{"pageNumber":"220","pageRowStart":"5475","pageSize":"25","recordCount":40783,"records":[{"id":70221485,"text":"70221485 - 2021 - Effects of tidally varying river flow on entrainment of juvenile salmon into Sutter and Steamboat Sloughs","interactions":[],"lastModifiedDate":"2021-06-17T11:39:33.433744","indexId":"70221485","displayToPublicDate":"2021-06-15T06:37:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Effects of tidally varying river flow on entrainment of juvenile salmon into Sutter and Steamboat Sloughs","docAbstract":"

Survival of juvenile salmonids in the Sacramento–San Joaquin Delta (Delta) varies by migration route, and thus the proportion of fish that use each route affects overall survival through the Delta. Understanding factors that drive routing at channel junctions along the Sacramento River is therefore critical to devising management strategies that maximize survival. Here, we examine entrainment of acoustically tagged juvenile Chinook Salmon into Sutter and Steamboat sloughs from the Sacramento River. Because these sloughs divert fish away from the downstream entrances of the Delta Cross Channel and Georgiana Slough (where fish access the low-survival region of the interior Delta), management actions to increase fish entrainment into Sutter and Steamboat sloughs are being investigated to increase through-Delta survival. Previous studies suggest that fish generally “go with the flow”—as net flow into a divergence increases, the proportion of fish that enter that divergence correspondingly increases. However, complex tidal hydrodynamics at sub-daily time-scales may be decoupled from net flow. Therefore, we modeled routing of acoustic tagged juvenile salmon as a function of tidally varying hydrodynamic data, which was collected using temporary gaging stations deployed between March and May of 2014. Our results indicate that discharge, the proportion of flow that entered the slough, and the rate of change of flow were good predictors of an individual’s probability of being entrained. In addition, interactions between discharge and the proportion of flow revealed a non-linear relationship between flow and entrainment probability. We found that the highest proportions of fish are likely to be entrained into Steamboat Slough and Sutter Slough on the ascending and descending limbs of the tidal cycle, when flow changes from positive to negative. Our findings characterize how patterns of entrainment vary with tidal flow fluctuations, providing information critical for understanding the potential effect of management actions (e.g., fish guidance structures) to modify routing probabilities at this location.

Main Content
1Sponsored by the Delta Science Program and the UC Davis Muir InstituteABSTRACTSurvival of juvenile salmonids in the Sacramento–San Joaquin Delta (Delta) varies by migration route, and thus the proportion of fish that use each route affects overall survival through the Delta. Understanding factors that drive routing at channel junctions along the Sacramento River is therefore critical to devising management strategies that maximize survival. Here, we examine entrainment of acoustically tagged juvenile Chinook Salmon into Sutter and Steamboat sloughs from the Sacramento River. Because these sloughs divert fish away from the downstream entrances of the Delta Cross Channel and Georgiana Slough (where fish access SFEWS Volume 19 | Issue 2 | Article 4https://doi.org/10.15447/sfews.2021v19iss2art4* Corresponding author: rperry@usgs.gov1 Western Fisheries Research Center US Geological Survey Cook, WA 98605 USA2 California Water Science Center US Geological Survey Sacramento, CA 95819 USA3 Current address: Mid-Columbia Fish and Wildlife Conservation Office Yakima Basin Program US Fish and Wildlife Service Yakima, WA 98903 USAthe low-survival region of the interior Delta), management actions to increase fish entrainment into Sutter and Steamboat sloughs are being investigated to increase through-Delta survival. Previous studies suggest that fish generally “go with the flow”—as net flow into a divergence increases, the proportion of fish that enter that divergence correspondingly increases. However, complex tidal hydrodynamics at sub-daily time-scales may be decoupled from net flow. Therefore, we modeled routing of acoustic tagged juvenile salmon as a function of tidally varying hydrodynamic data, which was collected using temporary gaging stations deployed between March and May of 2014. Our results indicate that discharge, the proportion of flow that entered the slough, and the rate of change of flow were good predictors of an individual’s probability of being entrained. In addition, interactions between discharge and the proportion of flow revealed a non-linear relationship between flow and entrainment probability. We found that the highest proportions of fish are likely to be entrained into Steamboat Slough and Sutter Slough on the ascending and descending limbs of the tidal cycle, when flow changes from positive to negative. Our findings characterize how patterns of entrainment vary with tidal flow fluctuations, providing information critical for understanding the potential effect of management RESEARCHEffects of Tidally Varying River Flow on Entrainment of Juvenile Salmon into Sutter and Steamboat Sloughs Jason G. Romine1,3, Russell W. Perry*1, Paul R. Stumpner2, Aaron R. Blake2, Jon R. Burau2
2VOLUME 19, ISSUE 2, ARTICLE 4actions (e.g., fish guidance structures) to modify routing probabilities at this location. KEY WORDSTelemetry, juvenile salmon, migration routing, survivalINTRODUCTIONThe Sacramento–San Joaquin River Delta (hereafter referred to as “the Delta”) is a complex series of channels and embayments in west central California of the United States. The Delta has undergone drastic transformation through construction of dikes, levees, reclaimed land, dredged canals and cuts, and water export projects (Nichols et al. 1986). The loss of habitat coupled with introduction of non-native piscivorous fishes has led to the decline of several salmonid stocks that utilize the Delta (Lindley 2009; National Marine Fisheries Service 2014). The physical complexity of the Delta poses significant challenges for understanding how juvenile salmon negotiate the complex channel network and survive in different migration routes. Yet such information is critical for understanding how water-management actions, such as operation of water diversions, influence survival of juvenile salmon.Through-Delta survival of juvenile Chinook Salmon that emigrate from the Sacramento River ranges from 10% to 80%, depending on river flow and migration route (Perry et al. 2018). The Delta can be broken down into four primary routes: (1) Sacramento River, (2) Steamboat and Sutter sloughs, (3) Georgiana Slough, and (4) Delta Cross Channel (DCC). Fish that remain in the Sacramento River consistently have the highest survival (Perry et al. 2010, 2013, 2018). However, fish that enter the interior Delta—the region to the south of the Sacramento River (Figure 1)—have the lowest survival among all routes and survive at less than half the rate of fish in the Sacramento River, likely as a result of longer migration times and exposure to non-native predators (Newman and Brandes 2010; Perry et al. 2018). On average, fish that migrate through Steamboat and Sutter sloughs exhibit survival similar to fish that remain in the Sacramento River at high flows but have lower survival at low flows (Perry et al. 2018). Because of differences in survival among migration routes, the proportion of fish that use each route affects the total survival of the population. Therefore, understanding the drivers behind fish routing in the Delta is imperative to inform management actions that help in the recovery of imperiled salmonid populations in the Central Valley. For example, Perry et al. (2013) found that total survival through the Delta could be increased by up to 7 percentage points by eliminating entrainment into Georgiana Slough and the DCC. These findings led to investigation of management actions to reduce entrainment into the DCC (Plumb et al. 2016) and Georgiana Slough (Perry et al. 2014). Both physical and non-physical barriers have been tested at the entrance to Georgiana Slough divergence (Perry et al. 2014; Romine et al. 2016). A non-physical barrier was able to reduce entrainment to the interior Delta through Georgiana Slough (Perry et al. 2014), but a floating fish-guidance structure reduced entrainment to a lesser extent (Romine et al. 2016). Research and engineering solutions to minimize entrainment have focused on the Georgiana Slough divergence, the DCC divergence, and the Old River divergence in the San Joaquin River (Buchanan et al. 2013; SJRG 2013). However, there has been little focus on understanding fish routing dynamics at other primary river junctions in the Delta, such as Sutter and Steamboat sloughs. Sutter and Steamboat sloughs diverge from the Sacramento about 10 km upstream from the DCC and Georgiana slough, and represent the first major junction that juvenile salmon encounter as they enter the Delta from the Sacramento River (Figure 1). Because Sutter and Steamboat sloughs are upstream of the entrance to the interior Delta via the DCC and Georgiana Slough (Figure 1), juvenile salmon that enter Sutter and Steamboat sloughs avoid entrainment into the interior Delta where survival is low. Thus, management actions to increase entrainment could increase overall.
","language":"English","publisher":"University of California-Davis","doi":"10.15447/sfews.2021v19iss2art4","usgsCitation":"Romine, J., Perry, R., Stumpner, P., Blake, A.R., and Burau, J.R., 2021, Effects of tidally varying river flow on entrainment of juvenile salmon into Sutter and Steamboat Sloughs: San Francisco Estuary and Watershed Science, v. 19, no. 2, p. 1-17, https://doi.org/10.15447/sfews.2021v19iss2art4.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-076148","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":451885,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2021v19iss2art4","text":"Publisher Index Page"},{"id":436309,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HSLFRE","text":"USGS data release","linkHelpText":"Tidal flow dynamics at Sutter and Steamboat Sloughs in the Sacramento-San Joaquin Delta, CA in 2014"},{"id":386562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.14736938476562,\n 38.070798163726785\n ],\n [\n -121.92489624023436,\n 38.070798163726785\n ],\n [\n -121.92489624023436,\n 38.25867146839721\n ],\n [\n -122.14736938476562,\n 38.25867146839721\n ],\n [\n -122.14736938476562,\n 38.070798163726785\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Romine, Jason G.","contributorId":207092,"corporation":false,"usgs":false,"family":"Romine","given":"Jason G.","affiliations":[{"id":37451,"text":"U.S. Fish & Wildlife Service, Mid-Columbia River National Wildlife Refuge Complex, 64 Maple St., Burbank, WA 99323","active":true,"usgs":false}],"preferred":false,"id":817812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220189,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":817813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stumpner, Paul 0000-0002-0933-7895 pstump@usgs.gov","orcid":"https://orcid.org/0000-0002-0933-7895","contributorId":5667,"corporation":false,"usgs":true,"family":"Stumpner","given":"Paul","email":"pstump@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blake, Aaron R. 0000-0001-7348-2336 ablake@usgs.gov","orcid":"https://orcid.org/0000-0001-7348-2336","contributorId":5059,"corporation":false,"usgs":true,"family":"Blake","given":"Aaron","email":"ablake@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burau, Jon R. 0000-0002-5196-5035 jrburau@usgs.gov","orcid":"https://orcid.org/0000-0002-5196-5035","contributorId":1500,"corporation":false,"usgs":true,"family":"Burau","given":"Jon","email":"jrburau@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817816,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70229093,"text":"70229093 - 2021 - Hippopotamus movements structure the spatiotemporal dynamics of an active anthrax outbreak","interactions":[],"lastModifiedDate":"2022-02-28T14:26:25.256675","indexId":"70229093","displayToPublicDate":"2021-06-14T08:13:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Hippopotamus movements structure the spatiotemporal dynamics of an active anthrax outbreak","docAbstract":"

Globally, anthrax outbreaks pose a serious threat to people, livestock, and wildlife. Furthermore, environmental change can exacerbate these outbreak dynamics by altering the host–pathogen relationship. However, little is known about how the quantitative spatial dynamics of host movement and environmental change may affect the spread of Bacillus anthracis, the causative agent of anthrax. Here, we use real-time observations and high-resolution tracking data from a population of common hippopotamus (Hippopotamus amphibius) in Tanzania to explore the relationship between river hydrology, H. amphibius movement, and the spatiotemporal dynamics of an active anthrax outbreak. We found that extreme river drying, a consequence of anthropogenic disturbances to our study river, indirectly facilitated the spread of B. anthracis by modulating H. amphibius movements. Our findings reveal that anthrax spread upstream in the Great Ruaha River (~3.5 km over a 9-day period), which followed the movement patterns of infected H. amphibius, who moved upstream as the river dried in search of remaining aquatic refugia. These upstream movements can result in large aggregations of H. amphibius. However, despite these aggregations, the density of H. amphibius in river pools did not influence the number of B. anthracis-induced mortalities. Moreover, infection by B. anthracis did not appear to influence H. amphibius movement behaviors, which suggests that infected individuals can vector B. anthracis over large distances right up until their death. Finally, we show that contact rates between H. amphibius- and B. anthracis-infected river pools are highly variable and the frequency and duration of contacts could potentially increase the probability of mortality. While difficult to obtain, the quantitative insights that we gathered during a real-time anthrax outbreak are critical to better understand, predict, and manage future outbreaks.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3540","usgsCitation":"Stears, K., Schmitt, M.H., Turner, W.C., McCauley, D., Muse, E.A., Kiwango, H., Matheyo, D., and Mutayoba, B.M., 2021, Hippopotamus movements structure the spatiotemporal dynamics of an active anthrax outbreak: Ecosphere, v. 12, no. 6, e03540, 14 p., https://doi.org/10.1002/ecs2.3540.","productDescription":"e03540, 14 p.","ipdsId":"IP-121950","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":451887,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3540","text":"Publisher Index Page"},{"id":396541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Tanzania","otherGeospatial":"Ruaha National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 33.95874023437499,\n -8.697784143504906\n ],\n [\n 34.87884521484374,\n -8.697784143504906\n ],\n [\n 34.87884521484374,\n -7.917793352627911\n ],\n [\n 33.95874023437499,\n -7.917793352627911\n ],\n [\n 33.95874023437499,\n -8.697784143504906\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Stears, Keenan","contributorId":287054,"corporation":false,"usgs":false,"family":"Stears","given":"Keenan","email":"","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":836456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmitt, Melissa H.","contributorId":287055,"corporation":false,"usgs":false,"family":"Schmitt","given":"Melissa","email":"","middleInitial":"H.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":836457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCauley, Douglas J.","contributorId":287056,"corporation":false,"usgs":false,"family":"McCauley","given":"Douglas J.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":836458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muse, Epaphras A.","contributorId":287060,"corporation":false,"usgs":false,"family":"Muse","given":"Epaphras","email":"","middleInitial":"A.","affiliations":[{"id":61455,"text":"Tanzania National Parks","active":true,"usgs":false}],"preferred":false,"id":836459,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kiwango, Halima","contributorId":287062,"corporation":false,"usgs":false,"family":"Kiwango","given":"Halima","email":"","affiliations":[{"id":61455,"text":"Tanzania National Parks","active":true,"usgs":false}],"preferred":false,"id":836460,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matheyo, Daniel","contributorId":287063,"corporation":false,"usgs":false,"family":"Matheyo","given":"Daniel","email":"","affiliations":[{"id":61455,"text":"Tanzania National Parks","active":true,"usgs":false}],"preferred":false,"id":836461,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mutayoba, Benezeth M.","contributorId":287064,"corporation":false,"usgs":false,"family":"Mutayoba","given":"Benezeth","email":"","middleInitial":"M.","affiliations":[{"id":61457,"text":"Sokoine University of Agriculture","active":true,"usgs":false}],"preferred":false,"id":836462,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70224310,"text":"70224310 - 2021 - Spatial Gaussian processes improve multi-species occupancy models when range boundaries are uncertain and nonoverlapping","interactions":[],"lastModifiedDate":"2021-09-21T12:39:44.167853","indexId":"70224310","displayToPublicDate":"2021-06-14T07:37:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Spatial Gaussian processes improve multi-species occupancy models when range boundaries are uncertain and nonoverlapping","docAbstract":"
  1. Species distribution models enable practitioners to analyze large datasets of encounter records and make predictions about species occurrence at unsurveyed locations. In omnibus surveys that record data on multiple species simultaneously, species ranges are often nonoverlapping and misaligned with the administrative unit defining the spatial domain of interest (e.g., a state or province). Consequently, some species display differentially restricted extents within a study area. Assuming hard boundaries based on expert opinion or published range maps to restrict species occurrence predictions implies a false sense of certainty in model-based inferences.
  2. We propose a multi-species occupancy model with a spatial Gaussian process on site-specific effects for each species as a model-based solution. Specifying informative Bayesian hyperpriors on the spatial hyperparameters encapsulates broad-scale correlation among site occupancy probabilities for each species. We fit this model to acoustic detection/nondetection data collected with autonomous recording units during summer of 2016–2019 throughout Oregon and Washington, USA, on 15 bat species.
  3. We found vast improvements in spatial predictions of spotted bat (Euderma maculatum), canyon bat (Parastrellus hesperus), and Brazilian free-tailed bat (Tadarida brasiliensis) when the available environmental predictors were insufficient for characterizing their restricted ranges within the region.
  4. In contrast, widespread species (Lasionycteris noctivagans, Myotis californicus, Myotis evotis, Myotis volans) were appropriately modeled using only environmental predictors, such as percentage forest cover and cliff and canyon cover.
  5. Utilizing spatial Gaussian processes within a community or multi-species model incorporates uncertainty in range boundaries and allows for simultaneous predictions for the entire faunal assemblage even if species have nonoverlapping or restricted ranges within a spatial domain of interest. Such modeling improvements are essential if species distribution models are to accurately inform monitoring, species recovery plans, and other conservation efforts.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7629","usgsCitation":"Wright, W., Irvine, K.M., Rodhouse, T., and Litt, A., 2021, Spatial Gaussian processes improve multi-species occupancy models when range boundaries are uncertain and nonoverlapping: Ecology and Evolution, v. 11, no. 13, p. 8516-8527, https://doi.org/10.1002/ece3.7629.","productDescription":"12 p.","startPage":"8516","endPage":"8527","ipdsId":"IP-120600","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":451896,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7629","text":"Publisher Index Page"},{"id":389534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"13","noUsgsAuthors":false,"publicationDate":"2021-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Wilson","contributorId":265899,"corporation":false,"usgs":false,"family":"Wright","given":"Wilson","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":823684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":823685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodhouse, Tom","contributorId":265903,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Tom","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":823686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Litt, Andrea R.","contributorId":22226,"corporation":false,"usgs":true,"family":"Litt","given":"Andrea R.","affiliations":[],"preferred":false,"id":823687,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221514,"text":"70221514 - 2021 - Use of the MODFLOW 6 water mover package to represent natural and managed hydrologic connections","interactions":[],"lastModifiedDate":"2024-09-16T15:57:58.719957","indexId":"70221514","displayToPublicDate":"2021-06-14T07:32:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Use of the MODFLOW 6 water mover package to represent natural and managed hydrologic connections","docAbstract":"

The latest release of MODFLOW 6, the current core version of the MODFLOW groundwater modeling software, debuted a new package dubbed the “mover” (MVR). Using a generalized approach, MVR facilitates the transfer of water among any arbitrary combination of simulated features (i.e., pumping wells, stream, drains, lakes, etc.) within a MODFLOW 6 simulation. Four “rules” controlling the amount of water transferred from a providing feature to a receiving feature are currently available. In this way, MVR can represent natural connections between features, for example streams entering or exiting lakes, and perhaps more interestingly, it also can transfer water among simulated features to more accurately simulate water management. An example model representative of an agricultural setting demonstrates some of the available MVR connections. For example, an irrigation event that transfers surface water from an irrigation delivery ditch to multiple cropped areas demonstrates a “one-to-many” connection that is possible within MVR. Conversely, irrigation or precipitation runoff from multiple fields may be routed to a particular stream segment using “many-to-one” MVR connections. MVR supports many additional connection types, several of which are demonstrated by the included example problem.

","language":"English","publisher":"Wiley","doi":"10.1111/gwat.13117","usgsCitation":"Morway, E.D., Langevin, C.D., and Hughes, J.D., 2021, Use of the MODFLOW 6 water mover package to represent natural and managed hydrologic connections: Groundwater, v. 59, no. 6, p. 913-924, https://doi.org/10.1111/gwat.13117.","productDescription":"12 p.","startPage":"913","endPage":"924","ipdsId":"IP-125159","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":436313,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GQETP9","text":"USGS data release","linkHelpText":"MODFLOW 6 model of two hypothetical stream-aquifer systems to demonstrate the utility of the new Mover Package available only with MODFLOW 6"},{"id":386608,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":817914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":817915,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70226150,"text":"70226150 - 2021 - Advancing estuarine ecological forecasts: Seasonal hypoxia in Chesapeake Bay","interactions":[],"lastModifiedDate":"2021-11-15T12:25:59.286872","indexId":"70226150","displayToPublicDate":"2021-06-14T06:23:04","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Advancing estuarine ecological forecasts: Seasonal hypoxia in Chesapeake Bay","docAbstract":"

Ecological forecasts are quantitative tools that can guide ecosystem management. The coemergence of extensive environmental monitoring and quantitative frameworks allows for widespread development and continued improvement of ecological forecasting systems. We use a relatively simple estuarine hypoxia model to demonstrate advances in addressing some of the most critical challenges and opportunities of contemporary ecological forecasting, including predictive accuracy, uncertainty characterization, and management relevance. We explore the impacts of different combinations of forecast metrics, drivers, and driver time windows on predictive performance. We also incorporate multiple sets of state-variable observations from different sources and separately quantify model prediction error and measurement uncertainty through a flexible Bayesian hierarchical framework. Results illustrate the benefits of (1) adopting forecast metrics and drivers that strike an optimal balance between predictability and relevance to management, (2) incorporating multiple data sources in the calibration data set to separate and propagate different sources of uncertainty, and (3) using the model in scenario mode to probabilistically evaluate the effects of alternative management decisions on future ecosystem state. In the Chesapeake Bay, the subject of this case study, we find that average summer or total annual hypoxia metrics are more predictable than monthly metrics and that measurement error represents an important source of uncertainty. Application of the model in scenario mode suggests that absent watershed management actions over the past decades, long-term average hypoxia would have increased by 7% compared to 1985. Conversely, the model projects that if management goals currently in place to restore the Bay are met, long-term average hypoxia would eventually decrease by 32% with respect to the mid-1980s.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2384","usgsCitation":"Scavia, D., Bertani, I., Testa, J.M., Bever, A.J., Blomquist, J.D., Friedrichs, M.A., Linker, L.C., Michael, B., Murphy, R., and Shenk, G.W., 2021, Advancing estuarine ecological forecasts: Seasonal hypoxia in Chesapeake Bay: Ecological Applications, v. 31, no. 6, e02384, 19 p., https://doi.org/10.1002/eap.2384.","productDescription":"e02384, 19 p.","ipdsId":"IP-126252","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":451901,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/eap.2384","text":"External Repository"},{"id":391676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.2998046875,\n 36.58024660149866\n ],\n [\n -75.322265625,\n 36.58024660149866\n ],\n [\n -75.322265625,\n 39.774769485295465\n ],\n [\n -77.2998046875,\n 39.774769485295465\n ],\n [\n -77.2998046875,\n 36.58024660149866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Scavia, Donald","contributorId":200340,"corporation":false,"usgs":false,"family":"Scavia","given":"Donald","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":826653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertani, Isabella","contributorId":194574,"corporation":false,"usgs":false,"family":"Bertani","given":"Isabella","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":826654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Testa, Jeremy M.","contributorId":244524,"corporation":false,"usgs":false,"family":"Testa","given":"Jeremy","email":"","middleInitial":"M.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":826662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bever, Aaron J.","contributorId":173009,"corporation":false,"usgs":false,"family":"Bever","given":"Aaron","email":"","middleInitial":"J.","affiliations":[{"id":27140,"text":"Delta Modeling Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":826655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blomquist, Joel D. 0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":215461,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826656,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friedrichs, Marjorie A. M. 0000-0003-2828-7595","orcid":"https://orcid.org/0000-0003-2828-7595","contributorId":222588,"corporation":false,"usgs":false,"family":"Friedrichs","given":"Marjorie","email":"","middleInitial":"A. M.","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":826657,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Linker, Lewis C. 0000-0002-3456-3659","orcid":"https://orcid.org/0000-0002-3456-3659","contributorId":252964,"corporation":false,"usgs":false,"family":"Linker","given":"Lewis","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":826658,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michael, Bruce","contributorId":268786,"corporation":false,"usgs":false,"family":"Michael","given":"Bruce","email":"","affiliations":[{"id":55661,"text":"Maryland Dept of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":826659,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Rebecca 0000-0003-3391-1823","orcid":"https://orcid.org/0000-0003-3391-1823","contributorId":199777,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":true,"id":826660,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shenk, Gary W. 0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826661,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70221341,"text":"sir20215045 - 2021 - Effects of climate and land-use change on thermal springs recharge—A system-based coupled surface-water and groundwater-flow model for Hot Springs National Park, Arkansas","interactions":[],"lastModifiedDate":"2021-06-14T12:24:43.182902","indexId":"sir20215045","displayToPublicDate":"2021-06-14T05:49:20","publicationYear":"2021","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":"2021-5045","displayTitle":"Effects of Climate and Land-Use Change on Thermal Springs Recharge—A System-Based Coupled Surface-Water and Groundwater-Flow Model for Hot Springs National Park, Arkansas","title":"Effects of climate and land-use change on thermal springs recharge—A system-based coupled surface-water and groundwater-flow model for Hot Springs National Park, Arkansas","docAbstract":"

A three-dimensional hydrogeologic framework of the Hot Springs anticlinorium beneath Hot Springs National Park, Arkansas, was constructed to represent the complex hydrogeology of the park and surrounding areas to depths exceeding 9,000 feet below ground surface. The framework, composed of 6 rock formations and 1 vertical fault emplaced beneath the thermal springs, was discretized into 19 layers, 429 rows, and 576 columns and incorporated into a 3-dimensional steady-state groundwater-flow model constructed in MODFLOW-2005. Historical daily mean thermal spring flows were simulated for one stress period of approximately 34 years (1980–2014), chosen to represent the period of record for historical climate data used in the quantification of the boundary conditions. The groundwater-flow model was manually calibrated to historical daily mean thermal spring flows of 88,000 cubic feet per day observed over a 12-year period of record (1990–1995 and 1998–2005) at the thermal springs collection system. Calibration was achieved by calculating starting heads and general head boundary conditions from the Bernoulli equation and then adjusting the horizontal and vertical hydraulic conductivities of the rock formations and vertical fault and the hydraulic conductance of head-dependent flux boundaries. The groundwater-flow model was coupled to a surface-water model developed in the Precipitation-Runoff Modeling System (PRMS) by using PRMS-simulated gravity drainage as a specified flux recharge boundary condition in the groundwater-flow model. Together, the coupled models were used to (1) locate the areas of groundwater recharge to the thermal springs in the discretized hydrogeologic framework by using forward and reverse particle-tracking capabilities of MODPATH, (2) simulate the effects of variable recharge rates on the spring flows at the thermal springs, and (3) assess possible effects of climate and land-use change on the long-term variability of spring flows at the thermal springs.

Forward and backward particle-tracking maps indicated that the most prevalent areas of recharge in the discretized hydrogeologic framework used in this study were within about 0.6–0.9 mile of the thermal springs. Forward particle tracking indicated a recharge area southwest of the thermal springs that corresponded to a location where the predominant lithologies are the Arkansas Novaculite, Hot Springs Sandstone, and Bigfork Chert. Backward particle tracking indicated a second localized area of recharge to the northeast of the thermal springs that corresponded to a location where the dominant lithology is the Bigfork Chert. The groundwater-flow model indicated that the most probable recharge formations are the Arkansas Novaculite, Bigfork Chert, and Hot Springs Sandstone.

The simulated effects of climate and land-use changes on the variability of the spring-flow rates at the thermal springs generally resulted in reductions of thermal spring flow attributed to urban development and more extreme climates characterized by elevated mean surface air temperatures. The groundwater-flow model predicted a linear relation between the thermal spring discharge and the cumulative recharge volume applied to the hydrogeologic framework, and the positive slope of the predicted relation between recharge and simulated thermal spring flow indicates that more extreme precipitation events that supply more recharge may in fact increase the thermal spring-flow rates.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215045","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Hart, R.M., Ikard, S.J., Hays, P.D., and Clark, B.R., 2021, Effects of climate and land-use change on thermal springs recharge—A system-based coupled surface-water and groundwater-flow model for Hot Springs National Park, Arkansas: U.S. Geological Survey Scientific Investigations Report 2021–5045, 38 p., https://doi.org/10.3133/sir20215045.","productDescription":"Report: viii, 38 p.; Data Release","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-091576","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"links":[{"id":386401,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5045/coverthb.jpg"},{"id":386402,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5045/sir20215045.pdf","text":"Report","size":"43.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5045"},{"id":386403,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SBJVVL","text":"USGS data release","linkHelpText":"Model inputs and outputs for simulating and predicting the effects of climate and land-use changes on thermal springs recharge—A system-based coupled surface-water and groundwater-flow model for Hot Springs National Park, Arkansas"},{"id":386404,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5045/images"}],"country":"United States","state":"Arkansas","otherGeospatial":"Hot Springs National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.1475830078125,\n 34.487881874939866\n ],\n [\n -92.96012878417969,\n 34.487881874939866\n ],\n [\n -92.96012878417969,\n 34.57273337081573\n ],\n [\n -93.1475830078125,\n 34.57273337081573\n ],\n [\n -93.1475830078125,\n 34.487881874939866\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-06-14","noUsgsAuthors":false,"publicationDate":"2021-06-14","publicationStatus":"PW","contributors":{"authors":[{"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":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ikard, Scott J. 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":207285,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":817374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"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":817375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":817376,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223769,"text":"70223769 - 2021 - Response of fish assemblages to restoration of rapids habitat in a Great Lakes connecting channel","interactions":[],"lastModifiedDate":"2021-09-07T16:05:33.360728","indexId":"70223769","displayToPublicDate":"2021-06-12T11:00:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Response of fish assemblages to restoration of rapids habitat in a Great Lakes connecting channel","docAbstract":"

Rapids habitats are critical spawning and nursery grounds for multiple Laurentian Great Lakes fishes of ecological importance such as lake sturgeon, walleye, and salmonids. However, river modifications have destroyed important rapids habitat in connecting channels by modifying flow profiles and removing large quantities of cobble and gravel that are preferred spawning substrates of several fish species. The conversion of rapids habitat to slow moving waters has altered fish assemblages and decreased the spawning success of lithophilic species. The St. Marys River is a Great Lakes connecting channel in which the majority of rapids habitat has been lost. However, rapids habitat was restored at the Little Rapids in 2016 to recover important spawning habitat in this river. During the restoration, flow and substrate were recovered to rapids habitat. We sampled the fish community (pre- and post-restoration), focusing on age-0 fishes in order to characterize the response of the fish assemblage to the restoration, particularly for species of importance (e.g. lake whitefish, walleye, Atlantic salmon). Following restoration, we observed a 40% increase in age-0 fish catch per unit effort, increased presence of rare species, and a shift in assemblage structure of age-0 fishes (higher relative abundance of Salmonidae, Cottidae, and Gasterosteidae). We also observed a “transition” period in 2017, in which the assemblage was markedly different from the pre- and post-restoration assemblages and was dominated by Catostomidae. Responses from target species were mixed, with increased Atlantic salmon abundance, first documented presence of walleye and no presence of lake sturgeon or Coregoninae.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.05.009","usgsCitation":"Molina-Moctezuma, A., Godby, N., Kapuscinski, K., Roseman, E., Skubik, K., and Moerke, A., 2021, Response of fish assemblages to restoration of rapids habitat in a Great Lakes connecting channel: Journal of Great Lakes Research, v. 47, no. 4, p. 1182-1191, https://doi.org/10.1016/j.jglr.2021.05.009.","productDescription":"10 p.","startPage":"1182","endPage":"1191","ipdsId":"IP-126170","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":451907,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.05.009","text":"Publisher Index Page"},{"id":388884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.37362670898438,\n 46.150345757336574\n ],\n [\n -83.9190673828125,\n 46.150345757336574\n ],\n [\n -83.9190673828125,\n 46.538082005463075\n ],\n [\n -84.37362670898438,\n 46.538082005463075\n ],\n [\n -84.37362670898438,\n 46.150345757336574\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Molina-Moctezuma, A.","contributorId":247565,"corporation":false,"usgs":false,"family":"Molina-Moctezuma","given":"A.","affiliations":[{"id":49581,"text":"Lake Superior State Univ.","active":true,"usgs":false}],"preferred":false,"id":822595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godby, N.","contributorId":265347,"corporation":false,"usgs":false,"family":"Godby","given":"N.","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":822596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kapuscinski, K.","contributorId":247567,"corporation":false,"usgs":false,"family":"Kapuscinski","given":"K.","email":"","affiliations":[{"id":49581,"text":"Lake Superior State Univ.","active":true,"usgs":false}],"preferred":false,"id":822597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":822598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skubik, K.","contributorId":265348,"corporation":false,"usgs":false,"family":"Skubik","given":"K.","email":"","affiliations":[{"id":49581,"text":"Lake Superior State Univ.","active":true,"usgs":false}],"preferred":false,"id":822599,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moerke, A.","contributorId":247569,"corporation":false,"usgs":false,"family":"Moerke","given":"A.","affiliations":[{"id":49581,"text":"Lake Superior State Univ.","active":true,"usgs":false}],"preferred":false,"id":822600,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70222099,"text":"70222099 - 2021 - Integrating thermal infrared stream temperature imagery and spatial stream network models to understand natural spatial thermal variability in streams","interactions":[],"lastModifiedDate":"2021-07-20T12:18:00.475837","indexId":"70222099","displayToPublicDate":"2021-06-12T07:15:25","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2476,"text":"Journal of Thermal Biology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating thermal infrared stream temperature imagery and spatial stream network models to understand natural spatial thermal variability in streams","docAbstract":"

Under a warmer future climate, thermal refuges could facilitate the persistence of species relying on cold-water habitat. Often these refuges are small and easily missed or smoothed out by averaging in models. Thermal infrared (TIR) imagery can provide empirical water surface temperatures that capture these features at a high spatial resolution (<1 m) and over tens of kilometers. Our study examined how TIR data could be used along with spatial stream network (SSN) models to characterize thermal regimes spatially in the Middle Fork John Day (MFJD) River mainstem (Oregon, USA). We characterized thermal variation in seven TIR longitudinal temperature profiles along the MFJD mainstem and compared them with SSN model predictions of stream temperature (for the same time periods as the TIR profiles). TIR profiles identified reaches of the MFJD mainstem with consistently cooler temperatures across years that were not consistently captured by the SSN prediction models. SSN predictions along the mainstem identified ~80% of the 1-km reach scale temperature warming or cooling trends observed in the TIR profiles. We assessed whether landscape features (e.g., tributary junctions, valley confinement, geomorphic reach classifications) could explain the fine-scale thermal heterogeneity in the TIR profiles (after accounting for the reach-scale temperature variability predicted by the SSN model) by fitting SSN models using the TIR profile observation points. Only the distance to the nearest upstream tributary was identified as a statistically significant landscape feature for explaining some of the thermal variability in the TIR profile data. When combined, TIR data and SSN models provide a data-rich evaluation of stream temperature captured in TIR imagery and a spatially extensive prediction of the network thermal diversity from the outlet to the headwaters.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jtherbio.2021.103028","usgsCitation":"Fuller, M.R., Ebersole, J.L., Detenbeck, N., Labisoa, R., Leinenbach, P., and Torgersen, C.E., 2021, Integrating thermal infrared stream temperature imagery and spatial stream network models to understand natural spatial thermal variability in streams: Journal of Thermal Biology, v. 100, 103028, 19 p., https://doi.org/10.1016/j.jtherbio.2021.103028.","productDescription":"103028, 19 p.","ipdsId":"IP-128957","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":436314,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UQBZ2X","text":"USGS data release","linkHelpText":"Airborne thermal infrared remote sensing of summer water temperature in the Middle Fork John Day River (Oregon) in 1994-2003"},{"id":387293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Middle Fork John Day River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.311279296875,\n 43.739352079154706\n ],\n [\n -117.71850585937501,\n 43.739352079154706\n ],\n [\n -117.71850585937501,\n 44.98034238084973\n ],\n [\n -120.311279296875,\n 44.98034238084973\n ],\n [\n -120.311279296875,\n 43.739352079154706\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"100","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fuller, Matthew R.","contributorId":213261,"corporation":false,"usgs":false,"family":"Fuller","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":819513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebersole, Joseph L.","contributorId":146938,"corporation":false,"usgs":false,"family":"Ebersole","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":819514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Detenbeck, Naomi","contributorId":261219,"corporation":false,"usgs":false,"family":"Detenbeck","given":"Naomi","email":"","affiliations":[{"id":39312,"text":"U.S. EPA","active":true,"usgs":false}],"preferred":false,"id":819515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labisoa, Rochelle","contributorId":261221,"corporation":false,"usgs":false,"family":"Labisoa","given":"Rochelle","email":"","affiliations":[{"id":39312,"text":"U.S. EPA","active":true,"usgs":false}],"preferred":false,"id":819516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leinenbach, P.T.","contributorId":217976,"corporation":false,"usgs":false,"family":"Leinenbach","given":"P.T.","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":819517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","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":819518,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70222090,"text":"70222090 - 2021 - Recency of faulting and subsurface architecture of the San Diego Bay pull-apart basin, California, USA","interactions":[],"lastModifiedDate":"2021-07-19T23:18:37.411565","indexId":"70222090","displayToPublicDate":"2021-06-11T18:12:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Recency of faulting and subsurface architecture of the San Diego Bay pull-apart basin, California, USA","docAbstract":"In southern California, plate boundary motion between the North American and Pacific plates is distributed across several sub-parallel fault systems. The offshore faults of the California Continental Borderland (CCB) are thought to accommodate ~10-15% of the total plate boundary motion, but the exact distribution of slip and the mechanics of slip partitioning remain uncertain. The Newport-Inglewood-Rose Canyon fault is the easternmost fault within the CCB whose southern segment splays out into a complex network of faults beneath San Diego Bay. A pull-apart basin model between the Rose Canyon and the offshore Descanso fault has been used to explain prominent fault orientations and subsidence beneath San Diego Bay; however this model does not account for faults in the southern portion of the bay or faulting east of the bay. To investigate the characteristics of faulting and stratigraphic architecture beneath San Diego Bay, we combined a suite of reprocessed legacy airgun multi-channel seismic profiles and high-resolution Chirp data, with age and lithology controls from geotechnical boreholes and shallow sub-surface vibracores. This combined dataset is used to create gridded horizon surfaces, fault maps, and perform a kinematic fault analysis. The structure beneath San Diego Bay is dominated by down-to-the-east motion on normal faults that can be separated into two distinct groups. The strikes of these two fault groups can be explained with a double pull-apart basin model for San Diego Bay. In our conceptual model, the western portion of San Diego Bay is controlled by a right-step between the Rose Canyon and Descanso faults, which matches both observations and predictions from laboratory models. The eastern portion of San Diego Bay appears to be controlled by an inferred step-over between the Rose Canyon and San Miguel-Vallecitos faults and displays distinct fault strike orientations, which kinematic analysis indicates should have a significant component of strike-slip partitioning that is not detectable in the seismic data. The potential of a Rose Canyon-San Miguel-Vallecitos fault connection would effectively cut the stepover distance in half and have important implications for the seismic hazard of the San Diego-Tijuana metropolitan area (population ~3 million people).","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2021.641346","usgsCitation":"Singleton, D.M., Maloney, J.M., Brothers, D.S., Klotsko, S., Driscoll, N., and Rockwell, T.K., 2021, Recency of faulting and subsurface architecture of the San Diego Bay pull-apart basin, California, USA: Frontiers in Earth Science, v. 9, 641346, 25 p., https://doi.org/10.3389/feart.2021.641346.","productDescription":"641346, 25 p.","ipdsId":"IP-125700","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451910,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2021.641346","text":"Publisher Index Page"},{"id":436315,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93Z2LYJ","text":"USGS data release","linkHelpText":"Reprocessed multichannel seismic-reflection (MCS) data from USGS field activity T-1-96-SC collected in San Diego Bay, California in 1996"},{"id":387256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Diego Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.34771728515625,\n 32.602361666817515\n ],\n [\n -117.037353515625,\n 32.602361666817515\n ],\n [\n -117.037353515625,\n 32.858825196463854\n ],\n [\n -117.34771728515625,\n 32.858825196463854\n ],\n [\n -117.34771728515625,\n 32.602361666817515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Singleton, Drake Moore 0000-0001-5346-0623","orcid":"https://orcid.org/0000-0001-5346-0623","contributorId":261207,"corporation":false,"usgs":true,"family":"Singleton","given":"Drake","email":"","middleInitial":"Moore","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":819471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maloney, Jillian M. 0000-0001-8223-4676","orcid":"https://orcid.org/0000-0001-8223-4676","contributorId":261208,"corporation":false,"usgs":false,"family":"Maloney","given":"Jillian","email":"","middleInitial":"M.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":819472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":819473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klotsko, Shannon","contributorId":261209,"corporation":false,"usgs":false,"family":"Klotsko","given":"Shannon","affiliations":[{"id":52774,"text":"University of North Carolina - Wilmington","active":true,"usgs":false}],"preferred":false,"id":819474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Driscoll, Neal W.","contributorId":261210,"corporation":false,"usgs":false,"family":"Driscoll","given":"Neal W.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":819475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rockwell, Thomas K.","contributorId":53290,"corporation":false,"usgs":true,"family":"Rockwell","given":"Thomas","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":819476,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70221913,"text":"70221913 - 2021 - Magnetotelluric sampling and geoelectric hazard estimation: Are national-scale surveys sufficient?","interactions":[],"lastModifiedDate":"2021-07-14T17:04:37.733359","indexId":"70221913","displayToPublicDate":"2021-06-11T11:59:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8968,"text":"AGU Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Magnetotelluric sampling and geoelectric hazard estimation: Are national-scale surveys sufficient?","docAbstract":"

At present, the most reliable information for inferring storm-time ground electric fields along electrical transmission lines comes from coarsely sampled, national-scale magnetotelluric (MT) data sets, such as that provided by the EarthScope USArray program. An underlying assumption in the use of such data is that they adequately sample the spatial heterogeneity of the surface relationship between geomagnetic and geoelectric fields. Here, we assess the degree to which the density of MT data sampling affects geoelectric hazard assessments. For electrical transmission networks in each of four focus regions across the contiguous United States, we perform two parallel band-limited (101–103 s) hazard analyses: one using only USArray-style (∼70-km station spacing) MT data, and one incorporating denser (≪70-km station spacing) MT data. We find that the use of USArray-style MT sampling alone provides a useful first-order estimate of integrated geoelectric fields along electrical transmission lines. However, we also find that the use of higher density MT data can in some areas lead to order-of-magnitude differences in line-averaged electric field estimates at the level of individual transmission lines and can also yield significant differences in subregional hazard patterns. As we demonstrate using variogram plots, these differences reflect short-spatial-scale variability in Earth conductivity, which in turn reflects regional lithotectonic structure and history. We also provide a cautionary example in the use of electrical conductivity models to predict dense MT data; although valuable for hazard applications, models may only be able to reproduce surface geoelectric fields as captured by the MT data from which they were derived.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020SW002693","usgsCitation":"Murphy, B.S., Lucas, G., Love, J.J., Kelbert, A., Bedrosian, P.A., and Rigler, E.J., 2021, Magnetotelluric sampling and geoelectric hazard estimation: Are national-scale surveys sufficient?: AGU Space Weather, v. 19, no. 7, e2020SW002693, 24 p., https://doi.org/10.1029/2020SW002693.","productDescription":"e2020SW002693, 24 p.","ipdsId":"IP-128631","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":488915,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020sw002693","text":"Publisher Index Page"},{"id":387180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.33203124999997,\n 39.70718665682654\n ],\n [\n -120.93749999999997,\n 39.70718665682654\n ],\n [\n -120.93749999999997,\n 46.37725420510028\n ],\n [\n -125.33203124999997,\n 46.37725420510028\n ],\n [\n -125.33203124999997,\n 39.70718665682654\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.140625,\n 37.23032838760387\n ],\n [\n -94.921875,\n 37.23032838760387\n ],\n [\n -94.921875,\n 41.64007838467894\n ],\n [\n -99.140625,\n 41.64007838467894\n ],\n [\n -99.140625,\n 37.23032838760387\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.833984375,\n 33.211116472416855\n ],\n [\n -86.748046875,\n 33.211116472416855\n ],\n [\n -86.748046875,\n 38.75408327579141\n ],\n [\n -94.833984375,\n 38.75408327579141\n ],\n [\n -94.833984375,\n 33.211116472416855\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.240234375,\n 44.276671273775186\n ],\n [\n -83.671875,\n 44.276671273775186\n ],\n [\n -83.671875,\n 49.03786794532644\n ],\n [\n -96.240234375,\n 49.03786794532644\n ],\n [\n -96.240234375,\n 44.276671273775186\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Benjamin Scott 0000-0001-7636-3711","orcid":"https://orcid.org/0000-0001-7636-3711","contributorId":242928,"corporation":false,"usgs":true,"family":"Murphy","given":"Benjamin","email":"","middleInitial":"Scott","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":819286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Greg M. 0000-0003-1331-1863","orcid":"https://orcid.org/0000-0003-1331-1863","contributorId":223556,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg M.","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":819287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":819288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":819289,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":819290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":819291,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263493,"text":"70263493 - 2021 - The PLUM earthquake early warning algorithm: A retrospective case study of West Coast, USA, data","interactions":[],"lastModifiedDate":"2025-02-13T14:57:02.527753","indexId":"70263493","displayToPublicDate":"2021-06-11T08:25:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"The PLUM earthquake early warning algorithm: A retrospective case study of West Coast, USA, data","docAbstract":"

The PLUM (Propagation of Local Undamped Motion) earthquake early warning (EEW) algorithm differs from typical source-based EEW algorithms as it predicts shaking directly from observed shaking without first deriving earthquake source information (e.g., magnitude and epicenter). Here, we determine optimal PLUM event detection thresholds for U.S. West Coast earthquakes using two data sets: 558 M3.5+ earthquakes (California, Oregon, Washington; 2012–2017) and the ShakeAlert test suite of historic and problematic signals (1999–2015). PLUM computes Modified Mercalli Intensity (IMMI) using velocity and acceleration data, leveraging co-located sensors to avoid problematic signals. An event detection is issued when the observed IMMI exceeds a given threshold(s). We find a two-station detection method using IMMI trigger thresholds of 4.0 and 3.0 for the first and second stations, respectively, is optimal for detecting M4.5+ earthquakes. PLUM detected 79 events in the 2012–2017 data set, reporting (not including telemetry or alert dissemination) detection times on par, and sometimes faster than current EEW methods (mean 8 s; median 6 s). As expected, detection times were slower for the older 1999–2015 earthquakes (N = 21; mean 11 s; median 6 s) when station coverage was sparser. Of the 31 PLUM detected M5+ events (10 2012–2017; 21 1999–2015), theoretically 20 (∼65%) could provide timely warnings. PLUM issued no false detections and avoided issuing detections for all calibration/anomalous signals, regional and teleseismic events. We conclude PLUM can successfully identify IMMI 4+ shaking from local earthquakes and could complement and enhance EEW in the U.S.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB021053","usgsCitation":"Kilb, D., Bunn, J.J., Saunders, J.K., Cochran, E.S., Minson, S.E., Baltay Sundstrom, A.S., O’Rourke, C.T., Hoshiba, M., and Kodera, Y., 2021, The PLUM earthquake early warning algorithm: A retrospective case study of West Coast, USA, data: JGR Solid Earth, v. 126, no. 7, e2020JB021053, 25 p., https://doi.org/10.1029/2020JB021053.","productDescription":"e2020JB021053, 25 p.","ipdsId":"IP-127285","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487640,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020jb021053","text":"Publisher Index Page"},{"id":481971,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.7415834344157,\n 50.86698760686437\n ],\n [\n -130.11898430734294,\n 50.73064323607903\n ],\n [\n -129.84352250027416,\n 47.91061103370703\n ],\n [\n -127.73975888565485,\n 45.81350980795722\n ],\n [\n -127.20469081295408,\n 40.692310007243975\n ],\n [\n -125.25223657477704,\n 36.025489997781676\n ],\n [\n -120.32946367522555,\n 32.36173836133648\n ],\n [\n -114.33497254438663,\n 32.66993174667441\n ],\n [\n -114.13499643606937,\n 34.298488182697\n ],\n [\n -114.44244109811251,\n 34.62578143162642\n ],\n [\n -120.10463563070891,\n 39.035534073340926\n ],\n [\n -120.03614305000167,\n 42.05422174218256\n ],\n [\n -116.85934735755973,\n 42.10269177613645\n ],\n [\n -116.7415834344157,\n 50.86698760686437\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"126","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Kilb, Debi","contributorId":206552,"corporation":false,"usgs":false,"family":"Kilb","given":"Debi","affiliations":[{"id":37339,"text":"Scripps/UCSD","active":true,"usgs":false}],"preferred":false,"id":927145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunn, Julian J 0000-0002-3798-298X","orcid":"https://orcid.org/0000-0002-3798-298X","contributorId":297107,"corporation":false,"usgs":false,"family":"Bunn","given":"Julian","email":"","middleInitial":"J","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":927146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saunders, Jessie Kate 0000-0001-5340-6715","orcid":"https://orcid.org/0000-0001-5340-6715","contributorId":290634,"corporation":false,"usgs":true,"family":"Saunders","given":"Jessie","email":"","middleInitial":"Kate","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Rourke, Colin T 0000-0001-5403-4685","orcid":"https://orcid.org/0000-0001-5403-4685","contributorId":290635,"corporation":false,"usgs":true,"family":"O’Rourke","given":"Colin","email":"","middleInitial":"T","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927151,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":927152,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kodera, Yuki","contributorId":290636,"corporation":false,"usgs":false,"family":"Kodera","given":"Yuki","email":"","affiliations":[{"id":39398,"text":"JMA","active":true,"usgs":false}],"preferred":false,"id":927153,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70223335,"text":"70223335 - 2021 - Abundance of Gulf Coast Waterdogs (Necturus beyeri) along Bayou Lacombe, Saint Tammany Parish, Louisiana","interactions":[],"lastModifiedDate":"2023-06-09T14:10:31.349995","indexId":"70223335","displayToPublicDate":"2021-06-11T08:18:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Abundance of Gulf Coast Waterdogs (Necturus beyeri) along Bayou Lacombe, Saint Tammany Parish, Louisiana","docAbstract":"

Few ecological studies have been conducted on Gulf Coast Waterdogs (Necturus beyeri), and published studies have focused on relatively small stream sections of 125 m to 1.75 km. In 2015, we sampled 25 sites along a 13.4-km stretch of Bayou Lacombe (Saint Tammany Parish, Louisiana, USA) to better understand factors that may influence the distribution of Gulf Coast Waterdogs within streams. We checked 250 unbaited traps once per week for 3 weeks, capturing 170 Gulf Coast Waterdogs at 18 of 25 sites. We used hierarchical models of abundance to estimate abundance at each site, as a function of site covariates including pH, turbidity, and distance from headwaters. The abundance of Gulf Coast Waterdogs within Bayou Lacombe was highest toward the center of the sampled stream segment, but we found no evidence that pH or turbidity affected abundance within our study area. Site-level abundance estimates of Gulf Coast Waterdogs ranged from 0 to 82, and we estimated there were 767 (95% Bayesian credible interval [CRI]: 266–983) Gulf Coast Waterdogs summed across all 25 sampling sites. We derived an estimate of 6,321 (95% CRI: 2,139–15,922) Gulf Coast Waterdogs for the entire 13.4-km stream section, which includes our 25 sites and the adjoining stream reaches between sites. Our results suggest that Gulf Coast Waterdogs may be uncommon or absent in the headwaters, possibly because of shallow water and swift currents with limited preferred habitats. Gulf Coast Waterdogs favor the middle stream reaches with adequate depth and abundant preferred microhabitats.

","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/20-062","usgsCitation":"Glorioso, B., Waddle, H., Muse, L.J., and Godfrey, S., 2021, Abundance of Gulf Coast Waterdogs (Necturus beyeri) along Bayou Lacombe, Saint Tammany Parish, Louisiana: Journal of Herpetology, v. 55, no. 2, p. 160-166, https://doi.org/10.1670/20-062.","productDescription":"7 p.; Data Release","startPage":"160","endPage":"166","ipdsId":"IP-118494","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":388417,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417850,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UQGAAZ"}],"country":"United States","state":"Louisiana","county":"Saint Tammany Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.8503,30.6628],[-89.8508,30.6618],[-89.8492,30.6604],[-89.8466,30.66],[-89.8433,30.6595],[-89.8408,30.658],[-89.8375,30.6572],[-89.8354,30.6572],[-89.8327,30.6567],[-89.8311,30.6549],[-89.8292,30.6524],[-89.8266,30.6496],[-89.824,30.6459],[-89.8237,30.6421],[-89.822,30.6399],[-89.8194,30.6381],[-89.8178,30.6362],[-89.8179,30.6334],[-89.8195,30.6307],[-89.8216,30.6288],[-89.8232,30.6275],[-89.8255,30.6263],[-89.8276,30.6245],[-89.8293,30.6227],[-89.8293,30.6208],[-89.8272,30.6199],[-89.8251,30.6194],[-89.8227,30.6174],[-89.823,30.6148],[-89.8231,30.6125],[-89.8215,30.6102],[-89.8184,30.6097],[-89.8173,30.6083],[-89.8189,30.6074],[-89.8206,30.6065],[-89.8217,30.6043],[-89.8204,30.6031],[-89.8175,30.6019],[-89.8154,30.6005],[-89.8149,30.5987],[-89.816,30.5973],[-89.8176,30.595],[-89.818,30.5936],[-89.8166,30.5923],[-89.8134,30.5918],[-89.8111,30.5904],[-89.8098,30.589],[-89.81,30.5872],[-89.8111,30.5849],[-89.8108,30.5822],[-89.8101,30.5799],[-89.8087,30.5776],[-89.8085,30.5771],[-89.8069,30.5729],[-89.8037,30.5703],[-89.8011,30.5701],[-89.7973,30.5707],[-89.7936,30.5712],[-89.791,30.5707],[-89.7894,30.5689],[-89.7895,30.5663],[-89.7901,30.5654],[-89.7922,30.5649],[-89.7947,30.5646],[-89.7954,30.5646],[-89.7989,30.5643],[-89.8024,30.5623],[-89.8021,30.5598],[-89.8003,30.5586],[-89.7987,30.5577],[-89.7961,30.5563],[-89.7947,30.5556],[-89.7935,30.5549],[-89.793,30.5535],[-89.7936,30.5512],[-89.7941,30.5494],[-89.7931,30.5476],[-89.7915,30.5471],[-89.7889,30.5469],[-89.7857,30.5465],[-89.7825,30.5456],[-89.7789,30.5428],[-89.7762,30.5391],[-89.7751,30.535],[-89.7736,30.5314],[-89.773,30.5286],[-89.7723,30.5258],[-89.7724,30.5221],[-89.772,30.5189],[-89.7704,30.517],[-89.7683,30.5163],[-89.7656,30.5165],[-89.764,30.517],[-89.7624,30.5174],[-89.7604,30.5155],[-89.7593,30.5121],[-89.7589,30.5082],[-89.7579,30.5063],[-89.7561,30.5048],[-89.7527,30.5035],[-89.7502,30.5024],[-89.7495,30.5021],[-89.7464,30.5006],[-89.7445,30.4975],[-89.7422,30.4955],[-89.7408,30.4947],[-89.7376,30.4933],[-89.7318,30.4929],[-89.728,30.4926],[-89.726,30.491],[-89.7249,30.488],[-89.7244,30.4852],[-89.7223,30.4838],[-89.7197,30.4824],[-89.717,30.4814],[-89.715,30.4791],[-89.7133,30.4777],[-89.7111,30.4773],[-89.709,30.4759],[-89.7075,30.4722],[-89.7069,30.4707],[-89.7064,30.4695],[-89.7038,30.4663],[-89.701,30.4642],[-89.6964,30.4626],[-89.6937,30.4617],[-89.6916,30.4598],[-89.6897,30.459],[-89.6895,30.4567],[-89.6879,30.4543],[-89.686,30.4498],[-89.685,30.4452],[-89.6845,30.4411],[-89.6846,30.4379],[-89.6836,30.4351],[-89.6816,30.4319],[-89.6811,30.4291],[-89.6806,30.425],[-89.679,30.4223],[-89.6785,30.4205],[-89.679,30.4186],[-89.6806,30.4159],[-89.6828,30.4132],[-89.6842,30.41],[-89.6837,30.4063],[-89.6822,30.4035],[-89.6807,30.4017],[-89.6786,30.3994],[-89.6775,30.3967],[-89.677,30.3944],[-89.6754,30.3925],[-89.6739,30.3907],[-89.673,30.3883],[-89.672,30.3855],[-89.6689,30.3814],[-89.6659,30.3788],[-89.6622,30.3765],[-89.6601,30.3734],[-89.6586,30.3698],[-89.6592,30.3661],[-89.6582,30.3624],[-89.6565,30.36],[-89.6539,30.3573],[-89.6513,30.3561],[-89.6499,30.3554],[-89.6473,30.3526],[-89.6444,30.3513],[-89.6412,30.3504],[-89.638,30.349],[-89.6348,30.3465],[-89.6328,30.3435],[-89.6307,30.34],[-89.6298,30.3367],[-89.6307,30.3329],[-89.6309,30.3304],[-89.6312,30.3288],[-89.6307,30.3252],[-89.6311,30.3235],[-89.6322,30.3213],[-89.6313,30.3183],[-89.6302,30.3167],[-89.6302,30.3142],[-89.6313,30.3128],[-89.6329,30.3119],[-89.6356,30.3117],[-89.6377,30.3108],[-89.6387,30.3092],[-89.6393,30.3069],[-89.6409,30.3037],[-89.6433,30.2967],[-89.6446,30.2932],[-89.6452,30.2914],[-89.6446,30.2895],[-89.6425,30.2891],[-89.6408,30.2899],[-89.6399,30.2904],[-89.6362,30.2895],[-89.6351,30.2868],[-89.6357,30.2835],[-89.6357,30.2813],[-89.6342,30.2792],[-89.6325,30.278],[-89.6309,30.2753],[-89.6317,30.2723],[-89.6326,30.2689],[-89.6315,30.2666],[-89.6292,30.2658],[-89.6266,30.264],[-89.6261,30.2631],[-89.6272,30.2608],[-89.6289,30.2597],[-89.631,30.2579],[-89.6305,30.2552],[-89.6284,30.253],[-89.6252,30.2497],[-89.6211,30.2479],[-89.618,30.2464],[-89.6154,30.2446],[-89.6147,30.2418],[-89.6142,30.2386],[-89.6147,30.235],[-89.6153,30.2318],[-89.6158,30.2281],[-89.6153,30.2245],[-89.6148,30.2222],[-89.6132,30.2199],[-89.609,30.2176],[-89.6049,30.2165],[-89.6013,30.2141],[-89.5985,30.212],[-89.5948,30.2093],[-89.592,30.2062],[-89.589,30.2015],[-89.5864,30.1974],[-89.5838,30.1918],[-89.5809,30.1884],[-89.5796,30.1868],[-89.5748,30.1831],[-89.5717,30.1822],[-89.565,30.1824],[-89.5592,30.1841],[-89.5542,30.1872],[-89.5489,30.1913],[-89.5431,30.1944],[-89.5394,30.1956],[-89.5351,30.196],[-89.532,30.195],[-89.5284,30.1918],[-89.5258,30.1876],[-89.5247,30.1847],[-89.5251,30.1844],[-89.5264,30.1831],[-89.5283,30.1831],[-89.5289,30.1825],[-89.5292,30.1825],[-89.5297,30.182],[-89.53,30.1817],[-89.5311,30.1817],[-89.5314,30.1814],[-89.5314,30.1811],[-89.5319,30.1806],[-89.5317,30.1803],[-89.5317,30.18],[-89.5319,30.1797],[-89.5319,30.1792],[-89.5325,30.1786],[-89.5328,30.1783],[-89.5331,30.1783],[-89.5333,30.1786],[-89.5339,30.1786],[-89.5342,30.1789],[-89.5344,30.1789],[-89.5356,30.18],[-89.5358,30.18],[-89.5367,30.1808],[-89.5369,30.1808],[-89.5375,30.1814],[-89.5378,30.1814],[-89.5381,30.1817],[-89.5383,30.1817],[-89.5386,30.1819],[-89.5406,30.1819],[-89.5408,30.1817],[-89.5419,30.1817],[-89.5422,30.1819],[-89.5425,30.1819],[-89.5428,30.1817],[-89.5431,30.1817],[-89.5433,30.1819],[-89.5444,30.1819],[-89.5447,30.1822],[-89.545,30.1819],[-89.5456,30.1819],[-89.5458,30.1817],[-89.5461,30.1817],[-89.5464,30.1814],[-89.5472,30.1814],[-89.5475,30.1811],[-89.5517,30.1811],[-89.5519,30.1808],[-89.5553,30.1808],[-89.5556,30.1806],[-89.5564,30.1806],[-89.5564,30.1803],[-89.5567,30.1803],[-89.5569,30.18],[-89.5572,30.18],[-89.5575,30.1797],[-89.5578,30.1797],[-89.5581,30.1794],[-89.5583,30.1794],[-89.5586,30.1792],[-89.5589,30.1792],[-89.5592,30.1789],[-89.5594,30.1789],[-89.5597,30.1786],[-89.56,30.1786],[-89.5603,30.1783],[-89.5606,30.1783],[-89.5608,30.1781],[-89.5611,30.1781],[-89.5614,30.1778],[-89.5617,30.1778],[-89.5622,30.1772],[-89.5625,30.1772],[-89.5628,30.1769],[-89.5631,30.1769],[-89.5639,30.1761],[-89.5642,30.1761],[-89.5644,30.1758],[-89.5647,30.1758],[-89.5653,30.1753],[-89.5656,30.1753],[-89.5658,30.175],[-89.5661,30.1747],[-89.5664,30.1747],[-89.5667,30.1744],[-89.5669,30.1744],[-89.5672,30.1742],[-89.5675,30.1742],[-89.5683,30.1733],[-89.5686,30.1733],[-89.5692,30.1728],[-89.5694,30.1728],[-89.5694,30.1725],[-89.5697,30.1722],[-89.5703,30.1717],[-89.5711,30.1708],[-89.5711,30.1706],[-89.5714,30.1703],[-89.5714,30.1697],[-89.5722,30.1689],[-89.5722,30.1686],[-89.5725,30.1683],[-89.5725,30.1681],[-89.5731,30.1675],[-89.5731,30.1656],[-89.5733,30.1653],[-89.5733,30.1647],[-89.5736,30.1644],[-89.5736,30.1642],[-89.5733,30.1639],[-89.5733,30.1636],[-89.5731,30.1633],[-89.5731,30.1631],[-89.5728,30.1628],[-89.5727,30.1627],[-89.5725,30.1625],[-89.5725,30.1606],[-89.5728,30.1603],[-89.5728,30.16],[-89.5739,30.1589],[-89.5744,30.1583],[-89.575,30.1583],[-89.5761,30.1572],[-89.5761,30.1569],[-89.5764,30.1566],[-89.5767,30.1567],[-89.5769,30.1564],[-89.5772,30.1564],[-89.5775,30.1561],[-89.5778,30.1561],[-89.5781,30.1558],[-89.5783,30.1558],[-89.5786,30.1556],[-89.5789,30.1556],[-89.5796,30.1549],[-89.5797,30.1547],[-89.58,30.1547],[-89.5806,30.1542],[-89.5808,30.1542],[-89.5811,30.1539],[-89.5814,30.1539],[-89.5817,30.1536],[-89.5819,30.1536],[-89.5828,30.1528],[-89.5833,30.1528],[-89.5836,30.1525],[-89.5839,30.1525],[-89.5842,30.1522],[-89.5844,30.1522],[-89.5847,30.1519],[-89.585,30.1519],[-89.5856,30.1514],[-89.5858,30.1511],[-89.5861,30.1508],[-89.5864,30.1508],[-89.5867,30.1506],[-89.5869,30.1506],[-89.5872,30.1508],[-89.5875,30.1506],[-89.5878,30.1506],[-89.5881,30.1508],[-89.5883,30.1506],[-89.5903,30.1506],[-89.5906,30.1503],[-89.5919,30.1503],[-89.5925,30.1497],[-89.5936,30.1497],[-89.5939,30.1494],[-89.5942,30.1497],[-89.5944,30.1497],[-89.595,30.1503],[-89.5953,30.1503],[-89.5959,30.1509],[-89.5961,30.1511],[-89.5964,30.1511],[-89.5975,30.1522],[-89.5981,30.1522],[-89.5983,30.1525],[-89.5989,30.1525],[-89.5994,30.1531],[-89.5997,30.1531],[-89.6,30.1533],[-89.6006,30.1533],[-89.6008,30.1536],[-89.6014,30.1536],[-89.6017,30.1539],[-89.6039,30.1539],[-89.6041,30.1537],[-89.6042,30.1536],[-89.6044,30.1539],[-89.6061,30.1539],[-89.6064,30.1542],[-89.6075,30.1542],[-89.6078,30.1544],[-89.6086,30.1544],[-89.6089,30.1547],[-89.6103,30.1547],[-89.6106,30.155],[-89.6108,30.155],[-89.6111,30.1553],[-89.6122,30.1553],[-89.6125,30.1556],[-89.6131,30.1556],[-89.6133,30.1558],[-89.6136,30.1558],[-89.6139,30.1561],[-89.6144,30.1561],[-89.6147,30.1564],[-89.6158,30.1564],[-89.6161,30.1567],[-89.6164,30.1564],[-89.6186,30.1564],[-89.6189,30.1561],[-89.6192,30.1564],[-89.6206,30.1564],[-89.6208,30.1561],[-89.6211,30.1561],[-89.6214,30.1558],[-89.6222,30.1567],[-89.6225,30.1567],[-89.6228,30.1569],[-89.6231,30.1567],[-89.6231,30.1558],[-89.6235,30.1554],[-89.6236,30.1553],[-89.6236,30.1544],[-89.6244,30.1536],[-89.6244,30.1519],[-89.6253,30.1511],[-89.6256,30.1511],[-89.6258,30.1508],[-89.6272,30.1508],[-89.6275,30.1505],[-89.6286,30.1542],[-89.6306,30.1565],[-89.6442,30.1558],[-89.6548,30.1583],[-89.6576,30.1606],[-89.666,30.1683],[-89.6798,30.1765],[-89.6899,30.1762],[-89.695,30.1727],[-89.6985,30.169],[-89.7051,30.1663],[-89.7125,30.163],[-89.7172,30.1621],[-89.721,30.1632],[-89.7284,30.166],[-89.7314,30.167],[-89.7387,30.1772],[-89.7457,30.1773],[-89.7521,30.1759],[-89.7792,30.157],[-89.7915,30.1508],[-89.8038,30.1521],[-89.8119,30.1557],[-89.8144,30.1613],[-89.8157,30.1696],[-89.819,30.1815],[-89.8294,30.186],[-89.8417,30.1873],[-89.8631,30.1901],[-89.871,30.1957],[-89.8753,30.1982],[-89.8848,30.1971],[-89.8985,30.1924],[-89.9124,30.1864],[-89.9295,30.1793],[-89.9453,30.1707],[-89.9737,30.1601],[-89.9888,30.1501],[-89.999,30.1491],[-90.0078,30.1534],[-90.0129,30.1559],[-90.0265,30.1668],[-90.0367,30.1719],[-90.049,30.1731],[-90.0612,30.1751],[-90.0755,30.1792],[-90.0873,30.1845],[-90.1059,30.1919],[-90.1185,30.1953],[-90.1691,30.2037],[-90.1886,30.209],[-90.2169,30.2198],[-90.2433,30.2247],[-90.2443,30.5038],[-90.2443,30.5061],[-90.2442,30.5093],[-90.2444,30.5299],[-90.2458,30.577],[-90.2467,30.5925],[-90.2461,30.6323],[-90.2444,30.6391],[-90.2448,30.6428],[-90.2458,30.6469],[-90.25,30.652],[-90.2521,30.657],[-90.2525,30.6612],[-90.2525,30.6657],[-90.2508,30.6698],[-90.2491,30.6758],[-90.2485,30.6799],[-90.2495,30.6863],[-90.2515,30.6936],[-90.2567,30.7024],[-90.256,30.7124],[-90.1627,30.6958],[-90.1425,30.6923],[-90.1314,30.6904],[-90.115,30.687],[-89.9947,30.6653],[-89.872,30.6631],[-89.8555,30.6628],[-89.8503,30.6628]]]},\"properties\":{\"name\":\"Saint Tammany\",\"state\":\"LA\"}}]}","volume":"55","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Glorioso, Brad 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":203421,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":821796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":209861,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":821797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muse, Lindy J.","contributorId":172438,"corporation":false,"usgs":false,"family":"Muse","given":"Lindy","email":"","middleInitial":"J.","affiliations":[{"id":27041,"text":"Cherokee at USGS-WARC Lafayette","active":true,"usgs":false}],"preferred":false,"id":821798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godfrey, Sidney T","contributorId":222188,"corporation":false,"usgs":false,"family":"Godfrey","given":"Sidney T","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":821799,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223726,"text":"70223726 - 2021 - A review of sand detachment in modern deep marine environments: Analogues for upslope stratigraphic traps","interactions":[],"lastModifiedDate":"2021-09-07T13:18:34.511432","indexId":"70223726","displayToPublicDate":"2021-06-11T07:47:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"A review of sand detachment in modern deep marine environments: Analogues for upslope stratigraphic traps","docAbstract":"

Isolated, detached sands provide opportunities for large-volume stratigraphic traps in many deepwater petroleum systems. Here we provide a review of the different types of sandbody detachments based on published data from the modern-day seafloor and recent (generally Quaternary-present), shallow-buried strata. Detachment mechanisms can be classified based on their timing of formation relative to deposition of the detached sandbody as well as their process of formation. Syndepositional detachment mechanisms include flow transformation associated with slope failure (Class 1), turbidity current erosion (Class 2), and contourite deposition (Class 3). Post-depositional detachment is related to subsequent erosive processes and truncation of the pre-existing sandbody, either by submarine channels (Class 4), mass-transport events (Class 5), post-depositional sliding or faulting (Class 6) or bottom currents (Class 7). Examples of each of these mechanisms are identified on the modern seafloor, and show that detached sandbodies can form at different locations along the continental slope and rise (from upper slope to basin floor), and between or within different architectural elements (i.e., canyon, channels and lobes). This variation in formation style results in detached sands of highly variable sizes (tens to hundreds of kilometres) and geometries across and along the depositional profile, which are dependent upon the erosive and/or depositional processes involved, as well as the seafloor topography of the area in question. Whilst modern seafloor systems may not always represent the final stratigraphic architecture in the subsurface, they provide important insights into the development of detached sandbodies and therefore serve as potential analogues for subsurface stratigraphic traps.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2021.105184","usgsCitation":"Counts, J.W., Amy, L., Georgiopoulou, A., and Haughton, P., 2021, A review of sand detachment in modern deep marine environments: Analogues for upslope stratigraphic traps: Marine and Petroleum Geology, v. 132, 105184, 15 p., https://doi.org/10.1016/j.marpetgeo.2021.105184.","productDescription":"105184, 15 p.","ipdsId":"IP-126445","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":451923,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://cris.brighton.ac.uk/ws/files/30716190/Counts_et_al_2021_MPG_compressed.pdf","text":"External Repository"},{"id":388834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"132","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Counts, John W. 0000-0001-7374-6928","orcid":"https://orcid.org/0000-0001-7374-6928","contributorId":248711,"corporation":false,"usgs":true,"family":"Counts","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":822499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amy, Lawrence","contributorId":265269,"corporation":false,"usgs":false,"family":"Amy","given":"Lawrence","email":"","affiliations":[],"preferred":false,"id":822500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Georgiopoulou, Aggeliki","contributorId":265270,"corporation":false,"usgs":false,"family":"Georgiopoulou","given":"Aggeliki","affiliations":[],"preferred":false,"id":822501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haughton, Peter","contributorId":265271,"corporation":false,"usgs":false,"family":"Haughton","given":"Peter","email":"","affiliations":[],"preferred":false,"id":822502,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70229492,"text":"70229492 - 2021 - Caution is warranted when using animal space-use and movement to infer behavioral states","interactions":[],"lastModifiedDate":"2022-03-09T12:58:06.746424","indexId":"70229492","displayToPublicDate":"2021-06-11T06:53:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Caution is warranted when using animal space-use and movement to infer behavioral states","docAbstract":"

Background

Identifying the behavioral state for wild animals that can’t be directly observed is of growing interest to the ecological community. Advances in telemetry technology and statistical methodologies allow researchers to use space-use and movement metrics to infer the underlying, latent, behavioral state of an animal without direct observations. For example, researchers studying ungulate ecology have started using these methods to quantify behaviors related to mating strategies. However, little work has been done to determine if assumed behaviors inferred from movement and space-use patterns correspond to actual behaviors of individuals.

Methods

Using a dataset with male and female white-tailed deer location data, we evaluated the ability of these two methods to correctly identify male-female interaction events (MFIEs). We identified MFIEs using the proximity of their locations in space as indicators of when mating could have occurred. We then tested the ability of utilization distributions (UDs) and hidden Markov models (HMMs) rendered with single sex location data to identify these events.

Results

For white-tailed deer, male and female space-use and movement behavior did not vary consistently when with a potential mate. There was no evidence that a probability contour threshold based on UD volume applied to an individual’s UD could be used to identify MFIEs. Additionally, HMMs were unable to identify MFIEs, as single MFIEs were often split across multiple states and the primary state of each MFIE was not consistent across events.

Conclusions

Caution is warranted when interpreting behavioral insights rendered from statistical models applied to location data, particularly when there is no form of validation data. For these models to detect latent behaviors, the individual needs to exhibit a consistently different type of space-use and movement when engaged in the behavior. Unvalidated assumptions about that relationship may lead to incorrect inference about mating strategies or other behaviors.

","language":"English","publisher":"Springer","doi":"10.1186/s40462-021-00264-8","usgsCitation":"Buderman, F.E., Gingery, T.M., Diefenbach, D.R., Gigliotti, L., Begley-Miller, D., McDill, M.E., Wallingford, B., Rosenberry, C., and Drohan, P.J., 2021, Caution is warranted when using animal space-use and movement to infer behavioral states: Movement Ecology, v. 9, 30, 12 p., https://doi.org/10.1186/s40462-021-00264-8.","productDescription":"30, 12 p.","ipdsId":"IP-126195","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":451927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-021-00264-8","text":"Publisher Index Page"},{"id":396898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2021-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Buderman, Frances E.","contributorId":171634,"corporation":false,"usgs":false,"family":"Buderman","given":"Frances","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":837600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gingery, Tess M.","contributorId":204865,"corporation":false,"usgs":false,"family":"Gingery","given":"Tess","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":837601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":837599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gigliotti, Laura C.","contributorId":204828,"corporation":false,"usgs":false,"family":"Gigliotti","given":"Laura C.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":837602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Begley-Miller, Danielle","contributorId":288270,"corporation":false,"usgs":false,"family":"Begley-Miller","given":"Danielle","affiliations":[{"id":54482,"text":"Teatown Lake Reservation","active":true,"usgs":false}],"preferred":false,"id":837603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDill, Marc E.","contributorId":264499,"corporation":false,"usgs":false,"family":"McDill","given":"Marc","email":"","middleInitial":"E.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":837654,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wallingford, Bret D.","contributorId":276207,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret D.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":837604,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosenberry, Christopher S.","contributorId":276209,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher S.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":837605,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drohan, Patrick J.","contributorId":190141,"corporation":false,"usgs":false,"family":"Drohan","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":837655,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70221322,"text":"sir20215051 - 2021 - Estimating Piacenzian sea surface temperature using an alkenone-calibrated transfer function","interactions":[],"lastModifiedDate":"2021-06-11T22:34:30.076675","indexId":"sir20215051","displayToPublicDate":"2021-06-10T13:12:07","publicationYear":"2021","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":"2021-5051","displayTitle":"Estimating Piacenzian Sea Surface Temperature Using an Alkenone-Calibrated Transfer Function","title":"Estimating Piacenzian sea surface temperature using an alkenone-calibrated transfer function","docAbstract":"

Stationarity of environmental preferences is a primary assumption required for any paleoenvironmental reconstruction using fossil materials based upon calibration to modern organisms. Confidence in this assumption decreases the further back in time one goes, and the validity of the assumption that species temperature tolerances have not changed over time has been challenged in Pliocene studies. We use paired UK′37  (unsaturated ketones with 37 carbon atoms) sea surface temperature (SST) and faunal assemblage data to directly calibrate North Atlantic Piacenzian planktonic foraminifer assemblages to Piacenzian alkenone paleotemperature estimates to provide an alternative paleoceanographic reconstruction approach that does not rely on stationarity. In doing so, we extend Pliocene SST estimates to sites where only quantitative faunal assemblage data were previously available and improve the spatial resolution of the North Atlantic SST reconstruction.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215051","usgsCitation":"Dowsett, H.J., Robinson, M.M., and Foley, K.M., 2021, Estimating Piacenzian sea surface temperature using an alkenone-calibrated transfer function: U.S. Geological Survey Scientific Investigations Report 2021–5051, 17 p., https://doi.org/10.3133/sir20215051.","productDescription":"Report: vi, 17 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-114329","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":386375,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.1038/sdata.2015.76","text":"Scientific Data","linkHelpText":"— A global planktic foraminifer census data set for the Pliocene ocean"},{"id":386376,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7959G1S","text":"USGS data release","linkHelpText":"PRISM late Pliocene (Piacenzian) alkenone-derived SST data"},{"id":386374,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5051/sir20215051.pdf","text":"Report","size":"1.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5051"},{"id":386373,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5051/coverthb.jpg"},{"id":386377,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://www.ncdc.noaa.gov/paleo/study/27310","text":"National Oceanic and Atmospheric Administration, National Centers for Environmental Information","linkHelpText":"— A global planktic foraminifer census data set for the Pliocene ocean, addendum"}],"contact":"

Director, Florence Bascom Geoscience Center
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-06-10","noUsgsAuthors":false,"publicationDate":"2021-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":817300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":817301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":817302,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221399,"text":"70221399 - 2021 - A massive rock and ice avalanche caused the 2021 disaster at Chamoli, Indian Himalaya","interactions":[],"lastModifiedDate":"2021-06-14T14:00:27.974633","indexId":"70221399","displayToPublicDate":"2021-06-10T08:18:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"A massive rock and ice avalanche caused the 2021 disaster at Chamoli, Indian Himalaya","docAbstract":"

On 7 Feb 2021, a catastrophic mass flow descended the Ronti Gad, Rishiganga, and Dhauliganga valleys in Chamoli, Uttarakhand, India, causing widespread devastation and severely damaging two hydropower projects. Over 200 people were killed or are missing. Our analysis of satellite imagery, seismic records, numerical model results, and eyewitness videos reveals that ~27x106 m3 of rock and glacier ice collapsed from the steep north face of Ronti Peak. The rock and ice avalanche rapidly transformed into an extraordinarily large and mobile debris flow that transported boulders >20 m in diameter, and scoured the valley walls up to 220 m above the valley floor. The intersection of the hazard cascade with downvalley infrastructure resulted in a disaster, which highlights key questions about adequate monitoring and sustainable development in the Himalaya as well as other remote, high-mountain environments.

","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.abh4455","usgsCitation":"Shugar, D.H., Jacquemart, M., Shean, D., Bhushan, S., Upadhyay, K., Sattar, A., Schwanghart, W., McBride, S.K., Van Wyk de Vries, M., Mergili, M., Emmer, A., Deschamps-Berger, C., McDonnell, M., Bhambri, R., Allen, S., Berthier, E., Carrivick, J., Clague, J., Dokukin, M., Dunning, S., Frey, H., Gascoin, S., Haritashya, U., Huggel, C., Kaab, A., Kargel, J., Kavanaugh, J., Lacroix, P., Petley, D., Rupper, S., Azam, M., Cook, S., Dimri, A., Eriksson, M., Farinotti, D., Fiddes, J., Gnyawali, K., Harrison, S., Jha, M., Koppes, M., Kumar, S., Leiness, S., Majeed, U., Mai, S., Muhuri, A., Noetzli, J., Paul, F., Rashid, I., Sain, K., Steiner, J., Ugalde, F., Watson, C., and Westoby, M., 2021, A massive rock and ice avalanche caused the 2021 disaster at Chamoli, Indian Himalaya: Science, eabh4455, 15 p., https://doi.org/10.1126/science.abh4455.","productDescription":"eabh4455, 15 p.","ipdsId":"IP-127686","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":451939,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://discovery.dundee.ac.uk/en/publications/cd9567f5-1430-46d5-b8f5-81132306087a","text":"External Repository"},{"id":386471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","otherGeospatial":"Chamoli","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 78.8818359375,\n 30.244831915307145\n ],\n [\n 79.6893310546875,\n 30.244831915307145\n ],\n [\n 79.6893310546875,\n 30.694611546632277\n ],\n [\n 78.8818359375,\n 30.694611546632277\n ],\n [\n 78.8818359375,\n 30.244831915307145\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shugar, D. H.","contributorId":167409,"corporation":false,"usgs":false,"family":"Shugar","given":"D.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":817557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacquemart, Mylene 0000-0003-2501-7645","orcid":"https://orcid.org/0000-0003-2501-7645","contributorId":244606,"corporation":false,"usgs":false,"family":"Jacquemart","given":"Mylene","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":817558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shean, D.","contributorId":260202,"corporation":false,"usgs":false,"family":"Shean","given":"D.","affiliations":[],"preferred":false,"id":817559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bhushan, S.","contributorId":260203,"corporation":false,"usgs":false,"family":"Bhushan","given":"S.","affiliations":[],"preferred":false,"id":817560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Upadhyay, K.","contributorId":260204,"corporation":false,"usgs":false,"family":"Upadhyay","given":"K.","email":"","affiliations":[],"preferred":false,"id":817561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sattar, A.","contributorId":260205,"corporation":false,"usgs":false,"family":"Sattar","given":"A.","email":"","affiliations":[],"preferred":false,"id":817562,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schwanghart, W.","contributorId":260206,"corporation":false,"usgs":false,"family":"Schwanghart","given":"W.","email":"","affiliations":[],"preferred":false,"id":817563,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McBride, Sara K. 0000-0002-8062-6542 skmcbride@usgs.gov","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":224627,"corporation":false,"usgs":true,"family":"McBride","given":"Sara","email":"skmcbride@usgs.gov","middleInitial":"K.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":817564,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Van Wyk de Vries, M.","contributorId":260207,"corporation":false,"usgs":false,"family":"Van Wyk de Vries","given":"M.","email":"","affiliations":[],"preferred":false,"id":817565,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mergili, M.","contributorId":260208,"corporation":false,"usgs":false,"family":"Mergili","given":"M.","email":"","affiliations":[],"preferred":false,"id":817566,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Emmer, A.","contributorId":260209,"corporation":false,"usgs":false,"family":"Emmer","given":"A.","email":"","affiliations":[],"preferred":false,"id":817567,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Deschamps-Berger, C.","contributorId":260210,"corporation":false,"usgs":false,"family":"Deschamps-Berger","given":"C.","email":"","affiliations":[],"preferred":false,"id":817568,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McDonnell, M.","contributorId":260211,"corporation":false,"usgs":false,"family":"McDonnell","given":"M.","email":"","affiliations":[],"preferred":false,"id":817569,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bhambri, R.","contributorId":260212,"corporation":false,"usgs":false,"family":"Bhambri","given":"R.","email":"","affiliations":[],"preferred":false,"id":817570,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Allen, S.","contributorId":260213,"corporation":false,"usgs":false,"family":"Allen","given":"S.","email":"","affiliations":[],"preferred":false,"id":817571,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Berthier, E.","contributorId":260214,"corporation":false,"usgs":false,"family":"Berthier","given":"E.","affiliations":[],"preferred":false,"id":817572,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Carrivick, J.L.","contributorId":260215,"corporation":false,"usgs":false,"family":"Carrivick","given":"J.L.","affiliations":[],"preferred":false,"id":817573,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Clague, J.J.","contributorId":248236,"corporation":false,"usgs":false,"family":"Clague","given":"J.J.","email":"","affiliations":[{"id":36678,"text":"Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":817574,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Dokukin, M.","contributorId":260216,"corporation":false,"usgs":false,"family":"Dokukin","given":"M.","email":"","affiliations":[],"preferred":false,"id":817575,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Dunning, S.A.","contributorId":260217,"corporation":false,"usgs":false,"family":"Dunning","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":817576,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Frey, Herbert","contributorId":221663,"corporation":false,"usgs":false,"family":"Frey","given":"Herbert","email":"","affiliations":[],"preferred":false,"id":817577,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Gascoin, S.","contributorId":260218,"corporation":false,"usgs":false,"family":"Gascoin","given":"S.","email":"","affiliations":[],"preferred":false,"id":817578,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Haritashya, U. K.","contributorId":167410,"corporation":false,"usgs":false,"family":"Haritashya","given":"U. K.","affiliations":[],"preferred":false,"id":817579,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Huggel, C.","contributorId":89347,"corporation":false,"usgs":true,"family":"Huggel","given":"C.","email":"","affiliations":[],"preferred":false,"id":817580,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Kaab, A.","contributorId":150636,"corporation":false,"usgs":false,"family":"Kaab","given":"A.","email":"","affiliations":[],"preferred":false,"id":817581,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Kargel, J.S.","contributorId":88096,"corporation":false,"usgs":true,"family":"Kargel","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":817582,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Kavanaugh, J.L.","contributorId":260219,"corporation":false,"usgs":false,"family":"Kavanaugh","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":817584,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Lacroix, P.","contributorId":260220,"corporation":false,"usgs":false,"family":"Lacroix","given":"P.","email":"","affiliations":[],"preferred":false,"id":817585,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Petley, D. N.","contributorId":205818,"corporation":false,"usgs":false,"family":"Petley","given":"D. N.","affiliations":[{"id":37171,"text":"Universityof Sheffield","active":true,"usgs":false}],"preferred":false,"id":817586,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Rupper, S.","contributorId":260221,"corporation":false,"usgs":false,"family":"Rupper","given":"S.","affiliations":[],"preferred":false,"id":817587,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Azam, M.F.","contributorId":260222,"corporation":false,"usgs":false,"family":"Azam","given":"M.F.","email":"","affiliations":[],"preferred":false,"id":817588,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Cook, S.J.","contributorId":260223,"corporation":false,"usgs":false,"family":"Cook","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":817589,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Dimri, A.P.","contributorId":260224,"corporation":false,"usgs":false,"family":"Dimri","given":"A.P.","email":"","affiliations":[],"preferred":false,"id":817590,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Eriksson, M.","contributorId":260225,"corporation":false,"usgs":false,"family":"Eriksson","given":"M.","email":"","affiliations":[],"preferred":false,"id":817591,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Farinotti, D.","contributorId":260226,"corporation":false,"usgs":false,"family":"Farinotti","given":"D.","email":"","affiliations":[],"preferred":false,"id":817592,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Fiddes, J.","contributorId":260227,"corporation":false,"usgs":false,"family":"Fiddes","given":"J.","email":"","affiliations":[],"preferred":false,"id":817593,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Gnyawali, K.R.","contributorId":260228,"corporation":false,"usgs":false,"family":"Gnyawali","given":"K.R.","email":"","affiliations":[],"preferred":false,"id":817594,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Harrison, S.","contributorId":16947,"corporation":false,"usgs":true,"family":"Harrison","given":"S.","affiliations":[],"preferred":false,"id":817595,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Jha, M.K.","contributorId":58127,"corporation":false,"usgs":true,"family":"Jha","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":817596,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Koppes, M.","contributorId":260230,"corporation":false,"usgs":false,"family":"Koppes","given":"M.","affiliations":[],"preferred":false,"id":817597,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Kumar, S.","contributorId":17714,"corporation":false,"usgs":true,"family":"Kumar","given":"S.","affiliations":[],"preferred":false,"id":817598,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Leiness, S.","contributorId":260231,"corporation":false,"usgs":false,"family":"Leiness","given":"S.","email":"","affiliations":[],"preferred":false,"id":817599,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Majeed, U.","contributorId":260232,"corporation":false,"usgs":false,"family":"Majeed","given":"U.","email":"","affiliations":[],"preferred":false,"id":817600,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Mai, S.","contributorId":34303,"corporation":false,"usgs":true,"family":"Mai","given":"S.","email":"","affiliations":[],"preferred":false,"id":817601,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Muhuri, A.","contributorId":260234,"corporation":false,"usgs":false,"family":"Muhuri","given":"A.","email":"","affiliations":[],"preferred":false,"id":817602,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Noetzli, J.","contributorId":260235,"corporation":false,"usgs":false,"family":"Noetzli","given":"J.","email":"","affiliations":[],"preferred":false,"id":817603,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Paul, F.","contributorId":248598,"corporation":false,"usgs":false,"family":"Paul","given":"F.","affiliations":[],"preferred":false,"id":817604,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Rashid, I.","contributorId":53600,"corporation":false,"usgs":false,"family":"Rashid","given":"I.","email":"","affiliations":[],"preferred":false,"id":817605,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Sain, K.","contributorId":59610,"corporation":false,"usgs":true,"family":"Sain","given":"K.","affiliations":[],"preferred":false,"id":817606,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Steiner, J.","contributorId":167414,"corporation":false,"usgs":false,"family":"Steiner","given":"J.","affiliations":[],"preferred":false,"id":817607,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Ugalde, F.","contributorId":84536,"corporation":false,"usgs":true,"family":"Ugalde","given":"F.","email":"","affiliations":[],"preferred":false,"id":817608,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Watson, C.S.","contributorId":260238,"corporation":false,"usgs":false,"family":"Watson","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":817609,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Westoby, M.J.","contributorId":260239,"corporation":false,"usgs":false,"family":"Westoby","given":"M.J.","affiliations":[],"preferred":false,"id":817610,"contributorType":{"id":1,"text":"Authors"},"rank":53}]}} ,{"id":70222475,"text":"70222475 - 2021 - A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides","interactions":[],"lastModifiedDate":"2021-11-16T15:33:34.255617","indexId":"70222475","displayToPublicDate":"2021-06-10T08:08:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides","docAbstract":"

Coseismic landslides are a major source of transportation disruption in mountainous areas, but few approaches exist for rapidly estimating impacts to road networks. We develop a model that links the U.S. Geological Survey (USGS) near-real-time earthquake-triggered landslide hazard model with Open Street Map (OSM) road network data to rapidly estimate segment-level obstruction risk following major earthquake activity worldwide. To train and validate the model, we process OSM data for 15 historical earthquakes and calculate the average segment-level landslide hazard from the USGS model for each event. We then fit a multivariate adaptive regression spline model for the probability of road obstruction as a function of road segment length and landslide hazard, using a training and validation dataset derived from the intersections of road networks with earthquake-triggered landslide inventories. The resulting probabilistic model is well calibrated across a range of earthquake events, with estimated obstruction probabilities matching the relative frequency of potential road obstructions. The model runs quickly and is capable of producing road segment-level obstruction estimates within minutes to hours of a major earthquake. However, in near-real-time application, the accuracy of the obstruction estimates will be dependent on the quality of the ShakeMap shaking estimates, which often improves with time as more information becomes available after the earthquake. By providing a rapid first-order translation of landslide hazard into potential infrastructure impacts, this model helps provide emergency responders with tangible information on initial areas of concern.

","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/87552930211020022","usgsCitation":"Wilson, B., Allstadt, K.E., and Thompson, E.M., 2021, A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides: Earthquake Spectra, v. 37, no. 4, p. 2400-2418, https://doi.org/10.1177/87552930211020022.","productDescription":"19 p.","startPage":"2400","endPage":"2418","ipdsId":"IP-127999","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":436318,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9681WYD","text":"USGS data release","linkHelpText":"gfail_lifelines"},{"id":387580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, B.H.","contributorId":221584,"corporation":false,"usgs":false,"family":"Wilson","given":"B.H.","email":"","affiliations":[],"preferred":false,"id":820169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820171,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228458,"text":"70228458 - 2021 - Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data","interactions":[],"lastModifiedDate":"2022-02-11T20:17:25.428531","indexId":"70228458","displayToPublicDate":"2021-06-09T14:13:35","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data","docAbstract":"Understanding the influence of individual attributes on demographic processes is a key objective of wildlife population studies. Capture-recapture and age data are commonly collected to investigate hypotheses about survival, reproduction, and viability. We present a novel age-structured Jolly-Seber model that incorporates age and capture-recapture data to provide comprehensive information on population dynamics, including abundance, age-dependent survival, recruitment, age structure, and population growth rates. We applied our model to a multi-year capture-recapture study of polar bears (Ursus maritimus) in western Hudson Bay, Canada (20122018), where management and conservation require a detailed understanding of how polar bears respond to climate change and other factors. In simulation studies, the age-structured Jolly-Seber model improved precision of survival, recruitment, and annual abundance estimates relative to standard Jolly-Seber models that omit age information. Furthermore, incorporating age information improved precision of population growth rates, increased power to detect trends in abundance, and allowed direct estimation of age-dependent survival and changes in annual age structure. Our case study provided detailed evidence for senescence in polar bear survival. Median survival estimates were lower (<0.95) for individuals aged <5 years, remained high (>0.95) for individuals aged 722 years, and subsequently declined to near zero for individuals >30 years. We also detected cascading effects of large recruitment classes on population age structure, which created major shifts in age structure when these classes entered the population and then again when they reached prime breeding ages (1015 years old). Overall, age-structured Jolly-Seber models provide a flexible means to investigate ecological and evolutionary processes that shape populations (e.g., via senescence, life expectancy, and lifetime reproductive success) while improving our ability to investigate population dynamics and forecast population changes from capture-recapture data.","language":"English","publisher":"Plos","doi":"10.1371/journal.pone.0252748","usgsCitation":"Hostetter, N., Lunn, N.J., Richardson, E.S., Regehr, E.V., and Converse, S.J., 2021, Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data: PLoS ONE, .0252748, 19 p., https://doi.org/10.1371/journal.pone.0252748.","productDescription":".0252748, 19 p.","ipdsId":"IP-116069","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":451942,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0252748","text":"Publisher Index Page"},{"id":395865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Hostetter, Nathan J.","contributorId":275833,"corporation":false,"usgs":false,"family":"Hostetter","given":"Nathan J.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":834349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lunn, Nicholas J.","contributorId":275835,"corporation":false,"usgs":false,"family":"Lunn","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":56899,"text":"canada","active":true,"usgs":false}],"preferred":false,"id":834350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, Evan S.","contributorId":275836,"corporation":false,"usgs":false,"family":"Richardson","given":"Evan","email":"","middleInitial":"S.","affiliations":[{"id":56899,"text":"canada","active":true,"usgs":false}],"preferred":false,"id":834351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regehr, Eric V.","contributorId":275837,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":834352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834348,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223155,"text":"70223155 - 2021 - Biotic vs abiotic controls on temporal sensitivity of primary production to precipitation across North American drylands","interactions":[],"lastModifiedDate":"2021-09-14T16:50:28.22241","indexId":"70223155","displayToPublicDate":"2021-06-09T07:19:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Biotic vs abiotic controls on temporal sensitivity of primary production to precipitation across North American drylands","docAbstract":"","language":"English","publisher":"Wiley","doi":"10.1111/nph.17543","usgsCitation":"Felton, A., Shriver, R.K., Bradford, J., Suding, K.N., Allred, B.W., and Adler, P.B., 2021, Biotic vs abiotic controls on temporal sensitivity of primary production to precipitation across North American drylands: New Phytologist, v. 231, no. 6, p. 2150-2161, https://doi.org/10.1111/nph.17543.","productDescription":"12 p.","startPage":"2150","endPage":"2161","ipdsId":"IP-130381","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":451960,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.17543","text":"Publisher Index Page"},{"id":387892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"231","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Felton, Andrew J","contributorId":264213,"corporation":false,"usgs":false,"family":"Felton","given":"Andrew J","affiliations":[{"id":54404,"text":"Department of Wildland Resources and The Ecology Center, Utah State University, Logan, Utah","active":true,"usgs":false}],"preferred":false,"id":821118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shriver, Robert K 0000-0002-4590-4834","orcid":"https://orcid.org/0000-0002-4590-4834","contributorId":222834,"corporation":false,"usgs":false,"family":"Shriver","given":"Robert","email":"","middleInitial":"K","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":821119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":821120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suding, Katharine N. 0000-0002-5357-0176","orcid":"https://orcid.org/0000-0002-5357-0176","contributorId":168385,"corporation":false,"usgs":false,"family":"Suding","given":"Katharine","email":"","middleInitial":"N.","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":821121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allred, Brady W","contributorId":216378,"corporation":false,"usgs":false,"family":"Allred","given":"Brady","email":"","middleInitial":"W","affiliations":[{"id":39397,"text":"W.A. Franke College of Forestry and Conservation University of Montana, Missoula","active":true,"usgs":false}],"preferred":false,"id":821122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adler, Peter B.","contributorId":64789,"corporation":false,"usgs":false,"family":"Adler","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":821123,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228896,"text":"70228896 - 2021 - Integrated hydrology and operations modeling to evaluate climate change impacts in an agricultural valley irrigated with snowmelt runoff","interactions":[],"lastModifiedDate":"2022-02-23T12:55:03.615285","indexId":"70228896","displayToPublicDate":"2021-06-09T06:47:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Integrated hydrology and operations modeling to evaluate climate change impacts in an agricultural valley irrigated with snowmelt runoff","docAbstract":"

Applying models to developed agricultural regions remains a difficult problem because there are no existing modeling codes that represent both the complex physics of the hydrology and anthropogenic manipulations to water distribution and consumption. We apply an integrated groundwater – surface water and hydrologic river operations model to an irrigated river valley in northwestern Nevada/northern California, United States to evaluate the impacts of climate change on snow-fed agricultural systems that use surface water and groundwater conjunctively. We explicitly represent individual surface water rights within the hydrologic model and allow the integrated code to change river diversions in response to earlier snowmelt runoff and water availability. Historically under-used supplemental groundwater rights are dynamically activated within the model to offset diminished surface water deliveries. The model accounts for feedbacks between the natural hydrology and anthropogenic stresses, which is a first-of-its-kind assessment of the impacts of climate change on individual water rights, and more broadly on river basin operations. Earlier snowmelt decreases annual surface water deliveries to all water rights, not just the junior water rights, owing to a lack of surface water storage in the upper river basin capable of capturing earlier runoff. Conversely, downstream irrigators with access to reservoir storage benefit from earlier runoff flowing past upstream points of diversion prior to the start of the irrigation season. Despite regional shifts toward greater reliance on groundwater for irrigation, crop consumption (a common surrogate for crop yield) decreases due to spatiotemporal changes in water supply that preferentially impact a subset of growers in the region.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020WR027924","usgsCitation":"Kitlasten, W., Morway, E.D., Niswonger, R.G., Gardner, M., White, J.T., Triana, E., and Selkowitz, D.J., 2021, Integrated hydrology and operations modeling to evaluate climate change impacts in an agricultural valley irrigated with snowmelt runoff: Water Resources Research, v. 57, no. 6, e2020WR027924, 30 p., https://doi.org/10.1029/2020WR027924.","productDescription":"e2020WR027924, 30 p.","ipdsId":"IP-117751","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":451969,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020wr027924","text":"Publisher Index Page"},{"id":436323,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MDWZM4","text":"USGS data release","linkHelpText":"GSFLOW and MODSIM-GSFLOW model used to evaluate the potential effects of increased temperature on the Carson Valley watershed and agricultural system in eastern California and western Nevada"},{"id":396333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Carson Valley system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.9921875,\n 37.96152331396614\n ],\n [\n -119.0478515625,\n 37.96152331396614\n ],\n [\n -119.0478515625,\n 39.53793974517628\n ],\n [\n -121.9921875,\n 39.53793974517628\n ],\n [\n -121.9921875,\n 37.96152331396614\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kitlasten, Wesley 0000-0002-2049-9107","orcid":"https://orcid.org/0000-0002-2049-9107","contributorId":279994,"corporation":false,"usgs":false,"family":"Kitlasten","given":"Wesley","affiliations":[],"preferred":false,"id":835821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":835822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":835823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, Murphy 0000-0002-3951-6667","orcid":"https://orcid.org/0000-0002-3951-6667","contributorId":279996,"corporation":false,"usgs":false,"family":"Gardner","given":"Murphy","affiliations":[],"preferred":false,"id":835824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Jeremy T. 0000-0002-4950-1469 jwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":167708,"corporation":false,"usgs":true,"family":"White","given":"Jeremy","email":"jwhite@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":835825,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Triana, Enrique","contributorId":169532,"corporation":false,"usgs":false,"family":"Triana","given":"Enrique","email":"","affiliations":[{"id":25556,"text":"MWH Global, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":835826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Selkowitz, David J. 0000-0003-0824-7051 dselkowitz@usgs.gov","orcid":"https://orcid.org/0000-0003-0824-7051","contributorId":3259,"corporation":false,"usgs":true,"family":"Selkowitz","given":"David","email":"dselkowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":835827,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221226,"text":"ofr20211021 - 2021 - Cape Romain partnership for coastal protection","interactions":[],"lastModifiedDate":"2021-06-09T15:41:26.952716","indexId":"ofr20211021","displayToPublicDate":"2021-06-08T16:20:09","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1021","displayTitle":"Cape Romain Partnership for Coastal Protection","title":"Cape Romain partnership for coastal protection","docAbstract":"

This final report summarizes activities, outcomes, and lessons learned from a 3-year project titled “Climate Change Adaptation for Coastal National Wildlife Refuges” with the Cape Romain National Wildlife Refuge (NWR) and local partners in the surrounding South Carolina Lowcountry. The Lowcountry is classified as the 10-county area encompassing the coastal plain of South Carolina (this report specifically focuses on Berkeley, Charleston, and Georgetown Counties). The goals of this work, sponsored by the U.S. Geological Survey’s Southeast Climate Adaptation Science Center (SECASC), were to foster active engagement with stakeholders; to develop a comprehensive definition of adaptation problems faced by agencies, organizations, and individuals near the Cape Romain NWR that accounts for global change, local values, knowledge and perceptions; and to encourage social learning and building of effective networks and trust across South Carolina Lowcountry organizations and individuals. Although project scoping began at the scale of the Atlantic seaboard, by engaging with NWRs from Massachusetts to Florida, participating refuge personnel eventually selected the Cape Romain NWR to serve as a case study for testing our goals. The Cape Romain Partnership for Coastal Conservation was established to address global change impacts at a regional level and includes representation from Federal and State resource agencies, local conservation nongovernmental organizations, and organizations representing underserved community interests. Research topics, originating from discussions with Cape Romain Partnership for Coastal Conservation members, focused on quantifying key drivers of change including localized sea-level rise (SLR) predictions, estimates of coastal hurricane inundation as amplified by SLR, and urban growth trends and forecasts. These key drivers provided a foundation to engage stakeholders in planning exercises to begin a process of collective understanding and collaborative decision making. The goal of this process was to develop collective strategies of adaptation to enhance community and ecosystem resilience in the South Carolina Lowcountry.

South Carolina’s Lowcountry is experiencing rapid environmental and social transformation because of SLR rates approaching twice the global average, chronic tidal flooding and catastrophic storm surges, erosion and loss of habitats that provide essential services to wildlife and humans, and increasing social polarization fueled by aggressive low-density urban growth and other forms of land conversion. To support characterizations of plausible future scenarios, we used available or, in some cases, developed new models to project future conditions of key environmental and social-economic drivers. Because of the imprecision of mean global SLR projections, the SECASC commissioned a climatological study to account for local conditions and multiple representative concentration pathways to project a tailored distribution of future sea levels. These projections were matched to SLR scenarios provided by existing models to anticipate the range of future coastal habitat changes in the South Carolina Lowcountry. SLR scenarios were also incorporated into existing storm-surge models, which do not account for alternate baseline sea levels, to project the local effects of future hurricanes. To evaluate the extent and effects of population growth and urban expansion, we relied on an existing urban-growth model to map the spatial distribution of land-conversion probabilities, the total area of which is predicted to increase twofold to threefold over the next 60 years. In addition to this simplified model, an econometric model is in development to account for nonlinear feedback dynamics in land value, land use, and ecosystem service production. Although not yet completed, the goals of this model are to produce more-detailed projections of growth dynamics and to allow predictions of development patterns resulting from alternate land-use planning policies and incentives.

Collaborative planning for an uncertain future requires more than providing decision makers with information on future physical and ecological conditions; developing effective and consensual strategies must also integrate sociological values, multiple cultural perspectives, and an understanding of human behavior. To support broad stakeholder engagement in integrative approaches to adaptation planning, emphasis was placed on the importance of considering differences in how individuals perceive their environment and create meaning. Because cultural frameworks form the basis for perceptions and, ultimately, the behaviors of individuals and institutions, we describe a model of human behavior and how it can be used to understand the effect of cultural complexity and variation in perception on choices, behavioral change, and long-term maintenance of behaviors. We consider a model commonly used in the field of behavioral health that accommodates variation in human perception when describing stages of behavior and the dynamics of behavioral change. Tailoring communication and engagement activities to targeted stakeholders is likely to benefit from increased understanding of behavioral change processes.

The complex nature of this problem limited the usefulness of a traditional decision-analytic approach, we explored alternative methods for engagement, collaborative learning and decision making. Recognizing that project partners and Lowcountry stakeholders may be at different stages of preparedness and interest level for modifying behavior as a function of global change, we facilitated a scenario-planning exercise to familiarize partners with this well-established approach for communicating the opportunities and threats arising under alternative, plausible futures. We developed narratives for four alternative South Carolina Lowcountry scenarios to be used in later strategic planning that focus on quantitative trends for three primary drivers with high impact and high uncertainty: manifestations of climate change, social-political shifts at a global level, and forces of local value and power structures. This scenario-planning exercise underscored the complex relation between the temporospatial scale of the production of ecological goods and services and the institutional scale at which they are managed. We then guided the partners through an assessment of the relevant strengths and weaknesses of the Cape Romain Partnership for Coastal Protection, using the threats and opportunities characterized by each scenario to understand how the partnership might respond when attempting to meet conservation and societal objectives. The partnership identified key strengths including partnership experience, outreach and technical capacities, a substantial conservation land base, and high social cohesion in the South Carolina Lowcountry. Limited communication expertise, institutional inertia, and insufficient staffing and funding were recognized as important weaknesses across the partnership. By examining and scoring combinations of internal strengths and weaknesses and external threats and opportunities, the partnership developed sets of prioritized strategies to consider in the context of a given scenario. Although we had insufficient time to examine all scenarios in detail, the intent was to identify a portfolio of strategic actions to address threats and opportunities represented in multiple plausible futures. Top-ranking strategies encompassed a range of actions that focused on strengthening the conservation community and communicating the benefits of nature (that is, ecosystem services) to leveraging partnerships to expand land protection.

This report also details the methods and preliminary results of several models developed or applied in support of this project. Two parcel-selection algorithms were used to evaluate anticipated habitat changes and patterns of urban growth to guide decisions on optimal conservation reserve design to protect habitat communities. One approach used a widely available planning software (MARXAN) to maximize conservation benefits near the Cape Romain NWR, whereas the other approach was a novel application of economic theory to account for uncertainty in future conditions and for the risks of unanticipated habitat loss. This latter model applies modern portfolio theory to estimate the risk of investing in any portfolio of land parcels (that is, candidate “reserves”) under climate-change uncertainty by quantifying the variation and spatial correlation of conservation benefits derived from each portfolio. We expanded the range of actions beyond simply whether or not to invest in a set of land parcels, an approach commonly used in spatial conservation planning, to also include consideration of divestment from currently protected lands. Such refinements allow for better accounting of system dynamics and can evaluate the benefits of flexible conservation tools such as rolling easements. Model results were conditional on a decision maker’s risk tolerance but highlighted general strategies of land conservation to increase future habitat representation beyond what is expected under the current protected land base. We built models that may help inform coastal planning by estimating salinity dynamics and the performance of oyster reef restoration efforts to predict the combined effects of global change and management of freshwater flows on coastal habitats and the processes that contribute to their resilience. These models can support restoration decisions by evaluating the expected benefits of site locations for shoreline protection and fisheries production. Lastly, we developed a spatially explicit economic model that predicts feedback dynamics among land value, land-use change, and effects on ecosystem service provision to explore zoning policies and incentives on urban growth and ecosystem services.

We summarize these efforts with insights and considerations for the Cape Romain Partnership for Coastal Protection to continue to engage stakeholders in effective adaptation planning. First, notions of place attachment (referred to as sense of place), and the role of culture in social discourse are increasingly being used to understand the complex interactions between society and the environment and how societies respond and adapt to climate change. Sense of place was a unifying theme whenever the future of the South Carolina Lowcountry was discussed. The contribution of the South Carolina Lowcountry’s environmental wealth, rich cultural heritage, and quality of life to sense of place has important implications for how adaptation planning might best be pursued. More community-based governance of the commons (in other words, natural and cultural resources held in common), in which broad stakeholder participation and power sharing are key elements, is considered important. This devolution of governance is characterized by polycentric institutions and self-organizing social networks that promote a local culture of knowledge sharing, problem solving, and learning. These so-called bridging organizations (or individuals) often provide the leadership necessary to bring together potentially disparate Government agencies and institutions, private organizations, and individuals in a collective process of problem solving. Our observations also suggest that the conservation community in the South Carolina Lowcountry views its activities as integral to the broader governance of social-ecological systems, in which responses to the forces of global change are mediated through culture, economics, and politics. Rather than directly competing with other interests, the South Carolina Lowcountry conservation community seems to embrace an interpretation of conservation in which the fundamental objective is the quality of human life rather than environmental protection.

Fundamental to the types of governance reforms described above is the notion of coproduction, in which experts and users collaborate to develop a shared body of knowledge. In this approach, scientists work with stakeholders to help frame questions, design research, and collect and analyze data. Such sustained collaborations are increasingly believed to be an effective way to produce useable (or actionable) science. The emphasis on social learning, leveraging strong social networks, coordinating and deliberating among diverse stakeholders, and applying principles of adaptive management is an essential contribution to adaptive capacity. The diverse and robust set of scientific approaches, methods to help stakeholders collaborate in effective and goal-driven planning processes, and decision tools resulting from this project hopefully will assist Cape Romain NWR and its partners prepare for climatic, ecological, and social changes over the coming decades.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211021","usgsCitation":"Eaton, M.J., Johnson, F.A., Mikels-Carrasco, J., Case, D.J., Martin, J., Stith, B., Yurek, S., Udell, B., Villegas, L., Taylor, L., Haider, Z., Charkhgard, H., and Kwon, C., 2021, Cape Romain Partnership for Coastal Protection: U.S. Geological Survey Open-File Report 2021–1021, 158 p., https://doi.org/10.3133/ofr20211021.","productDescription":"xii, 158 p.","numberOfPages":"174","onlineOnly":"Y","ipdsId":"IP-100705","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":386276,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1021/coverthb.jpg"},{"id":386277,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1021/ofr20211021.pdf","text":"Report","size":"33.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1021"}],"country":"United States","state":"South Carolina","otherGeospatial":"Cape Romain National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.8431396484375,\n 32.78842902722552\n ],\n [\n -79.815673828125,\n 32.765336175015776\n ],\n [\n -79.63577270507811,\n 32.85421076375021\n ],\n [\n -79.55886840820312,\n 32.92455477363828\n ],\n [\n -79.47784423828125,\n 33.00981511270531\n ],\n [\n -79.3487548828125,\n 33.0063602132054\n ],\n [\n -79.27047729492188,\n 33.12490094278685\n ],\n [\n -79.34600830078125,\n 33.16169660598766\n ],\n [\n -79.50393676757812,\n 33.060471419708115\n ],\n [\n -79.60968017578125,\n 32.99599470276581\n ],\n [\n -79.6673583984375,\n 32.93838636388491\n ],\n [\n -79.68658447265625,\n 32.91533251206152\n ],\n [\n -79.8431396484375,\n 32.78842902722552\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Southeast Climate Adaptation Science Center
U.S. Geological Survey
127 David Clark Labs
Raleigh, NC 27695

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-06-08","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":216712,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":817128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Fred A. 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":213877,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":817129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mikels-Carrasco, Jessica","contributorId":245520,"corporation":false,"usgs":false,"family":"Mikels-Carrasco","given":"Jessica","email":"","affiliations":[{"id":49215,"text":"D.J. Case & Assoc.","active":true,"usgs":false}],"preferred":false,"id":817130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Case, David J.","contributorId":140653,"corporation":false,"usgs":false,"family":"Case","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13543,"text":"DJ Case & Associates","active":true,"usgs":false}],"preferred":false,"id":817131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":216722,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":817132,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stith, Bradley bstith@usgs.gov","contributorId":3596,"corporation":false,"usgs":true,"family":"Stith","given":"Bradley","email":"bstith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":817133,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216729,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":817134,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Udell, Bradley","contributorId":216709,"corporation":false,"usgs":false,"family":"Udell","given":"Bradley","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":817135,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Villegas, Laura","contributorId":238524,"corporation":false,"usgs":false,"family":"Villegas","given":"Laura","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":817136,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taylor, Laura","contributorId":169433,"corporation":false,"usgs":false,"family":"Taylor","given":"Laura","email":"","affiliations":[{"id":25510,"text":"NC State University","active":true,"usgs":false}],"preferred":false,"id":817137,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Haider, Zulquarnain","contributorId":216706,"corporation":false,"usgs":false,"family":"Haider","given":"Zulquarnain","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":817138,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Charkhgard, Hadi","contributorId":216710,"corporation":false,"usgs":false,"family":"Charkhgard","given":"Hadi","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":817139,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kwon, Changhyun","contributorId":216711,"corporation":false,"usgs":false,"family":"Kwon","given":"Changhyun","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":817140,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70221219,"text":"ofr20211052 - 2021 - Fluvial Egg Drift Simulator (FluEgg) user’s manual","interactions":[],"lastModifiedDate":"2021-06-09T15:26:43.415516","indexId":"ofr20211052","displayToPublicDate":"2021-06-08T11:02:47","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1052","displayTitle":"Fluvial Egg Drift Simulator (FluEgg) User’s Manual","title":"Fluvial Egg Drift Simulator (FluEgg) user’s manual","docAbstract":"

The Fluvial Egg Drift Simulator (FluEgg) was developed to simulate the transport and dispersion of invasive carp eggs and larvae in a river. FluEgg currently (2020) supports modeling of bighead carp (Hypophthalmichthys nobilis), silver carp (H. molitrix), and grass carp (Ctenopharyngodon idella), with the planned addition of black carp (Mylopharyngodon piceus) once developmental data are available. FluEgg integrates the biological development of invasive carp eggs and larvae with a particle transport model that simulates the advection and dispersion of the eggs and larvae based on user-supplied one-dimensional hydraulic conditions. FluEgg can be used to evaluate the hydrodynamic suitability of a river for invasive carp spawning, to inform sampling and monitoring efforts, and to identify the most likely spawning areas of captured eggs or larvae.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211052","usgsCitation":"Domanski, M.M., LeRoy, J.Z., Berutti, M., and Jackson, P.R., 2021, Fluvial Egg Drift Simulator (FluEgg) user’s manual: U.S. Geological Survey Open-File Report 2021–1052, 30 p., https://doi.org/10.3133/ofr20211052.","productDescription":"Report: vii, 30 p.; Software Release","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-120778","costCenters":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":386269,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1052/coverthb.jpg"},{"id":386270,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1052/ofr20211052.pdf","text":"Report","size":"2.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1052"},{"id":386273,"rank":3,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P93UCQR2","text":"USGS software release","linkHelpText":"— FluEgg"}],"contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-06-08","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Domanski, Marian M. 0000-0002-0468-314X mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeRoy, Jessica Z. 0000-0003-4035-6872 jzinger@usgs.gov","orcid":"https://orcid.org/0000-0003-4035-6872","contributorId":174534,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica","email":"jzinger@usgs.gov","middleInitial":"Z.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berutti, Michael","contributorId":259314,"corporation":false,"usgs":false,"family":"Berutti","given":"Michael","email":"","affiliations":[],"preferred":false,"id":817104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817105,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222071,"text":"70222071 - 2021 - Using systems thinking to inform management of imperiled species: A case study with sea turtles","interactions":[],"lastModifiedDate":"2021-07-19T12:45:58.576944","indexId":"70222071","displayToPublicDate":"2021-06-08T09:42:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Using systems thinking to inform management of imperiled species: A case study with sea turtles","docAbstract":"

Management of imperiled species facing spatiotemporally dynamic threats is difficult. Systems thinking can inform their management by quantifying the impacts that they face. We apply systems thinking to the Northern Gulf of Mexico (NGM) loggerhead (Caretta caretta) Recovery Unit (RU), one of the smallest subpopulations of loggerheads nesting in the USA. We characterized disturbances to nests, management actions, and hatchling production across 12 nesting beaches used by this RU to explore how hatchling production would increase if disturbances were mitigated. Annual hatchling production at sites ranged from 470 to 18,191 hatchlings/year. Washovers (19.3% nests/year), washouts (17.9% nests/year), and predation (13% nests/year) were the most common annual disturbances across sites. Focusing on the most impactful disturbances at just five sites could increase annual NGM RU hatchling production by 2.2–6.7%. Efforts to mitigate washovers and washouts are ongoing in Alabama, but these may be futile against tropical cyclones, which accounted for >80% of washouts in the present study, and further require careful examination of associated adverse side-effects. Efforts to mitigate predation are common throughout this RU, but require improved knowledge of predator ecology to reach full potential. Systems thinking allowed us to create a simple model for assessing disturbances and management strategies in terms of hatchling sea turtles. This model can be augmented to run dynamic simulations of how disturbances and management actions impact hatchling production, and can be applied to other species with similar reproductive strategies.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2021.109201","usgsCitation":"Silver-Gorges, I., Ceriani, S.A., Ware, M., Lamb, M., Lamont, M., Becker, J., Carthy, R., Matechik, C., Mitchell, J.C., Pruner, R., Reynolds, M., Smith, B., Snyder, C., and Fuentes, M., 2021, Using systems thinking to inform management of imperiled species: A case study with sea turtles: Biological Conservation, v. 260, 109201, 9 p., https://doi.org/10.1016/j.biocon.2021.109201.","productDescription":"109201, 9 p.","ipdsId":"IP-124524","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":387226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.9794921875,\n 30.088107753367257\n ],\n [\n -84.44091796875,\n 30.164126343161097\n ],\n [\n -85.078125,\n 29.859701442126756\n ],\n [\n -85.53955078125,\n 30.315987718557867\n ],\n [\n -87.03369140625,\n 30.694611546632277\n ],\n [\n -87.91259765625,\n 30.86451022625836\n ],\n [\n -88.41796875,\n 30.770159115784214\n ],\n [\n -88.30810546875,\n 30.14512718337613\n ],\n [\n -85.67138671875,\n 29.878755346037977\n ],\n [\n -85.341796875,\n 29.477861195816843\n ],\n [\n -84.88037109375,\n 29.34387539941801\n ],\n [\n -83.935546875,\n 29.954934549656144\n ],\n [\n -83.9794921875,\n 30.088107753367257\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"260","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Silver-Gorges, Ian","contributorId":261178,"corporation":false,"usgs":false,"family":"Silver-Gorges","given":"Ian","email":"","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":819423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ceriani, Simona A.","contributorId":224398,"corporation":false,"usgs":false,"family":"Ceriani","given":"Simona","email":"","middleInitial":"A.","affiliations":[{"id":40873,"text":"Florida Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":819424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ware, Matthew","contributorId":209802,"corporation":false,"usgs":false,"family":"Ware","given":"Matthew","email":"","affiliations":[{"id":37980,"text":"Marine Turtle Research, Ecology and Conservation Group, Florida State University, Tallahassee, FL, USA 32306","active":true,"usgs":false}],"preferred":false,"id":819425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamb, Megan","contributorId":261180,"corporation":false,"usgs":false,"family":"Lamb","given":"Megan","email":"","affiliations":[{"id":52763,"text":"Florida Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":819426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":222403,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":819427,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Becker, Janice","contributorId":261182,"corporation":false,"usgs":false,"family":"Becker","given":"Janice","email":"","affiliations":[{"id":52763,"text":"Florida Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":819428,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carthy, Raymond 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":219303,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":819429,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Matechik, Chris","contributorId":261183,"corporation":false,"usgs":false,"family":"Matechik","given":"Chris","email":"","affiliations":[{"id":52766,"text":"Florida State University Coastal and Marine Laboratory","active":true,"usgs":false}],"preferred":false,"id":819430,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mitchell, Joseph C.","contributorId":205168,"corporation":false,"usgs":false,"family":"Mitchell","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":819431,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pruner, Raya","contributorId":261184,"corporation":false,"usgs":false,"family":"Pruner","given":"Raya","email":"","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":819432,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reynolds, Mike","contributorId":261185,"corporation":false,"usgs":false,"family":"Reynolds","given":"Mike","email":"","affiliations":[{"id":52767,"text":"Share the Beach","active":true,"usgs":false}],"preferred":false,"id":819433,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Bradley","contributorId":244348,"corporation":false,"usgs":false,"family":"Smith","given":"Bradley","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":819434,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Snyder, Caitlyn","contributorId":261186,"corporation":false,"usgs":false,"family":"Snyder","given":"Caitlyn","email":"","affiliations":[{"id":52763,"text":"Florida Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":819435,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fuentes, Mariana M. P. B.","contributorId":261187,"corporation":false,"usgs":false,"family":"Fuentes","given":"Mariana M. P. B.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":819436,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70222512,"text":"70222512 - 2021 - Riparian forest cover modulates phosphorus storage and nitrogen cycling in agricultural stream sediments","interactions":[],"lastModifiedDate":"2021-08-03T12:03:58.961776","indexId":"70222512","displayToPublicDate":"2021-06-08T09:08:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Riparian forest cover modulates phosphorus storage and nitrogen cycling in agricultural stream sediments","docAbstract":"

Watershed land cover affects in-stream water quality and sediment nutrient dynamics. The presence of natural land cover in the riparian zone can reduce the negative effects of agricultural land use on water quality; however, literature evaluating the effects of natural riparian land cover on stream sediment nutrient dynamics is scarce. The objective of this study was to assess if stream sediment phosphorus retention and nitrogen removal varies with riparian forest cover in agricultural watersheds. Stream sediment nutrient dynamics from 28 sites with mixed land cover were sampled three times during the growing season. Phosphorus dynamics and nitrification rates did not change considerably throughout the study period. Sediment total phosphorus concentrations and nitrification rates decreased as riparian forest cover increased likely due to a decline in fine, organic material. Denitrification rates were strongly correlated to surface water nitrate concentrations. Denitrification rate and denitrification enzyme activity decreased with an increase in forest cover during the first sampling period only. The first sampling period coincided with the greatest connectivity between the watershed and in-stream processing, indicating that riparian forest cover indirectly decreased denitrification rates by reducing the concentrations of dissolved nutrients entering the stream. This reduction in load may allow the sediment to maintain greater nitrogen removal efficiency, because bacteria are not saturated with nitrogen. Riparian forest cover also appeared to lessen the effect of agriculture in the watershed by decreasing the amount of fine material in the stream, resulting in reduced phosphorus storage in the stream sediment.

","language":"English","publisher":"Springer","doi":"10.1007/s00267-021-01484-9","usgsCitation":"Kreiling, R.M., Bartsch, L., Perner, P.M., Hlavacek, E., and Christensen, V., 2021, Riparian forest cover modulates phosphorus storage and nitrogen cycling in agricultural stream sediments: Environmental Management, v. 68, p. 279-293, https://doi.org/10.1007/s00267-021-01484-9.","productDescription":"15 p.","startPage":"279","endPage":"293","ipdsId":"IP-115956","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":436324,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PAS8DP","text":"USGS data release","linkHelpText":"Great Lakes Restoration Initiative Fox River Basin 2018 Data"},{"id":387625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Fox River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.14306640625,\n 43.43696596521823\n ],\n [\n -87.1875,\n 43.43696596521823\n ],\n [\n -87.1875,\n 45.91294412737392\n ],\n [\n -89.14306640625,\n 45.91294412737392\n ],\n [\n -89.14306640625,\n 43.43696596521823\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"68","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perner, Patrik Mathis 0000-0002-6142-518X","orcid":"https://orcid.org/0000-0002-6142-518X","contributorId":261675,"corporation":false,"usgs":true,"family":"Perner","given":"Patrik","email":"","middleInitial":"Mathis","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820393,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221326,"text":"70221326 - 2021 - Developing a strategy for the national coordinated soil moisture monitoring network","interactions":[],"lastModifiedDate":"2021-08-03T16:23:29.131132","indexId":"70221326","displayToPublicDate":"2021-06-08T07:46:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Developing a strategy for the national coordinated soil moisture monitoring network","docAbstract":"

Soil moisture is a critical land surface variable, affecting a wide variety of climatological, agricultural, and hydrological processes. Determining the current soil moisture status is possible via a variety of methods, including in situ monitoring, remote sensing, and numerical modeling. Although all of these approaches are rapidly evolving, there is no cohesive strategy or framework to integrate these diverse information sources to develop and disseminate coordinated national soil moisture products that will improve our ability to understand climate variability. The National Coordinated Soil Moisture Monitoring Network initiative has developed a national strategy for network coordination with NOAA's National Integrated Drought Information System. The strategy is currently in review within NOAA, and work is underway to implement the initial milestones of the strategy. This update reviews the goals and steps being taken to establish this national-scale coordination for soil moisture monitoring in the United States.

","language":"English","publisher":"Wiley","doi":"10.1002/vzj2.20139","usgsCitation":"Cosh, M., Caldwell, T., Baker, B.M., Bolton, J.D., Edwards, N., Goble, P., Hofman, H., Ochsner, T., Quiring, S., Schalk, C.W., Skumanich, M., Svoboda, M., and Woloszyn, M., 2021, Developing a strategy for the national coordinated soil moisture monitoring network: Vadose Zone Journal, v. 20, no. 4, e20139, 13 p., https://doi.org/10.1002/vzj2.20139.","productDescription":"e20139, 13 p.","ipdsId":"IP-123940","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":467240,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/vzj2.20139","text":"External Repository"},{"id":386392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Cosh, Micheal","contributorId":260131,"corporation":false,"usgs":false,"family":"Cosh","given":"Micheal","email":"","affiliations":[{"id":52515,"text":"USDA, Hydrology and Remote Sensing laboratory","active":true,"usgs":false}],"preferred":false,"id":817323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Todd 0000-0003-4068-0648","orcid":"https://orcid.org/0000-0003-4068-0648","contributorId":217924,"corporation":false,"usgs":true,"family":"Caldwell","given":"Todd","email":"","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Bruce M. bakerb@usgs.gov","contributorId":116696,"corporation":false,"usgs":false,"family":"Baker","given":"Bruce","email":"bakerb@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":817325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bolton, John D.","contributorId":244941,"corporation":false,"usgs":false,"family":"Bolton","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":817326,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Nathan","contributorId":260132,"corporation":false,"usgs":false,"family":"Edwards","given":"Nathan","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":817327,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goble, Peter","contributorId":260133,"corporation":false,"usgs":false,"family":"Goble","given":"Peter","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":817328,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hofman, Heather","contributorId":260134,"corporation":false,"usgs":false,"family":"Hofman","given":"Heather","email":"","affiliations":[{"id":52518,"text":"USDA NRCS National Climate Center","active":true,"usgs":false}],"preferred":false,"id":817329,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ochsner, Tyson","contributorId":221494,"corporation":false,"usgs":false,"family":"Ochsner","given":"Tyson","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":817330,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Quiring, Steven","contributorId":245618,"corporation":false,"usgs":false,"family":"Quiring","given":"Steven","affiliations":[],"preferred":false,"id":817331,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schalk, Charles W. 0000-0003-1386-1603 cwschalk@usgs.gov","orcid":"https://orcid.org/0000-0003-1386-1603","contributorId":260135,"corporation":false,"usgs":true,"family":"Schalk","given":"Charles","email":"cwschalk@usgs.gov","middleInitial":"W.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":817332,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Skumanich, Marina","contributorId":260137,"corporation":false,"usgs":false,"family":"Skumanich","given":"Marina","email":"","affiliations":[{"id":52519,"text":"NOAA National Integrated Drought Information System","active":true,"usgs":false}],"preferred":false,"id":817366,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Svoboda, Mark","contributorId":192357,"corporation":false,"usgs":false,"family":"Svoboda","given":"Mark","email":"","affiliations":[],"preferred":false,"id":817333,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Woloszyn, Molly","contributorId":260136,"corporation":false,"usgs":false,"family":"Woloszyn","given":"Molly","email":"","affiliations":[{"id":52519,"text":"NOAA National Integrated Drought Information System","active":true,"usgs":false}],"preferred":false,"id":817334,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ]}