{"pageNumber":"504","pageRowStart":"12575","pageSize":"25","recordCount":165969,"records":[{"id":70228384,"text":"70228384 - 2021 - Comparison of sample types from white-tailed deer (Odocoileus virginianus) for DNA extraction and analyses","interactions":[],"lastModifiedDate":"2022-02-10T17:21:11.651698","indexId":"70228384","displayToPublicDate":"2021-05-11T11:16:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparison of sample types from white-tailed deer (<i>Odocoileus virginianus</i>) for DNA extraction and analyses","title":"Comparison of sample types from white-tailed deer (Odocoileus virginianus) for DNA extraction and analyses","docAbstract":"<p><span>Collection of biological samples for DNA is necessary in a variety of disciplines including disease epidemiology, landscape genetics, and forensics. Quantity and quality of DNA varies depending on the method of collection or media available for collection (e.g., blood, tissue, fecal). Blood is the most common sample collected in vials or on Whatman Flinders Technology Associates (FTA) cards with short- and long-term storage providing adequate DNA for study objectives. The focus of this study was to determine if biological samples stored on Whatman FTA Elute cards were a reasonable alternative to traditional DNA sample collection, storage, and extraction. Tissue, nasal swabs, and ocular fluid were collected from white-tailed deer (</span><i>Odocoileus virginianus</i><span>). Tissue samples and nasal swabs acted as a control to compare extraction and DNA suitability for microsatellite analysis for nasal swabs and ocular fluid extracted from FTA Elute cards. We determined that FTA Elute cards improved the extraction time and storage of samples and that nasal swabs and ocular fluid containing pigmented fluid were reasonable alternatives to traditional tissue DNA extractions.</span></p>","language":"English","publisher":"Nature Publications","doi":"10.1038/s41598-021-89390-2","usgsCitation":"Edson, J., Brown, J., Miller, W., and Walter, W., 2021, Comparison of sample types from white-tailed deer (Odocoileus virginianus) for DNA extraction and analyses: Scientific Reports, v. 11, 10003, 7 p., https://doi.org/10.1038/s41598-021-89390-2.","productDescription":"10003, 7 p.","ipdsId":"IP-115178","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":452297,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-89390-2","text":"Publisher Index Page"},{"id":395784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834160,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223093,"text":"70223093 - 2021 - A renewed philosophy about supplemental sea lamprey controls","interactions":[],"lastModifiedDate":"2022-01-07T15:55:12.877426","indexId":"70223093","displayToPublicDate":"2021-05-11T11:14:42","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":"A renewed philosophy about supplemental sea lamprey controls","docAbstract":"<p><span>Invasive sea lamprey (</span><i>Petromyzon marinus</i><span>) populations in the Laurentian Great Lakes have been reduced by up to 90% through the use of selective pesticides (lampricides) and physical sea lamprey barriers that block spawning migrations. Nevertheless, other control methods are needed to achieve&nbsp;integrated pest management&nbsp;objectives, delay&nbsp;biological resistance, and address societal pressure to reduce pesticide use and restore lotic connectivity through dam removals. Despite decades of research and scientific advances, new control tools that focus on controlling adult and juvenile life stages have been rare because tactics have not been cost-effective alternatives to lampricides and sea lamprey barriers. Here, we propose a renewed philosophy highlighting that new control methods need not be true alternatives to lampricides and sea lamprey barriers (i.e., have similar effectiveness), but instead can be useful as supplemental controls integrated with current methods, especially in places where current methods are less effective due to environmental or societal conditions. Current case studies pairing multiple supplemental controls together on two&nbsp;Lake Huron&nbsp;tributaries, the Black Mallard and Cheboygan Rivers, have shown promise in reducing sea lamprey reproductive success, the scope of lampricide treatments, and ultimately the number of juvenile sea lampreys produced. Additional case studies are planned and will be evaluated within a decade-long adaptive assessment plan.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.03.013","usgsCitation":"Siefkes, M.J., Johnson, N.S., and Muir, A.M., 2021, A renewed philosophy about supplemental sea lamprey controls: Journal of Great Lakes Research, v. 47, no. Suppl 1, p. S742-S752, https://doi.org/10.1016/j.jglr.2021.03.013.","productDescription":"11 p.","startPage":"S742","endPage":"S752","ipdsId":"IP-124405","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":452300,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.03.013","text":"Publisher Index Page"},{"id":387863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"Suppl 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Siefkes, Michael J.","contributorId":222109,"corporation":false,"usgs":false,"family":"Siefkes","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":820925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":820926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muir, Andrew M.","contributorId":176177,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":820927,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227730,"text":"70227730 - 2021 - Managing wildlife at landscape scales","interactions":[],"lastModifiedDate":"2022-01-27T17:06:06.7913","indexId":"70227730","displayToPublicDate":"2021-05-11T11:01:06","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Managing wildlife at landscape scales","docAbstract":"Managing wildlife populations on a landscape is not a new concept to the field of wildlife management. However, a variety of barriers exist to effectively manage wildlife species at landscape scales. For example, competing management objectives for the same population can occur in parts of two adjoining states and 3-4 agencies within a single state may be charged with managing the habitat on which that population depends at varying spatial scales. Moreover, most state and federal agencies have different mandates and implement management actions out of offices that have static administrative or jurisdictional boundaries. Hence, implementing management actions across relatively large spatial extents can be difficult because one manager or one agency field office may have little or no input on the management of habitats or populations for which they do not have administrative responsibility. In contrast, landscape ecologists often focus on actions that ignore those same logistical hurdles. Landscape ecologists and wildlife managers should be aware of such barriers and incorporate these unique challenges and constraints into their research questions, proposed management actions, and policies. Our goal is to identify challenges, constraints, and opportunities to managing wildlife populations at a landscape scale and describe how resource agencies and landscape ecologists can work collaboratively to overcome challenges and constraints. We also explore the potential management challenges created by continuing to manage wildlife populations and habitats based on local-scale approaches to management and decision making. Finally, we provide a case study using the greater sage-grouse as an example of challenges and constraints to managing a species at a landscape scale.","language":"English","publisher":"Johns Hopkins University Press","usgsCitation":"Connelly, J.W., and Conway, C.J., 2021, Managing wildlife at landscape scales, p. 143-157.","productDescription":"15 p.","startPage":"143","endPage":"157","ipdsId":"IP-075833","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":394980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Connelly, John W.","contributorId":272302,"corporation":false,"usgs":false,"family":"Connelly","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":831943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831942,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70231193,"text":"70231193 - 2021 - Great Lakes harmful algal blooms: Current knowledge gaps","interactions":[],"lastModifiedDate":"2022-05-03T14:10:37.442691","indexId":"70231193","displayToPublicDate":"2021-05-11T09:05:41","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Great Lakes harmful algal blooms: Current knowledge gaps","docAbstract":"Freshwater Harmful Algal Blooms (HABs) pose serious risks throughout the world to drinking water, recreation, and ecosystem health. The Great Lakes, which contain nearly 20% of the world’s available surface freshwater, have been experiencing an increase in HABs since the 1990s. Knowledge gaps relating to HABs remain even after extensive and ongoing research efforts. 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University","active":true,"usgs":false}],"preferred":false,"id":841917,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stammler, Katie","contributorId":291256,"corporation":false,"usgs":false,"family":"Stammler","given":"Katie","email":"","affiliations":[{"id":39523,"text":"Essex Region Conservation Authority","active":true,"usgs":false}],"preferred":false,"id":841916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zacharda, Nicole","contributorId":291336,"corporation":false,"usgs":false,"family":"Zacharda","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":841918,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gibbons, Kenneth J.","contributorId":173031,"corporation":false,"usgs":false,"family":"Gibbons","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":841911,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227196,"text":"70227196 - 2021 - Functional connectivity in a continuously distributed, migratory species as revealed by landscape genomics","interactions":[],"lastModifiedDate":"2022-01-04T14:46:03.590981","indexId":"70227196","displayToPublicDate":"2021-05-11T08:32:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Functional connectivity in a continuously distributed, migratory species as revealed by landscape genomics","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Maintaining functional connectivity is critical for the long-term conservation of wildlife populations. Landscape genomics provides an opportunity to assess long-term functional connectivity by relating environmental variables to spatial patterns of genomic variation resulting from generations of movement, dispersal and mating behaviors. Identifying landscape features associated with gene flow at large geographic scales for highly mobile species is becoming increasingly possible due to more accessible genomic approaches, improved analytical methods and enhanced computational power. We characterized the genetic structure and diversity of migratory mule deer<span>&nbsp;</span><i>Odocoileus hemionus</i><span>&nbsp;</span>using 4051 single nucleotide polymorphisms in 406 individuals sampled across multiple habitats throughout Wyoming, USA. We then identified environmental variables associated with genomic variation within genetic groups and statewide using a stepwise approach to first evaluate nonlinear relationships of landscape resistance with genetic distances and then use mixed-effects modeling to choose top landscape genomic models. We identified three admixed genetic groups of mule deer and found that environmental variables associated with gene flow varied among genetic groups, revealing scale-dependent and regional variation in functional connectivity. At the statewide scale, more gene flow occurred in areas with low elevation and mixed habitat. In the southern genetic group, more gene flow occurred in areas with low elevation. In the northern genetic group, more gene flow occurred in grassland and forest habitats, while highways and energy infrastructure reduced gene flow. In the western genetic group, the null model of isolation by distance best represented genetic patterns. Overall, our findings highlight the role of different seasonal ranges on mule deer genetic connectivity, and show that anthropogenic features hinder connectivity. This study demonstrates the value of combining a large, genome-wide marker set with recent advances in landscape genomics to evaluate functional connectivity in a wide-ranging migratory species.</p></div></div>","language":"English","publisher":"Wiley-Blackwell","doi":"10.1111/ecog.05600","usgsCitation":"LaCava, M.E., Gagne, R., Gustafson, K.D., Oyler-McCance, S.J., Monteith, K., Sawyer, H., Kauffman, M., Thiele, D.J., and Ernest, H.B., 2021, Functional connectivity in a continuously distributed, migratory species as revealed by landscape genomics: Ecography, v. 44, no. 7, p. 987-999, https://doi.org/10.1111/ecog.05600.","productDescription":"13 p.","startPage":"987","endPage":"999","ipdsId":"IP-124723","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":452302,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/ecog.05600","text":"External 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F.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":830044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gagne, Roderick B.","contributorId":192579,"corporation":false,"usgs":false,"family":"Gagne","given":"Roderick B.","affiliations":[],"preferred":false,"id":830045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gustafson, Kyle D. 0000-0003-1869-4023","orcid":"https://orcid.org/0000-0003-1869-4023","contributorId":270791,"corporation":false,"usgs":false,"family":"Gustafson","given":"Kyle","email":"","middleInitial":"D.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":830046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":830047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monteith, Kevin L.","contributorId":270425,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin L.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":830048,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sawyer, Hall","contributorId":39930,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[],"preferred":false,"id":830049,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":270792,"corporation":false,"usgs":false,"family":"Kauffman","given":"Matthew J.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":830050,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thiele, Daniel J.","contributorId":270793,"corporation":false,"usgs":false,"family":"Thiele","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":36222,"text":"Wyoming Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":830051,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ernest, Holly B.","contributorId":127689,"corporation":false,"usgs":false,"family":"Ernest","given":"Holly","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":830052,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70220669,"text":"70220669 - 2021 - Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?","interactions":[],"lastModifiedDate":"2021-05-25T13:23:32.146762","indexId":"70220669","displayToPublicDate":"2021-05-11T08:07:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8566,"text":"Geospatial Health","active":true,"publicationSubtype":{"id":10}},"title":"Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?","docAbstract":"<div class=\"item abstract\"><p>Long-distance migrations influence the dynamics of hostpathogen interactions and understanding the role of migratory waterfowl in the spread of the highly pathogenic avian influenza viruses (HPAIV) is important. While wild geese have been associated with outbreak events, disease ecology of closely related species has not been studied to the same extent. The swan goose (<i>Anser cygnoides</i>) and the bar-headed goose (<i>Anser indicus</i>) are congeneric species with distinctly different HPAIV infection records; the former with few and the latter with numerous records. We compared movements of these species, as well as the more distantly related whooper swan (<i>Cygnus cygnus</i>) through their annual migratory cycle to better understand exposure to HPAIV events and how this compares within and between congeneric and noncongeneric species. In spite of their record of fewer infections, swan geese were more likely to come in contact with disease outbreaks than bar-headed geese. We propose two possible explanations: i) frequent prolonged contact with domestic ducks increases innate immunity in swan geese, and/or ii) the stress of high-elevation migration reduces immunity of bar-headed geese. Continued efforts to improve our understanding of species-level pathogen response is critical to assessing disease transmission risk.</p></div>","language":"English","publisher":"Page Press","doi":"10.4081/gh.2021.909","usgsCitation":"Yin, S., Xu, Y., Batbayar, N., Takekawa, J., Si, Y., Prosser, D., Newman, S., Prins, H.H., and de Boer, W.F., 2021, Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?: Geospatial Health, v. 16, no. 909, p. 223-230, https://doi.org/10.4081/gh.2021.909.","productDescription":"8 p.","startPage":"223","endPage":"230","ipdsId":"IP-109832","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":452304,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4081/gh.2021.909","text":"Publisher Index Page"},{"id":385923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, Mongolia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              98.0859375,\n              28.92163128242129\n            ],\n            [\n              112.8515625,\n              28.92163128242129\n            ],\n            [\n              112.8515625,\n              53.12040528310657\n            ],\n            [\n              98.0859375,\n              53.12040528310657\n            ],\n            [\n              98.0859375,\n              28.92163128242129\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n 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Yanjie","contributorId":223541,"corporation":false,"usgs":false,"family":"Xu","given":"Yanjie","email":"","affiliations":[{"id":40738,"text":"Tsinghua University","active":true,"usgs":false}],"preferred":false,"id":816362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Batbayar, Nyambyar","contributorId":258285,"corporation":false,"usgs":false,"family":"Batbayar","given":"Nyambyar","affiliations":[{"id":52270,"text":"Mongolia Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":816363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":816364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Si, Yali","contributorId":223542,"corporation":false,"usgs":false,"family":"Si","given":"Yali","email":"","affiliations":[{"id":40738,"text":"Tsinghua University","active":true,"usgs":false}],"preferred":false,"id":816365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":816366,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Newman, Scott H.","contributorId":245108,"corporation":false,"usgs":false,"family":"Newman","given":"Scott H.","affiliations":[],"preferred":false,"id":816430,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prins, Herbert H.T.","contributorId":223543,"corporation":false,"usgs":false,"family":"Prins","given":"Herbert","email":"","middleInitial":"H.T.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":816367,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"de Boer, Willem F.","contributorId":223546,"corporation":false,"usgs":false,"family":"de Boer","given":"Willem","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":816368,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70220470,"text":"70220470 - 2021 - Assessing the population impacts and cost‐effectiveness of a conservation translocation","interactions":[],"lastModifiedDate":"2021-08-17T15:57:13.737538","indexId":"70220470","displayToPublicDate":"2021-05-11T07:37:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the population impacts and cost‐effectiveness of a conservation translocation","docAbstract":"<ol class=\"\"><li>Managers often move, or translocate, organisms into habitats that are assumed to be suitable, however the consequences of these translocations are usually not rigorously assessed. Robust assessment of these management experiments should consider impacts to both donor and recipient populations and compare the cost‐effectiveness of translocations to other actions.</li><li>Here we evaluate translocations of a federally listed fish species, humpback chub within a tributary to the Colorado River in its Grand Canyon reach (Arizona, USA). We analyze mark‐recapture data with multistate models to estimate vital rates (growth, survival, and movement) for the donor and recipient populations while accounting for substantial temporal variation in vital rates. We then use stochastic matrix projections to quantify the impact of translocations on adult population size. Lastly, we compare costs of translocations to another, legally required management action, non‐native fish removal, by modifying an existing bioeconomic model.</li><li>We estimate that six of eight translocations during the study period positively impacted adult abundance and that the overall population impact was positive. Population projections suggest that each chub translocated per year increases the equilibrium adult population size by 1.2 (95% CI: 0.4 – 2.2) adults, lessening the need for non‐native fish removal.</li><li>Continuation of translocations at the current rate is expected to save managers ~$50,000 per year by decreasing the annual probability of removals from 0.26 to 0.15. Further savings and decreases in removals could be attained by avoiding translocations in years when there has been no winter/spring runoff and modifying the number of translocated individuals based on estimates of juvenile production in the lower LCR.</li><li><i>Synthesis and applications</i>. Translocations that increase the abundance of a rare species can sometimes be viewed as a hedge against future declines that might necessitate more costly interventions. Quantifying population benefits and economic costs of management actions like translocations and comparing alternative actions can lead to cost effective conservation that is more easily sustained.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13908","usgsCitation":"Yackulic, C.B., Van Haverbeke, D., Dzul, M.C., Bair, L.S., and Young, K.L., 2021, Assessing the population impacts and cost‐effectiveness of a conservation translocation: Journal of Applied Ecology, v. 58, no. 8, p. 1602-1612, https://doi.org/10.1111/1365-2664.13908.","productDescription":"11 p.","startPage":"1602","endPage":"1612","ipdsId":"IP-123000","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":436372,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W13SYO","text":"USGS data release","linkHelpText":"Humpback Chub (Gila cypha) capture history data (2009-2017), and code for mark-recapture analysis and stochastic matrix projections, Colorado River and Little Colorado River, Arizona"},{"id":385636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Little Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.346435546875,\n              36.91696023183306\n            ],\n            [\n              -112.2747802734375,\n              36.94330661415311\n            ],\n            [\n              -112.33245849609375,\n              35.89572525865904\n            ],\n            [\n              -111.412353515625,\n              35.88459964717596\n            ],\n            [\n              -111.346435546875,\n              36.91696023183306\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":815607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Haverbeke, David R.","contributorId":83838,"corporation":false,"usgs":false,"family":"Van Haverbeke","given":"David R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":815608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":815609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bair, Lucas S. 0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":815610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Kirk L.","contributorId":204247,"corporation":false,"usgs":false,"family":"Young","given":"Kirk","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":815611,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70220406,"text":"70220406 - 2021 - Climate drivers of large magnitude snow avalanche years in the U.S. northern Rocky Mountains","interactions":[],"lastModifiedDate":"2021-05-13T11:37:10.246831","indexId":"70220406","displayToPublicDate":"2021-05-11T06:57:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Climate drivers of large magnitude snow avalanche years in the U.S. northern Rocky Mountains","docAbstract":"<p><span>Large magnitude snow avalanches pose a hazard to humans and infrastructure worldwide. Analyzing the spatiotemporal behavior of avalanches and the contributory climate factors is important for understanding historical variability in climate-avalanche relationships as well as improving avalanche forecasting. We used established dendrochronological methods to develop a long-term (1867–2019) regional avalanche chronology for the Rocky Mountains of northwest Montana using tree-rings from 647 trees exhibiting 2134 avalanche-related growth disturbances. We then used principal component analysis and a generalized linear autoregressive moving average model to examine avalanche-climate relationships. Historically, large magnitude regional avalanche years were characterized by stormy winters with positive snowpack anomalies, with avalanche years over recent decades increasingly influenced by warmer temperatures and a shallow snowpack. The amount of snowpack across the region, represented by the first principal component, is shown to be directly related to avalanche probability. Coincident with warming and regional snowpack reductions, a decline of ~ 14% (~ 2% per decade) in overall large magnitude avalanche probability is apparent through the period 1950–2017. As continued climate warming drives further regional snowpack reductions in the study region our results suggest a decreased probability of regional large magnitude avalanche frequency associated with winters characterized by large snowpacks and a potential increase in large magnitude events driven by warming temperatures and spring precipitation.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-021-89547-z","usgsCitation":"Peitzsch, E.H., Pederson, G.T., Birkeland, K.W., Hendrikx, J., and Fagre, D.B., 2021, Climate drivers of large magnitude snow avalanche years in the U.S. northern Rocky Mountains: Scientific Reports, v. 11, 10032, 13 p., https://doi.org/10.1038/s41598-021-89547-z.","productDescription":"10032, 13 p.","ipdsId":"IP-124589","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":452307,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-89547-z","text":"Publisher Index Page"},{"id":385581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.158203125,\n              47.15984001304432\n            ],\n            [\n              -111.22558593749999,\n              47.15984001304432\n            ],\n            [\n              -111.22558593749999,\n              48.951366470947725\n            ],\n            [\n              -117.158203125,\n              48.951366470947725\n            ],\n            [\n              -117.158203125,\n              47.15984001304432\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2021-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Peitzsch, Erich H. 0000-0001-7624-0455","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":202576,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":815449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":815450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birkeland, Karl W.","contributorId":209943,"corporation":false,"usgs":false,"family":"Birkeland","given":"Karl","email":"","middleInitial":"W.","affiliations":[{"id":38033,"text":"U.S.D.A. Forest Service National Avalanche Center, Bozeman, Montana, USA","active":true,"usgs":false}],"preferred":false,"id":815451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hendrikx, Jordy 0000-0001-6194-3596","orcid":"https://orcid.org/0000-0001-6194-3596","contributorId":140954,"corporation":false,"usgs":false,"family":"Hendrikx","given":"Jordy","email":"","affiliations":[{"id":13628,"text":"Department of Earth Sciences, P.O. Box 173480, Montana State University, Bozeman, MT, USA. 59717.","active":true,"usgs":false}],"preferred":false,"id":815452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":815471,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231470,"text":"70231470 - 2021 - Principles for collaborative risk communication: Reducing landslide losses in Puerto Rico","interactions":[],"lastModifiedDate":"2023-10-13T18:25:05.745749","indexId":"70231470","displayToPublicDate":"2021-05-11T06:54:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2246,"text":"Journal of Emergency Management","active":true,"publicationSubtype":{"id":10}},"title":"Principles for collaborative risk communication: Reducing landslide losses in Puerto Rico","docAbstract":"<p>Landslides are frequent and damaging natural hazards that threaten the people and the natural and built environments of Puerto Rico. In 2017, more than 70,000 landslides were triggered across the island by heavy rainfall from Hurricane María, prompting requests by local professionals for landslide education and outreach materials. This article describes a novel collaborative risk communication framework that was developed to meet those requests and shaped the creation of a Spanish- and English-language Landslide Guide for Residents of Puerto Rico. Collaborative risk communication is defined here as an iterative process guided by a set of principles for the interdisciplinary coproduction of hazards information and communication products by local and external stakeholders. The process that supports this form of risk communication involves mapping out the risk communication stakeholders in the at-risk or disaster-affected location—in this case Puerto Rico—and collaborating over time to address a shared challenge, such as landslide hazards. The approach described in this article involved the formation of a core team of government and university partners that expanded in membership to conduct collaborative work with an informal network of hazards professionals from diverse sectors in Puerto Rico. The following principles guided this process: cultural competence, ethical engagement, listening, inclusive decision making, empathy, convergence research, nested mentoring, adaptability, and reciprocity. This article contributes to the field of risk communication and emergency management by detailing these principles and the associated process in order to motivate collaborative risk communication efforts in different geographic and cultural contexts. While the work described here focuses on addressing landslides, the principles and process are transferable to other natural, technological, and willful human-caused hazards. They may also serve as a roadmap for future partnerships among government agencies and university researchers to inform the cocreation of science education and outreach tools.</p>","language":"English","publisher":"Journal of Emergency Management","usgsCitation":"West, J., Davis, L.A., Lugo Bendezu, R., Alvarez Gandia, Y., Hughes, K.S., Godt, J.W., and Peek, L., 2021, Principles for collaborative risk communication: Reducing landslide losses in Puerto Rico: Journal of Emergency Management, v. 19, no. 8, p. 41-61.","productDescription":"21 p.","startPage":"41","endPage":"61","ipdsId":"IP-126215","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":400483,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.wmpllc.org/ojs/index.php/jem/article/view/3044"},{"id":400498,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto 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Stephen","contributorId":218339,"corporation":false,"usgs":false,"family":"Hughes","given":"K.","email":"","middleInitial":"Stephen","affiliations":[{"id":16585,"text":"University of Puerto Rico - Mayaguez","active":true,"usgs":false}],"preferred":false,"id":842725,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842726,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peek, Lori","contributorId":269659,"corporation":false,"usgs":false,"family":"Peek","given":"Lori","email":"","affiliations":[],"preferred":false,"id":842727,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70227795,"text":"70227795 - 2021 - Gradient self-potential logging in the Rio Grande to identify gaining and losing reaches across the Mesilla Valley","interactions":[],"lastModifiedDate":"2022-01-31T12:42:56.341708","indexId":"70227795","displayToPublicDate":"2021-05-11T06:38:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Gradient self-potential logging in the Rio Grande to identify gaining and losing reaches across the Mesilla Valley","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">The Rio Grande/Río Bravo del Norte (hereinafter referred to as the “Rio Grande”) is the primary source of recharge to the Mesilla Basin/Conejos-Médanos aquifer system in the Mesilla Valley of New Mexico and Texas. The Mesilla Basin aquifer system is the U.S. part of the Mesilla Basin/Conejos-Médanos aquifer system and is the primary source of water supply to several communities along the United States–Mexico border in and near the Mesilla Valley. Identifying the gaining and losing reaches of the Rio Grande in the Mesilla Valley is therefore critical for managing the quality and quantity of surface and groundwater resources available to stakeholders in the Mesilla Valley and downstream. A gradient self-potential (SP) logging survey was completed in the Rio Grande across the Mesilla Valley between 26 June and 2 July 2020, to identify reaches where surface-water gains and losses were occurring by interpreting an estimate of the streaming-potential component of the electrostatic field in the river, measured during bankfull flow. The survey, completed as part of the Transboundary Aquifer Assessment Program, began at Leasburg Dam in New Mexico near the northern terminus of the Mesilla Valley and ended ~72 kilometers (km) downstream at Canutillo, Texas. Electric potential data indicated a net losing condition for ~32 km between the Leasburg Dam and Mesilla Diversion Dam in New Mexico, with one ~200-m long reach showing an isolated saline-groundwater gaining condition. Downstream from the Mesilla Diversion Dam, electric-potential data indicated a neutral-to-mild gaining condition for 12 km that transitioned to a mild-to-moderate gaining condition between 12 and ~22 km downstream from the dam, before transitioning back to a losing condition along the remaining 18 km of the survey reach. The interpreted gaining and losing reaches are substantiated by potentiometric surface mapping completed in hydrostratigraphic units of the Mesilla Basin aquifer system between 2010 and 2011, and corroborated by surface-water temperature and conductivity logging and relative median streamflow gains and losses, quantified from streamflow measurements made annually at 16 seepage-measurement stations along the survey reach between 1988 and 1998 and between 2004 and 2013. The gaining and losing reaches of the Rio Grande in the Mesilla Valley, interpreted from electric potential data, compare well with relative median streamflow gains and losses along the 72-km long survey reach.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"MDPI","doi":"10.3390/w13101331","usgsCitation":"Ikard, S., Teeple, A., and Humberson, D., 2021, Gradient self-potential logging in the Rio Grande to identify gaining and losing reaches across the Mesilla Valley: Water, v. 13, no. 10, 1331, 23 p., https://doi.org/10.3390/w13101331.","productDescription":"1331, 23 p.","ipdsId":"IP-125283","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":452310,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w13101331","text":"Publisher Index Page"},{"id":436373,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GTF1QB","text":"USGS data release","linkHelpText":"Waterborne Gradient Self-potential, Temperature, and Conductivity Logging of the Rio Grande from Leasburg Dam State Park, New Mexico to Canutillo, Texas During Bank-Full Conditions, June-July 2020"},{"id":395125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.86376953125,\n              31.774877618507386\n            ],\n            [\n              -106.336669921875,\n              31.774877618507386\n            ],\n            [\n              -106.336669921875,\n              33.03629817885956\n            ],\n            [\n              -107.86376953125,\n              33.03629817885956\n            ],\n            [\n              -107.86376953125,\n              31.774877618507386\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":201775,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew 0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":193061,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Humberson, Delbert","contributorId":216387,"corporation":false,"usgs":false,"family":"Humberson","given":"Delbert","email":"","affiliations":[{"id":39399,"text":"International Boundary and Water Commission","active":true,"usgs":false}],"preferred":false,"id":832305,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70242059,"text":"70242059 - 2021 - Seasonal activity and diets of bats at uranium mines and adjacent areas near the Grand Canyon","interactions":[],"lastModifiedDate":"2023-04-06T11:40:40.40251","indexId":"70242059","displayToPublicDate":"2021-05-11T06:37:33","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal activity and diets of bats at uranium mines and adjacent areas near the Grand Canyon","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Little information exists on the habitat use and feeding ecology of insectivorous bats in arid ecosystems, especially at and near uranium mines in northern Arizona, within the Grand Canyon watershed. In 2015–2016, we conducted mist-netting, nightly acoustic monitoring (&gt;1 year), and diet analyses of bats, as well as insect sampling, at 2 uranium mines (Pinenut and Arizona 1) with water containment ponds. Because of physical barriers and limited general access to areas within the mine yard, mist-netting was limited to outside of the perimeter fence and away from the containment ponds. Mist-netting also occurred at 2 nearby sites that served as proxies to the mines. Bats captured directly at the mines included one pregnant<span>&nbsp;</span><i>Antrozous pallidus</i><span>&nbsp;</span>and 3 adult male<span>&nbsp;</span><i>Parastrellus hesperus</i>. At the proxy sites, we captured 45 individuals identified as<span>&nbsp;</span><i>A. pallidus</i>,<span>&nbsp;</span><i>Corynorhinus townsendii</i>,<span>&nbsp;</span><i>Eptesicus fuscus</i>,<span>&nbsp;</span><i>Euderma maculatum</i>,<span>&nbsp;</span><i>Lasionycteris noctivagans</i>,<span>&nbsp;</span><i>Myotis californicus</i>,<span>&nbsp;</span><i>Myotis ciliolabrum</i>,<span>&nbsp;</span><i>P. hesperus</i>, and<span>&nbsp;</span><i>Tadarida brasiliensis</i>. The nightly and seasonal presence of bats, as shown through acoustic recordings at each mine, coincided with the seasonal migratory and hibernation behaviors of the bat species. Statistical comparisons of acoustic recordings with precipitation data collected over one year show that seasonal monsoon rains generally had a negative effect on the nightly activity and presence of bats. Diets of<span>&nbsp;</span><i>P. hesperus</i><span>&nbsp;</span>from both mines were comprised mostly of coleopterans but also included smaller volumes of Hymenoptera, Hemiptera, Lepidoptera, Diptera, and Neuroptera. The diet of<span>&nbsp;</span><i>A. pallidus</i><span>&nbsp;</span>was comprised solely of Coleoptera. Diets of bat species from the proxy sites were characteristic of their known feeding ecology, which ranged from the consumption of soft-bodied insects (e.g., moths) by<span>&nbsp;</span><i>C. townsendii</i><span>&nbsp;</span>to the consumption of hard-bodied insects (e.g., beetles) by<span>&nbsp;</span><i>E. fuscus</i>. Ultimately, the increased knowledge of the natural history of bats through multiple methods of data collection allows for a better understanding of complex arid ecosystems. It also provides resources needed for the management of habitat associated with alternative energy, such as uranium mining.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.3398/064.081.0101","usgsCitation":"Valdez, E.W., Hanttula, M.K., and Hinck, J.E., 2021, Seasonal activity and diets of bats at uranium mines and adjacent areas near the Grand Canyon: Western North American Naturalist, v. 81, no. 1, p. 1-18, https://doi.org/10.3398/064.081.0101.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-112602","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":436374,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97Q66M7","text":"USGS data release","linkHelpText":"Precipitation and acoustic monitoring results associated with Arizona 1 and Pinenut uranium mines collected 2015-2016"},{"id":415326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.11886782051855,\n              36.96992768217649\n            ],\n            [\n              -113.11886782051855,\n              35.74064579075406\n            ],\n            [\n              -111.16963306121374,\n              35.74064579075406\n            ],\n            [\n              -111.16963306121374,\n              36.96992768217649\n            ],\n            [\n              -113.11886782051855,\n              36.96992768217649\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"81","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":868726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanttula, Mollie K","contributorId":236941,"corporation":false,"usgs":false,"family":"Hanttula","given":"Mollie","email":"","middleInitial":"K","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":868727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":868728,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70220387,"text":"gip209 - 2021 - How would a volcanic eruption affect your Tribe?","interactions":[],"lastModifiedDate":"2021-05-11T11:44:19.585738","indexId":"gip209","displayToPublicDate":"2021-05-10T12:45:22","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"209","displayTitle":"How Would a Volcanic Eruption Affect Your Tribe?","title":"How would a volcanic eruption affect your Tribe?","docAbstract":"<p>Volcanic eruptions are rare, but when they occur, they can profoundly affect nearby communities. In order to determine which communities are at risk, and in order for those communities to mitigate their risk, communities need to know whether they are in or near volcano hazard zones and have basic information about the hazards within those zones. In addition, individuals need to know whether they live in, work or go to school in, or cross volcano hazard zones as part of their routine so they can plan for what to do in the event of an eruption.</p><p>The purpose of this product is to serve as a starting point for dialogue with Indian Tribes of the Pacific Northwest who may be at risk from future volcanic eruptions. The map shows Tribal land boundaries and land-based volcano hazard zones, allowing Tribes to determine quickly if they are at risk from these hazards. A rose diagram in the map explanation shows typical Pacific Northwest wind directions and, hence, the most likely directions airborne material (tephra) from explosive eruptions will travel (primarily to the northeast, east, and southeast). We also provide basic information about the hazards and simple protective actions to take during unrest and eruptions, guidance for finding information about current volcanic activity and preparedness, and additional resources.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip209","collaboration":"Prepared in collaboration with the U.S. Geological Survey Office of Tribal Relations","usgsCitation":"Gardner, C.A., and Bard, J.A., 2021, How would a volcanic eruption affect your Tribe?: U.S. Geological Survey General Information Product 209, https://doi.org/10.3133/gip209.","productDescription":"1 Sheet: 66.00 x 36.00 inches","ipdsId":"IP-120998","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":385548,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0209/covrthb.jpg"},{"id":385549,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0209/gip209.pdf","size":"17 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.41992187499999,\n              41.902277040963696\n            ],\n            [\n              -118.38867187500001,\n              41.902277040963696\n            ],\n            [\n              -118.38867187500001,\n              48.980216985374994\n            ],\n            [\n              -125.41992187499999,\n              48.980216985374994\n            ],\n            [\n              -125.41992187499999,\n              41.902277040963696\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"https://www.usgs.gov/volcano/connect\" href=\"https://www.usgs.gov/volcano/connect\" target=\"_blank\" rel=\"noopener\">Volcano Hazards Program</a>&nbsp; <br><a data-mce-href=\"https://www.usgs.gov/observatories/cascades-volcano-observatory\" href=\"https://www.usgs.gov/observatories/cascades-volcano-observatory\" target=\"_blank\" rel=\"noopener\">Cascades Volcano Observatory</a>&nbsp; <br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a>&nbsp; <br>1300 SE Cardinal Court&nbsp; <br>Vancouver, Washington, 98683-9589</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-05-10","noUsgsAuthors":false,"publicationDate":"2021-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Gardner, Cynthia A. 0000-0002-6214-6182 cgardner@usgs.gov","orcid":"https://orcid.org/0000-0002-6214-6182","contributorId":1959,"corporation":false,"usgs":true,"family":"Gardner","given":"Cynthia","email":"cgardner@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":815367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bard, Joseph A. 0000-0003-3143-4007 jbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3143-4007","contributorId":5590,"corporation":false,"usgs":true,"family":"Bard","given":"Joseph","email":"jbard@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":815368,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70228935,"text":"70228935 - 2021 - Using fecal DNA and closed-capture models to estimate feral horse population size","interactions":[],"lastModifiedDate":"2022-02-24T17:07:28.198985","indexId":"70228935","displayToPublicDate":"2021-05-10T10:25:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Using fecal DNA and closed-capture models to estimate feral horse population size","docAbstract":"<p><span>Accurate population estimates provide the foundation for managing feral horses (</span><i>Equus caballus ferus</i><span>) across the western United States. Certain feral horse populations are protected by the Wild and Free-Roaming Horses and Burros Act of 1971 and managed by the Bureau of Land Management (BLM) or the United States Forest Service on designated herd management areas (HMAs) or wild horse territories, respectively. Horses are managed to achieve an appropriate management level (AML), which represents the number of horses determined by BLM to contribute to a thriving natural ecological balance and avoid deterioration of the range. To achieve AML for each HMA, BLM resource managers need accurate and precise population estimates. We tested the use of non-invasive fecal samples in a genetic capture-recapture framework to estimate population size in a closed horse population at the Little Book Cliffs HMA, Colorado, USA, with a known size of 153 individuals. We collected 1,957 samples over 3 independent sampling periods in 2014 and amplified them at 8 microsatellite loci. We applied mark-recapture models to determine population size using 954 samples that amplified at all 8 loci. We subsampled and reanalyzed our dataset to simulate different data collection protocols and evaluated effects on accuracy and precision of estimates using N-mixture modeling, full likelihood closed-capture modeling, and capwire single-occasion modeling that used data from all 3 sampling periods. Our model results were accurate and precise for analyses that used data from all 3 occasions; however, capwire single-occasion modeling was not accurate when we analyzed each sampling period separately. For all subsampling analysis scenarios, reducing sample size decreased precision, whether by reducing number of field staff, field days, or geographic areas surveyed on each period. Reducing spatial coverage of the survey area did not result in accurate population estimates and only marginally lowered the number of samples that would need to be collected to maintain accuracy. Because laboratory analysis contributes the greatest expense for this method ($80 U.S./sample), reducing fecal sample size is advantageous. Our results demonstrate that non-invasive sampling combined with good survey design and careful genetic and capture-recapture analyses can provide an alternative method to estimate the number of feral horses in a closed population. This method may be especially appropriate in situations where aerial inventories are not practical or accurate because of low sighting conditions. But the higher costs associated with laboratory sample analyses may reduce the method's feasibility compared to helicopter surveys.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22056","usgsCitation":"Schoenecker, K., King, S.R., Ekernas, L.S., and Oyler-McCance, S.J., 2021, Using fecal DNA and closed-capture models to estimate feral horse population size: Journal of Wildlife Management, v. 85, no. 6, p. 1150-1161, https://doi.org/10.1002/jwmg.22056.","productDescription":"12 p.","startPage":"1150","endPage":"1161","ipdsId":"IP-103976","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":396432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Little Book Cliffs Horse management Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.49136352539062,\n              39.13432124527173\n            ],\n            [\n              -108.34304809570312,\n              39.13432124527173\n            ],\n            [\n              -108.34304809570312,\n              39.27691581029594\n            ],\n            [\n              -108.49136352539062,\n              39.27691581029594\n            ],\n            [\n              -108.49136352539062,\n              39.13432124527173\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"85","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sarah R. B. 0000-0002-9316-7488","orcid":"https://orcid.org/0000-0002-9316-7488","contributorId":280063,"corporation":false,"usgs":false,"family":"King","given":"Sarah","email":"","middleInitial":"R. B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":835962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ekernas, L. Stefan 0000-0002-9205-1985","orcid":"https://orcid.org/0000-0002-9205-1985","contributorId":223034,"corporation":false,"usgs":true,"family":"Ekernas","given":"L.","email":"","middleInitial":"Stefan","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835964,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220306,"text":"70220306 - 2021 - Surface Rupture Map of the 2020 M 6.5 Monte Cristo Range earthquake, Esmeralda and Mineral counties, Nevada","interactions":[],"lastModifiedDate":"2021-06-03T11:53:49.707121","indexId":"70220306","displayToPublicDate":"2021-05-10T10:02:04","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5655,"text":"Nevada Bureau of Mines and Geology Map","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"190","title":"Surface Rupture Map of the 2020 M 6.5 Monte Cristo Range earthquake, Esmeralda and Mineral counties, Nevada","docAbstract":"<p><span>The 15 May 2020, M6.5 Monte Cristo Range earthquake was the largest earthquake in Nevada in over 66 years and occurred in a sparsely populated area of western Nevada about 74 km southeast of the town of Hawthorne. The earthquake produced surface rupture distributed across a 28-km-long zone along the eastward projection of the Candelaria fault in the Mina deflection of the central Walker Lane. Post-event field surveys mapped surface ruptures and measured displacements, which reached up to ~20 cm of oblique slip. Additional detailed mapping was completed using centimeter-resolution orthomosaics generated from Uncrewed Aerial Vehicle surveys. The rupture observations and displacement data are compiled into this 1:14,000-scale map, data tables, and accompanying digital dataset. The rupture consists of two distinct deformational domains roughly separated by U.S. Highway 95: ENE-trending ruptures with normal and left-oblique displacements in the western domain, and N- to NNE-trending ruptures with normal and right-oblique displacement in the eastern domain. The complex pattern of surface rupture is consistent with the projections of mapped bedrock and Quaternary faults in the area and illustrates the kinematics of slip partitioning at the junction of variably oriented structures in the shallow subsurface.</span></p>","language":"English","publisher":"University of Nevada, Reno","usgsCitation":"Dee, S., Koehler, R.D., Elliott, A.J., Hatem, A.E., Pickering, A., Pierce, I., Seitz, G.G., Collett, C.M., Dawson, T.E., De Masi, C., dePolo, C.M., Hartsorn, E., Madugo, C., Trexler, C.C., Verdugo, D.M., Wesnousky, S.G., and Zachariasen, J., 2021, Surface Rupture Map of the 2020 M 6.5 Monte Cristo Range earthquake, Esmeralda and Mineral counties, Nevada: Nevada Bureau of Mines and Geology Map 190, Report: 26 p.; 2 Sheets: 42.00 x 42.00 inches; GIS Files.","productDescription":"Report: 26 p.; 2 Sheets: 42.00 x 42.00 inches; GIS Files","ipdsId":"IP-127048","costCenters":[{"id":237,"text":"Earthquake Science 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,{"id":70220545,"text":"70220545 - 2021 - Large-scale wildfire reduces population growth in a peripheral population of sage-grouse","interactions":[],"lastModifiedDate":"2021-05-20T11:57:01.486743","indexId":"70220545","displayToPublicDate":"2021-05-10T07:55:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale wildfire reduces population growth in a peripheral population of sage-grouse","docAbstract":"<p>Drastic increases in wildfire size and frequency threaten western North American sagebrush (<i>Artemisia</i><span>&nbsp;</span>L. spp.) ecosystems. At relatively large spatial scales, wildfire facilitates type conversion of sagebrush-dominated plant communities to monocultures of invasive annual grasses (<i>e.g., Bromus tectorum</i><span>&nbsp;</span>L.). Annual grasses provide fine fuels that promote fire spread, contributing to a positive grass–fire feedback cycle that affects most sagebrush ecosystems, with expected habitat loss for resident wildlife populations. Greater sage-grouse (<i>Centrocercus urophasianus</i><span>&nbsp;</span>Bonaparte, 1827) are sagebrush obligate species that are indicators of sagebrush ecosystem function because they rely on different components of sagebrush ecosystems to meet seasonal life history needs. Because wildfire cannot be predicted, chronic impacts of wildfire on sage-grouse populations have been largely limited to correlative studies. Thus, evidence from well-designed experiments is needed to understand the specific mechanisms by which wildfire is detrimental to sage-grouse population dynamics.</p>","language":"English","publisher":"Springer","doi":"10.1186/s42408-021-00099-z","usgsCitation":"Dudley, I., Coates, P.S., Prochazka, B.G., O’Neil, S.T., Gardner, S.C., and Delehanty, D.J., 2021, Large-scale wildfire reduces population growth in a peripheral population of sage-grouse: Fire Ecology, v. 17, 15, 13 p., https://doi.org/10.1186/s42408-021-00099-z.","productDescription":"15, 13 p.","ipdsId":"IP-122119","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":452316,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-021-00099-z","text":"Publisher Index Page"},{"id":436375,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J3KRIZ","text":"USGS data 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bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":815961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":815962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Scott C.","contributorId":192081,"corporation":false,"usgs":false,"family":"Gardner","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":815963,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delehanty, David J.","contributorId":195584,"corporation":false,"usgs":false,"family":"Delehanty","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":815964,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227197,"text":"70227197 - 2021 - Zircon geochronology and geochemistry of Quaternary rhyolite domes of the Coso volcanic field, Inyo County, California","interactions":[],"lastModifiedDate":"2022-01-04T14:03:38.97849","indexId":"70227197","displayToPublicDate":"2021-05-10T07:54:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Zircon geochronology and geochemistry of Quaternary rhyolite domes of the Coso volcanic field, Inyo County, California","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0045\"><span>The Quaternary Coso volcanic field (CVF) is a compositionally bimodal volcanic field located within a releasing bend along the eastern range-front Sierra Nevada fault zone in California's southern Owens Valley. The erupted products of CVF silicic&nbsp;magmatism&nbsp;since ~1 Ma comprise 38 high-silica&nbsp;</span>rhyolite<span>&nbsp;domes, with the volumetric majority (~99%) of rhyolite emplaced within the past ~300 ka. The CVF hosts an economically important geothermal field driven by heat associated with a shallow (~5 km)&nbsp;igneous intrusion. The CVF is potentially an immature analog to the nearby Long Valley system, which culminated in generation and eruption of the voluminous and widespread Bishop&nbsp;Tuff. As such, the CVF represents a considerable volcanic hazard, making a detailed understanding of the eruptive history and pre-eruptive conditions of the system critically important. We present uranium-series isochron dates from&nbsp;zircon&nbsp;±&nbsp;allanite&nbsp;crystal surfaces and zircon trace element geochemical data on the youngest 17 rhyolite domes at Coso, which represent ~60% (by volume) of the silicic&nbsp;magma&nbsp;erupted by the system. These data suggest: (1) a shorter&nbsp;emplacement&nbsp;duration than previously recognized for these domes, with a duration of 20 ± 5 ka; (2) 4 shorter-duration eruption pulses within this interval, all of which occur during the&nbsp;marine isotope stage&nbsp;(MIS) 5 interglacial period; (3) an uptick in the volume of CVF magma erupted between ~200 ka and ~ 78 ka relative to that emplaced over the lifetime of the system; (4) near-coeval eruption of geochemically distinct magma in close geographic proximity, either sourced from different portions of the same magma system at depth or from discrete, uncommunicating bodies; (5) ambiguity with respect to whether or not CVF magmatism is time-predictable, as previously suggested, or erupted as a series of punctuated episodes; (6) no rhyolite&nbsp;volcanism&nbsp;in the past ~78 kyr.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2021.107276","usgsCitation":"Burgess, S.D., Coble, M., and Vazquez, J.A., 2021, Zircon geochronology and geochemistry of Quaternary rhyolite domes of the Coso volcanic field, Inyo County, California: Journal of Volcanology and Geothermal Research, v. 417, 107276, 14 p., https://doi.org/10.1016/j.jvolgeores.2021.107276.","productDescription":"107276, 14 p.","ipdsId":"IP-123150","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":393844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Inyo 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Seth D. 0000-0002-4238-3797 sburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-4238-3797","contributorId":200371,"corporation":false,"usgs":true,"family":"Burgess","given":"Seth","email":"sburgess@usgs.gov","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":830053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coble, Matthew 0000-0002-7536-0559","orcid":"https://orcid.org/0000-0002-7536-0559","contributorId":270794,"corporation":false,"usgs":false,"family":"Coble","given":"Matthew","email":"","affiliations":[{"id":56217,"text":"Victoria University of Wellington","active":true,"usgs":false}],"preferred":false,"id":830054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":830055,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70220673,"text":"70220673 - 2021 - Coral reef restorations can be optimized to reduce coastal flooding hazards","interactions":[],"lastModifiedDate":"2021-05-25T12:51:24.211534","indexId":"70220673","displayToPublicDate":"2021-05-10T07:47:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Coral reef restorations can be optimized to reduce coastal flooding hazards","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb0\">Coral reefs are effective natural coastal flood barriers that protect adjacent communities. Coral degradation compromises the coastal protection value of reefs while also reducing their other ecosystem services, making them a target for restoration. Here we provide a physics-based evaluation of how coral restoration can reduce coastal flooding for various types of reefs. Wave-driven flooding reduction is greatest for broader, shallower restorations on the upper fore reef and between the middle of the reef flat and the shoreline than for deeper locations on the fore reef or at the reef crest. These results indicate that to increase the coastal hazard risk reduction potential of reef restoration, more physically robust species of coral need to be outplanted to shallower, more energetic locations than more fragile, faster-growing species primarily being grown in coral nurseries. The optimization and quantification of coral reef restoration efforts to reduce coastal flooding may open hazard risk reduction funding for conservation purposes.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2021.653945","usgsCitation":"Roelvink, F., Storlazzi, C.D., van Dongeren, A., and Pearson, S., 2021, Coral reef restorations can be optimized to reduce coastal flooding hazards: Frontiers in Marine Science, v. 8, 653945, 10 p., https://doi.org/10.3389/fmars.2021.653945.","productDescription":"653945, 10 p.","ipdsId":"IP-122176","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":452321,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.653945","text":"Publisher Index Page"},{"id":436376,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P991RSFO","text":"USGS data release","linkHelpText":"Model parameter input files to compare locations of coral reef restoration on different reef profiles to reduce coastal flooding"},{"id":385916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2021-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Roelvink, Floortje","contributorId":258290,"corporation":false,"usgs":false,"family":"Roelvink","given":"Floortje","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":816378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Dongeren, Ap","contributorId":149002,"corporation":false,"usgs":false,"family":"van Dongeren","given":"Ap","email":"","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":816380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, Stuart 0000-0002-3986-4469","orcid":"https://orcid.org/0000-0002-3986-4469","contributorId":245646,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","email":"","affiliations":[{"id":49245,"text":"Delft University of Technology; Deltares","active":true,"usgs":false}],"preferred":false,"id":816381,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220585,"text":"70220585 - 2021 - Efficacy of fenbendazole and ivermectin against Trichuris spp. in African green monkeys (Chlorocebus sabaeus) in Barbados West Indies","interactions":[],"lastModifiedDate":"2021-08-17T15:23:22.803496","indexId":"70220585","displayToPublicDate":"2021-05-10T07:35:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8604,"text":"Journal of the American Association for Laboratory Animal Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Efficacy of fenbendazole and ivermectin against Trichuris spp. in African green monkeys (<i>Chlorocebus sabaeus</i>) in Barbados West Indies","title":"Efficacy of fenbendazole and ivermectin against Trichuris spp. in African green monkeys (Chlorocebus sabaeus) in Barbados West Indies","docAbstract":"<div class=\"tab-content\"><div id=\"Abst\" class=\"tab-pane active\"><i>Trichuris</i><span>&nbsp;spp. are common helminths in NHP, and benzimidazoles and avermectins have both been used to treat these intestinal parasites. The current study compared the efficacy of fenbendazole and ivermectin against natural infection of&nbsp;</span><i>Trichuris</i><span>&nbsp;spp. in African green monkeys (</span><i>Chlorocebus sabaeus</i><span>). Anthelmintic-naive animals (</span><i>n</i><span>&nbsp;= 65) were randomly assigned to 4 groups: an untreated control group, and 3 groups treated with either fenbendazole, ivermectin, or both compounds. Fecal samples were collected before treatment and on days 7, 14, 28, and 60 after treatment, and fecal egg counts (FEC) were determined by using fecal flotation. The mean percentages of FEC reduction at day 60 were 100%, 86%, and 100% for treatment with fenbendazole, ivermectin, and both compounds, respectively. Analyzing the time series of FEC by using a Bayesian generalized linear model showed no significant difference in the proportional reduction in FEC among the 3 treatment groups, although all FEC from treated groups were significantly lower than the FEC of the control group. In contrast, the probability of shedding was highest in the ivermectin group and the lowest in the animals treated with both compounds. The probability of shedding differed significantly between the fenbendazole and ivermectin groups and between the ivermectin and combined-treatment groups. In conclusion, both fenbendazole and ivermectin are effective anthelmintics in treating&nbsp;</span><i>Trichuris</i><span>&nbsp;spp. infection in African green monkeys. All treatment groups showed significant reductions in FEC when compared with baseline counts and control animals; however, fenbendazole may be more effective than ivermectin when used solely or in combination with other anthelmintic treatments.</span></div></div>","language":"English","publisher":"American Association for Laboratory Animal Science","doi":"10.30802/AALAS-JAALAS-20-000103","usgsCitation":"Rhynd, K.J., Walsh, D.P., and Arthur-Banfield, L.C., 2021, Efficacy of fenbendazole and ivermectin against Trichuris spp. in African green monkeys (Chlorocebus sabaeus) in Barbados West Indies: Journal of the American Association for Laboratory Animal Science, v. 60, no. 4, p. 475-483, https://doi.org/10.30802/AALAS-JAALAS-20-000103.","productDescription":"9 p.","startPage":"475","endPage":"483","ipdsId":"IP-124016","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":452324,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9390614","text":"External Repository"},{"id":386093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Barbados","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -59.679107666015625,\n              13.016600074665284\n            ],\n            [\n              -59.407196044921875,\n              13.016600074665284\n            ],\n            [\n              -59.407196044921875,\n              13.354882075144726\n            ],\n            [\n              -59.679107666015625,\n              13.354882075144726\n            ],\n            [\n              -59.679107666015625,\n              13.016600074665284\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"60","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rhynd, Kamara J. R.","contributorId":258246,"corporation":false,"usgs":false,"family":"Rhynd","given":"Kamara","email":"","middleInitial":"J. R.","affiliations":[{"id":52260,"text":"Barbados Primate Research Center","active":true,"usgs":false}],"preferred":false,"id":816092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":816093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arthur-Banfield, Linnell C. M.","contributorId":258247,"corporation":false,"usgs":false,"family":"Arthur-Banfield","given":"Linnell","email":"","middleInitial":"C. M.","affiliations":[{"id":52260,"text":"Barbados Primate Research Center","active":true,"usgs":false}],"preferred":false,"id":816094,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222379,"text":"70222379 - 2021 - Endangered Australian top predator is frequently exposed to anticoagulant rodenticides","interactions":[],"lastModifiedDate":"2021-07-26T12:30:30.491279","indexId":"70222379","displayToPublicDate":"2021-05-10T07:27:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Endangered Australian top predator is frequently exposed to anticoagulant rodenticides","docAbstract":"<p><span>Anticoagulant&nbsp;rodenticides&nbsp;(ARs) used to control mammalian pest populations cause secondary exposure of predatory species throughout much of the world. It is important to understand the drivers of non-target AR exposure patterns as context for assessing long-term effects and developing effective mitigation for these toxicants. In Australia, however, little is known about exposure and effects of ARs on predators. We detected AR residues in 74% of 50 opportunistically collected carcasses of the Tasmanian wedge-tailed eagle (</span><i>Aquila audax fleayi</i><span>), an endangered apex predator. In 22% of birds tested, or 31% of those exposed, liver concentrations of second generation ARs (SGARs) were &gt;0.1 mg/kg ww. Eagles were exposed to flocoumafen, a toxicant only available from agricultural suppliers, at an exceptionally high rate (40% of birds tested). Liver SGAR concentrations were positively associated with the proportion of agricultural habitat and human population density in the area around where each eagle died. The high exposure rate in a species not known to regularly prey upon synanthropic rodents supports the hypothesis that apex predators are vulnerable to SGARs. Our results indicate that AR exposure constitutes a previously unrecognized threat to Tasmanian wedge-tailed eagles and highlight the importance of efforts to address non-target AR exposure in Australia.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.147673","usgsCitation":"Pay, J.M., Katzner, T., Hawkins, C.E., Barmuta, L.A., Brown, W.E., Koch, A.J., Mooney, N.J., and Cameron, E.Z., 2021, Endangered Australian top predator is frequently exposed to anticoagulant rodenticides: Science of the Total Environment, v. 788, 147673, 9 p., https://doi.org/10.1016/j.scitotenv.2021.147673.","productDescription":"147673, 9 p.","ipdsId":"IP-126326","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":452326,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":387408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","state":"Tasmania","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              143.26171875,\n              -44.087585028245165\n            ],\n            [\n              149.23828125,\n              -44.087585028245165\n            ],\n            [\n              149.23828125,\n              -40.44694705960048\n            ],\n            [\n              143.26171875,\n              -40.44694705960048\n            ],\n            [\n              143.26171875,\n              -44.087585028245165\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"788","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pay, James M.","contributorId":245078,"corporation":false,"usgs":false,"family":"Pay","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":819878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":819879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawkins, Clare E.","contributorId":245079,"corporation":false,"usgs":false,"family":"Hawkins","given":"Clare","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":819880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barmuta, Leon A.","contributorId":261351,"corporation":false,"usgs":false,"family":"Barmuta","given":"Leon","email":"","middleInitial":"A.","affiliations":[{"id":52830,"text":"School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia","active":true,"usgs":false}],"preferred":false,"id":819881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, William E. 0000-0003-1595-9655","orcid":"https://orcid.org/0000-0003-1595-9655","contributorId":245082,"corporation":false,"usgs":false,"family":"Brown","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":819882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koch, Amelia J.","contributorId":245080,"corporation":false,"usgs":false,"family":"Koch","given":"Amelia","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":819883,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mooney, Nick J.","contributorId":245083,"corporation":false,"usgs":false,"family":"Mooney","given":"Nick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":819884,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cameron, Elissa Z.","contributorId":245084,"corporation":false,"usgs":false,"family":"Cameron","given":"Elissa","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":819885,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70220421,"text":"70220421 - 2021 - Virus shedding kinetics and unconventional virulence tradeoffs","interactions":[],"lastModifiedDate":"2021-05-13T12:02:23.891402","indexId":"70220421","displayToPublicDate":"2021-05-10T07:01:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2981,"text":"PLoS Pathogens","active":true,"publicationSubtype":{"id":10}},"title":"Virus shedding kinetics and unconventional virulence tradeoffs","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>Tradeoff theory, which postulates that virulence provides both transmission costs and benefits for pathogens, has become widely adopted by the scientific community. Although theoretical literature exploring virulence-tradeoffs is vast, empirical studies validating various assumptions still remain sparse. In particular, truncation of transmission duration as a cost of virulence has been difficult to quantify with robust controlled<span>&nbsp;</span><i>in vivo</i><span>&nbsp;</span>studies. We sought to fill this knowledge gap by investigating how transmission rate and duration were associated with virulence for infectious hematopoietic necrosis virus (IHNV) in rainbow trout (<i>Oncorhynchus mykiss</i>). Using host mortality to quantify virulence and viral shedding to quantify transmission, we found that IHNV did not conform to classical tradeoff theory. More virulent genotypes of the virus were found to have longer transmission durations due to lower recovery rates of infected hosts, but the relationship was not saturating as assumed by tradeoff theory. Furthermore, the impact of host mortality on limiting transmission duration was minimal and greatly outweighed by recovery. Transmission rate differences between high and low virulence genotypes were also small and inconsistent. Ultimately, more virulent genotypes were found to have the overall fitness advantage, and there was no apparent constraint on the evolution of increased virulence for IHNV. However, using a mathematical model parameterized with experimental data, it was found that host culling resurrected the virulence tradeoff and provided low virulence genotypes with the advantage. Human-induced or natural culling, as well as host population fragmentation, may be some of the mechanisms by which virulence diversity is maintained in nature. This work highlights the importance of considering non-classical virulence tradeoffs.</p></div></div>","language":"English","publisher":"PLoS","doi":"10.1371/journal.ppat.1009528","usgsCitation":"Wargo, A.R., Kurath, G., Scott, R.J., and Kerr, B., 2021, Virus shedding kinetics and unconventional virulence tradeoffs: PLoS Pathogens, v. 17, no. 5, e1009528, 24 p., https://doi.org/10.1371/journal.ppat.1009528.","productDescription":"e1009528, 24 p.","ipdsId":"IP-126874","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":452328,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.ppat.1009528","text":"Publisher Index Page"},{"id":385599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Wargo, Andrew R.","contributorId":201137,"corporation":false,"usgs":false,"family":"Wargo","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":815508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurath, Gael 0000-0003-3294-560X","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":220175,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":815509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Robert J.","contributorId":258004,"corporation":false,"usgs":false,"family":"Scott","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":52210,"text":"Department of Biology, University of Washington, Seattle, Washington","active":true,"usgs":false}],"preferred":false,"id":815510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kerr, Benjamin","contributorId":194626,"corporation":false,"usgs":false,"family":"Kerr","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":815511,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220354,"text":"sir20215012 - 2021 - Periphyton biomass and community compositions as indicators of water quality in the Lower Grand River hydrologic unit, Missouri and Iowa, 2011–18","interactions":[],"lastModifiedDate":"2021-05-10T13:17:30.468478","indexId":"sir20215012","displayToPublicDate":"2021-05-10T06:48:41","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":"2021-5012","displayTitle":"Periphyton Biomass and Community Compositions as Indicators of Water Quality in the Lower Grand River Hydrologic Unit, Missouri and Iowa, 2011–18","title":"Periphyton biomass and community compositions as indicators of water quality in the Lower Grand River hydrologic unit, Missouri and Iowa, 2011–18","docAbstract":"<p>Biological communities, including periphyton, are continuously affected by chemical, physical, and other biological factors, and the health of these communities can reflect the overall health of the aquatic system. A diverse community is more robust, and communities with lower richness and evenness often indicate a degraded community dominated by few taxa tolerant to the degraded conditions, which makes the community more susceptible to ecological changes. Water-quality nutrient samples were collected at sites in the Lower Grand River during 2010 through 2018 and periphyton sample collections began in 2011 to describe the periphyton community and overall ecological health. Nutrient sample concentrations were generally elevated at these sites, which can lead to eutrophication, excessive plant and algae growth, drinking-water taste and odor problems, low dissolved-oxygen concentrations, and harmful algal blooms. Concentrations of total nitrogen were greater than acceptable as described by the U.S. Environmental Protection Agency, and total phosphorus concentrations were greater than reference concentrations. Periphyton communities were dominated by taxa that are tolerant to or indicative of elevated nutrient concentrations; and nuisance algae, or harmful algal bloom producers, were identified at all sites, except one. The presence of these producers indicates that harmful algal blooms may have high potential during optimal conditions at these sites. Chlorophyll concentrations that exceed 100 milligrams per square meter are considered nuisance and were determined in 11 percent of the samples and at every site during September 2012. Samples were collected during low-flow conditions when nutrient concentrations are generally lower than during high-flow and runoff conditions. Elevated nutrient concentrations during low-flow conditions indicate nutrient concentrations are likely elevated throughout most of the year. Agriculture is the primary land use within the Lower Grand River and is likely a primary source of nutrients and sediments. Conservation practices intended to reduce nutrient loss from agriculture fields have increased because of the Mississippi River Basin Healthy Watersheds Initiative and will potentially increase the ecological, chemical, and physical health of these waterways.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215012","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Krempa, H.M., 2021, Periphyton biomass and community compositions as indicators of water quality in the Lower Grand River hydrologic unit, Missouri and Iowa, 2011–18: U.S. Geological Survey Scientific Investigations Report 2021–5012, 51 p., https://doi.org/10.3133/sir20215012.","productDescription":"Report: vi, 51 p.; Data Release; Dataset","numberOfPages":"62","onlineOnly":"Y","ipdsId":"IP-117668","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":385478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5012/coverthb.jpg"},{"id":385479,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5012/sir20215012.pdf","text":"Report","size":"2.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5012"},{"id":385480,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BYF1EN","text":"USGS data release","description":"USGs Data Release","linkHelpText":"Periphyton community data within the Lower Grand River hydrologic unit code 10280103, Missouri and Iowa, 2011–2018"},{"id":385481,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"— USGS water data for the Nation"}],"country":"United States","state":"Iowa, Missouri","otherGeospatial":"Lower Grand River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.4716796875,\n              40.97989806962013\n            ],\n            [\n              -94.10888671875,\n              41.36031866306708\n            ],\n            [\n              -94.72412109375,\n              40.83043687764923\n            ],\n            [\n              -94.833984375,\n              40.027614437486655\n            ],\n            [\n              -94.41650390625,\n              39.232253141714885\n            ],\n            [\n              -93.6474609375,\n              38.94232097947902\n            ],\n            [\n              -92.83447265624999,\n              39.16414104768742\n            ],\n            [\n              -92.8125,\n              39.757879992021756\n            ],\n            [\n              -92.94433593749999,\n              40.74725696280421\n            ],\n            [\n              -93.4716796875,\n              40.97989806962013\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a> <br>U.S. Geological Survey<br>1400 Independence Road <br>Rolla, MO 65401</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Data Collection and Analysis</li><li>Water-Quality Sample Concentrations</li><li>Periphyton Biomass and Community Structure</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-05-10","noUsgsAuthors":false,"publicationDate":"2021-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Krempa, Heather M. 0000-0002-1556-6934 hkrempa@usgs.gov","orcid":"https://orcid.org/0000-0002-1556-6934","contributorId":148999,"corporation":false,"usgs":true,"family":"Krempa","given":"Heather","email":"hkrempa@usgs.gov","middleInitial":"M.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":false,"id":815253,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70221273,"text":"70221273 - 2021 - A customized framework for regional classification of conifers using automated feature extraction","interactions":[],"lastModifiedDate":"2021-06-10T11:52:18.909088","indexId":"70221273","displayToPublicDate":"2021-05-10T06:38:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7479,"text":"MethodsX","active":true,"publicationSubtype":{"id":10}},"title":"A customized framework for regional classification of conifers using automated feature extraction","docAbstract":"<p><span>Pinyon and juniper expansion into sagebrush ecosystems is one of the major challenges facing land managers in the Great Basin. Effective pinyon and juniper treatment requires maps that accurately and precisely depict tree location and degree of woodland development so managers can target restoration efforts for early stages of pinyon and juniper expansion. However, available remotely sensed layers that cover a regional spatial extent lack the spatial resolution or accuracy to meet this need. Accuracy can be improved using object-based image analysis methods such as automated feature extraction, which has proven successful in accurately classifying land cover at the site-level but to date has yet to be applied to regional extents due to time and computational limitations. Using Feature Analyst™, we implement our framework with 1-m</span><sup>2</sup><span>&nbsp;reference imagery provided by National Agricultural Imagery Program to classify conifers across Nevada and northeastern California. Our resulting binary conifer map has an overall accuracy of 86%. We discuss the advantages to accuracy and precision our framework provides compared to other classification methods</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.mex.2021.101379","usgsCitation":"Roth, C.L., Coates, P.S., Gustafson, K.B., Chenaille, M.P., Ricca, M.A., Sanchez-Chopitea, E., and Casazza, M.L., 2021, A customized framework for regional classification of conifers using automated feature extraction: MethodsX, v. 8, 101379, 16 p., https://doi.org/10.1016/j.mex.2021.101379.","productDescription":"101379, 16 p.","ipdsId":"IP-098781","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":452330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.mex.2021.101379","text":"Publisher Index Page"},{"id":386335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Oregon, California, Nevada, Utah","otherGeospatial":"the  Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.3671875,\n              41.44272637767212\n            ],\n            [\n              -118.21289062499999,\n              43.99281450048989\n            ],\n            [\n              -120.62988281249999,\n              44.5278427984555\n            ],\n            [\n              -122.34374999999999,\n              41.934976500546604\n            ],\n            [\n              -120.62988281249999,\n              38.51378825951165\n            ],\n            [\n              -116.5869140625,\n              35.42486791930558\n            ],\n            [\n              -115.31249999999999,\n              37.09023980307208\n            ],\n            [\n              -114.0380859375,\n              36.4566360115962\n            ],\n            [\n              -114.08203125,\n              38.06539235133249\n            ],\n            [\n              -111.22558593749999,\n              38.09998264736481\n            ],\n            [\n              -111.09374999999999,\n              42.09822241118974\n            ],\n            [\n              -116.3671875,\n              41.44272637767212\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roth, Cali L. 0000-0001-9077-2765 croth@usgs.gov","orcid":"https://orcid.org/0000-0001-9077-2765","contributorId":174422,"corporation":false,"usgs":true,"family":"Roth","given":"Cali","email":"croth@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gustafson, K. Benjamin 0000-0003-3530-0372 kgustafson@usgs.gov","orcid":"https://orcid.org/0000-0003-3530-0372","contributorId":166818,"corporation":false,"usgs":true,"family":"Gustafson","given":"K.","email":"kgustafson@usgs.gov","middleInitial":"Benjamin","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chenaille, Michael P. 0000-0003-3387-7899 mchenaille@usgs.gov","orcid":"https://orcid.org/0000-0003-3387-7899","contributorId":194661,"corporation":false,"usgs":true,"family":"Chenaille","given":"Michael","email":"mchenaille@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817211,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817212,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanchez-Chopitea, Erika 0000-0003-2942-8417 esanchez-chopitea@usgs.gov","orcid":"https://orcid.org/0000-0003-2942-8417","contributorId":199468,"corporation":false,"usgs":true,"family":"Sanchez-Chopitea","given":"Erika","email":"esanchez-chopitea@usgs.gov","affiliations":[],"preferred":true,"id":817213,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817214,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70227122,"text":"70227122 - 2021 - White-nose syndrome-related changes to Mid-Atlantic bat communities across an urban-to-rural gradient","interactions":[],"lastModifiedDate":"2022-01-03T15:34:37.44233","indexId":"70227122","displayToPublicDate":"2021-05-09T08:14:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9972,"text":"BMC Zoology","active":true,"publicationSubtype":{"id":10}},"title":"White-nose syndrome-related changes to Mid-Atlantic bat communities across an urban-to-rural gradient","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>White-nose Syndrome (WNS) has reduced the abundance of many bat species within the United States’ Mid-Atlantic region. To determine changes within the National Park Service National Capital Region (NCR) bat communities, we surveyed the area with mist netting and active acoustic sampling (2016–2018) and compared findings to pre-WNS (2003–2004) data.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>The results indicated the continued presence of the threatened<span>&nbsp;</span><i>Myotis septentrionalis</i><span>&nbsp;</span>(Northern Long-eared bat) and species of conservation concern, including<span>&nbsp;</span><i>Perimyotis subflavus</i><span>&nbsp;</span>(Tri-colored bat),<span>&nbsp;</span><i>Myotis leibii</i><span>&nbsp;</span>(Eastern Small-footed bat) and<span>&nbsp;</span><i>Myotis lucifugus</i><span>&nbsp;</span>(Little Brown bat). However, we documented a significant reduction in the abundance and distribution of<span>&nbsp;</span><i>M. lucifugus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>P. subflavus</i>, a decrease in the distribution of<span>&nbsp;</span><i>M. septentrionalis</i>, and an increase in the abundance of<span>&nbsp;</span><i>Eptesicus fuscus</i><span>&nbsp;</span>(Big Brown bat).</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Documented post-WNS<span>&nbsp;</span><i>M. septentrionalis</i><span>&nbsp;</span>recruitment suggests that portions of the NCR may be important bat conservation areas. Decreases in distribution and abundance of<span>&nbsp;</span><i>P. subflavus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>M. lucifugus</i><span>&nbsp;</span>indicate probable extirpation from many previously occupied portions of the region.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40850-021-00079-5","usgsCitation":"Deeley, S.M., Johnson, J., Ford, W., and Gates, J.E., 2021, White-nose syndrome-related changes to Mid-Atlantic bat communities across an urban-to-rural gradient: BMC Zoology, v. 6, p. 1-11, https://doi.org/10.1186/s40850-021-00079-5.","productDescription":"12, 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-112528","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":452334,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40850-021-00079-5","text":"Publisher Index Page"},{"id":393647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia, West Virginia","otherGeospatial":"District of Columbia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.244384765625,\n              37.900865092570065\n            ],\n            [\n              -75.904541015625,\n              37.900865092570065\n            ],\n            [\n              -75.904541015625,\n              39.64799732373418\n            ],\n            [\n              -79.244384765625,\n              39.64799732373418\n            ],\n            [\n              -79.244384765625,\n              37.900865092570065\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2021-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Deeley, Sabrina M.","contributorId":270674,"corporation":false,"usgs":false,"family":"Deeley","given":"Sabrina","email":"","middleInitial":"M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":829727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Joshua B.","contributorId":270675,"corporation":false,"usgs":false,"family":"Johnson","given":"Joshua B.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":829728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":829726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gates, J. Edward","contributorId":270676,"corporation":false,"usgs":false,"family":"Gates","given":"J.","email":"","middleInitial":"Edward","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":829729,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250184,"text":"70250184 - 2021 - The 4th paradigm in multiscale data representation: Modernizing the National Geospatial Data Infrastructure","interactions":[],"lastModifiedDate":"2023-11-28T18:00:43.540846","indexId":"70250184","displayToPublicDate":"2021-05-08T11:45:15","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The 4th paradigm in multiscale data representation: Modernizing the National Geospatial Data Infrastructure","docAbstract":"<p><span>The need of citizens in any nation to access geospatial data in readily usable form is critical to societal well-being, and in the United States (US), demands for information by scientists, students, professionals and citizens continue to grow. Areas such as public health, urbanization, resource management, economic development and environmental management require a variety of data collected from many sources to identify problems, monitor trends and propose solutions. Such information needs and demands have driven the coordination of federal and regional government agencies with respective private sector participation to develop national geospatial data infrastructures in many countries.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of big geospatial data","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-55462-0_23","usgsCitation":"Buttenfield, B.P., Stanislawski, L., Kronenfeld, B.J., and Shavers, E.J., 2021, The 4th paradigm in multiscale data representation: Modernizing the National Geospatial Data Infrastructure, chap. <i>of</i> Handbook of big geospatial data, p. 589-618, https://doi.org/10.1007/978-3-030-55462-0_23.","productDescription":"30 p.","startPage":"589","endPage":"618","ipdsId":"IP-125863","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":423017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-05-08","publicationStatus":"PW","contributors":{"editors":[{"text":"Werner, Martin","contributorId":331851,"corporation":false,"usgs":false,"family":"Werner","given":"Martin","email":"","affiliations":[],"preferred":false,"id":888929,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Chiang, Yao-Yi","contributorId":288084,"corporation":false,"usgs":false,"family":"Chiang","given":"Yao-Yi","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":888930,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Buttenfield, Barbara P. 0000-0001-5961-5809","orcid":"https://orcid.org/0000-0001-5961-5809","contributorId":206887,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara","email":"","middleInitial":"P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":888724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanislawski, Larry 0000-0002-9437-0576","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":217849,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":888725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kronenfeld, Barry J. 0000-0002-9518-2462","orcid":"https://orcid.org/0000-0002-9518-2462","contributorId":207104,"corporation":false,"usgs":false,"family":"Kronenfeld","given":"Barry","email":"","middleInitial":"J.","affiliations":[{"id":5043,"text":"Eastern Illinois University","active":true,"usgs":false}],"preferred":false,"id":888726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":888727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70222511,"text":"70222511 - 2021 - Bridging the research-implementation gap in avian conservation with translational ecology","interactions":[],"lastModifiedDate":"2021-08-03T12:06:42.241668","indexId":"70222511","displayToPublicDate":"2021-05-08T09:15:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Bridging the research-implementation gap in avian conservation with translational ecology","docAbstract":"<p><span>The recognized gap between research and implementation in avian conservation can be overcome with translational ecology, an intentional approach in which science producers and users from multiple disciplines work collaboratively to co-develop and deliver ecological research that addresses management and conservation issues. Avian conservation naturally lends itself to translational ecology because birds are well studied, typically widespread, often exhibit migratory behaviors transcending geopolitical boundaries, and necessitate coordinated conservation efforts to accommodate resource and habitat needs across the full annual cycle. In this perspective, we highlight several case studies from bird conservation practitioners and the ornithological and conservation social sciences exemplifying the 6 core translational ecology principles introduced in previous studies: collaboration, engagement, commitment, communication, process, and decision-framing. We demonstrate that following translational approaches can lead to improved conservation decision-making and delivery of outcomes via co-development of research and products that are accessible to broader audiences and applicable to specific management decisions (e.g., policy briefs and decision-support tools). We also identify key challenges faced during scientific producer–user engagement, potential tactics for overcoming these challenges, and lessons learned for overcoming the research-implementation gap. Finally, we recommend strategies for building a stronger translational ecology culture to further improve the integration of these principles into avian conservation decisions. By embracing translational ecology, avian conservationists and ornithologists can be well positioned to ensure that future management decisions are scientifically informed and that scientific research is sufficiently relevant to managers. Ultimately, such teamwork can help close the research-implementation gap in the conservation sciences during a time when environmental issues are threatening avian communities and their habitats at exceptional rates and at broadening spatial scales worldwide.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1093/ornithapp/duab018","usgsCitation":"Saunders, S.P., Wu, J.X., Gow, E.A., Adams, E.A., Bateman, B.L., Bayard, T., Beilke, S., Dayer, A.A., Fournier, A., Fox, K., Hamilton, C., Heglund, P., Lerman, S.B., Michel, N.L., Paxton, E.H., Sekercioglu, C.H., Smith, M., Thogmartin, W.E., Woodrey, M.S., and van Riper, C., 2021, Bridging the research-implementation gap in avian conservation with translational ecology: Ornithological Applications, v. 123, no. 3, duab018, https://doi.org/10.1093/ornithapp/duab018.","productDescription":"duab018","ipdsId":"IP-118107","costCenters":[{"id":568,"text":"Southwest Biological Science 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X.","contributorId":261666,"corporation":false,"usgs":false,"family":"Wu","given":"Joanna","email":"","middleInitial":"X.","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":820371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gow, Elizabeth A.","contributorId":261670,"corporation":false,"usgs":false,"family":"Gow","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":820378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Evan A.","contributorId":204599,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":820372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bateman, Brooke 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