{"pageNumber":"426","pageRowStart":"10625","pageSize":"25","recordCount":184569,"records":[{"id":70226683,"text":"70226683 - 2022 - Evidence-based guidelines for protective actions and earthquake early warning systems","interactions":[],"lastModifiedDate":"2022-01-25T17:18:44.75365","indexId":"70226683","displayToPublicDate":"2021-10-11T06:34:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Evidence-based guidelines for protective actions and earthquake early warning systems","docAbstract":"

Earthquake early warning systems (EEW) are becoming increasingly available or in development throughout the world. With public alerting in Mexico, Japan, Taiwan, and parts of the United States, it is important to provide evidence-based recommendations for protective action so people can protect themselves when they receive an alert. Best-practice warning communication research suggests that providing a protective action will increase the efficacy of the message. However, given the diversity of earthquakes and building types, as well as social and cultural contexts where these systems exist, the question is: what is the best protective action to recommend? The answer lies in maximizing life-saving protective actions during an earthquake event requires both contextually relevant messaging and widespread public education about appropriate protective actions under a range of conditions. By researching previous earthquake injury literature, examining current best practices and public education campaigns, key protective actions may be determined and used to increase the life-saving potential of earthquake early warning systems.

","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/geo2021-0222.1","usgsCitation":"McBride, S.K., Smith, H., Morgoch, M., Sumy, D.F., Jenkins, M., Peek, L., Bostrom, A., Baldwin, D., Reddy, B., de Groot, R., Becker, J., Johnston, D., and Wood, M., 2022, Evidence-based guidelines for protective actions and earthquake early warning systems: Geophysics, v. 87, no. 1, p. WA77-WA102, https://doi.org/10.1190/geo2021-0222.1.","productDescription":"26 p.","startPage":"WA77","endPage":"WA102","ipdsId":"IP-126352","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":449650,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1190/geo2021-0222.1","text":"Publisher Index Page"},{"id":392428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McBride, Sara K. 0000-0002-8062-6542 skmcbride@usgs.gov","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":224627,"corporation":false,"usgs":true,"family":"McBride","given":"Sara","email":"skmcbride@usgs.gov","middleInitial":"K.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":827641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Hollie","contributorId":269656,"corporation":false,"usgs":false,"family":"Smith","given":"Hollie","email":"","affiliations":[],"preferred":false,"id":827654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgoch, Meredith","contributorId":269657,"corporation":false,"usgs":false,"family":"Morgoch","given":"Meredith","email":"","affiliations":[],"preferred":false,"id":827655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sumy, Danielle F.","contributorId":197628,"corporation":false,"usgs":false,"family":"Sumy","given":"Danielle","middleInitial":"F.","affiliations":[],"preferred":false,"id":827656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenkins, Mariah","contributorId":269658,"corporation":false,"usgs":false,"family":"Jenkins","given":"Mariah","affiliations":[],"preferred":false,"id":827657,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peek, Lori","contributorId":269659,"corporation":false,"usgs":false,"family":"Peek","given":"Lori","email":"","affiliations":[],"preferred":false,"id":827658,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bostrom, Ann 0000-0002-6399-3404","orcid":"https://orcid.org/0000-0002-6399-3404","contributorId":239575,"corporation":false,"usgs":false,"family":"Bostrom","given":"Ann","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":827659,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baldwin, Dare","contributorId":269660,"corporation":false,"usgs":false,"family":"Baldwin","given":"Dare","email":"","affiliations":[],"preferred":false,"id":827660,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reddy, Beth","contributorId":269661,"corporation":false,"usgs":false,"family":"Reddy","given":"Beth","email":"","affiliations":[],"preferred":false,"id":827661,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"de Groot, Robert M. 0000-0001-9995-4207","orcid":"https://orcid.org/0000-0001-9995-4207","contributorId":210451,"corporation":false,"usgs":false,"family":"de Groot","given":"Robert M.","affiliations":[],"preferred":false,"id":827662,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Becker, Julia","contributorId":120277,"corporation":false,"usgs":true,"family":"Becker","given":"Julia","affiliations":[],"preferred":false,"id":827663,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johnston, David","contributorId":15935,"corporation":false,"usgs":true,"family":"Johnston","given":"David","email":"","affiliations":[],"preferred":false,"id":827664,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wood, Michelle","contributorId":269662,"corporation":false,"usgs":false,"family":"Wood","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":827665,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70249752,"text":"70249752 - 2022 - An assessment of current wolf Canis lupus domestication hypotheses based on wolf ecology and behaviour","interactions":[],"lastModifiedDate":"2023-10-26T11:46:26.123122","indexId":"70249752","displayToPublicDate":"2021-10-10T06:44:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1352,"text":"Current Biology","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of current wolf Canis lupus domestication hypotheses based on wolf ecology and behaviour","docAbstract":"

The dog was the first domesticated animal. Its derivation from grey wolves Canis lupus is important to the study of mammalian domestication, and wolf domestication is an active area of investigation. Recent popular books have promoted a hypothesis that wolves domesticated themselves as opposed to the earliest hypothesis that featured pup collection, adoption, and artificial selection. Continuing research has produced a greater understanding of wolf ecology and behaviour, including new insights into the wolf’s interaction with humans. Several characteristics make the wolf conducive to domestication: its sociality, catholic diet, excellent individual and cultural memory, inbreeding tolerance, varied personalities, and adaptable lifestyle. The wolf’s fear of humans is the main impediment and that alone is a factor strongly disfavouring the self-selection hypothesis. However, collecting young pups from dens and raising them would foster their socialising with humans as pack members. Neither hypothesis explains how wolves undergoing domestication were separated reproductively from their wild relatives, an important condition for domestication. We combine information from the literature with information from our own research on wild wolves, archaeology, and canid morphology. We explain how pup collection and deliberate or incidental selection and encouragement to breed with similarly raised wolves could keep incipient dogs separated reproductively from wild relatives. The key is humans regularly feeding the wolves and keeping only those able to live harmoniously with humans. Well-fed, human-dependent wolves would remain near their food supply and in the company of humans, thus increasing their bonds to humans and vice versa. Outbreeding with wild wolves would thus be avoided. Generation after generation of these human-fed, raised, and selected wolves would become increasingly dependent on humans and shaped by them. The pup-adoption hypothesis presented here is more in keeping with basic wolf ecology and behaviour than the self-domestication hypothesis.

","language":"English","publisher":"Wiley","doi":"10.1111/mam.12273","usgsCitation":"Mech, L.D., and Janssens, L.A., 2022, An assessment of current wolf Canis lupus domestication hypotheses based on wolf ecology and behaviour: Current Biology, v. 52, no. 2, p. 304-314, https://doi.org/10.1111/mam.12273.","productDescription":"11 p.","startPage":"304","endPage":"314","ipdsId":"IP-106198","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":422124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":886931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssens, Luc A. A.","contributorId":331208,"corporation":false,"usgs":false,"family":"Janssens","given":"Luc","email":"","middleInitial":"A. A.","affiliations":[{"id":79148,"text":"Ghent University, Department of Archaeology, UFO, Sint Pietersniewstraat 35, 9000 Ghent, Belgium","active":true,"usgs":false}],"preferred":false,"id":886932,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70229707,"text":"70229707 - 2022 - Projected impact of sea-level rise and urbanization on mottled duck (Anas fulvigula) habitat along the Gulf Coast of Louisiana and Texas through 2100","interactions":[],"lastModifiedDate":"2022-03-16T15:30:14.386184","indexId":"70229707","displayToPublicDate":"2021-10-08T11:28:59","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Projected impact of sea-level rise and urbanization on mottled duck (Anas fulvigula) habitat along the Gulf Coast of Louisiana and Texas through 2100","title":"Projected impact of sea-level rise and urbanization on mottled duck (Anas fulvigula) habitat along the Gulf Coast of Louisiana and Texas through 2100","docAbstract":"

Coastal wetlands along the Gulf of Mexico support a wide diversity of wildlife, are important nurseries for sport and commercial fisheries, provide erosion and flood control, and serve many other ecological functions and services. These marshes have been declining in area and degrading at alarming rates since the 1930s. Effective conservation planning is vital to protect these ecosystems, but decision makers often lack knowledge of expected future conditions to strategically target conservation actions. To address this issue, we focus on a species of conservation concern, the mottled duck (<i>Anas fulvigula</i>), that resides year-round in the coastal marshes of the Gulf of Mexico. We used location data collected from radiomarked hen mottled ducks from 2006 to 2011 to create an ensemble model of habitat selection for 2010. We then projected future habitat states using models of sea-level rise and human development. By combining future predictions with our ensemble model, we predict future habitat for mottled ducks through 2100, in 20-year time steps beginning with 2020. Sea-level rise models predicted reductions in coastal marsh habitats and our ensemble model predict corresponding declines in overall habitat quantity and quality for mottled ducks, with the largest rate of habitat loss predicted within the Chenier Plain of Louisiana, USA at 71%. In some areas, particularly the Texas Mid-Coast, USA, future urbanization and human development is expected to reduce the ability of wetland habitat to migrate inland with rising sea-levels. Our results also highlight areas of coastal marsh particularly vulnerable to sea-level rise; and conversely, identify areas most likely to persist into the future that could be targeted for habitat conservation to help mottled ducks persist on the landscape.

","language":"English","publisher":"Wiley","doi":"10.1016/j.ecolind.2021.108276","usgsCitation":"Moon, J., Lehnen, S., Metzger, K., Squires, M., Brasher, M., Wilson, B., Conway, W., Haukos, D.A., Davis, B., Rohwer, F., Wehland, E., and Ballard, B., 2022, Projected impact of sea-level rise and urbanization on mottled duck (Anas fulvigula) habitat along the Gulf Coast of Louisiana and Texas through 2100: Ecological Indicators, v. 132, 108276, 28 p., https://doi.org/10.1016/j.ecolind.2021.108276.","productDescription":"108276, 28 p.","ipdsId":"IP-132508","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2021.108276","text":"Publisher Index Page"},{"id":397158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.94287109375,\n 27.254629577800063\n ],\n [\n -91.49414062499999,\n 27.254629577800063\n ],\n [\n -91.49414062499999,\n 31.062345409804408\n ],\n [\n -98.94287109375,\n 31.062345409804408\n ],\n [\n -98.94287109375,\n 27.254629577800063\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"132","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moon, J.A.","contributorId":288507,"corporation":false,"usgs":false,"family":"Moon","given":"J.A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":838035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lehnen, S.E.","contributorId":288508,"corporation":false,"usgs":false,"family":"Lehnen","given":"S.E.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":838036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metzger, K.L.","contributorId":288509,"corporation":false,"usgs":false,"family":"Metzger","given":"K.L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":838037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Squires, M.A.","contributorId":288511,"corporation":false,"usgs":false,"family":"Squires","given":"M.A.","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":838038,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brasher, M.G.","contributorId":288514,"corporation":false,"usgs":false,"family":"Brasher","given":"M.G.","email":"","affiliations":[{"id":61782,"text":"3Ducks Unlimited, Inc","active":true,"usgs":false}],"preferred":false,"id":838039,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, B.C.","contributorId":288516,"corporation":false,"usgs":false,"family":"Wilson","given":"B.C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":838040,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conway, W.C.","contributorId":288517,"corporation":false,"usgs":false,"family":"Conway","given":"W.C.","email":"","affiliations":[{"id":61784,"text":"Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":838041,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":838034,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Davis, B.E.","contributorId":288518,"corporation":false,"usgs":false,"family":"Davis","given":"B.E.","affiliations":[{"id":61785,"text":"Minnesota Deptartment of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":838042,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rohwer, F.C.","contributorId":288519,"corporation":false,"usgs":false,"family":"Rohwer","given":"F.C.","affiliations":[{"id":61786,"text":"Delta Waterfowl Foundation","active":true,"usgs":false}],"preferred":false,"id":838043,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wehland, E.M.","contributorId":288665,"corporation":false,"usgs":false,"family":"Wehland","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":838182,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ballard, B.M.","contributorId":95028,"corporation":false,"usgs":true,"family":"Ballard","given":"B.M.","email":"","affiliations":[],"preferred":false,"id":838183,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70230109,"text":"70230109 - 2022 - Applying assessments of adaptive capacity to inform natural-resource management in a changing climate","interactions":[],"lastModifiedDate":"2022-04-26T12:16:20.429434","indexId":"70230109","displayToPublicDate":"2021-10-08T11:23:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Applying assessments of adaptive capacity to inform natural-resource management in a changing climate","docAbstract":"

Adaptive capacity (AC)—the ability of a species to cope with or accommodate climate change—is a critical determinant of species vulnerability. Using information on species’ AC in conservation planning is key to ensuring successful outcomes. We identified connections between a list of species’ attributes (e.g., traits, population metrics, and behaviors) that were recently proposed for assessing species’ AC and management actions that may enhance AC for species at risk of extinction. Management actions were identified based on evidence from the literature, a review of actions used in other climate adaptation guidance, and our collective experience in diverse fields of global-change ecology and climate adaptation. Selected management actions support the general AC pathways of persist in place or shift in space, in response to contemporary climate change. Some actions, such as genetic manipulations, can be used to directly alter the ability of species to cope with climate change, whereas other actions can indirectly enhance AC by addressing ecological or anthropogenic constraints on the expression of a species’ innate abilities to adapt. Ours is the first synthesis of potential management actions directly linked to AC. Focusing on AC attributes helps improve understanding of how and why aspects of climate are affecting organisms, as well as the mechanisms by which management interventions affect a species’ AC and climate change vulnerability. Adaptive-capacity-informed climate adaptation is needed to build connections among the causes of vulnerability, AC, and proposed management actions that can facilitate AC and reduce vulnerability in support of evolving conservation paradigms.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.13838","usgsCitation":"Thurman, L., Gross, J.E., Mengelt, C., Beever, E.A., Thompson, L., Schuurman, G.W., Hoving, C., and Olden, J., 2022, Applying assessments of adaptive capacity to inform natural-resource management in a changing climate: Conservation Biology, v. 36, no. 2, e13838, 9 p., https://doi.org/10.1111/cobi.13838.","productDescription":"e13838, 9 p.","ipdsId":"IP-123915","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true},{"id":49226,"text":"Northwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":397870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Thurman, Lindsey 0000-0003-3142-4909","orcid":"https://orcid.org/0000-0003-3142-4909","contributorId":269425,"corporation":false,"usgs":true,"family":"Thurman","given":"Lindsey","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":839067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, John E.","contributorId":106777,"corporation":false,"usgs":false,"family":"Gross","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":839068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mengelt, Claudia 0000-0001-7869-5170","orcid":"https://orcid.org/0000-0001-7869-5170","contributorId":147690,"corporation":false,"usgs":false,"family":"Mengelt","given":"Claudia","affiliations":[{"id":16901,"text":"National Research Council, 500 Fifth Street NW, Washington, D.C., 20001, USA","active":true,"usgs":false}],"preferred":false,"id":839069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":839070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":207364,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":839071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":839072,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoving, Christopher","contributorId":289379,"corporation":false,"usgs":false,"family":"Hoving","given":"Christopher","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":839073,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Olden, Julian D.","contributorId":202893,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":839074,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70233459,"text":"70233459 - 2022 - Loss of branches due to winter storms could favor deciduousness in oaks","interactions":[],"lastModifiedDate":"2022-07-21T14:22:14.444931","indexId":"70233459","displayToPublicDate":"2021-10-08T09:19:01","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":724,"text":"American Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"Loss of branches due to winter storms could favor deciduousness in oaks","docAbstract":"

Premise

Ecologists have an incomplete understanding of the factors that select for deciduous, evergreen, and marcescent leaf habits. Evergreens have more opportunities for photosynthesis but may experience costs when abiotic conditions are unfavorable such as during ice and windstorms.

Methods

We documented branch loss for species of oaks (Quercus spp.) in a common garden in California during an unusual windstorm.

Results

Branches of marcescent trees were more likely to break during the storm, and this pattern had a negligible phylogenetic signature. Branches of evergreen and marcescent species were mostly alive before breaking, which likely accrued a fitness cost, while those of deciduous species were mostly already dead. One explanation for the overrepresentation of broken branches from marcescent species is that their petioles are inflexible and have greater wind loading compared to the flexible petioles of evergreen leaves and the leafless condition of deciduous branches.

Conclusions

These results suggest that branch loss during unusual winter storms may be an important cost of a marcescent leaf habit.

","language":"English","publisher":"Botanical Society of America","doi":"10.1002/ajb2.1763","usgsCitation":"Karban, R., and Pearse, I.S., 2022, Loss of branches due to winter storms could favor deciduousness in oaks: American Journal of Botany, v. 108, no. 11, p. 2309-2314, https://doi.org/10.1002/ajb2.1763.","productDescription":"6 p.","startPage":"2309","endPage":"2314","ipdsId":"IP-128417","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":449661,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ajb2.1763","text":"Publisher Index Page"},{"id":404218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Karban, Richard","contributorId":293502,"corporation":false,"usgs":false,"family":"Karban","given":"Richard","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":847148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":847147,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223313,"text":"70223313 - 2022 - Development of a multiplex fluorescence in situ hybridization assay to identify coinfections in young-of-the-year smallmouth bass","interactions":[],"lastModifiedDate":"2022-03-28T15:36:43.061897","indexId":"70223313","displayToPublicDate":"2021-10-08T09:01:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2177,"text":"Journal of Aquatic Animal Health","active":true,"publicationSubtype":{"id":10}},"title":"Development of a multiplex fluorescence in situ hybridization assay to identify coinfections in young-of-the-year smallmouth bass","docAbstract":"

Histopathological assessments of young-of-the-year (age-0) Smallmouth Bass Micropterus dolomieu in the Susquehanna River drainage identified a high prevalence of the myxozoan Myxobolus inornatus. This myxozoan infects the connective tissue of the muscle below the skin but is sometimes observed in the esophagus and buccal cavity. In some instances, shallow infections cause breaks in the skin, which could increase the chance of opportunistic bacterial infections. Several microbial pathogens, including Flavobacterium columnare, Aeromonas spp., and Largemouth Bass virus, have also been cultured from clinically diseased young of year. A multiplex fluorescence in situ hybridization (FISH) assay was developed to determine potential colocalization of M. inornatus, Flavobacterium spp., and Aeromonas spp. infections. With FISH, 75% of age-0 Smallmouth Bass exhibited M. inornatus infections, 10% had Aeromonas spp. infections, and 5% had Flavobacterium spp. infections, while 3% had coinfections with both bacterial species and M. inornatus. The results of the multiplex FISH assay revealed a low occurrence of coinfections of Flavobacterium spp. and/or Aeromonas spp. with M. inornatus in randomly sampled individuals.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/aah.10144","usgsCitation":"Walsh, H.L., Blazer, V., and Mazik, P.M., 2022, Development of a multiplex fluorescence in situ hybridization assay to identify coinfections in young-of-the-year smallmouth bass: Journal of Aquatic Animal Health, v. 34, no. 1, p. 12-19, https://doi.org/10.1002/aah.10144.","productDescription":"8 p.","startPage":"12","endPage":"19","ipdsId":"IP-128341","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":449664,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/aah.10144","text":"External Repository"},{"id":391011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Susquehanna River drainage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.0411376953125,\n 39.78321267821705\n ],\n [\n -75.6243896484375,\n 39.78321267821705\n ],\n [\n -75.6243896484375,\n 41.89409955811395\n ],\n [\n -79.0411376953125,\n 41.89409955811395\n ],\n [\n -79.0411376953125,\n 39.78321267821705\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":821693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":821694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazik, Patricia M. 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":2318,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":821695,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70230488,"text":"70230488 - 2022 - Genome-wide SNP analysis of three moose subspecies at the southern range limit in the contiguous United States","interactions":[],"lastModifiedDate":"2023-06-06T16:36:38.703583","indexId":"70230488","displayToPublicDate":"2021-10-08T06:49:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genome-wide SNP analysis of three moose subspecies at the southern range limit in the contiguous United States","docAbstract":"

Genome-wide evaluations of genetic diversity and population structure are important for informing management and conservation of trailing-edge populations. North American moose (Alces alces) are declining along portions of the southern edge of their range due to disease, species interactions, and marginal habitat, all of which may be exacerbated by climate change. We employed a genotyping by sequencing (GBS) approach in an effort to collect baseline information on the genetic variation of moose inhabiting the species’ southern range periphery in the contiguous United States. We identified 1920 single nucleotide polymorphisms (SNPs) from 155 moose representing three subspecies from five states: A. a. americana (New Hampshire), A. a. andersoni (Minnesota), and A. a. shirasi (Idaho, Montana, and Wyoming). Molecular analyses supported three geographically isolated clusters, congruent with currently recognized subspecies. Additionally, while moderately low genetic diversity was observed, there was little evidence of inbreeding. Results also indicated > 20% shared ancestry proportions between A. a. shirasi samples from northern Montana and A. a. andersoni samples from Minnesota, indicating a putative hybrid zone warranting further investigation. GBS has proven to be a simple and effective method for genome-wide SNP discovery in moose and provides robust data for informing herd management and conservation priorities. With increasing disease, predation, and climate related pressure on range edge moose populations in the United States, the use of SNP data to identify gene flow between subspecies may prove a powerful tool for moose management and recovery, particularly if hybrid moose are more able to adapt.


","language":"English","publisher":"Springer","doi":"10.1007/s10592-021-01402-w","usgsCitation":"Ferrante, J., Smith, C.H., Thompson, L., and Hunter, M., 2022, Genome-wide SNP analysis of three moose subspecies at the southern range limit in the contiguous United States: Conservation Genetics, v. 23, no. 1, p. 109-121, https://doi.org/10.1007/s10592-021-01402-w.","productDescription":"13 p.","startPage":"109","endPage":"121","ipdsId":"IP-122360","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":449666,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-021-01402-w","text":"Publisher Index Page"},{"id":398728,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417845,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FXUZN8"}],"country":"United States","geographicExtents":"{\n 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Center","active":true,"usgs":true}],"preferred":true,"id":840546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Chase H. 0000-0002-1499-0311","orcid":"https://orcid.org/0000-0002-1499-0311","contributorId":225140,"corporation":false,"usgs":false,"family":"Smith","given":"Chase","email":"","middleInitial":"H.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":840547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":221497,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":840548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214958,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":840549,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70225498,"text":"70225498 - 2022 - Megafires and thick smoke portend big problems for migratory birds","interactions":[],"lastModifiedDate":"2022-01-25T16:55:26.865348","indexId":"70225498","displayToPublicDate":"2021-10-08T06:36:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Megafires and thick smoke portend big problems for migratory birds","docAbstract":"

In 2020, the fire season affecting the western United States reached unprecedented levels. The 116 fires active in September consumed nearly 20,822 km2 (https://inciweb.nwcg.gov/accessible-view/ Accessed 2020-09-29) with eighty percent of this footprint (16,567 km2) from 68 fires occurring within California, Oregon, and Washington. Although the 2020 fire season was the most extreme on record, it exemplified patterns of increased wildfire size, number, timing, return frequency, and extent which are linked to climate-driven changes in precipitation and temperature affecting fire ignition and severity (Westerling 2016, Goss et al. 2020, Weber and Yadav 2020).

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3552","usgsCitation":"Overton, C.T., Lorenz, A., James, E., Ahmadov, R., Eadie, J.M., McDuie, F., Petrie, M.J., Nicolai, C.A., Weaver, M.L., Skalos, D., Skalos, S., Mott, A.L., Mackell, D.A., Kennedy, A., Matchett, E., and Casazza, M.L., 2022, Megafires and thick smoke portend big problems for migratory birds: Ecology, v. 103, no. 1, e03552, 5 p., https://doi.org/10.1002/ecy.3552.","productDescription":"e03552, 5 p.","ipdsId":"IP-123670","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":449668,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.3552","text":"Publisher Index Page"},{"id":436050,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IE7YCH","text":"USGS data release","linkHelpText":"Tule Greater White-fronted Goose Migration Tracks (2019-2020) and Atmospheric Smoke Concentrations (2020)."},{"id":390597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.76318359375,\n 32.861132322810946\n ],\n [\n -114.06005859375,\n 34.63320791137959\n ],\n [\n -115.37841796874999,\n 35.60371874069731\n ],\n [\n -119.970703125,\n 39.13006024213511\n ],\n [\n -119.99267578124999,\n 41.96765920367816\n ],\n [\n -117.00439453125,\n 42.00032514831621\n ],\n [\n -116.87255859374999,\n 46.13417004624326\n ],\n [\n -116.91650390625,\n 49.05227025601607\n ],\n [\n -122.98095703125,\n 49.06666839558117\n ],\n [\n -123.28857421875,\n 48.3416461723746\n ],\n [\n -124.8046875,\n 48.472921272487824\n ],\n [\n -124.25537109375,\n 45.84410779560204\n ],\n [\n -124.76074218749999,\n 41.85319643776675\n ],\n [\n -124.56298828125001,\n 40.27952566881291\n ],\n [\n -123.26660156249999,\n 38.048091067457236\n ],\n [\n -121.66259765625001,\n 35.79999392988527\n ],\n [\n -120.80566406250001,\n 34.415973384481866\n ],\n [\n -120.05859375,\n 33.5963189611327\n ],\n [\n -118.0810546875,\n 32.32427558887655\n ],\n [\n -116.96044921875,\n 32.565333160841035\n ],\n [\n -114.78515624999999,\n 32.69486597787505\n ],\n [\n -114.76318359375,\n 32.861132322810946\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"103","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":825289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, Austen 0000-0003-3657-5941","orcid":"https://orcid.org/0000-0003-3657-5941","contributorId":222610,"corporation":false,"usgs":true,"family":"Lorenz","given":"Austen","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":825290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"James, Eric P.","contributorId":267794,"corporation":false,"usgs":false,"family":"James","given":"Eric P.","affiliations":[{"id":55509,"text":"CIRES, University of Colorado, Boulder, CO, USA","active":true,"usgs":false}],"preferred":false,"id":825291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ahmadov, Ravan","contributorId":267795,"corporation":false,"usgs":false,"family":"Ahmadov","given":"Ravan","email":"","affiliations":[{"id":55509,"text":"CIRES, University of Colorado, Boulder, CO, USA","active":true,"usgs":false}],"preferred":false,"id":825292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eadie, John M.","contributorId":65219,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":825293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDuie, Fiona 0000-0002-1948-5613","orcid":"https://orcid.org/0000-0002-1948-5613","contributorId":222936,"corporation":false,"usgs":true,"family":"McDuie","given":"Fiona","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":825294,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Petrie, Mark J.","contributorId":214396,"corporation":false,"usgs":false,"family":"Petrie","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":825295,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nicolai, Chris A.","contributorId":196372,"corporation":false,"usgs":false,"family":"Nicolai","given":"Chris","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":825296,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weaver, Melanie L.","contributorId":250673,"corporation":false,"usgs":false,"family":"Weaver","given":"Melanie","email":"","middleInitial":"L.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":825297,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Skalos, Daniel A.","contributorId":250668,"corporation":false,"usgs":false,"family":"Skalos","given":"Daniel A.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":825298,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Skalos, Shannon 0000-0003-1229-8580 sskalos@usgs.gov","orcid":"https://orcid.org/0000-0003-1229-8580","contributorId":167191,"corporation":false,"usgs":true,"family":"Skalos","given":"Shannon","email":"sskalos@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":825299,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mott, Andrea Lynn 0000-0001-9586-9590","orcid":"https://orcid.org/0000-0001-9586-9590","contributorId":260149,"corporation":false,"usgs":true,"family":"Mott","given":"Andrea","email":"","middleInitial":"Lynn","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":825300,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mackell, Desmond Alexander 0000-0002-1682-2581","orcid":"https://orcid.org/0000-0002-1682-2581","contributorId":266036,"corporation":false,"usgs":true,"family":"Mackell","given":"Desmond","email":"","middleInitial":"Alexander","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":825301,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kennedy, Anna 0000-0002-6530-7498","orcid":"https://orcid.org/0000-0002-6530-7498","contributorId":259164,"corporation":false,"usgs":true,"family":"Kennedy","given":"Anna","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":825302,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":825303,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"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":825304,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70225499,"text":"70225499 - 2022 - Range eclipse leads to tenuous survival of a rare lizard species on a barrier atoll","interactions":[],"lastModifiedDate":"2022-01-25T17:03:05.91315","indexId":"70225499","displayToPublicDate":"2021-10-08T06:24:56","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2968,"text":"Oryx","active":true,"publicationSubtype":{"id":10}},"title":"Range eclipse leads to tenuous survival of a rare lizard species on a barrier atoll","docAbstract":"

Rediscovery of living populations of a species that was presumed to be extirpated can generate new narratives for conservation in areas suffering from losses in biodiversity. We used field observations and DNA sequence data to verify the rediscovery of the Critically Endangered scincid lizard Emoia slevini on Dåno′, an islet off the coast of Guam in the southern Mariana Islands, where for > 20 years it had been considered possibly extirpated. Endemic to the Marianas, E. slevini has declined throughout its range and no longer occurs on as many as five islands from which it was historically known, most likely because of interactions with invasive species and loss of native forest. Our results show that individuals from Dåno′, the type locality for E. slevini, are genetically similar but not identical to E. slevini on Sarigan and Alamagan to the north, and that E. slevini is a close evolutionary relative to another congener in the southern Marianas that is currently recognized as Emoia atrocostata but probably represents an undescribed species in this archipelago. We also show that other, more broadly distributed species of Emoia occurring on Dåno′ are distant relatives to E. slevini and the Mariana lineage of E. atrocostata, providing further evidence of the distinctiveness of these taxa. The rediscovery of E. slevini on Dåno′ following rodent eradication and culling of a population of monitor lizards suggests that management of invasive species is key to the recovery of this skink in the Mariana Islands, and that a range eclipse on the larger neighbouring island of Guam best explains why the rediscovery took place at the periphery of the species’ historic range. A Chamorro abstract can be found in the supplementary material.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0030605320001404","usgsCitation":"Richmond, J.Q., Wostl, E., Reed, R., and Fisher, R., 2022, Range eclipse leads to tenuous survival of a rare lizard species on a barrier atoll: Oryx, v. 56, no. 1, p. 63-72, https://doi.org/10.1017/S0030605320001404.","productDescription":"10 p.","startPage":"63","endPage":"72","ipdsId":"IP-125089","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"links":[{"id":449672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0030605320001404","text":"Publisher Index Page"},{"id":390600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Northern Marianas Islands","otherGeospatial":"Dåno′, Guam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 144.2120361328125,\n 12.860004340637042\n ],\n [\n 146.17309570312497,\n 12.860004340637042\n ],\n [\n 146.17309570312497,\n 20\n ],\n [\n 144.2120361328125,\n 20\n ],\n [\n 144.2120361328125,\n 12.860004340637042\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":825305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wostl, Elijah","contributorId":174771,"corporation":false,"usgs":false,"family":"Wostl","given":"Elijah","email":"","affiliations":[{"id":27511,"text":"U. Texas - Arlington","active":true,"usgs":false}],"preferred":false,"id":825306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert 0000-0001-8349-6168","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":267796,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":825307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":825308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70226744,"text":"70226744 - 2022 - New-generation pesticides are prevalent in California's Central Coast streams","interactions":[],"lastModifiedDate":"2021-12-09T12:48:15.800792","indexId":"70226744","displayToPublicDate":"2021-10-07T06:45:47","publicationYear":"2022","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":"New-generation pesticides are prevalent in California's Central Coast streams","docAbstract":"

Pesticides are widely recognized as important biological stressors in streams, especially in heavily developed urban and agricultural areas like the Central California Coast region. We assessed occurrence and potential toxicity of pesticides in small streams in the region using two analytical methods: a broad-spectrum (223 compounds) method in use since 2012 and a newly developed method for 30 additional new-generation fungicides and insecticides. At least one pesticide compound was identified in 83 of the 85 streams sampled. About one-half (48%) of the 253 pesticides measured were detected at least once and 27 were detected in 10% or more of samples. Three of the top 4, and 6 of the top 10 most frequently detected compounds (chlorantraniliprole, dinotefuran, boscalid, thiamethoxam, clothianidin and the fluopicolide degradate 2,6-dichlorobenzamide) were analyzed by the new method. Pesticide mixtures were common, with two or more pesticide compounds detected in 81% of samples and 10 or more in 32% of samples. The pesticide count at a site was relatively consistent over the 6-week study. Four sites with mixed land-use in the lower basin (<5 km from the sampling site) tended to have the highest pesticide counts and the highest concentrations. Potential toxicity (assessed by comparison to benchmarks) to invertebrates was much more common than potential toxicity to fish or plants and was associated with a wide array of insecticides. The common occurrence of new-generation pesticides highlights the need to continuously update analytical methods to keep pace with changing pesticide use for a fuller assessment of pesticide occurrence and effects on the environment.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.150683","usgsCitation":"Sandstrom, M.W., Nowell, L.H., Mahler, B., and Van Metre, P.C., 2022, New-generation pesticides are prevalent in California's Central Coast streams: Science of the Total Environment, v. 806, no. 4, 150683, 15 p., https://doi.org/10.1016/j.scitotenv.2021.150683.","productDescription":"150683, 15 p.","ipdsId":"IP-129720","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":488934,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.150683","text":"Publisher Index Page"},{"id":392673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.27734374999999,\n 34.21634468843463\n ],\n [\n -116.91650390625,\n 34.21634468843463\n ],\n [\n -116.91650390625,\n 39.67337039176558\n ],\n [\n -124.27734374999999,\n 39.67337039176558\n ],\n [\n -124.27734374999999,\n 34.21634468843463\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"806","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":828108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":828109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":828110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828111,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70225155,"text":"70225155 - 2022 - Vertical movement of soluble carbon and nutrients from biocrusts to subsurface mineral soils","interactions":[],"lastModifiedDate":"2021-10-14T12:21:04.854638","indexId":"70225155","displayToPublicDate":"2021-10-06T07:19:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Vertical movement of soluble carbon and nutrients from biocrusts to subsurface mineral soils","docAbstract":"

Dryland ecosystems can be constrained by low soil fertility. Within drylands, the soil nutrient and organic carbon (C) cycling that does occur is often mediated by soil surface communities known as biological soil crusts (biocrusts), which cycle C and nutrients in the top ca. 0–2 cm of soil. However, the degree to which biocrusts are influencing soil fertility and biogeochemical cycling in deeper, subsurface mineral soils is unclear. The movement of dissolved resources from biocrusts to deeper soil layers in leachate may be one of the main mechanisms through which biocrust fertility is transferred downward towards deeper microbial communities and plant roots occurring within mineral soil. Here we examined the role of biocrust leachate in contributing to subsurface nutrient and soluble C pools and subsurface microbial cycling. We collected biocrusts from three biocrust successional stages and explored resource pools in situ at multiple soil depths, while collecting leachate and measuring nutrient and organic C concentrations and metabolite composition from each successional stage in the laboratory. After four leachate collections, we conducted an incubation of mineral soil collected from below each biocrust successional stage to measure heterotrophic microbial CO2 flux and biomass. Overall, our findings observed that the degree of nutrient and C connectivity between biocrusts and the sub-crust mineral soil depended on the biocrust successional stage and the element being considered, and the influence of biocrust successional stage on mineral soil CO2 flux is likely related to long-term resource build up. Together, our results suggest that the influence of biocrust leachate on subsurface mineral soil is complex and context dependent, but, over longer time periods and at later successional stages, can have measurable effects on dryland soil biogeochemical cycling with feedbacks to resource availability and CO2 flux.

","language":"English","publisher":"ElSevier","doi":"10.1016/j.geoderma.2021.115495","usgsCitation":"Young, K.E., Ferrenberg, S., Reibold, R.H., Reed, S., Swenson, T., Northen, T., and Darrouzet-Nardi, A., 2022, Vertical movement of soluble carbon and nutrients from biocrusts to subsurface mineral soils: Geoderma, v. 405, 115495, 11 p., https://doi.org/10.1016/j.geoderma.2021.115495.","productDescription":"115495, 11 p.","ipdsId":"IP-125345","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":449675,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/servlets/purl/1906822","text":"Publisher Index Page"},{"id":390514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"405","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Kristina E.","contributorId":210572,"corporation":false,"usgs":false,"family":"Young","given":"Kristina","email":"","middleInitial":"E.","affiliations":[{"id":38116,"text":"Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79902, USA","active":true,"usgs":false}],"preferred":false,"id":825194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrenberg, Scott","contributorId":217143,"corporation":false,"usgs":false,"family":"Ferrenberg","given":"Scott","affiliations":[{"id":39569,"text":"Department of Biology, New Mexico State University, Las Cruces, NM 88001, USA","active":true,"usgs":false}],"preferred":false,"id":825195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reibold, Robin H. 0000-0002-3323-487X","orcid":"https://orcid.org/0000-0002-3323-487X","contributorId":207499,"corporation":false,"usgs":true,"family":"Reibold","given":"Robin","email":"","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":825196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":825197,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swenson, Tami","contributorId":267740,"corporation":false,"usgs":false,"family":"Swenson","given":"Tami","email":"","affiliations":[{"id":55489,"text":"Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":825198,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Northen, Trent","contributorId":267741,"corporation":false,"usgs":false,"family":"Northen","given":"Trent","email":"","affiliations":[{"id":55489,"text":"Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":825199,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Darrouzet-Nardi, Anthony adarrouzet-nardi@usgs.gov","contributorId":207292,"corporation":false,"usgs":false,"family":"Darrouzet-Nardi","given":"Anthony","email":"adarrouzet-nardi@usgs.gov","affiliations":[],"preferred":false,"id":825200,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70230350,"text":"70230350 - 2022 - The seismic hazard implications of declustering and poisson assumptions inferred from a fully time‐dependent model","interactions":[],"lastModifiedDate":"2022-04-08T12:12:44.823446","indexId":"70230350","displayToPublicDate":"2021-10-05T07:10:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The seismic hazard implications of declustering and poisson assumptions inferred from a fully time‐dependent model","docAbstract":"

We use the Third Uniform California Earthquake Rupture Forecast (UCERF3) epidemic‐type aftershock sequence (ETAS) model (UCERF3‐ETAS) to evaluate the effects of declustering and Poisson assumptions on seismic hazard estimates. Although declustering is necessary to infer the long‐term spatial distribution of earthquake rates, the question is whether it is also necessary to honor the Poisson assumption in classic probabilistic seismic hazard assessment. We use 500,000 yr, M ≥ 2.5 synthetic catalogs to address this question, for which UCERF3‐ETAS exhibits realistic spatiotemporal clustering effects (e.g., aftershocks). We find that Gardner and Knopoff (1974) declustering, used in the U.S. Geological Survey seismic hazard models, lowers 2% in 50 yr and risk‐targeted ground‐motion hazard metrics by about 4% on average (compared with the full time‐dependent [TD] model), with the reduction being 5% at 40% in 50 yr ground motions. Keeping all earthquakes and treating them as a Poisson process increases these same hazard metrics by about 3%–12%, on average, due to the removal of relatively quiet time periods in the full TD model. In the interest of model simplification, bias minimization, and consideration of the probabilities of multiple exceedances, we agree with others (Marzocchi and Taroni, 2014) that we are better off keeping aftershocks and treating them as a Poisson process rather than removing them from hazard consideration via declustering. Honoring the true time dependence, however, will likely be important for other hazard and risk metrics, and this study further exemplifies how this can now be evaluated more extensively.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120210027","usgsCitation":"Field, E.H., Milner, K.R., and Luco, N., 2022, The seismic hazard implications of declustering and poisson assumptions inferred from a fully time‐dependent model: Bulletin of the Seismological Society of America, v. 112, no. 1, p. 527-537, https://doi.org/10.1785/0120210027.","productDescription":"11 p.","startPage":"527","endPage":"537","ipdsId":"IP-130681","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":398382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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public support for sustainability policy in an agricultural landscape","docAbstract":"Agricultural landscapes are the bleeding-edge in the advancement of sustainability and climate change adaptation. Our study focuses on how individual support for sustainability policy is shaped in coupled natural and human systems. We present an agent-based model in which a cultural decision-rule quantifies the probability that a stakeholder decides to support an easement policy for a region in the Central Great Plains, USA. Our model defines a cultural threshold used to assess how culturally meaningful the policy is for each stakeholder. The individual cultural threshold is estimated using the value-belief-norm framework and is modified by perceived changes in the environment. Results demonstrated that few stakeholders support the policy in the average cultural setting (8.9%). However, enough stakeholders would support the policy under a lower cultural threshold (40.7%). Our results indicate that sustainability policies do not need to be cheap if they are culturally meaningful.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2021.113776","usgsCitation":"Granco, G., Caldas, M., Bergtold, J., Heier Stamm, J.L., Mather, M.E., Sanderson, M., Daniels, M., Sheshukov, A.Y., Haukos, D.A., and Ramsey, S.M., 2022, Local environment and individuals’ beliefs: The dynamics shaping public support for sustainability policy in an agricultural landscape: Journal of Environmental Management, v. 301, 113776, 12 p., https://doi.org/10.1016/j.jenvman.2021.113776.","productDescription":"113776, 12 p.","ipdsId":"IP-125148","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Smoky Hill River watershed","geographicExtents":"{\n \"type\": 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We derive approximate expressions for the ellipticity (i.e. horizontal-to-vertical or vertical-to-horizontal ratio) of Rayleigh waves propagating in a layered medium. The approximation is based on the generalized energy equation for Rayleigh waves, which has been used previously to obtain perturbational results for ellipticity. For a medium with weakly heterogeneous layers, we obtain an approximation from the perturbational result by taking the background medium to be homogeneous. The generalized energy equation also requires an auxiliary function and we discuss how the various possible functions are related to the homogeneous Rayleigh-wave eigenfunction. The analysis reveals that, within the weak approximation, the product of ellipticity and squared phase velocity is linearly related to squared shear wave velocity in the subsurface. We show the accuracy of the approximation with a simple layer-over-half-space model and then demonstrate its utility in a linear inversion scheme for shear wave velocity.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggab395","usgsCitation":"Haney, M.M., and Tsai, V.C., 2022, Rayleigh-wave ellipticity in weakly heterogeneous layered media: Geophysical Journal International, v. 228, no. 2, p. 1313-1323, https://doi.org/10.1093/gji/ggab395.","productDescription":"11 p.","startPage":"1313","endPage":"1323","ipdsId":"IP-130168","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":449681,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggab395","text":"Publisher Index Page"},{"id":406672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"228","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":851700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsai, Victor C. 0000-0003-1809-6672","orcid":"https://orcid.org/0000-0003-1809-6672","contributorId":199684,"corporation":false,"usgs":false,"family":"Tsai","given":"Victor","email":"","middleInitial":"C.","affiliations":[{"id":27150,"text":"Seismological Laboratory, California Institute of Technology, Pasadena, CA, USA","active":true,"usgs":false}],"preferred":false,"id":851701,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227179,"text":"70227179 - 2022 - Population genetics of Brook Trout (Salvelinus fontinalis) in the southern Appalachian Mountains","interactions":[],"lastModifiedDate":"2022-03-28T16:34:32.669545","indexId":"70227179","displayToPublicDate":"2021-10-03T10:21:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Population genetics of Brook Trout (Salvelinus fontinalis) in the southern Appalachian Mountains","title":"Population genetics of Brook Trout (Salvelinus fontinalis) in the southern Appalachian Mountains","docAbstract":"Broad-scale patterns of genetic diversity for Brook Trout remain poorly understood across their endemic range in the eastern United States. We characterized variation at 12 microsatellite loci in 22,020 Brook Trout among 836 populations from Georgia, USA to Quebec, Canada to the western Great Lakes region. Within-population diversity was typically lower in the southern Appalachians relative to the mid-Atlantic and northeastern regions. Effective population sizes in the southern Appalachians were often very small, with many estimates less than 30 individuals. The population genetics of Brook Trout in the southern Appalachians are far more complex than a conventionally held simple “northern” versus “southern” dichotomy would suggest. Contemporary population genetic variation was consistent with geographic expansion of Brook Trout from Mississippian, mid-Atlantic, and Acadian glacial refuges, as well as differentiation among drainages within these broader clades. Genetic variation was pronounced among drainages (57.4% of overall variation occurred among Hydrologic Unit Code (HUC)10 or larger units) but was considerable even at fine spatial scales (13% of variation occurred among collections within HUC12 drainage units). Remarkably, 87.2% of individuals were correctly assigned to their collection of origin. While comparisons with fish from existing major hatcheries showed impacts of stocking in some populations, genetic introgression did not overwhelm the signal of broad-scale patterns of population genetic structure. Although our results reveal deep genetic structure in Brook Trout over broad spatial extents, fine-scale population structuring is prevalent across the southern Appalachians. Our findings highlight the distinctiveness and vulnerability of many Brook Trout populations in the southern Appalachian Mountains and have important implications for wild Brook Trout management. To facilitate application of our findings by conservation practitioners, we provide an interactive online visualization tool to allow our results to be explored at management relevant scales.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10337","usgsCitation":"Kazyak, D., Lubinski, B.A., Kulp, M.A., Pregler, K., Whiteley, A.R., Hallerman, E.M., Coombs, J.A., Kanno, Y., Rash, J., Morgan II, R., Habera, J., Henegar, J., Weathers, T., Sell, M.T., Rabern, A., Rankin, D., and King, T., 2022, Population genetics of Brook Trout (Salvelinus fontinalis) in the southern Appalachian Mountains: Transactions of the American Fisheries Society, v. 151, no. 2, p. 127-149, https://doi.org/10.1002/tafs.10337.","productDescription":"23 p.","startPage":"127","endPage":"149","ipdsId":"IP-126747","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":449683,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/tafs.10337","text":"External Repository"},{"id":393864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia, West Virginia","otherGeospatial":"southern Appalachian Mountians","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.375732421875,\n 36.30627216957992\n ],\n [\n -79.38720703125,\n 36.30627216957992\n ],\n [\n -79.38720703125,\n 38.66835610151506\n ],\n [\n -81.375732421875,\n 38.66835610151506\n ],\n [\n -81.375732421875,\n 36.30627216957992\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"151","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":829940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":829941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kulp, Matt A.","contributorId":196801,"corporation":false,"usgs":false,"family":"Kulp","given":"Matt","email":"","middleInitial":"A.","affiliations":[{"id":35484,"text":"National Park Service, Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":829942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pregler, K. 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Casey","contributorId":270747,"corporation":false,"usgs":false,"family":"Weathers","given":"T. Casey","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":829952,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sell, Matthew T.","contributorId":261510,"corporation":false,"usgs":false,"family":"Sell","given":"Matthew","email":"","middleInitial":"T.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":829953,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rabern, Anthony","contributorId":270748,"corporation":false,"usgs":false,"family":"Rabern","given":"Anthony","email":"","affiliations":[{"id":56207,"text":"GA Dept Natural Resources","active":true,"usgs":false}],"preferred":false,"id":829954,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rankin, Dan","contributorId":270749,"corporation":false,"usgs":false,"family":"Rankin","given":"Dan","email":"","affiliations":[{"id":56208,"text":"SC Dept Natural Resources","active":true,"usgs":false}],"preferred":false,"id":829955,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"King, Tim L.","contributorId":236903,"corporation":false,"usgs":false,"family":"King","given":"Tim L.","affiliations":[],"preferred":false,"id":829956,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70229087,"text":"70229087 - 2022 - Defining aquatic habitat zones across northern Gulf of Mexico estuarine gradients through submerged aquatic vegetation species assemblage and biomass data","interactions":[],"lastModifiedDate":"2022-02-28T14:44:11.931261","indexId":"70229087","displayToPublicDate":"2021-10-03T08:37:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Defining aquatic habitat zones across northern Gulf of Mexico estuarine gradients through submerged aquatic vegetation species assemblage and biomass data","docAbstract":"

Submerged aquatic vegetation (SAV) creates highly productive habitats in coastal areas, providing support for many important species of fish and wildlife. Despite the importance and documented loss of SAV across fresh to marine habitats globally, we lack consistent baseline data on estuarine SAV resources, particularly in the northern Gulf of Mexico (NGOM) estuaries. To understand SAV distribution in the NGOM, SAV biomass and species identity were collected at 384 sites inter-annually (June–September; 2013–2015) from Mobile Bay, Alabama, to San Antonio Bay, Texas, USA. Coastwide, SAV distribution and biomass were consistent across years, covering an estimated 87,000 ha, and supporting approximately 16 ± 1% total cover with an average biomass of 24.5 ± 1.9 g m−2. Differences in hydrology (i.e., precipitation, freshwater input, water depth) and exposure (i.e., wave and wind energy) manifested in unique SAV assemblages and biomass distributions across the region (i.e., Coastal Mississippi-Alabama, Mississippi River Coastal Wetlands, Chenier Plain, Texas Mid-Coast) and estuarine gradient (i.e., marsh zones defined as fresh, intermediate, brackish, saline). Descriptive cluster analyses identified indicator SAV species, known as medoid observations that represented combined salinity, turbidity, and depth conditions unique to different region and marsh zone combinations. While the presence of SAV is often used as an indicator of ecological health, identifying a medoid-based SAV indicator species in aquatic habitats can be used to describe estuarine conditions in more detail and develop aquatic habitat zones. Exploration and the use of this type of field data could be developed as a means to track, manage, and define aquatic habitats across regional and estuarine gradients and further develop ecosystem-based assessment and restoration activities. Identifying aquatic zones through a representative medoid associates SAV species with locations defined by both long-term salinity and salinity variability, water depth, and exposure, which is a powerful potential tool for managers and restoration decision-makers.

","language":"English","publisher":"Springer Link","doi":"10.1007/s12237-021-00958-7","usgsCitation":"DeMarco, K., Hillmann, E., Nyman, J.A., Couvillion, B., and La Peyre, M., 2022, Defining aquatic habitat zones across northern Gulf of Mexico estuarine gradients through submerged aquatic vegetation species assemblage and biomass data: Estuaries and Coasts, v. 45, p. 148-167, https://doi.org/10.1007/s12237-021-00958-7.","productDescription":"20 p.","startPage":"148","endPage":"167","ipdsId":"IP-121908","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":500008,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/agrnr_pubs/598","text":"External Repository"},{"id":396544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Louisiana, Mississippi, Texas","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.822265625,\n 26.60817437403311\n ],\n [\n -87.47314453125,\n 26.60817437403311\n ],\n [\n -87.47314453125,\n 31.034108344903512\n ],\n [\n -97.822265625,\n 31.034108344903512\n ],\n [\n -97.822265625,\n 26.60817437403311\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2021-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"DeMarco, K. E.","contributorId":287038,"corporation":false,"usgs":false,"family":"DeMarco","given":"K. E.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":836446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hillmann, E. R.","contributorId":287039,"corporation":false,"usgs":false,"family":"Hillmann","given":"E. R.","affiliations":[{"id":28058,"text":"Southeastern Louisiana University","active":true,"usgs":false}],"preferred":false,"id":836447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nyman, J. A.","contributorId":275213,"corporation":false,"usgs":false,"family":"Nyman","given":"J.","email":"","middleInitial":"A.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":836449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Couvillion, Brady 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":222810,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":836448,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836450,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226957,"text":"70226957 - 2022 - Estimating urban air pollution contribution to South Platte River nitrogen loads with National Atmospheric Deposition Program data and SPARROW model","interactions":[],"lastModifiedDate":"2021-12-22T13:00:51.139878","indexId":"70226957","displayToPublicDate":"2021-10-01T06:57:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating urban air pollution contribution to South Platte River nitrogen loads with National Atmospheric Deposition Program data and SPARROW model","docAbstract":"

Air pollution is commonly disregarded as a source of nutrient loading to impaired surface waters managed under the Clean Water Act per states’ 303(d) list programs. The contribution of air pollution to 2017–2018 South Platte River nitrogen (N) loads was estimated from the headwaters to the gage at Weldona, Colorado, USA (100 km downstream of Denver), using data from the National Atmospheric Deposition Program (NADP) and the SPAtially Referenced Regressions On Watershed attributes (SPARROW) model. The NADP offers wet-deposition raster created by spatial interpolation of data collected from regionally representative monitoring sites, excluding the influences from urban site data. For this study, NADP wet-deposition data obtained from sites within the Denver-Boulder, Colorado, urban corridor were included and excluded in new spatial interpolations of wet-deposition raster, which were used as input for SPARROW to model the influence of urban air pollution sources on South Platte River loads. Because urban air pollution is already incorporated into the NADP Total Deposition modeling methodology, dry N deposition was held constant for each SPARROW modeling scenario when dry deposition was included. By including the urban wet-deposition data in the model, estimated N loading to the South Platte River at Denver increased by 9–11 percent. Factoring in dry deposition at a 1:1.8 dry:wet ratio obtained from the results, urban air pollution was estimated to contribute as much as 20 percent of the nitrate Total Maximum Daily Load for Segment 14 of the South Platte River.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2021.113861","usgsCitation":"Wetherbee, G.A., Wieczorek, M., Robertson, D., Saad, D., Novick, J., and Mast, M.A., 2022, Estimating urban air pollution contribution to South Platte River nitrogen loads with National Atmospheric Deposition Program data and SPARROW model: Journal of Environmental Management, v. 301, 113861, 10 p., https://doi.org/10.1016/j.jenvman.2021.113861.","productDescription":"113861, 10 p.","ipdsId":"IP-124807","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":436052,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UP346K","text":"USGS data release","linkHelpText":"Water-quality and stream discharge data for estimation of nitrogen loads in the South Platte River, Denver, CO, 2017-2018"},{"id":393295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"South Platte River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.4462890625,\n 39.027718840211605\n ],\n [\n -103.7548828125,\n 39.027718840211605\n ],\n [\n -103.7548828125,\n 40.94671366508002\n ],\n [\n -107.4462890625,\n 40.94671366508002\n ],\n [\n -107.4462890625,\n 39.027718840211605\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"301","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":215100,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"","middleInitial":"A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":828928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wieczorek, Michael 0000-0003-0999-5457","orcid":"https://orcid.org/0000-0003-0999-5457","contributorId":207911,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":828930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saad, David A. 0000-0001-6559-6181","orcid":"https://orcid.org/0000-0001-6559-6181","contributorId":217251,"corporation":false,"usgs":true,"family":"Saad","given":"David A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Novick, Jon 0000-0002-5483-8509","orcid":"https://orcid.org/0000-0002-5483-8509","contributorId":270287,"corporation":false,"usgs":false,"family":"Novick","given":"Jon","email":"","affiliations":[{"id":56134,"text":"Denver Dept. Public Health and Environment","active":true,"usgs":false}],"preferred":false,"id":828932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828933,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70229759,"text":"70229759 - 2022 - Quantifying the spatial structure of invasive lake trout in Yellowstone Lake to improve suppression efficacy","interactions":[],"lastModifiedDate":"2022-03-17T16:33:54.217693","indexId":"70229759","displayToPublicDate":"2021-09-30T11:29:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the spatial structure of invasive lake trout in Yellowstone Lake to improve suppression efficacy","docAbstract":"

Invasive Lake Trout Salvelinus namaycush have altered the once-pristine Yellowstone Lake ecosystem through top-down effects by consuming Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri. To conserve Yellowstone Cutthroat Trout and restore the ecosystem, a Lake Trout gillnetting program was implemented to suppress the invasive population. We evaluated the spatial structure of Lake Trout in Yellowstone Lake with the intent of increasing suppression efficiency. Specifically, we addressed questions related to adult Lake Trout aggregation and movement during summer and autumn (spawning) periods and how Lake Trout used locations in the context of suppression efforts. We tracked 373 Lake Trout (>500 mm TL) during the summer and autumn of 2016 and 2017. Based on kernel density estimates, Lake Trout were highly aggregated at 9 locations during summer and 22 locations during the spawning period. Using a novel metric, individual days (product of mean individuals per survey and mean length of stay), five summer locations and five spawning locations had at least 30 individual days. These locations are suggested as priority areas for targeting Lake Trout suppression. Lake Trout were less aggregated and moved less during the summer, making them less vulnerable to a passive gear in the summer than during the autumn spawning period. Lake Trout exhibited low spawning site fidelity compared to populations elsewhere, possibly due to decades of intensive gill netting at spawning locations. Given the aggregation and movement patterns observed in Yellowstone Lake, continuing to target adult Lake Trout during the spawning period is the most cost-effective approach to Lake Trout suppression.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10712","usgsCitation":"Williams, J.R., Guy, C.S., Bigelow, P.E., and Koel, T., 2022, Quantifying the spatial structure of invasive lake trout in Yellowstone Lake to improve suppression efficacy: North American Journal of Fisheries Management, v. 42, no. 1, p. 50-62, https://doi.org/10.1002/nafm.10712.","productDescription":"13 p.","startPage":"50","endPage":"62","ipdsId":"IP-127835","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449687,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/15150","text":"External Repository"},{"id":397259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.58700561523436,\n 44.27765451038982\n ],\n [\n -110.159912109375,\n 44.27765451038982\n ],\n [\n -110.159912109375,\n 44.581664700316146\n ],\n [\n -110.58700561523436,\n 44.581664700316146\n ],\n [\n -110.58700561523436,\n 44.27765451038982\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Jacob R.","contributorId":288679,"corporation":false,"usgs":false,"family":"Williams","given":"Jacob","email":"","middleInitial":"R.","affiliations":[{"id":61825,"text":"Montana Fish","active":true,"usgs":false}],"preferred":false,"id":838215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":838214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bigelow, Patricia E.","contributorId":288680,"corporation":false,"usgs":false,"family":"Bigelow","given":"Patricia","email":"","middleInitial":"E.","affiliations":[{"id":36976,"text":"U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":838216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koel, Todd M.","contributorId":288681,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":838217,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70225571,"text":"70225571 - 2022 - Sampling design workflows and tools to support adaptive monitoring and management","interactions":[],"lastModifiedDate":"2022-03-15T16:05:06.528066","indexId":"70225571","displayToPublicDate":"2021-09-30T05:43:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Sampling design workflows and tools to support adaptive monitoring and management","docAbstract":"

On the Ground
• Adaptive land management requires monitoring of resource conditions, which requires choices about where and when to monitor a landscape.

• Designing a sampling design for a monitoring program can be broken down in to eight steps: identifying questions, defining objectives, selecting reporting units, deciding data collection methods, defining the sample frame, selecting an appropriate design type, deciding stratification and allocation, and identifying the required sampling effort.

• Here, we provide descriptions of each step in the process and identify tools and resources to complete each step.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rala.2021.08.005","usgsCitation":"Stauffer, N.G., Duniway, M.C., Karl, J.W., and Nauman, T.W., 2022, Sampling design workflows and tools to support adaptive monitoring and management: Rangelands, v. 44, no. 1, p. 8-16, https://doi.org/10.1016/j.rala.2021.08.005.","productDescription":"9 p.","startPage":"8","endPage":"16","ipdsId":"IP-125327","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":449689,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rala.2021.08.005","text":"Publisher Index Page"},{"id":390944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stauffer, Nelson G.","contributorId":267942,"corporation":false,"usgs":false,"family":"Stauffer","given":"Nelson","email":"","middleInitial":"G.","affiliations":[{"id":55531,"text":"United States Department of Agriculture, Agricultural Research Service, Jornada Experimental Range, Las Cruces, NM, USA","active":true,"usgs":false}],"preferred":false,"id":825648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":825649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karl, Jason W.","contributorId":191703,"corporation":false,"usgs":false,"family":"Karl","given":"Jason","email":"","middleInitial":"W.","affiliations":[{"id":7045,"text":"USDA-ARS Jornada Experimental Range ","active":true,"usgs":false}],"preferred":false,"id":825650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nauman, Travis W. 0000-0001-8004-0608 tnauman@usgs.gov","orcid":"https://orcid.org/0000-0001-8004-0608","contributorId":169241,"corporation":false,"usgs":true,"family":"Nauman","given":"Travis","email":"tnauman@usgs.gov","middleInitial":"W.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":825651,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70226171,"text":"70226171 - 2022 - Populations using public-supply groundwater in the conterminous U.S. 2010; Identifying the wells, hydrogeologic regions, and hydrogeologic mapping units","interactions":[],"lastModifiedDate":"2021-11-16T13:07:12.267368","indexId":"70226171","displayToPublicDate":"2021-09-28T07:04:59","publicationYear":"2022","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":"Populations using public-supply groundwater in the conterminous U.S. 2010; Identifying the wells, hydrogeologic regions, and hydrogeologic mapping units","docAbstract":"

Most Americans receive their drinking water from publicly supplied sources, a large portion of it from groundwater. Mapping these populations consistently and at a high resolution is important for understanding where the resource is used and needs to be protected. The results show that 269 million people are supplied by public supply, 107 million are supplied by groundwater and 162 million are supplied by surface water. The population using public supply drinking water was mapped in two ways: the census enhanced method (CEM) evenly distributes the population across populated census blocks, and the urban land-use enhanced method (ULUEM) distributes the population only to certain urban land use designations. In addition, a two-dimensional polygon dataset was created for the conterminous U.S. that identifies 177 unique Hydrogeologic Mapping Units (HMUs) with similar hydrogeologic characteristics. The HMUs do not overlap, but they can delineate areas where stacked hydrogeologic regions (HRs) contribute drinking water from below the surface. HRs are waterbearing geologic regions identified as either a principal aquifers (PA) or secondary hydrogeologic regions (SHR). Within each HMU, the wells were used to determine the proportion of each HR that is providing groundwater to the HMU. In 63% of the HMUs, a single HR is providing water to the public supply wells located within it, while the rest of the HMUs show that the wells are tapping up to a maximum of four stacked HRs. In total, groundwater from 108 HRs provide drinking water for public supply, six of which provide more than 50% of the groundwater used for public supply drinking water. The aquifer serving the largest number of equivalent people (>17 million) is the glacial aquifer. The HR providing the greatest number of people per km2 is the Biscayne aquifer in Florida at nearly 453 people per km2.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.150618","usgsCitation":"Johnson, T., Belitz, K., Kauffman, L.J., Watson, E., and Wilson, J.T., 2022, Populations using public-supply groundwater in the conterminous U.S. 2010; Identifying the wells, hydrogeologic regions, and hydrogeologic mapping units: Science of the Total Environment, v. 806, no. 2, 150618, 15 p., https://doi.org/10.1016/j.scitotenv.2021.150618.","productDescription":"150618, 15 p.","ipdsId":"IP-122533","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":449692,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.150618","text":"Publisher 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Division","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauffman, Leon J. 0000-0003-4564-0362","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":206428,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","email":"","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watson, Elise 0000-0003-2213-4707","orcid":"https://orcid.org/0000-0003-2213-4707","contributorId":206381,"corporation":false,"usgs":true,"family":"Watson","given":"Elise","email":"","affiliations":[{"id":154,"text":"California Water Science 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cyanellus)","interactions":[],"lastModifiedDate":"2022-03-16T14:43:54.375727","indexId":"70229724","displayToPublicDate":"2021-09-27T09:35:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":853,"text":"Aquaculture","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Development of aquaculture protocols and gonadal differentiation of green sunfish (Lepomis cyanellus)","title":"Development of aquaculture protocols and gonadal differentiation of green sunfish (Lepomis cyanellus)","docAbstract":"

We provide detailed rearing methods and describe green sunfish (Lepomis cyanellus) gonadal development and histological differentiation for both sexes. Developing in-depth aquaculture protocols and describing the gonadal differentiation of green sunfish could facilitate strategies to control nuisance populations, enhance stocking programs, and provide information for this species' use in bioassay trials or toxicology studies. Our methods resulted in consistent year-round production of green sunfish and allowed us to identify the timing of their gonadal differentiation through histological assessment. Our spawning methods provided year-round volitional spawns from green sunfish broodstock. Our rearing methods involved weaning larval green sunfish off live nauplii and onto only artificial diets by 37 days post-hatch (dph). Most of the offspring generation reached sexual maturity by 213 dph. Green sunfish are gonochoristic, with testes and ovaries differentiating directly from undifferentiated gonads. Ovaries begin to differentiate by 39 dph and testes begin to differentiate by 69 dph. This information can provide biologists consistent means to produce this Centrachid and understand their gonadal development.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquaculture.2021.737515","usgsCitation":"Teal, C., Schill, D., Fogelson, S.B., Roberts, C.M., Fitzsimmons, K., and Bonar, S.A., 2022, Development of aquaculture protocols and gonadal differentiation of green sunfish (Lepomis cyanellus): Aquaculture, v. 547, 737515, 10 p., https://doi.org/10.1016/j.aquaculture.2021.737515.","productDescription":"737515, 10 p.","ipdsId":"IP-130691","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":397151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"547","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Teal, Chad N.","contributorId":288576,"corporation":false,"usgs":false,"family":"Teal","given":"Chad N.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":838102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schill, Daniel J.","contributorId":288577,"corporation":false,"usgs":false,"family":"Schill","given":"Daniel J.","affiliations":[{"id":61802,"text":"Fisheries Management Solutions","active":true,"usgs":false}],"preferred":false,"id":838103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fogelson, Susan B.","contributorId":288578,"corporation":false,"usgs":false,"family":"Fogelson","given":"Susan","email":"","middleInitial":"B.","affiliations":[{"id":61804,"text":"Fishhead Labs","active":true,"usgs":false}],"preferred":false,"id":838104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Colby M.","contributorId":288579,"corporation":false,"usgs":false,"family":"Roberts","given":"Colby","email":"","middleInitial":"M.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":838105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzsimmons, Kevin","contributorId":288580,"corporation":false,"usgs":false,"family":"Fitzsimmons","given":"Kevin","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":838106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":838101,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70231621,"text":"70231621 - 2022 - Improved fire severity mapping in the North American boreal forest using a hybrid composite method","interactions":[],"lastModifiedDate":"2022-05-18T13:50:20.667432","indexId":"70231621","displayToPublicDate":"2021-09-27T08:56:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5347,"text":"Remote Sensing in Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Improved fire severity mapping in the North American boreal forest using a hybrid composite method","docAbstract":"

Fire severity is a key driver shaping the ecological structure and function of North American boreal ecosystems, a biome dominated by large, high-intensity wildfires. Satellite-derived burn severity maps have been an important tool in these remote landscapes for both fire and resource management. The conventional methodology to produce satellite-inferred fire severity maps generally involves comparing imagery from 1 year before and 1 year after a fire, yet environmental conditions unique to the boreal have limited the accuracy of resulting products. We introduce an alternative method – the ‘hybrid composite’ – based on deriving mean severity over time on a per-pixel basis within the cloud-computing environment of Google Earth Engine. It constructs the post-fire image from satellite data composited from all valid images (i.e., clear-sky and snow-free) acquired in the time period immediately after fire through the early growing season of the following year. We compare this approach to paired-scene and composite approaches where the post-fire time period is from the growing season 1 year after fire. Validation statistics based on field-derived data for 52 fires across Alaska and Canada indicate that the hybrid composite method outperforms the other approaches. This approach presents an efficient and cost-effective means to monitor and explore trends and patterns across broad spatial domains, and could be applied to fires in other regions, especially those with frequent cloud cover or rapid vegetation recovery.

","language":"English","publisher":"Zoological Society of London","doi":"10.1002/rse2.238","usgsCitation":"Holsinger, L.M., Parks, S., Saperstein, L., Loehman, R.A., Whitman, E., Barnes, J.L., and Parisien, M., 2022, Improved fire severity mapping in the North American boreal forest using a hybrid composite method: Remote Sensing in Ecology and Conservation, v. 8, no. 2, p. 222-235, https://doi.org/10.1002/rse2.238.","productDescription":"14 p.","startPage":"222","endPage":"235","ipdsId":"IP-129945","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":449694,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.238","text":"Publisher Index Page"},{"id":400697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n 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Searching for evidence of potentially coseismic mass wasting is incredibly difficult, particularly when historical observations are limited. Landslide-dammed lakes with submerged “ghost forests” in the Oregon Coast Range present the unique opportunity to establish landslide chronologies with subannual accuracy when dendrochronology is applied. This field guide will visit the unique landslide-dammed Klickitat Lake and explore a drowned ‘ghost forest’ to discuss methods used to establish a prehistoric landslide chronology in western Oregon, USA. After exploring the lake and exposing its geomorphic secrets, the guide will end with a stop on Marys Peak, a mafic volcanic intrusion composed of gabbroic dikes and pillow basalt that forms the highest point in the Oregon Coast Range. With the landscape of western Oregon laid out before us, we will discuss short- and long-term geomorphic evolution of the Oregon Coast Range and Willamette Valley.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"GSA field guide: From terranes to terrains: Geologic field guides on the construction and destruction of the Pacific Northwest","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"GSA Connects 2021","conferenceDate":"2021","conferenceLocation":"Portland, Oregon, United States","language":"English","publisher":"Geological Society of America","doi":"10.1130/2021.0062(01)","usgsCitation":"Wetherell, L., Struble, W., and LaHusen, S.R., 2022, Developing landslide chronologies using landslide-dammed lakes in the Oregon Coast Range, chap. 1 of GSA field guide: From terranes to terrains: Geologic field guides on the construction and destruction of the Pacific Northwest: Geological Society of America Field Guides, v. 62, p. 1-18, https://doi.org/10.1130/2021.0062(01).","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-129899","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":404994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Coast Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.04663085937499,\n 46.27863122156088\n ],\n [\n -124.09057617187499,\n 45.54483149242463\n ],\n [\n -124.068603515625,\n 45.32897866218559\n ],\n [\n -124.27734374999999,\n 44.24519901522129\n ],\n [\n -124.23339843749999,\n 43.98491011404692\n ],\n [\n -124.46411132812499,\n 43.34116005412307\n ],\n [\n -124.56298828125001,\n 43.068887774169625\n ],\n [\n -124.68383789062499,\n 42.87596410238256\n ],\n [\n -124.51904296875,\n 42.58544425738491\n ],\n [\n -124.486083984375,\n 42.16340342422401\n ],\n [\n -124.26635742187501,\n 42.00032514831621\n ],\n [\n -122.25585937500001,\n 42.00848901572399\n ],\n [\n -122.23388671874999,\n 45.57560020947802\n ],\n [\n -122.58544921875,\n 45.583289756006316\n ],\n [\n -122.684326171875,\n 45.65244828675087\n ],\n [\n -122.73925781250001,\n 45.767522962149876\n ],\n [\n -122.86010742187499,\n 46.07323062540835\n ],\n [\n -123.101806640625,\n 46.20264638061019\n ],\n [\n -123.277587890625,\n 46.172222978455395\n ],\n [\n -123.49731445312499,\n 46.27103747280261\n ],\n [\n -124.04663085937499,\n 46.27863122156088\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Booth, Adam M. 0000-0002-7339-0594","orcid":"https://orcid.org/0000-0002-7339-0594","contributorId":241907,"corporation":false,"usgs":false,"family":"Booth","given":"Adam","email":"","middleInitial":"M.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":848668,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Grunder, Anita L.","contributorId":194549,"corporation":false,"usgs":false,"family":"Grunder","given":"Anita","middleInitial":"L.","affiliations":[],"preferred":false,"id":848669,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Wetherell, Logan 0000-0002-6716-3790","orcid":"https://orcid.org/0000-0002-6716-3790","contributorId":294676,"corporation":false,"usgs":false,"family":"Wetherell","given":"Logan","email":"","affiliations":[{"id":26935,"text":"Central Washington University","active":true,"usgs":false}],"preferred":false,"id":848566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Struble, William 0000-0002-8163-5088","orcid":"https://orcid.org/0000-0002-8163-5088","contributorId":241913,"corporation":false,"usgs":false,"family":"Struble","given":"William","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":848567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaHusen, Sean Richard 0000-0003-4246-4439","orcid":"https://orcid.org/0000-0003-4246-4439","contributorId":294677,"corporation":false,"usgs":true,"family":"LaHusen","given":"Sean","email":"","middleInitial":"Richard","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":848568,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256758,"text":"70256758 - 2022 - Lake sturgeon seasonal movements in regulated and unregulated Missouri River tributaries","interactions":[],"lastModifiedDate":"2024-09-04T16:29:24.600175","indexId":"70256758","displayToPublicDate":"2021-09-23T11:27:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Lake sturgeon seasonal movements in regulated and unregulated Missouri River tributaries","docAbstract":"

Spatio-temporal movement patterns of aquatic organisms drive many ecological processes. However, dams block migrations and alter the hydrologic and thermal regimes influencing movement behaviour of freshwater fishes. In North America, many recovering southern Lake Sturgeon populations occur in rivers with hydroelectric dams, but few studies have examined the impact of hydrologic alteration on their seasonal movements. We conducted a 3-year telemetry study of 96 adult and subadult Lake Sturgeon to compare their migratory responses to temperature and hydrology in adjacent regulated and unregulated tributaries of the Missouri River. Many other populations of Lake Sturgeon use tributaries primarily for spring spawning; however, in our study, Lake Sturgeon used Missouri River tributaries during 78% of the year. Differences in river size, hydrologic and thermal regimes in the regulated Osage River may have contributed to the greater year-round residency, later initiation, more frequent directional changes and longer duration of spring migrations compared to the unregulated Gasconade River. Lake Sturgeon made spring upstream migrations at temperatures of 13–19°C and elevated discharges in both rivers. However, Osage River migrants responded less to changes in discharge or temperature during spring migrations, especially those that overwintered at upstream locations. Fall tributary migrations occurred in the Osage River at rising or high discharges but were uncommon in the Gasconade River. Our identification of the influences of abiotic variables on the timing, duration and extent of Lake Sturgeon seasonal migrations can help guide management of habitat and hydrology in regulated rivers to recover migratory fishes globally.

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The Cascadia subduction zone in the Pacific Northwest of the United States of America capable of producing magnitude ∼9 earthquakes, likely often accompanied by tsunamis. An outstanding question in this region is the degree and spatial extent of interseismic strain accumulation on the subduction megathrust. Seafloor geodetic methods combining GNSS and underwater acoustic ranging (GNSS-A) are capable of imaging this strain accumulation on the offshore portion of the subduction zone and therefore anticipating the potential size and rupture pattern of a future earthquake. However, the high cost of seafloor geodesy means that only a limited number of stations may be deployed and monitored. To facilitate expansion of current geodetic networks offshore, we develop a quantitative recommendation of optimal locations for future seafloor geodetic observations, based on the amount of new information provided by that observation. The optimal network depends on the problem that one is trying to solve with those observations (mapping subduction locking rates, coupling rates, constraining total moment rate, etc.), and on a number of modelling and data uncertainty assumptions. In particular, data uncertainty assumptions will change over time, as more position observations reduce velocity uncertainties. We find that near-trench observations on the megathrust hangingwall, distributed along-strike, consistently provide significant reduction in differential entropy over a large suite of assumptions, and that a well-placed seafloor observation can provide up to ∼30 times the information gain of the most optimal onshore observation.

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