Plant population models are powerful tools for predicting climate change impacts in one location, but are difficult to apply at landscape scales. We overcome this limitation by taking advantage of two recent advances: remotely sensed, species-specific estimates of plant cover and statistical models developed for spatiotemporal dynamics of animal populations. Using computationally efficient model reparameterizations, we fit a spatiotemporal population model to a 28-year time series of sagebrush (Artemisia spp.) percent cover over a 2.5 × 5 km landscape in southwestern Wyoming while formally accounting for spatial autocorrelation. We include interannual variation in precipitation and temperature as covariates in the model to investigate how climate affects the cover of sagebrush. We then use the model to forecast the future abundance of sagebrush at the landscape scale under projected climate change, generating spatially explicit estimates of sagebrush population trajectories that have, until now, been impossible to produce at this scale. Our broadscale and long-term predictions are rooted in small-scale and short-term population dynamics and provide an alternative to predictions offered by species distribution models that do not include population dynamics. Our approach, which combines several existing techniques in a novel way, demonstrates the use of remote sensing data to model population responses to environmental change that play out at spatial scales far greater than the traditional field study plot.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1525","usgsCitation":"Tredennick, A.T., Hooten, M., Aldridge, C.L., Homer, C.G., Kleinhesselink, A.R., and Adler, P.B., 2016, Forecasting climate change impacts on plant populations over large spatial extents: Ecosphere, v. 7, no. 10, e01525; 16 p., https://doi.org/10.1002/ecs2.1525.","productDescription":"e01525; 16 p.","ipdsId":"IP-071731","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470538,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1525","text":"Publisher Index Page"},{"id":341852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","volume":"7","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-24","publicationStatus":"PW","scienceBaseUri":"592e84b9e4b092b266f10d30","contributors":{"authors":[{"text":"Tredennick, Andrew T.","contributorId":152688,"corporation":false,"usgs":false,"family":"Tredennick","given":"Andrew","email":"","middleInitial":"T.","affiliations":[{"id":18962,"text":"Dept. of Wildland Resources and the Ecology Center, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":696411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":696382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":696412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kleinhesselink, Andrew R.","contributorId":192387,"corporation":false,"usgs":false,"family":"Kleinhesselink","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":696414,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adler, Peter B.","contributorId":64789,"corporation":false,"usgs":false,"family":"Adler","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":696415,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189513,"text":"70189513 - 2016 - Estimating mercury emissions resulting from wildfire in forests of the Western United States","interactions":[],"lastModifiedDate":"2018-08-07T12:28:27","indexId":"70189513","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5331,"text":"Science of Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Estimating mercury emissions resulting from wildfire in forests of the Western United States","docAbstract":"Understanding the emissions of mercury (Hg) from wildfires is important for quantifying the global atmospheric Hg sources. Emissions of Hg from soils resulting from wildfires in the Western United States was estimated for the 2000 to 2013 period, and the potential emission of Hg from forest soils was assessed as a function of forest type and soil-heating. Wildfire released an annual average of 3100 ± 1900 kg-Hg y− 1 for the years spanning 2000–2013 in the 11 states within the study area. This estimate is nearly 5-fold lower than previous estimates for the study region. Lower emission estimates are attributed to an inclusion of fire severity within burn perimeters. Within reported wildfire perimeters, the average distribution of low, moderate, and high severity burns was 52, 29, and 19% of the total area, respectively. Review of literature data suggests that that low severity burning does not result in soil heating, moderate severity fire results in shallow soil heating, and high severity fire results in relatively deep soil heating (< 5 cm). Using this approach, emission factors for high severity burns ranged from 58 to 640 μg-Hg kg-fuel− 1. In contrast, low severity burns have emission factors that are estimated to be only 18–34 μg-Hg kg-fuel− 1. In this estimate, wildfire is predicted to release 1–30 g Hg ha− 1 from Western United States forest soils while above ground fuels are projected to contribute an additional 0.9 to 7.8 g Hg ha− 1. Land cover types with low biomass (desert scrub) are projected to release less than 1 g Hg ha− 1. Following soil sources, fuel source contributions to total Hg emissions generally followed the order of duff > wood > foliage > litter > branches.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.01.166","usgsCitation":"Webster, J., Kane, T., Obrist, D., Ryan, J.N., and Aiken, G.R., 2016, Estimating mercury emissions resulting from wildfire in forests of the Western United States: Science of Total Environment, v. 568, p. 578-586, https://doi.org/10.1016/j.scitotenv.2016.01.166.","productDescription":"9 p.","startPage":"578","endPage":"586","ipdsId":"IP-071233","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":470596,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.01.166","text":"Publisher Index Page"},{"id":343855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"568","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5969d82be4b0d1f9f060a188","contributors":{"authors":[{"text":"Webster, Jackson","contributorId":172157,"corporation":false,"usgs":false,"family":"Webster","given":"Jackson","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":704982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kane, Tyler J. 0000-0003-2511-7312","orcid":"https://orcid.org/0000-0003-2511-7312","contributorId":194675,"corporation":false,"usgs":false,"family":"Kane","given":"Tyler J.","affiliations":[],"preferred":false,"id":704983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Obrist, Daniel","contributorId":172155,"corporation":false,"usgs":false,"family":"Obrist","given":"Daniel","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":704984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":704985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704986,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192733,"text":"70192733 - 2016 - Consequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada","interactions":[],"lastModifiedDate":"2017-11-08T13:14:53","indexId":"70192733","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada","docAbstract":"Changes in vegetation and snow cover may lead to feedbacks to climate through changes in surface albedo and energy fluxes between the land and atmosphere. In addition to these biogeophysical feedbacks, biogeochemical feedbacks associated with changes in carbon (C) storage in the vegetation and soils may also influence climate. Here, using a transient biogeographic model (ALFRESCO) and an ecosystem model (DOS-TEM), we quantified the biogeophysical feedbacks due to changes in vegetation and snow cover across continuous permafrost to non-permafrost ecosystems in Alaska and northwest Canada. We also computed the changes in carbon storage in this region to provide a general assessment of the direction of the biogeochemical feedback. We considered four ecoregions, or Landscape Conservations Cooperatives (LCCs; including the Arctic, North Pacific, Western Alaska, and Northwest Boreal). We examined the 90 year period from 2010 to 2099 using one future emission scenario (A1B), under outputs from two general circulation models (MPI-ECHAM5 and CCCMA-CGCM3.1). We found that changes in snow cover duration, including both the timing of snowmelt in the spring and snow return in the fall, provided the dominant positive biogeophysical feedback to climate across all LCCs, and was greater for the ECHAM (+3.1 W m−2 decade−1regionally) compared to the CCCMA (+1.3 W m−2 decade−1 regionally) scenario due to an increase in loss of snow cover in the ECHAM scenario. The greatest overall negative feedback to climate from changes in vegetation cover was due to fire in spruce forests in the Northwest Boreal LCC and fire in shrub tundra in the Western LCC (−0.2 to −0.3 W m−2 decade−1). With the larger positive feedbacks associated with reductions in snow cover compared to the smaller negative feedbacks associated with shifts in vegetation, the feedback to climate warming was positive (total feedback of +2.7 W m−2decade regionally in the ECHAM scenario compared to +0.76 W m−2 decade regionally in the CCCMA scenario). Overall, increases in C storage in the vegetation and soils across the study region would act as a negative feedback to climate. By exploring these feedbacks to climate, we can reach a more integrated understanding of the manner in which climate change may impact interactions between high-latitude ecosystems and the global climate system.
","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/11/10/105003","usgsCitation":"Euskirchen, E., Bennett, A.P., Breen, A.L., Genet, H., Lindgren, M.A., Kurkowski, T., McGuire, A.D., and Rupp, T., 2016, Consequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada: Environmental Research Letters, v. 11, p. 1-19, https://doi.org/10.1088/1748-9326/11/10/105003.","productDescription":"Article 105003; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-075009","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470523,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/11/10/105003","text":"Publisher Index Page"},{"id":348455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -179.560546875,\n 50.958426723359935\n ],\n [\n -125.20019531249999,\n 50.958426723359935\n ],\n [\n -125.20019531249999,\n 71.38514208411495\n ],\n [\n -179.560546875,\n 71.38514208411495\n ],\n [\n -179.560546875,\n 50.958426723359935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-03","publicationStatus":"PW","scienceBaseUri":"5a0425bee4b0dc0b45b453e7","contributors":{"authors":[{"text":"Euskirchen, Eugénie S.","contributorId":83378,"corporation":false,"usgs":false,"family":"Euskirchen","given":"Eugénie S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":721167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, A. P.","contributorId":200154,"corporation":false,"usgs":false,"family":"Bennett","given":"A.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":721168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breen, Amy L.","contributorId":81396,"corporation":false,"usgs":true,"family":"Breen","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Genet, Helene","contributorId":95370,"corporation":false,"usgs":true,"family":"Genet","given":"Helene","affiliations":[],"preferred":false,"id":721170,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindgren, Michael A.","contributorId":33237,"corporation":false,"usgs":true,"family":"Lindgren","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kurkowski, Tom","contributorId":198681,"corporation":false,"usgs":false,"family":"Kurkowski","given":"Tom","affiliations":[],"preferred":false,"id":721172,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716792,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rupp, T. Scott","contributorId":21395,"corporation":false,"usgs":true,"family":"Rupp","given":"T. Scott","affiliations":[],"preferred":false,"id":721173,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192639,"text":"70192639 - 2016 - The extra mile: Ungulate migration distance alters the use of seasonal range and exposure to anthropogenic risk","interactions":[],"lastModifiedDate":"2017-11-08T15:55:53","indexId":"70192639","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The extra mile: Ungulate migration distance alters the use of seasonal range and exposure to anthropogenic risk","docAbstract":"Partial migration occurs across a variety of taxa and has important ecological and evolutionary consequences. Among ungulates, studies of partially migratory populations have allowed researchers to compare and contrast performance metrics of migrants versus residents and examine how environmental factors influence the relative abundance of each. Such studies tend to characterize animals discretely as either migratory or resident, but we suggest that variable migration distances within migratory herds are an important and overlooked form of population structure, with potential consequences for animal fitness. We examined whether the variation in individual migration distances (20–264 km) within a single wintering population of mule deer (Odocoileus hemionus) was associated with several critical behavioral attributes of migration, including timing of migration, time allocation to seasonal ranges, and exposure to anthropogenic mortality risks. Both the timing of migration and the amount of time animals allocated to seasonal ranges varied with migration distance. Animals migrating long distances (150–250 km) initiated spring migration more than three weeks before than those migrating moderate (50–150 km) or short distances (<50 km). Across an entire year, long-distance migrants spent approximately 100 more days migrating compared to moderate- and short-distance migrants. Relatedly, winter residency of long-distance migrants was 71 d fewer than for animals migrating shorter distances. Exposure to anthropogenic mortality factors, including highways and fences, was high for long-distance migrants, whereas vulnerability to harvest was high for short- and moderate-distance migrants. By reducing the amount of time that animals spend on winter range, long-distance migration may alleviate intraspecific competition for limited forage and effectively increase carrying capacity. Clear differences in winter residency, migration duration, and risk of anthropogenic mortality among short-, moderate-, and long-distance migrants suggest fitness trade-offs may exist among migratory segments of the population. Future studies of partial migration may benefit from expanding comparisons of residents and migrants, to consider how variable migration distances of migrants may influence the costs and benefits of migration.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1534","usgsCitation":"Sawyer, H., Middleton, A., Hayes, M.M., Kauffman, M., and Monteith, K.L., 2016, The extra mile: Ungulate migration distance alters the use of seasonal range and exposure to anthropogenic risk: Ecosphere, v. 7, no. 10, p. 1-11, https://doi.org/10.1002/ecs2.1534.","productDescription":"e01534; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-073382","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1534","text":"Publisher Index Page"},{"id":348515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.841064453125,\n 41.5579215778042\n ],\n [\n -108.63830566406249,\n 41.5579215778042\n ],\n [\n -108.63830566406249,\n 43.46886761482925\n ],\n [\n -110.841064453125,\n 43.46886761482925\n ],\n [\n -110.841064453125,\n 41.5579215778042\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-24","publicationStatus":"PW","scienceBaseUri":"5a0425bfe4b0dc0b45b453f0","contributors":{"authors":[{"text":"Sawyer, Hall","contributorId":39930,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[],"preferred":false,"id":716619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Arthur D.","contributorId":99440,"corporation":false,"usgs":true,"family":"Middleton","given":"Arthur D.","affiliations":[],"preferred":false,"id":716620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Matthew M.","contributorId":172344,"corporation":false,"usgs":false,"family":"Hayes","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":716621,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":716618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monteith, Kevin L.","contributorId":198656,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":716622,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192358,"text":"70192358 - 2016 - Book review: Foundations of wildlife diseases","interactions":[],"lastModifiedDate":"2017-10-25T10:33:08","indexId":"70192358","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Foundations of wildlife diseases","docAbstract":"A new textbook for practitioners and students of wildlife disease is available. Rick Botzler and Richard Brown have provided an excellent addition to the wildlife disease literature with Foundations of Wildlife Diseases. It has been 8 years since the last major wildlife disease book (Wobeser 2006), and over 40 years since the first major wildlife disease compilation (Page 1975), an edited summary of the 3rd International Wildlife Disease meeting in Munich, Germany. Many people interested in wildlife diseases have waited eagerly for this book, and they will not be disappointed.
Book information: Foundations of Wildlife Diseases. By Richard G. Botzler and Richard N. Brown. University of California Press, Oakland, California, USA. 2014. 429 pp., viii preface material. ISBN: 9780520276093.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/0090-3558-52.4.976","usgsCitation":"van Riper, C., 2016, Book review: Foundations of wildlife diseases: Journal of Wildlife Diseases, v. 52, no. 4, p. 976-979, https://doi.org/10.7589/0090-3558-52.4.976.","productDescription":"4 p.","startPage":"976","endPage":"979","ipdsId":"IP-072993","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":347319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a7e4b0220bbd9d9f77","contributors":{"authors":[{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":715510,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192667,"text":"70192667 - 2016 - Use of Atlantic Forest protected areas by free-ranging dogs: estimating abundance and persistence of use","interactions":[],"lastModifiedDate":"2017-11-08T15:24:54","indexId":"70192667","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Use of Atlantic Forest protected areas by free-ranging dogs: estimating abundance and persistence of use","docAbstract":"Worldwide, domestic dogs (Canis familiaris) are one of the most common carnivoran species in natural areas and their populations are still increasing. Dogs have been shown to impact wildlife populations negatively, and their occurrence can alter the abundance, behavior, and activity patterns of native species. However, little is known about abundance and density of the free-ranging dogs that use protected areas. Here, we used camera trap data with an open-robust design mark–recapture model to estimate the number of dogs that used protected areas in Brazilian Atlantic Forest. We estimated the time period these dogs used the protected areas, and explored factors that influenced the probability of continued use (e.g., season, mammal richness, proportion of forest), while accounting for variation in detection probability. Dogs in the studied system were categorized as rural free-ranging, and their abundance varied widely across protected areas (0–73 individuals). Dogs used protected areas near human houses for longer periods (e.g., >50% of sampling occasions) compared to more distant areas. We found no evidence that their probability of continued use varied with season or mammal richness. Dog detection probability decreased linearly among occasions, possibly due to the owners confining their dogs after becoming aware of our presence. Comparing our estimates to those for native carnivoran, we found that dogs were three to 85 times more abundant than ocelots (Leopardus pardalis), two to 25 times more abundant than puma (Puma concolor), and approximately five times more abundant than the crab-eating fox (Cerdocyon thous). Combining camera trapping data with modern mark–recapture methods provides important demographic information on free-ranging dogs that can guide management strategies to directly control dogs' abundance and ranging behavior.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1480","usgsCitation":"Paschoal, A.M., Massara, R., Bailey, L.L., Kendall, W., Doherty, P.F., Hirsch, A., Chiarello, A., and Paglia, A., 2016, Use of Atlantic Forest protected areas by free-ranging dogs: estimating abundance and persistence of use: Ecosphere, v. 7, no. 10, p. 1-15, https://doi.org/10.1002/ecs2.1480.","productDescription":"e01480; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-071412","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1480","text":"Publisher Index Page"},{"id":348493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -43,\n -21\n ],\n [\n -41,\n -21\n ],\n [\n -41,\n -19\n ],\n [\n -43,\n -19\n ],\n [\n -43,\n -21\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"5a0425bfe4b0dc0b45b453ed","contributors":{"authors":[{"text":"Paschoal, Ana Maria","contributorId":198658,"corporation":false,"usgs":false,"family":"Paschoal","given":"Ana","email":"","middleInitial":"Maria","affiliations":[],"preferred":false,"id":716680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massara, Rodrigo","contributorId":198659,"corporation":false,"usgs":false,"family":"Massara","given":"Rodrigo","email":"","affiliations":[],"preferred":false,"id":716681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Larissa L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":189578,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":716682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doherty, Paul F. Jr.","contributorId":37636,"corporation":false,"usgs":false,"family":"Doherty","given":"Paul","suffix":"Jr.","email":"","middleInitial":"F.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":716683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hirsch, Andre","contributorId":198661,"corporation":false,"usgs":false,"family":"Hirsch","given":"Andre","email":"","affiliations":[],"preferred":false,"id":716684,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chiarello, Adriano","contributorId":198662,"corporation":false,"usgs":false,"family":"Chiarello","given":"Adriano","email":"","affiliations":[],"preferred":false,"id":716685,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paglia, Adriano","contributorId":198663,"corporation":false,"usgs":false,"family":"Paglia","given":"Adriano","email":"","affiliations":[],"preferred":false,"id":716686,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70194117,"text":"70194117 - 2016 - Using smooth sheets to describe groundfish habitat in Alaskan waters, with specific application to two flatfishes","interactions":[],"lastModifiedDate":"2017-11-16T14:21:14","indexId":"70194117","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5536,"text":"Deep Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Using smooth sheets to describe groundfish habitat in Alaskan waters, with specific application to two flatfishes","docAbstract":"In this analysis we demonstrate how preferred fish habitat can be predicted and mapped for juveniles of two Alaskan groundfish species – Pacific halibut (Hippoglossus stenolepis) and flathead sole (Hippoglossoides elassodon) – at five sites (Kiliuda Bay, Izhut Bay, Port Dick, Aialik Bay, and the Barren Islands) in the central Gulf of Alaska. The method involves using geographic information system (GIS) software to extract appropriate information from National Ocean Service (NOS) smooth sheets that are available from NGDC (the National Geophysical Data Center). These smooth sheets are highly detailed charts that include more soundings, substrates, shoreline and feature information than the more commonly-known navigational charts. By bringing the information from smooth sheets into a GIS, a variety of surfaces, such as depth, slope, rugosity and mean grain size were interpolated into raster surfaces. Other measurements such as site openness, shoreline length, proportion of bay that is near shore, areas of rocky reefs and kelp beds, water volumes, surface areas and vertical cross-sections were also made in order to quantify differences between the study sites. Proper GIS processing also allows linking the smooth sheets to other data sets, such as orthographic satellite photographs, topographic maps and precipitation estimates from which watersheds and runoff can be derived. This same methodology can be applied to larger areas, taking advantage of these free data sets to describe predicted groundfish essential fish habitat (EFH) in Alaskan waters.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2015.02.020","usgsCitation":"Zimmermann, M., Reid, J.A., and Golden, N.E., 2016, Using smooth sheets to describe groundfish habitat in Alaskan waters, with specific application to two flatfishes: Deep Sea Research Part II: Topical Studies in Oceanography, v. 132, p. 210-226, https://doi.org/10.1016/j.dsr2.2015.02.020.","productDescription":"17 p.","startPage":"210","endPage":"226","ipdsId":"IP-064195","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470522,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2015.02.020","text":"Publisher Index Page"},{"id":349014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156,\n 56.5\n ],\n [\n -148,\n 56.5\n ],\n [\n -148,\n 60\n ],\n [\n -156,\n 60\n ],\n [\n -156,\n 56.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"132","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fcb7e4b06e28e9c24160","contributors":{"authors":[{"text":"Zimmermann, Mark 0000-0002-5786-3814","orcid":"https://orcid.org/0000-0002-5786-3814","contributorId":200380,"corporation":false,"usgs":false,"family":"Zimmermann","given":"Mark","email":"","affiliations":[],"preferred":false,"id":722135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Jane A. 0000-0003-1771-3894 jareid@usgs.gov","orcid":"https://orcid.org/0000-0003-1771-3894","contributorId":2826,"corporation":false,"usgs":true,"family":"Reid","given":"Jane","email":"jareid@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":722134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Golden, Nadine E. 0000-0001-6007-6486 ngolden@usgs.gov","orcid":"https://orcid.org/0000-0001-6007-6486","contributorId":146220,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine","email":"ngolden@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":722136,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193723,"text":"70193723 - 2016 - Magma decompression rates during explosive eruptions of Kīlauea volcano, Hawaii, recorded by melt embayments","interactions":[],"lastModifiedDate":"2017-11-03T18:01:31","indexId":"70193723","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","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":"Magma decompression rates during explosive eruptions of Kīlauea volcano, Hawaii, recorded by melt embayments","docAbstract":"The decompression rate of magma as it ascends during volcanic eruptions is an important but poorly constrained parameter that controls many of the processes that influence eruptive behavior. In this study, we quantify decompression rates for basaltic magmas using volatile diffusion in olivine-hosted melt tubes (embayments) for three contrasting eruptions of Kīlauea volcano, Hawaii. Incomplete exsolution of H2O, CO2, and S from the embayment melts during eruptive ascent creates diffusion profiles that can be measured using microanalytical techniques, and then modeled to infer the average decompression rate. We obtain average rates of ~0.05–0.45 MPa s−1 for eruptions ranging from Hawaiian style fountains to basaltic subplinian, with the more intense eruptions having higher rates. The ascent timescales for these magmas vary from around ~5 to ~36 min from depths of ~2 to ~4 km, respectively. Decompression-exsolution models based on the embayment data also allow for an estimate of the mass fraction of pre-existing exsolved volatiles within the magma body. In the eruptions studied, this varies from 0.1 to 3.2 wt% but does not appear to be the key control on eruptive intensity. Our results do not support a direct link between the concentration of pre-eruptive volatiles and eruptive intensity; rather, they suggest that for these eruptions, decompression rates are proportional to independent estimates of mass discharge rate. Although the intensity of eruptions is defined by the discharge rate, based on the currently available dataset of embayment analyses, it does not appear to scale linearly with average decompression rate. This study demonstrates the utility of the embayment method for providing quantitative constraints on magma ascent during explosive basaltic eruptions.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-016-1064-x","usgsCitation":"Ferguson, D.J., Gonnermann, H.M., Ruprecht, P., Plank, T., Hauri, E.H., Houghton, B.F., and Swanson, D., 2016, Magma decompression rates during explosive eruptions of Kīlauea volcano, Hawaii, recorded by melt embayments: Bulletin of Volcanology, v. 78, no. 10, Article 71, https://doi.org/10.1007/s00445-016-1064-x.","productDescription":"Article 71","ipdsId":"IP-058137","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470599,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.whiterose.ac.uk/104505/1/Ferguson%20et%20al%202016.pdf","text":"External Repository"},{"id":348176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","volume":"78","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-22","publicationStatus":"PW","scienceBaseUri":"59fd8029e4b0531197b50144","contributors":{"authors":[{"text":"Ferguson, David J.","contributorId":199795,"corporation":false,"usgs":false,"family":"Ferguson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13619,"text":"Department of Earth & Planetary Sciences, Harvard University, Cambridge, MA","active":true,"usgs":false},{"id":35453,"text":"University of Leeds, UK","active":true,"usgs":false},{"id":7135,"text":"Lamont Doherty Earth Observatory, Columbia University, Palisades, NY","active":true,"usgs":false}],"preferred":false,"id":720065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonnermann, Helge M.","contributorId":48465,"corporation":false,"usgs":false,"family":"Gonnermann","given":"Helge","email":"","middleInitial":"M.","affiliations":[{"id":35613,"text":"Department of Earth Science, Rice University, Houston, TX 77005","active":true,"usgs":false}],"preferred":false,"id":720139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruprecht, Philipp","contributorId":199796,"corporation":false,"usgs":false,"family":"Ruprecht","given":"Philipp","email":"","affiliations":[{"id":7135,"text":"Lamont Doherty Earth Observatory, Columbia University, Palisades, NY","active":true,"usgs":false},{"id":35453,"text":"University of Leeds, UK","active":true,"usgs":false}],"preferred":false,"id":720140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plank, Terry","contributorId":16743,"corporation":false,"usgs":false,"family":"Plank","given":"Terry","affiliations":[{"id":7135,"text":"Lamont Doherty Earth Observatory, Columbia University, Palisades, NY","active":true,"usgs":false}],"preferred":false,"id":720141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hauri, Erik H.","contributorId":199798,"corporation":false,"usgs":false,"family":"Hauri","given":"Erik","email":"","middleInitial":"H.","affiliations":[{"id":35612,"text":"Department of Terrestrial Magnetism, Carnegie Institution of Washington, Washington DC 20015","active":true,"usgs":false}],"preferred":false,"id":720142,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":720143,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swanson, Donald A. donswan@usgs.gov","contributorId":149804,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":720144,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193668,"text":"70193668 - 2016 - Combining landscape variables and species traits can improve the utility of climate change vulnerability assessments","interactions":[],"lastModifiedDate":"2017-11-13T14:18:21","indexId":"70193668","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Combining landscape variables and species traits can improve the utility of climate change vulnerability assessments","docAbstract":"Conservation organizations worldwide are investing in climate change vulnerability assessments. Most vulnerability assessment methods focus on either landscape features or species traits that can affect a species vulnerability to climate change. However, landscape features and species traits likely interact to affect vulnerability. We compare a landscape-based assessment, a trait-based assessment, and an assessment that combines landscape variables and species traits for 113 species of birds, herpetofauna, and mammals in the northeastern United States. Our aim is to better understand which species traits and landscape variables have the largest influence on assessment results and which types of vulnerability assessments are most useful for different objectives. Species traits were most important for determining which species will be most vulnerable to climate change. The sensitivity of species to dispersal barriers and the species average natal dispersal distance were the most important traits. Landscape features were most important for determining where species will be most vulnerable because species were most vulnerable in areas where multiple landscape features combined to increase vulnerability, regardless of species traits. The interaction between landscape variables and species traits was important when determining how to reduce climate change vulnerability. For example, an assessment that combines information on landscape connectivity, climate change velocity, and natal dispersal distance suggests that increasing landscape connectivity may not reduce the vulnerability of many species. Assessments that include landscape features and species traits will likely be most useful in guiding conservation under climate change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.07.030","usgsCitation":"Nadeau, C.P., and Fuller, A.K., 2016, Combining landscape variables and species traits can improve the utility of climate change vulnerability assessments: Biological Conservation, v. 202, p. 30-38, https://doi.org/10.1016/j.biocon.2016.07.030.","productDescription":"9 p.","startPage":"30","endPage":"38","ipdsId":"IP-060118","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.70556640625,\n 37.996162679728116\n ],\n [\n -66.70898437499999,\n 37.996162679728116\n ],\n [\n -66.70898437499999,\n 47.68018294648414\n ],\n [\n -80.70556640625,\n 47.68018294648414\n ],\n [\n -80.70556640625,\n 37.996162679728116\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"202","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fcb7e4b06e28e9c24166","contributors":{"authors":[{"text":"Nadeau, Christopher P.","contributorId":105956,"corporation":false,"usgs":true,"family":"Nadeau","given":"Christopher","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":721844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719842,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193041,"text":"70193041 - 2016 - Comparative use of side and main channels by small-bodied fish in a large, unimpounded river","interactions":[],"lastModifiedDate":"2017-11-06T16:39:50","indexId":"70193041","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Comparative use of side and main channels by small-bodied fish in a large, unimpounded river","docAbstract":"We represent several generations of biology educators – with teaching experiences beginning in the 1940s and continuing to the present, from elementary school to graduate-level programs. We find the vast array of subjects that biology teachers can now cover both thrilling and mind-boggling. Depending on the grade level, units exist that focus on neurobiology, forensics, DNA analysis, biotechnology, marine biology, and a host of other topics.
Although science teachers cover a potpourri of advanced topics, we must ask ourselves – no matter our biology-teaching responsibilities – how well we are teaching carrying capacity, one of the most fundamental biological concepts for our society, knowledge of which becomes more important every day. As biology teachers, most of you know that carrying capacity is defined as the maximum population an environment can sustain, given the amounts of food, habitat, and other resources available. Every environment – from your goldfish bowl to the local forest to planet Earth – can only sustain a set number (weight) of a particular species, based on available resources and space. Currently, most science classes teach …
","language":"English","publisher":"National Association of Biology Teachers","doi":"10.1525/abt.2016.78.8.623","usgsCitation":"Bonar, S.A., Fife, D.A., and Bonar, J.S., 2016, How well are you teaching one of the most important biological concepts for humankind? A call to action: The American Biology Teacher, v. 78, no. 8, p. 623-623, https://doi.org/10.1525/abt.2016.78.8.623.","productDescription":"1 p.","startPage":"623","endPage":"623","ipdsId":"IP-066233","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e9c5e4b09af898c8cc4f","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fife, Deanna A.","contributorId":198571,"corporation":false,"usgs":false,"family":"Fife","given":"Deanna","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonar, John S.","contributorId":198572,"corporation":false,"usgs":false,"family":"Bonar","given":"John","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":716427,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193662,"text":"70193662 - 2016 - Results of the eruptive column model inter-comparison study","interactions":[],"lastModifiedDate":"2017-11-02T15:20:02","indexId":"70193662","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Results of the eruptive column model inter-comparison study","docAbstract":"This study compares and evaluates one-dimensional (1D) and three-dimensional (3D) numerical models of volcanic eruption columns in a set of different inter-comparison exercises. The exercises were designed as a blind test in which a set of common input parameters was given for two reference eruptions, representing a strong and a weak eruption column under different meteorological conditions. Comparing the results of the different models allows us to evaluate their capabilities and target areas for future improvement. Despite their different formulations, the 1D and 3D models provide reasonably consistent predictions of some of the key global descriptors of the volcanic plumes. Variability in plume height, estimated from the standard deviation of model predictions, is within ~ 20% for the weak plume and ~ 10% for the strong plume. Predictions of neutral buoyancy level are also in reasonably good agreement among the different models, with a standard deviation ranging from 9 to 19% (the latter for the weak plume in a windy atmosphere). Overall, these discrepancies are in the range of observational uncertainty of column height. However, there are important differences amongst models in terms of local properties along the plume axis, particularly for the strong plume. Our analysis suggests that the simplified treatment of entrainment in 1D models is adequate to resolve the general behaviour of the weak plume. However, it is inadequate to capture complex features of the strong plume, such as large vortices, partial column collapse, or gravitational fountaining that strongly enhance entrainment in the lower atmosphere. We conclude that there is a need to more accurately quantify entrainment rates, improve the representation of plume radius, and incorporate the effects of column instability in future versions of 1D volcanic plume models.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2016.01.017","usgsCitation":"Costa, A., Suzuki, Y., Cerminara, M., Devenish, B.J., Esposti Ongaro, T., Herzog, M., Van Eaton, A.R., Denby, L., Bursik, M., de’ Michieli Vitturi, M., Engwell, S., Neri, A., Barsotti, S., Folch, A., Macedonio, G., Girault, F., Carazzo, G., Tait, S., Kaminski, E., Mastin, L.G., Woodhouse, M.J., Phillips, J.C., Hogg, A.J., Degruyter, W., and Bonadonna, C., 2016, Results of the eruptive column model inter-comparison study: Journal of Volcanology and Geothermal Research, v. 326, p. 2-25, https://doi.org/10.1016/j.jvolgeores.2016.01.017.","productDescription":"24 p.","startPage":"2","endPage":"25","ipdsId":"IP-069305","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470520,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://hdl.handle.net/1983/31590258-99a4-4b9c-bdff-db520c226a79","text":"Publisher Index 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J.","contributorId":199718,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":719824,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Phillips, Jeremy C.","contributorId":199719,"corporation":false,"usgs":false,"family":"Phillips","given":"Jeremy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":719825,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Hogg, Andrew J.","contributorId":199720,"corporation":false,"usgs":false,"family":"Hogg","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":719826,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Degruyter, Wim","contributorId":145532,"corporation":false,"usgs":false,"family":"Degruyter","given":"Wim","email":"","affiliations":[{"id":6609,"text":"UC 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steelhead (Oncorhynchus mykiss) smolts from two coastal Oregon rivers","title":"Sex-biased survivorship and differences in migration of wild steelhead (Oncorhynchus mykiss) smolts from two coastal Oregon rivers","docAbstract":"In salmonids with partial migration, females are more likely than males to undergo smoltification and migrate to the ocean (vs. maturing in freshwater). However, it is not known whether sex affects survivorship during smolt migration (from fresh water to entry into the ocean). We captured wild steelhead (Oncorhynchus mykiss) smolts in two coastal Oregon rivers (USA) and collected fin tissue samples for genetic sex determination (2009; N = 70 in the Alsea and N = 69 in the Nehalem, 2010; N = 25 in the Alsea). We implanted acoustic tags and monitored downstream migration and survival until entry in to the Pacific Ocean. Survival was defined as detection at an estuary/ocean transition array. We found no effect of sex on smolt survivorship in the Nehalem River in 2009, or in the Alsea River in 2010. However, males exhibited significantly lower survival than females in the Alsea River during 2009. Residency did not influence this result as an equal proportion of males and females did not reach the estuary entrance (11% of males, 9% of females). The sexes did not differ in timing or duration of migration, so those variables seem unlikely to explain sex-biased survivorship. Larger males had higher odds of survival than smaller males in 2009, but the body size of females did not affect survivorship. The difference in survivorship between years in the Alsea River could be due to flow conditions, which were higher in 2010 than in 2009. Our findings suggest that sex may affect steelhead smolt survival during migration, but that the difference in survivorship may be weak and not a strong factor influencing adult sex ratios.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12242","usgsCitation":"Thompson, N.F., Leblanc, C.A., Romer, J.D., Schreck, C.B., Blouin, M.S., and Noakes, D.L., 2016, Sex-biased survivorship and differences in migration of wild steelhead (Oncorhynchus mykiss) smolts from two coastal Oregon rivers: Ecology of Freshwater Fish, v. 25, no. 4, p. 642-651, https://doi.org/10.1111/eff.12242.","productDescription":"10 p.","startPage":"642","endPage":"651","ipdsId":"IP-064960","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Alsea River, Nehalem River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.958740234375,\n 45.64524825291491\n ],\n [\n -123.59001159667969,\n 45.64524825291491\n ],\n [\n -123.59001159667969,\n 45.8536734968093\n ],\n [\n -123.958740234375,\n 45.8536734968093\n ],\n [\n -123.958740234375,\n 45.64524825291491\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.08782958984375,\n 44.321391883338244\n ],\n [\n -123.69438171386719,\n 44.321391883338244\n ],\n [\n -123.69438171386719,\n 44.46809119658819\n ],\n [\n -124.08782958984375,\n 44.46809119658819\n ],\n [\n -124.08782958984375,\n 44.321391883338244\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-07","publicationStatus":"PW","scienceBaseUri":"5a07e9c5e4b09af898c8cc4d","contributors":{"authors":[{"text":"Thompson, Neil F.","contributorId":171758,"corporation":false,"usgs":false,"family":"Thompson","given":"Neil","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":720932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leblanc, Camille A.","contributorId":200088,"corporation":false,"usgs":false,"family":"Leblanc","given":"Camille","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romer, Jeremy D.","contributorId":171684,"corporation":false,"usgs":false,"family":"Romer","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":720934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blouin, Michael S.","contributorId":171760,"corporation":false,"usgs":false,"family":"Blouin","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":720935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noakes, David L. 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G.","affiliations":[],"preferred":false,"id":720936,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70194549,"text":"70194549 - 2016 - Climate change and indigenous peoples: A synthesis of current impacts and experiences","interactions":[],"lastModifiedDate":"2017-12-15T11:06:35","indexId":"70194549","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"PNW-GTR-944","title":"Climate change and indigenous peoples: A synthesis of current impacts and experiences","docAbstract":"A growing body of literature examines the vulnerability, risk, resilience, and adaptation of indigenous peoples to climate change. This synthesis of literature brings together research pertaining to the impacts of climate change on sovereignty, culture, health, and economies that are currently being experienced by Alaska Native and American Indian tribes and other indigenous communities in the United States. The knowledge and science of how climate change impacts are affecting indigenous peoples contributes to the development of policies, plans, and programs for adapting to climate change and reducing greenhouse gas emissions. This report defines and describes the key frameworks that inform indigenous understandings of climate change impacts and pathways for adaptation and mitigation, namely, tribal sovereignty and self-determination, culture and cultural identity, and indigenous community health indicators. It also provides a comprehensive synthesis of climate knowledge, science, and strategies that indigenous communities are exploring, as well as an understanding of the gaps in research on these issues. This literature synthesis is intended to make a contribution to future efforts such as the 4th National Climate Assessment, while serving as a resource for future research, tribal and agency climate initiatives, and policy development.
","language":"English","publisher":"U.S. Department of Agriculture, Forest Service","usgsCitation":"Norton-Smith, K., Lynn, K., Chief, K., Cozetto, K., Donatuto, J., Hiza, M., Kruger, L., Maldonado, J., Viles, C., and Whyte, K., 2016, Climate change and indigenous peoples: A synthesis of current impacts and experiences: General Technical Report PNW-GTR-944, 136 p.","productDescription":"136 p.","ipdsId":"IP-077840","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":350029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349669,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.fed.us/pnw/pubs/pnw_gtr944.pdf"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fcb7e4b06e28e9c2415d","contributors":{"authors":[{"text":"Norton-Smith, Kathryn","contributorId":201144,"corporation":false,"usgs":false,"family":"Norton-Smith","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":724430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynn, Kathy","contributorId":201145,"corporation":false,"usgs":false,"family":"Lynn","given":"Kathy","email":"","affiliations":[],"preferred":false,"id":724431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chief, Karletta","contributorId":147055,"corporation":false,"usgs":false,"family":"Chief","given":"Karletta","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":724432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cozetto, Karen","contributorId":147057,"corporation":false,"usgs":false,"family":"Cozetto","given":"Karen","email":"","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":724433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Donatuto, Jamie","contributorId":201146,"corporation":false,"usgs":false,"family":"Donatuto","given":"Jamie","email":"","affiliations":[],"preferred":false,"id":724434,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hiza, Margaret 0000-0003-2851-2502 mhiza@usgs.gov","orcid":"https://orcid.org/0000-0003-2851-2502","contributorId":198449,"corporation":false,"usgs":true,"family":"Hiza","given":"Margaret","email":"mhiza@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kruger, Linda","contributorId":168546,"corporation":false,"usgs":false,"family":"Kruger","given":"Linda","email":"","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":724435,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maldonado, Julie","contributorId":168542,"corporation":false,"usgs":false,"family":"Maldonado","given":"Julie","email":"","affiliations":[{"id":25327,"text":"Livelihoods Knowledge Network, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":724436,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Viles, Carson","contributorId":201147,"corporation":false,"usgs":false,"family":"Viles","given":"Carson","email":"","affiliations":[],"preferred":false,"id":724437,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Whyte, Kyle P.","contributorId":168548,"corporation":false,"usgs":false,"family":"Whyte","given":"Kyle P.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":724438,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70191981,"text":"70191981 - 2016 - Efficacy of GPS cluster analysis for predicting carnivory sites of a wide-ranging omnivore: the American black bear","interactions":[],"lastModifiedDate":"2017-10-19T10:50:38","indexId":"70191981","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of GPS cluster analysis for predicting carnivory sites of a wide-ranging omnivore: the American black bear","docAbstract":"The capacity to describe and quantify predation by large carnivores expanded considerably with the advent of GPS technology. Analyzing clusters of GPS locations formed by carnivores facilitates the detection of predation events by identifying characteristics which distinguish predation sites. We present a performance assessment of GPS cluster analysis as applied to the predation and scavenging of an omnivore, the American black bear (Ursus americanus), on ungulate prey and carrion. Through field investigations of 6854 GPS locations from 24 individual bears, we identified 54 sites where black bears formed a cluster of locations while predating or scavenging elk (Cervus elaphus), mule deer (Odocoileus hemionus), or cattle (Bos spp.). We developed models for three data sets to predict whether a GPS cluster was formed at a carnivory site vs. a non-carnivory site (e.g., bed sites or non-ungulate foraging sites). Two full-season data sets contained GPS locations logged at either 3-h or 30-min intervals from April to November, and a third data set contained 30-min interval data from April through July corresponding to the calving period for elk. Longer fix intervals resulted in the detection of fewer carnivory sites. Clusters were more likely to be carnivory sites if they occurred in open or edge habitats, if they occurred in the early season, if the mean distance between all pairs of GPS locations within the cluster was less, and if the cluster endured for a longer period of time. Clusters were less likely to be carnivory sites if they were initiated in the morning or night compared to the day. The top models for each data set performed well and successfully predicted 71–96% of field-verified carnivory events, 55–75% of non–carnivory events, and 58–76% of clusters overall. Refinement of this method will benefit from further application across species and ecological systems.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1513","usgsCitation":"Kindschuh, S.R., Cain, J.W., Daniel, D., and Peyton, M.A., 2016, Efficacy of GPS cluster analysis for predicting carnivory sites of a wide-ranging omnivore: the American black bear: Ecosphere, v. 7, no. 10, p. 1-17, https://doi.org/10.1002/ecs2.1513.","productDescription":"e01513; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-074517","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470521,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1513","text":"Publisher Index Page"},{"id":346948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.93954467773438,\n 35.53781387714839\n ],\n [\n -106.39434814453125,\n 35.53781387714839\n ],\n [\n -106.39434814453125,\n 35.99578538642032\n ],\n [\n -106.93954467773438,\n 35.99578538642032\n ],\n [\n -106.93954467773438,\n 35.53781387714839\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-19","publicationStatus":"PW","scienceBaseUri":"59e9b997e4b05fe04cd65ccb","contributors":{"authors":[{"text":"Kindschuh, Sarah R.","contributorId":197601,"corporation":false,"usgs":false,"family":"Kindschuh","given":"Sarah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":713887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniel, David","contributorId":197602,"corporation":false,"usgs":false,"family":"Daniel","given":"David","email":"","affiliations":[],"preferred":false,"id":713888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peyton, Mark A.","contributorId":197603,"corporation":false,"usgs":false,"family":"Peyton","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713889,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193672,"text":"70193672 - 2016 - Walleye population and fishery responses after elimination of legal harvest on Escanaba Lake, Wisconsin","interactions":[],"lastModifiedDate":"2017-11-13T14:10:32","indexId":"70193672","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Walleye population and fishery responses after elimination of legal harvest on Escanaba Lake, Wisconsin","docAbstract":"Implementing harvest regulations to eliminate or substantially reduce (≥90%) the exploitation of Walleyes Sander vitreus in recreational fisheries may increase population size structure, but these measures also could reduce angler effort because many Walleye anglers are harvest oriented. We analyzed data collected during 1995–2015 to determine whether Walleye population and fishery metrics in Escanaba Lake, Wisconsin, changed after a minimum TL limit of 71 cm with a one-fish daily bag limit was implemented in 2003. This change eliminated the legal harvest of Walleyes after several decades during which annual exploitation averaged 34%. We detected a significant increase in the loge density of adult females after the regulation change, but the loge density of all adults and adult males did not differ between periods. Mean TL of adult males was significantly greater after the regulation change, but the mean TL of females and the proportional size distribution of preferred-length fish (≥51 cm TL) were similar between periods. Sex-specific mean TLs at age 5 did not differ between periods. Loge density of age-0 Walleyes did not change after 2003, but variation in age-0 density was lower. Total angler effort and the effort for anglers targeting Walleyes were significantly lower (35% and 60% declines, respectively) after the regulation change, whereas catch rates for both angler categories did not differ between periods. Our results suggest that implementing highly restrictive regulations that greatly reduce or eliminate legal harvest will not always increase angler catch rates and population size structure. Highly restrictive regulations may also deter anglers from using a fishery when many other fisheries are available. Our findings are useful for fishery managers who may work with anglers holding the belief that lower exploitation is a potential remedy for low Walleye size structure, even when density and growth suggest that there is limited potential for improvement.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1221002","usgsCitation":"Haglund, J.M., Isermann, D.A., and Sass, G., 2016, Walleye population and fishery responses after elimination of legal harvest on Escanaba Lake, Wisconsin: North American Journal of Fisheries Management, v. 36, no. 6, p. 1315-1324, https://doi.org/10.1080/02755947.2016.1221002.","productDescription":"10 p.","startPage":"1315","endPage":"1324","ipdsId":"IP-068947","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Escanaba Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.59681034088135,\n 46.05598993228595\n ],\n [\n -89.57535266876219,\n 46.05598993228595\n ],\n [\n -89.57535266876219,\n 46.07165268566281\n ],\n [\n -89.59681034088135,\n 46.07165268566281\n ],\n [\n -89.59681034088135,\n 46.05598993228595\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-20","publicationStatus":"PW","scienceBaseUri":"5a60fcb7e4b06e28e9c24163","contributors":{"authors":[{"text":"Haglund, Justin M.","contributorId":200302,"corporation":false,"usgs":false,"family":"Haglund","given":"Justin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Greg G.","contributorId":31281,"corporation":false,"usgs":true,"family":"Sass","given":"Greg G.","affiliations":[],"preferred":false,"id":721840,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178310,"text":"70178310 - 2016 - Regional land subsidence caused by the compaction of susceptible aquifer systems accompanying groundwater extraction","interactions":[],"lastModifiedDate":"2019-09-06T11:17:58","indexId":"70178310","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Regional land subsidence caused by the compaction of susceptible aquifer systems accompanying groundwater extraction","docAbstract":"Land subsidence includes both gentle downwarping and sudden sinking of\nsegments of the land surface. Major anthropogenic causes of land subsidence\nare extraction of fluids including water, oil, and gas. Measurement and detec-\ntion of land subsidence include both ground-based and remotely sensed air-\nborne and space-based methods. Methods for measurement of subsidence at\npoints include differential leveling, global positioning system surveys, and\nextensometers. Satellite-borne differential interferometric synthetic aperture\nradar and airborne LiDAR techniques can detect land-surface movement over\nwide areas of interest. Aquifer-system compaction and subsidence owing to\ngroundwater extraction typically occurs in areas of unconsolidated alluvial or\nbasin-fill aquifer systems comprising aquifers and aquitards. Approaches to\nanalyzing and modeling deformation of aquifer systems follow from the basic\nrelations between head, stress, compressibility, and groundwater flow.\nAnalysis and simulation of aquifer-system compaction have been addressed\nprimarily using either an approach based on conventional groundwater flow\ntheory or an approach based on linear poroelasticity theory. Both approaches\nrely on the principle of effective stress outlined by Karl Terzaghi in 1925. In\nthe approach based on conventional groundwater flow theory, an aquitard\ndrainage model explains the compaction of fine grained material using the\nprinciple of effective stress and theory of hydrodynamic lag. Packages for the\nwidely-used MODFLOW groundwater model are available to simulate aqui-\nfer-system compaction and land subsidence using the aquitard-drainage\napproach. Poroelasticity theory describes the more fully coupled processes of\ngroundwater flow and three-dimensional deformation of aquifer systems.\nThe general theory accounts for compressible fluid, porous matrix and solid\ngrains. Simulation codes using the poroelastic theory include some commer-\ncial software products and a few research codes.","largerWorkTitle":"Handbook of applied hydrology","language":"English","publisher":"McGraw-Hill Education","isbn":"9780071835091","usgsCitation":"Galloway, D.L., and Leake, S.A., 2016, Regional land subsidence caused by the compaction of susceptible aquifer systems accompanying groundwater extraction, chap. of Handbook of applied hydrology, p. 56.1-56.11.","productDescription":"11 p.","startPage":"56.1","endPage":"56.11","ipdsId":"IP-066741","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":337768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"2nd","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc744","contributors":{"editors":[{"text":"Singh, Vijay P.","contributorId":176741,"corporation":false,"usgs":false,"family":"Singh","given":"Vijay","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":684832,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Galloway, Devin L. 0000-0003-0904-5355 dlgallow@usgs.gov","orcid":"https://orcid.org/0000-0003-0904-5355","contributorId":679,"corporation":false,"usgs":true,"family":"Galloway","given":"Devin","email":"dlgallow@usgs.gov","middleInitial":"L.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":653592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leake, Stanley A. 0000-0003-3568-2542 saleake@usgs.gov","orcid":"https://orcid.org/0000-0003-3568-2542","contributorId":1846,"corporation":false,"usgs":true,"family":"Leake","given":"Stanley","email":"saleake@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653593,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148486,"text":"70148486 - 2016 - Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean","interactions":[],"lastModifiedDate":"2017-04-03T12:33:05","indexId":"70148486","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean","docAbstract":"Microfaunal and geochemical proxies from marine sediment records from central Arctic Ocean (CAO) submarine ridges suggest a close relationship over the last 550 thousand years (kyr) between orbital-scale climatic oscillations, sea-ice cover, marine biological productivity and other parameters. Multiple paleoclimate proxies record glacial to interglacial cycles. To understand the climate-cryosphere-productivity relationship, we examined the cyclostratigraphy of calcareous microfossils and constructed a composite Arctic Paleoclimate Index (API) \"stack\" from benthic foraminiferal and ostracode density from 14 sediment cores. Following the hypothesis that API is driven mainly by changes in sea-ice related productivity, the API stack shows the Arctic experienced a series of highly productive interglacials and interstadials every ∼20 kyr. These periods signify minimal ice shelf and sea-ice cover and maximum marine productivity. Rapid transitions in productivity are seen during shifts from interglacial to glacial climate states. Discrepancies between the Arctic API curves and various global climatic, sea-level and ice-volume curves suggest abrupt growth and decay of Arctic ice shelves related to climatic and sea level oscillations.
","language":"English","publisher":"Pergamon","publisherLocation":"Elmsford, NY","doi":"10.1016/j.quascirev.2016.07.004","usgsCitation":"Marzen, R., DeNinno, L.H., and Cronin, T.M., 2016, Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean: Quaternary Science Reviews, v. 149, p. 109-121, https://doi.org/10.1016/j.quascirev.2016.07.004.","productDescription":"13 p.","startPage":"109","endPage":"121","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066062","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":339037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -186.15234374999997,\n 71.91088787611527\n ],\n [\n -126.5625,\n 71.91088787611527\n ],\n [\n -126.5625,\n 82.96189798993062\n ],\n [\n -186.15234374999997,\n 82.96189798993062\n ],\n [\n -186.15234374999997,\n 71.91088787611527\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"149","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e35f7fe4b09da67997ecab","contributors":{"authors":[{"text":"Marzen, Rachel rmarzen@usgs.gov","contributorId":141094,"corporation":false,"usgs":true,"family":"Marzen","given":"Rachel","email":"rmarzen@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":548365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeNinno, Lauren H. ldeninno@usgs.gov","contributorId":5312,"corporation":false,"usgs":true,"family":"DeNinno","given":"Lauren","email":"ldeninno@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":548366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":548367,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70182205,"text":"70182205 - 2016 - Evaluating methods to establish habitat suitability criteria: A case study in the upper Delaware River Basin, USA","interactions":[],"lastModifiedDate":"2017-02-21T10:54:23","indexId":"70182205","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating methods to establish habitat suitability criteria: A case study in the upper Delaware River Basin, USA","docAbstract":"Defining habitat suitability criteria (HSC) of aquatic biota can be a key component to environmental flow science. HSC can be developed through numerous methods; however, few studies have evaluated the consistency of HSC developed by different methodologies. We directly compared HSC for depth and velocity developed by the Delphi method (expert opinion) and by two primary literature meta-analyses (literature-derived range and interquartile range) to assess whether these independent methods produce analogous criteria for multiple species (rainbow trout, brown trout, American shad, and shallow fast guild) and life stages. We further evaluated how these two independently developed HSC affect calculations of habitat availability under three alternative reservoir management scenarios in the upper Delaware River at a mesohabitat (main channel, stream margins, and flood plain), reach, and basin scale. In general, literature-derived HSC fell within the range of the Delphi HSC, with highest congruence for velocity habitat. Habitat area predicted using the Delphi HSC fell between the habitat area predicted using two literature-derived HSC, both at the basin and the site scale. Predicted habitat increased in shallow regions (stream margins and flood plain) using literature-derived HSC while Delphi-derived HSC predicted increased channel habitat. HSC generally favoured the same reservoir management scenario; however, no favoured reservoir management scenario was the most common outcome when applying the literature range HSC. The differences found in this study lend insight into how different methodologies can shape HSC and their consequences for predicted habitat and water management decisions. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3025","usgsCitation":"Galbraith, H.S., Blakeslee, C.J., Cole, J.C., Talbert, C., and Maloney, K.O., 2016, Evaluating methods to establish habitat suitability criteria: A case study in the upper Delaware River Basin, USA: River Research and Applications, v. 32, p. 1765-1775, https://doi.org/10.1002/rra.3025.","productDescription":"11 p.","startPage":"1765","endPage":"1775","ipdsId":"IP-066571","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":335869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Pennsylvania","otherGeospatial":"Delaware River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.50354003906249,\n 41.281934557995356\n ],\n [\n -74.0478515625,\n 41.281934557995356\n ],\n [\n -74.0478515625,\n 42.42142901536395\n ],\n [\n -75.50354003906249,\n 42.42142901536395\n ],\n [\n -75.50354003906249,\n 41.281934557995356\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-31","publicationStatus":"PW","scienceBaseUri":"58ad5fc1e4b01ccd54f8b51d","contributors":{"authors":[{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":669978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blakeslee, Carrie J. 0000-0002-0801-5325 cblakeslee@usgs.gov","orcid":"https://orcid.org/0000-0002-0801-5325","contributorId":5462,"corporation":false,"usgs":true,"family":"Blakeslee","given":"Carrie","email":"cblakeslee@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":669979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":669980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbert, Colin 0000-0002-9505-1876 talbertc@usgs.gov","orcid":"https://orcid.org/0000-0002-9505-1876","contributorId":181913,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":669981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":669982,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70184970,"text":"70184970 - 2016 - Influence of glacier runoff on ecosystem structure in Gulf of Alaska fjords","interactions":[],"lastModifiedDate":"2017-03-15T12:05:48","indexId":"70184970","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Influence of glacier runoff on ecosystem structure in Gulf of Alaska fjords","docAbstract":"To better understand the influence of glacier runoff on fjord ecosystems, we sampled oceanographic conditions, nutrients, zooplankton, forage fish and seabirds within 4 fjords in coastal areas of the Gulf Alaska. We used generalized additive models and geostatistics to identify the range of glacier runoff influence into coastal waters within fjords of varying estuarine influence and topographic complexity. We also modeled the response of depth-integrated chlorophyll a concentration, copepod biomass, fish and seabird abundance to physical, nutrient and biotic predictor variables. The effects of glacial runoff were traced at least 10 km into coastal fjords by cold, turbid, stratified and generally nutrient-rich near-surface conditions. Glacially modified physical gradients, nutrient availability and among-fjord differences explained 67% of the variation in phytoplankton abundance, which is a driver of ecosystem structure at higher trophic levels. Copepod, euphausiid, fish and seabird distribution and abundance were related to environmental gradients that could be traced to glacial freshwater input, particularly turbidity and temperature. Seabird density was predicted by prey availability and silicate concentrations, which may be a proxy for upwelling areas where this nutrient is in excess. Similarities in ecosystem structure among fjords were attributable to an influx of cold, fresh and sediment-laden water, whereas differences were likely related to fjord topography and local differences in estuarine vs. ocean influence. We anticipate that continued changes in the timing and volume of glacial runoff will ultimately alter coastal ecosystems in the future.
","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11888","usgsCitation":"Arimitsu, M.L., Piatt, J.F., and Mueter, F.J., 2016, Influence of glacier runoff on ecosystem structure in Gulf of Alaska fjords: Marine Ecology Progress Series, v. 560, p. 19-40, https://doi.org/10.3354/meps11888.","productDescription":"22 p.","startPage":"19","endPage":"40","ipdsId":"IP-066857","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470531,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps11888","text":"Publisher Index Page"},{"id":438542,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PZ57P7","text":"USGS data release","linkHelpText":"Kuskokwim Bay chum salmon (Oncorhynchus keta) energy density, distribution, and stomach data, 2004"},{"id":438541,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K072DR","text":"USGS data release","linkHelpText":"Influence of Glacier Runoff on Ecosystem Structure in Gulf of Alaska Fjords 2004-2011"},{"id":337612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.326171875,\n 57.314657355733274\n ],\n [\n -134.6484375,\n 57.314657355733274\n ],\n [\n -134.6484375,\n 61.52269494598361\n ],\n [\n -149.326171875,\n 61.52269494598361\n ],\n [\n -149.326171875,\n 57.314657355733274\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"560","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52cee4b0849ce97c86ac","contributors":{"authors":[{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":683772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":684475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueter, Franz J.","contributorId":131144,"corporation":false,"usgs":false,"family":"Mueter","given":"Franz","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684476,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70182256,"text":"70182256 - 2016 - The effect of restored and native oxbows on hydraulic loads of nutrients and stream water quality","interactions":[],"lastModifiedDate":"2017-02-23T13:03:09","indexId":"70182256","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"The effect of restored and native oxbows on hydraulic loads of nutrients and stream water quality","docAbstract":"The use of oxbow wetlands has been identified as a potential strategy to reduce nutrient transport from agricultural drainage tiles to streams in Iowa. In 2013 and 2014, a study was conducted in north-central Iowa in a native oxbow in the Lyons Creek watershed and two restored oxbow wetlands in the Prairie Creek watershed (Smeltzer west and Smeltzer east) to assess their effectiveness at reducing nitrogen and phosphorus loads. The tile line inlets carrying agricultural runoff to the oxbows, the outfall from the oxbows, and the surface waters in the streams receiving the outfall water were monitored for discharge and nutrients from February 2013 to September 2015. Smeltzer west and east also had four monitoring wells each, two in the upland and two between the oxbow and Prairie Creek to monitor surface water-groundwater interaction. The Smeltzer west and east oxbow sites also were instrumented to continuously measure the nitrate concentration. Rainfall was measured at one Lyons Creek and one Smeltzer site. Daily mean nitrate-N concentrations in Lyons Creek in 2013 ranged from 11.8 mg/L to 40.9 mg/L, the median daily mean nitrate-N concentration was 33.0 mg/L. Daily mean nitrate-N concentrations in Prairie Creek in 2013 ranged from 0.07 mg/L in August to 32.2 mg/L in June. In 2014, daily mean nitrate-N concentrations in Prairie Creek ranged from 0.17 mg/L in April to 26.7 mg/L in July; the daily mean nitrate-N concentration for the sampled period was 9.78 mg/L. Nutrient load reduction occurred in oxbow wetlands in Lyons and Prairie Creek watersheds in north-central Iowa but efficiency of reduction was variable. Little nutrient reduction occurred in the native Lyons Creek oxbow during 2013. Concentrations of all nutrient constituents were not significantly (P>0.05, Wilcoxon rank sum) different in water discharging from the tile line than in water leaving the Lyons Creek oxbow. A combination of physical features and flow conditions suggest that the residence time of water in the oxbow may not have been sufficient to allow for removal of substantial amounts of nutrients. Approximately 54 percent less nitrate-N was measured leaving the Smeltzer west oxbow than was measured entering from a small 6-inch field tile. The efficiency of nitrate-N removal in the oxbow was not able to be definitively quantified as other hydrologic factors such as overland and groundwater flow into and through the oxbow were not addressed and may provide alternative routes for nutrient transport. Damage to the Smeltzer east oxbow outfall weir prevented analysis of its nutrient load reduction capability. The study provides important information to managers and land owners looking for strategies to reduce nutrient transport from fields. Additional research is needed to understand how increased discharge from larger field tiles and drainage district mains may influence the efficiency of nutrient reduction in relation to the size, type, and landscape setting of a wetland.","language":"English","publisher":"U.S. Environmental Protection Agency","collaboration":"U. S. Environmental Protection Agency ORD, NRMRL, Cincinnati, OH","usgsCitation":"Kalkhoff, S.J., Hubbard, L.E., and P.Schubauer-Berigan, J., 2016, The effect of restored and native oxbows on hydraulic loads of nutrients and stream water quality, xii., 83 p. .","productDescription":"xii., 83 p. ","ipdsId":"IP-077913","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":336108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335923,"type":{"id":15,"text":"Index Page"},"url":"https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100PP42.txt"}],"country":"United States","state":"Iowa ","otherGeospatial":"Lyons Creek, Prairie Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.82083892822266,\n 42.47893393507777\n ],\n [\n -93.81895065307617,\n 42.47830090850463\n ],\n [\n -93.75577926635742,\n 42.47627518043613\n ],\n [\n -93.7114906311035,\n 42.49399807755323\n ],\n [\n -93.71011734008789,\n 42.52196471770537\n ],\n [\n -93.74221801757812,\n 42.522217752342236\n ],\n [\n -93.78650665283203,\n 42.52348291015486\n ],\n [\n -93.82650375366211,\n 42.51791602414797\n ],\n [\n -93.82083892822266,\n 42.47893393507777\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.18819427490234,\n 42.43980086209991\n ],\n [\n -94.21548843383789,\n 42.4417010906216\n ],\n [\n -94.22029495239258,\n 42.38441557693553\n ],\n [\n -94.19540405273438,\n 42.38504955243599\n ],\n [\n -94.14527893066406,\n 42.38555672822687\n ],\n [\n -94.14459228515624,\n 42.39988275145449\n ],\n [\n -94.15197372436523,\n 42.43904075455518\n ],\n [\n -94.18819427490234,\n 42.43980086209991\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b002c6e4b01ccd54fb27cd","contributors":{"authors":[{"text":"Kalkhoff, Stephen J. 0000-0003-4110-1716 sjkalkho@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-1716","contributorId":1731,"corporation":false,"usgs":true,"family":"Kalkhoff","given":"Stephen","email":"sjkalkho@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":670254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":670255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"P.Schubauer-Berigan, Joseph","contributorId":182023,"corporation":false,"usgs":false,"family":"P.Schubauer-Berigan","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":670256,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70182245,"text":"70182245 - 2016 - Species traits and catchment-scale habitat factors influence the occurrence of freshwater mussel populations and assemblages","interactions":[],"lastModifiedDate":"2017-02-22T15:58:24","indexId":"70182245","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Species traits and catchment-scale habitat factors influence the occurrence of freshwater mussel populations and assemblages","docAbstract":"Trends in the peak magnitude, frequency, duration, and volume of frequent floods (floods occurring at an average of two events per year relative to a base period) across the United States show large changes; however, few trends are found to be statistically significant. The multidimensional behavior of flood change across the United States can be described by four distinct groups, with streamgages experiencing (1) minimal change, (2) increasing frequency, (3) decreasing frequency, or (4) increases in all flood properties. Yet group membership shows only weak geographic cohesion. Lack of geographic cohesion is further demonstrated by weak correlations between the temporal patterns of flood change and large-scale climate indices. These findings reveal a complex, fragmented pattern of flood change that, therefore, clouds the ability to make meaningful generalizations about flood change across the United States.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016GL070590","usgsCitation":"Archfield, S.A., Hirsch, R.M., Viglione, A., and Blöschl, G., 2016, Fragmented patterns of flood change across the United States: Geophysical Research Letters, v. 43, no. 19, p. 10232-10239, https://doi.org/10.1002/2016GL070590.","productDescription":"8 p.","startPage":"10232","endPage":"10239","ipdsId":"IP-079542","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470526,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl070590","text":"Publisher Index Page"},{"id":337538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"43","issue":"19","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-09","publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abcd7","contributors":{"authors":[{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":683811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":683812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Viglione, A.","contributorId":189084,"corporation":false,"usgs":false,"family":"Viglione","given":"A.","affiliations":[],"preferred":false,"id":683813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blöschl, G.","contributorId":189085,"corporation":false,"usgs":false,"family":"Blöschl","given":"G.","affiliations":[],"preferred":false,"id":683814,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185057,"text":"70185057 - 2016 - Transformative environmental governance","interactions":[],"lastModifiedDate":"2017-03-13T16:18:40","indexId":"70185057","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5317,"text":"Annual Review of Environment and Resources","active":true,"publicationSubtype":{"id":10}},"title":"Transformative environmental governance","docAbstract":"Transformative governance is an approach to environmental governance that has the capacity to respond to, manage, and trigger regime shifts in coupled social-ecological systems (SESs) at multiple scales. The goal of transformative governance is to actively shift degraded SESs to alternative, more desirable, or more functional regimes by altering the structures and processes that define the system. Transformative governance is rooted in ecological theories to explain cross-scale dynamics in complex systems, as well as social theories of change, innovation, and technological transformation. Similar to adaptive governance, transformative governance involves a broad set of governance components, but requires additional capacity to foster new social-ecological regimes including increased risk tolerance, significant systemic investment, and restructured economies and power relations. Transformative governance has the potential to actively respond to regime shifts triggered by climate change, and thus future research should focus on identifying system drivers and leading indicators associated with social-ecological thresholds.
","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-environ-110615-085817","usgsCitation":"Chaffin, B.C., Garmestani, A.S., Gunderson, L.H., Harm Benson, M., Angeler, D., Arnold, C.A., Cosens, B., Kundis Craig, R., Ruhl, J., and Allen, C.R., 2016, Transformative environmental governance: Annual Review of Environment and Resources, v. 41, p. 399-423, https://doi.org/10.1146/annurev-environ-110615-085817.","productDescription":"25 p.","startPage":"399","endPage":"423","ipdsId":"IP-076262","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488565,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7326237","text":"External Repository"},{"id":337468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9fe4b0849ce9795e98","contributors":{"authors":[{"text":"Chaffin, Brian C.","contributorId":189131,"corporation":false,"usgs":false,"family":"Chaffin","given":"Brian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":684153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":684154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gunderson, Lance H.","contributorId":12182,"corporation":false,"usgs":true,"family":"Gunderson","given":"Lance","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":684155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harm Benson, Melinda","contributorId":189229,"corporation":false,"usgs":false,"family":"Harm Benson","given":"Melinda","email":"","affiliations":[],"preferred":false,"id":684156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":684157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arnold, Craig Anthony","contributorId":189230,"corporation":false,"usgs":false,"family":"Arnold","given":"Craig","email":"","middleInitial":"Anthony","affiliations":[],"preferred":false,"id":684158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cosens, Barbara","contributorId":166744,"corporation":false,"usgs":false,"family":"Cosens","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":684159,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kundis Craig, Robin","contributorId":189231,"corporation":false,"usgs":false,"family":"Kundis Craig","given":"Robin","email":"","affiliations":[],"preferred":false,"id":684160,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruhl, J.B.","contributorId":98223,"corporation":false,"usgs":true,"family":"Ruhl","given":"J.B.","affiliations":[],"preferred":false,"id":684161,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":684107,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70184238,"text":"70184238 - 2016 - Potential interactions among disease, pesticides, water quality and adjacent land cover in amphibian habitats in the United States","interactions":[],"lastModifiedDate":"2018-08-09T12:24:22","indexId":"70184238","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Potential interactions among disease, pesticides, water quality and adjacent land cover in amphibian habitats in the United States","docAbstract":"To investigate interactions among disease, pesticides, water quality, and adjacent land cover, we collected samples of water, sediment, and frog tissue from 21 sites in 7 States in the United States (US) representing a variety of amphibian habitats. All samples were analyzed for > 90 pesticides and pesticide degradates, and water and frogs were screened for the amphibian chytrid fungus Batrachochytrium dendrobatidis (Bd) using molecular methods. Pesticides and pesticide degradates were detected frequently in frog breeding habitats (water and sediment) as well as in frog tissue. Fungicides occurred more frequently in water, sediment, and tissue than was expected based upon their limited use relative to herbicides or insecticides. Pesticide occurrence in water or sediment was not a strong predictor of occurrence in tissue, but pesticide concentrations in tissue were correlated positively to agricultural and urban land, and negatively to forested land in 2-km buffers around the sites. Bd was detected in water at 45% of sites, and on 34% of swabbed frogs. Bd detections in water were not associated with differences in land use around sites, but sites with detections had colder water. Frogs that tested positive for Bd were associated with sites that had higher total fungicide concentrations in water and sediment, but lower insecticide concentrations in sediments relative to frogs that were Bd negative. Bd concentrations on frog swabs were positively correlated to dissolved organic carbon, and total nitrogen and phosphorus, and negatively correlated to pH and water temperature.
Data were collected from a range of locations and amphibian habitats and represent some of the first field-collected information aimed at understanding the interactions between pesticides, land use, and amphibian disease. These interactions are of particular interest to conservation efforts as many amphibians live in altered habitats and may depend on wetlands embedded in these landscapes to survive.
","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.scitotenv.2016.05.062","usgsCitation":"Battaglin, W.A., Smalling, K., Anderson, C.W., Calhoun, D.L., Chestnut, T.E., and Muths, E.L., 2016, Potential interactions among disease, pesticides, water quality and adjacent land cover in amphibian habitats in the United States: Science of the Total Environment, v. 566-567, p. 320-332, https://doi.org/10.1016/j.scitotenv.2016.05.062.","productDescription":"13 p.","startPage":"320","endPage":"332","ipdsId":"IP-073673","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":336833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Colorado, Georgia, Idaho, 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