Quantifying spatial variability in fish growth and identifying large‐scale drivers of growth are fundamental to many conservation and management decisions. Although fish growth studies often focus on a single population, it is becoming increasingly clear that large‐scale studies are likely needed for addressing transboundary management needs. This is particularly true for species with high recreational value and for those with negative ecological consequences when introduced outside of their native range, such as the Flathead Catfish Pylodictis olivaris. This study quantified growth variability of the Flathead Catfish across a large portion of its contemporary range to determine whether growth differences existed between habitat types (i.e., reservoirs and rivers) and between native and introduced populations. Additionally, we investigated whether growth parameters varied as a function of latitude and time since introduction (for introduced populations). Length‐at‐age data from 26 populations across 11 states in the USA were modeled using a Bayesian hierarchical von Bertalanffy growth model. Population‐specific growth trajectories revealed large variation in Flathead Catfish growth and relatively high uncertainty in growth parameters for some populations. Relatively high uncertainty was also evident when comparing populations and when quantifying large‐scale patterns. Growth parameters (Brody growth coefficient [K] and theoretical maximum average length [L∞]) were not different (based on overlapping 90% credible intervals) between habitat types or between native and introduced populations. For populations within the introduced range of Flathead Catfish, latitude was negatively correlated with K. For native populations, we estimated an 85% probability that L∞ estimates were negatively correlated with latitude. Contrary to predictions, time since introduction was not correlated with growth parameters in introduced populations of Flathead Catfish. Results of this study suggest that Flathead Catfish growth patterns are likely shaped more strongly by finer‐scale processes (e.g., exploitation or prey abundances) as opposed to macro‐scale drivers.
","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10055","usgsCitation":"Massie, D.L., Smith, G., Bonvechio, T.F., Bunch, A.J., Lucchesi, D.O., and Wagner, T., 2018, Spatial variability and macro‐scale drivers of growth for native and introduced Flathead Catfish populations: Transactions of the American Fisheries Society, v. 147, no. 3, p. 554-565, https://doi.org/10.1002/tafs.10055.","productDescription":"12 p.","startPage":"554","endPage":"565","ipdsId":"IP-090614","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"147","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-22","publicationStatus":"PW","scienceBaseUri":"5b46e574e4b060350a15d17f","contributors":{"authors":[{"text":"Massie, Danielle L.","contributorId":196717,"corporation":false,"usgs":false,"family":"Massie","given":"Danielle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":737234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Geoffrey","contributorId":115958,"corporation":false,"usgs":true,"family":"Smith","given":"Geoffrey","affiliations":[],"preferred":false,"id":737235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonvechio, Timothy F.","contributorId":174468,"corporation":false,"usgs":false,"family":"Bonvechio","given":"Timothy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":737236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunch, Aaron J.","contributorId":90262,"corporation":false,"usgs":true,"family":"Bunch","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":737237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lucchesi, David O.","contributorId":176629,"corporation":false,"usgs":false,"family":"Lucchesi","given":"David","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":737238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":737202,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197439,"text":"70197439 - 2018 - Small values in big data: The continuing need for appropriate metadata","interactions":[],"lastModifiedDate":"2018-06-05T10:00:21","indexId":"70197439","displayToPublicDate":"2018-06-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Small values in big data: The continuing need for appropriate metadata","docAbstract":"Compiling data from disparate sources to address pressing ecological issues is increasingly common. Many ecological datasets contain left-censored data – observations below an analytical detection limit. Studies from single and typically small datasets show that common approaches for handling censored data — e.g., deletion or substituting fixed values — result in systematic biases. However, no studies have explored the degree to which the documentation and presence of censored data influence outcomes from large, multi-sourced datasets. We describe left-censored data in a lake water quality database assembled from 74 sources and illustrate the challenges of dealing with small values in big data, including detection limits that are absent, range widely, and show trends over time. We show that substitutions of censored data can also bias analyses using ‘big data’ datasets, that censored data can be effectively handled with modern quantitative approaches, but that such approaches rely on accurate metadata that describe treatment of censored data from each source.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2018.03.002","usgsCitation":"Stow, C.A., Webster, K.E., Wagner, T., Lottig, N.R., Soranno, P.A., and Cha, Y., 2018, Small values in big data: The continuing need for appropriate metadata: Ecological Informatics, v. 45, p. 26-30, https://doi.org/10.1016/j.ecoinf.2018.03.002.","productDescription":"5 p.","startPage":"26","endPage":"30","ipdsId":"IP-087729","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468788,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2018.03.002","text":"Publisher Index Page"},{"id":354712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e574e4b060350a15d189","contributors":{"authors":[{"text":"Stow, Craig A.","contributorId":204103,"corporation":false,"usgs":false,"family":"Stow","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":36843,"text":"NOAA, Great Lakes Environmental Research Lab","active":true,"usgs":false}],"preferred":false,"id":737218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webster, Katherine E.","contributorId":147903,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":737219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":737163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":737220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737221,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cha, YoonKyung","contributorId":9741,"corporation":false,"usgs":true,"family":"Cha","given":"YoonKyung","email":"","affiliations":[],"preferred":false,"id":737222,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202768,"text":"70202768 - 2018 - Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system","interactions":[],"lastModifiedDate":"2019-03-26T10:18:32","indexId":"70202768","displayToPublicDate":"2018-06-01T16:27:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system","docAbstract":"Cropland fallows are the next best-bet for intensification and extensification, leading to increased food production and adding to the nutritional basket. The agronomical suitability of these lands can decide the extent of usage of these lands. Myanmar’s agricultural land (over 13.8 Mha) has the potential to expand by another 50% into additional fallow areas. These areas may be used to grow short-duration pulses, which are economically important and nutritionally rich, and constitute the diets of millions of people as well as provide an important source of livestock feed throughout Asia. Intensifying rice fallows will not only improve the productivity of the land but also increase the income of the smallholder farmers. The enhanced cultivation of pulses will help improve nutritional security in Myanmar and also help conserve natural resources and reduce environmental degradation. The objectives of this study was to use remote sensing methods to identify croplands in Myanmar and cropland fallow areas in two important agro-ecological regions, delta and coastal region and the dry zone. The study used moderate-resolution imaging spectroradiometer (MODIS) 250-m, 16-day normalized difference vegetation index (NDVI) maximum value composite (MVC), and land surface water index (LSWI) for one 1 year (1 June 2012–31 May 2013) along with seasonal field-plot level information and spectral matching techniques to derive croplands versus cropland fallows for each of the three seasons: the monsoon period between June and October; winter period between November and February; and summer period between March and May. The study showed that Myanmar had total net cropland area (TNCA) of 13.8 Mha. Cropland fallows during the monsoon season account for a meagre 2.4% of TNCA. However, in the winter season, 56.5% of TNCA (or 7.8 Mha) were classified as cropland fallows and during the summer season, 82.7% of TNCA (11.4 Mha) were cropland fallows. The producer’s accuracy of the cropland fallow class varied between 92 and 98% (errors of omission of 2 to 8%) and user’s accuracy varied between 82 and 92% (errors of commission of 8 to 18%) for winter and summer, respectively. Overall, the study estimated 19.2 Mha cropland fallows from the two major seasons (winter and summer). Out of this, 10.08 Mha has sufficient moisture (either from rainfall or stored soil water content) to grow short-season pulse crops. This potential with an estimated income of US\\$ 300 per hectare, if exploited sustainably, is estimated to bring an additional net income of about US\\$ 1.5 billion to Myanmar per year if at least half (5.04 Mha) of the total cropland fallows (10.08 Mha) is covered with short season pulses.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15481603.2018.1482855","usgsCitation":"Gumma, M.K., Thenkabail, P.S., Deevi, K.C., Mohammed, I.A., Teluguntla, P., Oliphant, A., Xiong, J., Aye, T., and Whittbread, A.M., 2018, Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system: GIScience and Remote Sensing, v. 55, no. 6, p. 926-949, https://doi.org/10.1080/15481603.2018.1482855.","productDescription":"24 p.","startPage":"926","endPage":"949","ipdsId":"IP-090232","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468691,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/af467f4589c54fb88c59701ee82b602f","text":"External 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Tin","contributorId":214449,"corporation":false,"usgs":false,"family":"Aye","given":"Tin","email":"","affiliations":[{"id":39045,"text":"International Plant Nutrition Institute (IPNI)","active":true,"usgs":false}],"preferred":false,"id":759908,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whittbread, Anthony M.","contributorId":214450,"corporation":false,"usgs":false,"family":"Whittbread","given":"Anthony","email":"","middleInitial":"M.","affiliations":[{"id":39044,"text":"The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)","active":true,"usgs":false}],"preferred":false,"id":759909,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70198933,"text":"70198933 - 2018 - Science at the frontier: Multimethod research to evaluate ecosystem change across multiple scales","interactions":[],"lastModifiedDate":"2018-08-27T16:19:30","indexId":"70198933","displayToPublicDate":"2018-06-01T16:19:18","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Science at the frontier: Multimethod research to evaluate ecosystem change across multiple scales","docAbstract":"Changes in the Earth system occur across the full spectrum of spatial and temporal scales, yet our research approaches to understanding and predicting those changes are typically restricted to a pre-defined window of space and time. For this reason, there is substantial power in integrating different approaches, particularly for research associated with the multifaceted nature of ecosystem responses to global change. Within a given research approach – for example, remote sensing, field experimentation, modeling – science promotes the continued advancement of tools and techniques. As technical advancements continue at an unprecedented rate, new opportunities for integrated, multi-approach research emerge, which could more effectively capture the mechanisms and patterns that drive ecosystem structure and function. A capacity to move beyond comparison and into the realm of integration shows promise for promoting significant advances in Earth system science, as evidenced by the Organized Session Science at the Frontier: Using Multimethod Research to Create New Knowledge and Assess Tools Across Spatial and Temporal Scales on December 12, 2017 at the Fall meeting of the American Geophysical Union in New Orleans, Louisiana.","language":"English","publisher":"Wiley","doi":"10.1111/nph.15195","usgsCitation":"Tucker, C., Yan, D., Reed, S.C., Dannenberg, M., and Smith, W., 2018, Science at the frontier: Multimethod research to evaluate ecosystem change across multiple scales: New Phytologist, v. 218, no. 4, p. 1318-1320, https://doi.org/10.1111/nph.15195.","productDescription":"3 p.","startPage":"1318","endPage":"1320","ipdsId":"IP-094934","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468692,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.15195","text":"Publisher Index Page"},{"id":356813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"218","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-08","publicationStatus":"PW","scienceBaseUri":"5b98a2b0e4b0702d0e842fbb","contributors":{"authors":[{"text":"Tucker, Colin 0000-0002-4539-7780 ctucker@usgs.gov","orcid":"https://orcid.org/0000-0002-4539-7780","contributorId":207299,"corporation":false,"usgs":true,"family":"Tucker","given":"Colin","email":"ctucker@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yan, Dong","contributorId":207300,"corporation":false,"usgs":false,"family":"Yan","given":"Dong","email":"","affiliations":[{"id":37515,"text":"University of Arizona School of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":743481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dannenberg, Matthew","contributorId":207301,"corporation":false,"usgs":false,"family":"Dannenberg","given":"Matthew","affiliations":[{"id":37515,"text":"University of Arizona School of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":743482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, William","contributorId":207337,"corporation":false,"usgs":false,"family":"Smith","given":"William","affiliations":[],"preferred":false,"id":743483,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196844,"text":"70196844 - 2018 - The map as knowledge base","interactions":[],"lastModifiedDate":"2019-01-30T15:47:17","indexId":"70196844","displayToPublicDate":"2018-06-01T15:47:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5728,"text":"International Journal of Cartography","active":true,"publicationSubtype":{"id":10}},"title":"The map as knowledge base","docAbstract":"This paper examines the concept and implementation of a map as a knowledge base. A map as a knowledge base means that the visual map is not only the descriptive compilation of data and design principles, but also involves a compilation of semantic propositions and logical predicates that create a body of knowledge organized as a map. The digital product of a map as knowledge base can be interpreted by machines, as well as humans, and can provide access to the knowledge base through interfaces to select features and other information from the map. The design of maps as a knowledge base involves technical approaches and a system architecture to support a knowledge base. This paper clarifies how a map as a knowledge base differs from earlier map theory models by investigating the knowledge-based concepts of implementation through logical modelling, a knowledge repository, user interfaces for information access, and cartographic visualization. The paper ends with proof of concepts for two types of cartographic data query.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/23729333.2017.1421004","usgsCitation":"Varanka, D.E., and Usery, E., 2018, The map as knowledge base: International Journal of Cartography, v. 4, no. 2, p. 201-223, https://doi.org/10.1080/23729333.2017.1421004.","productDescription":"23 p.","startPage":"201","endPage":"223","ipdsId":"IP-086226","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":360842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":734678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Usery, E. Lynn 0000-0002-2766-2173","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":204684,"corporation":false,"usgs":true,"family":"Usery","given":"E. Lynn","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":734679,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200776,"text":"70200776 - 2018 - Cumulative spring discharge and survey effort influence occupancy and detection of a threatened freshwater mussel, the Suwannee Moccasinshell","interactions":[],"lastModifiedDate":"2018-10-31T14:24:23","indexId":"70200776","displayToPublicDate":"2018-06-01T14:24:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Cumulative spring discharge and survey effort influence occupancy and detection of a threatened freshwater mussel, the Suwannee Moccasinshell","docAbstract":"Freshwater mussels (Unionidae) are among the most imperiled groups of organisms in the world, and the lack of information regarding species distributions, life-history characteristics, and ecological and biological requirements may limit the protection of remaining mussel populations. We examined the influence of hydrologic factors on the occurrence of the Suwannee Moccasinshell Medionidus walkeri, a federally threatened freshwater mussel species, endemic to the Suwannee River Basin in Georgia and Florida. We also evaluated the influence of survey effort on detection of Suwannee Moccasinshell during field surveys. We compiled all recent (2013–2016) mussel survey records in the Suwannee River Basin. We calculated cumulative discharge contributed by upstream springs for each of 220 survey locations. We combined the spring discharge predictor variable with Suwannee Moccasinshell detection and nondetection data from each survey location to develop a suite of occupancy models. Modeling results indicated that detection of Suwannee Moccasinshell during surveys was strongly and positively related to survey effort. Modeling results also indicated that sites with cumulative spring discharge inputs exceeding ∼28 cubic meters per second were most likely (i.e., predicted occupancy probabilities >0.5) to support Suwannee Moccasinshell populations. However, occupancy declined in the lowermost reaches of the Suwannee mainstem despite high spring discharge inputs, presumably due to greater tidal influences and differences in physicochemical habitat conditions. Historical localities where Suwannee Moccasinshell has presumably been extirpated are all devoid of springs in their upstream watersheds. We hypothesize that springs may buffer extremely tannic, and at times polluted, surface waters, in addition to maintaining adequate flows during periods of drought, thereby promoting the persistence of Suwannee Moccasinshell populations. Our study suggests that springs are a critical resource for Suwannee Moccasinshell and may be more important for conservation planning than was previously recognized.
","language":"English","publisher":"Fish and Wildlife Service","doi":"10.3996/052017-JFWM-042","usgsCitation":"Holcomb, J.M., Shea, C.P., and Johnson, N.A., 2018, Cumulative spring discharge and survey effort influence occupancy and detection of a threatened freshwater mussel, the Suwannee Moccasinshell: Journal of Fish and Wildlife Management, v. 9, no. 1, p. 95-105, https://doi.org/10.3996/052017-JFWM-042.","productDescription":"11 p.","startPage":"95","endPage":"105","ipdsId":"IP-079957","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468695,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/052017-jfwm-042","text":"Publisher Index Page"},{"id":437880,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VX0DPM","text":"USGS data release","linkHelpText":"Cumulative spring discharge and survey effort influence threatened Suwannee moccasinshell, Medionidus walkeri, occupancy and detection"},{"id":359046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Suwannee River Basin","volume":"9","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-02","publicationStatus":"PW","scienceBaseUri":"5c10a9aae4b034bf6a7e53ad","contributors":{"authors":[{"text":"Holcomb, Jordan M.","contributorId":210321,"corporation":false,"usgs":false,"family":"Holcomb","given":"Jordan","email":"","middleInitial":"M.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":750462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, Colin P.","contributorId":140147,"corporation":false,"usgs":false,"family":"Shea","given":"Colin","email":"","middleInitial":"P.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":750463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":750461,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201608,"text":"70201608 - 2018 - Long-term effects of fire and harvest on carbon stocks of boreal forests in northeastern China","interactions":[],"lastModifiedDate":"2018-12-18T14:00:07","indexId":"70201608","displayToPublicDate":"2018-06-01T14:00:18","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":792,"text":"Annals of Forest Science","active":true,"publicationSubtype":{"id":10}},"title":"Long-term effects of fire and harvest on carbon stocks of boreal forests in northeastern China","docAbstract":"Context
Boreal forests represent about one third of forest area and one third of forest carbon stocks on the Earth. Carbon stocks of boreal forests are sensitive to climate change, natural disturbances, and human activities.
Aims
The objectives of this study were to evaluate the effects of fire, harvest, and their spatial interactions on boreal forest carbon stocks of northeastern China.
Methods
We used a coupled forest landscape model (LANDIS PRO) and a forest ecosystem model (LINKAGES) framework to simulate the landscape-level effects of fire, harvest, and their spatial interactions over 150 years.
Results
Our simulation suggested that aboveground carbon and soil organic carbon are significantly reduced by fire and harvest over the whole simulation period. The long-term effects of fire and harvest on carbon stocks were greater than the short-term effects. The combined effects of fire and harvest on carbon stocks are less than the sum of the separate effects of fire and harvest. The response of carbon stocks was impacted by the spatial variability of fire and harvest regimes.
Conclusion
These results emphasize that the spatial interactions of fire and harvest play an important role in regulating boreal forest carbon stocks.
A suspended sediment transport model is implemented in the unstructured‐grid SUNTANS model and applied to study fine‐grained sediment transport in South San Francisco Bay. The model enables calculation of suspension of bottom sediment based on combined forcing of tidal currents and wind waves. We show that accurate results can be obtained by employing two‐size classes which are representative of microflocs and macroflocs in the Bay. A key finding of the paper is that the critical calibration parameter is the ratio of the erosion of the microflocs to macroflocs from the bed. Different values of this erosion ratio are needed on the shallow shoals and deeper channels because of the different nature of the sediment dynamics in these regions. Application of a spatially variable erosion ratio and critical shear stress for erosion is shown to accurately reproduce observed suspended sediment concentration at four‐field sites located along a cross‐channel transect. The results reveal a stark contrast between the behavior of the suspended sediment concentration on the shoals and in the deep channel. Waves are shown to resuspend sediments on the shoals, although tidal and wind‐generated currents are needed to mix the thin wave‐driven suspensions into the water column. The contribution to the suspended sediment concentration in the channel by transport from the shoals is similar in magnitude to that due to local resuspension. However, the local contribution is in phase with strong bottom currents which resuspend the sediments, while the contribution from the shoals peaks during low‐water slack tide.
","language":"English","publisher":"AGU","doi":"10.1029/2017JC013064","usgsCitation":"Chou, Y., Nelson, K.S., Holleman, R.C., Fringer, O.B., Stacey, M.T., Lacy, J.R., Monismith, S.G., and Koseff, J.R., 2018, Three-dimensional modeling of fine sediment transport by waves and currents in a shallow estuary: Journal of Geophysical Research C: Oceans, v. 123, no. 6, p. 4177-4199, https://doi.org/10.1029/2017JC013064.","productDescription":"23 p.","startPage":"4177","endPage":"4199","ipdsId":"IP-087057","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468700,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jc013064","text":"Publisher Index Page"},{"id":356440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.12103271484375,\n 37.4\n ],\n [\n -121.5,\n 37.4\n ],\n [\n -121.5,\n 38.4\n ],\n [\n -123.12103271484375,\n 38.4\n ],\n [\n -123.12103271484375,\n 37.4\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-29","publicationStatus":"PW","scienceBaseUri":"5b98a2bae4b0702d0e842fc9","contributors":{"authors":[{"text":"Chou, Yi-Ju","contributorId":206951,"corporation":false,"usgs":false,"family":"Chou","given":"Yi-Ju","email":"","affiliations":[{"id":30216,"text":"National Taiwan University","active":true,"usgs":false}],"preferred":false,"id":742319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Kurt S.","contributorId":206952,"corporation":false,"usgs":false,"family":"Nelson","given":"Kurt","email":"","middleInitial":"S.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":742320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holleman, Rusty C.","contributorId":206953,"corporation":false,"usgs":false,"family":"Holleman","given":"Rusty","email":"","middleInitial":"C.","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":742321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fringer, Oliver B.","contributorId":206954,"corporation":false,"usgs":false,"family":"Fringer","given":"Oliver","email":"","middleInitial":"B.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":742322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stacey, Mark T.","contributorId":206955,"corporation":false,"usgs":false,"family":"Stacey","given":"Mark","email":"","middleInitial":"T.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":742323,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lacy, Jessica R. 0000-0002-2797-6172","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":201703,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":742318,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monismith, Stephen G.","contributorId":196322,"corporation":false,"usgs":false,"family":"Monismith","given":"Stephen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":742324,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koseff, Jeffrey R.","contributorId":37915,"corporation":false,"usgs":false,"family":"Koseff","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":742325,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70226900,"text":"70226900 - 2018 - Benthic foraminifera from the Carnarvon Ramp reveal variability in Leeuwin Current activity (Western Australia) since the Pliocene","interactions":[],"lastModifiedDate":"2025-05-13T16:21:50.969344","indexId":"70226900","displayToPublicDate":"2018-06-01T13:02:46","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Benthic foraminifera from the Carnarvon Ramp reveal variability in Leeuwin Current activity (Western Australia) since the Pliocene","docAbstract":"Benthic foraminiferal assemblages from a ~300 m deep core from an outer carbonate-ramp site off Western Australia (International Ocean Discovery Program Core U1460A) were examined to reconstruct the paleoceanographic evolution of the Carnarvon Ramp and the warm surficial Leeuwin Current (LC) for the last 3.54 Ma. Of the identified 179 benthic foraminiferal species, occurrences of the 15 most abundant taxa were assessed using Q-mode Cluster Analysis and Non-Metric Dimensional Scaling. Diversity, equitability, planktonic/benthic index, microhabitat preference, and sedimentary parameters such as lithology and sponge spicule content were analyzed to gather information about past intermediate- and surface-water circulation. Relative abundances of infaunal and epifaunal species were applied to indicate changes in organic-matter supply and oxygenation at the sea floor.
Influence of upwelling was recognized by a high infaunal species ratio, with dominance by Uvigerina peregrina, Lagena annellatrachia and Trifarina bradyi. Epifaunal species such as Hanzawaia nipponica and Hyalinea florenceae gradually became more abundant around 1.14 Ma, indicating increased ventilation and establishment of the paleo-LC. A more substantial change was initiated by 0.91 Ma as marked by key species Spirorutilus carinatus and Rotorbinella sp., together with increased faunal diversity, benthic foraminiferal accumulation rates, and evidence for suspension feeding sponges. With the LC flow suppressing upwelling, and better ventilated waters entering the shelf, the environment favored epifaunal agglutinates, rotalids, and miliolids, while buliminids decreased. Under high-flow conditions of the LC, sponge spicules and skeletal carbonate production reached an optimum at ~0.6 Ma before returning to modern conditions. Supported by these observations, we propose the following paleoceanographic evolution of the Carnarvon Ramp:
During the late Pliocene to mid Pleistocene (3.54–0.91 Ma) conditions of deep-water upwelling from the Western Australian Current and Indian Ocean Gyre indicate the absence of the capping LC on the outer carbonate ramp.
A transitional phase started in the mid Pleistocene (1.14–0.61 Ma). The paleo-LC triggered gradual oxygenation at the sediment-water interface, which coincided with an increase in carbonate sedimentation rates, and waning sea-surface productivity.
During a third phase, mid Pleistocene to present (0.91–0 Ma), the LC’s intensity and flow rates peaked at ~0.6 Ma. Benthic foraminiferal accumulation rates reached a high, then decreased to present-day rates. For short periods, sea-surface productivity was moderately enhanced, likely due to fluctuating LC persistence or landward shift during glacial maxima.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2018.05.005","usgsCitation":"Haller, C., Hallock, P., Hine, A.C., and Smith, C., 2018, Benthic foraminifera from the Carnarvon Ramp reveal variability in Leeuwin Current activity (Western Australia) since the Pliocene: Marine Micropaleontology, v. 142, p. 25-39, https://doi.org/10.1016/j.marmicro.2018.05.005.","productDescription":"15 p.","startPage":"25","endPage":"39","ipdsId":"IP-097159","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":393111,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":468701,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marmicro.2018.05.005","text":"Publisher Index Page"}],"country":"Australia","state":"Western Australia","otherGeospatial":"Indian Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 103.53515625,\n -31.933516761903675\n ],\n [\n 115.55419921875,\n -31.933516761903675\n ],\n [\n 115.55419921875,\n -27.80020993741824\n ],\n [\n 103.53515625,\n -27.80020993741824\n ],\n [\n 103.53515625,\n -31.933516761903675\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"142","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haller, Christian 0000-0002-2905-2598","orcid":"https://orcid.org/0000-0002-2905-2598","contributorId":270216,"corporation":false,"usgs":true,"family":"Haller","given":"Christian","email":"","affiliations":[{"id":7149,"text":"College of Marine Science, University of South Florida, St. Petersburg, FL","active":true,"usgs":false}],"preferred":true,"id":828721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hallock, Pamela 0000-0002-1813-0482","orcid":"https://orcid.org/0000-0002-1813-0482","contributorId":215416,"corporation":false,"usgs":false,"family":"Hallock","given":"Pamela","email":"","affiliations":[{"id":39241,"text":"College of Marine Science, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":828722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hine, Albert C.","contributorId":218440,"corporation":false,"usgs":false,"family":"Hine","given":"Albert","email":"","middleInitial":"C.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":828723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Christopher G. 0000-0002-8075-4763","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":218439,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":828724,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196301,"text":"70196301 - 2018 - Site-scale disturbance best predicts moss, vascular plant, and amphibian indices in Ohio wetlands","interactions":[],"lastModifiedDate":"2018-11-20T12:17:24","indexId":"70196301","displayToPublicDate":"2018-06-01T12:17:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1462,"text":"Ecological Restoration","active":true,"publicationSubtype":{"id":10}},"title":"Site-scale disturbance best predicts moss, vascular plant, and amphibian indices in Ohio wetlands","docAbstract":"Loss of wetland habitats and their associated biological communities is a major environmental concern. Quality assessment indices (QAIs) and indices of biological integrity (IBIs) are useful for assessing the responses of taxa to wetland habitat quality and land use in the surrounding landscape. We synthesized the results of our previous predictive modeling studies of five IBIs and QAIs for communities of mosses, vascular plants, and amphibians in forested and emergent wetlands in Ohio (USA). Overall, the single best predictor of these indices was a metric that estimated site-scale (i.e., within the wetland boundaries) substrate and habitat development, alteration, and disturbance. The second most important predictor was a metric that assessed site-scale wetland plant community types and quality, degree of interspersion, and microtopography. Landscape-scale variables better predicted moss and amphibian indices than either vascular plant index. Our results indicate that applying management practices that reduce the effects of site-scale anthropogenic disturbances and increase habitat complexity, such as creating forested buffers surrounding wetlands, increasing wetland contiguity, and creating hummocks and tussocks may simultaneously enhance amphibian, vascular plant, and moss communities in forested and emergent wetlands. Such a focused strategy may enable management agencies to more effectively apportion resources for wetland restoration and construction projects.
","language":"English","publisher":"University of Wisconsin Press","doi":"10.3368/er.36.2.145","usgsCitation":"Stapanian, M.A., Micacchion, M., Gara, B., Schumacher, W., and Adams, J.V., 2018, Site-scale disturbance best predicts moss, vascular plant, and amphibian indices in Ohio wetlands: Ecological Restoration, v. 36, no. 2, p. 145-156, https://doi.org/10.3368/er.36.2.145.","productDescription":"12 p.","startPage":"145","endPage":"156","ipdsId":"IP-075063","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":359608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-17","publicationStatus":"PW","scienceBaseUri":"5bf52b69e4b045bfcae2800a","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":732235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Micacchion, Mick","contributorId":203759,"corporation":false,"usgs":false,"family":"Micacchion","given":"Mick","email":"","affiliations":[{"id":36709,"text":"Midwest Biodiversity","active":true,"usgs":false}],"preferred":false,"id":732236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gara, Brian","contributorId":52061,"corporation":false,"usgs":true,"family":"Gara","given":"Brian","affiliations":[],"preferred":false,"id":732237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schumacher, William","contributorId":150060,"corporation":false,"usgs":false,"family":"Schumacher","given":"William","email":"","affiliations":[{"id":17898,"text":"Ohio Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":732238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":751877,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198520,"text":"70198520 - 2018 - burnr: Fire history analysis and graphics in R","interactions":[],"lastModifiedDate":"2018-08-07T11:41:28","indexId":"70198520","displayToPublicDate":"2018-06-01T11:41:22","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1377,"text":"Dendrochronologia","active":true,"publicationSubtype":{"id":10}},"title":"burnr: Fire history analysis and graphics in R","docAbstract":"We developed a new software package, burnr, for fire history analysis and plotting in the Rstatistical programming environment. It was developed for tree-ring fire-scar analysis, but is broadly applicable to other event analyses (e.g., avalanches, frost rings, or culturally modified trees). Our new package can read, write, and manipulate standard tree-ring fire history FHX files, produce fire—demography charts, calculate fire frequency and seasonality statistics, and run superposed epoch analysis (SEA). A key benefit of burnr is that it enables automation of analyses and plotting, especially for large data sets. The package also facilitates creative plotting, mapping, and analyses when combined with the thousands of packages available in R. In this paper, we describe the basic functionality of burnr and introduce users to fire history analyses in R.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dendro.2018.02.005","usgsCitation":"Malevich, S.B., Guiterman, C.H., and Margolis, E.Q., 2018, burnr: Fire history analysis and graphics in R: Dendrochronologia, v. 49, p. 9-15, https://doi.org/10.1016/j.dendro.2018.02.005.","productDescription":"7 p.","startPage":"9","endPage":"15","ipdsId":"IP-090900","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468704,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.dendro.2018.02.005","text":"External Repository"},{"id":356274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc443e4b0f5d57878ea35","contributors":{"authors":[{"text":"Malevich, Steven B.","contributorId":173544,"corporation":false,"usgs":false,"family":"Malevich","given":"Steven","email":"","middleInitial":"B.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":741767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guiterman, Christopher H.","contributorId":190553,"corporation":false,"usgs":false,"family":"Guiterman","given":"Christopher","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":741768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":741766,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198360,"text":"70198360 - 2018 - New insights on scale-dependent surface-groundwater exchange from a floating self-potential Dipole","interactions":[],"lastModifiedDate":"2023-03-08T18:33:28.666831","indexId":"70198360","displayToPublicDate":"2018-06-01T11:18:50","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3928,"text":"Journal of Environmental & Engineering Geophysics","printIssn":"1083-1363","active":true,"publicationSubtype":{"id":10}},"title":"New insights on scale-dependent surface-groundwater exchange from a floating self-potential Dipole","docAbstract":"In south-central Texas the lower Guadalupe River has incised into the outcrop of the Carrizo-Wilcox aquifer. The river and the aquifer are hydraulically connected across the outcrop, although the connectivity is obscured at the surface by alluvium and surface-water and groundwater exchange dynamics are currently poorly understood. To investigate surface-water and groundwater exchange dynamics between the lower Guadalupe River and the Carrizo-Wilcox aquifer, a geophysical study was completed along a 14.86 km reach of the river by using water-borne gradient self-potential (SP) profiling and two-dimensional direct-current electric resistivity tomography. This paper explores the applicability of these water-borne geoelectric methods in delineating gaining and losing channel reaches, and demonstrates that geoelectric signals in the form of total electric field strength can be logged with an electric dipole and decomposed into component SP signals depicting regional and local groundwater flow patterns attributable to regional and localized hydraulic gradients. Localized SP anomalies of several tens of millivolts, indicative of hyporheic exchange flows, are observed and superimposed upon a 124 mV regional SP anomaly indicative of ambient groundwater exchange flows between the river and the aquifer. The observed SP signals are interpreted through two-dimensional finite-element modeling of streaming potentials attributable to ambient groundwater exchange and hyporheic exchange flow patterns. Variables of the channel environment such as temperature and concentration gradients, depth, and velocity are considered and subsequently eliminated as alternative sources of the SP signals that are presented.
","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.2113/JEEG23.2.261","usgsCitation":"Ikard, S., Teeple, A.P., Payne, J., Stanton, G.P., and Banta, J., 2018, New insights on scale-dependent surface-groundwater exchange from a floating self-potential Dipole: Journal of Environmental & Engineering Geophysics, v. 23, no. 2, p. 261-287, https://doi.org/10.2113/JEEG23.2.261.","productDescription":"27 p.","startPage":"261","endPage":"287","ipdsId":"IP-081400","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":356084,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.8876953125,\n 26.194876675795218\n ],\n [\n -93.55957031249999,\n 26.194876675795218\n ],\n [\n -93.55957031249999,\n 33.97980872872457\n ],\n [\n -99.8876953125,\n 33.97980872872457\n ],\n [\n -99.8876953125,\n 26.194876675795218\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc443e4b0f5d57878ea37","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935 sikard@usgs.gov","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":171751,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","email":"sikard@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew P. 0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":190757,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew","email":"apteeple@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":741249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Payne, Jason 0000-0003-4294-7924 jdpayne@usgs.gov","orcid":"https://orcid.org/0000-0003-4294-7924","contributorId":1062,"corporation":false,"usgs":true,"family":"Payne","given":"Jason ","email":"jdpayne@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":741250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanton, Gregory P. 0000-0001-8622-0933 gstanton@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-0933","contributorId":1583,"corporation":false,"usgs":true,"family":"Stanton","given":"Gregory","email":"gstanton@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":741251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banta, J. Ryan 0000-0002-2226-7270 jbanta@usgs.gov","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":4723,"corporation":false,"usgs":true,"family":"Banta","given":"J. Ryan","email":"jbanta@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":741252,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199839,"text":"70199839 - 2018 - Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification","interactions":[],"lastModifiedDate":"2018-10-02T11:12:49","indexId":"70199839","displayToPublicDate":"2018-06-01T11:12:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification","docAbstract":"Acoustic recording units (ARUs) enable geographically extensive surveys of sensitive and elusive species. However, a hidden cost of using ARU data for modeling species occupancy is that prohibitive amounts of human verification may be required to correct species identifications made from automated software. Bat acoustic studies exemplify this challenge because large volumes of echolocation calls could be recorded and automatically classified to species. The standard occupancy model requires aggregating verified recordings to construct confirmed detection/non‐detection datasets. The multistep data processing workflow is not necessarily transparent nor consistent among studies. We share a workflow diagramming strategy that could provide coherency among practitioners. A false‐positive occupancy model is explored that accounts for misclassification errors and enables potential reduction in the number of confirmed detections. Simulations informed by real data were used to evaluate how much confirmation effort could be reduced without sacrificing site occupancy and detection error estimator bias and precision. We found even under a 50% reduction in total confirmation effort, estimator properties were reasonable for our assumed survey design, species‐specific parameter values, and desired precision. For transferability, a fully documented r package, OCacoustic, for implementing a false‐positive occupancy model is provided. Practitioners can apply OCacoustic to optimize their own study design (required sample sizes, number of visits, and confirmation scenarios) for properly implementing a false‐positive occupancy model with bat or other wildlife acoustic data. Additionally, our work highlights the importance of clearly defining research objectives and data processing strategies at the outset to align the study design with desired statistical inferences.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4162","usgsCitation":"Banner, K.M., Irvine, K.M., Rodhouse, T., Wright, W.J., Rodriguez, R., and Litt, A.R., 2018, Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification: Ecology and Evolution, v. 8, no. 12, p. 6144-6156, https://doi.org/10.1002/ece3.4162.","productDescription":"13 p.","startPage":"6144","endPage":"6156","ipdsId":"IP-092219","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468705,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4162","text":"Publisher Index Page"},{"id":437884,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JD4W00","text":"USGS data release","linkHelpText":"Online supporting information for "Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification""},{"id":358014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-20","publicationStatus":"PW","scienceBaseUri":"5bc02fe4e4b0fc368eb539a3","contributors":{"authors":[{"text":"Banner, Katharine M.","contributorId":208354,"corporation":false,"usgs":false,"family":"Banner","given":"Katharine","email":"","middleInitial":"M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":746852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":746851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodhouse, Thomas J.","contributorId":127378,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas J.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":746853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Wilson J. 0000-0003-4276-3850 wjwright@usgs.gov","orcid":"https://orcid.org/0000-0003-4276-3850","contributorId":198317,"corporation":false,"usgs":true,"family":"Wright","given":"Wilson","email":"wjwright@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":746854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez, Rogelio M.","contributorId":208357,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Rogelio M.","affiliations":[{"id":37789,"text":"Zots Ecological Solutions","active":true,"usgs":false}],"preferred":false,"id":746857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Litt, Andrea R.","contributorId":208358,"corporation":false,"usgs":false,"family":"Litt","given":"Andrea","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":746858,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198565,"text":"70198565 - 2018 - Thamnophis sirtalis fitchi (Valley Gartersnake). Coloration.","interactions":[],"lastModifiedDate":"2018-08-08T11:11:20","indexId":"70198565","displayToPublicDate":"2018-06-01T11:11:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Thamnophis sirtalis fitchi (Valley Gartersnake). Coloration.","title":"Thamnophis sirtalis fitchi (Valley Gartersnake). Coloration.","docAbstract":"During surveys for Thamnophis gigas (Giant Gartersnake), I observed an adult T. sirtalis fitchi with unusual coloration— a yellow-cream background color with some typical red coloration laterally, but with very minimal amounts of the dark slate-black (along the sides of the yellow dorsal stripe and on top of the head) that normally predominates in this subspecies (Fig. 1; LACM [Natural History Museum of Los Angeles County] PC 2339, photo voucher). The snake was captured in a modified minnow trap on 21 May 2017, in Sutter County, Sacramento Valley, California, USA. Prior to this capture, our survey crew made two sightings of similarly marked T. s. fitchi at the same field location, and another snake with similar markings was captured at a nearby field location on 13 May 2016 (LACM PC 2341, photo voucher).
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Fulton, A.M., 2018, Thamnophis sirtalis fitchi (Valley Gartersnake). Coloration.: Herpetological Review, v. 49, no. 2, p. 358-358.","productDescription":"1 p.","startPage":"358","endPage":"358","ipdsId":"IP-090675","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":356320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc443e4b0f5d57878ea39","contributors":{"authors":[{"text":"Fulton, Alexandria M. 0000-0002-1070-4605 afulton@usgs.gov","orcid":"https://orcid.org/0000-0002-1070-4605","contributorId":200445,"corporation":false,"usgs":true,"family":"Fulton","given":"Alexandria","email":"afulton@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":741951,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70201090,"text":"70201090 - 2018 - Flood effects on soil thermal regimes in contrasting cold‐desert river floodplains (Yampa and Green rivers, Colorado)","interactions":[],"lastModifiedDate":"2018-11-28T11:00:18","indexId":"70201090","displayToPublicDate":"2018-06-01T11:00:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Flood effects on soil thermal regimes in contrasting cold‐desert river floodplains (Yampa and Green rivers, Colorado)","docAbstract":"Heat transfer theory suggests that floodplain soils in dryland riverine ecosystems can be cooled by hyporheic flows generated during spring floods. I compared soil temperature cycles and associated hydrologic factors on a free‐flowing river to those on a river where flows and surface water temperatures are now regulated. Spring surface water temperatures were comparable on the 2 rivers, as was apparent diffusivity of the soil under mature Populus fremontii in a year when severe drought produced similar soil moisture regimes. Over 9 years of monitoring, mean annual maximum soil temperature was higher on the regulated river than on the free‐flowing river (10 cm depth: 33 vs. 23 °C; 40 cm depth: 30 vs. 20°C, respectively), and sinusoidal models of the annual temperature cycle at each depth indicated higher means and greater amplitudes on the regulated river. The annual maximum soil temperature was inversely related to peak flood discharge on the free‐flowing river but not on the regulated river. Temporal shifts in the lag between diel cycles at 40 and 10 cm depths—an index of soil thermal diffusivity—suggested that the capillary fringe is strongly involved in heat exchange. An increase in the lag during some water table declines suggested that shallow soils may undergo flood‐induced evaporative cooling. Hyporheic recharge can be an ecologically important determinant of growing‐season soil temperatures at plant rooting depth in dryland river floodplains. Reductions in spring flood magnitude due to river regulation, water abstraction, or climate change can increase these temperatures and thereby alter ecosystem structure and functioning.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.1939","usgsCitation":"Andersen, D.C., 2018, Flood effects on soil thermal regimes in contrasting cold‐desert river floodplains (Yampa and Green rivers, Colorado): Ecohydrology, v. 11, no. 4, p. 1-17, https://doi.org/10.1002/eco.1939.","productDescription":"e1939; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-078853","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":359759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Green River, Yampa River","volume":"11","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-29","publicationStatus":"PW","scienceBaseUri":"5bffb75de4b0815414ca8e4d","contributors":{"authors":[{"text":"Andersen, Douglas C. 0000-0001-9040-0654 doug_andersen@usgs.gov","orcid":"https://orcid.org/0000-0001-9040-0654","contributorId":210853,"corporation":false,"usgs":true,"family":"Andersen","given":"Douglas","email":"doug_andersen@usgs.gov","middleInitial":"C.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":752377,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70200979,"text":"70200979 - 2018 - Processes and facies relationships in a Lower(?) Devonian rocky shoreline depositional environment, East Lime Creek Conglomerate, south‐western Colorado, USA","interactions":[],"lastModifiedDate":"2018-11-20T10:50:59","indexId":"70200979","displayToPublicDate":"2018-06-01T10:50:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5781,"text":"The Depositional Record","active":true,"publicationSubtype":{"id":10}},"title":"Processes and facies relationships in a Lower(?) Devonian rocky shoreline depositional environment, East Lime Creek Conglomerate, south‐western Colorado, USA","docAbstract":"Rocky shorelines are relatively common features along modern coastlines, but few have been recognized in the geological record. The hard substrates of rocky shorelines telescope the width of offshore marine environments, thus the diagnostic deposits observed in such settings today have a low preservation potential due to small accommodation space and high‐energy conditions. This study recognized previously overlooked, laterally extensive Lower(?) Devonian rocky shoreline deposits in the San Juan Mountains of south‐western Colorado. The newly defined lithostratigraphic unit, the East Lime Creek Conglomerate (ELCC), is 0–23 m thick, unconformably overlying Proterozoic crystalline rocks and unconformably overlain by the Upper Devonian Ignacio Formation and/or Elbert Formation. The unit mostly consists of clast‐supported cobble‐boulder conglomerate with rounded quartzite clasts up to 1.4 m in length interbedded with thin sandstone layers and lenses. Sandstones in the ELCC are distinguished from unconformably overlying Upper Devonian sedimentary rocks because they have sericite cements. Most importantly, there are buttressing relationships between the ELCC and underlying Proterozoic crystalline rocks interpreted as palaeo‐sea cliffs, palaeo‐wave‐cut platforms and palaeo‐tombolos. A proposed rocky shoreline facies model includes headlands with upper shoreface‐beachface tabular cobble‐boulder gravels sourced from rock fall talus, nearshore subaqueous debris‐flow deposits and intervening pocket beaches with imbricated, stratified pebble‐cobble gravel sheets. Palaeocurrent data (n = 338) from clast long‐axis orientations, imbrication and cross‐bedding indicate south‐to‐north transport roughly onshore‐offshore to a coastline consisting of alternating rocky headlands and pocket beaches. This Lower(?) Devonian unit documents a previously unrecognized episode in the geological history of south‐western Colorado.
","language":"English","publisher":"Wiley","doi":"10.1002/dep2.41","usgsCitation":"Evans, J.E., and Holm-Denoma, C.S., 2018, Processes and facies relationships in a Lower(?) Devonian rocky shoreline depositional environment, East Lime Creek Conglomerate, south‐western Colorado, USA: The Depositional Record, v. 4, no. 1, p. 133-156, https://doi.org/10.1002/dep2.41.","productDescription":"24 p.","startPage":"133","endPage":"156","ipdsId":"IP-090285","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":468708,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/dep2.41","text":"Publisher Index Page"},{"id":359601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108,\n 37.25\n ],\n [\n -107.5,\n 37.25\n ],\n [\n -107.5,\n 37.88027325525864\n ],\n [\n -108,\n 37.88027325525864\n ],\n [\n -108,\n 37.25\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-14","publicationStatus":"PW","scienceBaseUri":"5bf52b69e4b045bfcae2800c","contributors":{"authors":[{"text":"Evans, James E.","contributorId":194435,"corporation":false,"usgs":false,"family":"Evans","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":751544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":751543,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200935,"text":"70200935 - 2018 - Wildland–urban interface residents’ relationships with wildfire: Variation within and across communities","interactions":[],"lastModifiedDate":"2018-11-16T10:49:16","indexId":"70200935","displayToPublicDate":"2018-06-01T10:49:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3405,"text":"Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"Wildland–urban interface residents’ relationships with wildfire: Variation within and across communities","docAbstract":"Social science offers rich descriptions of relationships between wildland–urban interface residents and wildfire, but syntheses across different contexts might gloss over important differences. We investigate the potential extent of such differences using data collected consistently in sixty-eight Colorado communities and hierarchical modeling. We find substantial variation across responses for all considered measures, much of which occurs at the community-level. Our results show that many aspects of relationships with wildfire meaningfully differ both within and across communities. Our analysis suggests that some wildfire social science results will be relatively consistent across communities, whereas others will not, and this study contributes evidence to broader efforts for understanding which is which. As such, it provides important guidance for transferring the lessons of wildfire social science studies across contexts, and for practitioners who seek to understand the breadth of viewpoints within the communities with which they work.
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Results from a weekly-resolved sediment trap time series (2008–2014) in the northern Gulf of Mexico demonstrate that 92% of Globorotalia truncatulinoides flux occurs in winter (January, February, and March), and that encrusted and non-encrusted individuals represent calcification in distinct depth habitats. We use individual foraminiferal analysis (IFA) of G. truncatulinoides tests to investigate differences in the elemental (Mg/Ca) and isotopic composition (δ18O and δ13C) of the encrusted and non-encrusted ontogenetic forms of G. truncatulinoides, and to estimate their calcification depth in the northern Gulf of Mexico. We estimate that non-encrusted and encrusted G. truncatulinoides have mean calcification depths of 66 ± 9 m and 379 ± 76 m, respectively. We validate the Mg/Ca-calcification temperature relationship for G. truncatulinoides and demonstrate that the δ18O and Mg/Ca of the non-encrusted form is a suitable proxy for winter surface mixed layer conditions in the Gulf of Mexico. Care should be taken not to combine encrusted and non-encrusted individuals of G. truncatulinoides for down core paleoceanographic studies.
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School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":750822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spero, Howard J.","contributorId":204636,"corporation":false,"usgs":false,"family":"Spero","given":"Howard J.","affiliations":[{"id":33664,"text":"Department of Earth and Planetary Sciences, University of California Davis","active":true,"usgs":false}],"preferred":false,"id":750823,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255616,"text":"70255616 - 2018 - Prediction uncertainty and data worth assessment for groundwater transport times in an agricultural catchment","interactions":[],"lastModifiedDate":"2024-06-26T13:22:26.75759","indexId":"70255616","displayToPublicDate":"2018-06-01T08:11:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Prediction uncertainty and data worth assessment for groundwater transport times in an agricultural catchment","docAbstract":"Uncertainties about the age of base-flow discharge can have serious implications for the management of degraded environmental systems where subsurface pathways, and the ongoing release of pollutants that accumulated in the subsurface during past decades, dominate the water quality signal. Numerical groundwater models may be used to estimate groundwater return times and base-flow ages and thus predict the time required for stakeholders to see the results of improved agricultural management practices. However, the uncertainty inherent in the relationship between (i) the observations of atmospherically-derived tracers that are required to calibrate such models and (ii) the predictions of system age that the observations inform have not been investigated. For example, few if any studies have assessed the uncertainty of numerically-simulated system ages or evaluated the uncertainty reductions that may result from the expense of collecting additional subsurface tracer data. In this study we combine numerical flow and transport modeling of atmospherically-derived tracers with prediction uncertainty methods to accomplish four objectives. First, we show the relative importance of head, discharge, and tracer information for characterizing response times in a uniquely data rich catchment that includes 266 age-tracer measurements (SF6, CFCs, and 3H) in addition to long term monitoring of water levels and stream discharge. Second, we calculate uncertainty intervals for model-simulated base-flow ages using both linear and non-linear methods, and find that the prediction sensitivity vector used by linear first-order second-moment methods results in much larger uncertainties than non-linear Monte Carlo methods operating on the same parameter uncertainty. Third, by combining prediction uncertainty analysis with multiple models of the system, we show that data-worth calculations and monitoring network design are sensitive to variations in the amount of water leaving the system via stream discharge and irrigation withdrawals. Finally, we demonstrate a novel model-averaged computation of potential data worth that can account for these uncertainties in model structure.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.02.006","usgsCitation":"Zell, W.O., Culver, T.B., and Sanford, W.E., 2018, Prediction uncertainty and data worth assessment for groundwater transport times in an agricultural catchment: Journal of Hydrology, v. 561, p. 1019-1036, https://doi.org/10.1016/j.jhydrol.2018.02.006.","productDescription":"18 p.","startPage":"1019","endPage":"1036","ipdsId":"IP-088953","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":430519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Morgan Creek, Upper Chester watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76,\n 39.333\n ],\n [\n -76,\n 39.25\n ],\n [\n -75.916667,\n 39.25\n ],\n [\n -75.916667,\n 39.333\n ],\n [\n -76,\n 39.333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"561","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zell, Wesley O. 0000-0002-8782-6627","orcid":"https://orcid.org/0000-0002-8782-6627","contributorId":339721,"corporation":false,"usgs":true,"family":"Zell","given":"Wesley","email":"","middleInitial":"O.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":904939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culver, Teresa B.","contributorId":339727,"corporation":false,"usgs":false,"family":"Culver","given":"Teresa","email":"","middleInitial":"B.","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":904940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","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}],"preferred":true,"id":904941,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197446,"text":"70197446 - 2018 - Estimation of stream conditions in tributaries of the Klamath River, northern California","interactions":[],"lastModifiedDate":"2018-06-12T11:11:00","indexId":"70197446","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5708,"text":"Arcata Fisheries Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"TR 2018-32","title":"Estimation of stream conditions in tributaries of the Klamath River, northern California","docAbstract":"Because of their critical ecological role, stream temperature and discharge are requisite inputs for models of salmonid population dynamics. Coho Salmon inhabiting the Klamath Basin spend much of their freshwater life cycle inhabiting tributaries, but environmental data are often absent or only seasonally available at these locations. To address this information gap, we constructed daily averaged water temperature models that used simulated meteorological data to estimate daily tributary temperatures, and we used flow differentials recorded on the mainstem Klamath River to estimate daily tributary discharge.\n\nObserved temperature data were available for fourteen of the major salmon bearing tributaries, which enabled estimation of tributary-specific model parameters at those locations. Water temperature data from six mid-Klamath Basin tributaries were used to estimate a global set of parameters for predicting water temperatures in the remaining tributaries. The resulting parameter sets were used to simulate water temperatures for each of 75 tributaries from 1980-2015. Goodness-of-fit statistics computed from a cross-validation analysis demonstrated a high precision of the tributary-specific models in predicting temperature in unobserved years and of the global model in predicting temperatures in unobserved streams.\n\nKlamath River discharge has been monitored by four gages that broadly intersperse the 292 kilometers from the Iron Gate Dam to the Klamath River mouth. These gages defined the upstream and downstream margins of three reaches. Daily discharge of tributaries within a reach was estimated from 1980-2015 based on drainage-area proportionate allocations of the discharge differential between the upstream and downstream margin. Comparisons with measured discharge on Indian Creek, a moderate-sized tributary with naturally regulated flows, revealed that the estimates effectively approximated both the variability and magnitude of discharge.","language":"English","publisher":"U.S. Fish and Wildlife Service. Arcata Fish and Wildlife Office","usgsCitation":"Manhard, C.V., Som, N.A., Jones, E.C., and Perry, R.W., 2018, Estimation of stream conditions in tributaries of the Klamath River, northern California: Arcata Fisheries Technical Report TR 2018-32, vi, 28 p.","productDescription":"vi, 28 p.","numberOfPages":"34","ipdsId":"IP-088667","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":354934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354703,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/arcata/fisheries/reports/technical/2018/EstimationofStreamConditionsinTributariesoftheKlamathRiverNorthernCalifornia.pdf"}],"country":"United States","state":"California","otherGeospatial":"Klamath River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.667,\n 41\n ],\n [\n -122.3333,\n 41\n ],\n [\n -122.3333,\n 42\n ],\n [\n -123.667,\n 42\n ],\n [\n -123.667,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1a9","contributors":{"authors":[{"text":"Manhard, Christopher V.","contributorId":203911,"corporation":false,"usgs":false,"family":"Manhard","given":"Christopher","email":"","middleInitial":"V.","affiliations":[{"id":36754,"text":"U.S. Fish and Wildlife Service, California Cooperative Fish and Wildlife Research Unit, Humboldt State University, 1 Harpst Street, Arcata, CA 95521, USA","active":true,"usgs":false}],"preferred":false,"id":737185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":737186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Edward C. 0000-0001-7255-1475 ejones@usgs.gov","orcid":"https://orcid.org/0000-0001-7255-1475","contributorId":203917,"corporation":false,"usgs":true,"family":"Jones","given":"Edward","email":"ejones@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":737187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":737184,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197403,"text":"70197403 - 2018 - Evaluating indices of lipid and protein content in lesser snow and Ross's geese during spring migration","interactions":[],"lastModifiedDate":"2018-07-03T11:10:56","indexId":"70197403","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating indices of lipid and protein content in lesser snow and Ross's geese during spring migration","docAbstract":"Assessing nutrient stores in avian species is important for understanding the extent to which body condition influences success or failure in life‐history events. We evaluated predictive models using morphometric characteristics to estimate total body lipids (TBL) and total body protein (TBP), based on traditional proximate analyses, in spring migrating lesser snow geese (Anser caerulescens caerulescens) and Ross's geese (A. rossii). We also compared performance of our lipid model with a previously derived predictive equation for TBL developed for nesting lesser snow geese. We used external and internal measurements on 612 lesser snow and 125 Ross's geese collected during spring migration in 2015 and 2016 within the Central and Mississippi flyways to derive and evaluate predictive models. Using a validation data set, our best performing lipid model for snow geese better predicted TBL (root mean square error [RMSE] of 23.56) compared with a model derived from nesting individuals (RMSE = 48.60), suggesting the importance of season‐specific models for accurate lipid estimation. Models that included body mass and abdominal fat deposit best predicted TBL determined by proximate analysis in both species (lesser snow goose, R2 = 0.87, RMSE = 23.56: Ross's geese, R2 = 0.89, RMSE = 13.75). Models incorporating a combination of external structural measurements in addition to internal muscle and body mass best predicted protein values (R2 = 0.85, RMSE = 19.39 and R2 = 0.85, RMSE = 7.65, lesser snow and Ross's geese, respectively), but protein models including only body mass and body size were also competitive and provided extended utility to our equations for field applications. Therefore, our models indicated the importance of specimen dissection and measurement of the abdominal fat pad to provide the most accurate lipid estimates and provide alternative dissection‐free methods for estimating protein.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.867","usgsCitation":"Webb, E.B., Fowler, D.N., Woodall, B.A., and Vrtiska, M.P., 2018, Evaluating indices of lipid and protein content in lesser snow and Ross's geese during spring migration: Wildlife Society Bulletin, v. 42, no. 2, p. 295-303, https://doi.org/10.1002/wsb.867.","productDescription":"9 p.","startPage":"295","endPage":"303","ipdsId":"IP-086754","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499991,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/b506db9d3c3242bc8767f8d690d7f8c1","text":"External Repository"},{"id":354662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Nebraska, South Dakota","volume":"42","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d6fe4b092d9651e1ae0","contributors":{"authors":[{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":737022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fowler, Drew N.","contributorId":205356,"corporation":false,"usgs":false,"family":"Fowler","given":"Drew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":737053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodall, Brendan A.","contributorId":205358,"corporation":false,"usgs":false,"family":"Woodall","given":"Brendan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vrtiska, Mark P.","contributorId":54008,"corporation":false,"usgs":true,"family":"Vrtiska","given":"Mark","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":737055,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197465,"text":"70197465 - 2018 - Remote sensing analysis of vegetation at the San Carlos Apache Reservation, Arizona and surrounding area","interactions":[],"lastModifiedDate":"2018-06-06T11:01:01","indexId":"70197465","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing analysis of vegetation at the San Carlos Apache Reservation, Arizona and surrounding area","docAbstract":"Mapping of vegetation types is of great importance to the San Carlos Apache Tribe and their management of forestry and fire fuels. Various remote sensing techniques were applied to classify multitemporal Landsat 8 satellite data, vegetation index, and digital elevation model data. A multitiered unsupervised classification generated over 900 classes that were then recoded to one of the 16 generalized vegetation/land cover classes using the Southwest Regional Gap Analysis Project (SWReGAP) map as a guide. A supervised classification was also run using field data collected in the SWReGAP project and our field campaign. Field data were gathered and accuracy assessments were generated to compare outputs. Our hypothesis was that a resulting map would update and potentially improve upon the vegetation/land cover class distributions of the older SWReGAP map over the 24,000 km2 study area. The estimated overall accuracies ranged between 43% and 75%, depending on which method and field dataset were used. The findings demonstrate the complexity of vegetation mapping, the importance of recent, high-quality-field data, and the potential for misleading results when insufficient field data are collected.
","language":"English","publisher":"SPIE","doi":"10.1117/1.JRS.12.026017","usgsCitation":"Norman, L.M., Middleton, B.R., and Wilson, N.R., 2018, Remote sensing analysis of vegetation at the San Carlos Apache Reservation, Arizona and surrounding area: Journal of Applied Remote Sensing, v. 12, no. 2, p. 1-19, https://doi.org/10.1117/1.JRS.12.026017.","productDescription":"Article 026017; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-093007","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468713,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1117/1.jrs.12.026017","text":"Publisher Index Page"},{"id":437886,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OCZ17X","text":"USGS data release","linkHelpText":"Vegetation Survey of the San Carlos Apache Reservation, Arizona and Surrounding Area (September to November 2017)."},{"id":354725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111,\n 32.5\n ],\n [\n -109,\n 32.5\n ],\n [\n -109,\n 34\n ],\n [\n -111,\n 34\n ],\n [\n -111,\n 32.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1a5","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":737279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Barry R. 0000-0001-8924-4121 bmiddleton@usgs.gov","orcid":"https://orcid.org/0000-0001-8924-4121","contributorId":3947,"corporation":false,"usgs":true,"family":"Middleton","given":"Barry","email":"bmiddleton@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":737281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Natalie R. 0000-0001-5145-1221 nrwilson@usgs.gov","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":5770,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie","email":"nrwilson@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":737280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197407,"text":"70197407 - 2018 - Movement behavior preceding autumn mortality for white-tailed deer in central New York","interactions":[],"lastModifiedDate":"2018-06-01T09:08:06","indexId":"70197407","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Movement behavior preceding autumn mortality for white-tailed deer in central New York","docAbstract":"A common yet largely untested assumption in the theory of animal movements is that increased rates and a wider range of movements, such as occurs during breeding, make animals more vulnerable to mortality. We examined mortality among 34 white-tailed deer (Odocoileus virginianus) wearing GPS collars during the autumn breeding season of 2006 and 2007 in a heavily hunted, forest-agricultural landscape of central New York state. We evaluated whether individuals having higher rates of movement incurred higher rates of mortality and whether mortality risk was higher when deer were in less familiar areas. We used a Cox proportional hazards model to analyze how mortality risk changes with movement rates measured over 3 time periods: < 1 day, up to 2 weeks prior to death, and 3–4 weeks prior to death. Overall, deer increased their movement rates as autumn progressed, males more so than females. However, deer that died moved at a slower rate relative to surviving deer up to 2 weeks prior to death (ß = -2.22 ± 0.81; 95% confidence interval [CI] = -3.91 to -0.51) and a slower rate on their day of death compared to deer that survived (ß = -1.77 ± 0.73; 95% CI = -3.19 to -0.33). Site familiarity was not significantly related to mortality risk. Deer were equally likely to die within their 50% core use area as elsewhere within their autumn home range. We hypothesize that increased sociality associated with breeding may make animals more vulnerable to harvest mortality. Our findings contradict general assumptions about the influences of movement behavior on mortality risk, suggesting that patterns may be sensitive to the spatiotemporal context of the movement analysis.","language":"English","doi":"10.1093/jmammal/gyy023","usgsCitation":"Whitman, B.J., Porter, W.F., Dechen Quinn, A.C., Williams, D.M., Frair, J.L., Underwood, H.B., and Crawford, J.C., 2018, Movement behavior preceding autumn mortality for white-tailed deer in central New York: Journal of Mammalogy, v. 99, no. 3, p. 675-683, https://doi.org/10.1093/jmammal/gyy023.","productDescription":"9 p.","startPage":"675","endPage":"683","ipdsId":"IP-091546","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468710,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyy023","text":"Publisher Index 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One tool for addressing this topic is a freshwater dynamics model to forecast Coho Salmon productivity based on environmental inputs. Constructing such a forecasting tool requires local data to quantify the unique life history processes of Coho Salmon inhabiting this region. Here, we describe analytical methods for estimating a series of sub-models, each capturing a different life history process, which will eventually be synchronized as part of a freshwater dynamics model for Klamath River Coho Salmon. Specifically, we draw upon extensive population monitoring data collected in the basin to estimate models of freshwater productivity, overwinter survival, and migration patterns. Our models of freshwater productivity indicated that high summer temperatures and high winter flows can both adversely affect smolt production and that such relationships are more likely in tributaries with naturally regulated flows due to substantial intraannual environmental variation. Our models of overwinter survival demonstrated extensive variability in survival among years, but not among rearing locations, and demonstrated that a substantial proportion (~ 20%) of age-0+ fish emigrate from some rearing sites in the winter. Our models of migration patterns indicated that many age-0+ fish redistribute in the basin during the summer and winter. Further, we observed that these redistributions can entail long migrations in the mainstem where environmental stressors likely play a role in cueing refuge entry. Finally, our models of migration patterns indicated that changes in discharge are important in cueing the seaward migration of smolts, but that the nature of this behavioral response can differ dramatically between tributaries with naturally and artificially regulated flows. Collectively, these analyses demonstrate that environmental variation interacts with most phases of the freshwater life history of Klamath River Coho Salmon and that anthropogenic environmental variation can have a particularly large bearing on productivity.
","language":"English","publisher":"U.S. Fish and Wildlife Service, Arcata Fish and Wildlife Office","usgsCitation":"Manhard, C.V., Som, N.A., Perry, R.W., Faukner, J., and Soto, T., 2018, Estimating freshwater productivity, overwinter survival, and migration patterns of Klamath River Coho Salmon: Arcata Fisheries Technical Report TR 2018-33, x, 74 p.","productDescription":"x, 74 p.","numberOfPages":"84","ipdsId":"IP-088669","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":354933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354702,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/arcata/fisheries/reports/technical/2018/EstimatingFreshwaterProductivityOverwinterSurvivalandMigrationPatternsofKlamathRiverCohoSalmon.pdf"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1ab","contributors":{"authors":[{"text":"Manhard, Christopher V.","contributorId":203911,"corporation":false,"usgs":false,"family":"Manhard","given":"Christopher","email":"","middleInitial":"V.","affiliations":[{"id":36754,"text":"U.S. Fish and Wildlife Service, California Cooperative Fish and Wildlife Research Unit, Humboldt State University, 1 Harpst Street, Arcata, CA 95521, USA","active":true,"usgs":false}],"preferred":false,"id":737180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":737181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":737179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faukner, Jimmy","contributorId":205405,"corporation":false,"usgs":false,"family":"Faukner","given":"Jimmy","email":"","affiliations":[{"id":37098,"text":"Yurok Tribal Fisheries Program","active":true,"usgs":false}],"preferred":false,"id":737182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soto, Toz","contributorId":205406,"corporation":false,"usgs":false,"family":"Soto","given":"Toz","email":"","affiliations":[{"id":37099,"text":"Karuk Tribe Fisheries Program","active":true,"usgs":false}],"preferred":false,"id":737183,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197436,"text":"70197436 - 2018 - The utility of point count surveys to predict wildlife interactions with wind energy facilities: An example focused on golden eagles","interactions":[],"lastModifiedDate":"2018-06-05T09:53:39","indexId":"70197436","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"The utility of point count surveys to predict wildlife interactions with wind energy facilities: An example focused on golden eagles","docAbstract":"Wind energy development is rapidly expanding in North America, often accompanied by requirements to survey potential facility locations for existing wildlife. Within the USA, golden eagles (Aquila chrysaetos) are among the most high-profile species of birds that are at risk from wind turbines. To minimize golden eagle fatalities in areas proposed for wind development, modified point count surveys are usually conducted to estimate use by these birds. However, it is not always clear what drives variation in the relationship between on-site point count data and actual use by eagles of a wind energy project footprint. We used existing GPS-GSM telemetry data, collected at 15 min intervals from 13 golden eagles in 2012 and 2013, to explore the relationship between point count data and eagle use of an entire project footprint. To do this, we overlaid the telemetry data on hypothetical project footprints and simulated a variety of point count sampling strategies for those footprints. We compared the time an eagle was found in the sample plots with the time it was found in the project footprint using a metric we called “error due to sampling”. Error due to sampling for individual eagles appeared to be influenced by interactions between the size of the project footprint (20, 40, 90 or 180 km2) and the sampling type (random, systematic or stratified) and was greatest on 90 km2 plots. However, use of random sampling resulted in lowest error due to sampling within intermediate sized plots. In addition sampling intensity and sampling frequency both influenced the effectiveness of point count sampling. Although our work focuses on individual eagles (not the eagle populations typically surveyed in the field), our analysis shows both the utility of simulations to identify specific influences on error and also potential improvements to sampling that consider the context-specific manner that point counts are laid out on the landscape.
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