{"pageNumber":"52","pageRowStart":"1275","pageSize":"25","recordCount":10450,"records":[{"id":70223431,"text":"70223431 - 2021 - Pollinator communities vary with vegetation structure and time since management within regenerating timber harvests of the Central Appalachian Mountains","interactions":[],"lastModifiedDate":"2021-08-27T13:15:05.97235","indexId":"70223431","displayToPublicDate":"2021-08-26T11:08:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Pollinator communities vary with vegetation structure and time since management within regenerating timber harvests of the Central Appalachian Mountains","docAbstract":"Native pollinator populations across the United States are increasingly threatened by a multitude of ecological stressors. Although the drivers behind pollinator population declines are varied, habitat loss/degradation remains one of the most important threats. Forested landscapes, where the impacts of habitat loss/degradation are minimized, are known to support robust pollinator populations in eastern North America. Within heavily forested landscapes, timber management is already implemented as a means for improving forest health and enhancing wildlife habitat, however, little is known regarding the characteristics within regenerating timber harvests that affect forest pollinator populations. In 2018-19, we monitored insect pollinators in 143 regenerating (≤ 9 growing seasons post-harvest) timber harvest sites across Pennsylvania. During 1,129 survey events, we observed over 9,100 bees and butterflies, 220 blooming plant taxa, and collected over 2,200 pollinator specimens. Bee and butterfly abundance were positively associated with season-wide floral abundance and negatively associated with dense vegetation that inhibits the growth of understory floral resources. Particularly in late summer, few pollinators were observed in stands > 6 years post-harvest, with models predicting five times more bees in 1-year-old harvests than in 9-year-old harvests. Pollinator species diversity was positively associated with floral diversity and percent forb cover, and negatively associated with percent tall (>1m) sapling cover. These results suggest that regenerating timber harvests promote abundant and diverse pollinator communities in the Appalachian Mountains, though pollinator abundance declined quickly as woody stems regenerated. Ultimately, our findings contribute to a growing body of literature suggesting that dynamic forest management producing an even mix of age classes would benefit forest pollinator populations in the Central Appalachian Mountains.","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2021.119373","usgsCitation":"Mathis, C.L., McNeil, D.J., Lee, M.R., Grozinger, C.M., King, D.I., Otto, C., and Larkin, J., 2021, Pollinator communities vary with vegetation structure and time since management within regenerating timber harvests of the Central Appalachian Mountains: Forest Ecology and Management, v. 495, 119373, 12 p., https://doi.org/10.1016/j.foreco.2021.119373.","productDescription":"119373, 12 p.","onlineOnly":"N","ipdsId":"IP-127927","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":451052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2021.119373","text":"Publisher Index Page"},{"id":388553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Appalachian Mountains, Laurel Highlands, Pennsylvania Wilds, Pocono Mountains, 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Jr.","contributorId":37620,"corporation":false,"usgs":false,"family":"McNeil","given":"Darin","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":822062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Monica R.","contributorId":264824,"corporation":false,"usgs":false,"family":"Lee","given":"Monica","email":"","middleInitial":"R.","affiliations":[{"id":54565,"text":"Indiana Un of Penns","active":true,"usgs":false}],"preferred":false,"id":822063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grozinger, Christina M.","contributorId":214374,"corporation":false,"usgs":false,"family":"Grozinger","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":822064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, David I.","contributorId":34390,"corporation":false,"usgs":false,"family":"King","given":"David","email":"","middleInitial":"I.","affiliations":[{"id":18918,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA, 01003, USA","active":true,"usgs":false},{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":822065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":822066,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Larkin, Jeffery A.","contributorId":210725,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffery A.","affiliations":[{"id":38140,"text":"Department of Biology, Indiana University of Pennsylvania, Indiana, PA 15705, US","active":true,"usgs":false}],"preferred":false,"id":822067,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70224577,"text":"70224577 - 2021 - Large California wildfires: 2020 fires in historical context","interactions":[],"lastModifiedDate":"2021-09-29T13:58:17.893271","indexId":"70224577","displayToPublicDate":"2021-08-21T08:55:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Large California wildfires: 2020 fires in historical context","docAbstract":"

Background

California in the year 2020 experienced a record breaking number of large fires. Here, we place this and other recent years in a historical context by examining records of large fire events in the state back to 1860. Since drought is commonly associated with large fire events, we investigated the relationship of large fire events to droughts over this 160 years period.

Results

This study shows that extreme fire events such as seen in 2020 are not unknown historically, and what stands out as distinctly new is the increased number of large fires (defined here as > 10,000 ha) in the last couple years, most prominently in 2020. Nevertheless, there have been other periods with even greater numbers of large fires, e.g., 1929 had the second greatest number of large fires. In fact, the 1920’s decade stands out as one with many large fires.

Conclusions

In the last decade, there have been several years with exceptionally large fires. Earlier records show fires of similar size in the nineteenth and early twentieth century. Lengthy droughts, as measured by the Palmer Drought Severity Index (PDSI), were associated with the peaks in large fires in both the 1920s and the early twenty-first century.

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\"}}]}","volume":"17","noUsgsAuthors":false,"publicationDate":"2021-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":824142,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223129,"text":"ofr20201122 - 2021 - Structured decision making and optimal bird monitoring in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2021-08-23T13:45:32.769864","indexId":"ofr20201122","displayToPublicDate":"2021-08-20T14:10:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1122","displayTitle":"Structured Decision Making and Optimal Bird Monitoring in the Northern Gulf of Mexico","title":"Structured decision making and optimal bird monitoring in the northern Gulf of Mexico","docAbstract":"

The avian conservation community struggles to design and implement large scale, long-term coordinated bird monitoring programs within the northern Gulf of Mexico due to the complexity of the conservation enterprise in the region; this complexity arises from the diverse stakeholders, multiple jurisdictions, complex ecological processes, myriad habitats, and over 500 species of birds using the region for at least some part of their annual cycle. In addition, long-term monitoring over large spatial scales is difficult because of the need for monitoring data to both (1) evaluate management and restoration outcomes, and (2) provide reliable information about the status and trends of bird populations over time.

To address these challenges, the Gulf of Mexico Avian Monitoring Network developed a problem statement:

“How can a cost-effective monitoring strategy for the Gulf Coast bird community and ecosystem be developed that evaluates ongoing conservation activities and chronic and acute threats; maximizes learning; and is flexible and holistic enough to detect novel ecological threats and evaluate new and emerging conservation activities?”

A structured decision-making framework was then used to articulate and quantify stakeholder values related to the problem statement. One use of the stakeholder values was to develop a regional, strategic plan for bird monitoring, which is presented elsewhere. A formal and complete decision support tool for conservation investments in monitoring and research guided by the stakeholder values is presented in this report. The technical aspects of the stakeholder value model and a portfolio analysis that could be used to guide decision making when allocating resources for monitoring activities is described. Whereas the decision analysis presented here could be useful to any decision maker faced with difficult choices about resource allocation, it is designed for decision makers who request monitoring study proposals and then determine which combination of proposals to fund. The portfolio decision support tool is designed to help funding agencies and organizations identify resource allocation strategies to maximize stated objectives.

To begin the decision analysis, an objectives hierarchy and quantitative performance metrics from the values of the Gulf of Mexico bird conservation community were created by a panel of regional stakeholders. Each fundamental objective and sub-objective in the hierarchy is composed of several performance metrics. To test the decision support tool, the authors evaluated a combination of monitoring study proposals written for the region and simulated proposals. Each proposal was scored against the performance metrics and used multi-attribute utility theory to combine the multiple objectives into a measure of total monitoring benefit. The total monitoring benefit and costs of each proposal were then used in a constrained optimization routine to identify optimal monitoring portfolios, that is, a combination of activities that maximizes monitoring benefits while meeting cost and other constraints of interest to stakeholders. A graphical solution based on the concept of Pareto efficiency, which is useful in situations when cost constraints and exact budgets are not known, is also provided. Finally, an evaluation of the sensitivity of the decision-making framework to the weights assigned to objectives by stakeholders is included. This decision support tool allows decision makers to identify an optimal suite of monitoring proposals with a transparent portfolio analysis that includes user-defined constraints (such as costs).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201122","collaboration":"Prepared in Cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Fournier, A.M.V., Wilson, R.R., Lyons, J.E., Gleason, J.S., Adams, E.M., Barnhill, L.M., Brush, J.M., Cooper, R.J., DeMaso, S.J., Driscoll, M.J.L., Eaton, M.J., Frederick, P.C., Just, M.G., Seymour, M.A., Tirpak, J.M, and Woodrey, M.S., 2021, Structured decision making and optimal bird monitoring in the northern Gulf of Mexico: U.S. Geological Survey Open-File Report 2020–1122, 62 p., https://doi.org/10.3133/ofr20201122.","productDescription":"Report: ix, 62 p.; 6 Companion Files","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-100582","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":387878,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2020/1122/sdm_tool_excel_version_2019_12_22.xlsm","text":"2. Portfolio Analysis Spreadsheet","size":"139 KB"},{"id":387871,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1122/coverthb.jpg"},{"id":387876,"rank":10,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2020/1122/ofr20201122_matrix.xlsx","text":"5. Matrix of Management Actions and Bird Species","size":"45.5 KB"},{"id":387874,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2020/1122/ofr20201122_birds.xlsx","text":"1. Gulf of Mexico Avian Monitoring Network Birds of Conservation Concern","size":"727 KB"},{"id":387872,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1122/ofr20201122.pdf","text":"Report","size":"5.62 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1122"},{"id":387875,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2020/1122/ofr20201122_birds_csv.zip","text":"1. Gulf of Mexico Avian Monitoring Network Birds of Conservation Concern","size":"47.1 KB","linkHelpText":"- Zip file of tables in CSV format"},{"id":387873,"rank":12,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2020/1122/ofr20201122_database.docx","text":"6. R Code for Using Deepwater Horizon Project Tracker Database","size":"14.1 KB"},{"id":387882,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2020/1122/ofr20201122_proposals.docx","text":"3. R Code to Simulate Monitoring Proposals","size":"15.7 KB"},{"id":387881,"rank":9,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2020/1122/ofr20201122_projects-portfolios_csv.zip","text":"4. All Test Projects and Portfolios","size":"101 KB","linkHelpText":"- Zip file of tables in CSV format"},{"id":387877,"rank":11,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2020/1122/ofr20201122_matrix_csv.zip","text":"5. Matrix of Management Actions and Bird Species","size":"2.83 KB","linkHelpText":"- Zip file of tables in CSV format"},{"id":387880,"rank":8,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2020/1122/ofr20201122_projects-portfolios.xlsm","text":"4. All Test Projects and Portfolios","size":"1.28 MB"},{"id":387879,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2020/1122/sdm_tool_excel_version_2019_12_22.zip","text":"2. Portfolio Analysis Spreadsheet","size":"5.35 KB","linkHelpText":"- Zip file of tables in CSV format"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.2509765625,\n 25.997549919572112\n ],\n [\n -91.43920898437499,\n 26.194876675795218\n ],\n [\n -87.703857421875,\n 26.175158990178133\n ],\n [\n -86.37451171875,\n 27.205785724383325\n ],\n [\n -85.4736328125,\n 26.204734267107604\n ],\n [\n -83.155517578125,\n 24.647017162630366\n ],\n [\n -81.71630859375,\n 24.347096633808512\n ],\n [\n -80.22216796875,\n 24.926294766395593\n ],\n [\n -79.881591796875,\n 26.115985925333536\n ],\n [\n -80.584716796875,\n 27.926474039865017\n ],\n [\n -81.221923828125,\n 27.858503954841247\n ],\n [\n -81.793212890625,\n 28.806173508854776\n ],\n [\n -82.957763671875,\n 30.344435586368462\n ],\n [\n -83.265380859375,\n 30.65681556429287\n ],\n [\n -84.957275390625,\n 30.751277776257812\n ],\n [\n -85.0341796875,\n 31.015278981711266\n ],\n [\n -87.51708984375,\n 30.987027960280326\n ],\n [\n -87.7587890625,\n 31.512995857454676\n ],\n [\n -88.29711914062499,\n 31.55981453201843\n ],\n [\n -88.450927734375,\n 30.996445897426373\n ],\n [\n -89.395751953125,\n 30.949346915468563\n ],\n [\n -89.97802734375,\n 30.826780904779774\n ],\n [\n -90.758056640625,\n 30.477082932837682\n ],\n [\n -91.92260742187499,\n 30.543338954230222\n ],\n [\n -94.10888671875,\n 30.344435586368462\n ],\n [\n -94.7900390625,\n 30.230594564932193\n ],\n [\n -95.69091796875,\n 29.735762444449076\n ],\n [\n -95.51513671875,\n 29.372601506681402\n ],\n [\n -95.9326171875,\n 29.19053283229458\n ],\n [\n -96.5478515625,\n 29.094577077511826\n ],\n [\n -97.6025390625,\n 28.488005204159457\n ],\n [\n -97.987060546875,\n 27.819644755099446\n ],\n [\n -98.009033203125,\n 27.176469131898898\n ],\n [\n -97.767333984375,\n 26.352497858154024\n ],\n [\n -97.2509765625,\n 25.997549919572112\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road
Laurel, MD 20708

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2021-08-20","noUsgsAuthors":false,"publicationDate":"2021-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Fournier, Auriel 0000-0002-8530-9968","orcid":"https://orcid.org/0000-0002-8530-9968","contributorId":261669,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel","email":"","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":821135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, R. Randy","contributorId":100287,"corporation":false,"usgs":true,"family":"Wilson","given":"R.","email":"","middleInitial":"Randy","affiliations":[],"preferred":false,"id":821136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":228916,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":821137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gleason, Jeffrey S.","contributorId":264218,"corporation":false,"usgs":false,"family":"Gleason","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":821138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Evan M.","contributorId":139994,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"M.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":821139,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnhill, Laurel M.","contributorId":171944,"corporation":false,"usgs":false,"family":"Barnhill","given":"Laurel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":821140,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brush, Janell M.","contributorId":264219,"corporation":false,"usgs":false,"family":"Brush","given":"Janell","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":821141,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cooper, Robert J.","contributorId":99245,"corporation":false,"usgs":false,"family":"Cooper","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":821142,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeMaso, Stephen J.","contributorId":86938,"corporation":false,"usgs":false,"family":"DeMaso","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":821143,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Driscoll, Melanie J.L.","contributorId":105492,"corporation":false,"usgs":false,"family":"Driscoll","given":"Melanie","email":"","middleInitial":"J.L.","affiliations":[],"preferred":false,"id":821144,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333 meaton@usgs.gov","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":169429,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","email":"meaton@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":821145,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Frederick, Peter C.","contributorId":215042,"corporation":false,"usgs":false,"family":"Frederick","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":39161,"text":"Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, United States of America","active":true,"usgs":false}],"preferred":false,"id":821146,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Just, Michael G.","contributorId":264221,"corporation":false,"usgs":false,"family":"Just","given":"Michael","email":"","middleInitial":"G.","affiliations":[],"preferred":true,"id":821147,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Seymour, Michael A.","contributorId":38886,"corporation":false,"usgs":false,"family":"Seymour","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":821148,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tirpak, John M.","contributorId":197496,"corporation":false,"usgs":false,"family":"Tirpak","given":"John M.","affiliations":[],"preferred":false,"id":821149,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Woodrey, Mark S.","contributorId":195564,"corporation":false,"usgs":false,"family":"Woodrey","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":34308,"text":"Grand Bay National Estuarine Research Reserve, Moss Point, MS USA","active":true,"usgs":false}],"preferred":false,"id":821150,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70223301,"text":"70223301 - 2021 - Validation of the U.S. Geological Survey’s Land Change Monitoring, Assessment and Projection (LCMAP) collection 1.0 annual land cover products 1985–2017","interactions":[],"lastModifiedDate":"2021-08-20T13:27:47.982435","indexId":"70223301","displayToPublicDate":"2021-08-19T08:24:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Validation of the U.S. Geological Survey’s Land Change Monitoring, Assessment and Projection (LCMAP) collection 1.0 annual land cover products 1985–2017","docAbstract":"The U.S. Geological Survey Land Change Monitoring, Assessment and Projection (USGS LCMAP) has released a suite of annual land cover and land cover change products for the conterminous United States (CONUS). The accuracy of these products was assessed using an independently collected land cover reference sample dataset produced by analysts interpreting Landsat data, high-resolution aerial photographs, and other ancillary data. The reference sample of nearly 25,000 pixels and the accompanying 33-year time series of annual land cover reference labels allowed for a comprehensive assessment of accuracy of the LCMAP land cover and land cover change products. Overall accuracy (± standard error) for the per-pixel assessment across all years for the eight land cover classes was 82.5% (±0.2%). Overall accuracy was consistent year-to-year within a range of 1.5% but varied regionally with lower accuracy in the eastern United States. User’s accuracy (UA) and producer’s accuracy (PA) for CONUS ranged from the higher accuracies of Water (UA=96%, PA=93%) and Tree Cover (UA=90%, PA=83%) to the lower accuracies of Wetland (UA=69%, PA=74%) and Barren (UA=43%, PA=57%). For a binary change / no change classification, UA of change was 13% (±0.5%) and PA was 16% (±0.6%) for CONUS when agreement was defined as a match by the exact year of change. UA and PA improved to 28% and 34% when agreement was defined as the change being detected by the map and reference data within a ±2-year window. Change accuracy was higher in the eastern United States compared to the western US. UA was 49% (±0.3) and PA was 54% (±0.3) for the footprint of change (defined as the area experiencing at least one land cover change from 1985–2017). For class-specific loss and gain when agreement was defined as an exact year match, UA and PA were generally below 30%, with Tree Cover loss being the most accurately mapped change (UA=25%, PA=31%). These accuracy results provide users with information to assess the suitability of LCMAP data and information to guide future research for improving LCMAP products, particularly focusing on the challenges of accurately mapping annual land cover change.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2021.112646","usgsCitation":"Stehman, S.V., Pengra, B., Horton, J., and Wellington, D., 2021, Validation of the U.S. Geological Survey’s Land Change Monitoring, Assessment and Projection (LCMAP) collection 1.0 annual land cover products 1985–2017: Remote Sensing of Environment, v. 265, 112646, 16 p., https://doi.org/10.1016/j.rse.2021.112646.","productDescription":"112646, 16 p.","ipdsId":"IP-123702","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":451122,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2021.112646","text":"Publisher Index Page"},{"id":436238,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98EC5XR","text":"USGS data release","linkHelpText":"Land Change Monitoring, Assessment, and Projection (LCMAP) Version 1.0 Annual Land Cover and Land Cover Change Validation Tables"},{"id":388226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"265","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stehman, Stephen V. 0000-0001-5234-2027","orcid":"https://orcid.org/0000-0001-5234-2027","contributorId":216812,"corporation":false,"usgs":false,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[{"id":39524,"text":"College of Environmental Science and Forestry, State University of New York, Syracuse, NY 13210, USA","active":true,"usgs":false}],"preferred":false,"id":821648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pengra, Bruce 0000-0003-2497-8284","orcid":"https://orcid.org/0000-0003-2497-8284","contributorId":264539,"corporation":false,"usgs":false,"family":"Pengra","given":"Bruce","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":821649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Josephine 0000-0001-8436-4095","orcid":"https://orcid.org/0000-0001-8436-4095","contributorId":191430,"corporation":false,"usgs":false,"family":"Horton","given":"Josephine","affiliations":[],"preferred":false,"id":821650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wellington, Danika F. 0000-0002-2130-0075","orcid":"https://orcid.org/0000-0002-2130-0075","contributorId":237074,"corporation":false,"usgs":false,"family":"Wellington","given":"Danika F.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":821651,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70224609,"text":"70224609 - 2021 - Genetic diversity of immature Kemp's ridley (Lepidochelys kempii) sea turtles from the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2021-10-18T15:11:42.296282","indexId":"70224609","displayToPublicDate":"2021-08-16T07:03:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Genetic diversity of immature Kemp's ridley (Lepidochelys kempii) sea turtles from the northern Gulf of Mexico","docAbstract":"
  1. The Kemp’s ridley (Lepidochelys kempii) is the world’s most endangered sea turtle species. Predominately nesting at only one beach in Mexico, this species declined to an estimated 300 females in the mid-1980s. Conservation efforts in the United States and Mexico, including a head start programme in southern Texas in which hatchlings were reared in captivity for several months before being released into the wild, resulted in the recovery of this species.
  2. Although genetic data have previously been used to assess the success of the head start programme and dispersal of individual adults, data on immature turtles sampled at foraging areas and adult females sampled at the main nesting beach in Mexico are lacking. Genetic characterization of immature individuals is important for understanding recruitment, survival, and population demography, while genetic data on individuals from Mexico are essential for understanding dispersal and overall genetic diversity in this species.
  3. To address these gaps, mitochondrial DNA data were collected from 106 immature individuals sampled at four different foraging sites in the northern Gulf of Mexico and from 18 nesting females at the primary nesting beach in Mexico.
  4. Two previously unknown mitochondrial DNA haplotypes were discovered among the immature individuals.
  5. Except for these two new haplotypes, the genetic diversity of immature individuals in the northern Gulf of Mexico closely corresponds to that of adults sampled in Mexico, which suggests that much of the diversity within the nesting population can be found among immature animals dispersing to foraging grounds, including locations in the northern Gulf of Mexico.
  6. Continued monitoring of the genetic variation of different life stages of this species across its distribution range will help assess the success of conservation programmes by ensuring the maintenance of genetic diversity and representation of this diversity across the species’ distribution range.
","language":"English","publisher":"Wiley","doi":"10.1002/aqc.3684","usgsCitation":"Lamont, M., Moreno, N., Camacho-Sanchez, F.Y., Acosta-Sanchez, H.H., Glaberman, S., Reyes-Lopez, M.A., and Chiari, Y., 2021, Genetic diversity of immature Kemp's ridley (Lepidochelys kempii) sea turtles from the northern Gulf of Mexico: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 31, no. 10, p. 3003-3010, https://doi.org/10.1002/aqc.3684.","productDescription":"8 p.","startPage":"3003","endPage":"3010","ipdsId":"IP-124091","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":390030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.5693359375,\n 18.35452552912664\n ],\n [\n -80.9912109375,\n 18.35452552912664\n ],\n [\n -80.9912109375,\n 30.29701788337205\n ],\n [\n -98.5693359375,\n 30.29701788337205\n ],\n [\n -98.5693359375,\n 18.35452552912664\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":222403,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":824259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moreno, Nickolas","contributorId":266057,"corporation":false,"usgs":false,"family":"Moreno","given":"Nickolas","email":"","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":824260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camacho-Sanchez, Fatima Y. 0000-0001-5557-2565","orcid":"https://orcid.org/0000-0001-5557-2565","contributorId":266058,"corporation":false,"usgs":false,"family":"Camacho-Sanchez","given":"Fatima","email":"","middleInitial":"Y.","affiliations":[{"id":54873,"text":"Instituto Politecnico Nacional","active":true,"usgs":false}],"preferred":false,"id":824261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Acosta-Sanchez, H. Hugo","contributorId":266059,"corporation":false,"usgs":false,"family":"Acosta-Sanchez","given":"H.","email":"","middleInitial":"Hugo","affiliations":[{"id":54874,"text":"Comision Nacional de Areas Naturales Protegidas","active":true,"usgs":false}],"preferred":false,"id":824262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glaberman, Scott 0000-0003-0594-4732","orcid":"https://orcid.org/0000-0003-0594-4732","contributorId":266060,"corporation":false,"usgs":false,"family":"Glaberman","given":"Scott","email":"","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":824263,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reyes-Lopez, Miguel A. 0000-0001-9939-3032","orcid":"https://orcid.org/0000-0001-9939-3032","contributorId":266061,"corporation":false,"usgs":false,"family":"Reyes-Lopez","given":"Miguel","email":"","middleInitial":"A.","affiliations":[{"id":54873,"text":"Instituto Politecnico Nacional","active":true,"usgs":false}],"preferred":false,"id":824264,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chiari, Ylenia 0000-0003-2338-8602","orcid":"https://orcid.org/0000-0003-2338-8602","contributorId":266062,"corporation":false,"usgs":false,"family":"Chiari","given":"Ylenia","email":"","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":824265,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70227641,"text":"70227641 - 2021 - Characterization of water use and water balance for the croplands of Kansas using satellite, climate, and irrigation data","interactions":[],"lastModifiedDate":"2022-01-24T15:02:28.871949","indexId":"70227641","displayToPublicDate":"2021-08-13T08:59:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of water use and water balance for the croplands of Kansas using satellite, climate, and irrigation data","docAbstract":"

Kansas is one of the most productive agricultural states in the United States, where agricultural irrigation is a primary user of underground and surface water. Because of low precipitation and declining groundwater levels in western and central Kansas, sustainable management of irrigation water resources is a critical issue in the agricultural productivity of the state. The objective of this study is to analyze and characterize the water use and water balance in the croplands of Kansas using satellite observations, meteorological data, and in situ irrigation water use records. We used actual evapotranspiration (ETa), precipitation, soil moisture, and irrigation water use to calculate water balance for Kansas in 2015 at scales of counties, climatic divisions, and groundwater management districts (GMD). The Operational Simplified Surface Energy Balance model was implemented to estimate 30-m resolution ETa. Results showed that the seasonal (May – September) precipitation, soil water storage change, and ETa are 528 mm, 80 mm, and 555 mm, respectively, on average of all croplands in the state. The annual net irrigation water consumption was 293 mm for irrigated croplands, indicating that irrigation water constitutes an substantial portion of the water supply in the state. The total volumetric irrigation water use was 3.24 km3 for all croplands within five GMDs in western and south-central Kansas, while only 0.38 km3 was outside of GMDs. The multiple regression models of ETa against precipitation and irrigation water use were statistically significant with R2 values of 0.71 and 0.87, respectively, at county and climate division scales. Regression models also indicated a higher rate of ETa response to irrigation water use than that to precipitation. Our study demonstrated the spatial patterns of crop water use and water balance in Kansas, which could provide useful information for management of irrigation agriculture and water resources for the state.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2021.107106","usgsCitation":"Ji, L., Senay, G.B., Friedrichs, M., Schauer, M., and Boiko, O., 2021, Characterization of water use and water balance for the croplands of Kansas using satellite, climate, and irrigation data: Agricultural Water Management, v. 256, 107106, 16 p., https://doi.org/10.1016/j.agwat.2021.107106.","productDescription":"107106, 16 p.","ipdsId":"IP-126709","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":451184,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agwat.2021.107106","text":"Publisher Index Page"},{"id":394759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0002-9602-321X","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":199093,"corporation":false,"usgs":false,"family":"Friedrichs","given":"MacKenzie","affiliations":[],"preferred":false,"id":831482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":181608,"corporation":false,"usgs":false,"family":"Schauer","given":"Matthew","affiliations":[],"preferred":false,"id":831483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boiko, Olena 0000-0002-2007-7852","orcid":"https://orcid.org/0000-0002-2007-7852","contributorId":272079,"corporation":false,"usgs":false,"family":"Boiko","given":"Olena","email":"","affiliations":[{"id":56343,"text":"KBR, Contractor to USGS Earth Resources Observation and Science Center","active":true,"usgs":false}],"preferred":false,"id":831484,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227722,"text":"70227722 - 2021 - Merging scientific silos: Integrating specialized approaches for thinking about and using spatial data that can provide new directions for persistent fisheries problems","interactions":[],"lastModifiedDate":"2022-01-27T13:14:18.416151","indexId":"70227722","displayToPublicDate":"2021-08-11T07:08:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Merging scientific silos: Integrating specialized approaches for thinking about and using spatial data that can provide new directions for persistent fisheries problems","docAbstract":"

By merging our specialization silos, fisheries professionals can expand the options that are available to them to address difficult fisheries and aquatic conservation problems, which require an understanding of spatial patterns in geographically large systems. Our purpose is to start a profession-wide conversation about additional ways to think about and use spatial data. We use case studies to illustrate how identifying and merging multiple specialized approaches (e.g., fish tracking, fish surveys, geomorphology, social science, jurisdictional viewpoints) can create an ensemble that has advantages over the use of any single approach alone. Thus, our perspective is not about solving a specific technical problem with a new tool, but about the benefits of identifying gaps in data from one specialized approach, and filling those gaps with data from other specialized approaches. If multiple approaches are coordinated through a larger, problem-specific planning strategy, the result can be better outcomes for difficult problems through creative integration. We encourage others to add constructive ideas to the views initiated here.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10645","usgsCitation":"Mather, M.E., Smith, J., Boles, K.M., Taylor, R., Kennedy, C., Hitchman, S.M., Rogosch, J., and Frank, H., 2021, Merging scientific silos: Integrating specialized approaches for thinking about and using spatial data that can provide new directions for persistent fisheries problems: Fisheries Magazine, v. 46, no. 10, p. 485-494, https://doi.org/10.1002/fsh.10645.","productDescription":"10 p.","startPage":"485","endPage":"494","ipdsId":"IP-108763","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":451219,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/fsh.10645","text":"External Repository"},{"id":394964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":831912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Joseph M.","contributorId":272285,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph M.","affiliations":[{"id":53980,"text":"NMFS","active":true,"usgs":false}],"preferred":false,"id":831913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boles, Kayla M.","contributorId":272286,"corporation":false,"usgs":false,"family":"Boles","given":"Kayla","email":"","middleInitial":"M.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":831914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Ryland","contributorId":272287,"corporation":false,"usgs":false,"family":"Taylor","given":"Ryland","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":831915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Cristina","contributorId":272288,"corporation":false,"usgs":false,"family":"Kennedy","given":"Cristina","affiliations":[{"id":56377,"text":"mafw","active":true,"usgs":false}],"preferred":false,"id":831916,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hitchman, Sean M.","contributorId":272289,"corporation":false,"usgs":false,"family":"Hitchman","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":831917,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogosch, Jane S.","contributorId":272290,"corporation":false,"usgs":false,"family":"Rogosch","given":"Jane S.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":831918,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Frank, Holly","contributorId":272291,"corporation":false,"usgs":false,"family":"Frank","given":"Holly","affiliations":[{"id":56378,"text":"ferc","active":true,"usgs":false}],"preferred":false,"id":831919,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70232203,"text":"70232203 - 2021 - Diet composition of Fishers (Pekania pennanti) reintroduced on the Olympic Peninsula, Washington","interactions":[],"lastModifiedDate":"2022-06-13T16:16:46.791335","indexId":"70232203","displayToPublicDate":"2021-08-06T11:05:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2901,"text":"Northwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diet composition of Fishers (Pekania pennanti) reintroduced on the Olympic Peninsula, Washington","title":"Diet composition of Fishers (Pekania pennanti) reintroduced on the Olympic Peninsula, Washington","docAbstract":"

Knowledge of diet composition can inform management strategies and efforts to recover endangered carnivore populations in vacant portions of their historic ranges. One such species, the Fisher (Pekania pennanti), was extirpated in Washington State prior to any formal documentation of its food habits in the coastal coniferous forests of western Washington. Fisher recovery efforts in Washington, based on translocating Fishers from extant populations, have been ongoing since 2008, beginning with the release of 90 Fishers on Washington's Olympic Peninsula from 2008 to 2010. We collected fecal samples or digestive tracts from 13 Fishers opportunistically on the Olympic Peninsula from 2009 through 2013. Subsequently, we identified the species composition of each sample's contents to determine the primary foods consumed by the reintroduced Fishers. Fisher diets were diverse and dominated by mammalian prey. Contents of feces and digestive tracts of Fishers were composed primarily of Snowshoe Hare (Lepus americanus) remains, followed by lesser proportions of Mountain Beavers (Aplodontia rufa), Northern Flying Squirrels (Glaucomys sabrinus), Douglas Squirrels (Tamiasciurus douglasii), Southern Red-backed Voles (Myodes gapperi), shrews (Sorex spp.), and unidentified ungulate species. The diet of Fishers comprised species that occur across a wide range of land uses and management prescriptions, including previously logged forests and mature forests that have been set aside for retention of old-growth forest characteristics. Additional study of prey abundance and Fisher foraging behaviors related to structural habitat characteristics across a gradient of land uses would provide useful insights for enhancing the effectiveness of conservation efforts to benefit Fishers in Pacific Northwest coastal forests.

","language":"English","publisher":"Society for Northwestern Vertebrate Biology","doi":"10.1898/NWN20-08","usgsCitation":"Happe, P.J., Pace, S.H., Prugh, L., Jenkins, K., Lewis, J.C., and Hagar, J., 2021, Diet composition of Fishers (Pekania pennanti) reintroduced on the Olympic Peninsula, Washington: Northwestern Naturalist, v. 102, no. 2, p. 97-108, https://doi.org/10.1898/NWN20-08.","productDescription":"12 p.","startPage":"97","endPage":"108","ipdsId":"IP-117708","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":402099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Olympic Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.21142578125,\n 46.98774725646568\n ],\n [\n -124.21691894531249,\n 46.90899838277448\n ],\n [\n -123.8653564453125,\n 46.95776134668866\n ],\n [\n -122.947998046875,\n 47.040182144806664\n ],\n [\n -122.7117919921875,\n 47.11873795272715\n ],\n [\n -122.4755859375,\n 47.297859249409825\n ],\n [\n -122.34924316406251,\n 47.39834920035926\n ],\n [\n -122.4041748046875,\n 47.431803338643334\n ],\n [\n -122.44262695312501,\n 47.56170075451973\n ],\n [\n -122.4810791015625,\n 47.70976154266637\n ],\n [\n -122.44262695312501,\n 47.73932336136857\n ],\n [\n -122.4920654296875,\n 47.916342040161155\n ],\n [\n -122.59643554687499,\n 47.964180715412276\n ],\n [\n -122.65686035156249,\n 48.09275716032736\n ],\n [\n -122.7557373046875,\n 48.17707562779612\n ],\n [\n -122.90954589843749,\n 48.12943437745315\n ],\n [\n -123.01391601562499,\n 48.122101028190805\n ],\n [\n -123.12927246093751,\n 48.188063481211415\n ],\n [\n -123.32702636718749,\n 48.151428143221224\n ],\n [\n -123.662109375,\n 48.19538740833338\n ],\n [\n -124.0191650390625,\n 48.213692646648035\n ],\n [\n -124.57946777343751,\n 48.40732607972984\n ],\n [\n -124.7552490234375,\n 48.42920055556841\n ],\n [\n -124.76623535156251,\n 48.17707562779612\n ],\n [\n -124.67285156250001,\n 47.87214396888731\n ],\n [\n -124.46960449218751,\n 47.73562905149295\n ],\n [\n -124.354248046875,\n 47.33510005753559\n ],\n [\n -124.2279052734375,\n 47.19717795172789\n ],\n [\n -124.21142578125,\n 46.98774725646568\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"102","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Happe, Patricia J.","contributorId":50983,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":16133,"text":"National Park Service, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":844584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pace, Shelby H.","contributorId":292446,"corporation":false,"usgs":false,"family":"Pace","given":"Shelby","email":"","middleInitial":"H.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":844599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prugh, Laura R.","contributorId":257957,"corporation":false,"usgs":false,"family":"Prugh","given":"Laura R.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":844600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Kurt 0000-0003-1415-6607","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":221472,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lewis, Jeffrey C.","contributorId":141090,"corporation":false,"usgs":false,"family":"Lewis","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":13674,"text":"WDFW","active":true,"usgs":false}],"preferred":false,"id":844601,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","affiliations":[{"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":844602,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227048,"text":"70227048 - 2021 - Registration and application of sea lamprey pheromones for sea lamprey control in the United States and Canada","interactions":[],"lastModifiedDate":"2021-12-28T14:58:03.239658","indexId":"70227048","displayToPublicDate":"2021-07-31T08:50:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Registration and application of sea lamprey pheromones for sea lamprey control in the United States and Canada","docAbstract":"

Since the identification of 3-trifluoromethyl-4-nitrophenol as a lampricide in the 1950s, control of sea lamprey populations in the Great Lakes has largely relied on lampricides, barriers, and traps. Lampricide treatments target larval lampreys in tributaries of the Great Lakes. The Great Lakes Fishery Commission oversees sea lamprey control efforts and has invested in technologies that may target other life stages to provide a more integrated approach to sea lamprey control. One technology under development is the use of pheromones to alter behavior of spawning adults. Pheromones are considered biopesticides, which are substances made from naturally occurring products, or derived from living organisms, or a microorganism, that controls pests. We provide a review of sea lamprey management that led to the development of pheromone registration. We also describe the process used to register the first vertebrate pheromone, 3-ketopetromyzonal-24-sulfate (3kPZS) in the United States and Canada and its potential uses in sea lamprey control as a supplemental tool to chemical lampricides.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.07.017","usgsCitation":"Fredricks, K.T., Johnson, N.S., Hubert, T., and Siefkes, M., 2021, Registration and application of sea lamprey pheromones for sea lamprey control in the United States and Canada: Journal of Great Lakes Research, v. 47, no. 1, p. 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Kim T. 0000-0003-2363-7891 kfredricks@usgs.gov","orcid":"https://orcid.org/0000-0003-2363-7891","contributorId":173994,"corporation":false,"usgs":true,"family":"Fredricks","given":"Kim","email":"kfredricks@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":829374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":829375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubert, Terrance 0000-0001-9712-1738","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":215420,"corporation":false,"usgs":false,"family":"Hubert","given":"Terrance","affiliations":[{"id":39242,"text":"UMESC (retired)","active":true,"usgs":false}],"preferred":false,"id":829376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siefkes, Mike","contributorId":270482,"corporation":false,"usgs":false,"family":"Siefkes","given":"Mike","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":829377,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223352,"text":"70223352 - 2021 - A typology of drought decision making: Synthesizing across cases to understand drought preparedness and response actions","interactions":[],"lastModifiedDate":"2021-08-24T12:47:03.61403","indexId":"70223352","displayToPublicDate":"2021-07-31T07:43:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9149,"text":"Weather and Climate Extremes","active":true,"publicationSubtype":{"id":10}},"title":"A typology of drought decision making: Synthesizing across cases to understand drought preparedness and response actions","docAbstract":"

Drought is an inescapable reality in many regions, including much of the western United States. With climate change, droughts are predicted to intensify and occur more frequently, making the imperative for drought management even greater. Many diverse actors – including private landowners, business owners, scientists, non-governmental organizations (NGOs), and managers and policymakers within tribal, local, state, and federal government agencies – play multiple, often overlapping roles in preparing for and responding to drought. Managing water is, of course, one of the most important roles that humans play in both mitigating and responding to droughts; but, focusing only on “water managers” or “water management” fails to capture key elements related to the broader category of drought management. The respective roles played by those managing drought (as distinct from water managers), the interactions among them, and the consequences in particular contexts, are not well understood. Our team synthesized insights from 10 in-depth case studies to understand key facets of decision making about drought preparedness and response. We present a typology with four elements that collectively describe how decisions about drought preparedness and response are made (context and objective for a decision; actors responsible; choice being made or action taken; and how decisions interact with and influence other decisions). The typology provides a framework for system-level understanding of how and by whom complex decisions about drought management are made. Greater system-level understanding helps decision makers, program and research funders, and scientists to identify constraints to and opportunities for action, to learn from the past, and to integrate ecological impacts, thereby facilitating social learning among diverse participants in drought preparedness and response.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.wace.2021.100362","usgsCitation":"Cravens, A.E., Henderson, J., Friedman, J., Burkardt, N., Cooper, A.E., Haigh, T., Hayes, M., McEvoy, J., Paladino, S., Wilke, A., and Wilmer, H., 2021, A typology of drought decision making: Synthesizing across cases to understand drought preparedness and response actions: Weather and Climate Extremes, v. 33, 100362, 15 p., https://doi.org/10.1016/j.wace.2021.100362.","productDescription":"100362, 15 p.","ipdsId":"IP-114785","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":451323,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.wace.2021.100362","text":"Publisher Index Page"},{"id":388409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colordao, Idaho, Montana, New Mexico, Oklahoma, Oregon, South 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Potamilus)","interactions":[],"lastModifiedDate":"2022-04-18T11:51:52.930376","indexId":"70230579","displayToPublicDate":"2021-07-31T06:50:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Establishing conservation units to promote recovery of two threatened freshwater mussel species (Bivalvia: Unionida: Potamilus)","docAbstract":"

Population genomics has significantly increased our ability to make inferences about microevolutionary processes and demographic histories, which have the potential to improve protection and recovery of imperiled species. Freshwater mussels (Bivalvia: Unionida) represent one of the most imperiled groups of organisms globally. Despite systemic decline of mussel abundance and diversity, studies evaluating spatiotemporal changes in distribution, demographic histories, and ecological factors that threaten long-term persistence of imperiled species remain lacking. In this study, we use genotype-by-sequencing (GBS) and mitochondrial sequence data (mtDNA) to define conservation units (CUs) for two highly imperiled freshwater mussel species, Potamilus amphichaenus and Potamilus streckersoni. We then synthesize our molecular findings with details from field collections spanning from 1901 to 2019 to further elucidate distributional trends, contemporary status, and other factors that may be contributing to population declines for our focal species. We collected GBS and mtDNA data for individuals of P. amphichaenus and P. streckersoni from freshwater mussel collections in the Brazos, Neches, Sabine, and Trinity drainages ranging from 2012 to 2019. Molecular analyses resolved disputing number of genetic clusters within P. amphichaenus and P. streckersoni; however, we find defensible support for four CUs, each corresponding to an independent river basin. Evaluations of historical and recent occurrence data illuminated a generally increasing trend of occurrence in each of the four CUs, which were correlated with recent increases in sampling effort. Taken together, these findings suggest that P. amphichaenus and P. streckersoni are likely rare throughout their respective ranges. Because of this, the establishment of CUs will facilitate evidence-based recovery planning and ensure potential captive propagation and translocation efforts are beneficial. Our synthesis represents a case study for conservation genomic assessments in freshwater mussels and provides a model for future studies aimed at recovery planning for these highly imperiled organisms.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7897","usgsCitation":"Smith, C.H., Johnson, N., Robertson, C.R., Doyle, R.D., and Randklev, C.R., 2021, Establishing conservation units to promote recovery of two threatened freshwater mussel species (Bivalvia: Unionida: Potamilus): Ecology and Evolution, v. 11, no. 16, p. 11102-11122, https://doi.org/10.1002/ece3.7897.","productDescription":"21 p.","startPage":"11102","endPage":"11122","ipdsId":"IP-122485","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":451325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7897","text":"Publisher Index Page"},{"id":398911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"16","noUsgsAuthors":false,"publicationDate":"2021-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Chase H. 0000-0002-1499-0311","orcid":"https://orcid.org/0000-0002-1499-0311","contributorId":225140,"corporation":false,"usgs":false,"family":"Smith","given":"Chase","email":"","middleInitial":"H.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":840787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nathan 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":210319,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":840788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Clinton R.","contributorId":290319,"corporation":false,"usgs":false,"family":"Robertson","given":"Clinton","email":"","middleInitial":"R.","affiliations":[{"id":62404,"text":"Texas Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":840789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doyle, Robert D.","contributorId":239937,"corporation":false,"usgs":false,"family":"Doyle","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":840790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Randklev, Charles R.","contributorId":202530,"corporation":false,"usgs":false,"family":"Randklev","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":840791,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70234099,"text":"70234099 - 2021 - Land surface temperature differences between natural and artificial turf sports fields as estimated from satellite: Examples from the United States and Europe","interactions":[],"lastModifiedDate":"2024-10-28T16:49:01.177992","indexId":"70234099","displayToPublicDate":"2021-07-31T06:48:06","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Land surface temperature differences between natural and artificial turf sports fields as estimated from satellite: Examples from the United States and Europe","docAbstract":"
An increasing number of sports fields around the world are equipped with artificial turf. This solution has been endorsed by numerous sports federations, despite concerns about the potential for injuries and higher surface temperatures. In this work we analyzed land surface temperature in 4 pairs of natural and artificial turf sports fields in Europe and the United States using Landsat-8 data. Surface temperatures in the artificial turf fields were found to be significantly higher (14.8 K in one case) with important variability throughout the year. Landsat imagery processed using Google Earth Engine was demonstrated to be adequate to profile surface temperatures across seasons and support both research and decision making. This work is part of a broader effort to generate a comprehensive database of surface temperature in sports fields under different conditions.
","conferenceTitle":"International Geoscience and Remote Sensing Symposium","conferenceDate":"July 11-16, 2021","conferenceLocation":"Brussels, Belgium","language":"English","publisher":"International Geoscience and Remote Sensing","doi":"10.1109/IGARSS47720.2021.9554145","usgsCitation":"Mantas, V.M., and Xian, G.Z., 2021, Land surface temperature differences between natural and artificial turf sports fields as estimated from satellite: Examples from the United States and Europe, International Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 11-16, 2021, p. 1777-1780, https://doi.org/10.1109/IGARSS47720.2021.9554145.","productDescription":"4 p.","startPage":"1777","endPage":"1780","ipdsId":"IP-125811","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":404554,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mantas, Vasco M. 0000-0001-9602-7715","orcid":"https://orcid.org/0000-0001-9602-7715","contributorId":294356,"corporation":false,"usgs":false,"family":"Mantas","given":"Vasco","email":"","middleInitial":"M.","affiliations":[{"id":63561,"text":"University of Coimbra, CITEUC, Portugal","active":true,"usgs":false}],"preferred":false,"id":847800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":238919,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":847801,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70222471,"text":"70222471 - 2021 - Past abrupt changes, tipping points and cascading impacts in the Earth system","interactions":[],"lastModifiedDate":"2021-08-17T14:56:44.611963","indexId":"70222471","displayToPublicDate":"2021-07-29T08:30:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Past abrupt changes, tipping points and cascading impacts in the Earth system","docAbstract":"

The geological record shows that abrupt changes in the Earth system can occur on timescales short enough to challenge the capacity of human societies to adapt to environmental pressures. In many cases, abrupt changes arise from slow changes in one component of the Earth system that eventually pass a critical threshold, or tipping point, after which impacts cascade through coupled climate–ecological–social systems. The chance of detecting abrupt changes and tipping points increases with the length of observations. The geological record provides the only long-term information we have on the conditions and processes that can drive physical, ecological and social systems into new states or organizational structures that may be irreversible within human time frames. Here, we use well-documented abrupt changes of the past 30 kyr to illustrate how their impacts cascade through the Earth system. We review useful indicators of upcoming abrupt changes, or early warning signals, and provide a perspective on the contributions of palaeoclimate science to the understanding of abrupt changes in the Earth system.


","language":"English","publisher":"Nature","doi":"10.1038/s41561-021-00790-5","usgsCitation":"Brovkin, V., Brook, E.J., Williams, J., Bathiany, S., Lenton, T., Barton, M., DeConto, R., Donges, J., Ganopolski, A., McManus, J., Praetorius, S.K., de Vernal, A., Abe-Ouchi, A., Cheng, H., Claussen, M., Crucifix, M., Iglesias, V., Kaufman, D.S., Kleinen, T., Lambert, F., van der Leeuw, S., Liddy, H., Loutre, M., McGee, D., Rehfeld, K., Rhodes, R.H., Seddon, A.W., Vanderveken, L., and Yu, Z., 2021, Past abrupt changes, tipping points and cascading impacts in the Earth system: Nature Geoscience, v. 14, p. 550-558, https://doi.org/10.1038/s41561-021-00790-5.","productDescription":"9 p.","startPage":"550","endPage":"558","ipdsId":"IP-113420","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467229,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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Non-perennial streams are widespread, critical to ecosystems and society, and the subject of ongoing policy debate. Prior large-scale research on stream intermittency has been based on long-term averages, generally using annually aggregated data to characterize a highly variable process. As a result, it is not well understood if, how, or why the hydrology of non-perennial streams is changing. Here, we investigate trends and drivers of three intermittency signatures that describe the duration, timing, and dry-down period of stream intermittency across the continental United States (CONUS). Half of gages exhibited a significant trend through time in at least one of the three intermittency signatures, and changes in no-flow duration were most pervasive (41% of gages). Changes in intermittency were substantial for many streams, and 7% of gages exhibited changes in annual no-flow duration exceeding 100 days during the study period. Distinct regional patterns of change were evident, with widespread drying in southern CONUS and wetting in northern CONUS. These patterns are correlated with changes in aridity, though drivers of spatiotemporal variability were diverse across the three intermittency signatures. While the no-flow timing and duration were strongly related to climate, dry-down period was most strongly related to watershed land use and physiography. Our results indicate that non-perennial conditions are increasing in prevalence over much of CONUS and binary classifications of 'perennial' and 'non-perennial' are not an accurate reflection of this change. Water management and policy should reflect the changing nature and diverse drivers of changing intermittency both today and in the future.

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Adélie penguins","docAbstract":"

Group-size variation is common in colonially breeding species, including seabirds, whose breeding colonies can vary in size by several orders of magnitude. Seabirds are some of the most threatened marine taxa and understanding the drivers of colony size variation is more important than ever. Reproductive success is an important demographic parameter that can impact colony size, and it varies in association with a number of factors, including nesting habitat quality. Within colonies, seabirds often aggregate into distinct groups or subcolonies that may vary in quality. We used data from two colonies of Adélie penguins 73 km apart on Ross Island, Antarctica, one large and one small to investigate (1) How subcolony habitat characteristics influence reproductive success and (2) How these relationships differ at a small (Cape Royds) and large (Cape Crozier) colony with different terrain characteristics. Subcolonies were characterized using terrain attributes (elevation, slope aspect, slope steepness, wind shelter, flow accumulation), as well group characteristics (area/size, perimeter-to-area ratio, and proximity to nest predators). Reproductive success was higher and less variable at the larger colony while subcolony characteristics explained more of the variance in reproductive success at the small colony. The most important variable influencing subcolony quality at both colonies was perimeter-to-area ratio, likely reflecting the importance of nest predation by south polar skuas along subcolony edges. The small colony contained a higher proportion of edge nests thus higher potential impact from skua nest predation. Stochastic environmental events may facilitate smaller colonies becoming “trapped” by nest predation: a rapid decline in the number of breeding individuals may increase the proportion of edge nests, leading to higher relative nest predation and hindering population recovery. Several terrain covariates were retained in the final models but which variables, the shapes of the relationships, and importance varied between colonies.

","language":"English","publisher":"Nature Publications","doi":"10.1038/s41598-021-94861-7","usgsCitation":"Schmidt, A.E., Ballard, G., Lescroël, A., Dugger, K., Jongsomjit, D., Elrod, M.L., and Ainley, D., 2021, The influence of subcolony-scale nesting habitat on the reproductive success of Adélie penguins: Scientific Reports, v. 11, 15380, 15 p., https://doi.org/10.1038/s41598-021-94861-7.","productDescription":"15380, 15 p.","ipdsId":"IP-105335","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":451374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-94861-7","text":"Publisher Index Page"},{"id":388881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Cape Crozier, Cape Royds, Ross Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 160.1806640625,\n -78.56048828398782\n ],\n [\n 173.32031249999997,\n -78.56048828398782\n ],\n [\n 173.32031249999997,\n -75.28657817848102\n ],\n [\n 160.1806640625,\n -75.28657817848102\n ],\n [\n 160.1806640625,\n -78.56048828398782\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Annie E.","contributorId":265338,"corporation":false,"usgs":false,"family":"Schmidt","given":"Annie","email":"","middleInitial":"E.","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":822578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballard, Grant","contributorId":265339,"corporation":false,"usgs":false,"family":"Ballard","given":"Grant","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":822579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lescroël, Amélie","contributorId":265340,"corporation":false,"usgs":false,"family":"Lescroël","given":"Amélie","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":822580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jongsomjit, Dennis","contributorId":265341,"corporation":false,"usgs":false,"family":"Jongsomjit","given":"Dennis","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":822581,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elrod, Megan L.","contributorId":265342,"corporation":false,"usgs":false,"family":"Elrod","given":"Megan","email":"","middleInitial":"L.","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":822582,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ainley, David G.","contributorId":265343,"corporation":false,"usgs":false,"family":"Ainley","given":"David G.","affiliations":[],"preferred":false,"id":822583,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70222452,"text":"70222452 - 2021 - Extent of impact of deep-sea nodule mining midwater plumes is influenced by sediment loading, turbulence and thresholds","interactions":[],"lastModifiedDate":"2021-07-30T14:04:25.993695","indexId":"70222452","displayToPublicDate":"2021-07-27T09:02:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Extent of impact of deep-sea nodule mining midwater plumes is influenced by sediment loading, turbulence and thresholds","docAbstract":"

Deep-sea polymetallic nodule mining research activity has substantially increased in recent years, but the expected level of environmental impact is still being established. One environmental concern is the discharge of a sediment plume into the midwater column. We performed a dedicated field study using sediment from the Clarion Clipperton Fracture Zone. The plume was monitored and tracked using both established and novel instrumentation, including acoustic and turbulence measurements. Our field studies reveal that modeling can reliably predict the properties of a midwater plume in the vicinity of the discharge and that sediment aggregation effects are not significant. The plume model is used to drive a numerical simulation of a commercial-scale operation in the Clarion Clipperton Fracture Zone. Key takeaways are that the scale of impact of the plume is notably influenced by the values of environmentally acceptable threshold levels, the quantity of discharged sediment, and the turbulent diffusivity in the Clarion Clipperton Fracture Zone.

","language":"English","publisher":"Nature","doi":"10.1038/s43247-021-00213-8","usgsCitation":"Munoz-Royo, C., Peacock, T., Alford, M., Smith, J., Le Boyer, A., Kulkarni, C., Lermusiaux, P., Haley, P., Mirabito, C., Wang, D., Adams, E., Ouillon, R., Breugem, A., Decrop, B., Lanckreit, T., Supekar, R., Rzeznik, A., Gartman, A., and Ju, S., 2021, Extent of impact of deep-sea nodule mining midwater plumes is influenced by sediment loading, turbulence and thresholds: Communications Earth & Environment, v. 2, 148, 16 p., https://doi.org/10.1038/s43247-021-00213-8.","productDescription":"148, 16 p.","ipdsId":"IP-117887","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-021-00213-8","text":"Publisher Index 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agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820089,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ju, Se-Jong","contributorId":261506,"corporation":false,"usgs":false,"family":"Ju","given":"Se-Jong","email":"","affiliations":[{"id":52861,"text":"Korea Institute of Ocean Science and Technology, Busan, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":820090,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70255193,"text":"70255193 - 2021 - Habitat selection by wolves and mountain lions during summer in western Montana","interactions":[],"lastModifiedDate":"2024-06-17T12:16:31.493985","indexId":"70255193","displayToPublicDate":"2021-07-22T07:13:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Habitat selection by wolves and mountain lions during summer in western Montana","docAbstract":"

In the Northern Rockies of the United States, predators like wolves (Canis lupus) and mountain lions (Puma concolor) have been implicated in fluctuations or declines in populations of game species like elk (Cervus canadensis) and mule deer (Odocoileus hemionus). In particular, local distributions of these predators may affect ungulate behavior, use of space, and dynamics. Our goal was to develop generalizable predictions of habitat selection by wolves and mountain lions across western Montana. We hypothesized both predator species would select habitat that maximized their chances of encountering and killing ungulates and that minimized their chances of encountering humans. We assessed habitat selection by these predators during summer using within-home range (3rd order) resource selection functions (RSFs) in multiple study areas throughout western Montana, and tested how generalizable RSF predictions were by applying them to out-of-sample telemetry data from separate study areas. Selection for vegetation cover-types varied substantially among wolves in different study areas. Nonetheless, our predictions of 3rd order selection by wolves were highly generalizable across different study areas. Wolves consistently selected simple topography where ungulate prey may be more susceptible to their cursorial hunting mode. Topographic features may serve as better proxies of predation risk by wolves than vegetation cover-types. Predictions of mountain lion distribution were less generalizable. Use of rugged terrain by mountain lions varied across ecosystem-types, likely because mountain lions targeted the habitats of different prey species in each study area. Our findings suggest that features that facilitate the hunting mode of a predator (i.e. simple topography for cursorial predators and hiding cover for stalking predators) may be more generalizable predictors of their habitat selection than features associated with local prey densities.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0254827","usgsCitation":"Mitchell, M.S., Peterson, C.J., DeCesare, N., Bishop, C.J., and Sells, S.S., 2021, Habitat selection by wolves and mountain lions during summer in western Montana: PLoS ONE, v. 16, no. 7, e0254827, 24 p., https://doi.org/10.1371/journal.pone.0254827.","productDescription":"e0254827, 24 p.","ipdsId":"IP-130414","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":451439,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0254827","text":"Publisher Index Page"},{"id":430267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.20539211607286,\n 49.10228144307132\n ],\n [\n -116.20539211607286,\n 46.39960463532046\n ],\n [\n -111.34943508482237,\n 46.39960463532046\n ],\n [\n -111.34943508482237,\n 49.10228144307132\n ],\n [\n -116.20539211607286,\n 49.10228144307132\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Collin J.","contributorId":338960,"corporation":false,"usgs":false,"family":"Peterson","given":"Collin","email":"","middleInitial":"J.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":903704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeCesare, Nicholas J.","contributorId":338961,"corporation":false,"usgs":false,"family":"DeCesare","given":"Nicholas J.","affiliations":[{"id":48627,"text":"mtfwp","active":true,"usgs":false}],"preferred":false,"id":903705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bishop, Chad J.","contributorId":338963,"corporation":false,"usgs":false,"family":"Bishop","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":903706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sells, Sarah S.","contributorId":338966,"corporation":false,"usgs":false,"family":"Sells","given":"Sarah","email":"","middleInitial":"S.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":903707,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223319,"text":"70223319 - 2021 - Mycobiome traits associated with disease tolerance predict many western North American bat species will be susceptible to white-nose syndrome","interactions":[],"lastModifiedDate":"2023-06-21T16:13:12.306551","indexId":"70223319","displayToPublicDate":"2021-07-21T18:17:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9147,"text":"Microbilogy Spectrum","active":true,"publicationSubtype":{"id":10}},"title":"Mycobiome traits associated with disease tolerance predict many western North American bat species will be susceptible to white-nose syndrome","docAbstract":"
White-nose syndrome (WNS), a fungal disease that has caused catastrophic population declines of bats in eastern North America, is rapidly spreading across the continent and now threatens previously unexposed bat species in western North America. The causal agent of WNS, the fungus Pseudogymnoascus destructans, can infect many species of hibernating bats, but susceptibility to WNS varies by host species. We previously reported that certain traits of the skin microbiome, particularly yeast diversity and abundance, of bat species in eastern North America are strongly associated with resistance to WNS. Using these traits, we developed models to predict WNS susceptibility of 13 species of western North American bats. Based on models derived from yeast species diversity, only one bat species, Myotis velifer, was predicted to be WNS resistant (i.e., may develop the disease, but with low mortality rates). We also screened yeasts found on western bats for P. destructans-antagonistic properties by spore germination and growth inhibition/competition assays and found the ability of yeasts to inhibit P. destructans in vitro to be strain specific. Similar to results of inhibition assays performed with yeasts isolated from bats in eastern North America, few yeasts isolated from bats in western North America inhibited P. destructans in vitro. Continued monitoring of western bat populations will serve to validate the accuracy of the mycobiome analysis in predicting WNS susceptibility, document population and susceptibility trends, and identify additional predictors to assess the vulnerability of naive bat populations to WNS.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/Spectrum.00254-21","usgsCitation":"Vanderwolf, K., Campbell, L., Taylor, D.R., Goldberg, T.L., Blehert, D.S., and Lorch, J., 2021, Mycobiome traits associated with disease tolerance predict many western North American bat species will be susceptible to white-nose syndrome: Microbilogy Spectrum, v. 9, no. 1, e00254-21. 11 p.; Data Release, https://doi.org/10.1128/Spectrum.00254-21.","productDescription":"e00254-21. 11 p.; Data Release","ipdsId":"IP-129959","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":451445,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/spectrum.00254-21","text":"External Repository"},{"id":388401,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418303,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H8Q23E"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vanderwolf, Karen J","contributorId":244763,"corporation":false,"usgs":false,"family":"Vanderwolf","given":"Karen J","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":821713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Lewis J. 0000-0002-7852-2250","orcid":"https://orcid.org/0000-0002-7852-2250","contributorId":244773,"corporation":false,"usgs":false,"family":"Campbell","given":"Lewis J.","affiliations":[],"preferred":false,"id":821714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Daniel R. 0000-0001-5391-0321","orcid":"https://orcid.org/0000-0001-5391-0321","contributorId":260163,"corporation":false,"usgs":false,"family":"Taylor","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":52527,"text":"National Wildlife Health Center (previous employee)","active":true,"usgs":false}],"preferred":false,"id":821715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldberg, Tony L. 0000-0003-3962-4913","orcid":"https://orcid.org/0000-0003-3962-4913","contributorId":244765,"corporation":false,"usgs":false,"family":"Goldberg","given":"Tony","email":"","middleInitial":"L.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":821716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":821717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":264594,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":821718,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228462,"text":"70228462 - 2021 - The influence of floral resources and microclimate on pollinator visitation in an agro-ecosystem","interactions":[],"lastModifiedDate":"2022-02-11T20:25:54.289843","indexId":"70228462","displayToPublicDate":"2021-07-21T14:19:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"The influence of floral resources and microclimate on pollinator visitation in an agro-ecosystem","docAbstract":"

As agriculture expands to meet the needs of a growing global population, natural ecosystems are threatened by deforestation and habitat fragmentation. Tropical agroforestry systems offer a sustainable alternative to traditional agriculture by providing food for production while also supporting biodiversity and ecosystem services. Previous studies have shown that these systems may even improve crop pollination, but the mechanisms of how these improvements occur are still poorly understood. Using coffee as a focal crop, we explored how microclimatic conditions affected nectar traits (sugar and caffeine concentration) important for pollinator visitation. We also studied how microclimate, floral traits, floral availability at the coffee plant level, availability of floral resources provided by other plant species in the agroecosystem (neighborhood floral availability), and the presence of other bees affected the amount of time bees spent foraging on coffee flowers and the proportion of coffee pollen carried on their bodies. We explored these factors using the two dominant coffee species farmed on Puerto Rico, Coffea canephora and C. arabica, under sun and shade management. We found that high nectar sugar concentration and temperature were important predictors of short floral visits (<15 seconds), while increased number of bees and open coffee flowers were important predictors of longer floral visits (16-180 seconds). High nectar caffeine concentration was an important predictor of longer visits on C. arabica flowers while the opposite was observed for C. canephora flowers. For both species, high coffee floral availability was the main predicting factor for the proportion of coffee pollen on the bees bodies. Surprisingly, neither neighborhood floral availability nor the type of coffee plantation (agroforest/shade or sun) were important predictors of bee visitation. These results suggest non-coffee flowering plants in coffee plantations were neither competitors nor facilitators of coffee plantes for pollinators. Additionally, most of the bees surveyed were carrying 80% pollen from one species (C. arabica or C. canephora), likely resulting in little heterospecific pollen deposition between Coffea and non-Coffea flowers. Shade trees in coffee plantations do not detract from pollinator visitation to coffee flowers, suggesting that the provision of multiple ecological and wildlife conservation benefits by shade trees is not in conflict with a growers ability to maximize the benefits of insect pollination on fruit production.

","language":"English","doi":"10.1016/j.agee.2020.107196","usgsCitation":"Prado, S., Collazo, J.A., Marand, M., and Irwin, R., 2021, The influence of floral resources and microclimate on pollinator visitation in an agro-ecosystem: Agriculture, Ecosystems and Environment, v. 307, 107196, 9 p., https://doi.org/10.1016/j.agee.2020.107196.","productDescription":"107196, 9 p.","ipdsId":"IP-116109","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":451449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agee.2020.107196","text":"Publisher Index Page"},{"id":395866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Adjuntas Lares,Las Marias, Maricao, Puerto Rico Utuado","volume":"307","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Prado, S.G.","contributorId":242938,"corporation":false,"usgs":false,"family":"Prado","given":"S.G.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":834360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marand, M.H.","contributorId":275849,"corporation":false,"usgs":false,"family":"Marand","given":"M.H.","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":834362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, R.E.","contributorId":242940,"corporation":false,"usgs":false,"family":"Irwin","given":"R.E.","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":834363,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223162,"text":"70223162 - 2021 - Eagles enter rotor-swept zones of wind turbines at rates that vary per turbine","interactions":[],"lastModifiedDate":"2021-08-17T14:54:58.796778","indexId":"70223162","displayToPublicDate":"2021-07-21T06:51:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Eagles enter rotor-swept zones of wind turbines at rates that vary per turbine","docAbstract":"

There is increasing pressure on wind energy facilities to manage or mitigate for wildlife collisions. However, little information exists regarding spatial and temporal variation in collision rates, meaning that mitigation is most often a blanket prescription. To address this knowledge gap, we evaluated variation among turbines and months in an aspect of collision risk—probability of entry by an eagle into a rotor-swept zone (hereafter, “probability of entry”). We examined 10,222 eagle flight paths identified and recorded by an automated bird monitoring system at a wind energy facility in Wyoming, USA. Probabilities of entry per turbine–month combination were 4.03 times greater in some months than others, ranging 0.15 to 0.62. The overall probability of entry for the riskiest turbine (i.e., the one with the greatest probability of entry) was 2.39 times greater than the least-risky turbine. Our methodology describes large variation across turbines and months in the probability of entry. If subsequently combined with information on other sources of variation (i.e., weather, topography), this approach can identify risky versus safe situations for eagles under which cost of management, curtailment prescriptions, and collision risk can be simultaneously minimized.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7911","usgsCitation":"McClure, C.J., Rolek, B.W., Braham, M.A., Miller, T.A., Duerr, A.E., McCabe, J.D., Dunn, L., and Katzner, T.E., 2021, Eagles enter rotor-swept zones of wind turbines at rates that vary per turbine: Ecology and Evolution, v. 11, no. 16, p. 11267-11274, https://doi.org/10.1002/ece3.7911.","productDescription":"8 p.","startPage":"11267","endPage":"11274","ipdsId":"IP-119556","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":451460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7911","text":"Publisher Index Page"},{"id":387911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.40234375,\n 42.45588764197166\n ],\n [\n -104.4140625,\n 42.45588764197166\n ],\n [\n -104.4140625,\n 44.24519901522129\n ],\n [\n -107.40234375,\n 44.24519901522129\n ],\n [\n -107.40234375,\n 42.45588764197166\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"16","noUsgsAuthors":false,"publicationDate":"2021-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"McClure, Christopher J.W.","contributorId":264223,"corporation":false,"usgs":false,"family":"McClure","given":"Christopher","email":"","middleInitial":"J.W.","affiliations":[{"id":54406,"text":"The Peregrine Fund, Boise, Idaho","active":true,"usgs":false}],"preferred":false,"id":821158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rolek, Brian W.","contributorId":200318,"corporation":false,"usgs":false,"family":"Rolek","given":"Brian","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":821159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braham, Melissa A.","contributorId":199740,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":34303,"text":"West Virginia University, Department of Geology & Geography","active":true,"usgs":false}],"preferred":false,"id":821160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Tricia A.","contributorId":190591,"corporation":false,"usgs":false,"family":"Miller","given":"Tricia","email":"","middleInitial":"A.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":821161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duerr, Adam E.","contributorId":190590,"corporation":false,"usgs":false,"family":"Duerr","given":"Adam","email":"","middleInitial":"E.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":821162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCabe, Jennifer D.","contributorId":264224,"corporation":false,"usgs":false,"family":"McCabe","given":"Jennifer","email":"","middleInitial":"D.","affiliations":[{"id":54406,"text":"The Peregrine Fund, Boise, Idaho","active":true,"usgs":false}],"preferred":false,"id":821163,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dunn, Leah","contributorId":217944,"corporation":false,"usgs":false,"family":"Dunn","given":"Leah","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":821164,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Katzner, Todd Eli 0000-0003-4503-8222 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8222","contributorId":264225,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd","email":"tkatzner@usgs.gov","middleInitial":"Eli","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":821165,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70230333,"text":"70230333 - 2021 - Inter-source interferometry of seismic body waves: Required conditions and examples","interactions":[],"lastModifiedDate":"2022-04-07T11:42:18.241596","indexId":"70230333","displayToPublicDate":"2021-07-19T06:37:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Inter-source interferometry of seismic body waves: Required conditions and examples","docAbstract":"

Seismic interferometry is widely applied to retrieve wavefields propagating between receivers. Another version of seismic interferometry, called inter-source interferometry, uses the principles of seismic reciprocity and expands interferometric applications to retrieve waves that propagate between two seismic sources. Previous studies of inter-source interferometry usually involve surface-wave and coda-wave estimations. We use inter-source interferometry to estimate the P-waves propagating between two sources rather than the estimation of surface waves and coda waves. We show that the recovered arrival times are dependent on the accuracy of the earthquake catalog of the two sources. Using inter-source interferometry, one can recover the waveform of the direct body waves and potentially reconstruct the waveform of coda waves, depending on the source-receiver geometry. The retrieval of these waveforms is accurate only when the wavefield is sampled with approximately 4 receivers per wavelength in the stationary phase zone. We show that using only receivers inside the stationary phase region for inter-source interferometry introduces the phase error of approximately 0.3 radians. In our study, we show an example of the P-wavefield reconstruction between two earthquakes using the seismic records from an array along San Andreas Fault. The retrieved P waves give a qualitative estimation of the thickness of the low-velocity zone of San Andreas Fault of approximately 4 km.


","language":"English","publisher":"Springer","doi":"10.1007/s00024-021-02814-y","usgsCitation":"Saengduean, P., Moschetti, M.P., and Snieder, R., 2021, Inter-source interferometry of seismic body waves: Required conditions and examples: Pure and Applied Geophysics, v. 178, p. 3441-3460, https://doi.org/10.1007/s00024-021-02814-y.","productDescription":"20 p.","startPage":"3441","endPage":"3460","ipdsId":"IP-129130","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":398300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"178","noUsgsAuthors":false,"publicationDate":"2021-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Saengduean, P.","contributorId":289901,"corporation":false,"usgs":false,"family":"Saengduean","given":"P.","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":840003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snieder, R.","contributorId":289902,"corporation":false,"usgs":false,"family":"Snieder","given":"R.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":840005,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227775,"text":"70227775 - 2021 - Belowground productivity varies by assessment technique, vegetation type, and nutrient availability in tidal freshwater forested wetlands transitioning to marsh","interactions":[],"lastModifiedDate":"2023-06-09T14:08:52.708954","indexId":"70227775","displayToPublicDate":"2021-07-16T10:25:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Belowground productivity varies by assessment technique, vegetation type, and nutrient availability in tidal freshwater forested wetlands transitioning to marsh","docAbstract":"

Wetlands along upper estuaries are characterized by dynamic transitions between forested and herbaceous communities (marsh) as salinity, hydroperiod, and nutrients change. The importance of belowground net primary productivity (BNPP) associated with fine and coarse root growth also changes but remains the dominant component of overall productivity in these important blue carbon wetlands. Appropriate BNPP assessment techniques to use in various tidal wetlands are not well-defined, and could make a difference in BNPP estimation. We hypothesized that different BNPP techniques applied among tidal wetlands differ in estimation of BNPP and possibly also correlate differently with porewater nutrient concentrations. We compare 6-month and 12-month root ingrowth, serial soil coring techniques utilizing two different calculations, and a mass balance approach (TBCA, Total Belowground Carbon Allocation) among four tidal wetland types along each of two river systems transitioning from freshwater forest to marsh. Median values of BNPP were 266 to 2946 g/m2/year among all techniques used, with lower BNPP estimation from root ingrowth cores and TBCA (266–416 g/m2/year), and higher BNPP estimation from serial coring of standing crop root biomass (using Smalley and Max-Min calculation methods) (2336–2946 g/m2/year). Root turnover (or longevity) to a soil depth of 30 cm was 2.2/year (1.3 years), 2.7/year (1.1 years), 4.5/year (0.9 years), and 1.2/year (2.6 years), respectively, for Upper Forest, Middle Forest, Lower Forest, and Marsh. Marsh had greater root biomass and BNPP, with slower root turnover (greater root longevity) versus forested wetlands. Soil porewater concentrations of NH3 and reactive phosphorus stimulated BNPP in the marsh when assessed with short-deployment BNPP techniques, indicating that pulses of mineralized nutrients may stimulate BNPP to facilitate marsh replacement of forested wetlands. Overall, ingrowth techniques appeared to represent forested wetland BNPP adequately, while serial coring may be necessary to represent herbaceous plant BNPP from rhizomes as marshes replace forested wetlands.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0253554","usgsCitation":"From, A., Krauss, K., Noe, G.E., Cormier, N., Stagg, C., Moss, R., and Whitbeck, J.L., 2021, Belowground productivity varies by assessment technique, vegetation type, and nutrient availability in tidal freshwater forested wetlands transitioning to marsh: PLoS ONE, v. 16, no. 7, e0253554, 24 p.; Data Release, https://doi.org/10.1371/journal.pone.0253554.","productDescription":"e0253554, 24 p.; Data Release","ipdsId":"IP-125248","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":451492,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0253554","text":"Publisher Index Page"},{"id":395155,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417856,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GZ421B"}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Sampit River, Savannah River, Waccamaw River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.97816467285156,\n 32.05639055725355\n ],\n [\n -80.96717834472656,\n 32.09130089401913\n ],\n [\n -81.00837707519531,\n 32.118638011730695\n ],\n [\n -81.04888916015625,\n 32.108751062791974\n ],\n [\n -81.1175537109375,\n 32.171544054655016\n ],\n [\n -81.13815307617188,\n 32.227904590766364\n ],\n [\n -81.18827819824219,\n 32.20815332547324\n ],\n [\n -81.15943908691406,\n 32.130268345320815\n ],\n [\n -81.12442016601561,\n 32.076174718029634\n ],\n [\n -81.02142333984375,\n 32.06861069132688\n ],\n [\n -80.97816467285156,\n 32.05639055725355\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.01573181152344,\n 33.614047465781894\n ],\n [\n -79.18876647949219,\n 33.62719851659249\n ],\n [\n -79.33021545410156,\n 33.351179088043494\n ],\n [\n -79.34600830078125,\n 33.26797224977847\n ],\n [\n -79.21760559082031,\n 33.247301699949205\n ],\n [\n -79.13795471191406,\n 33.44060944370356\n ],\n [\n -79.01573181152344,\n 33.614047465781894\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"From, Andrew 0000-0002-6543-2627","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":221929,"corporation":false,"usgs":true,"family":"From","given":"Andrew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":832187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":207009,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":832188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":832189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cormier, N. 0000-0003-2453-9900","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":221147,"corporation":false,"usgs":false,"family":"Cormier","given":"N.","affiliations":[{"id":16788,"text":"Macquarie University","active":true,"usgs":false}],"preferred":false,"id":832190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stagg, Camille 0000-0002-1125-7253","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":221938,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":832191,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moss, Rebecca 0000-0002-7599-9758 mossr@usgs.gov","orcid":"https://orcid.org/0000-0002-7599-9758","contributorId":169722,"corporation":false,"usgs":true,"family":"Moss","given":"Rebecca","email":"mossr@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":832192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whitbeck, Julie L. 0000-0003-0848-2529","orcid":"https://orcid.org/0000-0003-0848-2529","contributorId":272590,"corporation":false,"usgs":false,"family":"Whitbeck","given":"Julie","email":"","middleInitial":"L.","affiliations":[{"id":56386,"text":"National Park Service, New Orleans, LA, USA","active":true,"usgs":false}],"preferred":false,"id":832193,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70224570,"text":"70224570 - 2021 - Down to Earth with nuclear electromagnetic pulse: Realistic surface impedance affects mapping of the E3 geoelectric hazard","interactions":[],"lastModifiedDate":"2021-09-28T12:22:22.806471","indexId":"70224570","displayToPublicDate":"2021-07-15T07:20:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9361,"text":"Earth and Space Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Down to Earth with nuclear electromagnetic pulse: Realistic surface impedance affects mapping of the E3 geoelectric hazard","docAbstract":"

An analysis is made of Earth-surface geoelectric fields and voltages on electricity transmission power-grids induced by a late-phase E3 nuclear electromagnetic pulse (EMP). A hypothetical scenario is considered of an explosion of several hundred kilotons set several hundred kilometers above the eastern-midcontinental United States. Ground-level E3 geoelectric fields are estimated by convolving a standard parameterization of E3 geomagnetic field variation with magnetotelluric Earth-surface impedance tensors derived from wideband measurements acquired across the study region during a recent survey. These impedance tensors are a function of subsurface three-dimensional electrical conductivity structure. Results, presented as a movie-map, demonstrate that localized differences in surface impedance strongly distort the amplitude, polarization, and variational phase of induced E3 geoelectric fields. Locations with a high degree of E3 geoelectric polarization tend to have high geoelectric amplitude. Uniform half-space models and one-dimensional, depth-dependent models of Earth-surface impedance, such as those widely used in government and industry reports informing power-grid vulnerability assessment projects, do not provide accurate estimates of the E3 geoelectric hazard in complex geological settings. In particular, for the Eastern-Midcontinent, half-space models can lead to (order-one) overestimates/underestimates of EMP-induced geovoltages on parts of the power grid by as much as \"urn:x-wiley:23335084:media:ess2899:ess2899-math-0001\"1,000 volts (a range of 2,000 volts)—comparable to the amplitudes of the geovoltages themselves.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021EA001792","usgsCitation":"Love, J.J., Lucas, G., Murphy, B.S., Bedrosian, P.A., Rigler, E.J., and Kelbert, A., 2021, Down to Earth with nuclear electromagnetic pulse: Realistic surface impedance affects mapping of the E3 geoelectric hazard: Earth and Space Sciences, v. 8, no. 8, e2021EA001792, 25 p., https://doi.org/10.1029/2021EA001792.","productDescription":"e2021EA001792, 25 p.","ipdsId":"IP-128556","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":451509,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021ea001792","text":"Publisher Index Page"},{"id":389861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":824100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Greg M. 0000-0003-1331-1863","orcid":"https://orcid.org/0000-0003-1331-1863","contributorId":223556,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg M.","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":824101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Benjamin Scott 0000-0001-7636-3711","orcid":"https://orcid.org/0000-0001-7636-3711","contributorId":242928,"corporation":false,"usgs":true,"family":"Murphy","given":"Benjamin","email":"","middleInitial":"Scott","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":824102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":824103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":824104,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":824105,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70229379,"text":"70229379 - 2021 - A case for multiscale habitat selection studies of small mammals","interactions":[],"lastModifiedDate":"2022-03-04T15:29:53.836594","indexId":"70229379","displayToPublicDate":"2021-07-12T09:18:48","publicationYear":"2021","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":"A case for multiscale habitat selection studies of small mammals","docAbstract":"

Habitat information for small mammals typically consists of anecdotal descriptions or infrequent analyses of habitat use, which often are reported erroneously as signifying habitat preference, requirements, or quality. Habitat preferences can be determined only by analysis of habitat selection, a behavioral process that results in the disproportionate use of one resource over other available resources and occurs in a hierarchical manner across different environmental scales. North American chipmunks (Neotamias and Tamias) are a prime example of the lack of studies on habitat selection for small mammal species. We used the Organ Mountains Colorado chipmunk (N. quadrivittatus australis) as a case study to determine whether previous descriptions of habitat in the literature were upheld in a multiscale habitat selection context. We tracked VHF radiocollared chipmunks and collected habitat information at used and available locations to analyze habitat selection at three scales: second order (i.e., home range), third order (i.e., within home range), and microhabitat scales. Mean home range was 2.55 ha ± 1.55 SD and did not differ between sexes. At the second and third order, N. q. australis avoided a coniferous forest land cover type and favored particular areas of arroyos (gullies) that were relatively steep-sided and greener and contained montane scrub land cover type. At the microhabitat scale, chipmunks selected areas that had greater woody plant diversity, rock ground cover, and ground cover of coarse woody debris. We concluded that habitat selection by N. q. australis fundamentally was different from descriptions of habitat in the literature that described N. quadrivittatus as primarily associated with coniferous forests. We suggest that arroyos, which are unique and rare on the landscape, function as climate refugia for these chipmunks because they create a cool, wet microclimate. Our findings demonstrate the importance of conducting multiscale habitat selection studies for small mammals to ensure that defensible and enduring habitat information is available to support appropriate conservation and management actions.

","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyab071","usgsCitation":"Schweiger, B.R., Frey, J., and Cain, J.W., 2021, A case for multiscale habitat selection studies of small mammals: Journal of Mammalogy, v. 102, no. 5, p. 1249-1265, https://doi.org/10.1093/jmammal/gyab071.","productDescription":"17 p.","startPage":"1249","endPage":"1265","ipdsId":"IP-124591","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":451542,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyab071","text":"Publisher Index Page"},{"id":396751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","county":"Doña Ana County","otherGeospatial":"Aguirre Springs Recreation Area, Organ Mountains-Desert Peaks National Monument","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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Climate change uncertainty poses serious challenges to conservation efforts. One emerging conservation strategy is to identify and conserve climate change refugia: areas relatively buffered from contemporary climate change that enable persistence of valued resources. This management paradigm may be pursued at broad scales by leveraging existing resources and placing them into a tangible framework to stimulate further collaboration that fosters management decision-making. Here, we describe a framework for moving toward operationalizing climate change refugia conservation at an ecoregion scale with an analysis for the Sierra Nevada ecoregion (CA, USA). Structured within the Climate Change Refugia Conservation Cycle, we identify a preliminary suite of conservation priorities for the ecoregion, and demonstrate how existing mapping, data, and applications could be used for identifying, prioritizing, managing, and monitoring refugia. We focus on six stakeholder-identified conservation priorities, including two process-based refugial priorities (snow and fire), and four ecosystem-based refugial priorities (meadows, giant sequoia, old growth forests, and alpine communities). This pilot overview of concepts and resources provides a foundation for both near-term implementation and further discussion in moving from science to conservation practice. Such an approach may provide new practical insights for ecosystem management at ecoregion scales in the face of climate change.

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