most sensitive to. We assessed how vegetation sensitivities to snowpack varied with hydrogeomorphic context (e.g., climate, geology, soils, watershed geometry and land cover) across the Sierra Nevada mountain range using factor analysis to reduce the dimensionality of the hydrogeomorphic data, and multiple linear regression to model sensitivity responses. We found that meadow sensitivities to snowpack varied with long-term average meadow climate, indicators of watershed subsurface water storage capacity, and indicators of meadow vegetation composition. Alpine and sub-alpine meadows with high average annual precipitation, but limited catchment subsurface storage exhibited the largest sensitivities. Our results provide a novel regional perspective on spatial patterns of meadow sensitivities to climate variability and the landscape-scale hydrogeomorphic factors that influence late-season water availability in meadow ecosystems in the Sierra Nevada.","language":"English","publisher":"Wiley","doi":"10.1002/eco.2128","usgsCitation":"Albano, C.M., McClure, M.L., Gross, S.E., Kitlasten, W., Soulard, C., Charles Morton, and Huntington, J., 2019, Spatial patterns of meadow sensitivities to interannual climate variability in the Sierra Nevada: Ecohydrology, v. 12, no. 7, e2128, 20 p., https://doi.org/10.1002/eco.2128.","productDescription":"e2128, 20 p.","ipdsId":"IP-103662","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467526,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2128","text":"Publisher Index Page"},{"id":364849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364848,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/abs/10.1002/eco.2128"}],"country":"United States","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122,\n              37.5\n            ],\n            [\n              -119.5,\n              37.5\n            ],\n            [\n              -119.5,\n              40\n            ],\n            [\n              -122,\n              40\n            ],\n            [\n              -122,\n              37.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Albano, Christine M.","contributorId":182427,"corporation":false,"usgs":false,"family":"Albano","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":764705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClure, Meredith L.","contributorId":216395,"corporation":false,"usgs":false,"family":"McClure","given":"Meredith","email":"","middleInitial":"L.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":764706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gross, Shana E.","contributorId":216396,"corporation":false,"usgs":false,"family":"Gross","given":"Shana","email":"","middleInitial":"E.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":764707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kitlasten, Wesley","contributorId":216397,"corporation":false,"usgs":true,"family":"Kitlasten","given":"Wesley","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soulard, Christopher 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":216394,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":764704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Charles Morton","contributorId":169457,"corporation":false,"usgs":false,"family":"Charles Morton","affiliations":[{"id":25514,"text":"UNR Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":764709,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huntington, Justin","contributorId":169456,"corporation":false,"usgs":false,"family":"Huntington","given":"Justin","email":"","affiliations":[{"id":25514,"text":"UNR Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":764710,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203906,"text":"70203906 - 2019 - Transient population dynamics impede restoration and may promote ecosystem transformation after disturbance","interactions":[],"lastModifiedDate":"2019-08-15T12:28:34","indexId":"70203906","displayToPublicDate":"2019-06-17T12:26:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Transient population dynamics impede restoration and may promote ecosystem transformation after disturbance","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The apparent failure of ecosystems to recover from increasingly widespread disturbance is a global concern. Despite growing focus on factors inhibiting resilience and restoration, we still know very little about how demographic and population processes influence recovery. Using inverse and forward demographic modelling of 531 post‐fire sagebrush populations across the western US, we show that demographic processes during recovery from seeds do not initially lead to population growth but rather to years of population decline, low density, and risk of extirpation after disturbance and restoration, even at sites with potential to support long‐term, stable populations. Changes in population structure, and resulting transient population dynamics, lead to a &gt;&nbsp;50% decline in population growth rate after disturbance and significant reductions in population density. Our results indicate that demographic processes influence the recovery of ecosystems from disturbance and that demographic analyses can be used by resource managers to anticipate ecological transformation risk.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/ele.13291","usgsCitation":"Shriver, R.K., Andrews, C.M., Arkle, R., Barnard, D., Duniway, M.C., Germino, M., Pilliod, D.S., Pyke, D.A., Welty, J.L., and Bradford, J.B., 2019, Transient population dynamics impede restoration and may promote ecosystem transformation after disturbance: Ecology Letters, v. 22, no. 9, p. 1357-1366, https://doi.org/10.1111/ele.13291.","productDescription":"10 p.","startPage":"1357","endPage":"1366","ipdsId":"IP-102713","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437417,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P944D1YU","text":"USGS data release","linkHelpText":"Demographic modeling data (including code) at various sites in the Great Basin, USA"},{"id":364835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Shriver, Robert K. 0000-0002-4590-4834","orcid":"https://orcid.org/0000-0002-4590-4834","contributorId":210332,"corporation":false,"usgs":true,"family":"Shriver","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, Caitlin M. 0000-0003-4593-1071 candrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4593-1071","contributorId":192985,"corporation":false,"usgs":true,"family":"Andrews","given":"Caitlin","email":"candrews@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":149893,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","email":"rarkle@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":764678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, David","contributorId":216338,"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":764679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":764681,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":764682,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","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":764683,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welty, Justin L. 0000-0001-7829-7324 jwelty@usgs.gov","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":4206,"corporation":false,"usgs":true,"family":"Welty","given":"Justin","email":"jwelty@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":764684,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764685,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70204510,"text":"70204510 - 2019 - Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study","interactions":[],"lastModifiedDate":"2019-07-30T10:57:45","indexId":"70204510","displayToPublicDate":"2019-06-17T10:54:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study","docAbstract":"Determining how to best manage an epidemiological outbreak may be hindered by both epidemiological uncertainty (i.e. about epidemiological processes) and operational uncertainty (i.e. about the effectiveness of candidate interventions). These two uncertainties are rarely addressed concurrently in epidemic studies, impeding decision-making.  We present an approach to simultaneously address both sources of uncertainty. Epidemiological uncertainty is represented by a large ensemble of models of the 2014 West African Ebola outbreak. Operational uncertainty about the effectiveness of three classes of intervention is assessed for a wide range of potential effectiveness for each intervention. We ranked each intervention in terms of caseload reduction in each model, initially assuming an unlimited budget. To explore the role of budget limitation, we assessed the influence of three candidate cost functions relating intervention effectiveness and cost for different budget levels. The Value of Information (VoI) to resolve uncertainty is generally high in this study; appropriate information gain could reduce expected caseload by more than 50%. The ranking of interventions is jointly determined by the underlying epidemiological process, the effectiveness of the interventions and the size of the budget available for the program. An epidemiologically effective intervention might not be optimal if its costs outweigh its epidemiological benefit. Under higher budget conditions, resolution of epidemiological uncertainty is most valuable. When budgets are tight, however, operational and epidemiological uncertainty are equally important. Overall, our study demonstrates that significant public health improvements could result from a careful examination of both epidemiological and operational uncertainties within the same modelling structure. This approach can be applied to decision-making for management of other diseases for which multiple models and multiple interventions are available.","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2019.0774","usgsCitation":"Li, S., Ferrari, M.J., Bjornstad, O.N., Runge, M.C., Fonnesbeck, C.J., Tildesley, M.J., Pannell, D., and Shea, K., 2019, Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study: Proceedings of the Royal Society B, v. 286, no. 1905, Article 20190774, https://doi.org/10.1098/rspb.2019.0774.","productDescription":"Article 20190774","numberOfPages":"10","ipdsId":"IP-101702","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2019.0774","text":"Publisher Index Page"},{"id":366044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"286","issue":"1905","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Shou-Li","contributorId":193644,"corporation":false,"usgs":false,"family":"Li","given":"Shou-Li","email":"","affiliations":[],"preferred":false,"id":767337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrari, Matthew J. 0000-0001-5251-8168","orcid":"https://orcid.org/0000-0001-5251-8168","contributorId":216186,"corporation":false,"usgs":false,"family":"Ferrari","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":767338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjornstad, Ottar N. 0000-0002-1158-3753","orcid":"https://orcid.org/0000-0002-1158-3753","contributorId":217708,"corporation":false,"usgs":false,"family":"Bjornstad","given":"Ottar","email":"","middleInitial":"N.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":767339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fonnesbeck, Christopher J","contributorId":216185,"corporation":false,"usgs":false,"family":"Fonnesbeck","given":"Christopher","email":"","middleInitial":"J","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":767340,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tildesley, Michael J.","contributorId":126971,"corporation":false,"usgs":false,"family":"Tildesley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6620,"text":"University of Nottingham, School of Biology","active":true,"usgs":false}],"preferred":false,"id":767341,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pannell, David","contributorId":217709,"corporation":false,"usgs":false,"family":"Pannell","given":"David","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":767342,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":767343,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70203947,"text":"70203947 - 2019 - Exploring controls on debris-flow surge velocity and peak discharge at Chalk Cliffs, Colorado, USA","interactions":[],"lastModifiedDate":"2019-06-25T10:13:35","indexId":"70203947","displayToPublicDate":"2019-06-17T10:13:19","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploring controls on debris-flow surge velocity and peak discharge at Chalk Cliffs, Colorado, USA","docAbstract":"We present a series of debris-flow events and use combined sensor and video data to explore how sediment concentration and triggering rainfall intensity affect the velocity and discharge of debris-flow surges generated by surface-water runoff. We analyze an initial data set of 49 surges from four debris-flow events recorded by a monitoring system at Chalk Cliffs, Colorado and compare measurements of surge height, velocity, peak discharge, triggering rainfall intensity, and qualitative estimates of sediment concentration. Measurements of sediment concentration and velocity were obtained using an automated camera system with a high resolution and frame rate. We find that the triggering rainfall intensity of the debris flows, which affects the sediment-to-water ratio, is a strong control on surge velocity and peak discharge. While surges with high and low sediment concentrations both exceed the peak discharge of water-only flow, fluid-rich surges generated by high rainfall intensities have much greater velocities and peak discharges than sediment-rich surges generated by lower rainfall intensities. These observations suggest that rainfall intensity may be an important predictive variable in empirical relationships for estimating the velocity and peak discharge of runoff generated debris flows, which are common in alpine areas and burned steeplands.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, Colorado, USA","language":"English","publisher":"Association of Environmental and Engineering Geologists","usgsCitation":"Smith, J.B., Kean, J.W., and Coe, J.A., 2019, Exploring controls on debris-flow surge velocity and peak discharge at Chalk Cliffs, Colorado, USA, <i>in</i> Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019, Golden, Colorado, USA, June 10-13, 2019, p. 199-206.","productDescription":"8 p.","startPage":"199","endPage":"206","ipdsId":"IP-105777","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":364950,"type":{"id":15,"text":"Index Page"},"url":"https://mountainscholar.org/handle/11124/173051"},{"id":365001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Chalk Cliffs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.7978515625,\n              37.80544394934271\n            ],\n            [\n              -103.9801025390625,\n              37.80544394934271\n            ],\n            [\n              -103.9801025390625,\n              40.271143686084194\n            ],\n            [\n              -107.7978515625,\n              40.271143686084194\n            ],\n            [\n              -107.7978515625,\n              37.80544394934271\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764899,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203950,"text":"70203950 - 2019 - An evaluation of debris-flow runout model accuracy and complexity in Montecito, CA:  Towards a framework for regional inundation-hazard forecasting","interactions":[],"lastModifiedDate":"2019-06-25T10:02:41","indexId":"70203950","displayToPublicDate":"2019-06-17T10:02:09","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An evaluation of debris-flow runout model accuracy and complexity in Montecito, CA:  Towards a framework for regional inundation-hazard forecasting","docAbstract":"Numerous debris-flow inundation models have been applied retroactively to noteworthy events around the world. While such studies can be useful in identifying controlling factors, calibrating model parameters, and assessing future hazards in specific study areas, model parameters tailored to individual events can be difficult to apply regionally. The advancement of debris-flow modeling applications from post-event model validation of individual case studies to pre-event forecasting that can be implemented rapidly and at regional scales is critical considering the fatalities and extensive infrastructure damage caused by debris flows that inundated a developed fan in Montecito, CA following heavy rain on 9 January 2018. In this study, we evaluated the tradeoffs between model accuracy and simplicity in the context of the need for a framework that can be used in conjunction with initiation models and storm predictions for rapid, large-scale inundation hazard mapping as a component of post-fire debris-flow hazard assessments. We used numerical (FLO-2D) and empirical (LAHARZ) models to simulate debris flows from one of the drainages upstream of Montecito that was burned in the Thomas Fire in December 2017 and compared model results with field observations and building damage assessments collected immediately following the event. Initial testing demonstrated that LAHARZ can simulate channelized flow but is not able to replicate flow bifurcations or avulsions, which are critical aspects of flows travelling over populated fans. FLO-2D simulations matched well with observed inundation area data, but variably under and overpredicted inundation height, deposit depth, and velocity. We found that FLO-2D and LAHARZ had true positive rates of 0.84 and 0.6, respectively, and both models had similar false positive rates (0.3 and 0.35, respectively). Our model evaluation framework allowed us to compare model results with detailed field observations and will serve as a platform for more extensive model testing in the future.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, Colorado","language":"English","publisher":"Association of Environmental and Engineering Geologists","usgsCitation":"Bessette-Kirton, E., Kean, J.W., Coe, J.A., Rengers, F.K., and Staley, D.M., 2019, An evaluation of debris-flow runout model accuracy and complexity in Montecito, CA:  Towards a framework for regional inundation-hazard forecasting, <i>in</i> Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019, Golden, Colorado, June 10-13, 2019, p. 257-264.","productDescription":"8 p.","startPage":"257","endPage":"264","ipdsId":"IP-105196","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":364953,"type":{"id":15,"text":"Index Page"},"url":"https://mountainscholar.org/handle/11124/173051"},{"id":364999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Montecito","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.65690612792969,\n              34.420504880133834\n            ],\n            [\n              -119.60214614868164,\n              34.420504880133834\n            ],\n            [\n              -119.60214614868164,\n              34.45179381673195\n            ],\n            [\n              -119.65690612792969,\n              34.45179381673195\n            ],\n            [\n              -119.65690612792969,\n              34.420504880133834\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bessette-Kirton, Erin 0000-0002-2797-0694 ebessette-kirton@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-0694","contributorId":177153,"corporation":false,"usgs":true,"family":"Bessette-Kirton","given":"Erin","email":"ebessette-kirton@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764924,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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