{"pageNumber":"637","pageRowStart":"15900","pageSize":"25","recordCount":165244,"records":[{"id":70207455,"text":"70207455 - 2020 - Caribou use of habitat near energy development in Arctic Alaska","interactions":[],"lastModifiedDate":"2020-04-06T21:16:30.68736","indexId":"70207455","displayToPublicDate":"2019-12-18T14:44:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Caribou use of habitat near energy development in Arctic Alaska","docAbstract":"Increasing demands for energy have generated interest in expanding oil and gas production on the North Slope of Alaska, raising questions about the resilience of barren-ground caribou populations to new development. Although the amount of habitat lost directly to energy development in the Arctic will likely be relatively small, there are significant concerns about habitat that may be indirectly impacted due to caribou avoidance behaviors. Behavioral responses to energy development for wildlife have been well-documented, but such responses are often assumed to dissipate over time, despite scant information on the ability of animals to habituate. To understand the long-term effects of energy development on barren-ground caribou we investigated the behavior of the Central Arctic Herd in northern Alaska, which has been exposed to oil development on its summer range for approximately 40 years. Using recent (2015-2017) location data from GPS collared females, we conducted a zone of influence analysis to assess whether caribou reduced their use of habitat near energy development, and if so, the distance the effects attenuated. We conducted this analysis for the calving, post-calving and mosquito harassment periods when caribou exhibit distinct resource selection patterns, and contrasted our results to past research that investigated the responses of the Central Arctic Caribou Herd immediately following the construction of the oil fields. Despite the long-term presence of energy development within the Central Arctic Herd summer range, we found that female caribou exhibited avoidance responses to infrastructure during all time periods, although the effects waned across the summer. Caribou reduced their use of habitat within 5 km of development during the calving period, within 2 km during the post-calving period, and within 1 km during the mosquito harassment period, areas which were predicted to overlap 12%, 15% and 17% of important calving, post-calving, and mosquito habitat areas, respectively. During the calving period, the indirect effects we observed were similar to those observed in past research, whereas during the post-calving and mosquito periods, we detected avoidance responses which had not been previously reported. These findings corroborate a growing body of evidence suggesting that habituation to industrial development in Arctic caribou is likely to be weak or absent, and emphasizes the value of minimizing the footprint of infrastructure within important seasonal habitat areas to reduce behavioral impacts to barren-ground caribou.","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21809","usgsCitation":"Johnson, H.E., Golden, T., Adams, L., Gustine, D., and Lenart, E.A., 2020, Caribou use of habitat near energy development in Arctic Alaska: Journal of Wildlife Management, v. 84, no. 3, p. 401-412, https://doi.org/10.1002/jwmg.21809.","productDescription":"12 p.","startPage":"401","endPage":"412","ipdsId":"IP-108741","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":458345,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21809","text":"Publisher Index Page"},{"id":370513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -164.53125,\n              67.33986082559095\n            ],\n            [\n              -140.9765625,\n              67.33986082559095\n            ],\n            [\n              -140.9765625,\n              71.35706654962706\n            ],\n            [\n              -164.53125,\n              71.35706654962706\n            ],\n            [\n              -164.53125,\n              67.33986082559095\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":778113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golden, Trevor","contributorId":221421,"corporation":false,"usgs":false,"family":"Golden","given":"Trevor","affiliations":[{"id":40372,"text":"Axiom Data Science (formerly with USGS)","active":true,"usgs":false}],"preferred":false,"id":778114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":778115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gustine, David","contributorId":200449,"corporation":false,"usgs":false,"family":"Gustine","given":"David","affiliations":[],"preferred":false,"id":778116,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lenart, Elizabeth A.","contributorId":209732,"corporation":false,"usgs":false,"family":"Lenart","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":778117,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231750,"text":"70231750 - 2020 - An assessment of the representation of ecosystems in global protected areas using new maps of World Climate Regions and World Ecosystems","interactions":[],"lastModifiedDate":"2022-05-26T10:55:38.004661","indexId":"70231750","displayToPublicDate":"2019-12-18T10:19:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of the representation of ecosystems in global protected areas using new maps of World Climate Regions and World Ecosystems","docAbstract":"<p>Representation of ecosystems in protected area networks and conservation strategies is a core principle of global conservation priority setting approaches and a commitment in Aichi Target 11 of the Convention on Biological Diversity. The 2030 Sustainable Development Goals (SDGs) explicitly call for the conservation of terrestrial, freshwater, and marine ecosystems. Accurate ecosystem distribution maps are required to assess representation of ecosystems in protected areas, but standardized, high spatial resolution, and globally comprehensive ecosystem maps have heretofore been lacking. While macroscale global ecoregions maps have been used in global conservation priority setting exercises, they do not identify distinct localized ecosystems at the occurrence (patch) level, and instead describe large ecologically meaningful areas within which additional conservation planning and management are necessary. We describe a new set of maps of globally consistent climate regions and ecosystems at a much finer spatial resolution (250 m) than existing ecological regionalizations. We then describe a global gap analysis of the representation of these ecosystems in protected areas. The new map of terrestrial World Ecosystems was derived from the objective development and integration of 1) global temperature domains, 2) global moisture domains, 3) global landforms, and 4) 2015 global vegetation and land use. These new terrestrial World Ecosystems do not include either freshwater or marine ecosystems, but analog products for the freshwater and marine domains are in development. A total of 431 World Ecosystems were identified, and of these a total of 278 units were natural or semi-natural vegetation/environment combinations, including different kinds of forestlands, shrublands, grasslands, bare areas, and ice/snow regions. The remaining classes were different kinds of croplands and settlements. Of the 278 natural and semi-natural classes, 9 were not represented in global protected areas with a strict biodiversity conservation management objective (IUCN management categories I-IV), and an additional 206 were less than 8.5% protected (half way to the 17% Aichi Target 11 goal). Forty four classes were between 8.5% and 17% protected (more than half way towards the Aichi 17% target), and only 19 classes exceeded the 17% Aichi target. However, when all protected areas (IUCN management categories I-VI plus protected areas with no IUCN designation) were included in a separate global gap analysis, representation of ecosystems increases substantially, with a third of the ecosystems exceeding the 17% Aichi target, and another third between 8.5% and 17%. The overall protection (representation) of global ecosystems in protected areas is considerably less when assessed using only strictly conserved protected areas, and more if all protected areas are included in the analysis. Protected area effectiveness should be included in further evaluations of global ecosystem protection. The ecosystems with the highest representation in protected areas were often bare or sparsely vegetated and found in inhospitable environments (e.g. cold mountains, deserts), and the eight most protected ecosystems were all snow and ice ecosystems. In addition to the global gap analysis of World Ecosystems in protected areas, we report on the representation results for the ecosystems in each biogeographic realm (Neotropical, Nearctic, Afrotropical, Palearctic, Indomalayan, Australasian, and Oceania).</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2019.e00860","usgsCitation":"Sayre, R., Karagulle, D., Frye, C., Boucher, T., Wolff, N., Breyer, S., Wright, D., Martin, M.T., Butler, K., Van Graafeiland, K., Touval, J., Sotomayor, L., McGowan, J., Game, E.T., and Possingham, H.P., 2020, An assessment of the representation of ecosystems in global protected areas using new maps of World Climate Regions and World Ecosystems: Global Ecology and Conservation, v. 21, e00860, 21 p., https://doi.org/10.1016/j.gecco.2019.e00860.","productDescription":"e00860, 21 p.","ipdsId":"IP-114088","costCenters":[{"id":5055,"text":"Land Change 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Change","active":true,"usgs":true}],"preferred":true,"id":843628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karagulle, Deniz","contributorId":267719,"corporation":false,"usgs":false,"family":"Karagulle","given":"Deniz","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":843629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frye, Charlie","contributorId":267718,"corporation":false,"usgs":false,"family":"Frye","given":"Charlie","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":843630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boucher, Timothy","contributorId":175005,"corporation":false,"usgs":false,"family":"Boucher","given":"Timothy","email":"","affiliations":[],"preferred":false,"id":843631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolff, Nicholas","contributorId":146719,"corporation":false,"usgs":false,"family":"Wolff","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":843632,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breyer, Sean","contributorId":267716,"corporation":false,"usgs":false,"family":"Breyer","given":"Sean","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":843633,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, Dawn","contributorId":200268,"corporation":false,"usgs":false,"family":"Wright","given":"Dawn","affiliations":[],"preferred":false,"id":843634,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martin, Madeline T. 0000-0002-2704-1879","orcid":"https://orcid.org/0000-0002-2704-1879","contributorId":261694,"corporation":false,"usgs":true,"family":"Martin","given":"Madeline","email":"","middleInitial":"T.","affiliations":[{"id":5055,"text":"Land Change 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Leonardo","contributorId":292010,"corporation":false,"usgs":false,"family":"Sotomayor","given":"Leonardo","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":843639,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McGowan, Jennifer","contributorId":292011,"corporation":false,"usgs":false,"family":"McGowan","given":"Jennifer","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":843640,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Game, Edward T.","contributorId":16267,"corporation":false,"usgs":true,"family":"Game","given":"Edward","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":843641,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Possingham, Hugh P.","contributorId":20882,"corporation":false,"usgs":false,"family":"Possingham","given":"Hugh","email":"","middleInitial":"P.","affiliations":[{"id":12552,"text":"University of Queensland","active":true,"usgs":false}],"preferred":false,"id":843642,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70218766,"text":"70218766 - 2020 - Testing reproducibility of vitrinite and solid bitumen reflectance measurements in North American unconventional source-rock reservoir petroleum systems","interactions":[],"lastModifiedDate":"2021-03-12T14:30:22.076149","indexId":"70218766","displayToPublicDate":"2019-12-18T08:10:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Testing reproducibility of vitrinite and solid bitumen reflectance measurements in North American unconventional source-rock reservoir petroleum systems","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">An interlaboratory study (ILS) was conducted to test reproducibility of vitrinite and solid bitumen reflectance measurements in six mudrock samples from United States unconventional source-rock reservoir petroleum systems. Samples selected from the Marcellus, Haynesville, Eagle Ford, Barnett, Bakken and Woodford are representative of resource plays currently under exploitation in North America. All samples are from marine depositional environments, are thermally mature (T<sub>max</sub><span>&nbsp;</span>&gt;445&nbsp;°C) and have moderate to high organic matter content (2.9–11.6&nbsp;wt% TOC). Their organic matter is dominated by solid bitumen, which contains intraparticle nano-porosity. Visual evaluation of organic nano-porosity (pore sizes&nbsp;&lt;&nbsp;100&nbsp;nm) via SEM suggests that intraparticle organic nano-pores are most abundant in dry gas maturity samples and less abundant at lower wet gas/condensate and peak oil maturities. Samples were distributed to ILS participants in forty laboratories in the Americas, Europe, Africa and Australia; thirty-seven independent sets of results were received. Mean vitrinite reflectance (VR<sub>o</sub>) values from all ILS participants range from 0.90 to 1.83% whereas mean solid bitumen reflectance (BR<sub>o</sub>) values range from 0.85 to 2.04% (no outlying values excluded), confirming the thermally mature nature of all six samples. Using multiple statistical approaches to eliminate outlying values, we evaluated reproducibility limit R, the maximum difference between valid mean reflectance results obtained on the same sample by different operators in different laboratories using different instruments. Removal of outlying values where the individual signed multiple of standard deviation was &gt;1.0 produced lowest R values, generally ≤0.5% (absolute reflectance), similar to a prior ILS for similar samples. Other traditional approaches to outlier removal (outside mean&nbsp;±&nbsp;1.5*interquartile range and outside F10 to F90 percentile range) also produced similar R values. Standard deviation values&nbsp;&lt;&nbsp;0.15*(VR<sub>o</sub><span>&nbsp;</span>or BR<sub>o</sub>) reduce R and should be a requirement of dispersed organic matter reflectance analysis. After outlier removal, R values were 0.1%–0.2% for peak oil thermal maturity, about 0.3% for wet gas/condensate maturity and 0.4%–0.5% for dry gas maturity. That is, these R values represent the uncertainty (in absolute reflectance) that users of vitrinite and solid bitumen reflectance data should assign to any one individual reported mean reflectance value from a similar thermal maturity mudrock sample. R values of this magnitude indicate a need for further standardization of reflectance measurement of dispersed organic matter. Furthermore, these R values quantify realistic interlaboratory measurement dispersion for a difficult but critically important analytical technique necessary for thermal maturity determination in the source-rock reservoirs of unconventional petroleum systems.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2019.104172","usgsCitation":"Hackley, P.C., Araujo, C., Borrego, A.G., Bouzinos, A., Cardott, B.J., Carvajal-Ortiz, H., Rocio Lopez Cely, M., Chabalala, V., Crosdale, P.J., Demchuk, T.D., Eble, C.F., Flores, D., Furmann, A., Gentzis, T., Goncalves, P., Guvad, C., Hamor-Vido, M., Jelonek, I., Johnston, M., Juliao-Lemus, T., Kalaitzidis, S., Knowles, W., Kus, J., Li, Z., Macleod, G., Mastalerz, M., Rego Menezes, T., Ocubalidet, S., Orban, R., Pickel, W., Ranasinghe, P., Ribeiro, J., Gomez Rojas, O.P., Ruiz-Monroy, R., Schmidt, J., Seyedolali, A., Siavalas, G., Suarez-Ruiz, I., Vargas, C.V., Valentine, B.J., Wagner, N., Wrolson, B., and Jaramillo Zapata, J.E., 2020, Testing reproducibility of vitrinite and solid bitumen reflectance measurements in North American unconventional source-rock reservoir petroleum systems: Marine and Petroleum Geology, v. 114, 104172, 17 p., https://doi.org/10.1016/j.marpetgeo.2019.104172.","productDescription":"104172, 17 p.","ipdsId":"IP-108878","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":458350,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/10261/234395","text":"Publisher Index Page"},{"id":384351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":811751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Araujo, Carla V.","contributorId":255077,"corporation":false,"usgs":false,"family":"Araujo","given":"Carla V.","affiliations":[{"id":51408,"text":"Petrobras R&D Center, Brazil","active":true,"usgs":false}],"preferred":false,"id":811752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borrego, Angeles G.","contributorId":255080,"corporation":false,"usgs":false,"family":"Borrego","given":"Angeles","email":"","middleInitial":"G.","affiliations":[{"id":51413,"text":"Instituto Nacional del Carbon, Spain","active":true,"usgs":false}],"preferred":false,"id":812007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouzinos, Antonis","contributorId":255078,"corporation":false,"usgs":false,"family":"Bouzinos","given":"Antonis","affiliations":[{"id":51410,"text":"Measured Group Pty Ltd, Australia","active":true,"usgs":false}],"preferred":false,"id":812008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cardott, Brian J.","contributorId":255079,"corporation":false,"usgs":false,"family":"Cardott","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":51412,"text":"Oklahoma Geological Survey, USA","active":true,"usgs":false}],"preferred":false,"id":812009,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carvajal-Ortiz, H.","contributorId":243150,"corporation":false,"usgs":false,"family":"Carvajal-Ortiz","given":"H.","affiliations":[{"id":39779,"text":"Core 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,{"id":70216701,"text":"70216701 - 2020 - Traversing the wasteland: A framework for assessing ecological threats to drylands","interactions":[],"lastModifiedDate":"2020-12-01T13:26:38.240593","indexId":"70216701","displayToPublicDate":"2019-12-18T07:21:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Traversing the wasteland: A framework for assessing ecological threats to drylands","docAbstract":"<p class=\"chapter-para\">Drylands cover 41% of the Earth's terrestrial surface, play a critical role in global ecosystem function, and are home to over two billion people. Like other biomes, drylands face increasing pressure from global change, but many of these ecosystems are close to tipping points, which, if crossed, can lead to abrupt transitions and persistent degraded states. Their limited but variable precipitation, low soil fertility, and low productivity have given rise to a perception that drylands are wastelands, needing societal intervention to bring value to them. Negative perceptions of drylands synergistically combine with conflicting sociocultural values regarding what constitutes a threat to these ecosystems. In the present article, we propose a framework for assessing threats to dryland ecosystems and suggest we must also combat the negative perceptions of drylands in order to preserve the ecosystem services that they offer.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biz126","usgsCitation":"Hoover, D.L., Bestelmeyer, B.T., Grimm, N.B., Huxman, T.E., Reed, S.C., Sala, O.E., Seastedt, T., Wilmer, H., and Ferrenberg, S., 2020, Traversing the wasteland: A framework for assessing ecological threats to drylands: BioScience, v. 70, no. 1, p. 35-47, https://doi.org/10.1093/biosci/biz126.","productDescription":"13 p.","startPage":"35","endPage":"47","ipdsId":"IP-106918","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":458352,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biz126","text":"Publisher Index Page"},{"id":380904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","otherGeospatial":"Colorado Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.236328125,\n              33.94335994657882\n            ],\n            [\n              -105.46875,\n              33.94335994657882\n            ],\n            [\n              -105.46875,\n              39.977120098439634\n            ],\n            [\n              -112.236328125,\n              39.977120098439634\n            ],\n            [\n              -112.236328125,\n              33.94335994657882\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"70","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Hoover, David L. dlhoover@usgs.gov","contributorId":5843,"corporation":false,"usgs":true,"family":"Hoover","given":"David","email":"dlhoover@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":805946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bestelmeyer, Brandon T.","contributorId":26180,"corporation":false,"usgs":false,"family":"Bestelmeyer","given":"Brandon","email":"","middleInitial":"T.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; 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,{"id":70222059,"text":"70222059 - 2020 - Rapid early development and feeding benefits an invasive population of lake trout","interactions":[],"lastModifiedDate":"2021-07-15T21:35:18.04803","indexId":"70222059","displayToPublicDate":"2019-12-17T16:27:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Rapid early development and feeding benefits an invasive population of lake trout","docAbstract":"<p><span>Lake trout (</span><i>Salvelinus namaycush</i><span>) were discovered in Yellowstone Lake in 1994 and their population expanded dramatically despite intensive suppression. The lake is species-depauperate, with no major lake trout embryo predators. We hypothesized that without this predation threat, lake trout free embryo feeding and growth may be greater than in their native range, leading to increased survival of age-0 individuals and rapid population growth. We compared length, developmental rate, and feeding patterns of lake trout free embryos captured at a spawning site in Yellowstone Lake with free embryos captured in their native range in Lake Champlain, Vermont. More embryos were feeding, contained more food, and were significantly longer at the same developmental stages in Yellowstone Lake. With an abundance of available food and minimal threat of predation, free embryos remained on the spawning site in Yellowstone Lake later into the summer than in Lake Champlain and achieved a greater maximum length before they dispersed. Greater food consumption and associated growth likely leads to high survival of lake trout free embryos in Yellowstone Lake, contributing to rapid population growth.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2019-0122","usgsCitation":"Simard, L.G., Marsden, J., Gresswell, R.E., and Euclide, M., 2020, Rapid early development and feeding benefits an invasive population of lake trout: Canadian Journal of Fisheries and Aquatic Sciences, v. 77, no. 3, p. 496-504, https://doi.org/10.1139/cjfas-2019-0122.","productDescription":"9 p.","startPage":"496","endPage":"504","ipdsId":"IP-106159","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":501105,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/98728","text":"External 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of Vermont","active":true,"usgs":false}],"preferred":false,"id":819348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":152031,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":819349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Euclide, Megan","contributorId":222034,"corporation":false,"usgs":false,"family":"Euclide","given":"Megan","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":819350,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219115,"text":"70219115 - 2020 - Fault fictions: Systematic biases in the conceptualization of fault-zone architecture","interactions":[],"lastModifiedDate":"2021-03-24T12:30:48.087213","indexId":"70219115","displayToPublicDate":"2019-12-16T07:29:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5279,"text":"Special Publications","onlineIssn":"0149-1768","active":true,"publicationSubtype":{"id":10}},"title":"Fault fictions: Systematic biases in the conceptualization of fault-zone architecture","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\"><p id=\"p-1\">Mental models are a human's internal representation of the real world and have an important role in the way we understand and reason about uncertainties, explore potential options and make decisions. Mental models have not yet received much attention in geosciences, yet systematic biases can affect any geological investigation: from how the problem is conceived, through selection of appropriate hypotheses and data collection/processing methods, to the conceptualization and communication of results. We draw on findings from cognitive science and system dynamics, with knowledge and experiences of field geology, to consider the limitations and biases presented by mental models in geoscience, and their effect on predictions of the physical properties of faults in particular. We highlight biases specific to geological investigations and propose strategies for debiasing. Doing so will enhance how multiple data sources can be brought together, and minimize controllable geological uncertainty to develop more robust geological models. Critically, there is a need for standardized procedures that guard against biases, permitting data from multiple studies to be combined and communication of assumptions to be made. While we use faults to illustrate potential biases in mental models and the implications of these biases, our findings can be applied across the geosciences.</p></div>","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP496-2018-161","usgsCitation":"Shipton, Z.K., Roberts, J.J., L, C.E., Kremer, Y., Lunn, R.J., and Caine, J., 2020, Fault fictions: Systematic biases in the conceptualization of fault-zone architecture: Special Publications, v. 496, p. 125-143, https://doi.org/10.1144/SP496-2018-161.","productDescription":"19 p.","startPage":"125","endPage":"143","ipdsId":"IP-101941","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":458358,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://strathprints.strath.ac.uk/view/author/742207.html>","text":"External Repository"},{"id":384631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"496","noUsgsAuthors":false,"publicationDate":"2019-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Shipton, Zoe K 0000-0002-2268-7750","orcid":"https://orcid.org/0000-0002-2268-7750","contributorId":255721,"corporation":false,"usgs":false,"family":"Shipton","given":"Zoe","email":"","middleInitial":"K","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Jennifer J","contributorId":255722,"corporation":false,"usgs":false,"family":"Roberts","given":"Jennifer","email":"","middleInitial":"J","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"L, Comrie Emma","contributorId":255723,"corporation":false,"usgs":false,"family":"L","given":"Comrie","email":"","middleInitial":"Emma","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kremer, Yannick","contributorId":255724,"corporation":false,"usgs":false,"family":"Kremer","given":"Yannick","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lunn, Rebecca J","contributorId":255725,"corporation":false,"usgs":false,"family":"Lunn","given":"Rebecca","email":"","middleInitial":"J","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":812832,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208560,"text":"70208560 - 2020 - UAV-derived estimates of forest structure to inform ponderosa pine forest restoration","interactions":[],"lastModifiedDate":"2020-06-19T16:23:52.408024","indexId":"70208560","displayToPublicDate":"2019-12-16T06:54:21","publicationYear":"2020","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":"UAV-derived estimates of forest structure to inform ponderosa pine forest restoration","docAbstract":"<p><span>Restoring forest ecosystems has become an increasingly high priority for land managers across the American West. Millions of hectares of forest are in need of drastic yet strategic reductions in density (e.g., basal area). Meeting the restoration and management goals requires quantifying metrics of vertical and horizontal forest structure, which has relied upon field‐based measurements, manned airborne or satellite remote sensing datasets. We used unmanned aerial vehicle (UAV ) image‐derived Structure‐from‐Motion (SfM) models and high‐resolution multispectral orthoimagery in this study to quantify vertical and horizontal forest structure at both the fine‐ (&lt;4&nbsp;ha) and mid‐scales (4–400&nbsp;ha) across a forest density gradient. We then used these forest structure estimates to assess specific objectives of a forest restoration treatment. At the fine‐scale, we found that estimates of individual tree height and canopy diameter were most accurate in low‐density conditions, with accuracies degrading significantly in high‐density conditions. Mid‐scale estimates of canopy cover and forest density followed a similar pattern across the density gradient, demonstrating the effectiveness of UAV image‐derived estimates in low‐ to medium‐density conditions as well as the challenges associated with high‐density conditions. We found that post‐treatment conditions met a majority of the prescription objectives and demonstrate the UAV image application in quantifying changes from a mechanical thinning treatment. We provide a novel approach to forest restoration monitoring using UAV ‐derived data, one that considers varying density conditions and spatial scales. Future research should consider a more spatially extensive sampling design, including different restoration treatments, as well as experimenting with different combinations of equipment, flight parameters, and data processing workflows.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rse2.137","usgsCitation":"Belmonte, A., Sankey, T.T., Biederman, J.A., Bradford, J.B., Goetz, S.J., Kolb, T., and Woolley, T., 2020, UAV-derived estimates of forest structure to inform ponderosa pine forest restoration: Remote Sensing in Ecology and Conservation, v. 6, no. 2, p. 181-197, https://doi.org/10.1002/rse2.137.","productDescription":"17 p.","startPage":"181","endPage":"197","ipdsId":"IP-113835","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":458361,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.137","text":"Publisher Index Page"},{"id":372377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.150390625,\n              48.8936153614802\n            ],\n            [\n              -123.48632812499999,\n              49.1242192485914\n            ],\n            [\n              -123.22265625000001,\n              48.31242790407178\n            ],\n            [\n              -125.595703125,\n              48.42920055556841\n            ],\n            [\n              -124.76074218749999,\n              46.800059446787316\n            ],\n            [\n              -125.33203125,\n              41.77131167976407\n          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,{"id":70209440,"text":"70209440 - 2020 - Time scales of arsenic variability and the role of high-frequency monitoring at three water-supply wells in New Hampshire, USA","interactions":[],"lastModifiedDate":"2020-05-05T12:11:42.664539","indexId":"70209440","displayToPublicDate":"2019-12-14T19:51:48","publicationYear":"2020","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":"Time scales of arsenic variability and the role of high-frequency monitoring at three water-supply wells in New Hampshire, USA","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0055\">Groundwater geochemistry, redox process classification, high-frequency physicochemical and hydrologic measurements, and climate data were analyzed to identify controls on arsenic (As) concentration changes. Groundwater was monitored in two public-supply wells (one glacial aquifer and one bedrock aquifer), and one bedrock-aquifer domestic well in New Hampshire, USA, from 2014 to 2018 to identify time scales of and controls on As concentration changes. Concentrations of As and other geochemical constituents were measured bimonthly. Specific conductance (SC), pH, dissolved oxygen, and pumping rate/water level were measured at high frequency (every 5 to 15&nbsp;min). Median (and 95% confidence interval) As concentrations at the three wells were 4.1 (3.7–4.6), 18.9 (17.2–23.6), and 37.5 (30.4–42.9) μg/L. Arsenic variability in each of the three wells, in relative standard deviation, ranged from 9 to 12%. Median quarterly As concentrations were highest in all wells in the spring. The bedrock-aquifer public-supply well As concentration increased over the period of study while pumping rate decreased. In the public-supply wells, As variability was correlated with SC and pH, and As species were related to SC, pH, pumping, precipitation, and changes in redox process. Specific conductance also had a seasonal pattern in the two public-supply wells and was correlated with Na and Cl. Excess Na in water samples suggests possible ion exchange with dissolved Ca, creating more capacity to dissolve CaCO<sub>3</sub><span>&nbsp;</span>from calcareous rocks, which can increase pH and in turn, As concentrations in wells. High-frequency monitoring data are cost effective to collect, which could be advantageous in other parts of the United States and in the many parts of the world where glacial aquifers are in direct contact with other water supply aquifers or where water from different aquifers have potential to mix.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.135946","usgsCitation":"Degnan, J.R., Levitt, J.P., Erickson, M., Jurgens, B.C., Lindsey, B.D., and Ayotte, J.D., 2020, Time scales of arsenic variability and the role of high-frequency monitoring at three water-supply wells in New Hampshire, USA: Science of the Total Environment, v. 709, Report: 135946, 13 p.; Data Release, https://doi.org/10.1016/j.scitotenv.2019.135946.","productDescription":"Report: 135946, 13 p.; Data Release","ipdsId":"IP-107690","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":458363,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.135946","text":"Publisher Index Page"},{"id":437187,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9C2H7F4","text":"USGS data release","linkHelpText":"Data for Time Scales of Arsenic Variability and the Role of High-Frequency Monitoring at Three Water-Supply Wells in New Hampshire, USA"},{"id":373803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":373804,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/5d0a2c07e4b0e3d3115de4cb","text":"USGS data release","description":"USGS data release","linkHelpText":"Data for Time Scales of Arsenic Variability and the Role of High-Frequency Monitoring at Three Water-Supply Wells in New Hampshire, USA"}],"country":"United States","state":"New 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Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levitt, Joseph P. 0000-0002-2058-9516 jlevitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2058-9516","contributorId":198353,"corporation":false,"usgs":false,"family":"Levitt","given":"Joseph","email":"jlevitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":206446,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda","email":"merickso@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science 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,{"id":70207564,"text":"70207564 - 2020 - The assessment and remediation of mercury contaminated sites: A review of current approaches","interactions":[],"lastModifiedDate":"2019-12-24T13:15:31","indexId":"70207564","displayToPublicDate":"2019-12-13T13:15:25","publicationYear":"2020","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":"The assessment and remediation of mercury contaminated sites: A review of current approaches","docAbstract":"<p><span>Remediation of mercury (Hg) contaminated sites has long relied on traditional approaches, such as removal and containment/capping. Here we review contemporary practices in the assessment and remediation of industrial-scale Hg contaminated sites and discuss recent advances. Significant improvements have been made in site assessment, including the use of XRF to rapidly identify the spatial extent of contamination, Hg stable isotope fractionation to identify sources and transformation processes, and solid-phase characterization (XAFS) to evaluate Hg forms. The understanding of Hg bioavailability for methylation has been improved by methods such as sequential chemical extractions and porewater measurements, including the use of diffuse gradient in thin-film (DGT) samplers. These approaches have shown varying success in identifying bioavailable Hg fractions and further study and field applications are needed. The downstream accumulation of methylmercury (MeHg) in biota is a concern at many contaminated sites. Identifying the variables limiting/controlling MeHg production—such as bioavailable inorganic Hg, organic carbon, and/or terminal electron acceptors (e.g. sulfate, iron) is critical. Mercury can be released from contaminated sites to the air and water, both of which are influenced by meteorological and hydrological conditions. Mercury mobilized from contaminated sites is predominantly bound to particles, highly correlated with total sediment solids (TSS), and elevated during stormflow. Remediation techniques to address Hg contamination can include the removal or containment of Hg contaminated materials, the application of amendments to reduce mobility and bioavailability, landscape/waterbody manipulations to reduce MeHg production, and food web manipulations through stocking or extirpation to reduce MeHg accumulated in desired species. These approaches often rely on knowledge of the Hg forms/speciation at the site, and utilize physical, chemical, thermal and biological methods to achieve remediation goals. Overall, the complexity of Hg cycling allows many different opportunities to reduce/mitigate impacts, which creates flexibility in determining suitable and logistically feasible remedies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.136031","usgsCitation":"Eckley, C.S., Gilmour, C.C., Janssen, S., Luxton, T., Randall, P.M., Whalin, L., and Austin, C., 2020, The assessment and remediation of mercury contaminated sites: A review of current approaches: Science of the Total Environment, v. 707, 136031, 19 p., https://doi.org/10.1016/j.scitotenv.2019.136031.","productDescription":"136031, 19 p.","ipdsId":"IP-111241","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":458364,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6980986","text":"External Repository"},{"id":370681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"707","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eckley, Chris S.","contributorId":167256,"corporation":false,"usgs":false,"family":"Eckley","given":"Chris","email":"","middleInitial":"S.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":778497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilmour, Cynthia C","contributorId":221508,"corporation":false,"usgs":false,"family":"Gilmour","given":"Cynthia","email":"","middleInitial":"C","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":778498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luxton, Todd P","contributorId":221509,"corporation":false,"usgs":false,"family":"Luxton","given":"Todd P","affiliations":[{"id":40396,"text":"US Environmental Protection Agency, Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":778499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Randall, Paul M","contributorId":221510,"corporation":false,"usgs":false,"family":"Randall","given":"Paul","email":"","middleInitial":"M","affiliations":[{"id":40396,"text":"US Environmental Protection Agency, Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":778500,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whalin, Lindsay","contributorId":221511,"corporation":false,"usgs":false,"family":"Whalin","given":"Lindsay","email":"","affiliations":[{"id":40397,"text":"San Francisco Bay Water Board","active":true,"usgs":false}],"preferred":false,"id":778501,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Austin, Carrie","contributorId":221512,"corporation":false,"usgs":false,"family":"Austin","given":"Carrie","email":"","affiliations":[{"id":40397,"text":"San Francisco Bay Water Board","active":true,"usgs":false}],"preferred":false,"id":778502,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70218231,"text":"70218231 - 2020 - Seismo-acoustic evidence for vent drying during shallow submarine eruptions at Bogoslof volcano, Alaska","interactions":[],"lastModifiedDate":"2021-02-19T17:59:44.99221","indexId":"70218231","displayToPublicDate":"2019-12-13T11:53:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7594,"text":"Bulletin of Volcanology Special Issue on the Bogoslof Eruption","active":true,"publicationSubtype":{"id":10}},"title":"Seismo-acoustic evidence for vent drying during shallow submarine eruptions at Bogoslof volcano, Alaska","docAbstract":"<p><span>Characterizing the state of the volcanic vent is key for interpreting observational datasets and accurately assessing volcanic hazards. This is particularly true for remote, complex eruptions such as the 2016–2017 Bogoslof volcano, Alaska eruption sequence. Bogoslof’s eruptions in this period were either shallow submarine or subaerial, or some combination of both. Our results demonstrate how low-frequency sound waves (infrasound), integrated with seismic and satellite data, can provide unique insight into shallow vent processes, otherwise not available. We use simple metrics, such as the infrasound frequency index (FI), event duration, and acoustic-seismic amplitude ratio, to look at changes in the elastic energy radiation and infer changes in seawater access to the vent. Satellite imagery before and after selected eruptions is used to ground-truth inferences on vent conditions. High FI and gradual increases in infrasound frequency content at Bogoslof correspond with transitions from submarine to subaerial vent conditions and a diminished or absent role of water, likely resulting in a drying out of the vent region. Event durations generally correlate with high FI and the range of FI values for each event, suggesting long duration events were more effective at drying out the vent region. A trend from low to high acoustic-seismic amplitude ratios for some long duration events also suggests an increase in acoustic efficiency as the vent dried out. We demonstrate that infrasound can serve as a robust indicator of seawater involvement for Bogoslof and other shallow submarine eruptions that may not be inferable from other datasets, particularly in near-real-time.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-019-1326-5","usgsCitation":"Fee, D., Lyons, J.J., Haney, M.M., Wech, A., Waythomas, C.F., Diefenbach, A., Lopez, T., Van Eaton, A.R., and Schneider, D.J., 2020, Seismo-acoustic evidence for vent drying during shallow submarine eruptions at Bogoslof volcano, Alaska: Bulletin of Volcanology Special Issue on the Bogoslof Eruption, v. 82, 2, 14 p., https://doi.org/10.1007/s00445-019-1326-5.","productDescription":"2, 14 p.","ipdsId":"IP-107901","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":458366,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-019-1326-5","text":"Publisher Index Page"},{"id":383378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.28582763671875,\n              53.21096737507053\n            ],\n            [\n              -166.81915283203125,\n              53.21096737507053\n            ],\n            [\n              -166.81915283203125,\n              53.99485396562768\n            ],\n            [\n              -168.28582763671875,\n              53.99485396562768\n            ],\n            [\n              -168.28582763671875,\n              53.21096737507053\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2019-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Fee, David","contributorId":199660,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[],"preferred":false,"id":810536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":810537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":810538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diefenbach, Angela K. 0000-0003-0214-7818","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":204743,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lopez, Taryn","contributorId":237830,"corporation":false,"usgs":false,"family":"Lopez","given":"Taryn","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":810542,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810543,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":810544,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70208852,"text":"70208852 - 2020 - Traveling to thermal refuges during stressful temperatures leads to foraging constraints in a central-place forager","interactions":[],"lastModifiedDate":"2020-03-03T11:28:40","indexId":"70208852","displayToPublicDate":"2019-12-13T11:24:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Traveling to thermal refuges during stressful temperatures leads to foraging constraints in a central-place forager","docAbstract":"<p><span>Central-place foragers can be constrained by the distance between habitats. When an organism relies on a central place for thermal refuge, the distance to food resources can potentially constrain foraging behavior. We investigated the effect of distance between thermal refuges and forage patches of the cold-intolerant marine mammal, the Florida manatee (</span><i>Trichechus manatus latirostris</i><span>), on foraging duration. We tested the alternative hypotheses of time minimization and energy maximization as a response to distance between habitats. We also determined if manatees mitigate foraging constraints with increased visits to closer thermal refuges. We used hidden Markov models to assign discrete behaviors from movement parameters as a function of water temperature and assessed the influence of distance on foraging duration in water temperatures above (&gt; 20°C) and below (≤ 20°C) the lower critical limit of the thermoneutral zone of manatees. We found that with increased distance, manatees decreased foraging duration in cold water temperature and increased foraging duration in warmer temperatures. We also found that manatees returned to closer thermal refuges more often. Our results suggest that the spatial relationship of thermal and forage habitats can impact behavioral decisions regarding foraging. Addressing foraging behavior questions while considering thermoregulatory behavior implicates the importance of understanding changing environments on animal behavior, particularly in the face of current global change.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyz197","usgsCitation":"Haase, C.G., Fletcher, R.J., Slone, D.H., Reid, J.P., and Butler, S.M., 2020, Traveling to thermal refuges during stressful temperatures leads to foraging constraints in a central-place forager: Journal of Mammalogy, v. 101, no. 1, p. 271-280, https://doi.org/10.1093/jmammal/gyz197.","productDescription":"10 p.","startPage":"271","endPage":"280","ipdsId":"IP-093855","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458368,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyz197","text":"Publisher Index Page"},{"id":372851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Haase, Catherine G. 0000-0002-7682-0625 chaase@usgs.gov","orcid":"https://orcid.org/0000-0002-7682-0625","contributorId":195794,"corporation":false,"usgs":true,"family":"Haase","given":"Catherine","email":"chaase@usgs.gov","middleInitial":"G.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":783667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fletcher, Robert J. Jr.","contributorId":41294,"corporation":false,"usgs":true,"family":"Fletcher","given":"Robert","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":783668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":205617,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel","email":"dslone@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":783669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, James P. 0000-0002-8497-1132 jreid@usgs.gov","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":3460,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"jreid@usgs.gov","middleInitial":"P.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":783670,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, Susan M. 0000-0003-3676-9332 sbutler@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-9332","contributorId":195796,"corporation":false,"usgs":true,"family":"Butler","given":"Susan","email":"sbutler@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":783671,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227252,"text":"70227252 - 2020 - Species traits predict stream-fish invaders in an Appalachian (U.S.A.) river basin","interactions":[],"lastModifiedDate":"2022-01-05T14:41:43.025859","indexId":"70227252","displayToPublicDate":"2019-12-13T08:32:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Species traits predict stream-fish invaders in an Appalachian (U.S.A.) river basin","docAbstract":"<ol class=\"\"><li>We compared the influence of biological traits (morphology, physiology, reproduction, and life history), ecological traits (geographic distribution, habitat associations, food habits), and introduction attributes (propagule pressure, human use of a species, residence time) on invasion success of native and introduced stream fishes during the colonisation and spread stages in an Appalachian (U.S.A.) river basin.</li><li>Colonisation success was positively related to residence time, benthic feeding, an equilibrium life-history strategy, and nest spawning. Successful spread was associated with tolerance to increased temperature and an equilibrium life-history strategy. The spread of introduced fishes was negatively related to gamefish status. No effect of propagule pressure was detected.</li><li>Traits linked to invasion success were consistent with the hypothesis that human land-use practices increase the invasibility of highland catchments by creating novel conditions better suited to lowland and equilibrium invaders.</li><li>We found biological traits to be more useful than ecological traits in predicting invasion success and suggesting invasion mechanisms. Parental care and nest association can facilitate invasions over large spatial extents for both native and introduced fishes. Analyses of suites of traits can reveal mechanisms of invasions and tactics for controlling them; such mechanisms and tactics may be system-specific and scale-dependent.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13453","usgsCitation":"Buckwalter, J.D., Frimpong, E.A., Angermeier, P.L., and Barney, J.N., 2020, Species traits predict stream-fish invaders in an Appalachian (U.S.A.) river basin: Freshwater Biology, v. 65, no. 3, p. 552-564, https://doi.org/10.1111/fwb.13453.","productDescription":"13 p.","startPage":"552","endPage":"564","ipdsId":"IP-107714","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":458370,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/fwb.13453","text":"External Repository"},{"id":393912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"New River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.5,\n              36\n            ],\n            [\n              -80.25,\n              36\n            ],\n            [\n              -80.25,\n              37.5\n            ],\n            [\n              -81.5,\n              37.5\n            ],\n            [\n              -81.5,\n              36\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"65","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Buckwalter, Joseph D.","contributorId":204535,"corporation":false,"usgs":false,"family":"Buckwalter","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":830118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frimpong, Emmanuel A","contributorId":219188,"corporation":false,"usgs":false,"family":"Frimpong","given":"Emmanuel","email":"","middleInitial":"A","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":830119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":830117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barney, Jacob N.","contributorId":204536,"corporation":false,"usgs":false,"family":"Barney","given":"Jacob","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":830120,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217068,"text":"70217068 - 2020 - Not all fuel‐reduction treatments degrade biocrusts: Herbicides cause mostly neutral to positive effects on cover of biocrusts","interactions":[],"lastModifiedDate":"2021-01-04T13:26:49.305257","indexId":"70217068","displayToPublicDate":"2019-12-13T07:24:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7487,"text":"Land Degradation & Development","active":true,"publicationSubtype":{"id":10}},"title":"Not all fuel‐reduction treatments degrade biocrusts: Herbicides cause mostly neutral to positive effects on cover of biocrusts","docAbstract":"<p><span>In response to increasing fire, fuel‐reduction treatments are being used to minimize large fire risk. Although biocrusts are associated with reduced cover of fire‐promoting, invasive grasses, the impact of fuel‐reduction treatments on biocrusts is poorly understood. We use data from a long‐term experiment, the Sagebrush Steppe Treatment Evaluation Project, testing the following fuel‐reduction treatments: mowing, prescribed fire, and the use of two herbicides: one commonly used to reduce shrub cover, tebuthiuron, and one commonly used to combat cheatgrass, imazapic. Looking at sites with high cover of biocrusts prior to treatments, we demonstrate positive effects of the herbicide, tebuthiuron on lichens with an increase in cover of 10% and trending towards slightly negative effects on moss cover. Across plots, imazapic trended towards a decrease in lichen and moss cover without being statistically significant. Mowing and prescribed fire reduced cover of mosses, with the latter leading to greater declines across sites (declines of 18% vs. 32%). Reductions in moss cover mirrored gains in cover of bare soil, which is associated with increased risk of invasion by grasses responsible for increasing fire risk. We demonstrate that the use of herbicides simultaneously reduces fuels and maintains greater cover of lichens and mosses compared with other fuel‐reduction treatments, possibly reducing risk of invasion by annual grasses that are responsible for increasing fire risk.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ldr.3516","usgsCitation":"Condon, L.A., and Gray, M.L., 2020, Not all fuel‐reduction treatments degrade biocrusts: Herbicides cause mostly neutral to positive effects on cover of biocrusts: Land Degradation & Development, v. 31, no. 13, p. 1727-1734, https://doi.org/10.1002/ldr.3516.","productDescription":"8 p.","startPage":"1727","endPage":"1734","ipdsId":"IP-108427","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":458372,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ldr.3516","text":"Publisher Index Page"},{"id":437189,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P972F9LN","text":"USGS data release","linkHelpText":"10 Year Data for biocrust cover after fire management treatments"},{"id":381838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"13","noUsgsAuthors":false,"publicationDate":"2020-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Condon, Lea A. 0000-0002-9357-3881","orcid":"https://orcid.org/0000-0002-9357-3881","contributorId":202908,"corporation":false,"usgs":true,"family":"Condon","given":"Lea","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":807472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Margaret L 0000-0002-4810-8876","orcid":"https://orcid.org/0000-0002-4810-8876","contributorId":221166,"corporation":false,"usgs":false,"family":"Gray","given":"Margaret","email":"","middleInitial":"L","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":807473,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70207945,"text":"70207945 - 2020 - A comparison of the Trojan Y Chromosome strategy to harvesting models for eradication of nonnative species","interactions":[],"lastModifiedDate":"2020-06-05T11:52:02.919194","indexId":"70207945","displayToPublicDate":"2019-12-12T15:44:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2827,"text":"Natural Resource Modeling","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of the Trojan Y Chromosome strategy to harvesting models for eradication of nonnative species","docAbstract":"<p>The Trojan Y Chromosome strategy (TYC) is a promising eradication method for biological control of nonnative species. The strategy works by manipulating the sex ratio of a population through the introduction of<span>&nbsp;</span><i>supermales</i><span>&nbsp;</span>that guarantee male offspring. In the current study, we compare the TYC method with a pure harvesting strategy. We also analyze a hybrid harvesting model that mirrors the TYC strategy. The dynamic analysis leads to results on stability of solutions and bifurcations of the model. Several conclusions about the different strategies are established via optimal control methods. In particular, the results affirm that either a pure harvesting or hybrid strategy may work better than the TYC method at controlling a nonnative species population.</p><p><strong>Recommendations for resource managers</strong></p><p><br></p><ul class=\"unordered-list\"><li><p>Where harvesting is feasible, it is as effective if not more effective than the classical TYC method. Therein managers may attempt harvesting female fish while stocking males or harvesting both male and female fishes.</p></li><li><p>Managers may attempt linear harvesting, saturating density‐dependent harvesting, and unbounded density‐dependent harvesting. Linear harvesting is seen to be the most effective.</p></li><li><p>We caution against the outright use of harvesting due to various density‐dependent effects that may arise. To this end hybrid models that involve a combination of harvesting and TYC‐type methods might be a better strategy.</p></li><li><p>One may also use harvesting as a tool in mesocosm settings to predict the efficacy of the TYC strategy in the wild.</p></li></ul>","language":"English","publisher":"Wiley","doi":"10.1111/nrm.12252","usgsCitation":"Lyu, J., Schofield, P.J., Reaver, K., Beauregard, M., and Parshad, R.D., 2020, A comparison of the Trojan Y Chromosome strategy to harvesting models for eradication of nonnative species: Natural Resource Modeling, v. 33, no. 2, e12252, 43 p.; Data Release, https://doi.org/10.1111/nrm.12252.","productDescription":"e12252, 43 p.; Data Release","ipdsId":"IP-102664","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458375,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://arxiv.org/abs/1810.08279","text":"External Repository"},{"id":371399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":374930,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WXHRGQ","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Trojan Y chromosome strategy for eradication of non-native species data"}],"volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyu, Jingjing","contributorId":221684,"corporation":false,"usgs":false,"family":"Lyu","given":"Jingjing","email":"","affiliations":[],"preferred":false,"id":779841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":779842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reaver, Kristen 0000-0003-2304-4674 kwoodling@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-4674","contributorId":204132,"corporation":false,"usgs":true,"family":"Reaver","given":"Kristen","email":"kwoodling@usgs.gov","affiliations":[{"id":36862,"text":"Cherokee Nations","active":true,"usgs":false}],"preferred":true,"id":779843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beauregard, Matthew","contributorId":221685,"corporation":false,"usgs":false,"family":"Beauregard","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":779844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parshad, Rana D.","contributorId":221686,"corporation":false,"usgs":false,"family":"Parshad","given":"Rana","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":779845,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209441,"text":"70209441 - 2020 - Chronic and episodic acidification of streams along the Appalachian Trail corridor, eastern United States","interactions":[],"lastModifiedDate":"2020-05-04T18:25:19.107285","indexId":"70209441","displayToPublicDate":"2019-12-12T07:59:28","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Chronic and episodic acidification of streams along the Appalachian Trail corridor, eastern United States","docAbstract":"<p><span>Acidic atmospheric deposition has adversely affected aquatic ecosystems globally. As emissions and deposition of sulfur (S) and nitrogen (N) have declined in recent decades across North America and Europe, ecosystem recovery is evident in many surface waters. However, persistent chronic and episodic acidification remain important concerns in vulnerable regions. We evaluated acidification in 269 headwater streams during 2010–2012 along the Appalachian Trail (AT) that transits several ecoregions and is located downwind of high levels of S and N emission sources. Discharge was estimated by matching sampled streams to those of a nearby gaged stream and assuming equivalent daily mean flow percentiles. Charge balance acid‐neutralizing capacity (ANC) values were adjusted to the 15th (Q15) and 85th flow percentiles (Q85) by applying the ANC/discharge slope among sample pairs collected at each stream. A site‐based approach was applied to streams sampled twice or more and a second regression‐based approach to streams sampled once to estimate episodic acidification magnitudes as the ANC difference from Q15 to Q85. Streams with ANC &lt;0 μeq/L doubled from 16% to 32% as discharge increased from Q15 to Q85 according to the site‐based approach. The proportion of streams with ANC &lt;0 μeq/L at low flow and high flow decreased from north to south. Base cation dilution explained the greatest amount of episodic acidification among streams and variation in sulfate (SO</span><sub>4</sub><sup>2−</sup><span>) concentrations was a secondary explanatory variable. Episodic SO</span><sub>4</sub><sup>2−</sup><span>&nbsp;patterns varied geographically with dilution dominant in northern streams underlain by soils developed in glacial sediment and increased concentrations dominant in southern streams with older, highly weathered soils. Episodic acidification increased as low‐flow ANC increased, exceeding 90 μeq/L in 25% of streams. Episodic increases in ANC were the dominant pattern in streams with low‐flow ANC values &lt;30 μeq/L. Chronic and episodic acidification remain an ecological concern among AT streams. The approach developed here could be applied to estimate the magnitude and extent of chronic and episodic acidification in other regions recovering from decreasing levels of atmospheric S and N deposition.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13668","collaboration":"","usgsCitation":"Burns, D., McDonnell, T., Rice, K.C., Lawrence, G.B., and Sullivan, T., 2020, Chronic and episodic acidification of streams along the Appalachian Trail corridor, eastern United States: Hydrological Processes, v. 34, p. 1498-1513, https://doi.org/10.1002/hyp.13668.","productDescription":"16 p.","startPage":"1498","endPage":"1513","ipdsId":"IP-109972","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":458377,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13668","text":"Publisher Index Page"},{"id":373837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Georgia, Maine, Massachusetts, Maryland, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Tennessee, Vermont, Virginia","otherGeospatial":"Appalachian Trail corridor","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.671875,\n              32.509761735919426\n            ],\n            [\n              -82.08984375,\n              32.02670629333614\n            ],\n            [\n              -79.62890625,\n              33.02708758002874\n            ],\n            [\n              -76.9921875,\n              35.67514743608467\n            ],\n            [\n              -76.5966796875,\n              37.61423141542417\n            ],\n            [\n              -76.552734375,\n              38.89103282648846\n            ],\n            [\n              -75.2783203125,\n              40.413496049701955\n            ],\n            [\n              -71.7626953125,\n              42.52069952914966\n            ],\n            [\n              -70.3564453125,\n              43.644025847699496\n            ],\n            [\n              -69.521484375,\n              44.465151013519616\n            ],\n            [\n              -68.15917968749999,\n              45.058001435398275\n            ],\n            [\n              -68.02734375,\n              46.164614496897094\n            ],\n            [\n              -68.291015625,\n              46.6795944656402\n            ],\n            [\n              -69.345703125,\n              46.46813299215554\n            ],\n            [\n              -70.5322265625,\n              45.213003555993964\n            ],\n            [\n              -72.158203125,\n              44.653024159812\n            ],\n            [\n              -74.8388671875,\n              43.389081939117496\n            ],\n            [\n              -75.76171875,\n              42.00032514831621\n            ],\n            [\n              -78.22265625,\n              40.68063802521456\n            ],\n            [\n              -79.013671875,\n              39.87601941962116\n            ],\n            [\n              -80.244140625,\n              38.37611542403604\n            ],\n            [\n              -81.650390625,\n              35.28150065789119\n            ],\n            [\n              -83.8037109375,\n              34.08906131584994\n            ],\n            [\n              -84.111328125,\n              33.50475906922609\n            ],\n            [\n              -83.671875,\n              32.509761735919426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","noUsgsAuthors":false,"publicationDate":"2020-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonnell, Todd","contributorId":223867,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","affiliations":[{"id":40780,"text":"E&S Environmental Chemistry","active":true,"usgs":false}],"preferred":false,"id":786491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":786492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Timothy","contributorId":223868,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","affiliations":[{"id":40780,"text":"E&S Environmental Chemistry","active":true,"usgs":false}],"preferred":false,"id":786494,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208280,"text":"70208280 - 2020 - Potential changes to the biology and challenges to the management of invasive sea lamprey Petromyzon marinus in the Laurentian Great Lakes due to climate change","interactions":[],"lastModifiedDate":"2020-03-11T15:11:17","indexId":"70208280","displayToPublicDate":"2019-12-12T06:53:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Potential changes to the biology and challenges to the management of invasive sea lamprey <i>Petromyzon marinus</i> in the Laurentian Great Lakes due to climate change","title":"Potential changes to the biology and challenges to the management of invasive sea lamprey Petromyzon marinus in the Laurentian Great Lakes due to climate change","docAbstract":"<p><span>Control programs are implemented to mitigate the damage caused by invasive species worldwide. In the highly invaded Great Lakes, the climate is expected to become warmer with more extreme weather and variable precipitation, resulting in shorter iced‐over periods and variable tributary flows as well as changes to pH and river hydrology and hydrogeomorphology. We review how climate change influences physiology, behavior, and demography of a damaging invasive species, sea lamprey (</span><i>Petromyzon marinus</i><span>), in the Great Lakes, and the consequences for sea lamprey control efforts. Sea lamprey control relies on surveys to monitor abundance of larval sea lamprey in Great Lakes tributaries. The abundance of parasitic, juvenile sea lampreys in the lakes is calculated by surveying wounding rates on lake trout (</span><i>Salvelinus namaycush</i><span>), and trap surveys are used to enumerate adult spawning runs. Chemical control using lampricides (i.e., lamprey pesticides) to target larval sea lamprey and barriers to prevent adult lamprey from reaching spawning grounds are the most important tools used for sea lamprey population control. We describe how climate change could affect larval survival in rivers, growth and maturation in lakes, phenology and the spawning migration as adults return to rivers, and the overall abundance and distribution of sea lamprey in the Great Lakes. Our review suggests that Great Lakes sea lamprey may benefit from climate change with longer growing seasons, more rapid growth, and greater access to spawning habitat, but uncertainties remain about the future availability and suitability of larval habitats. Consideration of the biology of invasive species and adaptation of the timing, intensity, and frequency of control efforts is critical to the management of biological invasions in a changing world, such as sea lamprey in the Great Lakes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14957","usgsCitation":"Lennox, R.J., Bravener, G.A., Lin, H., Madenjian, C.P., Muir, A.M., Remucal, C.K., Robinson, K., Rous, A.M., Siefkes, M.J., Wilkie, M.P., Zielinski, D.P., and Cooke, S.J., 2020, Potential changes to the biology and challenges to the management of invasive sea lamprey Petromyzon marinus in the Laurentian Great Lakes due to climate change: Global Change Biology, v. 26, no. 3, p. 1118-1137, https://doi.org/10.1111/gcb.14957.","productDescription":"20 p.","startPage":"1118","endPage":"1137","ipdsId":"IP-109166","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":458379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.14957","text":"Publisher Index Page"},{"id":371897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada ","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.07617187499999,\n              41.11246878918088\n            ],\n            [\n              -75.8056640625,\n              41.11246878918088\n            ],\n            [\n              -75.8056640625,\n              49.35375571830993\n            ],\n            [\n              -93.07617187499999,\n              49.35375571830993\n            ],\n            [\n              -93.07617187499999,\n              41.11246878918088\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Lennox, Robert J.","contributorId":198273,"corporation":false,"usgs":false,"family":"Lennox","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":781233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bravener, Gale A.","contributorId":222107,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","email":"","middleInitial":"A.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":781234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lin, Hsien-Yung","contributorId":222108,"corporation":false,"usgs":false,"family":"Lin","given":"Hsien-Yung","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":781235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muir, Andrew M.","contributorId":176177,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":781236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Remucal, Christina K.","contributorId":177100,"corporation":false,"usgs":false,"family":"Remucal","given":"Christina","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":781237,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, Kelly F.","contributorId":44911,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":781238,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rous, Andrew M.","contributorId":203583,"corporation":false,"usgs":false,"family":"Rous","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":36663,"text":"Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada","active":true,"usgs":false}],"preferred":false,"id":781239,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Siefkes, Michael J.","contributorId":222109,"corporation":false,"usgs":false,"family":"Siefkes","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":781240,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wilkie, Michael P.","contributorId":191045,"corporation":false,"usgs":false,"family":"Wilkie","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":781241,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zielinski, Daniel P.","contributorId":211034,"corporation":false,"usgs":false,"family":"Zielinski","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":34820,"text":"Great Lakes Fisheries Commission, Ann Arbor, MI","active":true,"usgs":false}],"preferred":false,"id":781243,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cooke, Steven J.","contributorId":214435,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":781242,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70207192,"text":"70207192 - 2020 - USGS near-real-time products-and their use-for the 2018 Anchorage earthquake","interactions":[],"lastModifiedDate":"2020-01-08T14:20:33","indexId":"70207192","displayToPublicDate":"2019-12-11T14:59:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"USGS near-real-time products-and their use-for the 2018 Anchorage earthquake","docAbstract":"<p><span>In the minutes to hours after a major earthquake, such as the recent 2018&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><i><span id=\"MathJax-Span-4\" class=\"mi\">M</span></i><sub><span id=\"MathJax-Span-5\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;7.1 Anchorage event, the U.S. Geological Survey (USGS) produces a suite of interconnected earthquake products that provides diverse information ranging from basic earthquake source parameters to loss estimates. The 2018 Anchorage earthquake is the first major domestic earthquake to occur since several new USGS products have been developed, thus providing an opportunity to discuss the newly expanded USGS earthquake product suite, its timeliness, performance, and reception. Overall, the products were relatively timely, accurate, well received, and widely used, including by the media, who used information and visualizations from many products to frame their early reporting. One downside of the codependence of multiple products is that reasonable updates to upstream products (e.g., magnitude and source characterization) can result in significant changes to downstream products; this was the case for the Anchorage earthquake. However, the coverage of strong‐motion stations and felt reports was so dense that the ShakeMap and downstream products were relatively insensitive to changes in magnitude or fault‐plane orientation once the ground‐motion data were available. Shaking and loss indicators initially fluctuated in the first hour or two after the earthquake, but they stabilized quickly. To understand how the products are being used and how effectively they are being communicated, we analyze the media coverage of USGS earthquake products. Most references to USGS products occurred within the first 48&nbsp;hr after the event. The lack of coverage after 48&nbsp;hr could indicate that longer‐term products addressing what actions the USGS is taking or what early reconnaissance has revealed might be useful for those people wanting additional information about the earthquake.</span></p>","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0220190207","usgsCitation":"Thompson, E.M., McBride, S., Hayes, G.P., Allstadt, K.E., Wald, L., Wald, D.J., Knudsen, K.L., Worden, C., Marano, K., Jibson, R.W., and Grant, A.R., 2020, USGS near-real-time products-and their use-for the 2018 Anchorage earthquake: Seismological Research Letters, v. 91, no. 1, p. 94-113, https://doi.org/10.1785/0220190207.","productDescription":"20 p.","startPage":"94","endPage":"113","ipdsId":"IP-112025","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":370183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Anchorage ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -151.5234375,\n              60.74842446462361\n            ],\n            [\n              -147.91992187499997,\n              60.74842446462361\n            ],\n            [\n              -147.91992187499997,\n              61.48075950007598\n            ],\n            [\n              -151.5234375,\n              61.48075950007598\n            ],\n            [\n              -151.5234375,\n              60.74842446462361\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":146592,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":777220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":777221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777222,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wald, Lisa 0000-0002-5467-0523","orcid":"https://orcid.org/0000-0002-5467-0523","contributorId":204456,"corporation":false,"usgs":true,"family":"Wald","given":"Lisa","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777224,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777225,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knudsen, Keith L. 0000-0003-2826-5812 kknudsen@usgs.gov","orcid":"https://orcid.org/0000-0003-2826-5812","contributorId":3758,"corporation":false,"usgs":true,"family":"Knudsen","given":"Keith","email":"kknudsen@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":777226,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Worden, Charles 0000-0003-1181-685X cbworden@usgs.gov","orcid":"https://orcid.org/0000-0003-1181-685X","contributorId":152042,"corporation":false,"usgs":true,"family":"Worden","given":"Charles","email":"cbworden@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777227,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marano, Kristin 0000-0002-0420-2748 kmarano@usgs.gov","orcid":"https://orcid.org/0000-0002-0420-2748","contributorId":207906,"corporation":false,"usgs":true,"family":"Marano","given":"Kristin","email":"kmarano@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777228,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777229,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":777230,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70216112,"text":"70216112 - 2020 - Preface to the focus section on the 30 November 2018 Mw 7.1 Anchorage, Alaska earthquake","interactions":[],"lastModifiedDate":"2021-02-09T16:36:09.274717","indexId":"70216112","displayToPublicDate":"2019-12-11T11:10:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Preface to the focus section on the 30 November 2018 <i>M</i><sub>w</sub> 7.1 Anchorage, Alaska earthquake","title":"Preface to the focus section on the 30 November 2018 Mw 7.1 Anchorage, Alaska earthquake","docAbstract":"<p><span>On 30 November 2018, a magnitude (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-11\" class=\"math\"><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"msub\"><i><span id=\"MathJax-Span-14\" class=\"mi\">M</span></i><sub><span id=\"MathJax-Span-15\" class=\"mi\">w</span></sub></span></span></span></span></span>⁠</span><span>)&nbsp;7.1 intraslab earthquake occurred under the most densely populated area of Alaska,&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>12</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>km</mi></math>\"><span id=\"MathJax-Span-16\" class=\"math\"><span><span id=\"MathJax-Span-17\" class=\"mrow\"><span id=\"MathJax-Span-18\" class=\"mo\">∼</span><span id=\"MathJax-Span-19\" class=\"mn\">12</span><span id=\"MathJax-Span-20\" class=\"mtext\">  </span><span id=\"MathJax-Span-21\" class=\"mi\">km </span></span></span></span></span></span><span>north of downtown Anchorage. It generated the strongest ground shaking in the greater Anchorage area since the 1964&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-22\" class=\"math\"><span><span id=\"MathJax-Span-23\" class=\"mrow\"><span id=\"MathJax-Span-24\" class=\"msub\"><i><span id=\"MathJax-Span-25\" class=\"mi\">M</span></i><sub><span id=\"MathJax-Span-26\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;9.2 Great Alaska earthquake. Although the 30 November 2018 earthquake did not cause deaths or serious injuries, its economical and psychological impacts on the local population were profound. It caused widespread power outages, structural and nonstructural damage to public and private buildings, and damage to roadways and railways, and resulted in closures of several schools and multiple businesses.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190344","usgsCitation":"Ruppert, N., and Witter, R., 2020, Preface to the focus section on the 30 November 2018 Mw 7.1 Anchorage, Alaska earthquake: Seismological Research Letters, v. 91, no. 1, p. 16-18, https://doi.org/10.1785/0220190344.","productDescription":"3 p.","startPage":"16","endPage":"18","ipdsId":"IP-113807","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":383168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Anchorage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -150.501708984375,\n              60.860963343405125\n            ],\n            [\n              -149.34814453125,\n              60.860963343405125\n            ],\n            [\n              -149.34814453125,\n              61.444019589469434\n            ],\n            [\n              -150.501708984375,\n              61.444019589469434\n            ],\n            [\n              -150.501708984375,\n              60.860963343405125\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruppert, Natalia","contributorId":207257,"corporation":false,"usgs":false,"family":"Ruppert","given":"Natalia","affiliations":[{"id":37504,"text":"University of Alaska/Geophysical Institute, Fairbanks, AK","active":true,"usgs":false}],"preferred":false,"id":804153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":804154,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70212646,"text":"70212646 - 2020 - Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, Mw 7.1 subduction zone earthquake sequence","interactions":[],"lastModifiedDate":"2020-08-25T14:46:14.53336","indexId":"70212646","displayToPublicDate":"2019-12-11T09:39:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, M<sub>w</sub> 7.1 subduction zone earthquake sequence","title":"Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, Mw 7.1 subduction zone earthquake sequence","docAbstract":"<p><span>Instrumental ground‐motion recordings from the 2018 Anchorage, Alaska (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-11\" class=\"math\"><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"msub\"><span id=\"MathJax-Span-14\" class=\"mi\">M</span><span id=\"MathJax-Span-15\" class=\"mi\">w</span></span></span></span></span><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span class=\"MJX_Assistive_MathML\"></span></span></span></span><span>&nbsp;7.1), earthquake sequence provide an independent data set allowing us to evaluate the predictive power of ground‐motion models (GMMs) for intraslab earthquakes associated with the Alaska subduction zone. In this study, we evaluate 15 candidate GMMs using instrumental ground‐motion observations of peak ground acceleration and 5% damped pseudospectral acceleration (0.02–10&nbsp;s) to inform logic‐tree weights for the update of the U.S. Geological Survey seismic hazard model for Alaska. GMMs are evaluated using two methods. The first is a total residual visualization approach that compares the probability density function, mean, and standard deviations&nbsp;</span><i><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot;>&amp;#x3C3;</mi></math>\"><span id=\"MathJax-Span-16\" class=\"math\"><span><span id=\"MathJax-Span-17\" class=\"mrow\"><span id=\"MathJax-Span-18\" class=\"mi\">σ</span></span></span></span></span></span></i><span>&nbsp;of the observed and predicted ground motion. The second GMM evaluation method we use is the common total residual probabilistic scoring method (log likelihood [LLH]). The LLH method provides a single score that can be used to weight GMMs in the Alaska seismic hazard model logic trees. To test logic branches in previous seismic hazard models, we evaluate GMM performance as a function of depth and we demonstrate that some GMMs show improved performance for earthquakes with focal depths greater than 50&nbsp;km. Ten of the initial 15 candidate GMMs fit the observed ground motions and meet established criteria for inclusion in the next update of the Alaska seismic hazard model.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190188","usgsCitation":"McNamara, D.E., Wolin, E., Powers, P.M., Shumway, A., Moschetti, M.P., Rekoske, J., Thompson, E.M., Mueller, C., and Petersen, M.D., 2020, Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, Mw 7.1 subduction zone earthquake sequence: Seismological Research Letters, v. 91, no. 1, p. 183-194, https://doi.org/10.1785/0220190188.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-113669","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":377821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Anchorage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -150.88623046875,\n              60.67855911666429\n            ],\n            [\n              -149.007568359375,\n              60.67855911666429\n            ],\n            [\n              -149.007568359375,\n              61.66120280305204\n            ],\n            [\n              -150.88623046875,\n              61.66120280305204\n            ],\n            [\n              -150.88623046875,\n              60.67855911666429\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolin, Emily 0000-0003-1610-1191","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":221834,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797205,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rekoske, John 0000-0003-0539-2069","orcid":"https://orcid.org/0000-0003-0539-2069","contributorId":220108,"corporation":false,"usgs":true,"family":"Rekoske","given":"John","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797206,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797207,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797208,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797209,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70223762,"text":"70223762 - 2020 - Effects of Cenozoic subduction along the outboard margin of the Northern Cordillera: Derived from e-book on the Northern Cordillera (Alaska and Western Canada) and adjacent marine areas","interactions":[],"lastModifiedDate":"2021-09-07T14:44:15.932616","indexId":"70223762","displayToPublicDate":"2019-12-11T09:39:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Effects of Cenozoic subduction along the outboard margin of the Northern Cordillera: Derived from e-book on the Northern Cordillera (Alaska and Western Canada) and adjacent marine areas","docAbstract":"<p>This article describes the regional effects of Cenozoic subduction along the outboard margin of the Northern Cordillera (Alaska, USA, and Western Canada), and thereby acquaints the reader with several chapters of the e-book<span>&nbsp;</span><i>Dynamic Geology of the Northern Cordillera (Alaska, Western Canada, and Adjacent Marine Areas)</i>. This article and the e-book are written for earth-science students and teachers. The level of writing for the article and the source e-book is that of popular science magazines, and readers are encouraged to share this article with students and laypersons.</p><p>The main thrust of the article is to present and describe a suite of ten regional topographic, bathymetric, and geologic maps, and two figures portraying deep-crustal sections that illustrate the regional effects of Cenozoic subduction along the outboard margin of the North American Cordillera. The regional maps and cross sections are described in a way that a teacher might describe a map to students.</p><p>Cenozoic subduction along the margin of the Northern Cordillera resulted in the formation of the following: (1) underthrusting of terranes and oceanic lithosphere beneath Southern Alaska; (2) landscapes, including narrow continental shelves along Southern and Southeastern Alaska and Western Canada (the Canadian Cordillera) and continental-margin mountain ranges, including the Alaska Peninsula, Chugach Range, Saint Elias Mountains, and Cascade Mountains; (3) sedimentary basins; (4) an array of active continental strike-slip and thrust faults (inboard of subduction zones); (5) earthquake belts related to subduction of terranes and oceanic plates; (6) active volcanoes, including continental-margin arcs (the Aleutian, Wrangell, and Cascade Arcs) linked to subduction zones, and interior volcanic belts related to strike-slip faulting or to hot spots; (7) lode and placer mineral deposits related to continental margin arcs or subduction of oceanic ridges; (8) hot springs related to continental-margin arcs; (9) plate movements as recorded from GPS measurements; and (10) underthrusting of terranes and oceanic lithosphere beneath the Northern Cordillera.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02045.1","usgsCitation":"Nokleberg, W.J., Scholl, D., Bundtzen, T., and Stone, D.B., 2020, Effects of Cenozoic subduction along the outboard margin of the Northern Cordillera: Derived from e-book on the Northern Cordillera (Alaska and Western Canada) and adjacent marine areas: Geosphere, v. 16, no. 1, p. 33-61, https://doi.org/10.1130/GES02045.1.","productDescription":"29 p.","startPage":"33","endPage":"61","ipdsId":"IP-093433","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":458384,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02045.1","text":"Publisher Index Page"},{"id":388872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia, Idaho, Montana, Washington, Yukon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.65039062499999,\n              45.644768217751924\n            ],\n            [\n              -111.70898437499999,\n              46.92025531537451\n            ],\n            [\n              -119.61914062499999,\n              54.00776876193478\n            ],\n            [\n              -121.28906250000001,\n              59.66774058164963\n            ],\n            [\n              -132.626953125,\n              67.7427590666639\n            ],\n            [\n              -149.23828125,\n              69.53451763078358\n            ],\n            [\n              -160.3125,\n              67.7760253890732\n            ],\n            [\n              -165.498046875,\n              61.270232790000634\n            ],\n            [\n              -167.6953125,\n              60.23981116999893\n            ],\n            [\n              -158.73046875,\n              57.98480801923985\n            ],\n            [\n              -169.716796875,\n              53.225768435790194\n            ],\n            [\n              -173.056640625,\n              52.53627304145948\n            ],\n            [\n              -170.5078125,\n              51.069016659603896\n            ],\n            [\n              -135.17578125,\n              43.70759350405294\n            ],\n            [\n              -126.65039062499999,\n              45.644768217751924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":822564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scholl, David 0000-0001-6500-6962","orcid":"https://orcid.org/0000-0001-6500-6962","contributorId":204785,"corporation":false,"usgs":true,"family":"Scholl","given":"David","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":822565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":822566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, David B.","contributorId":193572,"corporation":false,"usgs":false,"family":"Stone","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":822567,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227421,"text":"70227421 - 2020 - Spatial and temporal behavioral differences between angler-access types","interactions":[],"lastModifiedDate":"2022-01-14T15:01:34.496215","indexId":"70227421","displayToPublicDate":"2019-12-11T08:56:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal behavioral differences between angler-access types","docAbstract":"<p><span>Recreational angler surveys typically collect information on how anglers access a fishery. Yet, it is unclear how this information is useful for fisheries management and conservation. The objective of this study was to compare behavior (e.g., party size, time fished, and numbers of fish released and harvested) of bank and boat anglers, representing two angler-access types. Bank and boat anglers were surveyed across 29 Nebraska waterbodies from April through October, 2007–2017. We documented behavioral differences between bank and boat anglers that varied as a function of waterbody size and season. Patterns of party size, time fished, and numbers of fish released and harvested for bank and boat anglers differed across extra small, small, medium, and large waterbodies and across spring, summer, and fall. How anglers choose to access a fishery appears to be a source of heterogeneity within angler populations. Accounting for these spatial and temporal behavioral differences between angler-access types will be important for designing and implementing management regulations. We predict that angler-access types may respond uniquely to different management actions (e.g., size and bag limits, access maintenance, and cleanliness of amenities) that could lead to local and regional changes within and across fisheries (e.g., shift the composition of angler-access types). Continued collection and assessment of angler-access information is warranted and should lead to improved management and conservation of recreational fisheries.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2019.105463","usgsCitation":"Kane, D.S., Kaemingk, M.A., Chizinski, C.J., and Pope, K.L., 2020, Spatial and temporal behavioral differences between angler-access types: Fisheries Research, 105463, 6 p., https://doi.org/10.1016/j.fishres.2019.105463.","productDescription":"105463, 6 p.","ipdsId":"IP-108153","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":394378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70227707,"text":"70227707 - 2020 - Reverberating effects of resource exchanges in stream–riparian food webs","interactions":[],"lastModifiedDate":"2022-01-27T14:56:22.192126","indexId":"70227707","displayToPublicDate":"2019-12-11T08:49:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Reverberating effects of resource exchanges in stream–riparian food webs","docAbstract":"<p><span>Fluxes of materials or organisms across ecological boundaries, often termed “resource subsidies,” directly affect recipient food webs. Few studies have addressed how such direct responses in one ecosystem may, in turn, influence the fluxes of materials or organisms to other habitats or the potential for feedback relationships to occur among ecosystems. As part of a large-scale, multi-year experiment, we evaluated the hypothesis that the input of a marine-derived subsidy results in a complex array of resource exchanges (i.e., inputs, outputs, feedbacks) between stream and riparian ecosystems as responses disperse across ecological boundaries. Moreover, we evaluated how the physical properties of resource subsidies mediated complex responses by contrasting carcasses with a pelletized salmon treatment. We found that salmon carcasses altered stream–riparian food webs by directly subsidizing multiple aquatic and terrestrial organisms (e.g., benthic insect larvae, fishes, and terrestrial flies). Such responses further influenced food webs along indirect pathways, some of which spanned land and water (e.g., subsidized fishes reduced aquatic insect emergence, with consequences for spiders and bats). Subsidy-mediated feedbacks manifested when carcasses were removed to riparian habitats where they were colonized by carrion flies, some of which fell into the stream and acted as another prey subsidy for fishes. As the effects of salmon subsidies propagated through the stream–riparian food web, the sign of consumer responses was not always positive and appeared to be determined by the outcome of trophic interactions, such that localized trophic interactions within one ecosystem mediated the export of organisms to others.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s00442-019-04574-y","usgsCitation":"Collins, S.F., Baxter, C., Marcarelli, A., Felicetti, L., Florin, S., Wipfli, M.S., and Servheen, G., 2020, Reverberating effects of resource exchanges in stream–riparian food webs: Oecologia, v. 192, p. 179-189, https://doi.org/10.1007/s00442-019-04574-y.","productDescription":"11 p.","startPage":"179","endPage":"189","ipdsId":"IP-077165","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":394968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"North Fork Boise River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.66955566406249,\n              43.71950494269107\n            ],\n            [\n              -114.774169921875,\n              43.71950494269107\n            ],\n            [\n              -114.774169921875,\n              44.09153051045218\n            ],\n            [\n              -115.66955566406249,\n              44.09153051045218\n            ],\n            [\n              -115.66955566406249,\n              43.71950494269107\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"192","noUsgsAuthors":false,"publicationDate":"2019-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Scott F.","contributorId":172292,"corporation":false,"usgs":false,"family":"Collins","given":"Scott","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":831849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baxter, Colden V.","contributorId":272243,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":56375,"text":"isu","active":true,"usgs":false}],"preferred":false,"id":831850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marcarelli, Amy M.","contributorId":272244,"corporation":false,"usgs":false,"family":"Marcarelli","given":"Amy M.","affiliations":[{"id":56375,"text":"isu","active":true,"usgs":false}],"preferred":false,"id":831851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Felicetti, Laura","contributorId":272245,"corporation":false,"usgs":false,"family":"Felicetti","given":"Laura","email":"","affiliations":[{"id":56376,"text":"wsu","active":true,"usgs":false}],"preferred":false,"id":831852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Florin, Scott","contributorId":272246,"corporation":false,"usgs":false,"family":"Florin","given":"Scott","email":"","affiliations":[{"id":56376,"text":"wsu","active":true,"usgs":false}],"preferred":false,"id":831853,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831854,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Servheen, Gregg","contributorId":272247,"corporation":false,"usgs":false,"family":"Servheen","given":"Gregg","email":"","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":831855,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70207216,"text":"70207216 - 2020 - Seismic survey design and impacts to maternal polar bear dens","interactions":[],"lastModifiedDate":"2020-01-20T11:57:29","indexId":"70207216","displayToPublicDate":"2019-12-11T07:51:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Seismic survey design and impacts to maternal polar bear dens","docAbstract":"<p><span>Large‐scale industrial activities can have negative effects on wildlife populations. Some of these effects, however, could be reduced with effective planning prior to development. The Coastal Plain of the Arctic National Wildlife Refuge, in northeastern Alaska, USA, is an important maternal denning area for polar bears (</span><i>Ursus maritimus</i><span>). Recent legislation has opened the area for potential oil and gas development. As a result, there is interest in conducting winter seismic surveys across the area that could disturb denning female polar bears and lead to decreased cub survival. We sought to demonstrate how different seismic survey designs, with and without aerial den detection surveys, could affect the level of potential effect on denning polar bears during spring (Feb–Apr). We developed 5 hypothetical seismic survey designs for a portion of the Coastal Plain ranging from no spatial or temporal restrictions on activities to explicit consideration of when and where operations can occur. We evaluated how many dens might be disturbed by seismic surveys and the average distance activity came within simulated polar bear dens. Survey design had a large effect on the estimated number of dens that could be disturbed; the scenario with the highest spatial and temporal specificity reduced the number of dens disturbed by &gt;90% compared to the scenario with no restrictions on when and where activity could occur. The use of an aerial den detection survey prior to seismic activity further reduced the number of dens disturbed by 68% across all scenarios. The scenario with the highest spatial and temporal specificity always had the lowest level of disturbance for all scenarios with and without the aerial survey included. Our study suggests that large reductions in the probability of disturbance can occur through careful planning on the timing and distribution of proposed activities even when surveys are planned in areas with a high density of polar bear dens.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21800","usgsCitation":"Wilson, R.H., and Durner, G.M., 2020, Seismic survey design and impacts to maternal polar bear dens: Journal of Wildlife Management, v. 84, no. 2, p. 201-212, https://doi.org/10.1002/jwmg.21800.","productDescription":"12 p.","startPage":"201","endPage":"212","ipdsId":"IP-109353","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":458390,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21800","text":"Publisher Index Page"},{"id":370237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.6640625,\n              69.03714171275197\n            ],\n            [\n              -138.515625,\n              68.26938680456564\n            ],\n            [\n              -139.21874999999997,\n              72.28906720017675\n            ],\n            [\n              -153.984375,\n              72.71190310803662\n            ],\n            [\n              -164.1796875,\n              71.85622888185527\n            ],\n            [\n              -160.6640625,\n              69.03714171275197\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":777291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":777290,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217004,"text":"70217004 - 2020 - Geochronology of the Oliverian Plutonic Suite and the Ammonoosuc Volcanics in the Bronson Hill arc: Western New Hampshire, USA","interactions":[],"lastModifiedDate":"2020-12-23T13:31:09.51661","indexId":"70217004","displayToPublicDate":"2019-12-11T07:28:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Geochronology of the Oliverian Plutonic Suite and the Ammonoosuc Volcanics in the Bronson Hill arc: Western New Hampshire, USA","docAbstract":"<p>U-Pb zircon geochronology by sensitive high-resolution ion microprobe–reverse geometry (SHRIMP-RG) on 11 plutonic rocks and two volcanic rocks from the Bronson Hill arc in western New Hampshire yielded Early to Late Ordovician ages ranging from 475 to 445 Ma. Ages from Oliverian Plutonic Suite rocks that intrude a largely mafic lower section of the Ammonoosuc Volcanics ranged from 474.8 ± 5.2 to 460.2 ± 3.4 Ma. Metamorphosed felsic volcanic rocks from within the Ammonoosuc Volcanics yielded ages of 460.1 ± 2.4 and 455.0 ± 11 Ma. Younger Oliverian Plutonic Suite rocks that either intrude both the upper and lower Ammonoosuc Volcanics or Partridge Formation ranged in age from 456.1 ± 6.7 Ma to 445.2 ± 6.7 Ma.</p><p>These new data and previously published results document extended magmatism for &gt;30 m.y. The ages, along with the lack of mappable structural discontinuities between the plutons and their volcanic cover, suggest that the Bronson Hill arc was part of a relatively long-lived composite arc. The Early to Late Ordovician ages presented here overlap with previously determined igneous U-Pb zircon ages in the Shelburne Falls arc to the west, suggesting that the Bronson Hill arc and the Shelburne Falls arc could be part of one, long-lived composite arc system, in agreement with the interpretation that the Iapetus suture (Red Indian Line) lies to the west of the Shelburne Falls–Bronson Hill arc system.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02170.1","usgsCitation":"Valley, P.M., Walsh, G.J., Merschat, A.J., and McAleer, R.J., 2020, Geochronology of the Oliverian Plutonic Suite and the Ammonoosuc Volcanics in the Bronson Hill arc: Western New Hampshire, USA: Geosphere, v. 16, no. 1, p. 229-257, https://doi.org/10.1130/GES02170.1.","productDescription":"29 p.","startPage":"229","endPage":"257","ipdsId":"IP-102995","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":458395,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02170.1","text":"Publisher Index Page"},{"id":381609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.5537109375,\n              42.94033923363181\n            ],\n            [\n              -71.312255859375,\n              42.94033923363181\n            ],\n            [\n              -71.312255859375,\n              43.723474896114794\n            ],\n            [\n              -72.5537109375,\n              43.723474896114794\n            ],\n            [\n              -72.5537109375,\n              42.94033923363181\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Valley, Peter M. 0000-0002-9957-0403 pvalley@usgs.gov","orcid":"https://orcid.org/0000-0002-9957-0403","contributorId":4809,"corporation":false,"usgs":true,"family":"Valley","given":"Peter","email":"pvalley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":807236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":807237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":807238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":807239,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227282,"text":"70227282 - 2020 - Seasonal variation in environmental and behavioural drivers of annual-cycle habitat selection in a nearshore seabird","interactions":[],"lastModifiedDate":"2022-01-07T14:26:37.217941","indexId":"70227282","displayToPublicDate":"2019-12-10T08:22:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal variation in environmental and behavioural drivers of annual-cycle habitat selection in a nearshore seabird","docAbstract":"<h3 id=\"ddi13015-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Conservation of highly mobile species often requires identifying locations or time periods of elevated vulnerability. Since both extrinsic habitat conditions and intrinsic behavioural and energetic requirements contribute to habitat use at the landscape scale, identifying spatial or temporal foci for conservation intervention requires understanding how habitat needs and distributions vary across the annual cycle. Nearshore marine birds inhabit highly dynamic systems and have widely varying habitat needs among breeding, moult and non-breeding seasons, making them a useful case study for testing the relative contributions of individual resource requirements and environmental conditions in driving annual variation in distribution patterns.</p><h3 id=\"ddi13015-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Northern Gulf of Mexico (USA).</p><h3 id=\"ddi13015-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We tracked Brown Pelicans using bird-borne GPS transmitters and used a combination of Hidden Markov Models and multivariate selectivity analysis to compare the characteristics of preferred resident habitats used throughout the annual cycle.</p><h3 id=\"ddi13015-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>Habitat selection was driven by dynamic oceanographic variables during all stages of the annual cycle. Key habitat characteristics varied between seasons, with particularly strong selection on high productivity, low temperature and low salinity during the breeding and post-breeding moult periods. The post-breeding moult also corresponded to a time of limited availability of preferred habitats, resulting in extensive overlap between breeding populations from different administrative planning areas.</p><h3 id=\"ddi13015-sec-0005-title\" class=\"article-section__sub-title section1\">Main conclusions</h3><p>By incorporating seasonal variation in individual behaviour and resource requirements into our habitat models, we were able to identify the post-breeding moult as a period of high selectivity and restricted availability of preferred habitats for Brown Pelicans. Locations meeting preferred habitat criteria during the post-breeding period, particularly estuarine habitats with high productivity and low salinity, would therefore be high-value targets for management and restoration. Our analysis demonstrates the importance of accounting for both intrinsic and extrinsic temporal variation in evaluating habitat selection.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13015","usgsCitation":"Lamb, J., Satgé, Y., and Jodice, P.G., 2020, Seasonal variation in environmental and behavioural drivers of annual-cycle habitat selection in a nearshore seabird: Diversity and Distributions, v. 26, no. 2, p. 254-266, https://doi.org/10.1111/ddi.13015.","productDescription":"13 p.","startPage":"254","endPage":"266","ipdsId":"IP-107894","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458397,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13015","text":"Publisher Index Page"},{"id":394015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, 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              -97.734375,\n              26.07652055985697\n            ],\n            [\n              -82.63916015625,\n              26.07652055985697\n            ],\n            [\n              -82.63916015625,\n              30.600093873550072\n            ],\n            [\n              -97.734375,\n              30.600093873550072\n            ],\n            [\n              -97.734375,\n              26.07652055985697\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamb, J. S.","contributorId":270975,"corporation":false,"usgs":false,"family":"Lamb","given":"J. S.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":830263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Satgé, Y. G.","contributorId":265430,"corporation":false,"usgs":false,"family":"Satgé","given":"Y. G.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":830264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":830265,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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