Climate-induced shifts in plant phenology may adversely affect animals that cannot or do not shift the timing of their reproductive cycle. The realized effect of potential trophic “mismatches” between a consumer and its food varies with the degree to which species rely on dietary income and stored capital. Large Arctic herbivores rely heavily on maternal capital to reproduce and give birth near the onset of the growing season but are they vulnerable to trophic mismatch? We evaluated the long-term changes in the temperatures and characteristics of the growing seasons (1970–2013), and compared growing conditions and dynamics of forage quality for caribou at peak parturition, peak lactation, and peak forage biomass, and plant senescence between two distinct time periods over 36 years (1977 and 2011–13). Despite advanced thaw dates (7−12 days earlier), increased growing season lengths (15−21 days longer), and consistent parturition dates, we found no decline in forage quality and therefore no evidence within this dataset for a trophic mismatch at peak parturition or peak lactation from 1977 to 2011–13. In Arctic ungulates that use stored capital for reproduction, reproductive demands are largely met by body stores deposited in the previous summer and autumn, which reduces potential adverse effects of any mismatch between food availability and timing of parturition. Climate-induced effects on forages growing in the summer and autumn ranges, however, do correspond with the demands of female caribou and their offspring to gain mass for the next reproductive cycle and winter. Therefore, we suggest the window of time to examine the match-mismatch framework in Arctic ungulates is not at parturition but in late summer-autumn, where the multiplier effects of small changes in forage quality are amplified by forage abundance, peak forage intake, and resultant mass gains in mother-offspring pairs.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0171807","usgsCitation":"Gustine, D.D., Barboza, P., Adams, L., Griffith, B., Cameron, R.D., and Whitten, K.R., 2017, Advancing the match-mismatch framework for large herbivores in the Arctic: Evaluating the evidence for a trophic mismatch in caribou: PLoS ONE, v. 12, no. 2, p. 1-18, https://doi.org/10.1371/journal.pone.0171807.","productDescription":"e0171807; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-061147","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0171807","text":"Publisher Index Page"},{"id":339127,"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 -148.9306640625,\n 68.65255607018035\n ],\n [\n -147.67822265625,\n 68.65255607018035\n ],\n [\n -147.67822265625,\n 70.4257596280135\n ],\n [\n -148.9306640625,\n 70.4257596280135\n ],\n [\n -148.9306640625,\n 68.65255607018035\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-23","publicationStatus":"PW","scienceBaseUri":"58e4b0b1e4b09da67999777c","contributors":{"authors":[{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":688231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barboza, Perry","contributorId":190361,"corporation":false,"usgs":false,"family":"Barboza","given":"Perry","affiliations":[],"preferred":false,"id":688232,"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":688230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffith, Brad","contributorId":190362,"corporation":false,"usgs":false,"family":"Griffith","given":"Brad","affiliations":[],"preferred":false,"id":688233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cameron, Raymond D.","contributorId":190363,"corporation":false,"usgs":false,"family":"Cameron","given":"Raymond","email":"","middleInitial":"D.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":688234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitten, Kenneth R.","contributorId":190408,"corporation":false,"usgs":false,"family":"Whitten","given":"Kenneth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":688370,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192844,"text":"70192844 - 2017 - Assessment of contemporary genetic diversity and inter-taxa/inter-region exchange of avian paramyxovirus serotype 1 in wild birds sampled in North America","interactions":[],"lastModifiedDate":"2017-11-01T16:56:42","indexId":"70192844","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3697,"text":"Virology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of contemporary genetic diversity and inter-taxa/inter-region exchange of avian paramyxovirus serotype 1 in wild birds sampled in North America","docAbstract":"Background
Avian paramyxovirus serotype 1 (APMV-1) viruses are globally distributed, infect wild, peridomestic, and domestic birds, and sometimes lead to outbreaks of disease. Thus, the maintenance, evolution, and spread of APMV-1 viruses are relevant to avian health.
Methods
In this study we sequenced the fusion gene from 58 APMV-1 isolates recovered from thirteen species of wild birds sampled throughout the USA during 2007–2014. We analyzed sequence information with previously reported data in order to assess contemporary genetic diversity and inter-taxa/inter-region exchange of APMV-1 in wild birds sampled in North America.
Results
Our results suggest that wild birds maintain previously undescribed genetic diversity of APMV-1; however, such diversity is unlikely to be pathogenic to domestic poultry. Phylogenetic analyses revealed that APMV-1 diversity detected in wild birds of North America has been found in birds belonging to numerous taxonomic host orders and within hosts inhabiting multiple geographic regions suggesting some level of viral exchange. However, our results also provide statistical support for associations between phylogenetic tree topology and host taxonomic order/region of sample origin which supports restricted exchange among taxa and geographical regions of North America for some APMV-1 sub-genotypes.
Conclusions
We identify previously unrecognized genetic diversity of APMV-1 in wild birds in North America which is likely a function of continued viral evolution in reservoir hosts. We did not, however, find support for the emergence or maintenance of APMV-1 strains predicted to be pathogenic to poultry in wild birds of North America outside of the order Suliformes (i.e., cormorants). Furthermore, genetic evidence suggests that ecological drivers or other mechanisms may restrict viral exchange among taxa and regions of North America. Additional and more systematic sampling for APMV-1 in North America would likely provide further inference on viral dynamics for this infectious agent in wild bird populations.
Glacier hypsometry provides a first‐order approach for assessing a glacier's response to climate forcings. We couple the Randolph Glacier Inventory to a suite of in situ observations and climate model output to examine potential change for the ∼27,000 glaciers in Alaska and northwest Canada through the end of the 21st century. By 2100, based on Representative Concentration Pathways (RCPs) 4.5–8.5 forcings, summer temperatures are predicted to increase between +2.1 and +4.6°C, while solid precipitation (snow) is predicted to decrease by −6 to −11%, despite a +9 to +21% increase in total precipitation. Snow is predicted to undergo a pronounced decrease in the fall, shifting the start of the accumulation season back by ∼1 month. In response to these forcings, the regional equilibrium line altitude (ELA) may increase by +105 to +225 m by 2100. The mass balance sensitivity to this increase is highly variable, with the most substantive impact for glaciers with either limited elevation ranges (often small (<1 km2) glaciers, which account for 80% of glaciers in the region) or those with top‐heavy geometries, like icefields. For more than 20% of glaciers, future ELAs, given RCP 6.0 forcings, will exceed the maximum elevation of the glacier, resulting in their eventual demise, while for others, accumulation area ratios will decrease by >60%. Our results highlight the first‐order control of hypsometry on individual glacier response to climate change, and the variability that hypsometry introduces to a regional response to a coherent climate perturbation.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016EF000479","usgsCitation":"Mcgrath, D., Sass, L., O’Neel, S., Arendt, A.A., and Kienholz, C., 2017, Hypsometric control on glacier mass balance sensitivity in Alaska and northwest Canada: Earth's Future, v. 5, no. 3, p. 324-336, https://doi.org/10.1002/2016EF000479.","productDescription":"13 p.","startPage":"324","endPage":"336","ipdsId":"IP-080924","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016ef000479","text":"Publisher Index Page"},{"id":369088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia, Yukon","otherGeospatial":"Gulf of Alaska watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.7734375,\n 60.108670463036\n ],\n [\n -130.869140625,\n 51.781435604431195\n ],\n [\n -123.134765625,\n 55.02802211299252\n ],\n [\n -123.04687499999999,\n 56.36525013685606\n ],\n [\n -128.671875,\n 66.75724984139227\n ],\n [\n -136.669921875,\n 66.44310650816469\n ],\n [\n -162.7734375,\n 60.108670463036\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":774886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":774887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":774888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arendt, Anthony A.","contributorId":200572,"corporation":false,"usgs":false,"family":"Arendt","given":"Anthony","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":774889,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kienholz, C.","contributorId":146539,"corporation":false,"usgs":false,"family":"Kienholz","given":"C.","email":"","affiliations":[{"id":13097,"text":"Geophysical Institute, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":774890,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182083,"text":"70182083 - 2017 - Neisseria arctica sp. nov. isolated from nonviable eggs of greater white-fronted geese (Anser albifrons) in Arctic Alaska","interactions":[],"lastModifiedDate":"2017-06-07T10:34:20","indexId":"70182083","displayToPublicDate":"2017-02-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2076,"text":"International Journal of Systematic and Evolutionary Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Neisseria arctica sp. nov. isolated from nonviable eggs of greater white-fronted geese (Anser albifrons) in Arctic Alaska","docAbstract":"During the summers of 2013 and 2014, isolates of a novel Gram-negative coccus in the Neisseria genus were obtained from the contents of nonviable greater white-fronted goose (Anser albifrons) eggs on the Arctic Coastal Plain of Alaska. We used a polyphasic approach to determine whether these isolates represent a novel species. 16S rRNA gene sequences, 23S rRNA gene sequences, and chaperonin 60 gene sequences suggested that these Alaskan isolates are members of a distinct species that is most closely related to Neisseria canis, N. animaloris, and N. shayeganii. Analysis of the rplF gene additionally showed that our isolates are unique and most closely related to N. weaveri. Average nucleotide identity of the whole genome sequence of our type strain was between 71.5% and 74.6% compared to close relatives, further supporting designation as a novel species. Fatty acid methyl ester analysis showed a predominance of C14:0, C16:0, and C16:1ω7c fatty acids. Finally, biochemical characteristics distinguished our isolates from other Neisseria species. The name Neisseria arctica (type strain KH1503T = ATCC TSD-57T = DSM 103136T) is proposed.
","language":"English","publisher":"Microbiology Society","doi":"10.1099/ijsem.0.001773","usgsCitation":"Hansen, C.M., Himschoot, E., Hare, R.F., Meixell, B.W., Van Hemert, C.R., and Hueffer, K., 2017, Neisseria arctica sp. nov. isolated from nonviable eggs of greater white-fronted geese (Anser albifrons) in Arctic Alaska: International Journal of Systematic and Evolutionary Microbiology, v. 67, p. 1115-1119, https://doi.org/10.1099/ijsem.0.001773.","productDescription":"5 p.","startPage":"1115","endPage":"1119","ipdsId":"IP-075282","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":461729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.1099/ijsem.0.001773","text":"Publisher Index Page"},{"id":335676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c829e4b025c46428625a","contributors":{"authors":[{"text":"Hansen, Cristina M.","contributorId":166985,"corporation":false,"usgs":false,"family":"Hansen","given":"Cristina","email":"","middleInitial":"M.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":669489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Himschoot, Elizabeth","contributorId":181769,"corporation":false,"usgs":false,"family":"Himschoot","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":669490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hare, Rebekah F.","contributorId":166986,"corporation":false,"usgs":false,"family":"Hare","given":"Rebekah","email":"","middleInitial":"F.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":669491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":669487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":669488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hueffer, Karsten","contributorId":139938,"corporation":false,"usgs":false,"family":"Hueffer","given":"Karsten","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":669492,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70181760,"text":"70181760 - 2017 - Climate change and the eco-hydrology of fire: Will area burned increase in a warming western USA?","interactions":[],"lastModifiedDate":"2017-02-13T15:58:32","indexId":"70181760","displayToPublicDate":"2017-02-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and the eco-hydrology of fire: Will area burned increase in a warming western USA?","docAbstract":"Wildfire area is predicted to increase with global warming. Empirical statistical models and process-based simulations agree almost universally. The key relationship for this unanimity, observed at multiple spatial and temporal scales, is between drought and fire. Predictive models often focus on ecosystems in which this relationship appears to be particularly strong, such as mesic and arid forests and shrublands with substantial biomass such as chaparral. We examine the drought–fire relationship, specifically the correlations between water-balance deficit and annual area burned, across the full gradient of deficit in the western USA, from temperate rainforest to desert. In the middle of this gradient, conditional on vegetation (fuels), correlations are strong, but outside this range the equivalence hotter and drier equals more fire either breaks down or is contingent on other factors such as previous-year climate. This suggests that the regional drought–fire dynamic will not be stationary in future climate, nor will other more complex contingencies associated with the variation in fire extent. Predictions of future wildfire area therefore need to consider not only vegetation changes, as some dynamic vegetation models now do, but also potential changes in the drought–fire dynamic that will ensue in a warming climate.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/eap.1420","usgsCitation":"McKenzie, D., and Littell, J.S., 2017, Climate change and the eco-hydrology of fire: Will area burned increase in a warming western USA?: Ecological Applications, v. 27, no. 1, p. 26-36, https://doi.org/10.1002/eap.1420.","productDescription":"11 p.","startPage":"26","endPage":"36","ipdsId":"IP-073768","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":335295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Western United 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,{"id":70176575,"text":"ds1021 - 2017 - DOI/GTN-P Climate and active-layer data acquired in the National Petroleum Reserve–Alaska and the Arctic National Wildlife Refuge, 1998–2015","interactions":[{"subject":{"id":70168397,"text":"ds977 - 2016 - DOI/GTN-P Climate and active-layer data acquired in the National Petroleum Reserve–Alaska and the Arctic National Wildlife Refuge, 1998–2014","indexId":"ds977","publicationYear":"2016","noYear":false,"title":"DOI/GTN-P Climate and active-layer data acquired in the National Petroleum Reserve–Alaska and the Arctic National Wildlife Refuge, 1998–2014"},"predicate":"SUPERSEDED_BY","object":{"id":70176575,"text":"ds1021 - 2017 - DOI/GTN-P Climate and active-layer data acquired in the National Petroleum Reserve–Alaska and the Arctic National Wildlife Refuge, 1998–2015","indexId":"ds1021","publicationYear":"2017","noYear":false,"title":"DOI/GTN-P Climate and active-layer data acquired in the National Petroleum Reserve–Alaska and the Arctic National 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Box 25046, Mail Stop 980
Denver, CO 80225
Sublacustrine landslide stratigraphy is considered useful for quantitative paleoseismology in low-seismicity settings. However, as the recharging of underwater slopes with sediments is one of the factors that governs the recurrence of slope failures, it is not clear if landslide deposits can provide continuous paleoseismic records in settings of frequent strong shaking. To test this, we selected three lakes in south-central Alaska that experienced a strong historical megathrust earthquake (the 1964 Mw9.2 Great Alaska Earthquake) and exhibit high sedimentation rates in their main basins (0.2 cm yr− 1–1.0 cm yr− 1). We present high-resolution reflection seismic data (3.5 kHz) and radionuclide data from sediment cores in order to investigate factors that control the establishment of a reliable landslide record. Seismic stratigraphy analysis reveals the presence of several landslide deposits in the lacustrine sedimentary infill. Most of these landslide deposits can be attributed to specific landslide events, as multiple landslide deposits sourced from different lacustrine slopes occur on a single stratigraphic horizon. We identify numerous events in the lakes: Eklutna Lake proximal basin (14 events), Eklutna Lake distal basin (8 events), Skilak Lake (7 events) and Kenai Lake (7 events). The most recent event in each basin corresponds to the historic 1964 megathrust earthquake. All events are characterized by multiple landslide deposits, which hints at a regional trigger mechanism, such as an earthquake (the synchronicity criterion). This means that the landslide record in each basin represents a record of past seismic events. Based on extrapolation of sedimentation rates derived from radionuclide dating, we roughly estimate a mean recurrence interval in the Eklutna Lake proximal basin, Eklutna Lake distal basin, Skilak Lake and Kenai Lake, at ~ 250 yrs., ~ 450 yrs., ~ 900 yrs. and ~ 450 yrs., respectively. This distinct difference in recording can be explained by variations in preconditioning factors like slope angle, slope recharging (sedimentation rate) and the sediment source area: faster slope recharging and a predominance of delta and alluvial fan failures, increase the sensitivity and lower the intensity threshold for slope instability. Also, the seismotectonic setting of the lakes has to be taken into account. This study demonstrates that sublacustrine landslides in several Alaskan lakes can be used as reliable recorders of strong earthquake shaking, when a multi-lake approach is used, and can enhance the temporal and spatial resolution of the paleoseismic record of south-central Alaska.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.05.004","usgsCitation":"Praet, N., Moernaut, J., Van Daele, M., Boes, E., Haeussler, P.J., Strupler, M., Schmidt, S., Loso, M.G., and De Batist, M., 2017, Paleoseismic potential of sublacustrine landslide records in a high-seismicity setting (south-central Alaska): Marine Geology, v. 384, p. 103-119, https://doi.org/10.1016/j.margeo.2016.05.004.","productDescription":"17 p.","startPage":"103","endPage":"119","ipdsId":"IP-073802","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":489654,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GK6YZG","text":"USGS data release","linkHelpText":"Gridded Data from Multibeam Bathymetric Surveys of Eklutna, Kenai, and Skilak Lakes, Alaska"},{"id":470106,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2016.05.004","text":"Publisher Index Page"},{"id":343261,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.5009765625,\n 59.108308258604964\n ],\n [\n -147.48046875,\n 59.108308258604964\n ],\n [\n -147.48046875,\n 61.37567331572747\n ],\n [\n -153.5009765625,\n 61.37567331572747\n ],\n [\n -153.5009765625,\n 59.108308258604964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"384","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595b5797e4b0d1f9f0536db1","contributors":{"authors":[{"text":"Praet, Nore","contributorId":194083,"corporation":false,"usgs":false,"family":"Praet","given":"Nore","email":"","affiliations":[],"preferred":false,"id":703165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moernaut, Jasper","contributorId":194084,"corporation":false,"usgs":false,"family":"Moernaut","given":"Jasper","email":"","affiliations":[],"preferred":false,"id":703166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Daele, Maarten 0000-0002-8530-4438","orcid":"https://orcid.org/0000-0002-8530-4438","contributorId":194085,"corporation":false,"usgs":false,"family":"Van Daele","given":"Maarten","email":"","affiliations":[{"id":27279,"text":"Department of Geology and Soil Science, Ghent University, Ghent, Belgium","active":true,"usgs":false}],"preferred":false,"id":703167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boes, Evelien","contributorId":194086,"corporation":false,"usgs":false,"family":"Boes","given":"Evelien","email":"","affiliations":[],"preferred":false,"id":703168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","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":703164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Strupler, Michael","contributorId":194087,"corporation":false,"usgs":false,"family":"Strupler","given":"Michael","email":"","affiliations":[],"preferred":false,"id":703169,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt, Sabine","contributorId":194088,"corporation":false,"usgs":false,"family":"Schmidt","given":"Sabine","email":"","affiliations":[],"preferred":false,"id":703170,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Loso, Michael G.","contributorId":146361,"corporation":false,"usgs":false,"family":"Loso","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":703171,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"De Batist, Marc 0000-0002-1625-2080","orcid":"https://orcid.org/0000-0002-1625-2080","contributorId":194089,"corporation":false,"usgs":false,"family":"De Batist","given":"Marc","email":"","affiliations":[],"preferred":false,"id":703172,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70194324,"text":"70194324 - 2017 - Collar temperature sensor data reveal long-term patterns in southern Beaufort Sea polar bear den distribution on pack ice and land","interactions":[],"lastModifiedDate":"2017-11-22T13:30:53","indexId":"70194324","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Collar temperature sensor data reveal long-term patterns in southern Beaufort Sea polar bear den distribution on pack ice and land","docAbstract":"In response to a changing climate, many species alter habitat use. Polar bears Ursus maritimus in the southern Beaufort Sea have increasingly used land for maternal denning. To aid in detecting denning behavior, we developed an objective method to identify polar bear denning events using temperature sensor data collected by satellite-linked transmitters deployed on adult females between 1985 and 2013. We then applied this method to determine whether southern Beaufort Sea polar bears have continued to increase land denning with recent sea-ice loss and examined whether sea-ice conditions affect the distribution of dens between pack-ice and coastal substrates. Because land use in summer and autumn has also increased, we examined potential associations between summering substrate and denning substrate. Statistical process control methods applied to temperature-sensor data identified denning events with 94.5% accuracy in comparison to direct observations (n = 73) and 95.7% accuracy relative to subjective classifications based on temperature, location, and activity sensor data (n = 116). We found an increase in land-based denning during the study period. The frequency of land denning was directly related to the distance that sea ice retreated from the coast. Among females that denned, all 14 that summered on land subsequently denned there, whereas 29% of the 69 bears summering on ice denned on land. These results suggest that denning on land may continue to increase with further loss of sea ice. While the effects that den substrate have on nutrition, energetics, and reproduction are unclear, more polar bears denning onshore will likely increase human-bear interactions.
","language":"English","publisher":"Inter-Research","doi":"10.3354/meps12000","usgsCitation":"Olson, J.W., Rode, K.D., Eggett, D.L., Smith, T.S., Wilson, R.R., Durner, G.M., Fischbach, A., Atwood, T.C., and Douglas, D., 2017, Collar temperature sensor data reveal long-term patterns in southern Beaufort Sea polar bear den distribution on pack ice and land: Marine Ecology Progress Series, v. 564, p. 211-224, https://doi.org/10.3354/meps12000.","productDescription":"14 p.","startPage":"211","endPage":"224","ipdsId":"IP-076135","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":438441,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BP00Z5","text":"USGS data release","linkHelpText":"Denning Behavior Classifications Using Temperature Sensor Data on Collars Deployed on Polar Bears in the Southern Beaufort Sea, 1986-2013"},{"id":349283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","volume":"564","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc1be4b06e28e9c23a3e","contributors":{"authors":[{"text":"Olson, Jay W","contributorId":200778,"corporation":false,"usgs":false,"family":"Olson","given":"Jay","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":723307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eggett, Dennis L.","contributorId":191388,"corporation":false,"usgs":false,"family":"Eggett","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":723308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, T. S.","contributorId":47326,"corporation":false,"usgs":true,"family":"Smith","given":"T.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":723324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, R. R.","contributorId":200779,"corporation":false,"usgs":false,"family":"Wilson","given":"R.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723310,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":200780,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony S.","email":"afischbach@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723311,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723312,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":723313,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70192623,"text":"70192623 - 2017 - An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics","interactions":[],"lastModifiedDate":"2018-05-13T12:10:31","indexId":"70192623","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics","docAbstract":"Ecological invasions and colonizations occur dynamically through space and time. Estimating the distribution and abundance of colonizing species is critical for efficient management or conservation. We describe a statistical framework for simultaneously estimating spatiotemporal occupancy and abundance dynamics of a colonizing species. Our method accounts for several issues that are common when modeling spatiotemporal ecological data including multiple levels of detection probability, multiple data sources, and computational limitations that occur when making fine-scale inference over a large spatiotemporal domain. We apply the model to estimate the colonization dynamics of sea otters (Enhydra lutris) in Glacier Bay, in southeastern Alaska.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1643","usgsCitation":"Williams, P.J., Hooten, M., Womble, J.N., Esslinger, G.G., Bower, M., and Hefley, T.J., 2017, An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics: Ecology, v. 98, no. 2, p. 328-336, https://doi.org/10.1002/ecy.1643.","productDescription":"9 p.","startPage":"328","endPage":"336","ipdsId":"IP-076210","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":461769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.1643","text":"Publisher Index Page"},{"id":348565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-04","publicationStatus":"PW","scienceBaseUri":"5a06c8d2e4b09af898c8614e","contributors":{"authors":[{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":721553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Womble, Jamie N.","contributorId":198631,"corporation":false,"usgs":false,"family":"Womble","given":"Jamie","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":721554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":721555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bower, Michael R.","contributorId":44787,"corporation":false,"usgs":true,"family":"Bower","given":"Michael R.","affiliations":[],"preferred":false,"id":721556,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":721557,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189111,"text":"70189111 - 2017 - In situ nuclear magnetic resonance response of permafrost and active layer soil in boreal and tundra ecosystems","interactions":[],"lastModifiedDate":"2022-04-22T15:53:54.133585","indexId":"70189111","displayToPublicDate":"2017-01-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"In situ nuclear magnetic resonance response of permafrost and active layer soil in boreal and tundra ecosystems","docAbstract":"Characterization of permafrost, particularly warm and near-surface permafrost which can contain significant liquid water, is critical to understanding complex interrelationships with climate change, ecosystems, and disturbances such as wildfires. Understanding the vulnerability and resilience of permafrost requires an interdisciplinary approach, relying on (for example) geophysical investigations, ecological characterization, direct observations, remote sensing, and more. As part of a multi-year investigation into the impacts of wildfires to permafrost, we have collected in situ measurements of the nuclear magnetic resonance (NMR) response of active layer and permafrost in a variety of soil conditions, types, and saturations. In this paper, we summarize the NMR data and present quantitative relationships between active layer and permafrost liquid water content and pore sizes. Through statistical analyses and synthetic freezing simulations, we also demonstrate that borehole NMR can image the nucleation of ice within soil pore spaces.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/tc-2016-256","usgsCitation":"Kass, M.A., Irons, T., Minsley, B.J., Pastick, N.J., Brown, D.R., and Wylie, B.K., 2017, In situ nuclear magnetic resonance response of permafrost and active layer soil in boreal and tundra ecosystems: The Cryosphere, v. 11, p. 2943-2955, https://doi.org/10.5194/tc-2016-256.","productDescription":"13 p.","startPage":"2943","endPage":"2955","ipdsId":"IP-079960","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470110,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-2016-256","text":"Publisher Index Page"},{"id":343186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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and the surrounding permafrost plateau forest, located at Bonanza Creek Long Term Ecological Research Site, Interior Alaska","interactions":[],"lastModifiedDate":"2017-01-20T09:28:11","indexId":"ofr20161173","displayToPublicDate":"2017-01-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1173","title":"Soil data for a thermokarst bog and the surrounding permafrost plateau forest, located at Bonanza Creek Long Term Ecological Research Site, Interior Alaska","docAbstract":"Peatlands play an important role in boreal ecosystems, storing a large amount of soil organic carbon. In northern ecosystems, collapse-scar bogs (also known as thermokarst bogs) often form as the result of ground subsidence following permafrost thaw. To examine how ecosystem carbon balance changes with the loss of permafrost, we measured carbon and nitrogen storage within a thermokarst bog and the surrounding forest, which continues to have permafrost. These sites are a part of the Bonanza Creek Long Term Ecological Research (LTER) site and are located within Interior Alaska. Here, we report on methods used for core collection analysis as well as the cores’ physical, chemical, and descriptive properties.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161173","usgsCitation":"Manies, K.L., Fuller, C.C., Jones, M.C., Waldrop, M.P., and McGeehin, J.P., 2017, Soil data for a thermokarst bog and the surrounding permafrost plateau forest, located at Bonanza Creek Long Term Ecological Research Site, Interior Alaska: U.S. Geological Survey Open-File Report 2016–1173, 11 p., https://dx.doi.org/10.3133/ofr20161173.","productDescription":"iv, 11 p.","startPage":"1","endPage":"11","numberOfPages":"16","onlineOnly":"Y","ipdsId":"IP-076806","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":333517,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1173/ofr20161173_appendix.zip","text":"Data Files","size":"173 kB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2016–1173 Data 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\"}}]}","contact":"Contact Information
Soil Carbon Research - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 962
Menlo Park, CA 94025
https://carbon.wr.usgs.gov/
https://carbon.wr.usgs.gov/people.html
As part of the National Water Availability and Use Program established by the U.S. Geological Survey (USGS) in 2005, this study took advantage of about 14 million records from State-managed collections of water-well drillers’ records and created a database of hydrogeologic properties for the glaciated United States. The water-well drillers’ records were standardized to be relatively complete and error-free and to provide consistent variables and naming conventions that span all State boundaries.
Maps and geospatial grids were developed for (1) total thickness of glacial deposits, (2) total thickness of coarse-grained deposits, (3) specific-capacity based transmissivity and hydraulic conductivity, and (4) texture-based estimated equivalent horizontal and vertical hydraulic conductivity and transmissivity. The information included in these maps and grids is required for most assessments of groundwater availability, in addition to having applications to studies of groundwater flow and transport. The texture-based estimated equivalent horizontal and vertical hydraulic conductivity and transmissivity were based on an assumed range of hydraulic conductivity values for coarse- and fine-grained deposits and should only be used with complete awareness of the methods used to create them. However, the maps and grids of texture-based estimated equivalent hydraulic conductivity and transmissivity may be useful for application to areas where a range of measured values is available for re-scaling.
Maps of hydrogeologic information for some States are presented as examples in this report but maps and grids for all States are available electronically at the project Web site (USGS Glacial Aquifer System Groundwater Availability Study, http://mi.water.usgs.gov/projects/WaterSmart/Map-SIR2015-5105.html) and the Science Base Web site, https://www.sciencebase.gov/catalog/item/58756c7ee4b0a829a3276352.
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5957 Lakeside Blvd
Indianapolis, IN 46278
Phone: (317) 290-3333
https://in.water.usgs.gov/
The 3D Elevation Program (3DEP) is a cooperative activity to collect light detection and ranging (lidar) data for the conterminous United States, Hawaii, and U.S. territories; and interferometric synthetic aperture radar (IfSAR) elevation data for Alaska during an 8-year period. The U.S. Geological Survey (USGS) and partner organizations acquire high-quality three-dimensional elevation data for the United States and its territories that support requirements beyond what could be realized if agencies independently pursued lidar and IfSAR data collection activities. Data collection rates have been increasing as a growing number of State and Federal agencies participate in cooperative data acquisition projects. USGS and partner agencies expanded data collection, completed the initial product delivery systems and implemented changes to the program governance to include a restructuring of the 3DEP working group and formalizing the relationship to the Federal Geographic Data Committee during the final year (2015) of program preparation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20161196","usgsCitation":"Sugarbaker, L.J., Eldridge, D.F., Jason, A.L., Lukas, Vicki, Saghy, D.L., Stoker, J.M., and Thunen, D.R., 2017, Status of the 3D Elevation Program, 2015: U.S. Geological Survey Open-File Report 2016–1196, 13 p., https://dx.doi.org/10.3133/ofr20161196.","productDescription":"v, 13 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077494","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":333332,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20151161 ","text":"Open-File Report 2015–1161 - ","linkHelpText":"Status Report for the 3D Elevation Program, 2013–2014"},{"id":333264,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1196/coverthb.jpg"},{"id":333265,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1196/ofr20161196.pdf","text":"Report","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1196"}],"contact":"Director, National Geospatial Program
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 511
Reston, VA 20192
Email: 3DEP@usgs.gov
https://www.usgs.gov/ngpo/
https://nationalmap.gov/3DEP/
The Iġnik Sikumi Gas Hydrate Exchange Field Experiment was conducted by ConocoPhillips in partnership with the U.S. Department of Energy, the Japan Oil, Gas and Metals National Corporation, and the U.S. Geological Survey within the Prudhoe Bay Unit on the Alaska North Slope during 2011 and 2012. The primary goals of the program were to (1) determine the feasibility of gas injection into hydrate-bearing sand reservoirs and (2) observe reservoir response upon subsequent flowback in order to assess the potential for CO2 exchange for CH4 in naturally occurring gas hydrate reservoirs. Initial modeling determined that no feasible means of injection of pure CO2 was likely, given the presence of free water in the reservoir. Laboratory and numerical modeling studies indicated that the injection of a mixture of CO2 and N2 offered the best potential for gas injection and exchange. The test featured the following primary operational phases: (1) injection of a gaseous phase mixture of CO2, N2, and chemical tracers; (2) flowback conducted at downhole pressures above the stability threshold for native CH4 hydrate; and (3) an extended (30-days) flowback at pressures near, and then below, the stability threshold of native CH4 hydrate. The test findings indicate that the formation of a range of mixed-gas hydrates resulted in a net exchange of CO2 for CH4 in the reservoir, although the complexity of the subsurface environment renders the nature, extent, and efficiency of the exchange reaction uncertain. The next steps in the evaluation of exchange technology should feature multiple well applications; however, such field test programs will require extensive preparatory experimental and numerical modeling studies and will likely be a secondary priority to further field testing of production through depressurization. Additional insights gained from the field program include the following: (1) gas hydrate destabilization is self-limiting, dispelling any notion of the potential for uncontrolled destabilization; (2) gas hydrate test wells must be carefully designed to enable rapid remediation of wellbore blockages that will occur during any cessation in operations; (3) sand production during hydrate production likely can be managed through standard engineering controls; and (4) reservoir heat exchange during depressurization was more favorable than expected—mitigating concerns for near-wellbore freezing and enabling consideration of more aggressive pressure reduction.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.energyfuels.6b01909","usgsCitation":"Boswell, R., Schoderbek, D., Collett, T.S., Ohtsuki, S., White, M., and Anderson, B.J., 2017, The Iġnik Sikumi Field Experiment, Alaska North Slope: Design, operations, and implications for CO2−CH4 exchange in gas hydrate reservoirs: Energy & Fuels, v. 31, no. 1, p. 140-153, https://doi.org/10.1021/acs.energyfuels.6b01909.","productDescription":"14 p.","startPage":"140","endPage":"153","ipdsId":"IP-074604","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":333052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-14","publicationStatus":"PW","scienceBaseUri":"58772077e4b0315b4c11fe24","contributors":{"authors":[{"text":"Boswell, Ray","contributorId":12307,"corporation":false,"usgs":true,"family":"Boswell","given":"Ray","affiliations":[],"preferred":false,"id":658205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoderbek, David","contributorId":178207,"corporation":false,"usgs":false,"family":"Schoderbek","given":"David","email":"","affiliations":[],"preferred":false,"id":658206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":658204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ohtsuki, Satoshi","contributorId":150141,"corporation":false,"usgs":false,"family":"Ohtsuki","given":"Satoshi","email":"","affiliations":[{"id":17917,"text":"Japan Oil, Gas and Metals National Corporation","active":true,"usgs":false}],"preferred":false,"id":658208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Mark","contributorId":150142,"corporation":false,"usgs":false,"family":"White","given":"Mark","email":"","affiliations":[{"id":6727,"text":"Pacific Northwest National Laboratory, Richland, WA","active":true,"usgs":false}],"preferred":false,"id":658209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Brian J.","contributorId":147120,"corporation":false,"usgs":false,"family":"Anderson","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":658207,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191868,"text":"70191868 - 2017 - Synthesis","interactions":[],"lastModifiedDate":"2020-08-20T19:42:45.205791","indexId":"70191868","displayToPublicDate":"2017-01-01T15:22:42","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"9","title":"Synthesis","docAbstract":"The goal of this report is to examine changes in the current environment and living conditions of the coastal and tundra communities of northwestern Canada, northern Alaska, and the northern Far East of Russia – the Bering-Chukchi-Beaufort (BCB) region – and to understand how people are coping and adapting to these changes. The report seeks to describe how life in this region is changing in the context of the recent past; to project the likely future changes in the environmental, economic, and social systems; and to provide information for northern residents in preparing for and adapting to an uncertain future.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Adaptation actions for a changing arctic: Perspectives from the Bering Chukchi-Beaufort Region","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Arctic Monitoring and Assessment Programme (AMAP)","usgsCitation":"Hinzman, L.D., Outridge, P., Gamble, J.M., Thorsteinson, L.K., Trainor, S., Walsh, J., and Klepikov, A., 2017, Synthesis, chap. 9 of Adaptation actions for a changing arctic: Perspectives from the Bering Chukchi-Beaufort Region, p. 239-253.","productDescription":"15 p.","startPage":"239","endPage":"253","ipdsId":"IP-076850","costCenters":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"links":[{"id":361434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361433,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.amap.no/documents/doc/adaptation-actions-for-a-changing-arctic-perspectives-from-the-bering-chukchi-beaufort-region/1615"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hinzman, Larry D.","contributorId":97133,"corporation":false,"usgs":true,"family":"Hinzman","given":"Larry","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":757790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Outridge, Peter","contributorId":168749,"corporation":false,"usgs":false,"family":"Outridge","given":"Peter","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":757791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gamble, James M.","contributorId":100061,"corporation":false,"usgs":true,"family":"Gamble","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":757792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thorsteinson, Lyman K. lthorsteinson@usgs.gov","contributorId":3000,"corporation":false,"usgs":true,"family":"Thorsteinson","given":"Lyman","email":"lthorsteinson@usgs.gov","middleInitial":"K.","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":713466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trainor, Sarah F.","contributorId":21396,"corporation":false,"usgs":true,"family":"Trainor","given":"Sarah F.","affiliations":[],"preferred":false,"id":757793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walsh, John E.","contributorId":81784,"corporation":false,"usgs":true,"family":"Walsh","given":"John E.","affiliations":[],"preferred":false,"id":757794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klepikov, Alexander","contributorId":206403,"corporation":false,"usgs":false,"family":"Klepikov","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":757795,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70200457,"text":"70200457 - 2017 - Changing water dynamics: The consequences of shifting snow, ice, and running water for ecosystems, people, and national forests in Alaska","interactions":[],"lastModifiedDate":"2018-11-16T14:06:39","indexId":"70200457","displayToPublicDate":"2017-01-01T14:06:33","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":21,"text":"Fact Sheet","active":false,"publicationSubtype":{"id":1}},"title":"Changing water dynamics: The consequences of shifting snow, ice, and running water for ecosystems, people, and national forests in Alaska","docAbstract":"Ecosystems of Alaska are rain-, snow-, and ice-driven systems. Consequently, the status of water—liquid or solid—strongly in uences resources and the people using ecosystem services. This document examines changes in water dynamics, the resulting consequences for ecosystems and people, and management options for adapting to changing conditions.\nChanges in snow, ice, and water ripple through ecosystems, social systems, and culture. State-wide patterns provide context to understand changing water dynamics in southcentral and southeastern Alaska associated with lands managed by the National Forest System.","language":"English","publisher":"U.S. Forest Service","usgsCitation":"Hayward, G., Johnson, E., Walker, N., Littell, J., and Thompson, J., 2017, Changing water dynamics: The consequences of shifting snow, ice, and running water for ecosystems, people, and national forests in Alaska: Fact Sheet, 20 p.","productDescription":"20 p.","ipdsId":"IP-092075","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":359524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358517,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.fed.us/sites/default/files/r10-droughtfactsheet.pdf"}],"country":"United 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0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":748959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Julianne","contributorId":210670,"corporation":false,"usgs":false,"family":"Thompson","given":"Julianne","email":"","affiliations":[],"preferred":false,"id":751424,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194309,"text":"70194309 - 2017 - Climate changes and wildfire alter vegetation of Yellowstone National Park, but forest cover persists","interactions":[],"lastModifiedDate":"2017-11-22T11:44:21","indexId":"70194309","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Climate changes and wildfire alter vegetation of Yellowstone National Park, but forest cover persists","docAbstract":"We present landscape simulation results contrasting effects of changing climates on forest vegetation and fire regimes in Yellowstone National Park, USA, by mid-21st century. We simulated potential changes to fire dynamics and forest characteristics under three future climate projections representing a range of potential future conditions using the FireBGCv2 model. Under the future climate scenarios with moderate warming (>2°C) and moderate increases in precipitation (3–5%), model simulations resulted in 1.2–4.2 times more burned area, decreases in forest cover (10–44%), and reductions in basal area (14–60%). In these same scenarios, lodgepole pine (Pinus contorta) decreased in basal area (18–41%), while Douglas-fir (Pseudotsuga menziesii) basal area increased (21–58%). Conversely, mild warming (<2°C) coupled with greater increases in precipitation (12–13%) suggested an increase in forest cover and basal area by mid-century, with spruce and subalpine fir increasing in abundance. Overall, we found changes in forest tree species compositions were caused by the climate-mediated changes in fire regime (56–315% increase in annual area burned). Simulated changes in forest composition and fire regime under warming climates portray a landscape that shifts from lodgepole pine to Douglas-fir caused by the interaction between the magnitude and seasonality of future climate changes, by climate-induced changes in the frequency and intensity of wildfires, and by tree species response.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1636","usgsCitation":"Clark, J.A., Loehman, R.A., and Keane, R.E., 2017, Climate changes and wildfire alter vegetation of Yellowstone National Park, but forest cover persists: Ecosphere, v. 8, no. 1, e01636; 16 p., https://doi.org/10.1002/ecs2.1636.","productDescription":"e01636; 16 p.","ipdsId":"IP-074562","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":461809,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1636","text":"Publisher Index Page"},{"id":349270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.0498046875,\n 44.44750680513074\n ],\n [\n -110.3082275390625,\n 44.44750680513074\n ],\n [\n -110.3082275390625,\n 44.99394031891056\n ],\n [\n -111.0498046875,\n 44.99394031891056\n ],\n [\n -111.0498046875,\n 44.44750680513074\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-25","publicationStatus":"PW","scienceBaseUri":"5a60fc3ce4b06e28e9c23be4","contributors":{"authors":[{"text":"Clark, Jason A.","contributorId":168604,"corporation":false,"usgs":false,"family":"Clark","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":16761,"text":"Institute of Northern Engineering, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":723214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":723213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keane, Robert E.","contributorId":200723,"corporation":false,"usgs":false,"family":"Keane","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":723215,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188888,"text":"70188888 - 2017 - Tectonic evolution","interactions":[],"lastModifiedDate":"2018-05-21T14:21:47","indexId":"70188888","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Tectonic evolution","docAbstract":"The middle Paleozoic through Present tectonic evolution of the Northern Cordillera is portrayed in a series of 15 Tectonic Model figures. These figures depict the successive stages of formation and accretion of orogenic collages along the western margin of the North American Plate (craton and craton margin) and adjacent marine areas. The orogenic collages are composed of terranes and overlap assemblages. The terranes are tectonic (fault-bounded) fragments of island arcs and continental-margin arcs, subduction-zones, oceanic lithosphere, craton margins, and cratons. The overlap assemblages are sequences of mainly late Mesozoic and Cenozoic continental-margin-arc and sedimentary-basin assemblages that were deposited on subjacent terranes and on subjacent craton margin assemblages, following their tectonic assembly.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic geology of the Northern Cordillera (Alaska and Western Canada) and adjacent marine areas: Tectonics, hazards, and resources","language":"English","publisher":"University of Alaska, Fairbanks","usgsCitation":"Nokleberg, W.J., Monger, J.W., Stone, D.B., Bundtzen, T.K., and Scholl, D.W., 2017, Tectonic evolution, chap. of Dynamic geology of the Northern Cordillera (Alaska and Western Canada) and adjacent marine areas: Tectonics, hazards, and resources, E-Book.","productDescription":"E-Book","ipdsId":"IP-072754","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":352486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352437,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11122/7994"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f8e4b0da30c1bfc4fc","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":700838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monger, James W.H.","contributorId":193571,"corporation":false,"usgs":false,"family":"Monger","given":"James","email":"","middleInitial":"W.H.","affiliations":[],"preferred":false,"id":700839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, David B.","contributorId":193572,"corporation":false,"usgs":false,"family":"Stone","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bundtzen, Thomas K.","contributorId":192968,"corporation":false,"usgs":false,"family":"Bundtzen","given":"Thomas","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":700841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scholl, David W. 0000-0001-6500-6962 dscholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6500-6962","contributorId":3738,"corporation":false,"usgs":true,"family":"Scholl","given":"David","email":"dscholl@usgs.gov","middleInitial":"W.","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":700842,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186169,"text":"70186169 - 2017 - Summer habitat selection by Dall’s sheep in Wrangell-St. Elias National Park and Preserve, Alaska","interactions":[],"lastModifiedDate":"2017-03-30T15:13:22","indexId":"70186169","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","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":"Summer habitat selection by Dall’s sheep in Wrangell-St. Elias National Park and Preserve, Alaska","docAbstract":"Sexual segregation occurs frequently in sexually dimorphic species, and it may be influenced by differential habitat requirements between sexes or by social or evolutionary mechanisms that maintain separation of sexes regardless of habitat selection. Understanding the degree of sex-specific habitat specialization is important for management of wildlife populations and the design of monitoring and research programs. Using mid-summer aerial survey data for Dall’s sheep (Ovis dalli dalli) in southern Alaska during 1983–2011, we assessed differences in summer habitat selection by sex and reproductive status at the landscape scale in Wrangell-St. Elias National Park and Preserve (WRST). Males and females were highly segregated socially, as were females with and without young. Resource selection function (RSF) models containing rugged terrain, intermediate values of the normalized difference vegetation index (NDVI), and open landcover types best explained resource selection by each sex, female reproductive classes, and all sheep combined. For male and all female models, most coefficients were similar, suggesting little difference in summer habitat selection between sexes at the landscape scale. A combined RSF model therefore may be used to predict the relative probability of resource selection by Dall’s sheep in WRST regardless of sex or reproductive status.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyw135","usgsCitation":"Roffler, G.H., Adams, L., and Hebblewhite, M., 2017, Summer habitat selection by Dall’s sheep in Wrangell-St. Elias National Park and Preserve, Alaska: Journal of Mammalogy, v. 98, no. 1, p. 94-105, https://doi.org/10.1093/jmammal/gyw135.","productDescription":"12 p.","startPage":"94","endPage":"105","ipdsId":"IP-060082","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyw135","text":"Publisher Index Page"},{"id":338838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"98","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-17","publicationStatus":"PW","scienceBaseUri":"58de194fe4b02ff32c699ca1","chorus":{"doi":"10.1093/jmammal/gyw135","url":"http://dx.doi.org/10.1093/jmammal/gyw135","publisher":"Oxford University Press (OUP)","authors":"Roffler Gretchen H., Adams Layne G., Hebblewhite Mark","journalName":"Journal of Mammalogy","publicationDate":"9/17/2016"},"contributors":{"authors":[{"text":"Roffler, Gretchen H. groffler@usgs.gov","contributorId":1946,"corporation":false,"usgs":true,"family":"Roffler","given":"Gretchen","email":"groffler@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":687742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":687741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hebblewhite, Mark","contributorId":190188,"corporation":false,"usgs":false,"family":"Hebblewhite","given":"Mark","email":"","affiliations":[],"preferred":false,"id":687743,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192672,"text":"70192672 - 2017 - A guide to multi-objective optimization for ecological problems with an application to cackling goose management","interactions":[],"lastModifiedDate":"2017-11-08T15:04:05","indexId":"70192672","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"A guide to multi-objective optimization for ecological problems with an application to cackling goose management","docAbstract":"Choices in ecological research and management are the result of balancing multiple, often competing, objectives. Multi-objective optimization (MOO) is a formal decision-theoretic framework for solving multiple objective problems. MOO is used extensively in other fields including engineering, economics, and operations research. However, its application for solving ecological problems has been sparse, perhaps due to a lack of widespread understanding. Thus, our objective was to provide an accessible primer on MOO, including a review of methods common in other fields, a review of their application in ecology, and a demonstration to an applied resource management problem.
A large class of methods for solving MOO problems can be separated into two strategies: modelling preferences pre-optimization (the a priori strategy), or modelling preferences post-optimization (the a posteriori strategy). The a priori strategy requires describing preferences among objectives without knowledge of how preferences affect the resulting decision. In the a posteriori strategy, the decision maker simultaneously considers a set of solutions (the Pareto optimal set) and makes a choice based on the trade-offs observed in the set. We describe several methods for modelling preferences pre-optimization, including: the bounded objective function method, the lexicographic method, and the weighted-sum method. We discuss modelling preferences post-optimization through examination of the Pareto optimal set. We applied each MOO strategy to the natural resource management problem of selecting a population target for cackling goose (Branta hutchinsii minima) abundance. Cackling geese provide food security to Native Alaskan subsistence hunters in the goose's nesting area, but depredate crops on private agricultural fields in wintering areas. We developed objective functions to represent the competing objectives related to the cackling goose population target and identified an optimal solution first using the a priori strategy, and then by examining trade-offs in the Pareto set using the a posteriori strategy. We used four approaches for selecting a final solution within the a posteriori strategy; the most common optimal solution, the most robust optimal solution, and two solutions based on maximizing a restricted portion of the Pareto set. We discuss MOO with respect to natural resource management, but MOO is sufficiently general to cover any ecological problem that contains multiple competing objectives that can be quantified using objective functions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.10.010","usgsCitation":"Williams, P.J., and Kendall, W., 2017, A guide to multi-objective optimization for ecological problems with an application to cackling goose management: Ecological Modelling, v. 343, p. 54-67, https://doi.org/10.1016/j.ecolmodel.2016.10.010.","productDescription":"14 p.","startPage":"54","endPage":"67","ipdsId":"IP-074514","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470233,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2016.10.010","text":"Publisher Index Page"},{"id":348487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"343","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bde4b0dc0b45b453c5","contributors":{"authors":[{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":721333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716696,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192976,"text":"70192976 - 2017 - Remote measurement of surface-water velocity using infrared videography and PIV: a proof-of-concept for Alaskan rivers","interactions":[],"lastModifiedDate":"2018-02-15T10:51:40","indexId":"70192976","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Remote measurement of surface-water velocity using infrared videography and PIV: a proof-of-concept for Alaskan rivers","docAbstract":"Thermal cameras with high sensitivity to medium and long wavelengths can resolve features at the surface of flowing water arising from turbulent mixing. \nImages acquired by these cameras can be processed with particle image velocimetry (PIV) to compute surface velocities based on the displacement of thermal features as they advect with the flow. \nWe conducted a series of field measurements to test this methodology for remote sensing of surface velocities in rivers. \nWe positioned an infrared video camera at multiple stations across bridges that spanned five rivers in Alaska. \nSimultaneous non-contact measurements of surface velocity were collected with a radar gun. \nIn situ velocity profiles were collected with Acoustic Doppler Current Profilers (ADCP). \nInfrared image time series were collected at a frequency of 10Hz for a one-minute duration at a number of stations spaced across each bridge. \nCommercial PIV software used a cross-correlation algorithm to calculate pixel displacements between successive frames, which were then scaled to produce surface velocities. \nA blanking distance below the ADCP prevents a direct measurement of the surface velocity. \nHowever, we estimated surface velocity from the ADCP measurements using a program that normalizes each ADCP transect and combines those normalized transects to compute a mean measurement profile. \nThe program can fit a power law to the profile and in so doing provides a velocity index, the ratio between the depth-averaged and surface velocity. \nFor the rivers in this study, the velocity index ranged from 0.82 – 0.92. Average radar and extrapolated ADCP surface velocities were in good agreement with average infrared PIV calculations.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"E-proceedings of the 37th IAHR World Congress","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"37th IAHR World Congress","conferenceDate":"August 13-18, 2017","conferenceLocation":"Kuala Lumpur, Malaysia","language":"English","publisher":"IAHR","usgsCitation":"Kinzel, P.J., Legleiter, C.J., Nelson, J.M., and Conaway, J.S., 2017, Remote measurement of surface-water velocity using infrared videography and PIV: a proof-of-concept for Alaskan rivers, in E-proceedings of the 37th IAHR World Congress, Kuala Lumpur, Malaysia, August 13-18, 2017, p. 1-9.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-085349","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":351648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351647,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.iahrworldcongress.org/index.php/submission/congress-proceedings"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4e4","contributors":{"authors":[{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":717508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":717509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conaway, Jeffrey S. 0000-0002-3036-592X jconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":2026,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeffrey","email":"jconaway@usgs.gov","middleInitial":"S.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":717510,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206539,"text":"70206539 - 2017 - Hydrologic and geomorphic changes resulting from episodic glacial lake outburst floods: Rio Colonia, Patagonia, Chile","interactions":[],"lastModifiedDate":"2019-11-08T10:04:25","indexId":"70206539","displayToPublicDate":"2016-12-21T09:56:21","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic and geomorphic changes resulting from episodic glacial lake outburst floods: Rio Colonia, Patagonia, Chile","docAbstract":"Glacial lake outburst floods (GLOFs) are a prominent but poorly understood cryospheric hazard in a warming climate. We quantify the hydrologic and geomorphic response to 21 episodic GLOFs that began in April 2008 using multitemporal satellite imagery and field observations. Peak discharge exiting the source lake became progressively muted downstream. At ~40–60 km downstream, where the floods entered and traveled down the main stem Rio Baker, peak discharges were generally < 2000 m3 s−1, although these flows were still >1–2 times the peak annual discharge of this system, Chile's largest river by volume. As such, caution must be applied to empirical relationships relating lake volume to peak discharge, as the latter is dependent on where this observation is made along the flood path. The GLOFs and subsequent periods of free drainage resulted in > 40 m of incision, the net removal of ~25 × 106 m3 of sediment from the source lake basin, and a nonsteady channel configuration downstream. These results demonstrate that GLOFs sourced from low‐order tributaries can produce significant floods on major main stem rivers, in addition to significantly altering sediment dynamics.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL071374","usgsCitation":"Jacquet, J., McCoy, S., Mcgrath, D., Nimick, D., Fahey, M., O’kuinghttons, J., Friesen, B., and Leidich, J., 2017, Hydrologic and geomorphic changes resulting from episodic glacial lake outburst floods: Rio Colonia, Patagonia, Chile: Geophysical Research Letters, v. 44, no. 2, p. 854-864, https://doi.org/10.1002/2016GL071374.","productDescription":"11 p.","startPage":"854","endPage":"864","ipdsId":"IP-079971","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470190,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl071374","text":"Publisher Index Page"},{"id":369086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Cachet‐Colonia‐Baker Valley, Patagonia, Rio Colonia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.443603515625,\n -47.392771444278026\n ],\n [\n -73.004150390625,\n -47.392771444278026\n ],\n [\n -73.004150390625,\n -47.04065008156504\n ],\n [\n -73.443603515625,\n -47.04065008156504\n ],\n [\n -73.443603515625,\n -47.392771444278026\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Jacquet, J.","contributorId":220403,"corporation":false,"usgs":false,"family":"Jacquet","given":"J.","email":"","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":774910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, S.W.","contributorId":192978,"corporation":false,"usgs":false,"family":"McCoy","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":774911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":774909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nimick, David 0000-0002-8532-9192 dnimick@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-9192","contributorId":220407,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fahey, Mark 0000-0002-1853-6992 mjfahey@usgs.gov","orcid":"https://orcid.org/0000-0002-1853-6992","contributorId":220404,"corporation":false,"usgs":true,"family":"Fahey","given":"Mark","email":"mjfahey@usgs.gov","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":true,"id":774912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’kuinghttons, J.","contributorId":220405,"corporation":false,"usgs":false,"family":"O’kuinghttons","given":"J.","email":"","affiliations":[{"id":40165,"text":"Ministry of Public Works, Chile","active":true,"usgs":false}],"preferred":false,"id":774913,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Friesen, B.A.","contributorId":220406,"corporation":false,"usgs":false,"family":"Friesen","given":"B.A.","email":"","affiliations":[{"id":37275,"text":"none","active":true,"usgs":false}],"preferred":false,"id":774914,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leidich, J.","contributorId":220408,"corporation":false,"usgs":false,"family":"Leidich","given":"J.","affiliations":[{"id":12885,"text":"Patagonia Adventure Expeditions","active":true,"usgs":false}],"preferred":false,"id":774916,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70206542,"text":"70206542 - 2017 - Links between atmosphere, ocean, and cryosphere from two decades of microseism observations on the Antarctic Peninsula","interactions":[],"lastModifiedDate":"2019-11-08T09:55:46","indexId":"70206542","displayToPublicDate":"2016-12-16T09:51:10","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Links between atmosphere, ocean, and cryosphere from two decades of microseism observations on the Antarctic Peninsula","docAbstract":"The lack of landmasses, climatological low pressure, and strong circumpolar westerly winds between the latitudes of 50°S to 65°S produce exceptional storm‐driven wave conditions in the Southern Ocean. This combination makes the Antarctic Peninsula one of Earth's most notable regions of high‐amplitude wave activity and thus, ocean‐swell‐driven microseism noise in both the primary (direct wave‐coastal region interactions) and secondary (direct ocean floor forcing due to interacting wave trains) period bands. Microseism observations are examined across 23 years (1993–2015) from Palmer Station (PMSA), on the west coast of the Antarctic Peninsula, and from East Falkland Island (EFI). These records provide a spatially integrative measure of both Southern Ocean wave amplitudes and the interactions between ocean waves and the solid Earth in the presence of sea ice, which can reduce wave coupling with the continental shelf. We utilize a spatiotemporal correlation‐based approach to illuminate how the distribution of sea ice influences seasonal microseism power. We characterize primary and secondary microseism power due to variations in sea ice and find that primary microseism energy is both more sensitive to sea ice and more capable of propagating across ocean basins than secondary microseism energy. During positive phases of the Southern Annular Mode, sea ice is reduced in the Bellingshausen Sea and overall storm activity in the Drake Passage increases, thus strongly increasing microseism power levels.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JF004098","usgsCitation":"Anthony, R.E., Aster, R.C., and Mcgrath, D., 2017, Links between atmosphere, ocean, and cryosphere from two decades of microseism observations on the Antarctic Peninsula: Journal of Geophysical Research: Earth Surface, v. 122, no. 1, p. 153-166, https://doi.org/10.1002/2016JF004098.","productDescription":"14 p.","startPage":"153","endPage":"166","ipdsId":"IP-080931","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jf004098","text":"Publisher Index Page"},{"id":369085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Antarctica","otherGeospatial":"Antarctic Penninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.296875,\n -82.9403268016951\n ],\n [\n 2.4609375,\n -82.9403268016951\n ],\n [\n 2.4609375,\n -60.32694774299839\n ],\n [\n -89.296875,\n -60.32694774299839\n ],\n [\n -89.296875,\n -82.9403268016951\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Robert E.","contributorId":220411,"corporation":false,"usgs":false,"family":"Anthony","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":774918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aster, Richard C. 0000-0002-0821-4906","orcid":"https://orcid.org/0000-0002-0821-4906","contributorId":194410,"corporation":false,"usgs":false,"family":"Aster","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":774919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":774917,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199696,"text":"70199696 - 2017 - Legacy or colonization? Posteruption establishment of peregrine falcons (Falco peregrinus) on a volcanically active subarctic island.","interactions":[],"lastModifiedDate":"2018-09-26T16:05:47","indexId":"70199696","displayToPublicDate":"2016-09-25T15:04:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Legacy or colonization? Posteruption establishment of peregrine falcons (Falco peregrinus) on a volcanically active subarctic island.","docAbstract":"How populations and communities reassemble following disturbances are affected by a number of factors, with the arrival order of founding populations often having a profound influence on later populations and community structure. Kasatochi Island is a small volcano located in the central Aleutian archipelago that erupted violently August 8, 2008, sterilizing the island of avian biodiversity. Prior to the eruption, Kasatochi was the center of abundance for breeding seabirds in the central Aleutian Islands and supported several breeding pairs of peregrine falcons (Falco peregrinus). We examined the reestablishment of peregrine falcons on Kasatochi by evaluating the genetic relatedness among legacy samples collected in 2006 to those collected posteruption and to other falcons breeding along the archipelago. No genotypes found in posteruption samples were identical to genotypes collected from pre-eruption samples. However, genetic analyses suggest that individuals closely related to peregrine falcons occupying pre-eruption Kasatochi returned following the eruption and successfully fledged young; thus, a genetic legacy of pre-eruption falcons was present on posteruption Kasatochi Island. We hypothesize that the rapid reestablishment of peregrine falcons on Kasatochi was likely facilitated by behavioral characteristics of peregrine falcons breeding in the Aleutian Islands, such as year-round residency and breeding site fidelity, the presence of an abundant food source (seabirds), and limited vegetation requirements by seabirds and falcons.
","doi":"10.1002/ece3.2631","usgsCitation":"Sonsthagen, S.A., Williams, J., Drew, G.S., White, C., Sage, G.K., and Talbot, S.L., 2017, Legacy or colonization? Posteruption establishment of peregrine falcons (Falco peregrinus) on a volcanically active subarctic island.: Ecology and Evolution, v. 7, no. 1, p. 107-114, https://doi.org/10.1002/ece3.2631.","productDescription":"8 p.","startPage":"107","endPage":"114","ipdsId":"IP-053407 ","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470223,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2631","text":"Publisher Index Page"},{"id":357717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kasatochi Island ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -175.52959442138672,\n 52.1600333315075\n ],\n [\n -175.52959442138672,\n 52.18587870630056\n ],\n [\n -175.4922580718994,\n 52.18587870630056\n ],\n [\n -175.4922580718994,\n 52.1600333315075\n ],\n [\n -175.52959442138672,\n 52.1600333315075\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2016-12-12","publicationStatus":"PW","scienceBaseUri":"5bc03221e4b0fc368eb53a54","contributors":{"authors":[{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":746239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, J.C.","contributorId":50109,"corporation":false,"usgs":true,"family":"Williams","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":746240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drew, Gary S. 0000-0002-6789-0891 gdrew@usgs.gov","orcid":"https://orcid.org/0000-0002-6789-0891","contributorId":3311,"corporation":false,"usgs":true,"family":"Drew","given":"Gary","email":"gdrew@usgs.gov","middleInitial":"S.","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":746245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, C.M.","contributorId":97459,"corporation":false,"usgs":true,"family":"White","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":746242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sage, G. Kevin 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":4348,"corporation":false,"usgs":true,"family":"Sage","given":"G.","email":"ksage@usgs.gov","middleInitial":"Kevin","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":746243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":746244,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70182775,"text":"70182775 - 2017 - Biogeography of boreal passerine range dynamics in western North America: past, present, and future","interactions":[],"lastModifiedDate":"2017-09-05T12:59:52","indexId":"70182775","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1446,"text":"Ecography: Pattern and Diversity in Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Biogeography of boreal passerine range dynamics in western North America: past, present, and future","docAbstract":"Many of the Neotropical migrant bird species that breed throughout the Canadian boreal region are not found in the Alaskan boreal region, separated by the northwestern cordilleran mountains, despite the presence of climatically suitable habitat. We asked whether biological or climatic factors constrain certain species from crossing this geographic barrier. Analyzing a comprehensive dataset for 80 boreal passerine species, we used phylogenetic logistic regression to evaluate the relative importance of physical, migratory and competition metrics versus current and paleoclimatic suitability factors. Controlling for current climatic suitability within boreal Alaska, we found that species with the greatest climatic suitability across the northwestern cordillera, presently and also during the mid-Holocene period, were most likely to be regular breeders in the Alaskan boreal region. Migratory strategy also played a role, but could not be disentangled from its strong phylogenetic basis. Our analysis suggests that the perceived barrier of the northwestern cordillera may be easily weakened as climate change improves conditions there for many forest species. The weakening of this barrier may lead to relatively rapid range expansions and the reshuffling of species communities. Species’ realized distributional shifts will be a function of the interplay between a changing climate and static topographic features.
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.02393","usgsCitation":"Stralberg, D., Matsuoka, S.M., Handel, C.M., Schmiegelow, F.K., Hamann, A., and Bayne, E.M., 2017, Biogeography of boreal passerine range dynamics in western North America: past, present, and future: Ecography: Pattern and Diversity in Ecology, v. 40, no. 9, p. 1050-1066, https://doi.org/10.1111/ecog.02393.","productDescription":"17 p.","startPage":"1050","endPage":"1066","ipdsId":"IP-076123","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":336723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-26","publicationStatus":"PW","scienceBaseUri":"58b7eba7e4b01ccd5500bb0d","contributors":{"authors":[{"text":"Stralberg, Diana","contributorId":187413,"corporation":false,"usgs":false,"family":"Stralberg","given":"Diana","email":"","affiliations":[],"preferred":false,"id":680372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matsuoka, Steven M. 0000-0001-6415-1885 smatsuoka@usgs.gov","orcid":"https://orcid.org/0000-0001-6415-1885","contributorId":184173,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Steven","email":"smatsuoka@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":673712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":673711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmiegelow, Fiona K.A.","contributorId":187414,"corporation":false,"usgs":false,"family":"Schmiegelow","given":"Fiona","email":"","middleInitial":"K.A.","affiliations":[],"preferred":false,"id":680373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamann, Andreas","contributorId":187415,"corporation":false,"usgs":false,"family":"Hamann","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":680374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bayne, Erin M.","contributorId":140675,"corporation":false,"usgs":false,"family":"Bayne","given":"Erin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":680375,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}