Population viability analyses are useful tools to predict abundance and extinction risk for imperiled species. In southeastern North America, the federally threatened gopher tortoise (Gopherus polyphemus) is a keystone species in the diverse and imperiled longleaf pine (Pinus palustris) ecosystem, and researchers have suggested that tortoise populations are declining and characterized by high extinction risk. We report results from a 30-year demographic study of gopher tortoises in southern Alabama (1991–2020), where 3 populations have been stable and 3 others have declined. To better understand the demographic vital rates associated with stable and declining tortoise populations, we used a multi-state hierarchical mark-recapture model to estimate sex- and stage-specific patterns of demographic vital rates at each population. We then built a predictive population model to project population dynamics and evaluate extinction risk in a population viability context. Population structure did not change significantly in stable populations, but juveniles became less abundant in declining populations over 30 years. Apparent survival varied by age, sex, and site; adults had higher survival than juveniles, but female survival was substantially lower in declining populations than in stable ones. Using simulations, we predicted that stable populations with high female survival would persist over the next 100 years but sites with lower female survival would decline, become male-biased, and be at high risk of extirpation. Stable populations were most sensitive to changes in apparent survival of adult females. Because local populations varied greatly in vital rates, our analysis improves upon previous demographic models for northern populations of gopher tortoises by accounting for population-level variation in demographic patterns and, counter to previous model predictions, suggests that small tortoise populations can persist when habitat is managed effectively. © 2021 The Wildlife Society.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21996","usgsCitation":"Folt, B., Goessling, J., Tucker, A., Guyer, C., Herman, S., Shelton-Nix, E., and McGowan, C.P., 2021, Contrasting patterns of demography and population viability among gopher tortoise (Gopherus polyphemus) populations at the species’ northern range edge: Journal of Wildlife Management, v. 85, no. 4, p. 617-630, https://doi.org/10.1002/jwmg.21996.","productDescription":"14 p.","startPage":"617","endPage":"630","ipdsId":"IP-118037","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Conecuh National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.73568725585938,\n 31.00115451727899\n ],\n [\n -86.53656005859375,\n 31.00115451727899\n ],\n [\n -86.53656005859375,\n 31.129374846459353\n ],\n [\n -86.73568725585938,\n 31.129374846459353\n ],\n [\n -86.73568725585938,\n 31.00115451727899\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Folt, Brian","contributorId":267702,"corporation":false,"usgs":false,"family":"Folt","given":"Brian","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":834562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goessling, J.M.","contributorId":276114,"corporation":false,"usgs":false,"family":"Goessling","given":"J.M.","email":"","affiliations":[{"id":56925,"text":"Eckerd College","active":true,"usgs":false}],"preferred":false,"id":834563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, A. M.","contributorId":243202,"corporation":false,"usgs":false,"family":"Tucker","given":"A. M.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":834564,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guyer, C.","contributorId":267706,"corporation":false,"usgs":false,"family":"Guyer","given":"C.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":834565,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herman, S.","contributorId":276115,"corporation":false,"usgs":false,"family":"Herman","given":"S.","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":834566,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shelton-Nix, E.","contributorId":276116,"corporation":false,"usgs":false,"family":"Shelton-Nix","given":"E.","email":"","affiliations":[{"id":56927,"text":"Alabama Department of Conservation and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":834567,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":834568,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70228568,"text":"70228568 - 2021 - Waif gopher tortoise survival and site fidelity following translocation","interactions":[],"lastModifiedDate":"2022-02-15T12:03:20.956511","indexId":"70228568","displayToPublicDate":"2021-02-28T12:46:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Waif gopher tortoise survival and site fidelity following translocation","docAbstract":"Gopher tortoises (Gopherus polyphemus) are among the most commonly translocated reptiles. Waif tortoises are animals frequently of unknown origin that have been displaced from the wild and often held in human possession for various reasons and durations. Although there are risks associated with any translocation, waif tortoises are generally excluded from translocation projects because of heightened concerns of introducing pathogens and uncertainty about the post-release survival of these individuals. If these risks could be managed, waif tortoises could have conservation value because they can provide the needed numbers to stabilize populations. In the early 1990s, the discovery of an isolated population of gopher tortoises (≤15 individuals) near Aiken, South Carolina, USA, prioritized establishment of the Aiken Gopher Tortoise Heritage Preserve (AGTHP). Because of the population's need for augmentation and the site's isolation from other tortoise populations, the AGTHP provided the opportunity to evaluate the post-release survival of translocated waif tortoises without compromising a viable population. Since 2006, >260 waif tortoises have been introduced to the preserve. Using a Cormack-Jolly-Seber modeling framework to analyze release records and capture histories from trapping efforts in 2017 and 2018, we estimated the long-term apparent survival and site fidelity of this population composed largely of waif tortoises. We estimated annual apparent survival probabilities to be high (≥0.90) for subadult, adult male, and adult female tortoises, and these rates were similar to those reported for wild-to-wild translocated gopher tortoises and those from unmanipulated populations. Of the tortoises recaptured within the boundaries of the preserve, 75% were located within 400 m of their release location. These results suggest that waif tortoises could be an important resource in reducing the extirpation risk of isolated populations. © 2021 The Wildlife Society.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21998","usgsCitation":"McKee, R., Buhlmann, K., Moore, C.T., Hepinstall-Cymerman, J., and Tuberville, T., 2021, Waif gopher tortoise survival and site fidelity following translocation: Journal of Wildlife Management, v. 85, no. 4, p. 640-653, https://doi.org/10.1002/jwmg.21998.","productDescription":"14 p.","startPage":"640","endPage":"653","ipdsId":"IP-118119","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467254,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1817662","text":"External Repository"},{"id":395906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","county":"Aiken County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-81.5751,33.8751],[-81.5656,33.8697],[-81.5468,33.8593],[-81.5428,33.8548],[-81.5333,33.8348],[-81.5211,33.8258],[-81.5044,33.809],[-81.4872,33.8055],[-81.4601,33.7988],[-81.4318,33.7748],[-81.4323,33.7611],[-81.425,33.7439],[-81.4111,33.733],[-81.3758,33.7245],[-81.367,33.7295],[-81.3388,33.7214],[-81.31,33.7101],[-81.2978,33.7006],[-81.2851,33.6961],[-81.2724,33.6957],[-81.263,33.6889],[-81.2067,33.6617],[-81.1873,33.6526],[-81.373,33.4907],[-81.5165,33.3824],[-81.7575,33.1982],[-81.7577,33.1995],[-81.7588,33.2017],[-81.7605,33.2035],[-81.7621,33.2054],[-81.7628,33.2063],[-81.7644,33.2085],[-81.765,33.2095],[-81.7655,33.2103],[-81.7666,33.2131],[-81.7679,33.2159],[-81.7706,33.2182],[-81.7725,33.2198],[-81.7732,33.2203],[-81.776,33.2216],[-81.7777,33.2219],[-81.7788,33.2219],[-81.7809,33.2201],[-81.781,33.2188],[-81.7802,33.2167],[-81.78,33.216],[-81.7793,33.2146],[-81.7787,33.213],[-81.7792,33.2112],[-81.7814,33.2098],[-81.7858,33.2088],[-81.7939,33.2098],[-81.799,33.2115],[-81.8006,33.212],[-81.8017,33.2124],[-81.8039,33.2128],[-81.8056,33.2137],[-81.8072,33.2151],[-81.8084,33.2186],[-81.8084,33.2209],[-81.8101,33.2237],[-81.8127,33.2255],[-81.816,33.227],[-81.82,33.2282],[-81.8255,33.229],[-81.8263,33.2295],[-81.8286,33.2311],[-81.8321,33.235],[-81.8367,33.238],[-81.8421,33.2403],[-81.846,33.243],[-81.8466,33.2435],[-81.8487,33.2452],[-81.8494,33.2461],[-81.8503,33.2472],[-81.8511,33.2485],[-81.8515,33.2493],[-81.8519,33.2513],[-81.8518,33.2519],[-81.8515,33.2525],[-81.8499,33.2535],[-81.8477,33.2534],[-81.8453,33.2531],[-81.843,33.253],[-81.8416,33.2538],[-81.8414,33.2546],[-81.8414,33.2553],[-81.8419,33.2568],[-81.8435,33.2577],[-81.8458,33.2596],[-81.8473,33.2613],[-81.8481,33.2627],[-81.8483,33.2634],[-81.8477,33.2648],[-81.8467,33.2662],[-81.844,33.2661],[-81.8418,33.2654],[-81.8401,33.2635],[-81.8385,33.2617],[-81.8362,33.2603],[-81.8345,33.2596],[-81.8313,33.2594],[-81.8296,33.2603],[-81.8291,33.2613],[-81.8291,33.2634],[-81.8308,33.2643],[-81.833,33.2653],[-81.8352,33.2663],[-81.8369,33.2676],[-81.8363,33.2695],[-81.8358,33.2713],[-81.836,33.2735],[-81.8367,33.2744],[-81.8385,33.2754],[-81.8405,33.2763],[-81.8426,33.2777],[-81.8443,33.2799],[-81.8454,33.2826],[-81.8481,33.284],[-81.8491,33.2842],[-81.8513,33.2848],[-81.8557,33.2852],[-81.8572,33.2859],[-81.8596,33.2874],[-81.8617,33.2887],[-81.8622,33.2915],[-81.8622,33.2938],[-81.8622,33.296],[-81.8619,33.297],[-81.8613,33.2979],[-81.8608,33.2989],[-81.8597,33.2993],[-81.857,33.2993],[-81.8548,33.2989],[-81.8531,33.2985],[-81.8509,33.298],[-81.8495,33.2981],[-81.849,33.2986],[-81.8484,33.3],[-81.8478,33.3023],[-81.8467,33.3037],[-81.8474,33.3061],[-81.8494,33.3082],[-81.8512,33.3087],[-81.8527,33.3089],[-81.8549,33.3084],[-81.8568,33.3071],[-81.8576,33.3065],[-81.8593,33.3052],[-81.8608,33.3047],[-81.8631,33.3057],[-81.8642,33.3075],[-81.8642,33.3093],[-81.8647,33.3115],[-81.8669,33.3125],[-81.8697,33.312],[-81.8724,33.3107],[-81.8746,33.3083],[-81.8756,33.3073],[-81.8763,33.3066],[-81.8776,33.3062],[-81.879,33.306],[-81.8817,33.3064],[-81.8823,33.3073],[-81.8829,33.3085],[-81.8828,33.3108],[-81.8822,33.3135],[-81.8822,33.3158],[-81.8833,33.3167],[-81.8841,33.3169],[-81.8857,33.3169],[-81.889,33.3159],[-81.891,33.3159],[-81.8921,33.3173],[-81.891,33.3195],[-81.8912,33.3204],[-81.8914,33.321],[-81.894,33.3219],[-81.8946,33.322],[-81.8968,33.3227],[-81.8984,33.3236],[-81.899,33.326],[-81.8985,33.3282],[-81.898,33.331],[-81.8985,33.3331],[-81.8993,33.3339],[-81.9001,33.3346],[-81.9019,33.3346],[-81.9029,33.3345],[-81.9051,33.3313],[-81.9057,33.3279],[-81.9061,33.3253],[-81.9064,33.3239],[-81.9068,33.3233],[-81.9083,33.3213],[-81.9104,33.3208],[-81.9116,33.3218],[-81.9113,33.3229],[-81.9107,33.3243],[-81.9095,33.3261],[-81.9095,33.3281],[-81.9111,33.3294],[-81.9128,33.3312],[-81.9155,33.3321],[-81.9182,33.3339],[-81.9198,33.3357],[-81.9193,33.3375],[-81.9187,33.3383],[-81.9173,33.3398],[-81.9163,33.3406],[-81.9148,33.3416],[-81.9124,33.3431],[-81.9102,33.3445],[-81.9097,33.3456],[-81.9106,33.3463],[-81.9113,33.3467],[-81.9148,33.3467],[-81.9175,33.3453],[-81.9197,33.3444],[-81.9212,33.3439],[-81.923,33.3444],[-81.9245,33.3452],[-81.9294,33.3447],[-81.9324,33.3441],[-81.9338,33.3438],[-81.9366,33.3442],[-81.9384,33.345],[-81.9395,33.3464],[-81.9383,33.3488],[-81.9372,33.351],[-81.9366,33.3545],[-81.9366,33.3567],[-81.9367,33.3574],[-81.94,33.3611],[-81.9431,33.3632],[-81.9458,33.3655],[-81.9466,33.3676],[-81.9467,33.3682],[-81.9457,33.371],[-81.9434,33.3725],[-81.9429,33.3728],[-81.9408,33.3728],[-81.9385,33.3719],[-81.9372,33.3711],[-81.9363,33.3706],[-81.9348,33.3698],[-81.9331,33.3691],[-81.9317,33.3688],[-81.9303,33.3688],[-81.9292,33.369],[-81.9282,33.3695],[-81.9265,33.3713],[-81.926,33.3724],[-81.9254,33.3737],[-81.926,33.3749],[-81.9265,33.3757],[-81.9287,33.3784],[-81.9314,33.3816],[-81.9334,33.3854],[-81.9338,33.3879],[-81.9338,33.3888],[-81.9334,33.3929],[-81.9345,33.3956],[-81.9349,33.3961],[-81.9361,33.3974],[-81.9389,33.3992],[-81.9416,33.4006],[-81.9443,33.4024],[-81.9454,33.4051],[-81.9447,33.4074],[-81.9426,33.4088],[-81.9406,33.4091],[-81.94,33.4092],[-81.9368,33.4088],[-81.9352,33.4088],[-81.934,33.4088],[-81.9331,33.4088],[-81.9315,33.4091],[-81.9293,33.41],[-81.927,33.4118],[-81.9254,33.4144],[-81.9254,33.4171],[-81.9258,33.419],[-81.928,33.4218],[-81.9294,33.4238],[-81.9302,33.425],[-81.9306,33.426],[-81.9309,33.4275],[-81.931,33.4284],[-81.9306,33.4297],[-81.9299,33.4302],[-81.9273,33.4317],[-81.9244,33.4326],[-81.9206,33.4336],[-81.9196,33.4338],[-81.9178,33.4344],[-81.9151,33.4363],[-81.9135,33.4386],[-81.9135,33.4408],[-81.914,33.4436],[-81.9156,33.4462],[-81.9188,33.4499],[-81.9199,33.4517],[-81.9208,33.454],[-81.9236,33.4595],[-81.9259,33.4626],[-81.9285,33.4651],[-81.9292,33.4656],[-81.9314,33.4671],[-81.9331,33.468],[-81.9351,33.4687],[-81.9392,33.4706],[-81.9419,33.4715],[-81.9437,33.4722],[-81.9458,33.4729],[-81.9464,33.4732],[-81.9488,33.4738],[-81.9509,33.4748],[-81.952,33.4752],[-81.9553,33.4771],[-81.9564,33.4776],[-81.9586,33.4785],[-81.9603,33.4793],[-81.9624,33.48],[-81.9668,33.4817],[-81.9709,33.4827],[-81.9757,33.4845],[-81.9801,33.4853],[-81.9834,33.4862],[-81.9862,33.4875],[-81.9889,33.4903],[-81.9912,33.493],[-81.9918,33.4975],[-81.9918,33.5016],[-81.9924,33.5043],[-81.9935,33.5071],[-81.994,33.5077],[-81.9967,33.5116],[-81.9989,33.5148],[-82.001,33.5175],[-82.0037,33.5207],[-82.0065,33.5235],[-82.0086,33.5253],[-82.0096,33.5263],[-82.0108,33.5276],[-82.0119,33.5294],[-82.0119,33.5313],[-82.0125,33.532],[-81.9062,33.6151],[-81.8608,33.6514],[-81.7595,33.7308],[-81.736,33.7505],[-81.652,33.8142],[-81.5751,33.8751]]]},\"properties\":{\"name\":\"Aiken\",\"state\":\"SC\"}}]}","volume":"85","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McKee, R.K.","contributorId":276171,"corporation":false,"usgs":false,"family":"McKee","given":"R.K.","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":834627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhlmann, K.A.","contributorId":276172,"corporation":false,"usgs":false,"family":"Buhlmann","given":"K.A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":834628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hepinstall-Cymerman, J.","contributorId":275628,"corporation":false,"usgs":false,"family":"Hepinstall-Cymerman","given":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":834630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tuberville, T.D.","contributorId":276175,"corporation":false,"usgs":false,"family":"Tuberville","given":"T.D.","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":834631,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218681,"text":"70218681 - 2021 - Seal body condition and atmospheric circulation patterns influence polar bear body condition, recruitment, and feeding ecology in the Chukchi Sea","interactions":[],"lastModifiedDate":"2021-05-18T14:09:54.972537","indexId":"70218681","displayToPublicDate":"2021-02-28T07:14:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Seal body condition and atmospheric circulation patterns influence polar bear body condition, recruitment, and feeding ecology in the Chukchi Sea","docAbstract":"Polar bears (Ursus maritimus) are experiencing loss of sea ice habitats used to access their marine mammal prey. Simultaneously, ocean warming is changing ecosystems that support marine mammal populations. The interactive effects of sea ice and prey are not well understood yet may explain spatial‐temporal variation in the response of polar bears to sea ice loss. Here, we examined the potential combined effects of sea ice, seal body condition and atmospheric circulation patterns on the body condition, recruitment, diet, and feeding probability of 469 polar bears captured in the Chukchi Sea, 2008‐2017. The body condition of ringed seals (Pusa hispida), the primary prey of females and subadults, was related to dietary proportions of ringed seal, feeding probability, and the body condition of females and cubs. In contrast, adult males consumed more bearded seals (Erignathus barbatus) and exhibited better condition when bearded seal body condition was higher. The litter size, number of yearlings per adult female, and the condition of dependent young were higher following winters characterized by low Arctic Oscillation (AO) conditions, consistent with a growing number of studies. Body condition, recruitment, and feeding probability were either not associated or negatively associated with sea ice conditions, suggesting that, unlike some subpopulations, Chukchi Sea bears are not currently limited by sea ice availability. However, spring sea ice cover declined 2% per year during our study reaching levels not previously observed in the satellite record and resulting in the loss of polar bear hunting and seal pupping habitat. Our study suggests that the status of ice seal populations is likely an important factor that can either compound or mitigate the response of polar bears to sea ice loss over the short‐term. In the long‐term, neither polar bears nor their prey are likely robust to limitless loss of their sea ice habitat.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15572","usgsCitation":"Rode, K.D., Regehr, E.V., Bromaghin, J.F., Wilson, R.H., St. Martin, M., Crawford, J.A., and Quakenbush, L.T., 2021, Seal body condition and atmospheric circulation patterns influence polar bear body condition, recruitment, and feeding ecology in the Chukchi Sea: Global Change Biology, v. 27, no. 12, p. 2684-2701, https://doi.org/10.1111/gcb.15572.","productDescription":"18 p.","startPage":"2684","endPage":"2701","ipdsId":"IP-125024","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":436484,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92CRWOP","text":"USGS data release","linkHelpText":"Fatty Acid Composition of Polar Bear Adipose Tissue and Ringed and Bearded Seal Blubber Collected in the Chukchi Sea, 2008-2017"},{"id":384059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chukchi Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -170.0244140625,\n 65.9016533861307\n ],\n [\n -162.00439453125,\n 65.9016533861307\n ],\n [\n -162.00439453125,\n 69.53451763078358\n ],\n [\n -170.0244140625,\n 69.53451763078358\n ],\n [\n -170.0244140625,\n 65.9016533861307\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-03-12","publicationStatus":"PW","contributors":{"authors":[{"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":811339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":811340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","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":811341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":811342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"St. Martin, Michelle","contributorId":189169,"corporation":false,"usgs":false,"family":"St. Martin","given":"Michelle","affiliations":[],"preferred":false,"id":811343,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crawford, Justin A.","contributorId":214225,"corporation":false,"usgs":false,"family":"Crawford","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":811344,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Quakenbush, Lori T.","contributorId":192737,"corporation":false,"usgs":false,"family":"Quakenbush","given":"Lori","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":811345,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70226758,"text":"70226758 - 2021 - 2021 Computational Infrastructure for Geodynamics Developers Workshop","interactions":[],"lastModifiedDate":"2021-12-10T13:01:08.324661","indexId":"70226758","displayToPublicDate":"2021-02-28T07:00:43","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"2021 Computational Infrastructure for Geodynamics Developers Workshop","docAbstract":"The CIG Developers Workshop resulted in a number of recommendations that we think will help expand the CIG developer community, make software more accessible to new users, and increase developer productivity through use of common infrastructure and best practices for software development. This includes building a broad user base with sufficient support through documentation, tutorials, user forums, hackathons, scientific workshops, and mentoring to maintain a healthy suite of software developers and maintainers. Communities also need to offer opportunities, like this workshop, for developer teams to interact with each other to exchange ideas, identify common infrastructure, and interact with users to discuss modeling workflows and development priorities.","language":"English","publisher":"Computational Infrastructure for Geodynamics","usgsCitation":"Aagaard, B.T., Brown, J., Cooper, C., Gassmoeller, R., Hwang, L., and Spiegelman, M., 2021, 2021 Computational Infrastructure for Geodynamics Developers Workshop, 10 p.","productDescription":"10 p.","ipdsId":"IP-127608","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":392722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":392717,"type":{"id":15,"text":"Index Page"},"url":"https://geodynamics.org/cig/events/calendar/2021-cig-developers-workshop/?eID=1901"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":828172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Jed","contributorId":269954,"corporation":false,"usgs":false,"family":"Brown","given":"Jed","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":828173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Catherin","contributorId":269955,"corporation":false,"usgs":false,"family":"Cooper","given":"Catherin","email":"","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":828174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gassmoeller, Rene","contributorId":269956,"corporation":false,"usgs":false,"family":"Gassmoeller","given":"Rene","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":828175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hwang, Lorraine","contributorId":269957,"corporation":false,"usgs":false,"family":"Hwang","given":"Lorraine","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":828176,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spiegelman, Marc","contributorId":269958,"corporation":false,"usgs":false,"family":"Spiegelman","given":"Marc","email":"","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":828177,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70236845,"text":"70236845 - 2021 - Response of an asymmetrical five-story building in Fairbanks, Alaska during the November 30, 2018 M7.1 Anchorage, Alaska earthquake","interactions":[],"lastModifiedDate":"2022-09-20T11:37:04.736904","indexId":"70236845","displayToPublicDate":"2021-02-28T06:34:14","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Response of an asymmetrical five-story building in Fairbanks, Alaska during the November 30, 2018 M7.1 Anchorage, Alaska earthquake","docAbstract":"Eruption of the Old Crow tephra deposited ~200 km3 of volcanic ash throughout Alaska and the northwestern Yukon (eastern Beringia), providing an isochronous marker across the region on a scale unique in the Pleistocene. The Old Crow tephra represents a critical temporal piercing point used extensively to link geographically disparate stratigraphic sections and the paleo-environmental records they contain. Although the canonical age of the Old Crow suggests eruption during the transition between the glacial and interglacial periods of Marine Isotope Stages (MIS) 5 and 6 at ~125 ka, recent U–Th–Pb and (U–Th)/He zircon dating of the tephra suggests eruption at ~200 ka, within MIS 7. If accurate, this revised eruption age begets significant change to existing models describing the geologic and biotic evolution of Beringia in the Pleistocene. Thus, confidently knowing the age of the tephra is critical to its time-stratigraphic utility and for past and future work in the region where the tephra has been found. With this contribution, we review existing Old Crow age constraints and present an eruption age for the tephra determined via high spatial resolution ion microprobe U–Pb surface analysis on zircon crystals isolated from source-proximal (<500 km from plausible source) pumiceous pyroclasts of the tephra. By dating only glass-mantled crystals isolated from discrete pumice clasts, we limit the potential for sample contamination from exotic crystals and resulting age bias. The young population of dates from this dataset corroborate previous radiometric dates and confirm Old Crow eruption within late MIS 7 at 207 ± 13 ka.
Despite abundant research documenting that land use/land cover (LULC) have substantial impacts on the hydrology of humid tropical systems, field-based evidence for the physical mechanisms behind these impacts are still lacking. In particular, our understanding of the hydrologic flowpaths that generate runoff in these systems, and how they vary with respect to LULC is insufficient to inform both physically-based hydrologic modeling and land-use decision-making. In this study, we use end-member mixing analysis (EMMA) of stream chemistry, and hydrometric characterizations of hillslope soil moisture to identify hydrologic flowpaths in humid tropical steep-land catchments of varying LULC: mature tropical forest, young secondary tropical forest, cattle pasture. EMMA was applied to data from 14 storm events (six at the mature forest, five at the young secondary forest, and three at the cattle pasture) that were intensively sampled during the 2017 wet season representing a wide range of rainfall magnitudes and intensities. Additionally, volumetric-soil-moisture responses at multiple depths were characterized during and after 74 storm events occurring from 2015 to 2017. EMMA results indicated that lateral preferential flow within the top 30 cm of the soil profile was a dominant source of runoff generation at the two forested catchments, with the contribution of this flow path increasing with rainfall magnitude and intensity. This was corroborated by volumetric-soil-moisture data, that showed that a perched zone of saturation developed at 30 cm at the time of peak storm runoff during the largest events and lasted for the remaining duration of the event. EMMA indicated that runoff was a combination of infiltration-excess overland flow and lateral subsurface flow in the actively grazed pastoral catchment. There, overland flow contributed 62 % of runoff during the highest runoff rate sampled (35.3 mm/hr) and this contribution increased substantially with storm magnitude. This flowpath identification was also supported by volumetric-soil-moisture data at the pasture, with peak saturation at all depths during the largest storm events occurring up to 30 min after peak runoff. These results provide a mechanistic explanation for previously observed hydrologic differences among tropical LULCs. Additionally, the wide range of hydrologic conditions during these storm events provide a basis for understanding how future changes to this, and similar humid tropical regions will impact hydrological processes and water availability.
No abstract available.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10392","usgsCitation":"Gaikowski, M., and Kocovsky, P., 2021, Introduction to a special section: Integrated pest management—extending a terrestrial paradigm to aquatic environments: North American Journal of Fisheries Management, v. 43, no. 2, p. 261-263, https://doi.org/10.1002/nafm.10392.","productDescription":"3 p.","startPage":"261","endPage":"263","ipdsId":"IP-113689","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":385216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":149357,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":814494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":814495,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70218470,"text":"70218470 - 2021 - Composition and distribution of fish environmental DNA in an Adirondack watershed","interactions":[],"lastModifiedDate":"2021-03-01T16:30:56.694236","indexId":"70218470","displayToPublicDate":"2021-02-26T10:24:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Composition and distribution of fish environmental DNA in an Adirondack watershed","docAbstract":"Environmental DNA (eDNA) surveys are appealing options for monitoring aquatic biodiversity. While factors affecting eDNA persistence, capture and amplification have been heavily studied, watershed-scale surveys of fish communities and our confidence in such need further exploration.
We characterized fish eDNA compositions using rapid, low-volume filtering with replicate and control samples scaled for a single Illumina MiSeq flow cell, using the mitochondrial 12S ribosomal RNA locus for taxonomic profiling. Our goals were to determine: (1) spatiotemporal variation in eDNA abundance, (2) the filtrate needed to achieve strong sequencing libraries, (3) the taxonomic resolution of 12S ribosomal sequences in the study environment, (4) the portion of the expected fish community detectable by 12S sequencing, (5) biases in species recovery, (6) correlations between eDNA compositions and catch per unit effort (CPUE) and (7) the extent that eDNA profiles reflect major watershed features. Our bioinformatic approach included (1) estimation of sequencing error from unambiguous mappings and simulation of taxonomic assignment error under various mapping criteria; (2) binning of species based on inferred assignment error rather than by taxonomic rank; and (3) visualization of mismatch distributions to facilitate discovery of distinct haplotypes attributed to the same reference. Our approach was implemented within the St. Regis River, NY, USA, which supports tribal and recreational fisheries and has been a target of restoration activities. We used a large record of St. Regis-specific observations to validate our assignments.
We found that 300 mL drawn through 25-mm cellulose nitrate filters yielded greater than 5 ng/µL DNA at most sites in summer, which was an approximate threshold for generating strong sequencing libraries in our hands. Using inferred sequence error rates, we binned 12S references for 110 species on a state checklist into 85 single-species bins and seven multispecies bins. Of 48 bins observed by capture survey in the St. Regis, we detected eDNA consistent with 40, with an additional four detections flagged as potential contaminants. Sixteen unobserved species detected by eDNA ranged from plausible to implausible based on distributional data, whereas six observed species had no 12S reference sequence. Summed log-ratio compositions of eDNA-detected taxa correlated with log(CPUE) (Pearson’s R = 0.655, P < 0.001). Shifts in eDNA composition of several taxa and a genotypic shift in channel catfish (Ictalurus punctatus) coincided with the Hogansburg Dam, NY, USA. In summary, a simple filtering apparatus operated by field crews without prior expertise gave useful summaries of eDNA composition with minimal evidence of field contamination. 12S sequencing achieved useful taxonomic resolution despite the short marker length, and data exploration with standard bioinformatic tools clarified taxonomic uncertainty and sources of error.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.10539","usgsCitation":"Cornman, R.S., McKenna, J.E., and Fike, J., 2021, Composition and distribution of fish environmental DNA in an Adirondack watershed: PeerJ, v. 9, e10539, 34 p., https://doi.org/10.7717/peerj.10539.","productDescription":"e10539, 34 p.","ipdsId":"IP-121794","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":453296,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.10539","text":"Publisher Index Page"},{"id":436485,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EEOAZK","text":"USGS data release","linkHelpText":"Taxonomic composition of environmental DNA acquired by filtration from the St. Regis River, New York"},{"id":383691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"St. Regis River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.135498046875,\n 44.23732831822538\n ],\n [\n -74.4873046875,\n 44.23732831822538\n ],\n [\n -74.4873046875,\n 44.98034238084973\n ],\n [\n -75.135498046875,\n 44.98034238084973\n ],\n [\n -75.135498046875,\n 44.23732831822538\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":811096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":811097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":811098,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228938,"text":"70228938 - 2021 - Feral horse space use and genetic characteristics from fecal DNA","interactions":[],"lastModifiedDate":"2022-02-24T16:18:13.590708","indexId":"70228938","displayToPublicDate":"2021-02-26T10:13:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Feral horse space use and genetic characteristics from fecal DNA","docAbstract":"Feral horses (Equus ferus caballus) in the western United States are managed by the Bureau of Land Management (BLM) and United States Forest Service in designated areas on public lands with a goal of maintaining populations in balance with multiple uses of the landscape. Small, isolated populations can be at risk of extirpation from stochastic events and deleterious genetic effects resulting from inbreeding and reduced heterozygosity. The genetic diversity of feral horse herds is periodically monitored using blood or hair samples collected during management gathers (i.e., occasions when the herd is rounded up). We conducted a study to examine genetic characteristics of the feral horse population at the BLM Little Book Cliffs Herd Management Area (HMA) in Colorado, USA, using non-invasively collected fecal samples. Additionally, we explored whether genotypes could be used to document space use and potential sub-population development. We used a random sampling scheme, walking transects in sampling areas covering most of the HMA to find and collect fecal samples of all ages, except those that were deteriorating. We collected >1,800 fecal samples from across the study area in May, August, and October 2014. We then identified unique individuals using a suite of microsatellite loci. Our estimates of genetic diversity from fecal samples were higher than those reported from blood and hair samples taken during recent horse gathers, likely because our sample size and spatial distribution was larger. Genotypes revealed that some individuals were found only in certain parts of the study area and at a higher proportion than random; thus, they could be considered residents in those sampling areas. Using discriminant function analyses, we detected 5 genetic groups in the sample population, but these did not correspond to individuals in specific parts of the study area. Our results support the use of fecal DNA to augment direct observations of horse presence and could be used to detect habitat use and areas of high density. Non-invasive techniques such as fecal DNA sampling can help managers decide whether new individuals need to be translocated to a closed population to maintain genetic diversity without the human safety and animal welfare concerns associated with gathers and invasive techniques.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21974","usgsCitation":"King, S.R., Schoenecker, K., Fike, J., and Oyler-McCance, S.J., 2021, Feral horse space use and genetic characteristics from fecal DNA: Journal of Wildlife Management, v. 85, no. 6, p. 1074-1083, https://doi.org/10.1002/jwmg.21974.","productDescription":"10 p.","startPage":"1074","endPage":"1083","ipdsId":"IP-117792","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":396428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Little Book Cliffs Horse Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.51608276367188,\n 39.112480879079556\n ],\n [\n -108.33274841308594,\n 39.112480879079556\n ],\n [\n -108.33274841308594,\n 39.29498546816049\n ],\n [\n -108.51608276367188,\n 39.29498546816049\n ],\n [\n -108.51608276367188,\n 39.112480879079556\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Sarah R. B. 0000-0002-9316-7488","orcid":"https://orcid.org/0000-0002-9316-7488","contributorId":280063,"corporation":false,"usgs":false,"family":"King","given":"Sarah","email":"","middleInitial":"R. B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":835970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835973,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70220257,"text":"70220257 - 2021 - Status of Cisco in Lake Superior in 2017","interactions":[],"lastModifiedDate":"2021-04-29T13:25:58.497396","indexId":"70220257","displayToPublicDate":"2021-02-26T08:22:45","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Status of Cisco in Lake Superior in 2017","docAbstract":"This report describes the status of fish species and their habitat in Lake Superior during the reporting period of 2012-2016 in response to achievement of fish community objectives (FCOs) established by fishery managers for the lake. The overarching goal for the FCOs continued to be met as the fish community remained diverse, self-regulating, dominated by indigenous species, and able to support sustainable fisheries, although further rehabilitation of certain fish is required. The Lake Superior Lakewide Action and Management Plan classified all habitat indicators for Lake Superior as good. Primary production and zooplankton abundance were stable during the reporting period and unchanged from the two previous reporting periods, indicating the lower food web is healthy. Abundance of the invertebrates Mysis diluviana and Diporeia spp. were stable during the reporting period, and Diporeia spp. density exceeded target levels defined in the Great Lakes Water Quality Agreement. Lake Whitefish (Coregonus clupeaformis) abundance was lower than during the previous reporting period but was within the FCO target. Abundance of lean, siscowet, and humper forms of Lake Trout (Salvelinus namaycush) remained stable at levels seen in previous reporting periods. The FCO for non-indigenous salmonids was met as Chinook Salmon (Oncorhynchus tshawytscha), Coho Salmon (O. kisutch), and steelhead/Rainbow Trout (O. mykiss) were being sustained by natural reproduction, and their abundance remained stable or increased from previous reporting periods. The FCO for Walleye (Sander vitreus) was not met, although populations showed signs of improvement since the previous reporting period. The fish community in littoral areas and embayments continued to be diverse and composed mostly of indigenous species. No new invasive species were found in Lake Superior during the reporting period. Degraded embayment and tributary habitats continued to prevent achievement of the FCOs for Brook Trout (S. fontinalis) and Lake Sturgeon (Acipenser fulvescens). Barriers created for hydroelectric generation either blocked Lake Sturgeon from historically important spawning grounds or reduced stream flows necessary for its reproduction. In tributaries without man-made barriers, Lake Sturgeon was relatively abundant and appeared healthy. Attainment of the FCOs for Brook Trout and Lake Sturgeon will be challenging and can only be attained through development of large-scale management actions like those implemented for Lake Trout rehabilitation and Sea Lamprey (Petromyzon marinus) control. Sea Lamprey-control expenditures doubled in 2016 from past levels and should result in suppression of the population closer to its FCO after 2016. The prey-fish FCO appears to have been met, but biomass of nearly all prey-fish species declined from that reported for the previous reporting period and has been on a downward trajectory since 2000. Predation by Lake Trout is probably to blame for the declining biomass of prey fish. Poor recruitment by Cisco (C. artedi) over the last 15 years is exacerbating the declines in prey-fish biomass because Lake Trout must compensate for the loss of Cisco by consuming other, less-abundant prey fish.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The state of Lake Superior ecosystem in 2017","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Goldsworthy, C., and Yule, D.L., 2021, Status of Cisco in Lake Superior in 2017, 4 p.","productDescription":"4 p.","startPage":"29","endPage":"32","ipdsId":"IP-122168","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":385390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385372,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/pubs/SpecialPubs/Sp21_02.pdf"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.320068359375,\n 46.50973514453876\n ],\n [\n -84.35028076171875,\n 46.534303278597505\n ],\n [\n -84.4189453125,\n 46.53052428878426\n ],\n [\n -84.4793701171875,\n 46.49650154751426\n ],\n [\n -84.52606201171875,\n 46.51918574163987\n ],\n [\n -84.5562744140625,\n 46.549416608392264\n ],\n [\n -84.5452880859375,\n 46.581518465658014\n ],\n [\n -84.4793701171875,\n 46.63623661551964\n ],\n [\n -84.37225341796875,\n 46.68901548485151\n ],\n [\n -84.4354248046875,\n 46.77749276376827\n ],\n [\n -84.50408935546875,\n 46.794418663019734\n ],\n [\n -84.46563720703125,\n 46.81133924039194\n ],\n [\n -84.40521240234375,\n 46.80193957664001\n ],\n [\n -84.364013671875,\n 46.822616668804926\n ],\n [\n -84.31732177734375,\n 46.86394700508323\n ],\n [\n -84.37774658203125,\n 46.93526088057719\n ],\n [\n -84.4354248046875,\n 46.95588666908011\n ],\n [\n -84.50958251953125,\n 46.96900803311957\n ],\n [\n -84.63043212890625,\n 46.976504510552\n ],\n [\n -84.7540283203125,\n 46.9989876381546\n ],\n [\n -84.74029541015625,\n 47.040182144806664\n ],\n [\n -84.68536376953125,\n 47.09630525444073\n ],\n [\n -84.66339111328125,\n 47.16730970131578\n ],\n [\n -84.61395263671875,\n 47.2270293988673\n ],\n [\n -84.55352783203125,\n 47.26991141830741\n ],\n [\n -84.54254150390625,\n 47.32951560950956\n ],\n [\n -84.59197998046875,\n 47.39463076190644\n ],\n [\n -84.715576171875,\n 47.470806305936264\n ],\n [\n -84.84466552734375,\n 47.53203824675999\n ],\n [\n -84.91333007812499,\n 47.56355410390806\n ],\n [\n -84.97650146484375,\n 47.63023101663225\n ],\n [\n -84.957275390625,\n 47.69497434186282\n ],\n [\n -84.90234375,\n 47.755944512091666\n ],\n [\n -84.85015869140625,\n 47.80024163283363\n ],\n [\n -84.87213134765625,\n 47.838970656475674\n ],\n [\n -84.81719970703125,\n 47.879512933970496\n ],\n [\n -84.7869873046875,\n 47.942106827553026\n ],\n [\n -84.8089599609375,\n 47.98256841921405\n ],\n [\n -85.0067138671875,\n 47.99727386804474\n ],\n [\n -85.11383056640625,\n 47.99727386804474\n ],\n [\n -85.242919921875,\n 47.989921667414194\n ],\n [\n -85.33905029296875,\n 47.98440682947526\n ],\n [\n -85.4241943359375,\n 47.951305426762616\n ],\n [\n -85.58349609375,\n 47.951305426762616\n ],\n [\n -85.6988525390625,\n 47.956823800497475\n ],\n [\n -85.91033935546875,\n 48.026672195436014\n ],\n [\n -85.97351074218749,\n 48.10926514749487\n ],\n [\n -86.02294921875,\n 48.16974908365419\n ],\n [\n -86.08612060546875,\n 48.2155228106753\n ],\n [\n -86.1492919921875,\n 48.328865239704655\n ],\n [\n -86.16851806640624,\n 48.39456162202509\n ],\n [\n -86.1822509765625,\n 48.45653041501911\n ],\n [\n -86.20697021484375,\n 48.50932644976633\n ],\n [\n -86.21246337890625,\n 48.574789910928864\n ],\n [\n -86.23992919921875,\n 48.63290858589535\n ],\n [\n -86.32507324218749,\n 48.739889600673365\n ],\n [\n -86.41021728515624,\n 48.79058074474321\n ],\n [\n -86.54205322265625,\n 48.81590713080018\n ],\n [\n -86.73431396484375,\n 48.83941303819501\n ],\n [\n -86.89361572265624,\n 48.83760528293373\n ],\n [\n -86.99523925781249,\n 48.86471476180277\n ],\n [\n -87.08587646484375,\n 48.85206549830757\n ],\n [\n -87.18475341796875,\n 48.850258199721495\n ],\n [\n -87.29736328125,\n 48.850258199721495\n ],\n [\n -87.4127197265625,\n 48.850258199721495\n ],\n [\n -87.54730224609375,\n 48.90805939965008\n ],\n [\n -87.64068603515625,\n 48.91888968903368\n ],\n [\n -87.7313232421875,\n 48.935130721045326\n ],\n [\n -87.82196044921874,\n 48.95497369808868\n ],\n [\n -87.89886474609375,\n 48.97300592158682\n ],\n [\n -87.96203613281249,\n 49.00364573861305\n ],\n [\n -87.9949951171875,\n 49.03786794532644\n ],\n [\n -88.10211181640624,\n 49.03966846228119\n ],\n [\n -88.20373535156249,\n 49.023461463214126\n ],\n [\n -88.2696533203125,\n 49.01085236926211\n ],\n [\n -88.32733154296875,\n 48.96939999849952\n ],\n [\n -88.31085205078125,\n 48.91166975698412\n ],\n [\n -88.25042724609374,\n 48.8032455364465\n ],\n [\n -88.2861328125,\n 48.80686346108517\n ],\n [\n -88.34381103515624,\n 48.857487002645485\n ],\n [\n -88.42071533203125,\n 48.87555444355432\n ],\n [\n -88.48114013671875,\n 48.855679899769\n ],\n [\n -88.52508544921875,\n 48.832181625698475\n ],\n [\n -88.57452392578125,\n 48.76705193388751\n ],\n [\n -88.58551025390624,\n 48.70727541512677\n ],\n [\n -88.60198974609375,\n 48.669198799260045\n ],\n [\n -88.6376953125,\n 48.62020084032983\n ],\n [\n -88.670654296875,\n 48.60204136700653\n ],\n [\n -88.75030517578125,\n 48.59477574898104\n ],\n [\n -88.87115478515625,\n 48.57842428752037\n ],\n [\n -89.16778564453125,\n 48.50386733939323\n ],\n [\n -89.23919677734375,\n 48.454708881876854\n ],\n [\n -89.33807373046875,\n 48.32703913063476\n ],\n [\n -89.38201904296875,\n 48.22284281261854\n ],\n [\n -89.40673828125,\n 48.13126755117026\n ],\n [\n -89.5440673828125,\n 48.065232067568\n ],\n [\n -89.64019775390625,\n 48.01013769851873\n ],\n [\n -89.74731445312499,\n 47.96785877999251\n ],\n [\n -89.83245849609375,\n 47.90161354142077\n ],\n [\n -89.98626708984375,\n 47.86293128876346\n ],\n [\n -90.274658203125,\n 47.79839667295524\n ],\n [\n -90.4119873046875,\n 47.76517619125415\n ],\n [\n -90.50537109375,\n 47.73562905149295\n ],\n [\n -90.60699462890625,\n 47.69867153529717\n ],\n [\n -90.72509765625,\n 47.6524377737497\n ],\n [\n -90.86517333984375,\n 47.59505101193038\n ],\n [\n -90.97503662109375,\n 47.537601245618134\n ],\n [\n -91.12884521484375,\n 47.44666502261753\n ],\n [\n -91.30462646484375,\n 47.299721913179944\n ],\n [\n -91.41998291015625,\n 47.23262467463881\n ],\n [\n -91.59576416015625,\n 47.10378387099161\n ],\n [\n -91.73309326171875,\n 47.00835281693705\n ],\n [\n -91.91436767578124,\n 46.93901161506044\n ],\n [\n -92.16156005859375,\n 46.79253827035982\n ],\n [\n -92.1148681640625,\n 46.70973594407157\n ],\n [\n -92.032470703125,\n 46.65132155014943\n ],\n [\n -91.90887451171875,\n 46.62869257083747\n ],\n [\n -91.73858642578125,\n 46.6701718034738\n ],\n [\n -91.61773681640625,\n 46.70031853924921\n ],\n [\n -91.47491455078125,\n 46.73421350813988\n ],\n [\n -91.31011962890625,\n 46.76996843356982\n ],\n [\n -91.20025634765625,\n 46.80945943904218\n ],\n [\n -91.1151123046875,\n 46.837649560937464\n ],\n [\n -90.99700927734375,\n 46.87709089874478\n ],\n [\n -90.90911865234374,\n 46.90712199744459\n ],\n [\n -90.86242675781249,\n 46.91837932415156\n ],\n [\n -90.823974609375,\n 46.899615799267245\n ],\n [\n -90.84320068359375,\n 46.862069043222895\n ],\n [\n -90.88714599609375,\n 46.803819640791566\n ],\n [\n -90.911865234375,\n 46.76996843356982\n ],\n [\n -90.94207763671875,\n 46.71915170604123\n ],\n [\n -91.01074218749999,\n 46.5720787149159\n ],\n [\n -90.966796875,\n 46.538082005463075\n ],\n [\n -90.86517333984375,\n 46.56641407568593\n ],\n [\n -90.73333740234375,\n 46.60982785835103\n ],\n [\n -90.71685791015625,\n 46.63435070293566\n ],\n [\n -90.56304931640625,\n 46.581518465658014\n ],\n [\n -90.49713134765625,\n 46.534303278597505\n ],\n [\n -90.42572021484374,\n 46.534303278597505\n ],\n [\n -90.3515625,\n 46.56263732086835\n ],\n [\n -90.120849609375,\n 46.613601326659726\n ],\n [\n -89.98077392578124,\n 46.65132155014943\n ],\n [\n -89.89013671875,\n 46.69278343251575\n ],\n [\n -89.84344482421875,\n 46.74927110475196\n ],\n [\n -89.769287109375,\n 46.78689669816405\n ],\n [\n -89.659423828125,\n 46.79629898997745\n ],\n [\n -89.549560546875,\n 46.794418663019734\n ],\n [\n -89.4342041015625,\n 46.822616668804926\n ],\n [\n -89.307861328125,\n 46.85831292242506\n ],\n [\n -89.21173095703125,\n 46.90899838277448\n ],\n [\n -89.14306640625,\n 46.9446372241817\n ],\n [\n -89.00848388671875,\n 46.95588666908011\n ],\n [\n -88.912353515625,\n 47.01209842876063\n ],\n [\n -88.85467529296875,\n 47.08321514774161\n ],\n [\n -88.70086669921875,\n 47.16170753357782\n ],\n [\n -88.52783203125,\n 47.22329888685773\n ],\n [\n -88.450927734375,\n 47.3183449418758\n ],\n [\n -88.3465576171875,\n 47.35184985856322\n ],\n [\n -88.1817626953125,\n 47.4355191531953\n ],\n [\n -88.13232421875,\n 47.43737696208075\n ],\n [\n -87.95928955078125,\n 47.44480754169437\n ],\n [\n -87.81097412109375,\n 47.4355191531953\n ],\n [\n -87.83294677734375,\n 47.41136166853917\n ],\n [\n -87.89886474609375,\n 47.41136166853917\n ],\n [\n -87.98675537109375,\n 47.39463076190644\n ],\n [\n -87.9949951171875,\n 47.349989032003215\n ],\n [\n -88.0279541015625,\n 47.32393057095941\n ],\n [\n -88.10211181640624,\n 47.286681888764214\n ],\n [\n -88.14056396484375,\n 47.25686404408872\n ],\n [\n -88.22296142578125,\n 47.217702626593784\n ],\n [\n -88.2806396484375,\n 47.191578934752954\n ],\n [\n -88.330078125,\n 47.12995075666307\n ],\n [\n -88.363037109375,\n 47.09069560264967\n ],\n [\n -88.4124755859375,\n 47.02895043138593\n ],\n [\n -88.4674072265625,\n 46.976504510552\n ],\n [\n -88.52783203125,\n 46.86019101567027\n ],\n [\n -88.51409912109375,\n 46.79253827035982\n ],\n [\n -88.516845703125,\n 46.74738913515841\n ],\n [\n -88.50036621093749,\n 46.73044845188485\n ],\n [\n -88.39324951171875,\n 46.781254534638606\n ],\n [\n -88.330078125,\n 46.85079989251277\n ],\n [\n -88.28338623046875,\n 46.882723010671945\n ],\n [\n -88.28338623046875,\n 46.86394700508323\n ],\n [\n -88.30810546875,\n 46.82637528602131\n ],\n [\n -88.28887939453125,\n 46.80569963924226\n ],\n [\n -88.21197509765624,\n 46.837649560937464\n ],\n [\n -88.17901611328125,\n 46.878968335076856\n ],\n [\n -88.12957763671875,\n 46.89210855010362\n ],\n [\n -88.05816650390625,\n 46.89210855010362\n ],\n [\n -87.95379638671874,\n 46.88647742351024\n ],\n [\n -87.7972412109375,\n 46.85079989251277\n ],\n [\n -87.71209716796874,\n 46.78313532151751\n ],\n [\n -87.55279541015625,\n 46.67582559793001\n ],\n [\n -87.42370605468749,\n 46.524855311033406\n ],\n [\n -87.374267578125,\n 46.479482189368646\n ],\n [\n -87.2259521484375,\n 46.464349400461124\n ],\n [\n -87.09686279296874,\n 46.479482189368646\n ],\n [\n -87.01995849609375,\n 46.5002829039397\n ],\n [\n -86.95404052734375,\n 46.48893804576338\n ],\n [\n -86.91009521484375,\n 46.41892578708076\n ],\n [\n -86.81121826171875,\n 46.403776166694634\n ],\n [\n -86.7645263671875,\n 46.44164232762498\n ],\n [\n -86.71508789062499,\n 46.41513877649199\n ],\n [\n -86.64642333984375,\n 46.40188216826328\n ],\n [\n -86.58599853515625,\n 46.43217825300941\n ],\n [\n -86.47613525390625,\n 46.5116253954379\n ],\n [\n -86.32232666015625,\n 46.55697169564088\n ],\n [\n -86.24267578125,\n 46.58906908309182\n ],\n [\n -86.13006591796874,\n 46.60228013300284\n ],\n [\n -85.7977294921875,\n 46.64377960861833\n ],\n [\n -85.572509765625,\n 46.65320687122665\n ],\n [\n -85.42694091796875,\n 46.649436163350245\n ],\n [\n -85.3472900390625,\n 46.694667307773116\n ],\n [\n -85.1275634765625,\n 46.73044845188485\n ],\n [\n -85.05889892578125,\n 46.72291755083757\n ],\n [\n -85.05615234375,\n 46.640008243515915\n ],\n [\n -85.089111328125,\n 46.51540570001737\n ],\n [\n -85.067138671875,\n 46.475699386607516\n ],\n [\n -84.9957275390625,\n 46.45299704748289\n ],\n [\n -84.9188232421875,\n 46.45299704748289\n ],\n [\n -84.8309326171875,\n 46.43596408010131\n ],\n [\n -84.75128173828125,\n 46.42460580983505\n ],\n [\n -84.6990966796875,\n 46.45299704748289\n ],\n [\n -84.649658203125,\n 46.437856895024204\n ],\n [\n -84.638671875,\n 46.39998810407942\n ],\n [\n -84.54254150390625,\n 46.411351502899215\n ],\n [\n -84.45465087890625,\n 46.41513877649199\n ],\n [\n -84.3695068359375,\n 46.45678142812658\n ],\n [\n -84.320068359375,\n 46.50973514453876\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Goldsworthy, Cory","contributorId":257723,"corporation":false,"usgs":false,"family":"Goldsworthy","given":"Cory","email":"","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":814914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yule, Daniel L. 0000-0002-0117-5115","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":248693,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":814915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70218480,"text":"70218480 - 2021 - The contribution of water radiolysis to marine sedimentary life","interactions":[],"lastModifiedDate":"2021-03-01T14:24:40.886787","indexId":"70218480","displayToPublicDate":"2021-02-26T08:22:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"The contribution of water radiolysis to marine sedimentary life","docAbstract":"Water radiolysis continuously produces H2 and oxidized chemicals in wet sediment and rock. Radiolytic H2 has been identified as the primary electron donor (food) for microorganisms in continental aquifers kilometers below Earth’s surface. Radiolytic products may also be significant for sustaining life in subseafloor sediment and subsurface environments of other planets. However, the extent to which most subsurface ecosystems rely on radiolytic products has been poorly constrained, due to incomplete understanding of radiolytic chemical yields in natural environments. Here we show that all common marine sediment types catalyse radiolytic H2 production, amplifying yields by up to 27X relative to pure water. In electron equivalents, the global rate of radiolytic H2 production in marine sediment appears to be 1-2% of the global organic flux to the seafloor. However, most organic matter is consumed at or near the seafloor, whereas radiolytic H2 is produced at all sediment depths. Comparison of radiolytic H2 consumption rates to organic oxidation rates suggests that water radiolysis is the principal source of biologically accessible energy for microbial communities in marine sediment older than a few million years. Where water permeates similarly catalytic material on other worlds, life may also be sustained by water radiolysis.
Nitrogen (N) and phosphorus (P) inputs throughout the Mississippi/Atchafalaya River Basin (MARB) have been linked to the Gulf of Mexico hypoxia and water‐quality problems throughout the MARB. To describe N and P loading throughout the MARB, SPAtially Referenced Regression On Watershed attributes (SPARROW) models were previously developed based on nutrient inputs and management similar to 1992 and 2002. In this study, refined SPARROW models were developed with higher resolution basin delineation, updated (2012) source inputs, improved calibration (load) targets, and additional statistical techniques than used in the previous SPARROW models. Based on the refined models, consistent with past models, N and P loads/yields were the highest from the central part of the MARB (Corn Belt) and along the Mississippi River. Agricultural activities remained the most important N and P source, but more so for N because its input, which could now be distinguished from atmospheric deposition, could be estimated. Natural loss of P from geologic material throughout the MARB was an important source, contributing about 23% of the total P from the MARB, and resulted in specific areas, such as Kentucky and Tennessee, being larger sources of P than previously estimated. This information can help managers decide where efforts will have the largest effects (highest ranked areas) on reducing nutrient loading to the Gulf hypoxia and what are the most important sources of N and P in these areas.
Invasive species require management to mitigate their harmful effects on native biodiversity and ecosystem processes. However, such management can also have negative, unintended consequences on non-target taxa, ecosystem processes, and food web dynamics. In Yellowstone Lake, invasive lake trout (Salvelinus namaycush) have caused a decline in the native Yellowstone cutthroat trout (Oncorhynchus clarkii bouvieri) population. To suppress the invader, lake trout carcasses are deposited on the species’ spawning sites, causing embryo mortality by reducing dissolved oxygen as they decay. The non-target effects of carcass treatment are unknown, but benthic invertebrates may be sensitive to reductions in dissolved oxygen. Benthic invertebrate taxa have varying hypoxia tolerances; caddisflies (Trichoptera, family Limnephilidae) are hypoxia sensitive while amphipods Gammarus lacustris and Hyallela azteca are hypoxia tolerant. Both are widespread and abundant in Yellowstone Lake and comprise a large proportion of fish diets, so changes in their abundances could alter food web dynamics. We conducted an in situ experiment to determine if carcass deposition causes mortality in these two taxa of benthic invertebrates. The probability of mortality for caddisflies was 3.15 times higher in carcass treatments as compared to controls, while amphipod mortality did not change in response to carcass treatment. Amphipods, which contribute most significantly to fish diets, are unlikely to be reduced in response to carcass deposition, which is confined to a small fraction of the lake where lake trout spawn, limiting the possibility for lake-wide effects. We conclude that carcass deposition is unlikely to alter the availability of invertebrates as a food source for fish in Yellowstone Lake.
","language":"English","publisher":"Schweizerbart Science Publishers","doi":"10.1127/fal/2020/1352","usgsCitation":"Briggs, M., Albertson, L.K., Lujan, D., Tronstad, L., Glassic, H., Guy, C.S., and Koel, T., 2021, Carcass deposition to suppress invasive lake trout causes differential mortality of two common benthic invertebrates in Yellowstone Lake: Fundamental and Applied Limnology, v. 194, no. 4, p. 285-295, https://doi.org/10.1127/fal/2020/1352.","productDescription":"11 p.","startPage":"285","endPage":"295","ipdsId":"IP-120668","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":396560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake, 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 -110.56571960449219,\n 44.39356091349481\n ],\n [\n -110.54443359375,\n 44.38816358674148\n ],\n [\n -110.52726745605469,\n 44.38865427337759\n ],\n [\n -110.50529479980469,\n 44.397485929414124\n ],\n [\n -110.49774169921875,\n 44.403863518783446\n ],\n [\n -110.49911499023438,\n 44.42495366933076\n ],\n [\n -110.48881530761719,\n 44.43525074594461\n ],\n [\n -110.47027587890624,\n 44.43525074594461\n ],\n [\n -110.46615600585938,\n 44.42397290075389\n ],\n [\n -110.44212341308594,\n 44.42250171703636\n ],\n [\n -110.42701721191406,\n 44.42691515712095\n ],\n [\n -110.42358398437499,\n 44.42103049629628\n ],\n [\n -110.42564392089844,\n 44.41220239438348\n ],\n [\n -110.40504455566406,\n 44.397976537893065\n ],\n [\n -110.39886474609375,\n 44.3891449559002\n ],\n [\n -110.39886474609375,\n 44.382765762252404\n ],\n [\n -110.40641784667969,\n 44.37982128456053\n ],\n [\n -110.41740417480469,\n 44.38031204112625\n ],\n [\n -110.45036315917969,\n 44.37000528941461\n ],\n [\n -110.45654296875,\n 44.362151308620156\n ],\n [\n -110.45036315917969,\n 44.3587148608905\n ],\n [\n -110.44349670410156,\n 44.36264221327065\n ],\n [\n -110.42015075683594,\n 44.36656930239071\n ],\n [\n -110.40229797363281,\n 44.36607843064777\n ],\n [\n -110.39749145507812,\n 44.37098696297173\n ],\n [\n -110.37345886230469,\n 44.372459442456396\n ],\n [\n -110.36727905273438,\n 44.374913492661456\n ],\n [\n -110.37139892578125,\n 44.383747221908365\n ],\n [\n -110.35491943359375,\n 44.38423794556608\n ],\n [\n -110.36109924316405,\n 44.37098696297173\n ],\n [\n -110.357666015625,\n 44.36509667482153\n ],\n [\n -110.3631591796875,\n 44.35085936635316\n ],\n [\n -110.36109924316405,\n 44.33956524809713\n ],\n [\n -110.35903930664062,\n 44.32876014234562\n ],\n [\n -110.34530639648436,\n 44.3184443205969\n ],\n [\n -110.33912658691406,\n 44.30714395830852\n ],\n [\n -110.3466796875,\n 44.298790118109636\n ],\n [\n -110.35079956054688,\n 44.289943579880536\n ],\n [\n -110.33912658691406,\n 44.28207887155467\n ],\n [\n -110.31028747558594,\n 44.2791293344632\n ],\n [\n -110.30479431152344,\n 44.27273816279087\n ],\n [\n -110.29037475585936,\n 44.289943579880536\n ],\n [\n -110.30136108398438,\n 44.295841420108864\n ],\n [\n -110.30548095703125,\n 44.305178455794234\n ],\n [\n -110.3144073486328,\n 44.30714395830852\n ],\n [\n -110.31234741210938,\n 44.31746176677677\n ],\n [\n -110.31372070312499,\n 44.32925132670623\n ],\n [\n -110.32470703125,\n 44.34938634389529\n ],\n [\n -110.31646728515625,\n 44.35380530020703\n ],\n [\n -110.31646728515625,\n 44.36264221327065\n ],\n [\n -110.30204772949219,\n 44.370496128249876\n ],\n [\n -110.29586791992188,\n 44.3768766587829\n ],\n [\n -110.29518127441406,\n 44.3891449559002\n ],\n [\n -110.2862548828125,\n 44.39012630860479\n ],\n [\n -110.27595520019531,\n 44.36951444646586\n ],\n [\n -110.27732849121094,\n 44.357242035876375\n ],\n [\n -110.28213500976561,\n 44.343984944818594\n ],\n [\n -110.27870178222656,\n 44.33661859851472\n ],\n [\n -110.28350830078125,\n 44.322374371345624\n ],\n [\n -110.2862548828125,\n 44.31205742666618\n ],\n [\n -110.27938842773438,\n 44.30124725332995\n ],\n [\n -110.26771545410155,\n 44.30468706988256\n ],\n [\n -110.25535583496094,\n 44.299772984537455\n ],\n [\n -110.24368286132811,\n 44.29780723522891\n ],\n [\n -110.23887634277344,\n 44.30173866803434\n ],\n [\n -110.23338317871094,\n 44.29240108529005\n ],\n [\n -110.20729064941406,\n 44.289943579880536\n ],\n [\n -110.20866394042969,\n 44.308126684886126\n ],\n [\n -110.20248413085938,\n 44.31304007097853\n ],\n [\n -110.1983642578125,\n 44.32925132670623\n ],\n [\n -110.22033691406249,\n 44.33514521819323\n ],\n [\n -110.22377014160156,\n 44.34152959888481\n ],\n [\n -110.2210235595703,\n 44.345458103018316\n ],\n [\n -110.22308349609375,\n 44.35184136075807\n ],\n [\n -110.22514343261719,\n 44.36067856998804\n ],\n [\n -110.22720336914062,\n 44.37638587342275\n ],\n [\n -110.23887634277344,\n 44.3891449559002\n ],\n [\n -110.25054931640625,\n 44.3920889646517\n ],\n [\n -110.25672912597656,\n 44.41073091448634\n ],\n [\n -110.27458190917967,\n 44.41563570350107\n ],\n [\n -110.28488159179688,\n 44.41955923853364\n ],\n [\n -110.28556823730469,\n 44.42495366933076\n ],\n [\n -110.29518127441406,\n 44.43181858864192\n ],\n [\n -110.29037475585936,\n 44.43476045009948\n ],\n [\n -110.28900146484375,\n 44.442604689982\n ],\n [\n -110.28762817382812,\n 44.451918357043986\n ],\n [\n -110.28831481933594,\n 44.470051236358984\n ],\n [\n -110.28282165527342,\n 44.471031231561845\n ],\n [\n -110.28144836425781,\n 44.47789073724073\n ],\n [\n -110.28007507324219,\n 44.490137849057454\n ],\n [\n -110.27389526367188,\n 44.49846441646551\n ],\n [\n -110.27732849121094,\n 44.50923820945519\n ],\n [\n -110.27458190917967,\n 44.5131554586988\n ],\n [\n -110.27526855468749,\n 44.52392653654213\n ],\n [\n -110.28831481933594,\n 44.5302903284497\n ],\n [\n -110.29586791992188,\n 44.5302903284497\n ],\n [\n -110.29312133789062,\n 44.53469562326322\n ],\n [\n -110.28762817382812,\n 44.53763230134611\n ],\n [\n -110.28968811035156,\n 44.54693080488455\n ],\n [\n -110.29655456542969,\n 44.55524925971063\n ],\n [\n -110.31784057617188,\n 44.557695637803626\n ],\n [\n -110.33157348632812,\n 44.55475997175016\n ],\n [\n -110.33638000488281,\n 44.55084551996378\n ],\n [\n -110.35697937011719,\n 44.55524925971063\n ],\n [\n -110.35423278808594,\n 44.55965266622662\n ],\n [\n -110.38925170898438,\n 44.567480121682536\n ],\n [\n -110.39749145507812,\n 44.55231347023833\n ],\n [\n -110.41671752929688,\n 44.55133484083592\n ],\n [\n -110.42564392089844,\n 44.54252643570382\n ],\n [\n -110.43319702148438,\n 44.536163980817285\n ],\n [\n -110.44418334960938,\n 44.536163980817285\n ],\n [\n -110.44418334960938,\n 44.5322482783948\n ],\n [\n -110.43869018554686,\n 44.52196830685208\n ],\n [\n -110.41946411132812,\n 44.52539516561384\n ],\n [\n -110.42495727539062,\n 44.503851561847675\n ],\n [\n -110.42358398437499,\n 44.49748488200713\n ],\n [\n -110.41465759277344,\n 44.492097148347945\n ],\n [\n -110.41534423828124,\n 44.48719877670763\n ],\n [\n -110.43045043945311,\n 44.4803403652934\n ],\n [\n -110.4510498046875,\n 44.47593096075066\n ],\n [\n -110.47164916992188,\n 44.46858121270152\n ],\n [\n -110.48538208007811,\n 44.46221068235642\n ],\n [\n -110.50323486328125,\n 44.4548592065362\n ],\n [\n -110.50872802734374,\n 44.459270203098846\n ],\n [\n -110.51559448242188,\n 44.46074046123939\n ],\n [\n -110.51284790039062,\n 44.46564105431543\n ],\n [\n -110.52864074707031,\n 44.47936052641368\n ],\n [\n -110.55541992187499,\n 44.473971118440275\n ],\n [\n -110.55953979492188,\n 44.459270203098846\n ],\n [\n -110.56709289550781,\n 44.45240850891029\n ],\n [\n -110.56503295898438,\n 44.447016612127456\n ],\n [\n -110.58837890625,\n 44.43721188818857\n ],\n [\n -110.57601928710938,\n 44.42103049629628\n ],\n [\n -110.57533264160156,\n 44.40729731741751\n ],\n [\n -110.56571960449219,\n 44.39356091349481\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"194","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Briggs, Michelle A.","contributorId":286899,"corporation":false,"usgs":false,"family":"Briggs","given":"Michelle A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":836352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Albertson, Lindsey K.","contributorId":218803,"corporation":false,"usgs":false,"family":"Albertson","given":"Lindsey","email":"","middleInitial":"K.","affiliations":[{"id":39916,"text":"Montana State University, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":836353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lujan, Dominique R.","contributorId":286901,"corporation":false,"usgs":false,"family":"Lujan","given":"Dominique R.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":836354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tronstad, Lusha M.","contributorId":224819,"corporation":false,"usgs":false,"family":"Tronstad","given":"Lusha M.","affiliations":[{"id":40947,"text":"Wyoming Natural Diversity Database, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":836355,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glassic, Hayley C.","contributorId":278613,"corporation":false,"usgs":false,"family":"Glassic","given":"Hayley C.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836356,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":836351,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koel, Todd M.","contributorId":270657,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":836357,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261909,"text":"70261909 - 2021 - Eruption of compositionally heterogeneous andesites from a complex storage region during the 2006 eruption of Augustine Volcano","interactions":[],"lastModifiedDate":"2025-01-02T15:01:27.2945","indexId":"70261909","displayToPublicDate":"2021-02-25T08:55:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Eruption of compositionally heterogeneous andesites from a complex storage region during the 2006 eruption of Augustine Volcano","docAbstract":"Despite the common occurrence of heterogeneous andesitic eruptions, few studies have investigated the compositional effects on microlite crystallization and vesiculation in co-erupted natural samples. In 2006, Augustine Volcano erupted compositionally heterogeneous andesites that range from 56.4 to 63.3 wt% SiO2 and include two endmember lithologic groups: low-silica andesite (LSA) and high-silica andesite (HSA). Textural and compositional differences between LSA and HSA end members are explored for two discrete, sequential vulcanian explosions from January 17 (event 9) and 27 (event 10), 2006. Groundmass glass compositions of pyroclasts within LSA and HSA compositional suites are not colinear and do not correlate with plagioclase microlite crystallinities, indicating eruption from multiple isolated shallow magma reservoirs with various pressure-temperature pathways. HSA pyroclasts have lower crystallinities, 0.02–0.24, than most LSA pyroclasts, 0.16–0.39, demonstrating the influence of composition on crystallinity. Additionally, microlite textural and groundmass glass compositional differences exist between consecutive vulcanian explosions. The event 9 deposits have a typical bimodal density distribution and groundmass glass compositions range from 65 to 78 wt% SiO2. Plagioclase microlite number densities (MNV) are 104.6–6.4 mm−3 and crystallinities are 0.02 to 0.28, similar to products from other andesitic vulcanian eruptions. Deposits from the early phase of event 10 have a bimodal density distribution and contain a high proportion of LSA pyroclasts, similar to event 9. Groundmass glass compositions range from 72 to 79 wt% SiO2 and plagioclase MNV are 105.9–6.3 mm−3, forming narrower ranges compared to event 9. A transition occurred during the later phase of event 10 to a unimodal density distribution, a more homogeneous groundmass glass composition, 75–78 wt% SiO2, a higher proportion of HSA pyroclasts, and the highest MNV of 105.9–6.7 mm−3. We interpret this shift to reflect eruption from reservoir depths around 4–6 km and the cessation of pre-eruptive magma staging in the upper conduit, transitioning the eruption to continuous and effusive phases. Attention to heterogeneous andesitic erupted products reveals additional details about heterogeneous shallow magma storage, variable upper conduit magma staging, and a range of pressure-temperature paths prior to fragmentation.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-020-01431-2","usgsCitation":"Benage, M.C., Wright, H.M., and Coombs, M.L., 2021, Eruption of compositionally heterogeneous andesites from a complex storage region during the 2006 eruption of Augustine Volcano: Bulletin of Volcanology, v. 83, 17; 23 p., https://doi.org/10.1007/s00445-020-01431-2.","productDescription":"17; 23 p.","ipdsId":"IP-123502","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":465608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Augustine Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -153.51368537912168,\n 59.40176810974776\n ],\n [\n -153.51368537912168,\n 59.322048642759654\n ],\n [\n -153.36796855048897,\n 59.322048642759654\n ],\n [\n -153.36796855048897,\n 59.40176810974776\n ],\n [\n -153.51368537912168,\n 59.40176810974776\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"83","noUsgsAuthors":false,"publicationDate":"2021-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Benage, Mary Catherine 0000-0002-8793-7722","orcid":"https://orcid.org/0000-0002-8793-7722","contributorId":336948,"corporation":false,"usgs":true,"family":"Benage","given":"Mary","email":"","middleInitial":"Catherine","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":922246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":922247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":922248,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70234266,"text":"70234266 - 2021 - Subducting oceanic basement roughness impacts on upper plate tectonic structure and a backstop splay fault zone activated in the southern Kodiak aftershock region of the Mw 9.2, 1964 megathrust rupture, Alaska","interactions":[],"lastModifiedDate":"2022-08-05T13:32:23.783492","indexId":"70234266","displayToPublicDate":"2021-02-25T08:25:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Subducting oceanic basement roughness impacts on upper plate tectonic structure and a backstop splay fault zone activated in the southern Kodiak aftershock region of the Mw 9.2, 1964 megathrust rupture, Alaska","docAbstract":"In 1964, the Alaska margin ruptured in a giant Mw 9.2 megathrust earthquake, the 2nd largest during worldwide instrumental recording. The coseismic slip and aftershock region offshore Kodiak Island was surveyed in 1977 – 1981 to understand the region’s tectonics. We re-processed multichannel seismic (MCS) field data using current standard Kirchhoff depth migration and/or MCS traveltime tomography. Further surveys in 1994 added P-wave velocity structure from wide-angle seismic lines and multibeam bathymetry. Published regional gravity, backscatter, and earthquake compilations also became available at this time.
Beneath the trench, rough oceanic crust is covered by ~3 to 5 km thick sediment. Sediment on the subducting plate modulates the plate interface relief. The accreted prism’s imbricate thrust faults have a complex P-wave velocity structure. Landward, an accelerated increase in P-wave velocities is marked by a backstop splay fault zone (BSFZ) that marks a transition from the prism to the higher rigidity rock beneath the middle and upper slope. Structures associated with this feature may indicate fluid flow. Further upslope, another fault extends >100 km along-strike across the middle slope. Erosion from subducting seamounts leaves embayments in the frontal prism.
Plate interface roughness varies along the subduction zone. Beneath the lower and middle slope, 2.5 D plate interface images show modest relief whereas the oceanic basement image is rougher. The 1964 earthquake slip maximum coincides with the leading/landward flank of a subducting seamount and the BSFZ. The BSFZ is a potentially active structure and should be considered in tsunami hazard assessments.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02275.1","usgsCitation":"Krabbenhoeft, A., von Huene, R.E., Miller, J.J., and Klaeschen, D., 2021, Subducting oceanic basement roughness impacts on upper plate tectonic structure and a backstop splay fault zone activated in the southern Kodiak aftershock region of the Mw 9.2, 1964 megathrust rupture, Alaska: Geosphere, v. 17, no. 2, p. 409-437, https://doi.org/10.1130/GES02275.1.","productDescription":"29 p.","startPage":"409","endPage":"437","ipdsId":"IP-118908","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":453307,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02275.1","text":"Publisher Index Page"},{"id":404873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.96240234375,\n 55.29788360510556\n ],\n [\n -150.46875,\n 55.29788360510556\n ],\n [\n -150.46875,\n 56.49889156789072\n ],\n [\n -153.96240234375,\n 56.49889156789072\n ],\n [\n -153.96240234375,\n 55.29788360510556\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Krabbenhoeft, Anne","contributorId":208084,"corporation":false,"usgs":false,"family":"Krabbenhoeft","given":"Anne","email":"","affiliations":[{"id":37708,"text":"GEOMAR Helmholtz Center for Ocean Research Kiel, Wischhofstr. 1-3, 24148 Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":848365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":848366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, John J. 0000-0002-9098-0967 jmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":3785,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"jmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":848367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klaeschen, Dirk","contributorId":198022,"corporation":false,"usgs":false,"family":"Klaeschen","given":"Dirk","email":"","affiliations":[],"preferred":false,"id":848368,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70218452,"text":"70218452 - 2021 - Implications of historical and contemporary processes on genetic differentiation of a declining boreal songbird: The rusty blackbird","interactions":[],"lastModifiedDate":"2021-02-26T14:05:43.154105","indexId":"70218452","displayToPublicDate":"2021-02-25T08:01:04","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Implications of historical and contemporary processes on genetic differentiation of a declining boreal songbird: The rusty blackbird","docAbstract":"First-order dynamic occupancy models (FODOMs) are a class of state-space model in which the true state (occurrence) is observed imperfectly. An important assumption of FODOMs is that site dynamics only depend on the current state and that variations in dynamic processes are adequately captured with covariates or random effects. However, it is often difficult to understand and/or measure the covariates that generate ecological data, which are typically spatiotemporally correlated. Consequently, the non-independent error structure of correlated data causes underestimation of parameter uncertainty and poor ecological inference. Here, we extend the FODOM framework with a second-order Markov process to accommodate site memory when covariates are not available. Our modeling framework can be used to make reliable inference about site occupancy, colonization, extinction, turnover, and detection probabilities. We present a series of simulations to illustrate the data requirements and model performance. We then applied our modeling framework to 13 yr of data from an amphibian community in southern Arizona, USA. In this analysis, we found residual temporal autocorrelation of population processes for most species, even after accounting for long-term drought dynamics. Our approach represents a valuable advance in obtaining inference on population dynamics, especially as they relate to metapopulations.
Natal dispersal is assumed to be a particularly risky movement behavior as individuals transfer, often long distances, from birth site to site of potential first reproduction. Though, because this behavior persists in populations, it is assumed that dispersal increases the fitness of individuals despite the potential for increased risk of mortality. The extent of dispersal risk, however, has rarely been tested, especially for large mammals. Therefore, we aimed to test the relationship between dispersal and survival for both males and females in a large herbivore. Using a radio-transmittered sample of 398 juvenile male and 276 juvenile female white-tailed deer (Odocoileus virginianus), we compared survival rates of dispersers and non-dispersers. We predicted that dispersing deer would experience greater overall mortality than philopatric deer due to direct transfer-related risks (e.g., vehicular collision), indirect immigration-related mortality attributable to colonization of unfamiliar habitat, and increased over-winter mortality associated with energetic costs of movement and unfamiliarity with recently colonized habitat. For both male and female yearlings, survival rates of dispersers (male = 49.9%, female = 64.0%) did not differ from non-dispersers (male = 51.6%, female = 70.7%). Only two individuals (both female) were killed by vehicular collision during transfer, and over-winter survival patterns were similar between the two groups. Although dispersal movement likely incurs energetic costs on dispersers, these costs do not necessarily translate to decreased survival. In many species, including white-tailed deer, dispersal is likely condition-dependent, such that larger and healthier individuals are more likely to disperse; therefore, costs associated with dispersal are more likely to be borne successfully by those individuals that do disperse. Whether low-risk dispersal of large mammals is the rule or the exception will require additional research. Further, future research is needed to evaluate non-survival fitness-related costs and benefits of dispersal (e.g., increased reproductive opportunities for dispersers).
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7227","usgsCitation":"Long, E., Diefenbach, D.R., Lutz, C., Wallingford, B., and Rosenberry, C., 2021, Risky movements? Natal dispersal does not decrease survival of a large herbivore: Ecology and Evolution, v. 11, no. 6, p. 2731-2740, https://doi.org/10.1002/ece3.7227.","productDescription":"10 p.","startPage":"2731","endPage":"2740","ipdsId":"IP-118210","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":453313,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7227","text":"Publisher Index Page"},{"id":395944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-79.916171,39.720893],[-80.075947,39.72135],[-80.421388,39.721189],[-80.519342,39.721403],[-80.519423,39.806181],[-80.518891,39.890964],[-80.519248,39.936967],[-80.51896,40.078089],[-80.519039,40.342101],[-80.517991,40.367968],[-80.51769,40.462467],[-80.51899,40.473667],[-80.519002,40.877543],[-80.519891,40.906661],[-80.519091,40.921061],[-80.518928,41.070954],[-80.519144,41.171203],[-80.518693,41.248855],[-80.518993,41.268155],[-80.518794,41.305509],[-80.519129,41.312408],[-80.519345,41.340145],[-80.518993,41.435454],[-80.519339,41.539297],[-80.519425,41.977522],[-80.435451,42.005611],[-80.409776,42.011578],[-80.373066,42.024102],[-80.371869,42.023966],[-80.363251,42.027973],[-80.349169,42.030243],[-80.329976,42.036168],[-80.296758,42.049076],[-80.230486,42.077957],[-80.188085,42.094257],[-80.165884,42.105857],[-80.154084,42.114757],[-80.136213,42.149937],[-80.13043,42.156331],[-80.117368,42.166341],[-80.088512,42.173184],[-80.077388,42.171262],[-80.073381,42.168658],[-80.080028,42.163625],[-80.071981,42.155357],[-80.078781,42.151457],[-80.076281,42.147857],[-80.07198,42.146057],[-80.06108,42.144857],[-79.989186,42.177051],[-79.931324,42.206737],[-79.923924,42.207546],[-79.90105,42.216701],[-79.886187,42.224933],[-79.867979,42.230999],[-79.844661,42.235486],[-79.798447,42.255939],[-79.761951,42.26986],[-79.762152,42.243054],[-79.761759,42.162675],[-79.762122,42.131246],[-79.761709,42.11899],[-79.761798,42.019042],[-79.761374,41.999067],[-79.670128,41.999335],[-79.472472,41.998255],[-79.249772,41.998807],[-79.17857,41.999458],[-79.061265,41.999259],[-78.983065,41.998949],[-78.874759,41.997559],[-78.749754,41.998109],[-78.59665,41.999877],[-78.308128,41.999415],[-78.271204,41.998968],[-78.12473,42.000452],[-78.031177,41.999415],[-77.997508,41.998758],[-77.83203,41.998524],[-77.505308,42.00007],[-77.124693,41.999395],[-77.063676,42.000461],[-76.920784,42.001774],[-76.749675,42.001689],[-76.558118,42.000155],[-76.462155,41.998934],[-76.343722,41.998346],[-76.131201,41.998954],[-75.98025,41.999035],[-75.870677,41.998828],[-75.742217,41.997864],[-75.610316,41.99896],[-75.359579,41.999445],[-75.353504,41.99711],[-75.346568,41.995324],[-75.341125,41.992772],[-75.337602,41.9867],[-75.337791,41.984386],[-75.34246,41.974303],[-75.342204,41.972872],[-75.339488,41.970786],[-75.335771,41.970315],[-75.329318,41.968232],[-75.322384,41.961693],[-75.32004,41.960867],[-75.318168,41.954236],[-75.312817,41.950182],[-75.310358,41.949012],[-75.303966,41.948216],[-75.301664,41.94838],[-75.301233,41.9489],[-75.301593,41.952811],[-75.300409,41.953871],[-75.29858,41.954521],[-75.293713,41.954593],[-75.29143,41.952477],[-75.291762,41.947092],[-75.290966,41.945039],[-75.289383,41.942891],[-75.279094,41.938917],[-75.277243,41.933598],[-75.276501,41.926679],[-75.276552,41.922208],[-75.275368,41.919564],[-75.269736,41.911363],[-75.267562,41.907054],[-75.267773,41.901971],[-75.272778,41.897112],[-75.272581,41.893168],[-75.271292,41.88736],[-75.267789,41.885982],[-75.263005,41.885109],[-75.260623,41.883783],[-75.257564,41.877108],[-75.258439,41.875087],[-75.261488,41.873277],[-75.263815,41.870757],[-75.263673,41.868105],[-75.262802,41.866213],[-75.260527,41.8638],[-75.257825,41.862154],[-75.251197,41.86204],[-75.248045,41.8633],[-75.243345,41.866875],[-75.241134,41.867118],[-75.238743,41.865699],[-75.234565,41.861569],[-75.231612,41.859459],[-75.22572,41.857481],[-75.223734,41.857456],[-75.220125,41.860534],[-75.21497,41.867449],[-75.209741,41.86925],[-75.204002,41.869867],[-75.197836,41.868807],[-75.194382,41.867287],[-75.191441,41.865063],[-75.190203,41.862454],[-75.188888,41.861264],[-75.186993,41.860109],[-75.185254,41.85993],[-75.183937,41.860515],[-75.182271,41.862198],[-75.180497,41.86568],[-75.179134,41.869935],[-75.176633,41.872371],[-75.174574,41.87266],[-75.170565,41.871608],[-75.169142,41.87029],[-75.168053,41.867043],[-75.168733,41.859258],[-75.166217,41.853862],[-75.164168,41.851586],[-75.161541,41.849836],[-75.156512,41.848327],[-75.152898,41.848564],[-75.143824,41.851737],[-75.140241,41.852078],[-75.130983,41.845145],[-75.127913,41.844903],[-75.118789,41.845819],[-75.115598,41.844638],[-75.114399,41.843583],[-75.113369,41.840698],[-75.113441,41.836298],[-75.114998,41.8303],[-75.115147,41.827285],[-75.114837,41.82567],[-75.113334,41.822782],[-75.100024,41.818347],[-75.093537,41.813375],[-75.089484,41.811576],[-75.085789,41.811626],[-75.079818,41.814815],[-75.078063,41.815112],[-75.074409,41.815088],[-75.072172,41.813732],[-75.071751,41.811901],[-75.072168,41.808327],[-75.074412,41.802191],[-75.076889,41.798509],[-75.07827,41.797467],[-75.081415,41.796483],[-75.088328,41.797534],[-75.092876,41.796386],[-75.101463,41.787941],[-75.102329,41.786503],[-75.103548,41.782008],[-75.10464,41.774203],[-75.104334,41.772693],[-75.103492,41.771238],[-75.10099,41.769121],[-75.095451,41.768366],[-75.09281,41.768361],[-75.079478,41.771205],[-75.075942,41.771518],[-75.074231,41.770518],[-75.072664,41.768807],[-75.068567,41.767298],[-75.064901,41.766686],[-75.060759,41.764638],[-75.053431,41.752538],[-75.052808,41.744725],[-75.054818,41.735168],[-75.053527,41.72715],[-75.049699,41.715093],[-75.049862,41.713309],[-75.050689,41.711969],[-75.052226,41.711396],[-75.061174,41.712935],[-75.06663,41.712588],[-75.068642,41.710146],[-75.06883,41.708161],[-75.067278,41.705434],[-75.059829,41.699716],[-75.056745,41.695703],[-75.052736,41.688393],[-75.051234,41.682439],[-75.051285,41.679961],[-75.052653,41.678436],[-75.058765,41.674412],[-75.059332,41.67232],[-75.05843,41.669653],[-75.057251,41.668933],[-75.053991,41.668194],[-75.04992,41.662556],[-75.048683,41.656317],[-75.049281,41.641862],[-75.048658,41.633781],[-75.048199,41.632011],[-75.043562,41.62364],[-75.044224,41.617978],[-75.045508,41.616203],[-75.047298,41.615791],[-75.048385,41.615986],[-75.051856,41.618157],[-75.05385,41.618655],[-75.060098,41.617482],[-75.06156,41.616429],[-75.061675,41.615468],[-75.059956,41.612306],[-75.059725,41.610801],[-75.062716,41.609639],[-75.067795,41.610143],[-75.071667,41.609501],[-75.074626,41.607905],[-75.074613,41.605711],[-75.066955,41.599428],[-75.063677,41.594739],[-75.060012,41.590813],[-75.052858,41.587772],[-75.04676,41.583258],[-75.043879,41.575094],[-75.04049,41.569688],[-75.036989,41.567049],[-75.033162,41.565092],[-75.029211,41.564637],[-75.027343,41.563541],[-75.018524,41.551802],[-75.016328,41.546501],[-75.016144,41.544246],[-75.017626,41.542734],[-75.022828,41.541456],[-75.024798,41.539801],[-75.024757,41.535099],[-75.024206,41.534018],[-75.023018,41.533147],[-75.016616,41.53211],[-75.014919,41.531399],[-75.009552,41.528461],[-75.00385,41.524052],[-75.001297,41.52065],[-75.000911,41.519292],[-75.000935,41.517638],[-75.002592,41.51456],[-75.003706,41.511118],[-75.003694,41.509295],[-75.003151,41.508101],[-74.999612,41.5074],[-74.993893,41.508754],[-74.987645,41.508738],[-74.985653,41.507926],[-74.984372,41.506611],[-74.982385,41.500981],[-74.982168,41.498486],[-74.982463,41.496467],[-74.985247,41.489113],[-74.985595,41.485863],[-74.985004,41.483703],[-74.983341,41.480894],[-74.981652,41.479945],[-74.969887,41.477438],[-74.95826,41.476396],[-74.956411,41.476735],[-74.94808,41.480625],[-74.945634,41.483213],[-74.941798,41.483542],[-74.932585,41.482323],[-74.926835,41.478327],[-74.924092,41.477138],[-74.917282,41.477041],[-74.912517,41.475605],[-74.909181,41.472436],[-74.908133,41.468117],[-74.908103,41.464639],[-74.906887,41.461131],[-74.9042,41.459806],[-74.895069,41.45819],[-74.892114,41.456959],[-74.890358,41.455324],[-74.889116,41.452534],[-74.889075,41.451245],[-74.894931,41.446099],[-74.896399,41.442179],[-74.896025,41.439987],[-74.893913,41.43893],[-74.888691,41.438259],[-74.876721,41.440338],[-74.864688,41.443993],[-74.858578,41.444427],[-74.8542,41.443166],[-74.848602,41.440179],[-74.845572,41.437577],[-74.836915,41.431625],[-74.834635,41.430796],[-74.830671,41.430503],[-74.828592,41.430698],[-74.826031,41.431736],[-74.82288,41.436792],[-74.817995,41.440505],[-74.812123,41.442982],[-74.807582,41.442847],[-74.805655,41.442101],[-74.801225,41.4381],[-74.80037,41.43606],[-74.800095,41.432661],[-74.799546,41.43129],[-74.795396,41.42398],[-74.793856,41.422671],[-74.790417,41.42166],[-74.784339,41.422397],[-74.778029,41.425104],[-74.773239,41.426352],[-74.77065,41.42623],[-74.763701,41.423612],[-74.758587,41.423287],[-74.754359,41.425147],[-74.75068,41.427984],[-74.743821,41.430635],[-74.740932,41.43116],[-74.738455,41.430641],[-74.736688,41.429228],[-74.735519,41.427465],[-74.734893,41.425818],[-74.734731,41.422699],[-74.738684,41.413463],[-74.741086,41.411413],[-74.741717,41.40788],[-74.740963,41.40512],[-74.738554,41.401191],[-74.736103,41.398398],[-74.73364,41.396975],[-74.730384,41.39566],[-74.720891,41.39469],[-74.715979,41.392584],[-74.713411,41.389814],[-74.710391,41.382102],[-74.708458,41.378901],[-74.703282,41.375093],[-74.694968,41.370431],[-74.691129,41.367324],[-74.689516,41.363843],[-74.689767,41.361558],[-74.691076,41.36034],[-74.696398,41.357339],[-74.694914,41.357423],[-74.700595,41.354553],[-74.704429,41.354043],[-74.708514,41.352734],[-74.720923,41.347384],[-74.730373,41.345983],[-74.735622,41.346518],[-74.753239,41.346122],[-74.755971,41.344953],[-74.760325,41.340325],[-74.763499,41.331568],[-74.766714,41.328558],[-74.771588,41.325079],[-74.774887,41.324326],[-74.781584,41.324229],[-74.789095,41.323281],[-74.792116,41.322465],[-74.79504,41.320407],[-74.795822,41.318516],[-74.792377,41.314088],[-74.791991,41.311639],[-74.792558,41.310628],[-74.806858,41.303155],[-74.812033,41.298157],[-74.815703,41.296151],[-74.821884,41.293838],[-74.830057,41.2872],[-74.834067,41.281111],[-74.838366,41.277286],[-74.841137,41.27098],[-74.846319,41.263077],[-74.846506,41.261576],[-74.845031,41.258055],[-74.845883,41.254945],[-74.846932,41.253318],[-74.848987,41.251192],[-74.854669,41.25051],[-74.856003,41.250094],[-74.857151,41.248975],[-74.861678,41.241575],[-74.862049,41.237609],[-74.866182,41.232132],[-74.867405,41.22777],[-74.866839,41.226865],[-74.860837,41.222317],[-74.859323,41.220507],[-74.859632,41.219077],[-74.860398,41.217454],[-74.867287,41.208754],[-74.874034,41.198543],[-74.878275,41.190489],[-74.878492,41.187504],[-74.882139,41.180836],[-74.889424,41.1736],[-74.899701,41.166181],[-74.901172,41.16387],[-74.90178,41.161394],[-74.905256,41.155668],[-74.923169,41.138146],[-74.931141,41.133387],[-74.945067,41.129052],[-74.947714,41.126292],[-74.947334,41.124439],[-74.947912,41.12356],[-74.964294,41.114237],[-74.966298,41.113669],[-74.969312,41.113869],[-74.972917,41.113327],[-74.979873,41.110423],[-74.982212,41.108245],[-74.991718,41.092284],[-74.991815,41.089132],[-74.991013,41.088578],[-74.988263,41.088222],[-74.984782,41.088545],[-74.981314,41.08986],[-74.975298,41.094073],[-74.972036,41.095562],[-74.969434,41.096074],[-74.967464,41.095327],[-74.966759,41.093425],[-74.968389,41.087797],[-74.970987,41.085293],[-74.98259,41.079172],[-74.989332,41.078319],[-74.994847,41.076556],[-74.999617,41.073943],[-75.006376,41.067546],[-75.011133,41.067521],[-75.01257,41.066281],[-75.015271,41.061215],[-75.015867,41.05821],[-75.017239,41.055491],[-75.019186,41.052968],[-75.025702,41.046482],[-75.026376,41.04444],[-75.02543,41.04071],[-75.025777,41.039806],[-75.030701,41.038416],[-75.034496,41.036755],[-75.040668,41.031755],[-75.070532,41.01862],[-75.074999,41.01713],[-75.081101,41.016838],[-75.089787,41.014549],[-75.090312,41.013302],[-75.095556,41.008874],[-75.100682,41.006716],[-75.109114,41.004102],[-75.110595,41.002174],[-75.123423,40.996129],[-75.127196,40.993954],[-75.130575,40.991093],[-75.131619,40.9889],[-75.13153,40.984914],[-75.132106,40.982566],[-75.133086,40.980179],[-75.135521,40.976865],[-75.135526,40.973807],[-75.13378,40.970973],[-75.131364,40.969277],[-75.129074,40.968976],[-75.122603,40.970152],[-75.120514,40.968369],[-75.11977,40.96651],[-75.12065,40.964028],[-75.119893,40.961646],[-75.118904,40.956361],[-75.117764,40.953023],[-75.111683,40.948111],[-75.106153,40.939671],[-75.105524,40.936294],[-75.095526,40.924152],[-75.079279,40.91389],[-75.076956,40.90988],[-75.076092,40.907042],[-75.075188,40.900154],[-75.075957,40.895694],[-75.07534,40.894162],[-75.07392,40.892176],[-75.065438,40.885682],[-75.062149,40.882289],[-75.058655,40.877654],[-75.053664,40.87366],[-75.051508,40.870224],[-75.050839,40.868067],[-75.051029,40.865662],[-75.053294,40.8599],[-75.060491,40.85302],[-75.064328,40.848338],[-75.066014,40.847591],[-75.07083,40.847392],[-75.073544,40.84894],[-75.076684,40.849875],[-75.090962,40.849187],[-75.095784,40.847082],[-75.097221,40.844672],[-75.097586,40.843042],[-75.097572,40.840967],[-75.097006,40.839336],[-75.09494,40.837103],[-75.085517,40.830085],[-75.083822,40.827805],[-75.083929,40.824471],[-75.085387,40.821972],[-75.090518,40.815913],[-75.096147,40.812211],[-75.098279,40.810286],[-75.100277,40.807578],[-75.100739,40.805488],[-75.100165,40.803],[-75.100277,40.801176],[-75.1008,40.799797],[-75.108505,40.791094],[-75.111343,40.789896],[-75.116842,40.78935],[-75.123088,40.786746],[-75.125867,40.784026],[-75.131465,40.77595],[-75.133303,40.774124],[-75.1344,40.773765],[-75.139106,40.773606],[-75.149378,40.774786],[-75.16365,40.778386],[-75.169523,40.778473],[-75.171587,40.777745],[-75.173349,40.776129],[-75.17562,40.772923],[-75.176855,40.768721],[-75.177477,40.764225],[-75.17904,40.761897],[-75.183037,40.759344],[-75.191796,40.75583],[-75.196533,40.751631],[-75.196861,40.750097],[-75.196325,40.747137],[-75.195349,40.745473],[-75.18578,40.737266],[-75.182804,40.73365],[-75.182084,40.731522],[-75.1825,40.729922],[-75.186372,40.72397],[-75.189412,40.71797],[-75.192612,40.715874],[-75.19442,40.714018],[-75.19872,40.705298],[-75.20392,40.691498],[-75.20092,40.685498],[-75.19692,40.681299],[-75.19058,40.679379],[-75.184516,40.679971],[-75.180564,40.679363],[-75.177587,40.677731],[-75.176803,40.675715],[-75.177491,40.672595],[-75.182756,40.665971],[-75.18794,40.663811],[-75.190852,40.661939],[-75.196676,40.655123],[-75.200452,40.649219],[-75.200468,40.646899],[-75.193492,40.642275],[-75.192276,40.640803],[-75.191059,40.637971],[-75.188579,40.624628],[-75.189283,40.621492],[-75.190691,40.619956],[-75.197891,40.619332],[-75.200708,40.618356],[-75.201812,40.617188],[-75.201348,40.614628],[-75.198499,40.611492],[-75.195923,40.606788],[-75.192291,40.602676],[-75.190146,40.590359],[-75.190796,40.586838],[-75.194656,40.58194],[-75.195114,40.579689],[-75.194046,40.576256],[-75.192352,40.574257],[-75.186737,40.569406],[-75.183151,40.567354],[-75.175307,40.564996],[-75.168609,40.564111],[-75.162871,40.564096],[-75.158446,40.565286],[-75.147368,40.573152],[-75.141906,40.575273],[-75.136748,40.575731],[-75.117292,40.573211],[-75.110903,40.570671],[-75.100325,40.567811],[-75.0957,40.564401],[-75.078503,40.548296],[-75.068615,40.542223],[-75.067257,40.539584],[-75.066426,40.536619],[-75.06509,40.526148],[-75.065853,40.519495],[-75.066001,40.510716],[-75.065275,40.504682],[-75.062373,40.491689],[-75.061937,40.486362],[-75.062227,40.481391],[-75.064327,40.476795],[-75.067776,40.472827],[-75.06805,40.468578],[-75.067302,40.464954],[-75.070568,40.456348],[-75.070568,40.455165],[-75.067425,40.448323],[-75.062923,40.433407],[-75.061489,40.422848],[-75.058848,40.418065],[-75.056102,40.416066],[-75.046473,40.413792],[-75.043071,40.411603],[-75.041651,40.409894],[-75.036616,40.406796],[-75.028315,40.403883],[-75.024775,40.403455],[-75.017221,40.404638],[-75.003351,40.40785],[-74.998651,40.410093],[-74.996378,40.410528],[-74.988901,40.408773],[-74.985467,40.405935],[-74.982735,40.404432],[-74.969597,40.39977],[-74.965508,40.397337],[-74.963997,40.395246],[-74.953697,40.376081],[-74.948722,40.364768],[-74.946006,40.357306],[-74.945088,40.347332],[-74.943776,40.342564],[-74.939711,40.338006],[-74.933111,40.333106],[-74.92681,40.329406],[-74.91741,40.322406],[-74.90831,40.316907],[-74.90331,40.315607],[-74.896409,40.315107],[-74.891609,40.313007],[-74.887109,40.310307],[-74.880609,40.305607],[-74.868209,40.295207],[-74.860492,40.284584],[-74.856508,40.277407],[-74.853108,40.269707],[-74.846608,40.258808],[-74.842308,40.250508],[-74.836307,40.246208],[-74.823907,40.241508],[-74.819507,40.238508],[-74.795306,40.229408],[-74.781206,40.221508],[-74.77136,40.215399],[-74.770406,40.214508],[-74.766905,40.207709],[-74.760605,40.198909],[-74.756905,40.189409],[-74.755605,40.186709],[-74.754305,40.185209],[-74.751705,40.183309],[-74.744105,40.181009],[-74.737205,40.177609],[-74.733804,40.174509],[-74.722304,40.160609],[-74.721504,40.158409],[-74.721604,40.15381],[-74.722604,40.15001],[-74.724304,40.14701],[-74.725663,40.145495],[-74.740605,40.13521],[-74.742905,40.13441],[-74.745905,40.13421],[-74.755305,40.13471],[-74.758882,40.134036],[-74.762864,40.132541],[-74.769488,40.129145],[-74.782106,40.12081],[-74.785106,40.12031],[-74.788706,40.12041],[-74.800607,40.12281],[-74.812807,40.12691],[-74.816307,40.12761],[-74.819007,40.12751],[-74.822307,40.12671],[-74.825907,40.12391],[-74.828408,40.12031],[-74.832808,40.11171],[-74.835108,40.10391],[-74.838008,40.10091],[-74.843408,40.09771],[-74.851108,40.09491],[-74.854409,40.09311],[-74.856509,40.09131],[-74.858209,40.08881],[-74.859809,40.08491],[-74.860909,40.08371],[-74.863809,40.08221],[-74.880209,40.07881],[-74.88781,40.07581],[-74.909011,40.07021],[-74.911911,40.06991],[-74.920811,40.07111],[-74.925311,40.07071],[-74.932211,40.068411],[-74.944412,40.063211],[-74.974713,40.048711],[-74.983913,40.042711],[-74.989914,40.037311],[-75.007914,40.023111],[-75.011115,40.021311],[-75.015515,40.019511],[-75.039316,40.013012],[-75.047016,40.008912],[-75.051217,40.004512],[-75.059017,39.992512],[-75.072017,39.980612],[-75.088618,39.975212],[-75.093718,39.974412],[-75.108119,39.970312],[-75.11922,39.965412],[-75.12692,39.961112],[-75.13012,39.958712],[-75.13352,39.954412],[-75.13572,39.947112],[-75.13612,39.933912],[-75.13502,39.927312],[-75.13282,39.921612],[-75.13012,39.917013],[-75.12792,39.911813],[-75.13082,39.900213],[-75.13342,39.896213],[-75.140221,39.888213],[-75.145421,39.884213],[-75.150721,39.882713],[-75.183023,39.882013],[-75.189323,39.880713],[-75.195324,39.877013],[-75.210425,39.865913],[-75.221025,39.861113],[-75.235026,39.856613],[-75.243431,39.854597],[-75.271159,39.84944],[-75.293376,39.848782],[-75.309674,39.850179],[-75.323232,39.849812],[-75.330433,39.849012],[-75.341765,39.846082],[-75.3544,39.839917],[-75.371835,39.827612],[-75.390536,39.815312],[-75.403737,39.807512],[-75.415041,39.801786],[-75.428038,39.809212],[-75.45374,39.820312],[-75.463341,39.823812],[-75.481242,39.829112],[-75.498843,39.833312],[-75.518444,39.836311],[-75.539346,39.838211],[-75.570464,39.839007],[-75.579849,39.838526],[-75.593666,39.837455],[-75.617251,39.833999],[-75.634706,39.830164],[-75.641518,39.828363],[-75.662822,39.82115],[-75.685991,39.811054],[-75.701208,39.802606],[-75.716969,39.791998],[-75.727049,39.784126],[-75.736489,39.775759],[-75.744394,39.767855],[-75.753066,39.757631],[-75.760346,39.747231],[-75.766058,39.737811],[-75.773558,39.722411],[-75.788359,39.721811],[-75.998649,39.721576],[-76.013067,39.72192],[-76.233259,39.721305],[-76.715594,39.721103],[-76.8901,39.720401],[-76.936601,39.720701],[-76.990903,39.7198],[-77.058204,39.7202],[-77.534758,39.720134],[-77.724115,39.720894],[-77.874719,39.722219],[-78.330715,39.722689],[-78.337111,39.722461],[-78.438839,39.722481],[-78.461422,39.722869],[-78.537702,39.72249],[-78.546415,39.722869],[-78.575893,39.722561],[-78.723529,39.723043],[-79.045548,39.722883],[-79.548465,39.720778],[-79.610623,39.721245],[-79.763774,39.720776],[-79.916171,39.720893]]]},\"properties\":{\"name\":\"Pennsylvania\",\"nation\":\"USA \"}}]}","volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Long, Eric S.","contributorId":276215,"corporation":false,"usgs":false,"family":"Long","given":"Eric S.","affiliations":[{"id":56939,"text":"Seattle Pacific University","active":true,"usgs":false}],"preferred":false,"id":834669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lutz, Clayton L.","contributorId":276216,"corporation":false,"usgs":false,"family":"Lutz","given":"Clayton L.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":834670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallingford, Bret D.","contributorId":276217,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret D.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":834671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, Christopher S.","contributorId":276218,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher S.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":834672,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217179,"text":"mcs2021 - 2021 - Mineral commodity summaries 2021","interactions":[],"lastModifiedDate":"2021-02-24T19:30:12.316619","indexId":"mcs2021","displayToPublicDate":"2021-02-24T14:35:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"seriesTitle":{"id":368,"text":"Mineral Commodity Summaries","active":false,"publicationSubtype":{"id":6}},"displayTitle":"Mineral Commodity Summaries 2021","title":"Mineral commodity summaries 2021","docAbstract":"Each mineral commodity chapter of the 2021 edition of the U.S. Geological Survey (USGS) Mineral Commodity Summaries (MCS) includes information on events, trends, and issues for each mineral commodity as well as discussions and tabular presentations on domestic industry structure, Government programs, tariffs, 5-year salient statistics, and world production and resources. The MCS is the earliest comprehensive source of 2020 mineral production data for the world. More than 90 individual minerals and materials are covered by 2-page synopses.
For mineral commodities for which there is a Government stockpile, detailed information concerning the stockpile status is included in the 2-page synopsis.
Abbreviations and units of measure and definitions of selected terms used in the report are in Appendix A and Appendix B, respectively. Reserves and resources information is in Appendix C, which includes “Part A—Resource and Reserve Classification for Minerals” and “Part B—Sources of Reserves Data.” A directory of USGS minerals information country specialists and their responsibilities is in Appendix D.
The USGS continually strives to improve the value of its publications to users. Constructive comments and suggestions by readers of the MCS 2021 are welcomed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/mcs2021","usgsCitation":"U.S. Geological Survey, 2021, Mineral commodity summaries 2021: U.S. Geological Survey, 200 p., https://doi.org/10.3133/mcs2021.","productDescription":"200 p.","numberOfPages":"200","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-125100","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":382519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/periodicals/mcs2021/coverthb.jpg"},{"id":382587,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/periodicals/mcs2021/mcs2021.pdf","text":"Report","size":"11.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"MCS 2021"},{"id":382588,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://www.usgs.gov/centers/nmic/mineral-commodity-summaries","text":"Mineral Commodity Summaries Prior to 2021"},{"id":382589,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://www.usgs.gov/centers/nmic/commodity-statistics-and-information","text":"Commodity Statistics and Information"}],"contact":"Director, National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
Steady-state numerical groundwater-flow models were constructed for the islands of Kaua‘i, O‘ahu, and Maui to enable quantification of the hydrologic consequences of withdrawals and other stresses that can place limits on groundwater availability. The volcanic aquifers of Hawai‘i supply nearly all drinking water for the islands’ residents, freshwater for diverse industries, and natural discharge to springs, streams, and nearshore areas that support ecosystems, cultural practices, aesthetics, and recreation. Increases in groundwater withdrawal and changes in climate can cause water-table depression, saltwater rise, and reduction of natural groundwater discharge—all of which can limit fresh groundwater availability. The numerical models described in this report are designed to quantify these consequences. Separate models were created for each island using MODFLOW-2005 with the Seawater Intrusion package, which allows simulation of freshwater and saltwater in ocean-island aquifers. Calibration resulted in models that generally replicate observed water-level, stream base-flow, and spring-flow data, and simulate groundwater-flow directions and fresh groundwater thicknesses that are consistent with conceptual models. The calibrated models use hydraulic properties that are consistent with the ranges reported in previous studies. The models show that the relative distribution of fresh groundwater discharge to the ocean, streams, and springs and withdrawals for human use differ substantially among the three islands studied here. These differences indicate that consequences that limit the availability of fresh groundwater for human use are likely to differ among the three islands.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205126","usgsCitation":"Izuka, S.K., Rotzoll, K., and Nishikawa, T., 2021, Volcanic Aquifers of Hawai‘i—Construction and calibration of numerical models for assessing groundwater availability on Kaua‘i, O‘ahu, and Maui: U.S. Geological Survey Scientific Investigations Report 2020-5126, 63 p., https://doi.org/10.3133/sir20205126.","productDescription":"Report: viii, 63 p.; Data Release","numberOfPages":"63","ipdsId":"IP-071367","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":383611,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5126/covrthb.jpg"},{"id":383612,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5126/sir20205126.pdf","text":"Report","size":"53 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":383613,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K4DK2P","linkHelpText":"MODFLOW-2005 and SWI2 models for assessing groundwater availability in volcanic aquifers on Kaua‘i, O‘ahu, and Maui, Hawai‘i"},{"id":416444,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20155164","text":"Scientific Investigations Report 2015-5164","description":"Izuka, S.K., Engott, J.A., Rotzoll, Kolja, Bassiouni, Maoya, Johnson, A.G., Miller, L.D., and Mair, Alan, 2018, Volcanic aquifers of Hawai‘i—Hydrogeology, water budgets, and conceptual models (ver. 2.0, March 2018): U.S. Geological Survey Scientific Investigations Report 2015-5164, 158 p., https://doi.org/10.3133/sir20155164.","linkHelpText":"- Volcanic Aquifers of Hawai‘i—Hydrogeology, Water budgets, and Conceptual Models"},{"id":416445,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/pp1876","text":"Professional Paper 1876","description":"Izuka, S.K., and Rotzoll, K., 2023, Volcanic aquifers of Hawaiʻi—Contributions to assessing groundwater availability on Kauaʻi, Oʻahu, and Maui: U.S. Geological Survey Professional Paper 1876, 100 p., https://doi.org/10.3133/pp1876.","linkHelpText":"- Volcanic Aquifers of Hawai‘i—Contributions to Assessing Groundwater Availability on Kaua‘i, O‘ahu, and Maui"},{"id":417944,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20233010","text":"Fact Sheet 2023-3010","description":"Izuka, S.K., and Rotzoll, K., 2023, Availability of groundwater from the volcanic aquifers of the Hawaiian Islands: U.S. Geological Survey Fact Sheet 2023-3010, 4 p., https://doi.org/10.3133/fs20233010.","linkHelpText":"- Availability of Groundwater from the Volcanic Aquifers of the Hawaiian Islands"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaua'i, Maui, O'ahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.73095703125,\n 20.57365332356332\n ],\n [\n -155.90423583984375,\n 20.57365332356332\n ],\n [\n -155.90423583984375,\n 21.04861794324536\n ],\n [\n -156.73095703125,\n 21.04861794324536\n ],\n [\n -156.73095703125,\n 20.57365332356332\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.33221435546875,\n 21.235622362422877\n ],\n [\n -157.62359619140625,\n 21.235622362422877\n ],\n [\n -157.62359619140625,\n 21.72505868324388\n ],\n [\n -158.33221435546875,\n 21.72505868324388\n ],\n [\n -158.33221435546875,\n 21.235622362422877\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -159.85931396484375,\n 21.830906665069758\n ],\n [\n -159.22622680664062,\n 21.830906665069758\n ],\n [\n -159.22622680664062,\n 22.264951388846296\n ],\n [\n -159.85931396484375,\n 22.264951388846296\n ],\n [\n -159.85931396484375,\n 21.830906665069758\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Pacific Islands Water Science Center
U.S. Geological Survey
Inouye Regional Center
1845 Wasp Blvd., B176
Honolulu, HI 96818
Multispectral remote sensing data acquired by the Landsat 8 Operational Land Imager (OLI) sensor were analyzed using a new, automated technique to generate a map of exposed mineral and vegetation groups in the western San Juan Mountains, Colo., and the Four Corners Region of the United States. Band ratio results were combined into displayed mineral and vegetation groups using Boolean algebra. New analysis logic has been implemented to exploit the coastal aerosol band in Landsat 8 OLI data and identify concentrations of iron sulfate minerals. These may indicate the presence of near-surface pyrite, which can be a potential nonpoint source of acid rock drainage. Zoned occurrences of iron sulfate minerals in areas surrounding and down gradient of known sources of pyrite have been mapped using this technique. They show high correlation with occurrences of jarosite-bearing mineral assemblages, as mapped using airborne imaging spectrometer data and supporting field verification surveys. Mapping the occurrence of iron sulfate minerals produced by the weathering and oxidation of pyrite in exposed hydrothermally altered rocks can also provide an important indicator of the genetic environment of alteration and the associated mineral deposit type. The automated analysis methodology is being employed to rapidly and cost-effectively generate maps of large regions of the United States in support of U.S. Geological Survey mineral resource and mineral-environmental assessments. This map, which includes the ERDAS IMAGINE thematic raster format in the data release, has been attributed by pixel value with mineral and vegetation group classification data, which can be queried in most image processing and GIS software packages.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3466","usgsCitation":"Rockwell, B.W., Gnesda, W.R., and Hofstra, A.H., 2021, Improved automated identification and mapping of iron sulfate minerals, other mineral groups, and vegetation using Landsat 8 Operational Land Imager data, San Juan Mountains, Colorado, and Four Corners Region: U.S. Geological Survey Scientific Investigations Map 3466, 1 sheet, scale 1:325,000, 37-p. pamphlet, https://doi.org/10.3133/sim3466.","productDescription":"Pamphlet: v, 37 p.; 1 Sheet: 38.72 x 37.71 inches; 2 Data Releases: Read Me","onlineOnly":"Y","ipdsId":"IP-079681","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":382731,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ONOKKX","text":"USGS data release","linkHelpText":"Digital map of iron sulfate minerals, other mineral groups, and vegetation of the San Juan Mountains, Colorado, and Four Corners Region derived from automated analysis of Landsat 8 satellite data"},{"id":383537,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BYV5H4","text":"USGS data release","linkHelpText":"Digital map of iron sulfate minerals, other mineral groups, and vegetation of the western United States derived from automated analysis of Landsat 8 satellite data"},{"id":382727,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3466/coverthb2.jpg"},{"id":382729,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3466/sim3466_sheet1.pdf","text":"Sheet 1. Improved Automated Identification and Mapping of Iron Sulfate Minerals, Other Mineral Groups, and Vegetation using Landsat 8 Operational Land Imager Data, San Juan Mountains, Colorado, and Four Corners Region","size":"34.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3466 map sheet","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":382728,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3466/sim3466_pamphlet.pdf","text":"Report","size":"2.99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3466 pamphlet"},{"id":382730,"rank":4,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3466/ReadMe.txt","text":"Read Me","size":"12.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3466 map read me file"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Four Corners region, San Juan Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.4737548828125,\n 36.70365959719456\n ],\n [\n -106.2872314453125,\n 38.50948995925553\n ],\n [\n -109.039306640625,\n 39.10022600175347\n ],\n [\n -110.31372070312499,\n 36.87522650673951\n ],\n [\n -107.4737548828125,\n 36.70365959719456\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, MS-973
Denver, CO 80225-0046
The ongoing global pandemic caused by coronavirus disease has once again demonstrated the role of the family Coronaviridae in causing human disease outbreaks. Because severe acute respiratory syndrome coronavirus 2 was first detected in December 2019, information on its tropism, host range, and clinical manifestations in animals is limited. Given the limited information, data from other coronaviruses might be useful for informing scientific inquiry, risk assessment, and decision-making. We reviewed endemic and emerging infections of alphacoronaviruses and betacoronaviruses in wildlife, livestock, and companion animals and provide information on the receptor use, known hosts, and clinical signs associated with each host for 15 coronaviruses detected in humans and animals. This information can be used to guide implementation of a One Health approach that involves human health, animal health, environmental, and other relevant partners in developing strategies for preparedness, response, and control to current and future coronavirus disease threats.
","language":"English","publisher":"Centers for Disease Control and Prevention","doi":"10.3201/eid2704.203945","usgsCitation":"Ghai, R.R., Carpenter, A., Liew, A.Y., Martin, K.B., Herring, M.K., Gerber, S.I., Hall, A.J., Sleeman, J.M., VonDobschuetz, S., and Barton Behravesh, C., 2021, Animal reservoirs and hosts for emerging alphacoronaviruses and betacoronaviruses: Emerging Infectious Diseases, v. 27, no. 4, p. 1015-1022, https://doi.org/10.3201/eid2704.203945.","productDescription":"8 p.","startPage":"1015","endPage":"1022","ipdsId":"IP-122283","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":453316,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid2704.203945","text":"Publisher Index Page"},{"id":383698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ghai, Ria R.","contributorId":252886,"corporation":false,"usgs":false,"family":"Ghai","given":"Ria","email":"","middleInitial":"R.","affiliations":[{"id":50460,"text":"U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States (","active":true,"usgs":false}],"preferred":false,"id":811067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carpenter, Ann","contributorId":252887,"corporation":false,"usgs":false,"family":"Carpenter","given":"Ann","email":"","affiliations":[{"id":50461,"text":"U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States","active":true,"usgs":false}],"preferred":false,"id":811068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liew, Amanda Y.","contributorId":252889,"corporation":false,"usgs":false,"family":"Liew","given":"Amanda","email":"","middleInitial":"Y.","affiliations":[{"id":50461,"text":"U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States","active":true,"usgs":false}],"preferred":false,"id":811070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Krystalyn B.","contributorId":252890,"corporation":false,"usgs":false,"family":"Martin","given":"Krystalyn","email":"","middleInitial":"B.","affiliations":[{"id":50461,"text":"U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States","active":true,"usgs":false}],"preferred":false,"id":811071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herring, Meghan K.","contributorId":252888,"corporation":false,"usgs":false,"family":"Herring","given":"Meghan","email":"","middleInitial":"K.","affiliations":[{"id":50461,"text":"U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States","active":true,"usgs":false}],"preferred":false,"id":811069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerber, Susan I.","contributorId":252891,"corporation":false,"usgs":false,"family":"Gerber","given":"Susan","email":"","middleInitial":"I.","affiliations":[{"id":50461,"text":"U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States","active":true,"usgs":false}],"preferred":false,"id":811072,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hall, Aron J.","contributorId":252892,"corporation":false,"usgs":false,"family":"Hall","given":"Aron","email":"","middleInitial":"J.","affiliations":[{"id":50461,"text":"U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States","active":true,"usgs":false}],"preferred":false,"id":811073,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":811074,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"VonDobschuetz, Sophie","contributorId":252893,"corporation":false,"usgs":false,"family":"VonDobschuetz","given":"Sophie","email":"","affiliations":[{"id":50462,"text":"Food and Agriculture Organization of the United Nations, Rome,","active":true,"usgs":false}],"preferred":false,"id":811075,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barton Behravesh, Casey","contributorId":252894,"corporation":false,"usgs":false,"family":"Barton Behravesh","given":"Casey","email":"","affiliations":[{"id":50461,"text":"U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States","active":true,"usgs":false}],"preferred":false,"id":811076,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ]}