{"pageNumber":"989","pageRowStart":"24700","pageSize":"25","recordCount":165521,"records":[{"id":70192402,"text":"70192402 - 2017 - Water quality and natural resources in the Green River Basin","interactions":[],"lastModifiedDate":"2018-02-02T13:29:57","indexId":"70192402","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Water quality and natural resources in the Green River Basin","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Water in Kentucky: Natural history, communities, and conservation","language":"English","publisher":"University Press of Kentucky","usgsCitation":"Lee, B.D., Williamson, T.N., and Crain, A.S., 2017, Water quality and natural resources in the Green River Basin, chap. of Water in Kentucky: Natural history, communities, and conservation, p. 133-150.","productDescription":"18 p.","startPage":"133","endPage":"150","ipdsId":"IP-046141","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":350972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350971,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.kentuckypress.com/live/title_detail.php?titleid=2917#.WnS7r7enFhE"}],"country":"United States","state":"Kentucky","otherGeospatial":"Green River Basin","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586d9e4b00f54eb1d81f8","contributors":{"authors":[{"text":"Lee, Brad D.","contributorId":138937,"corporation":false,"usgs":false,"family":"Lee","given":"Brad","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":715703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crain, Angela S. 0000-0003-0969-6238 ascrain@usgs.gov","orcid":"https://orcid.org/0000-0003-0969-6238","contributorId":3090,"corporation":false,"usgs":true,"family":"Crain","given":"Angela","email":"ascrain@usgs.gov","middleInitial":"S.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715701,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192130,"text":"70192130 - 2017 - The response of arid soil communities to climate change: Chapter 8","interactions":[],"lastModifiedDate":"2018-02-12T13:50:06","indexId":"70192130","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The response of arid soil communities to climate change: Chapter 8","docAbstract":"

Arid and semiarid ecosystems cover approximately 40% of Earth’s terrestrial surface and are present on each of the planet’s continents [1]. Drylands are characterized by their aridity, but there is substantial geographic, edaphic, and climatic variability among these vast ecosystems, and these differences underscore substantial variation in dryland soil microbial communities, as well as in the future climates predicted among arid and semiarid systems globally. Furthermore, arid ecosystems are commonly patchy at a variety of spatial scales [2,3]. Vascular plants are widely interspersed in drylands and bare soil, or soil that is covered with biological soil crusts, fill these spaces. The variability acts to further enhance spatial heterogeneity, as these different zones within dryland ecosystems differ in characteristics such as water retention, albedo, and nutrient cycling [4–6]. Importantly, the various soil patches of an arid landscape may be differentially sensitive to climate change. Soil communities are only active when enough moisture is available, and drylands show large spatial variability in soil moisture, with potentially long dry periods followed by pulses of moisture. The pulse dynamics associated with this wetting and drying affect the composition, structure, and function of dryland soil communities, and integrate biotic and abiotic processes via pulse-driven exchanges, interactions, transitions, and transfers. Climate change will likely alter the size, frequency, and intensity of future precipitation pulses, as well as influence non-rainfall sources of soil moisture, and aridland ecosystems are known to be highly sensitive to such climate variability. Despite great heterogeneity, arid ecosystems are united by a key parameter: a limitation in water availability. This characteristic may help to uncover unifying aspects of dryland soil responses to global change.

The dryness of an ecosystem can be described by its aridity index (AI). Several AIs have been proposed, but the most widely used metrics determine the difference between average precipitation and potential evapotranspiration, where evapotranspiration is the sum of evaporation and plant transpiration, both of which move water from the ecosystem to the atmosphere [7–9]. Because evapotranspiration can be affected by various environmental factors such as temperature and incident radiation (Fig. 10.1), regions that receive the same average precipitation may have significantly different AI values [10,11]. Multiple studies have documented that mean annual precipitation, and thus AI, is highly correlated with biological diversity and net primary productivity [12–15]. Accordingly, AI is considered to be a central regulator of the diversity, structure, and productivity of an ecosystem, playing an especially influential role in arid ecosystems. Thus, the climate parameters that drive alterations in the AI of a region are likely to play an disproportionate role in shaping the response of arid soil communities to a changing climate. In this chapter we consider climate parameters that have been shown to be altered through climate change, with a focus on how these parameters are likely to affect dryland soil communities, including microorganisms and invertebrates. In particular, our goal is to highlight dryland soil community structure and function in the context of climate change, and we will focus on community relationships with increased atmospheric CO2 concentrations (a primary driver of climate change), temperature, and sources of soil moisture.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The biology of arid soils","language":"English","publisher":"De Gruyter","doi":"10.1515/9783110419047-008","usgsCitation":"Steven, B., McHugh, T.A., and Reed, S.C., 2017, The response of arid soil communities to climate change: Chapter 8, chap. of The biology of arid soils, p. 139-158, https://doi.org/10.1515/9783110419047-008.","productDescription":"20 p.","startPage":"139","endPage":"158","ipdsId":"IP-076037","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":351494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f6","contributors":{"authors":[{"text":"Steven, Blaire","contributorId":197800,"corporation":false,"usgs":false,"family":"Steven","given":"Blaire","email":"","affiliations":[],"preferred":false,"id":714345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHugh, Theresa Ann","contributorId":197801,"corporation":false,"usgs":false,"family":"McHugh","given":"Theresa","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":714346,"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":714344,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192762,"text":"70192762 - 2017 - Guidance documents: Continued support to improve operations of fish hatcheries and field sites to reduce the impact or prevent establishment of New Zealand Mudsnails and other invasive mollusks","interactions":[],"lastModifiedDate":"2018-01-26T16:23:51","indexId":"70192762","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-124-2017","title":"Guidance documents: Continued support to improve operations of fish hatcheries and field sites to reduce the impact or prevent establishment of New Zealand Mudsnails and other invasive mollusks","docAbstract":"

This project tested and revised a risk assessment/management tool authored by Moffitt and Stockton designed to provide hatchery biologists and others a structure to measure risk and provide tools to control, prevent or eliminate invasive New Zealand mudsnails (NZMS) and other invasive mollusks in fish hatcheries and hatchery operations. The document has two parts: the risk assessment tool, and an appendix that summarizes options for control or management.

The framework of the guidance document for risk assessment/hatchery tool combines approaches used by the Hazard Analysis and Critical Control Points (HACCP) process with those developed by the Commission for Environmental Cooperation (CEC), of Canada, Mexico, and the United States, in the Tri-National Risk Assessment Guidelines for Aquatic Alien Invasive Species. The framework approach for this attached first document assesses risk potential with two activities: probability of infestation and consequences of infestation. Each activity is treated equally to determine the risk potential. These two activities are divided into seven basic elements that utilize scientific, technical, and other relevant information in the process of the risk assessment. To determine the probability of infestation four steps are used that have scores reported or determined and averaged. This assessment follows a familiar HACCP process to assess pathways of entry, entry potential, colonization potential, spread potential. The economic, environmental and social consequences are considered as economic impact, environmental impact, and social and cultural influences.

To test this document, the Principal Investigator worked to identify interested hatchery managers through contacts at regional aquaculture meetings, fish health meetings, and through the network of invasive species managers and scientists participating in the Western Regional Panel on Aquatic Nuisance Species and the 100th Meridian Initiative's Columbia River Basin Team, and the Western New Zealand Mudsnail Conference in Seattle. Targeted hatchery workshops were conducted with staff at Dworshak National Fish Hatchery Complex (ID), Similkameen Pond, Oroville WA, and Ringold Springs State Hatchery (WA).

As a result of communications with hatchery staff, invasive species managers, and on site assessments of hatchery facilities, the document was modified and enhanced. Additional resources were added to keep it up to date. The result is a more simplified tool that can lead hatchery or management personnel through the process of risk assessment and provide an introduction to the risk management and communication process.

In addition to the typical HACCP processes, this tool adds steps to rate and consider uncertainty and the weight of evidence regarding options and monitoring results . Uncertainty of outcome exists in most tools that can be used to control or prevent NZMS or other invasive mollusks from infesting an area. In additional this document emphasizes that specific control tools and plans must be tailored to each specific setting to consider the economic, environmental and social influences. From the testing and evaluation process, there was a strong recognition that a number of control and prevention tools previously suggested and reported in the literature from laboratory and small scale trials may not be compatible with regional and national regulations, economic constraints, social or cultural constraints, engineering or water chemistry characteristics of each facility.

The options for control are summarized in the second document, Review of Control Measures for Hatcheries Infested with NZMS (Appendix A) that provides sources for additional resources and specific tools, and guidance regarding the feasibility and success of each approach. This tool also emphasizes that management plans need to be adaptive and incorporate oversight from professionals familiar with measuring risks of fish diseases, and treatments (e.g. the fish health practitioners and water quality and effluent management teams). Finally, with such a team, the adaptive management approach must be ongoing, and become a regular component of hatchery operations.

Although it was the intent that this two part document would be included as part of the revised National Management and Control Plan for the NZMS proposed by the U.S. Fish and Wildlife Service (USFWS) and others, it is provided as a stand-alone document.

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Moffitt, C.M., 2017, Guidance documents: Continued support to improve operations of fish hatcheries and field sites to reduce the impact or prevent establishment of New Zealand Mudsnails and other invasive mollusks: Cooperator Science Series FWS/CSS-124-2017, iv, 62 p.","productDescription":"iv, 62 p.","numberOfPages":"68","ipdsId":"IP-083301","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350723,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2189"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c95e4b06e28e9cabb02","contributors":{"authors":[{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716851,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192455,"text":"70192455 - 2017 - Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl","interactions":[],"lastModifiedDate":"2019-06-04T08:40:19","indexId":"70192455","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl","docAbstract":"

Wildlife researchers frequently study resource and habitat selection of wildlife to understand their potential habitat requirements and to conserve their populations. Understanding wildlife spatial-temporal distributions related to habitat have other applications such as to model interfaces between wildlife and domestic food animals in order to mitigate disease transmission to food animals. The highly pathogenic avian influenza (HPAI) virus represents a significant risk to the poultry industry. The Central Valley of California offers a unique geographical confluence of commercial poultry and wild waterfowl, which are thought to be a key reservoir of avian influenza (AI). Therefore, understanding spatio-temporal distributions of waterfowl could improve our understanding of potential risk of HPAI exposure from a commercial poultry perspective. Using existing radio-telemetry data on waterfowl (U.S. Geological Survey) in combination with habitat and vegetation data based on Geographic Information Systems (GIS), we are developing GIS-based statistical models that predict the probability of waterfowl presence (Habitat Suitability Mapping). Near-real-time application can be developed using recent habitat data derived from Landsat imagery (acquired by satellites and publicly available through the U.S. Geological Survey) to predict temporally- and spatially-varying distributions of waterfowl in the Central Valley. These results could be used to provide decision support for the poultry industry in addressing potential risk of HPAI exposure related to waterfowl proximity.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Sixty-Sixth Western Poultry Disease Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Sixty-Sixth Western Poultry Disease Conference","conferenceDate":"March 20-22, 2017","conferenceLocation":"Sacramento, California","language":"English","publisher":"Western Poutlry Disease Conference","usgsCitation":"Matchett, E., Casazza, M.L., Fleskes, J.P., Kelman, T., Cadena, M., and Pitesky, M., 2017, Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl, in Proceedings of the Sixty-Sixth Western Poultry Disease Conference, Sacramento, California, March 20-22, 2017, p. 118-120.","productDescription":"3 p.","startPage":"118","endPage":"120","ipdsId":"IP-083273","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":352033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364313,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://aaap.memberclicks.net/wpdc-proceedings"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f0","contributors":{"authors":[{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelman, T.","contributorId":198390,"corporation":false,"usgs":false,"family":"Kelman","given":"T.","email":"","affiliations":[],"preferred":false,"id":715918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadena, M.","contributorId":198391,"corporation":false,"usgs":false,"family":"Cadena","given":"M.","email":"","affiliations":[],"preferred":false,"id":715919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitesky, M.","contributorId":198392,"corporation":false,"usgs":false,"family":"Pitesky","given":"M.","affiliations":[],"preferred":false,"id":715920,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192519,"text":"70192519 - 2017 - Mapping tree canopy cover in support of proactive prairie grouse conservation in western North America","interactions":[],"lastModifiedDate":"2017-10-26T13:39:12","indexId":"70192519","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Mapping tree canopy cover in support of proactive prairie grouse conservation in western North America","docAbstract":"

Invasive woody plant expansion is a primary threat driving fragmentation and loss of sagebrush (Artemisia spp.) and prairie habitats across the central and western United States. Expansion of native woody plants, including conifer (primarily Juniperus spp.) and mesquite (Prosopis spp.), over the past century is primarily attributable to wildfire suppression, historic periods of intensive livestock grazing, and changes in climate. To guide successful conservation programs aimed at reducing top-down stressors, we mapped invasive woody plants at regional scales to evaluate landscape level impacts, target restoration actions, and monitor restoration outcomes. Our overarching goal was to produce seamless regional products across sociopolitical boundaries with resolution fine enough to depict the spatial extent and degree of woody plant invasion relevant to greater sage-grouse (Centrocercus urophasianus) and lesser prairie-chicken (Tympanuchus pallidicinctus)conservation efforts. We mapped tree canopy cover at 1-m spatial resolution across an 11-state region (508 265 km2). Greater than 90% of occupied lesser prairie-chicken habitat was largely treeless for conifers (< 1% canopy cover), whereas > 67% was treeless for mesquite. Conifers in the higher canopy cover classes (16 − 50% and > 50% canopy cover) were scarce (< 2% and 1% canopy cover), as was mesquite (< 5% and 1% canopy cover). Occupied habitat by sage-grouse was more variable but also had a relatively large proportion of treeless areas (x&#x2212;\">x− = 71, SE = 5%). Low to moderate levels of conifer cover (1 − 20%) were fewer (x&#x2212;\">x− = 23, SE = 5%) as were areas in the highest cover class (> 50%; x&#x2212;\">x−= 6, SE = 2%). Mapping indicated that a high proportion of invading woody plants are at a low to intermediate level. Canopy cover maps for conifer and mesquite resulting from this study provide the first and most geographically complete, high-resolution assessment of woody plant cover as a top-down threat to western sage-steppe and prairie ecosystems.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2016.08.002","usgsCitation":"Falkowski, M.J., Evans, J.S., Naugle, D.E., Hagen, C.A., Carleton, S.A., Maestas, J.D., Henareh Khalyani, A., Poznanovic, A.J., and Lawrence, A.J., 2017, Mapping tree canopy cover in support of proactive prairie grouse conservation in western North America: Rangeland Ecology and Management, v. 70, no. 1, p. 15-24, https://doi.org/10.1016/j.rama.2016.08.002.","productDescription":"10 p.","startPage":"15","endPage":"24","ipdsId":"IP-073817","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482068,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2016.08.002","text":"Publisher Index Page"},{"id":347477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e953e4b09af898c8cc11","contributors":{"authors":[{"text":"Falkowski, Michael J.","contributorId":198547,"corporation":false,"usgs":false,"family":"Falkowski","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Jeffrey S.","contributorId":171756,"corporation":false,"usgs":false,"family":"Evans","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":716382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naugle, David E.","contributorId":82837,"corporation":false,"usgs":true,"family":"Naugle","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagen, Christian A.","contributorId":177795,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carleton, Scott A. 0000-0001-9609-650X scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maestas, Jeremy D.","contributorId":117298,"corporation":false,"usgs":true,"family":"Maestas","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":716385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Henareh Khalyani, Azad","contributorId":194189,"corporation":false,"usgs":false,"family":"Henareh Khalyani","given":"Azad","email":"","affiliations":[],"preferred":false,"id":716386,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poznanovic, Aaron J.","contributorId":198548,"corporation":false,"usgs":false,"family":"Poznanovic","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716387,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lawrence, Andrew J.","contributorId":198549,"corporation":false,"usgs":false,"family":"Lawrence","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716388,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70189155,"text":"70189155 - 2017 - Drivers of Holocene sea-level change in the Caribbean","interactions":[],"lastModifiedDate":"2017-07-03T09:49:56","indexId":"70189155","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of Holocene sea-level change in the Caribbean","docAbstract":"We present a Holocene relative sea-level (RSL) database for the Caribbean region (5°N to 25°N and 55°W to 90°W) that consists of 499 sea-level index points and 238 limiting dates. The database was compiled from multiple sea-level indicators (mangrove peat, microbial mats, beach rock and acroporid and massive corals). We subdivided the database into 20 regions to investigate the influence of tectonics and glacial isostatic adjustment on RSL. We account for the local-scale processes of sediment compaction and tidal range change using the stratigraphic position (overburden thickness) of index points and paleotidal modeling, respectively. We use a spatio-temporal empirical hierarchical model to estimate RSL position and its rates of change in the Caribbean over 1-ka time slices. Because of meltwater input, the rates of RSL change were highest during the early Holocene, with a maximum of 10.9 ± 0.6 m/ka in Suriname and Guyana and minimum of 7.4 ± 0.7 m/ka in south Florida from 12 to 8 ka. Following complete deglaciation of the Laurentide Ice Sheet (LIS) by ∼7 ka, mid-to late-Holocene rates slowed to < 2.4 ± 0.4 m/ka. The hierarchical model constrains the spatial extent of the mid-Holocene highstand. RSL did not exceed the present height during the Holocene, except on the northern coast of South America, where in Suriname and Guyana, RSL attained a height higher than present by 6.6 ka (82% probability). The highstand reached a maximum elevation of +1.0 ± 1.1 m between 5.3 and 5.2 ka. Regions with a highstand were located furthest away from the former LIS, where the effects from ocean syphoning and hydro-isostasy outweigh the influence of subsidence from forebulge collapse.","language":"English","publisher":"Elesvier","doi":"10.1016/j.quascirev.2016.08.032","usgsCitation":"Khan, N., Ashe, E., Horton, B.P., Dutton, A., Kopp, R.E., Brocard, G., Engelhart, S.E., Hill, D.F., Peltier, W., Vane, C.H., and Scatena, F.N., 2017, Drivers of Holocene sea-level change in the Caribbean: Quaternary Science Reviews, v. 155, p. 13-36, https://doi.org/10.1016/j.quascirev.2016.08.032.","productDescription":"24","startPage":"13","endPage":"36","ipdsId":"IP-076202","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488813,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1320615","text":"External Repository"},{"id":343272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Caribbean Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.98828124999997,\n 3.0308121226643703\n ],\n [\n -54.79980468749997,\n 3.0308121226643703\n ],\n [\n -54.316406249999986,\n 27.60567082646542\n ],\n [\n -73.69628906249997,\n 27.72243591897343\n ],\n [\n -92.63671874999997,\n 27.332735136859146\n ],\n [\n -92.98828124999997,\n 3.0308121226643703\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"155","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595b5797e4b0d1f9f0536db4","contributors":{"authors":[{"text":"Khan, Nicole 0000-0002-9845-1103 nkhan@usgs.gov","orcid":"https://orcid.org/0000-0002-9845-1103","contributorId":194111,"corporation":false,"usgs":true,"family":"Khan","given":"Nicole","email":"nkhan@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":703244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashe, Erica","contributorId":194112,"corporation":false,"usgs":false,"family":"Ashe","given":"Erica","affiliations":[],"preferred":false,"id":703245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Benjamin P.","contributorId":192807,"corporation":false,"usgs":false,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false},{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":703246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dutton, Andrea","contributorId":194113,"corporation":false,"usgs":false,"family":"Dutton","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":703247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kopp, Robert E.","contributorId":194114,"corporation":false,"usgs":false,"family":"Kopp","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":703248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brocard, Gilles","contributorId":194115,"corporation":false,"usgs":false,"family":"Brocard","given":"Gilles","affiliations":[],"preferred":false,"id":703249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":703250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hill, David F.","contributorId":194116,"corporation":false,"usgs":false,"family":"Hill","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":703251,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peltier, W.R.","contributorId":194117,"corporation":false,"usgs":false,"family":"Peltier","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":703252,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vane, Christopher H.","contributorId":192893,"corporation":false,"usgs":false,"family":"Vane","given":"Christopher","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":703253,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Scatena, Fred N.","contributorId":194118,"corporation":false,"usgs":false,"family":"Scatena","given":"Fred","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":703254,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70191428,"text":"70191428 - 2017 - Disentangling the complexities of how legumes and their symbionts regulate plant nitrogen access and storage","interactions":[],"lastModifiedDate":"2017-10-11T14:19:05","indexId":"70191428","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","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":"Disentangling the complexities of how legumes and their symbionts regulate plant nitrogen access and storage","docAbstract":"
Nitrogen (N) availability strongly influences the structure and function of ecosystems (e.g. Vitousek & Howarth, 1991), but only a relatively small number of microbial groups have the ability to convert the N2 in our atmosphere into biologically available forms.This process, N2 fixation, is the dominant source of new N to the biosphere outside of anthropogenic inputs (Vitousek et al., 2013).Some N2-fixing microorganisms live independently on plant leaves, on decomposing organic material, and in soil (Reed et al.,2011), while others have co-evolved with a few higher plant taxa to form symbioses that fix N2 in root nodules (e.g. Sprent & Raven,1985). The relationship between these legumes and their root nodule symbionts (rhizobia) is one of the most well studied plant –microbe symbioses. Yet, many important questions about the controls, interactions, and implications of legume N2 fixation remain unanswered. In this issue of New Phytologist (pp. 690–699),Wolf, Funk, & Menge elegantly address a fundamental set of questions about N2 fixation in their examination of how herbaceous legumes, their symbionts, and external N availability interact to govern legume access and storage of N.
","language":"English","publisher":"New Phytologist Trust","doi":"10.1111/nph.14390","usgsCitation":"Reed, S.C., 2017, Disentangling the complexities of how legumes and their symbionts regulate plant nitrogen access and storage: New Phytologist, v. 213, no. 2, p. 478-480, https://doi.org/10.1111/nph.14390.","productDescription":"3 p.","startPage":"478","endPage":"480","ipdsId":"IP-081395","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":487163,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.14390","text":"Publisher Index Page"},{"id":346510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"213","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-21","publicationStatus":"PW","scienceBaseUri":"59defc7ae4b05fe04ccd3d62","contributors":{"authors":[{"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":712212,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192891,"text":"70192891 - 2017 - What can volunteer angler tagging data tell us about the status of the Giant Trevally (ulua aukea) Caranx ignobilis fishery in Hawaii: revisiting data collected during Hawaii’s Ulua and Papio Tagging Project 2000-2016","interactions":[],"lastModifiedDate":"2018-01-26T11:52:21","indexId":"70192891","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-126-2017","title":"What can volunteer angler tagging data tell us about the status of the Giant Trevally (ulua aukea) Caranx ignobilis fishery in Hawaii: revisiting data collected during Hawaii’s Ulua and Papio Tagging Project 2000-2016","docAbstract":"

Giant Trevally (ulua aukea) Caranx ignobilis is one of the most highly prized and frequently
targeted nearshore species. However, there is very little information on its current status in
Hawaiian waters. This study uses mark-recapture data collected as part of recreational angler
tagging program conducted by the Hawaii Department of Land and Natural Resources-Division
of Aquatic Resources during 2000-2012. Mark-recapture data were used to estimate von
Bertalanffy growth curve parameters and survivorship. Growth curves generated from the markrecapture
data suggested that Giant Trevally from the main Hawaiian Islands may be growing
faster and reach a smaller maximum size than individuals in the Northwest Hawaiian Islands, but
there are a number of issues rendering this conclusion uncertain. The survivorship of Giant
Trevally was positively associated with age, in part due to ontogenetic habitat shifts that result in
older fish moving to offshore habitats where they are less vulnerable to anglers. When compared
to stock assessments performed using commercial landings data and fisheries-independent visual
surveys, the mark-recapture data produced similar estimates for the average length of exploited
fish, a metric highly negatively correlated to fishing mortality. These results emphasize the need
for additional information on the biology of Giant Trevally in Hawaiian waters and suggest that
the data collected from this recreational angler tagging program may be useful to generate
reliable estimates of mortality for stock assessment purposes.

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Grabowski, T.B., and Franklin, E.C., 2017, What can volunteer angler tagging data tell us about the status of the Giant Trevally (ulua aukea) Caranx ignobilis fishery in Hawaii: revisiting data collected during Hawaii’s Ulua and Papio Tagging Project 2000-2016: Cooperator Science Series FWS/CSS-126-2017, ii, 26 p.","productDescription":"ii, 26 p.","numberOfPages":"28","ipdsId":"IP-087902","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350659,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350657,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2198"}],"country":"United States","state":"Hawaii","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c94e4b06e28e9cabafc","contributors":{"authors":[{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Franklin, Erik C.","contributorId":94780,"corporation":false,"usgs":true,"family":"Franklin","given":"Erik","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":725902,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193964,"text":"70193964 - 2017 - Ecosystem extent and fragmentation","interactions":[],"lastModifiedDate":"2017-12-01T10:08:01","indexId":"70193964","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Ecosystem extent and fragmentation","docAbstract":"

One of the candidate essential biodiversity variable (EBV) groups described in the seminal paper by Pereira et al. (2014) concerns Ecosystem Structure. This EBV group is distinguished from another EBV group which encompasses aspects of Ecosystem Function. While the Ecosystem Function EBV treats ecosystem processes like nutrient cycling, primary production, trophic interactions, etc., the Ecosystem Structure EBV relates to the set of biophysical properties of ecosystems that create biophysical environmental context, confer biophysical structure, and occur geographically. The Ecosystem Extent and Fragmentation EBV is one of the EBVs in the Ecosystem Structure EBV group.

Ecosystems are understood to exist at multiple scales, from very large areas (macro-ecosystems) like the Arctic tundra, for example, to something as small as a tree in an Amazonian rain forest. As such, ecosystems occupy space and therefore can be mapped across any geography of interest, whether that area of interest be a site, a nation, a region, a continent, or the planet. One of the most obvious and seemingly straightforward EBVs is Ecosystem Extent and Fragmentation. Ecosystem extent refers to the location and geographic distribution of ecosystems across landscapes or in the oceans, while ecosystem fragmentation refers to the spatial pattern and connectivity of ecosystem occurrences on the landscape.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A sourcebook of methods and procedures for monitoring essential biodiversity variables in tropical forests with remote sensing","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Global Observation of Forest Cover and Land Dynamics","usgsCitation":"Sayre, R., and Hansen, M., 2017, Ecosystem extent and fragmentation, 7 p.","productDescription":"7 p.","startPage":"60","endPage":"66","ipdsId":"IP-082059","costCenters":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"links":[{"id":349612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349611,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gofcgold.wur.nl/sites/gofcgold-geobon_biodiversitysourcebook.php"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23be9","contributors":{"authors":[{"text":"Sayre, Roger 0000-0001-6703-7105 rsayre@usgs.gov","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":191629,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","email":"rsayre@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":721739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Matt","contributorId":61330,"corporation":false,"usgs":true,"family":"Hansen","given":"Matt","email":"","affiliations":[],"preferred":false,"id":721740,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196710,"text":"70196710 - 2017 - Effect of N fertilization and tillage on nitrous oxide (N2O) loss from soil under wheat production","interactions":[],"lastModifiedDate":"2018-04-26T17:06:39","indexId":"70196710","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"displayTitle":"Effect of N fertilization and tillage on nitrous oxide (N2O) loss from soil under wheat production","title":"Effect of N fertilization and tillage on nitrous oxide (N2O) loss from soil under wheat production","docAbstract":"Nitrous oxide (N2O-N) is one of the most important gases in the atmosphere because it is 300 times more powerful than carbon dioxide in its ability to trap heat, and is a key chemical agent of ozone depletion. The amount of N2O-N emitted from agricultural fields can be quite high, depending on the complex interplay between N fertility and residue management, plant N uptake, microbial processes, environmental conditions, and wet-up and dry-down events. High N fertilizer rates generally increase yields, but may disproportionately increase N2O-N losses due to prolonged residence time in soil when not used by the crop, and incomplete decomposition of excess N-compounds by microbes. Tillage could also affect N2O-N losses through changes in soil moisture content. Though nitrogen monoxide (NO) is one form of N lost from the soil, especially under conventional tillage, this study objective was to quantify N2O loss in wheat fields from applied urea on soil under no-till (NT) versus incorporated urea under conventional till (CT).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Carrington Research Extension Center Annual Report, A report of agricultural research and extension in central North Dakota, Vol 58","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"North Dakota State University","usgsCitation":"Bansal, S., Aberle, E., Teboh, J., Yuja, S., Liebig, M., Meier, J., and Boyd, A., 2017, Effect of N fertilization and tillage on nitrous oxide (N2O) loss from soil under wheat production, 2 p.","productDescription":"2 p.","startPage":"20","endPage":"21","ipdsId":"IP-092627","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":353761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353760,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.ag.ndsu.edu/CarringtonREC/documents/annual-reports/2017-annual-report#page=21"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4c8","contributors":{"authors":[{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":734073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aberle, Ezra","contributorId":204469,"corporation":false,"usgs":false,"family":"Aberle","given":"Ezra","email":"","affiliations":[{"id":12459,"text":"NDSU","active":true,"usgs":false}],"preferred":false,"id":734074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teboh, Jasper","contributorId":204470,"corporation":false,"usgs":false,"family":"Teboh","given":"Jasper","email":"","affiliations":[{"id":12459,"text":"NDSU","active":true,"usgs":false}],"preferred":false,"id":734075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yuja, Szilvia","contributorId":204471,"corporation":false,"usgs":false,"family":"Yuja","given":"Szilvia","email":"","affiliations":[{"id":12459,"text":"NDSU","active":true,"usgs":false}],"preferred":false,"id":734076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liebig, Mark","contributorId":146788,"corporation":false,"usgs":false,"family":"Liebig","given":"Mark","email":"","affiliations":[],"preferred":false,"id":734077,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meier, Jacob 0000-0002-8822-8434","orcid":"https://orcid.org/0000-0002-8822-8434","contributorId":204473,"corporation":false,"usgs":true,"family":"Meier","given":"Jacob","email":"","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":734079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boyd, Alec 0000-0003-2661-4126","orcid":"https://orcid.org/0000-0003-2661-4126","contributorId":204472,"corporation":false,"usgs":false,"family":"Boyd","given":"Alec","email":"","affiliations":[{"id":36944,"text":"Former employee at Northern Prairie Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":734078,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70190212,"text":"70190212 - 2017 - Imaging of earthquake faults using small UAVs as a pathfinder for air and space observations","interactions":[],"lastModifiedDate":"2017-08-23T08:33:34","indexId":"70190212","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Imaging of earthquake faults using small UAVs as a pathfinder for air and space observations","docAbstract":"Large earthquakes cause billions of dollars in damage and extensive loss of life and property. Geodetic and topographic imaging provide measurements of transient and long-term crustal deformation needed to monitor fault zones and understand earthquakes. Earthquake-induced strain and rupture characteristics are expressed in topographic features imprinted on the landscapes of fault zones. Small UAVs provide an efficient and flexible means to collect multi-angle imagery to reconstruct fine scale fault zone topography and provide surrogate data to determine requirements for and to simulate future platforms for air- and space-based multi-angle imaging.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2017 IEEE Aerospace Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2017 IEEE Aerospace Conference ","conferenceDate":"March 4-11, 2017","conferenceLocation":"Big Sky, MT","language":"English","publisher":"Institute of Electrical and Electronics Engineers","doi":"10.1109/AERO.2017.7943605","isbn":"978-1-5090-1613-6 ","usgsCitation":"Donnellan, A., Green, J., Ansar, A., Aletky, J., Glasscoe, M., Ben-Zion, Y., Arrowsmith, J.R., and DeLong, S.B., 2017, Imaging of earthquake faults using small UAVs as a pathfinder for air and space observations, in 2017 IEEE Aerospace Conference Proceedings, Big Sky, MT, March 4-11, 2017, https://doi.org/10.1109/AERO.2017.7943605.","ipdsId":"IP-081475","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":345039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9446e4b04935557fe9b5","contributors":{"authors":[{"text":"Donnellan, Andrea","contributorId":176745,"corporation":false,"usgs":false,"family":"Donnellan","given":"Andrea","email":"","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":708004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Joseph","contributorId":195737,"corporation":false,"usgs":false,"family":"Green","given":"Joseph","email":"","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":708005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ansar, Adnan","contributorId":195738,"corporation":false,"usgs":false,"family":"Ansar","given":"Adnan","email":"","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":708006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aletky, Joseph","contributorId":195739,"corporation":false,"usgs":false,"family":"Aletky","given":"Joseph","email":"","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":708007,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glasscoe, Margaret","contributorId":195740,"corporation":false,"usgs":false,"family":"Glasscoe","given":"Margaret","email":"","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":708008,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ben-Zion, Yehuda","contributorId":195741,"corporation":false,"usgs":false,"family":"Ben-Zion","given":"Yehuda","email":"","affiliations":[{"id":16177,"text":"University of Southern California, Los Angeles, Ca.","active":true,"usgs":false}],"preferred":false,"id":708010,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arrowsmith, J. Ramon","contributorId":80209,"corporation":false,"usgs":false,"family":"Arrowsmith","given":"J.","email":"","middleInitial":"Ramon","affiliations":[{"id":24511,"text":"Arizona State University, Tempe AZ USA 85287","active":true,"usgs":false}],"preferred":false,"id":708243,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":708244,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70187104,"text":"70187104 - 2017 - Influence of repeated prescribed fire on tree growth and mortality in Pinus resinosa forests, northern Minnesota","interactions":[],"lastModifiedDate":"2017-04-25T10:29:31","indexId":"70187104","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1688,"text":"Forest Science","active":true,"publicationSubtype":{"id":10}},"title":"Influence of repeated prescribed fire on tree growth and mortality in Pinus resinosa forests, northern Minnesota","docAbstract":"

Prescribed fire is widely used for ecological restoration and fuel reduction in fire-dependent ecosystems, most of which are also prone to drought. Despite the importance of drought in fire-adapted forests, little is known about cumulative effects of repeated prescribed burning on tree growth and related response to drought. Using dendrochronological data in red pine (Pinus resinosa Ait.)-dominated forests in northern Minnesota, USA, we examined growth responses before and after understory prescribed fires between 1960 and 1970, to assess whether repeated burning influences growth responses of overstory trees and vulnerability of overstory tree growth to drought. We found no difference in tree-level growth vulnerability to drought, expressed as growth resistance, resilience, and recovery, between areas receiving prescribed fire treatments and untreated forests. Annual mortality rates during the period of active burning were also low (less than 2%) in all treatments. These findings indicate that prescribed fire can be effectively integrated into management plans and climate change adaptation strategies for red pine forest ecosystems without significant short- or long-term negative consequences for growth or mortality rates of overstory trees.

","language":"English","publisher":"Society of American Foresters (SAF)","doi":"10.5849/forsci.16-035","usgsCitation":"Bottero, A., D’Amato, A.W., Palik, B.J., Kern, C.C., Bradford, J.B., and Scherer, S.S., 2017, Influence of repeated prescribed fire on tree growth and mortality in Pinus resinosa forests, northern Minnesota: Forest Science, v. 63, no. 1, p. 94-100, https://doi.org/10.5849/forsci.16-035.","productDescription":"7 p.","startPage":"94","endPage":"100","ipdsId":"IP-063609","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470175,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5849/forsci.16-035","text":"Publisher Index Page"},{"id":340107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","volume":"63","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006063e4b0e85db3a5ddd3","contributors":{"authors":[{"text":"Bottero, Alessandra 0000-0002-0410-2675","orcid":"https://orcid.org/0000-0002-0410-2675","contributorId":190300,"corporation":false,"usgs":false,"family":"Bottero","given":"Alessandra","email":"","affiliations":[],"preferred":false,"id":692442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false},{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":692443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palik, Brian J.","contributorId":190301,"corporation":false,"usgs":false,"family":"Palik","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":692444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kern, Christel C.","contributorId":191240,"corporation":false,"usgs":false,"family":"Kern","given":"Christel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":692446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":692441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scherer, Sawyer S.","contributorId":191239,"corporation":false,"usgs":false,"family":"Scherer","given":"Sawyer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":692445,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70186169,"text":"70186169 - 2017 - Summer habitat selection by Dall’s sheep in Wrangell-St. Elias National Park and Preserve, Alaska","interactions":[],"lastModifiedDate":"2017-03-30T15:13:22","indexId":"70186169","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Summer habitat selection by Dall’s sheep in Wrangell-St. Elias National Park and Preserve, Alaska","docAbstract":"

Sexual segregation occurs frequently in sexually dimorphic species, and it may be influenced by differential habitat requirements between sexes or by social or evolutionary mechanisms that maintain separation of sexes regardless of habitat selection. Understanding the degree of sex-specific habitat specialization is important for management of wildlife populations and the design of monitoring and research programs. Using mid-summer aerial survey data for Dall’s sheep (Ovis dalli dalli) in southern Alaska during 1983–2011, we assessed differences in summer habitat selection by sex and reproductive status at the landscape scale in Wrangell-St. Elias National Park and Preserve (WRST). Males and females were highly segregated socially, as were females with and without young. Resource selection function (RSF) models containing rugged terrain, intermediate values of the normalized difference vegetation index (NDVI), and open landcover types best explained resource selection by each sex, female reproductive classes, and all sheep combined. For male and all female models, most coefficients were similar, suggesting little difference in summer habitat selection between sexes at the landscape scale. A combined RSF model therefore may be used to predict the relative probability of resource selection by Dall’s sheep in WRST regardless of sex or reproductive status.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyw135","usgsCitation":"Roffler, G.H., Adams, L., and Hebblewhite, M., 2017, Summer habitat selection by Dall’s sheep in Wrangell-St. Elias National Park and Preserve, Alaska: Journal of Mammalogy, v. 98, no. 1, p. 94-105, https://doi.org/10.1093/jmammal/gyw135.","productDescription":"12 p.","startPage":"94","endPage":"105","ipdsId":"IP-060082","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyw135","text":"Publisher Index Page"},{"id":338838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"98","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-17","publicationStatus":"PW","scienceBaseUri":"58de194fe4b02ff32c699ca1","chorus":{"doi":"10.1093/jmammal/gyw135","url":"http://dx.doi.org/10.1093/jmammal/gyw135","publisher":"Oxford University Press (OUP)","authors":"Roffler Gretchen H., Adams Layne G., Hebblewhite Mark","journalName":"Journal of Mammalogy","publicationDate":"9/17/2016"},"contributors":{"authors":[{"text":"Roffler, Gretchen H. groffler@usgs.gov","contributorId":1946,"corporation":false,"usgs":true,"family":"Roffler","given":"Gretchen","email":"groffler@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":687742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":687741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hebblewhite, Mark","contributorId":190188,"corporation":false,"usgs":false,"family":"Hebblewhite","given":"Mark","email":"","affiliations":[],"preferred":false,"id":687743,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186331,"text":"70186331 - 2017 - Improved vertical streambed flux estimation using multiple diurnal temperature methods in series","interactions":[],"lastModifiedDate":"2018-08-07T12:09:56","indexId":"70186331","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Improved vertical streambed flux estimation using multiple diurnal temperature methods in series","docAbstract":"

Analytical solutions that use diurnal temperature signals to estimate vertical fluxes between groundwater and surface water based on either amplitude ratios (Ar) or phase shifts (Δϕ) produce results that rarely agree. Analytical solutions that simultaneously utilize Ar and Δϕ within a single solution have more recently been derived, decreasing uncertainty in flux estimates in some applications. Benefits of combined (ArΔϕ) methods also include that thermal diffusivity and sensor spacing can be calculated. However, poor identification of either Ar or Δϕ from raw temperature signals can lead to erratic parameter estimates from ArΔϕ methods. An add-on program for VFLUX 2 is presented to address this issue. Using thermal diffusivity selected from an ArΔϕ method during a reliable time period, fluxes are recalculated using an Ar method. This approach maximizes the benefits of the Ar and ArΔϕ methods. Additionally, sensor spacing calculations can be used to identify periods with unreliable flux estimates, or to assess streambed scour. Using synthetic and field examples, the use of these solutions in series was particularly useful for gaining conditions where fluxes exceeded 1 m/d.

","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12436","usgsCitation":"Irvine, D.J., Briggs, M.A., Cartwright, I., Scruggs, C.R., and Lautz, L.K., 2017, Improved vertical streambed flux estimation using multiple diurnal temperature methods in series: Groundwater, v. 55, no. 1, p. 73-80, https://doi.org/10.1111/gwat.12436.","productDescription":"8 p.","startPage":"73","endPage":"80","ipdsId":"IP-074583","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":339119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-22","publicationStatus":"PW","scienceBaseUri":"58e4b0b2e4b09da67999777f","contributors":{"authors":[{"text":"Irvine, Dylan J.","contributorId":190404,"corporation":false,"usgs":false,"family":"Irvine","given":"Dylan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":688352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":688351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cartwright, Ian","contributorId":190405,"corporation":false,"usgs":false,"family":"Cartwright","given":"Ian","affiliations":[],"preferred":false,"id":688353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scruggs, Courtney R. 0000-0002-1744-3233 cscruggs@usgs.gov","orcid":"https://orcid.org/0000-0002-1744-3233","contributorId":190406,"corporation":false,"usgs":true,"family":"Scruggs","given":"Courtney","email":"cscruggs@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":688354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lautz, Laura K.","contributorId":124523,"corporation":false,"usgs":false,"family":"Lautz","given":"Laura","email":"","middleInitial":"K.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":688355,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186374,"text":"70186374 - 2017 - Lake Ontario benthic prey fish assessment, 2016","interactions":[],"lastModifiedDate":"2023-05-09T14:19:32.679693","indexId":"70186374","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2016","chapter":"12b","title":"Lake Ontario benthic prey fish assessment, 2016","docAbstract":"Benthic prey fishes are a critical component of the Lake Ontario food web, serving as energy vectors from benthic invertebrates to native and introduced piscivores. Beginning in 1978, Lake Ontario benthic prey fishes were assessed using bottom trawls collected from the lake’s south shore (depth range: 8 – 150 m). Historically, the survey targeted the then dominant species, Slimy Sculpin, however in 2015, the Benthic Prey Fish Survey was cooperatively expanded to a whole-lake survey, to address resource management information needs related to Round Goby, Deepwater Sculpin, and nearshore native fishes. In 2016, 142 trawls were collected at 18 transects, and spanned depths from 6 – 225 m. Trawl catches indicated the benthic and demersal prey fish community was dominated by Round Goby, however the proportional importance of native Deepwater Sculpin is increasing. Species-specific assessments found lake-wide Round Goby density (~600 fish per hectare) was slightly lower in 2016 relative to 2015. Deepwater Sculpin density has generally increased since 2004. In 2016 their estimated density was greater than 100 fish per hectare. Slimy Sculpin density (15 fish/ha) was similar to the past 3 years. Catches of juvenile Slimy Sculpin continue to be low relative to historic catches and the timing of their decline coincides with the proliferation of Round Goby. Additionally, we found a strong negative relationship between trawl catches of Round Goby and near-shore native benthic and demersal fishes such as Trout-perch, Johnny Darter and Spottail Shiner. The introduction of Round Goby and the reappearance of native Deepwater Sculpin have shaped the Lake Ontario benthic prey fish community.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2016 Annual Report Bureau of Fisheries Lake Ontario Unit and St. Lawrence River Unit to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"conferenceTitle":"Lake Ontario Committee Meeting","conferenceDate":"March 22-23, 2017","conferenceLocation":"Ypsilanti, MI","language":"English","publisher":"New York State Department of Environmental Conservation Division of Fish, Wildlife and Marine Resources","publisherLocation":"Albany, NY","usgsCitation":"Weidel, B., Walsh, M., Holden, J.P., and Connerton, M., 2017, Lake Ontario benthic prey fish assessment, 2016: NYSDEC Lake Ontario Annual Report 2016, 11 p.","productDescription":"11 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P.","contributorId":190415,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":688391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Connerton, Michael J.","contributorId":25495,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":688392,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70186338,"text":"70186338 - 2017 - Status and trends in the Lake Superior fish community, 2016","interactions":[],"lastModifiedDate":"2018-03-28T13:46:04","indexId":"70186338","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Status and trends in the Lake Superior fish community, 2016","docAbstract":"In 2016, the Lake Superior fish community was sampled with daytime bottom trawls at 76 nearshore and 35 offshore stations. Spring and summer water temperatures in 2016 were warmer than average and considerably warmer than observed in 2014 and 2015. In the nearshore zone, a total of 17,449 individuals from 20 species or morphotypes were collected. Nearshore lakewide mean biomass was 2.2 kg/ha, which was near the lowest biomass on record for this survey since it began in 1978. In the offshore zone, a total 8,487 individuals from 16 species or morphotypes were collected lakewide. Offshore lakewide mean biomass was 4.5 kg/ha, which was the lowest biomass recorded since the offshore survey began in 2011. The density of age-1 Cisco was 5.0 fish/ha, which was 35% of that measured in 2015. Larval Coregonus were collected in surface trawls at 144 locations lakewide from May to July. The average nearshore lakewide larval Coregonus density estimate was 1,630 fish/ha, which was similar to that estimated in 2015.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Compiled reports to the Great Lakes Fishery Commission of the annual bottom trawl and acoustics surveys for 2016","largerWorkSubtype":{"id":6,"text":"USGS Unnumbered Series"},"language":"English","publisher":"U.S. Geological Survey, Great Lakes Fishery Commission","usgsCitation":"Vinson, M., Evrard, L.M., Gorman, O.T., and Yule, D., 2017, Status and trends in the Lake Superior fish community, 2016, 12 p.","productDescription":"12 p.","startPage":"13","endPage":"24","ipdsId":"IP-084948","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352852,"rank":1,"type":{"id":15,"text":"Index 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Center","active":true,"usgs":true}],"preferred":true,"id":688361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorman, Owen T. 0000-0003-0451-110X otgorman@usgs.gov","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":2888,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","email":"otgorman@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":688363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yule, Daniel 0000-0002-0117-5115 dyule@usgs.gov","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":139532,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","email":"dyule@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":688362,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70186020,"text":"70186020 - 2017 - Quantifying the relative contribution of an ecological reserve to conservation objectives","interactions":[],"lastModifiedDate":"2017-03-30T15:18:26","indexId":"70186020","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the relative contribution of an ecological reserve to conservation objectives","docAbstract":"

Evaluating the role public lands play in meeting conservation goals is an essential step in good governance. We present a tool for comparing the regional contribution of each of a suite of wildlife management units to conservation goals. We use weighted summation (simple additive weighting) to compute a Unit Contribution Index (UCI) based on species richness, population abundance, and a conservation score based on IUCN Red List classified threat levels. We evaluate UCI for a subset of the 729 participating wetlands of the Integrated Waterbird Management and Monitoring (IWMM) Program across U.S. Fish and Wildlife Service Regions 3 (Midwest USA), 4 (Southeast USA), and 5 (Northeast USA). We found that the median across-Region UCI for Region 5 was greater than Regions 3 and 4, while Region 4 had the greatest within-Region UCI median. This index is a powerful tool for wildlife managers to evaluate the performance of units within the conservation estate.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2017.01.002","usgsCitation":"Aagaard, K., Lyons, J.E., and Thogmartin, W.E., 2017, Quantifying the relative contribution of an ecological reserve to conservation objectives: Global Ecology and Conservation, v. 9, p. 142-147, https://doi.org/10.1016/j.gecco.2017.01.002.","productDescription":"6 p.","startPage":"142","endPage":"147","ipdsId":"IP-079772","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":470174,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2017.01.002","text":"Publisher Index Page"},{"id":338844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194fe4b02ff32c699ca3","contributors":{"authors":[{"text":"Aagaard, Kevin 0000-0003-0756-2172 kaagaard@usgs.gov","orcid":"https://orcid.org/0000-0003-0756-2172","contributorId":147393,"corporation":false,"usgs":true,"family":"Aagaard","given":"Kevin","email":"kaagaard@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":687364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":687365,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194510,"text":"70194510 - 2017 - Phosphorus (P) and HABs: Sources of P discharged from the Maumee River into Lake Erie","interactions":[],"lastModifiedDate":"2018-03-05T16:18:22","indexId":"70194510","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Phosphorus (P) and HABs: Sources of P discharged from the Maumee River into Lake Erie","docAbstract":"

No abstract available.

","language":"English","publisher":"Great Lakes Commission","usgsCitation":"Muenich, R.L., Johnson, L., Bratton, J.F., Fussell, K.D., Kane, D., Kalcic, M., Robertson, D.M., Eberts, S.M., Evans, M.A., and Gibbons, K.J., 2017, Phosphorus (P) and HABs: Sources of P discharged from the Maumee River into Lake Erie, 2 p.","productDescription":"2 p.","ipdsId":"IP-092511","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":350907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349602,"type":{"id":15,"text":"Index Page"},"url":"https://www.glc.org/work/habs-collaboratory/publications"}],"country":"United States","otherGeospatial":"Lake Erie, Maumee River","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743586e4b0a9a2e9e25cb0","contributors":{"authors":[{"text":"Muenich, Rebecca Logsdon","contributorId":169555,"corporation":false,"usgs":false,"family":"Muenich","given":"Rebecca","email":"","middleInitial":"Logsdon","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":724191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Laura","contributorId":201052,"corporation":false,"usgs":false,"family":"Johnson","given":"Laura","affiliations":[],"preferred":false,"id":724194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bratton, John F. 0000-0003-0376-4981 jbratton@usgs.gov","orcid":"https://orcid.org/0000-0003-0376-4981","contributorId":92757,"corporation":false,"usgs":true,"family":"Bratton","given":"John","email":"jbratton@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fussell, Kristin DeVanna","contributorId":201053,"corporation":false,"usgs":false,"family":"Fussell","given":"Kristin","email":"","middleInitial":"DeVanna","affiliations":[],"preferred":false,"id":724195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kane, Doug","contributorId":201051,"corporation":false,"usgs":false,"family":"Kane","given":"Doug","email":"","affiliations":[],"preferred":false,"id":724193,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalcic, Margaret","contributorId":169554,"corporation":false,"usgs":false,"family":"Kalcic","given":"Margaret","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false},{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":724192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724188,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eberts, Sandra M. 0000-0001-5138-8293 smeberts@usgs.gov","orcid":"https://orcid.org/0000-0001-5138-8293","contributorId":127844,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra","email":"smeberts@usgs.gov","middleInitial":"M.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":724187,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":724189,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gibbons, Kenneth J.","contributorId":173031,"corporation":false,"usgs":false,"family":"Gibbons","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724197,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70186332,"text":"70186332 - 2017 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2016","interactions":[],"lastModifiedDate":"2023-04-07T16:33:01.002928","indexId":"70186332","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2016","docAbstract":"

We conducted a biomass-based assessment of the Lake Erie Western Basin fish community using data collected from 2013-2016 Western Basin (spring and autumn) bottom trawl surveys. Biomass of total catch per hectare has decreased 75 percent since 2013. Declines were observed across all functional groups, but most notable was the decline of Emerald Shiner, which decreased from 25.3 kg/ha in spring 2013 to <0.01 kg/ha by autumn 2013. The four primary predator species – Walleye, Yellow Perch, White Perch, and White Bass – all decreased from 2013 to 2015. In 2016, White Bass and Yellow Perch (all lifestages combined) continued to decline, while Walleye and White Perch (all ages combined) increased slightly from 5.6 kg/ha and 3.4 kg/ha to 9.0 kg/ha and 5.0 kg/ha, respectively (autumn catches). Despite decreasing trends in biomass, there was little change in biodiversity. Declines in forage biomass, i.e. Emerald Shiner and age-0 White Perch, resulted in an increased mean trophic level of catches. Forage fish to piscivore ratios reflected marked shifts in species composition toward greater forage in 2014 and 2016.

","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Bodamer Scarbro, B.L., Kraus, R.T., Kocovsky, P., and Vandergoot, C., 2017, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2016.","ipdsId":"IP-084961","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352813,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.83042561866203,\n 42.83947998725651\n ],\n [\n -79.05419559710549,\n 42.84445044266204\n ],\n [\n -79.34723947607836,\n 42.867505439860906\n ],\n [\n -79.63042902700818,\n 42.82979611449315\n ],\n [\n -80.19300640647401,\n 42.78683833970689\n ],\n [\n -80.48946185253618,\n 42.56830684920794\n ],\n [\n -80.75505536977545,\n 42.63058927982553\n ],\n [\n -81.2649125281849,\n 42.65947723113632\n ],\n [\n -81.68254937098362,\n 42.473095041315446\n ],\n [\n -81.94779341039089,\n 42.28566242550343\n ],\n [\n -82.45261137533379,\n 42.096617816981166\n ],\n [\n -82.50875433470178,\n 41.97702258755987\n ],\n [\n -82.6129085481856,\n 42.05303192857255\n ],\n [\n -82.96796357699394,\n 41.990378987810516\n ],\n [\n -83.11885623553695,\n 42.06549924415452\n ],\n [\n -83.11015681923705,\n 42.20201225480912\n ],\n [\n -83.20183479728604,\n 42.17539076035257\n ],\n [\n -83.24447886978825,\n 42.02138217144653\n ],\n [\n -83.29964209129852,\n 41.9183418231263\n ],\n [\n -83.46689589644896,\n 41.71125094657418\n ],\n [\n -83.17885165327081,\n 41.629872982739954\n ],\n [\n -82.94864727645425,\n 41.530145155769816\n ],\n [\n -82.94754108395134,\n 41.46190281418288\n ],\n [\n -82.68519761720665,\n 41.430232650244335\n ],\n [\n -82.45731725777486,\n 41.38919538555325\n ],\n [\n -82.18488329829222,\n 41.44165749902834\n ],\n [\n -82.00315923989179,\n 41.50180730835157\n ],\n [\n -81.76429181925941,\n 41.46784487565424\n ],\n [\n -81.43346949978508,\n 41.65468891025833\n ],\n [\n -81.07814633503381,\n 41.806259431479276\n ],\n [\n -80.6642163266489,\n 41.91355784022605\n ],\n [\n -80.08467398415922,\n 42.10240274001927\n ],\n [\n -79.65015538905237,\n 42.30010672051813\n ],\n [\n -79.23498337452526,\n 42.488602008238786\n ],\n [\n -78.83042561866203,\n 42.83947998725651\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f8e4b0da30c1bfc500","contributors":{"authors":[{"text":"Bodamer Scarbro, Betsy L. 0000-0002-9022-7027 bbodamerscarbro@usgs.gov","orcid":"https://orcid.org/0000-0002-9022-7027","contributorId":5857,"corporation":false,"usgs":true,"family":"Bodamer Scarbro","given":"Betsy","email":"bbodamerscarbro@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":688356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":688357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":688358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergoot, Christopher 0000-0003-4128-3329 cvandergoot@usgs.gov","orcid":"https://orcid.org/0000-0003-4128-3329","contributorId":178356,"corporation":false,"usgs":true,"family":"Vandergoot","given":"Christopher","email":"cvandergoot@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":688359,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188787,"text":"70188787 - 2017 - A 600-year-long stratigraphic record of tsunamis in south-central Chile","interactions":[],"lastModifiedDate":"2017-06-23T15:43:28","indexId":"70188787","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"A 600-year-long stratigraphic record of tsunamis in south-central Chile","docAbstract":"

The stratigraphy within coastal river valleys in south-central Chile clarifies and extends the region’s history of large, earthquakes and accompanying tsunamis. Our site at Quidico (38.1°S, 73.3°W) is located in an overlap zone between ruptures of magnitude 8–9 earthquakes in 1960 and 2010, and, therefore, records tsunamis originating from subduction-zone ruptures north and south of the city of Concepción. Hand-dug pits and cores in a 3-m-thick sequence of freshwater peat in an abandoned meander (a little-examined depositional environment for tsunami deposits) and exposures along the Quidico River show five sand beds that extend as much as 1.2 km inland. Evidence for deposition of the beds by tsunamis includes tabular sand beds that are laterally extensive (>100 m), well sorted, fine upward, have sharp lower contacts, and contain diatom assemblages dominated by brackish and marine taxa. Using eyewitness accounts of tsunami inundation, 137Cs analyses, and 14C dating, we matched the upper four sand beds with historical tsunamis in 2010, 1960, 1835, and 1751. The oldest prehistoric bed dates to 1445–1490 CE and correlates with lacustrine and coastal records of similar-aged earthquakes and tsunamis in south-central Chile.

","language":"English","publisher":"SAGE","doi":"10.1177/0959683616646191","usgsCitation":"Hong, I., Dura, T., Ely, L.L., Horton, B.P., Nelson, A.R., Cisternas, M., Nikitina, D., and Wesson, R.L., 2017, A 600-year-long stratigraphic record of tsunamis in south-central Chile: The Holocene, v. 27, no. 1, p. 39-51, https://doi.org/10.1177/0959683616646191.","productDescription":"13 p.","startPage":"39","endPage":"51","ipdsId":"IP-074503","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.1572265625,\n -47.27922900257082\n ],\n [\n -70.3564453125,\n -47.27922900257082\n ],\n [\n -70.3564453125,\n -30.864510226258346\n ],\n [\n -76.1572265625,\n -30.864510226258346\n ],\n [\n -76.1572265625,\n -47.27922900257082\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-28","publicationStatus":"PW","scienceBaseUri":"594e28b6e4b062508e3abe28","contributors":{"authors":[{"text":"Hong, Isabel","contributorId":193398,"corporation":false,"usgs":false,"family":"Hong","given":"Isabel","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":700360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dura, Tina","contributorId":48482,"corporation":false,"usgs":true,"family":"Dura","given":"Tina","affiliations":[],"preferred":false,"id":700361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ely, Lisa L.","contributorId":19854,"corporation":false,"usgs":true,"family":"Ely","given":"Lisa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":700362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, Benajamin P.","contributorId":192918,"corporation":false,"usgs":false,"family":"Horton","given":"Benajamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":700363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":700364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cisternas, Marco","contributorId":120988,"corporation":false,"usgs":true,"family":"Cisternas","given":"Marco","affiliations":[],"preferred":false,"id":700365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nikitina, Daria","contributorId":193404,"corporation":false,"usgs":false,"family":"Nikitina","given":"Daria","email":"","affiliations":[{"id":16171,"text":"West Chester University","active":true,"usgs":false}],"preferred":false,"id":700366,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":700367,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70188367,"text":"70188367 - 2017 - Implications of the earthquake cycle for inferring fault locking on the Cascadia megathrust","interactions":[],"lastModifiedDate":"2017-06-07T11:31:38","indexId":"70188367","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Implications of the earthquake cycle for inferring fault locking on the Cascadia megathrust","docAbstract":"

GPS velocity fields in the Western US have been interpreted with various physical models of the lithosphere-asthenosphere system: (1) time-independent block models; (2) time-dependent viscoelastic-cycle models, where deformation is driven by viscoelastic relaxation of the lower crust and upper mantle from past faulting events; (3) viscoelastic block models, a time-dependent variation of the block model. All three models are generally driven by a combination of loading on locked faults and (aseismic) fault creep. Here we construct viscoelastic block models and viscoelastic-cycle models for the Western US, focusing on the Pacific Northwest and the earthquake cycle on the Cascadia megathrust. In the viscoelastic block model, the western US is divided into blocks selected from an initial set of 137 microplates using the method of Total Variation Regularization, allowing potential trade-offs between faulting and megathrust coupling to be determined algorithmically from GPS observations. Fault geometry, slip rate, and locking rates (i.e. the locking fraction times the long term slip rate) are estimated simultaneously within the TVR block model. For a range of mantle asthenosphere viscosity (4.4 × 1018 to 3.6 × 1020 Pa s) we find that fault locking on the megathrust is concentrated in the uppermost 20 km in depth, and a locking rate contour line of 30 mm yr−1 extends deepest beneath the Olympic Peninsula, characteristics similar to previous time-independent block model results. These results are corroborated by viscoelastic-cycle modelling. The average locking rate required to fit the GPS velocity field depends on mantle viscosity, being higher the lower the viscosity. Moreover, for viscosity ≲ 1020 Pa s, the amount of inferred locking is higher than that obtained using a time-independent block model. This suggests that time-dependent models for a range of admissible viscosity structures could refine our knowledge of the locking distribution and its epistemic uncertainty.

","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggx009","usgsCitation":"Pollitz, F., and Evans, E., 2017, Implications of the earthquake cycle for inferring fault locking on the Cascadia megathrust: Geophysical Journal International, v. 209, no. 1, p. 167-185, https://doi.org/10.1093/gji/ggx009.","productDescription":"19 p.","startPage":"167","endPage":"185","ipdsId":"IP-075706","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"209","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"593910ade4b0764e6c5e8860","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Eileen 0000-0002-7290-5269 eevans@usgs.gov","orcid":"https://orcid.org/0000-0002-7290-5269","contributorId":167021,"corporation":false,"usgs":true,"family":"Evans","given":"Eileen","email":"eevans@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697417,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196113,"text":"70196113 - 2017 - Sub-indicator: Prey fish","interactions":[],"lastModifiedDate":"2018-03-21T11:53:43","indexId":"70196113","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Sub-indicator: Prey fish","docAbstract":"

Prey fish communities across the Great Lakes continue to change, although the direction and magnitude of those changes are not consistent across the lakes. The metrics used to categorize prey fish status in this and previous periods are based on elements that are common among each of the lake’s Fish Community Objectives and include diversity and the relative role of native species in the prey fish communities. The diversity index categorized three of lakes as ‘fair’, while Superior and Erie were ‘good’ (Table 1). The short term trend, from the previous period (2008-2010) to the current period (2011-2014) found diversity in Erie and Superior to be unchanging, but the other three lakes to be ‘deteriorating’, resulting in an overall trend categorization of ‘undetermined’ (Table 1). The long term diversity trend suggested Lakes Superior and Erie have the most diverse prey communities although the index for those prey fish have been quite variable over time (Figure 1). In Lake Huron, where non-native alewife have substantially declined, the diversity index has also declined. The continued dominance of alewife in Lake Ontario (96% of the prey fish biomass) resulted in the lowest diversity index value (Figure 1). The proportion of native species within the community was judged as ‘good’ in Lakes Superior and Huron, ‘fair’ in Michigan and Erie and ‘poor’ in Ontario (Table 2). The short term trend was improving in in all lakes except Michigan (‘deteriorating’) and Ontario (‘unchanging’), resulting in an overall short term trend of ‘undetermined’ (Table 2). Over the current period, Lake Superior consistently had the highest proportion native prey fish (87%) while Lake Ontario had the lowest (1%) (Figure 2). Lake Michigan’s percent native has declined as round goby increase and comprises a greater proportion of the community. Native prey fish make up 51% of Lake Erie, although basin-specific values differed (Figure 2). Most notably, native species in Lake Huron comprised less than 10% of the community in 1970, but since alewife have declined, now represent nearly 80% of the community (Figure 2). Prey fish data are most consistent for in-lake populations, which are reported here; data from connecting channels was not consistently available across the basin. Abundance was not used to judge prey fish status since successful, basin-wide management actions, including mineral nutrient input reductions and piscivore restoration, both inherently reduce prey fish abundance. However, recent abundance trends as they relate to predator prey balance are referenced, such as in Lakes Michigan and Huron where piscivore stocking is being reduced to lower predation demand on prey fish populations and maintain sport fisheries.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Sate of the Great Lakes 2017 Technical Report","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"Environment and Climate Change Canada and the U.S. Environmental Protection Agency","usgsCitation":"Weidel, B., and Dunlop, E., 2017, Sub-indicator: Prey fish, 9 p.","productDescription":"9 p.","startPage":"254","endPage":"262","ipdsId":"IP-071538","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352660,"type":{"id":15,"text":"Index Page"},"url":"https://binational.net/wp-content/uploads/2017/09/SOGL_2017_Technical_Report-EN.pdf"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4ce","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":731406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunlop, Erin","contributorId":102377,"corporation":false,"usgs":true,"family":"Dunlop","given":"Erin","affiliations":[],"preferred":false,"id":731407,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70194206,"text":"70194206 - 2017 - State of Great Lakes 2017 Technical Report: Indicators to assess the status and trends of the Great Lakes ecosystem","interactions":[],"lastModifiedDate":"2018-02-13T15:19:22","indexId":"70194206","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"EPA 905‐R‐17‐001","title":"State of Great Lakes 2017 Technical Report: Indicators to assess the status and trends of the Great Lakes ecosystem","docAbstract":"

No abstract available.

","language":"English","publisher":"Environment Climate Change Canada and United States Environmental Protection Agency","usgsCitation":"Van Stempvoort, D., Zhang, G., Hoard, C.J., Spoelstra, J., Granneman, N., MacRitchie, S., and Cherwaty, S., 2017, State of Great Lakes 2017 Technical Report: Indicators to assess the status and trends of the Great Lakes ecosystem, 547 p.","productDescription":"547 p.","ipdsId":"IP-084008","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":351554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349065,"type":{"id":15,"text":"Index Page"},"url":"https://binational.net/wp-content/uploads/2017/09/SOGL_2017_Technical_Report-EN.pdf"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4e0","contributors":{"authors":[{"text":"Van Stempvoort, Dale","contributorId":199351,"corporation":false,"usgs":false,"family":"Van Stempvoort","given":"Dale","email":"","affiliations":[],"preferred":false,"id":722659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, George","contributorId":200562,"corporation":false,"usgs":false,"family":"Zhang","given":"George","email":"","affiliations":[],"preferred":false,"id":722660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoard, Christopher J. 0000-0003-2337-506X cjhoard@usgs.gov","orcid":"https://orcid.org/0000-0003-2337-506X","contributorId":191767,"corporation":false,"usgs":true,"family":"Hoard","given":"Christopher","email":"cjhoard@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":722658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spoelstra, John","contributorId":200563,"corporation":false,"usgs":false,"family":"Spoelstra","given":"John","email":"","affiliations":[],"preferred":false,"id":722661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Granneman, Norman","contributorId":200564,"corporation":false,"usgs":false,"family":"Granneman","given":"Norman","email":"","affiliations":[],"preferred":false,"id":722662,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"MacRitchie, Scott","contributorId":200565,"corporation":false,"usgs":false,"family":"MacRitchie","given":"Scott","email":"","affiliations":[],"preferred":false,"id":722663,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cherwaty, Stacey","contributorId":200566,"corporation":false,"usgs":false,"family":"Cherwaty","given":"Stacey","email":"","affiliations":[],"preferred":false,"id":722664,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192670,"text":"70192670 - 2017 - Post-rift magmatic evolution of the eastern North American “passive-aggressive” margin","interactions":[],"lastModifiedDate":"2017-11-29T13:55:13","indexId":"70192670","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Post-rift magmatic evolution of the eastern North American “passive-aggressive” margin","docAbstract":"

Understanding the evolution of passive margins requires knowledge of temporal and chemical constraints on magmatism following the transition from supercontinent to rifting, to post-rifting evolution. The Eastern North American Margin (ENAM) is an ideal study location as several magmatic pulses occurred in the 200 My following rifting. In particular, the Virginia-West Virginia region of the ENAM has experienced two postrift magmatic pulses at ∼152 Ma and 47 Ma, and thus provides a unique opportunity to study the long-term magmatic evolution of passive margins. Here we present a comprehensive set of geochemical data that includes new 40Ar/39Ar ages, major and trace-element compositions, and analysis of radiogenic isotopes to further constrain their magmatic history. The Late Jurassic volcanics are bimodal, from basanites to phonolites, while the Eocene volcanics range from picrobasalt to rhyolite. Modeling suggests that the felsic volcanics from both the Late Jurassic and Eocene events are consistent with fractional crystallization. Sr-Nd-Pb systematics for the Late Jurassic event suggests HIMU and EMII components in the magma source that we interpret as upper mantle components rather than crustal interaction. Lithospheric delamination is the best hypothesis for magmatism in Virginia/West Virginia, due to tectonic instabilities that are remnant from the long-term evolution of this margin, resulting in a “passive-aggressive” margin that records multiple magmatic events long after rifting ended.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GC006646","usgsCitation":"Mazza, S.E., Gazel, E., Johnson, E.A., Bizmis, M., McAleer, R., and Biryol, C.B., 2017, Post-rift magmatic evolution of the eastern North American “passive-aggressive” margin: Geochemistry, Geophysics, Geosystems, v. 18, no. 1, p. 3-22, https://doi.org/10.1002/2016GC006646.","productDescription":"20 p.","startPage":"3","endPage":"22","ipdsId":"IP-079810","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":349550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.6667,\n 38.1667\n ],\n [\n -78.6667,\n 38.1667\n ],\n [\n -78.6667,\n 38.6667\n ],\n [\n -79.6667,\n 38.6667\n ],\n [\n -79.6667,\n 38.1667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-09","publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bff","contributors":{"authors":[{"text":"Mazza, Sarah E. 0000-0001-8091-1186","orcid":"https://orcid.org/0000-0001-8091-1186","contributorId":198664,"corporation":false,"usgs":false,"family":"Mazza","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gazel, Esteban","contributorId":192876,"corporation":false,"usgs":false,"family":"Gazel","given":"Esteban","email":"","affiliations":[],"preferred":false,"id":716691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Elizabeth A. 0000-0001-7244-6122","orcid":"https://orcid.org/0000-0001-7244-6122","contributorId":198665,"corporation":false,"usgs":false,"family":"Johnson","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bizmis, Michael 0000-0002-4611-6928","orcid":"https://orcid.org/0000-0002-4611-6928","contributorId":198666,"corporation":false,"usgs":false,"family":"Bizmis","given":"Michael","email":"","affiliations":[],"preferred":false,"id":716693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716689,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Biryol, C. Berk","contributorId":198667,"corporation":false,"usgs":false,"family":"Biryol","given":"C.","email":"","middleInitial":"Berk","affiliations":[],"preferred":false,"id":716694,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189668,"text":"70189668 - 2017 - Mercury bioaccumulation in estuarine fishes: Novel insights from sulfur stable isotopes","interactions":[],"lastModifiedDate":"2017-11-22T17:03:21","indexId":"70189668","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Mercury bioaccumulation in estuarine fishes: Novel insights from sulfur stable isotopes","docAbstract":"

Estuaries are transitional habitats characterized by complex biogeochemical and ecological gradients that result in substantial variation in fish total mercury concentrations (THg). We leveraged these gradients and used carbon (δ13C), nitrogen (δ15N), and sulfur (δ34S) stable isotopes to examine the ecological and biogeochemical processes underlying THg bioaccumulation in fishes from the San Francisco Bay Estuary. We employed a tiered approach that first examined processes influencing variation in fish THg among wetlands, and subsequently examined the roles of habitat and within-wetland processes in generating larger-scale patterns in fish THg. We found that δ34S, an indicator of sulfate reduction and habitat specific-foraging, was correlated with fish THg at all three spatial scales. Over the observed ranges of δ34S, THg concentrations in fish increased by up to 860% within wetlands, 560% among wetlands, and 291% within specific impounded wetland habitats. In contrast, δ13C and δ15N were not correlated with THg among wetlands and were only important in low salinity impounded wetlands, possibly reflecting more diverse food webs in this habitat. Together, our results highlight the key roles of sulfur biogeochemistry and ecology in influencing estuarine fish THg, as well as the importance of fish ecology and habitat in modulating the relationships between biogeochemical processes and Hg bioaccumulation.

","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b05325","usgsCitation":"Willacker, J.J., Eagles-Smith, C.A., and Ackerman, J., 2017, Mercury bioaccumulation in estuarine fishes: Novel insights from sulfur stable isotopes: Environmental Science & Technology, v. 51, no. 4, p. 2131-2139, https://doi.org/10.1021/acs.est.6b05325.","productDescription":"9 p.","startPage":"2131","endPage":"2139","ipdsId":"IP-080770","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":344071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Estuary","volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-02-01","publicationStatus":"PW","scienceBaseUri":"59706fb6e4b0d1f9f065a88a","contributors":{"authors":[{"text":"Willacker, James J. jwillacker@usgs.gov","contributorId":5614,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"jwillacker@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":705690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":705691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":705692,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}