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Introduction

Due to Idaho’s inland location approximately 350 miles from the Pacific Ocean and its 80 recognized mountain ranges, the State’s climate varies widely, with maritime influence in the northern and western parts of Idaho and continental influence on the eastern side. The weather in the abundant mountains is unpredictable and often associated with natural hazards such as severe thunder and lightning storms leading to flooding, landslides, and wildfires. Issues important to Idaho’s economy include river, stream, and forest resource management, and infrastructure and construction management. Idaho participated in the U.S. Geological Survey 3D Elevation Program (3DEP) in 2016, the State’s first 3DEP project. The success of this project led to development of the Idaho Statewide Lidar Plan. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.

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\"}}]}","contact":"

Director, National Geospatial Program
U.S. Geological Survey
12201 Sunrise Valley Drive, Mail Stop 511
Reston, VA 20192

Email: 3DEP@usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-10-10","noUsgsAuthors":false,"publicationDate":"2023-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Tom 0000-0002-5682-8988","orcid":"https://orcid.org/0000-0002-5682-8988","contributorId":304658,"corporation":false,"usgs":true,"family":"Carlson","given":"Tom","email":"","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":885034,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70249786,"text":"70249786 - 2023 - Combining resilience and resistance with threat-based approaches for prioritizing management actions in sagebrush ecosystems","interactions":[],"lastModifiedDate":"2023-11-20T17:40:10.691627","indexId":"70249786","displayToPublicDate":"2023-10-10T07:06:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Combining resilience and resistance with threat-based approaches for prioritizing management actions in sagebrush ecosystems","docAbstract":"

The sagebrush biome is a dryland region in the western United States experiencing rapid transformations to novel ecological states. Threat-based approaches for managing anthropogenic and ecosystem threats have recently become prominent, but successfully mitigating threats depends on the ecological resilience of ecosystems. We used a spatially explicit approach for prioritizing management actions that combined a threat-based model with models of resilience to disturbance and resistance to annual grass invasion. The threat-based model assessed geographic patterns in sagebrush ecological integrity (SEI) to identify core sagebrush, growth opportunity, and other rangeland areas. The resilience and resistance model identified ecologically relevant climate and soil water availability indicators from process-based ecohydrological models. The SEI areas and resilience and resistance indicators were consistent—the resilience and resistance indicators showed generally positive relationships with the SEI areas. They also were complementary—SEI areas provided information on intact sagebrush areas and threats, while resilience and resistance provided information on responses to disturbances and management actions. The SEI index and resilience and resistance indicators provide the basis for prioritizing conservation and restoration actions and determining appropriate strategies. The difficulty and time required to conserve or restore SEI areas increase as threats increases and resilience and resistance decrease.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13021","usgsCitation":"Chambers, J., Brown, J.L., Bradford, J., Doherty, K., Crist, M., Schlaepfer, D.R., Urza, A.K., and Short, K., 2023, Combining resilience and resistance with threat-based approaches for prioritizing management actions in sagebrush ecosystems: Conservation Science and Practice, v. 5, no. 11, e13021, 16 p., https://doi.org/10.1111/csp2.13021.","productDescription":"e13021, 16 p.","ipdsId":"IP-155040","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":441910,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13021","text":"Publisher Index Page"},{"id":422185,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118,\n 46\n ],\n [\n -118,\n 35\n ],\n [\n -100,\n 35\n ],\n [\n -100,\n 46\n ],\n [\n -118,\n 46\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Chambers, Jeanne C.","contributorId":328379,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":887028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Jessi L.","contributorId":44817,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","email":"","middleInitial":"L.","affiliations":[{"id":13184,"text":"Program in Ecology, Evolution and Conservation Biology, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":887029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":887030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doherty, Kevin 0000-0003-3635-7346","orcid":"https://orcid.org/0000-0003-3635-7346","contributorId":176149,"corporation":false,"usgs":false,"family":"Doherty","given":"Kevin","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":887031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crist, Michele R.","contributorId":178453,"corporation":false,"usgs":false,"family":"Crist","given":"Michele R.","affiliations":[],"preferred":false,"id":887032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":887033,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Urza, Alexandra K. 0000-0001-9795-6735","orcid":"https://orcid.org/0000-0001-9795-6735","contributorId":261259,"corporation":false,"usgs":false,"family":"Urza","given":"Alexandra","email":"","middleInitial":"K.","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":887034,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Short, Karen","contributorId":328378,"corporation":false,"usgs":false,"family":"Short","given":"Karen","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":887035,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70249530,"text":"70249530 - 2023 - Does release size into net-pens affect survival of captively reared juvenile endangered suckers in Upper Klamath Lake?","interactions":[],"lastModifiedDate":"2023-11-07T16:19:31.381331","indexId":"70249530","displayToPublicDate":"2023-10-10T06:56:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Does release size into net-pens affect survival of captively reared juvenile endangered suckers in Upper Klamath Lake?","docAbstract":"

Objective

High juvenile mortality prevents recruitment into the adult populations of endangered Shortnose Sucker Chasmistes brevirostris and Lost River Sucker Deltistes luxatus in Upper Klamath Lake, Oregon. To address the lack of recruitment, the U.S. Fish and Wildlife Service implemented the Sucker Assisted Rearing Program (SARP). Managers developing the rearing program lack information about how length at release relates to survival. To determine how initial length affects survival of captively reared juvenile suckers, we introduced juvenile suckers from the SARP into three net-pens in Upper Klamath Lake.

Methods

The juvenile suckers ranged from 102 to 284 mm standard length, and each fish was tagged with a passive integrated transponder (PIT) tag. Fish were monitored continuously by PIT antennas and mortality was inferred when movements ceased.

Result

Estimated survival over 57 days was high in all net-pens (0.79–1.00) and remained high at two net-pens for 76 and 86 days. Adjusted survival curves resulting from a stratified Cox model with standard length as a covariate, indicated that length positively influenced predicted survival by as much as 41% at one site. During the study, pH and dissolved oxygen regularly exceeded no-effect thresholds at two sites and briefly reached lethal thresholds at the same two sites but did not coincide with the observed mortalities. Slower growth and the lowest survival were observed at the third site, where water quality never exceeded thresholds.

Conclusion

A larger release size and the location of the net-pen can improve the survivability of juvenile suckers in net-pens in Upper Klamath Lake.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10933","usgsCitation":"Caldwell, J.M., Burdick, S.M., Krause, J.R., and Harris, A., 2023, Does release size into net-pens affect survival of captively reared juvenile endangered suckers in Upper Klamath Lake?: North American Journal of Fisheries Management, v. 43, no. 5, p. 1322-1336, https://doi.org/10.1002/nafm.10933.","productDescription":"15 p.","startPage":"1322","endPage":"1336","ipdsId":"IP-144776","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":435151,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JE15XZ","text":"USGS data release","linkHelpText":"Detections, Physical Captures, Water Quality, and Fish Health associated with Endangered Suckers in Three Net Pens in Upper Klamath Lake, 2020"},{"id":421902,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.2589402064643,\n 42.721377871574475\n ],\n [\n -122.2589402064643,\n 42.11308416751328\n ],\n [\n -121.54757546037055,\n 42.11308416751328\n ],\n [\n -121.54757546037055,\n 42.721377871574475\n ],\n [\n -122.2589402064643,\n 42.721377871574475\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Caldwell, John Michael 0000-0002-3210-2226","orcid":"https://orcid.org/0000-0002-3210-2226","contributorId":328462,"corporation":false,"usgs":true,"family":"Caldwell","given":"John","email":"","middleInitial":"Michael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":886092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":886093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krause, Jacob Richard 0000-0002-9804-2481","orcid":"https://orcid.org/0000-0002-9804-2481","contributorId":300701,"corporation":false,"usgs":true,"family":"Krause","given":"Jacob","email":"","middleInitial":"Richard","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":886094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Alta C. 0000-0002-2123-3028 aharris@usgs.gov","orcid":"https://orcid.org/0000-0002-2123-3028","contributorId":3490,"corporation":false,"usgs":true,"family":"Harris","given":"Alta C.","email":"aharris@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":886095,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263689,"text":"70263689 - 2023 - Influences of landscape composition on hunter-harvested mallard body mass and condition in eastern Arkansas","interactions":[],"lastModifiedDate":"2025-02-20T15:27:07.492566","indexId":"70263689","displayToPublicDate":"2023-10-10T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16872,"text":"The Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Influences of landscape composition on hunter-harvested mallard body mass and condition in eastern Arkansas","docAbstract":"

Waterfowl with more body mass and a greater body condition during the non-breeding season are thought to be more likely to survive and have increased productivity during the following breeding season. Body mass and body condition in waterfowl should reflect the resources available to them locally. We analyzed the relationship of landscape composition on mallard (Anas platyrhynchos) body mass and body condition (mass-wing length index) among age and sex groups. We calculated these variables from hunter-harvested mallards during the 2019–2020 and 2020–2021 duck hunting seasons in the Lower Mississippi Alluvial Valley of Arkansas, USA. We used linear mixed-effects models to analyze changes in body mass and body condition with changes in the percent landscape composition of water cover, woody wetlands, herbaceous wetlands, rice, soybeans, and disturbance. We found that body mass and condition of harvested mallards were positively associated with greater proportions of water cover and woody wetlands but negatively associated with greater proportions of herbaceous wetlands and human disturbance from human infrastructure. Management actions focused on providing flooded and woody wetland areas on the landscape that allow waterfowl to access food resources, while decreasing the disturbance around wetlands in the form of road density and human infrastructure, should increase body mass and body condition in mallards spending the non-breeding season in the Lower Mississippi Alluvial Valley.

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\"}}]}","volume":"88","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Veon, John T.","contributorId":351068,"corporation":false,"usgs":false,"family":"Veon","given":"John T.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":927830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, David G.","contributorId":351069,"corporation":false,"usgs":false,"family":"Krementz","given":"David G.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":927831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naylor, Luke W.","contributorId":351070,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke W.","affiliations":[{"id":37007,"text":"Arkansas Game and Fish Commission","active":true,"usgs":false}],"preferred":false,"id":927832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":927833,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70249494,"text":"70249494 - 2023 - Spatially explicit models of seed availability improve predictions of conifer regeneration following the 2018 Carr Fire in northern California","interactions":[],"lastModifiedDate":"2023-10-11T11:53:00.481682","indexId":"70249494","displayToPublicDate":"2023-10-09T06:49:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit models of seed availability improve predictions of conifer regeneration following the 2018 Carr Fire in northern California","docAbstract":"

For many conifer species in dry conifer forests of North America, seeds must be present for postfire regeneration to occur, suggesting that seed dispersal from surviving trees plays a critical role in postfire forest recovery. However, the application of tree fecundity and spatial arrangement to postfire conifer recovery predictions have only recently become more common, and is often included at relatively coarse scales (i.e., 30 meters). In this study, we mapped surviving trees using lidar and created a spatially explicit estimate of seed density (seed shadows) with 10 m, 50 m, and 100 m median dispersal distances. We estimated the number of seeds produced by each tree using allometric relationships between tree size and fecundity. Along with the seed shadows, we used a suite of topographic variables as inputs to negative binomial hurdle models to predict conifer seedling abundance in 131 plots following the 2018 Carr Fire in northern California, USA. We compared models using each of the seed shadows to each other as well as to a model using the distance to the nearest surviving tree, which served as a baseline. All model formulations indicated that estimated seed availability was positively associated with conifer regeneration. Despite the importance of seed availability plays in regeneration and the substantial differences in seed availability represented by the different seed shadows in our analysis, we found surprisingly little difference in model performance regardless of which seed shadow was used. However, the models employing seed shadows outperformed the models with distance to the nearest live tree. Although we have demonstrated a modest improvement in predicting postfire conifer regeneration, the uncertainty in our results highlights the importance of tree detection and classification in future studies of this kind. Future studies may find it useful to consider other factors such as predation, site suitability, and seed mortality as potential drivers of discrepancies between total and realized dispersal kernels.

","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2023.1229123","usgsCitation":"Wright, M., van Mantgem, P., Buffington, K., Thorne, K., Engber, E., and Smith, S., 2023, Spatially explicit models of seed availability improve predictions of conifer regeneration following the 2018 Carr Fire in northern California: Frontiers in Ecology and Evolution, v. 11, 1229123, 15 p., https://doi.org/10.3389/fevo.2023.1229123.","productDescription":"1229123, 15 p.","ipdsId":"IP-144707","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":441917,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1229123","text":"Publisher Index Page"},{"id":435152,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95G11FE","text":"USGS data release","linkHelpText":"Data Describing Site Characteristics Including Conifer Regeneration Following the 2018 Carr Fire in Whiskeytown National Recreation Area"},{"id":421845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.70403381568622,\n 42.02674004186227\n ],\n [\n -124.70403381568622,\n 39.42971050773687\n ],\n [\n -121.56194397193622,\n 39.42971050773687\n ],\n [\n -121.56194397193622,\n 42.02674004186227\n ],\n [\n -124.70403381568622,\n 42.02674004186227\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engber, Eamon","contributorId":202777,"corporation":false,"usgs":false,"family":"Engber","given":"Eamon","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":885942,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Sean","contributorId":276400,"corporation":false,"usgs":false,"family":"Smith","given":"Sean","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":885943,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70248039,"text":"70248039 - 2023 - Assessing snowpack stratigraphy accuracy based on different input data: Insights for operations avalanche forecasting","interactions":[],"lastModifiedDate":"2023-10-18T15:51:35.765009","indexId":"70248039","displayToPublicDate":"2023-10-08T10:42:58","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Assessing snowpack stratigraphy accuracy based on different input data: Insights for operations avalanche forecasting","docAbstract":"

Avalanche forecasters and snow scientists use physically based snow stratigraphy models to fill spatial and temporal gaps in field-based snow profile observations. These models generate stratigraphy predictions using meteorological input from automated weather stations (AWS) or numerical weather prediction (NWP) models. The choice of input data is often determined by data availability or convenience instead of giving full consideration to the most appropriate source for a particular application. For example, while AWS may provide weather observations that better represent a particular site, they have large up-front costs and require specialized personnel to service and maintain. The goal of this study is to quantify the accuracy of snow stratigraphy produced by the SNOWPACK model driven by different input data, with a particular focus on cost-benefit analysis for operational avalanche forecasting. We generate modeled snow profiles at a field site in the Bridger Range of southwestern Montana, USA, using a) observations from an AWS at the field site and b) NWP output from the NOAA High-Resolution Rapid Refresh (HRRR) model. Validation data consist of a season-long time series of 10 manual snow profiles. We use dynamic time-warping (DTW) to quantify the overall and grain-type categorized similarities between modeled and in-situ observed profiles that are collocated in time and in space. Based on the similarity results, we present a cost-benefit analysis that considers the cost of installing and maintaining an AWS alongside the improved representation of snow depth, grain size, and weak layer types.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, International Snow Science Workshop 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Snow Science Workshop 2023","conferenceDate":"October 8-13, 2023","conferenceLocation":"Bend, OR","language":"English","publisher":"International Snow Science Workshop","usgsCitation":"Palomaki, R.T., and Miller, Z., 2023, Assessing snowpack stratigraphy accuracy based on different input data: Insights for operations avalanche forecasting, in Proceedings, International Snow Science Workshop 2023, Bend, OR, October 8-13, 2023, p. 287-294.","productDescription":"8 p.","startPage":"287","endPage":"294","ipdsId":"IP-157004","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":421974,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://arc.lib.montana.edu/snow-science/item.php?id=2889","linkFileType":{"id":5,"text":"html"}},{"id":421975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Bridger Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.94066722835859,\n 45.83656619518504\n ],\n [\n -110.94066722835859,\n 45.83190909512919\n ],\n [\n -110.92970520296628,\n 45.83190909512919\n ],\n [\n -110.92970520296628,\n 45.83656619518504\n ],\n [\n -110.94066722835859,\n 45.83656619518504\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Palomaki, Ross T. 0000-0002-3304-9914","orcid":"https://orcid.org/0000-0002-3304-9914","contributorId":299761,"corporation":false,"usgs":false,"family":"Palomaki","given":"Ross","email":"","middleInitial":"T.","affiliations":[{"id":64943,"text":"Montana State University Earth Sciences Department","active":true,"usgs":false}],"preferred":false,"id":881596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Zachary 0000-0002-6876-6710","orcid":"https://orcid.org/0000-0002-6876-6710","contributorId":214464,"corporation":false,"usgs":true,"family":"Miller","given":"Zachary","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":881597,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70248045,"text":"70248045 - 2023 - Comparing snowpack meteorological inputs to support regional wet snow avalanche forecasting","interactions":[],"lastModifiedDate":"2023-10-18T15:42:28.662716","indexId":"70248045","displayToPublicDate":"2023-10-08T10:31:48","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Comparing snowpack meteorological inputs to support regional wet snow avalanche forecasting","docAbstract":"

Wet snow avalanches are predicted to increase in frequency with climate change and are often difficult to forecast. Improving our understanding of wet snow avalanche timing will help with current forecasting challenges. The onset of wet snow avalanching is closely tied to the temporal progression of liquid water flow through the seasonal snowpack. Measuring the flow of water through the snowpack in-situ is difficult due to the spatial variability of snow depth and structure. However, physical snowpack models can potentially simulate this process. The accuracy of snowpack models is heavily dependent upon the quality of the meteorological input data. A thorough investigation of model output differences using several different meteorological inputs for forecasting water movement and wet snow avalanches has not yet been thoroughly investigated. Here, we evaluate indicators of regional wet snow avalanches produced by the SNOWPACK model using different meteorological input. We compare the accuracy of SNOWPACK modeled outputs driven by two different numerical weather prediction (NWP) forecast models: the High-Resolution Deterministic Prediction System (HRDPS) and the North American Model (NAMnest). We leverage hourly automated weather station data, daily operational avalanche observations along the Going-to-the-Sun Road in Glacier National Park, Montana, United States, and in-situ snow stratigraphy and wetness profile observations to validate the SNOWPACK modeled outputs. This research is directly applicable to avalanche forecasting operations and future avalanche research as wet snow avalanche timing evolves due to climate change.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, International Snow Science Workshop 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Snow Science Workshop 2023","conferenceDate":"October 8-13, 2023","conferenceLocation":"Bend, OR","language":"English","publisher":"International Snow Science Workshop","usgsCitation":"Miller, Z., Horton, S., Mitterer, C., and Peitzsch, E.H., 2023, Comparing snowpack meteorological inputs to support regional wet snow avalanche forecasting, in Proceedings, International Snow Science Workshop 2023, Bend, OR, October 8-13, 2023, p. 264-271.","productDescription":"8 p.","startPage":"264","endPage":"271","ipdsId":"IP-157003","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":421972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":421971,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://arc.lib.montana.edu/snow-science/item.php?id=2886","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park, Going-to-the-Sun Road study area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.55234262299646,\n 48.73306362472809\n ],\n [\n -113.74164451916323,\n 48.73306362472809\n ],\n [\n -113.74164451916323,\n 48.642925680389254\n ],\n [\n -113.55234262299646,\n 48.642925680389254\n ],\n [\n -113.55234262299646,\n 48.73306362472809\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Zachary 0000-0002-6876-6710","orcid":"https://orcid.org/0000-0002-6876-6710","contributorId":214464,"corporation":false,"usgs":true,"family":"Miller","given":"Zachary","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":881607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horton, Simon 0000-0003-2936-8688","orcid":"https://orcid.org/0000-0003-2936-8688","contributorId":328885,"corporation":false,"usgs":false,"family":"Horton","given":"Simon","email":"","affiliations":[{"id":78515,"text":"Avalanche Canada, Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":881608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitterer, Christoph 0000-0002-2268-8016","orcid":"https://orcid.org/0000-0002-2268-8016","contributorId":328886,"corporation":false,"usgs":false,"family":"Mitterer","given":"Christoph","email":"","affiliations":[{"id":78516,"text":"Avalanche Forecasting Service Tyrol","active":true,"usgs":false}],"preferred":false,"id":881609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peitzsch, Erich H. 0000-0001-7624-0455","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":202576,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":881610,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70249583,"text":"70249583 - 2023 - Temporal evolution of slab and weak layer properties during the transition from dry to wet snowpack conditions","interactions":[],"lastModifiedDate":"2023-10-18T14:58:26.08698","indexId":"70249583","displayToPublicDate":"2023-10-08T09:49:06","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Temporal evolution of slab and weak layer properties during the transition from dry to wet snowpack conditions","docAbstract":"

Wet-snow slab avalanches are destructive and may become more prevalent in a warming climate. This type of avalanche remains challenging to forecast because the underlying processes leading to wet-snow slab avalanche release are poorly understood. In this study, we examine the temporal evolution of weak layer and slab liquid water content (LWC), critical cut length, and propagation saw test (PST) results during the season's first critical melt period at our study site in the Madison Mountains of southwest Montana. We used snowpack profiles and in-situ weather station data to initialize and force the 1-D physics-based snow cover model SNOWPACK throughout the winter and spring seasons. We then used a high-resolution numerical weather model to force SNOWPACK simulations to forecast the onset of the transition from dry to wet conditions. From April 10-12, 2023, we conducted 67 PSTs, 1053 LWC measurements, 20 hardness profiles, and a full snow profile each morning and early evening. During the first two days of sampling, we observed a transition from low to high propagation propensity with decreasing cut lengths and increasing LWC. On Day 3, we observed consistently low propagation propensity, even as LWC levels remained elevated and comparable to the preceding period of high propagation propensity. This indicates that there is a point where the relationship we observed through the first two days between increasing LWC, increasing propagation propensity, and decreasing cut length no longer holds. Our results further suggest PST propagation mode may help pinpoint the onset, peak, and decline of wet-snow fracture propagation propensity.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, International Snow Science Workshop 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Snow Science Workshop 2023","conferenceDate":"October 8-13, 2023","conferenceLocation":"Bend, OR","language":"English","usgsCitation":"Lipkowitz, J., Peitzsch, E.H., Dixon, J., Kalb, M., McCabe, D., Ditmar, G., and Mitterer, C., 2023, Temporal evolution of slab and weak layer properties during the transition from dry to wet snowpack conditions, in Proceedings, International Snow Science Workshop 2023, Bend, OR, October 8-13, 2023, p. 1374-1381.","productDescription":"8 p.","startPage":"1374","endPage":"1381","ipdsId":"IP-156847","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":421965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":421964,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://arc.lib.montana.edu/snow-science/item.php?id=3063","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","otherGeospatial":"Madison Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.445,\n 45.233\n ],\n [\n -111.445,\n 45.23\n ],\n [\n -111.44,\n 45.23\n ],\n [\n -111.44,\n 45.233\n ],\n [\n -111.445,\n 45.233\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lipkowitz, Josh","contributorId":330946,"corporation":false,"usgs":false,"family":"Lipkowitz","given":"Josh","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":886304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peitzsch, Erich H. 0000-0001-7624-0455","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":202576,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":886305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dixon, Jean","contributorId":330947,"corporation":false,"usgs":false,"family":"Dixon","given":"Jean","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":886306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kalb, Marcus","contributorId":330948,"corporation":false,"usgs":false,"family":"Kalb","given":"Marcus","email":"","affiliations":[{"id":79073,"text":"Avalanche Warning Service Tyrol","active":true,"usgs":false}],"preferred":false,"id":886307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCabe, Douglas","contributorId":330949,"corporation":false,"usgs":false,"family":"McCabe","given":"Douglas","email":"","affiliations":[{"id":79074,"text":"Yellowstone Club Ski Patrol","active":true,"usgs":false}],"preferred":false,"id":886308,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ditmar, Griffin","contributorId":330950,"corporation":false,"usgs":false,"family":"Ditmar","given":"Griffin","email":"","affiliations":[{"id":79074,"text":"Yellowstone Club Ski Patrol","active":true,"usgs":false}],"preferred":false,"id":886309,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mitterer, Christoph 0000-0002-2268-8016","orcid":"https://orcid.org/0000-0002-2268-8016","contributorId":328886,"corporation":false,"usgs":false,"family":"Mitterer","given":"Christoph","email":"","affiliations":[{"id":78516,"text":"Avalanche Forecasting Service Tyrol","active":true,"usgs":false}],"preferred":false,"id":886310,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70249585,"text":"70249585 - 2023 - Spatial extent of forested avalanche terrain impacted by wildfire across the Sawtooth National Forest","interactions":[],"lastModifiedDate":"2023-10-18T15:22:06.30971","indexId":"70249585","displayToPublicDate":"2023-10-08T08:39:31","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Spatial extent of forested avalanche terrain impacted by wildfire across the Sawtooth National Forest","docAbstract":"

Forest structure is a major driver of mountain snowpacks and avalanche occurrence. Healthy forests can reduce the incidence of dangerous slab avalanches, slow avalanches when in motion, shorten their runout distances, and act as a safety buffer for backcountry users, infrastructure, and transportation corridors. Since 1984, wildfire area in the seasonal snow zone of the western United States has increased by 70% throughout the seasonal snow zone, creating significant changes to avalanche prone mountains and their connected communities. A major unknown is the impact a reduction of forested area due to forest fires will have on avalanche occurrence. We hypothesize increased potential for avalanching in forested areas impacted by wildfire. Reduced tree cover may make previously heavily forested terrain more susceptible to avalanching. Increases in the size of avalanche start zones, paths, and runouts due to forest fires may increase the destructive size of avalanches and create cascading ecological effects within the adjacent forested terrain. Forest fires may therefore increase the likelihood of avalanche release, resulting in further loss of tree cover and increased avalanche area as well as decreased protection for human infrastructure. In this study, we quantify avalanche area changes before and after the Ross Fork wildfire (2022) in Sawtooth National Forest, Idaho, USA. We utilized satellite imagery, a digital elevation model and historical fire spatial data to quantify and characterize avalanche area changes within the fire perimeter using the Auto-ATES workflow (Sykes et al., 2022). We found decreases in forest coverage that contributed to widespread increases in potential avalanche release areas, avalanche tracks, and potential runout zones throughout the study area as well as the creation of new potential avalanche release areas and a substantial decrease in non-avalanche connected terrain within the fire perimeter. These preliminary findings help inform avalanche and snow safety professionals as well as land managers working in wildfire-prone forested areas about potential post-wildfire changes in avalanche terrain.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, International Snow Science Workshop 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Snow Science Workshop 2023","conferenceDate":"October 8-13, 2023","conferenceLocation":"Bend, OR","language":"English","publisher":"International Snow Science Workshop","usgsCitation":"Miller, Z., Sykes, J., Guinn, M., VandenBos, B., Savage, S., and Peitzsch, E.H., 2023, Spatial extent of forested avalanche terrain impacted by wildfire across the Sawtooth National Forest, in Proceedings, International Snow Science Workshop 2023, Bend, OR, October 8-13, 2023, p. 272-279.","productDescription":"8 p.","startPage":"272","endPage":"279","ipdsId":"IP-156644","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":421970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":421961,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"http://arc.lib.montana.edu/snow-science/item/2887","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","otherGeospatial":"Sawtooth National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.25979416843813,\n 44.25122593623942\n ],\n [\n -115.25979416843813,\n 43.47618673393339\n ],\n [\n -113.88619800565512,\n 43.47618673393339\n ],\n [\n -113.88619800565512,\n 44.25122593623942\n ],\n [\n -115.25979416843813,\n 44.25122593623942\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Zachary 0000-0002-6876-6710","orcid":"https://orcid.org/0000-0002-6876-6710","contributorId":214464,"corporation":false,"usgs":true,"family":"Miller","given":"Zachary","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":886315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sykes, John","contributorId":330953,"corporation":false,"usgs":false,"family":"Sykes","given":"John","email":"","affiliations":[{"id":36678,"text":"Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":886316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guinn, Megan","contributorId":330954,"corporation":false,"usgs":false,"family":"Guinn","given":"Megan","email":"","affiliations":[{"id":79075,"text":"USDA Forest Service Chugach National Forest Avalanche Center","active":true,"usgs":false}],"preferred":false,"id":886317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"VandenBos, Benjamin","contributorId":209940,"corporation":false,"usgs":false,"family":"VandenBos","given":"Benjamin","email":"","affiliations":[{"id":38032,"text":"U.S.D.A. Forest Service Sawtooth National Forest Avalanche Center, Ketchum, Idaho, USA","active":true,"usgs":false}],"preferred":false,"id":886319,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Savage, Scott","contributorId":209938,"corporation":false,"usgs":false,"family":"Savage","given":"Scott","email":"","affiliations":[{"id":38032,"text":"U.S.D.A. Forest Service Sawtooth National Forest Avalanche Center, Ketchum, Idaho, USA","active":true,"usgs":false}],"preferred":false,"id":886318,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peitzsch, Erich H. 0000-0001-7624-0455","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":202576,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":886320,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70249594,"text":"70249594 - 2023 - Big avalanches in a changing climate: Using tree-ring derived avalanche chronologies to examine avalanche frequency across multiple climate types","interactions":[],"lastModifiedDate":"2023-10-18T14:32:35.897212","indexId":"70249594","displayToPublicDate":"2023-10-08T08:28:37","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Big avalanches in a changing climate: Using tree-ring derived avalanche chronologies to examine avalanche frequency across multiple climate types","docAbstract":"

Large-magnitude snow avalanches pose a hazard to humans and infrastructure worldwide. Analyzing the spatiotemporal behavior of avalanches and the contributory climate factors is important for understanding historical variability in climate-avalanche relationships as well as improving avalanche forecasting. This study uses established dendrochronological methods to develop long-term regional avalanche chronologies for three different climate types: high-latitude maritime climate of southeast Alaska, intermountain climate of the northern Rocky Mountains, and continental climate of Colorado. In the maritime study area, we collected 434 cross sections throughout six avalanche paths near Juneau, Alaska. This resulted in 2706 identified avalanche growth disturbances between year 1720 and 2018 Common Era (CE), which allowed us to reconstruct 82 years with large magnitude avalanche activity across three sub-regions. By combining this tree-ring derived avalanche dataset with a suite of climate and atmospheric variables and applying a generalized linear model to fit a binomial regression, we found February and March precipitation and the Oceanic Niño Index (ONI) were significant predictors of large magnitude avalanche activity in the southeast Alaska study area. In the intermountain climate study area, tree-rings from 647 trees exhibited 2134 avalanche-related growth disturbances in the northern Rocky Mountains of northwest Montana from 1867 to 2019. The data show that the amount of snowpack across the northern Rocky Mountain region is directly related to avalanche probability. Coincident with warming and regional snowpack reductions, a decline of ~ 14% (~ 2% per decade) in overall large magnitude avalanche probability is apparent through the period 1950–2017 CE. In the continental climate of Colorado, we sampled 24 avalanche paths throughout the state and collected 1188 total samples with 4135 identified growth disturbances from 1698 to 2019. Preliminary results suggest years with large magnitude avalanche activity across the sub-regions of this study area are generally characterized by stormy winters with above average snowpack development but that early and late winter temperature and precipitation also play an important role in large avalanche activity. Characterizing historical climate-avalanche relationships across different climate types provides a broad baseline for understanding potential future changes in avalanche activity. Overall, this work helps forecasters and planners better understand the influence of climate on large magnitude avalanche frequency, and how potential changes in avalanche character and occurrence will affect their operations in the context of a warming climate.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, International Snow Science Workshop 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Snow Science Workshop 2023","conferenceDate":"October 8-13, 2023","conferenceLocation":"Bend, OR","language":"English","publisher":"International Snow Science Workshop","usgsCitation":"Peitzsch, E.H., Pederson, G.T., Martin, J.T., Hood, E., Greene, E.M., Birkeland, K.W., Elder, K., Wolken, G., Kichas, N.E., Stahle, D.K., and Harley, J., 2023, Big avalanches in a changing climate: Using tree-ring derived avalanche chronologies to examine avalanche frequency across multiple climate types, in Proceedings, International Snow Science Workshop 2023, Bend, OR, October 8-13, 2023, p. 547-553.","productDescription":"7 p.","startPage":"547","endPage":"553","ipdsId":"IP-156827","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science 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Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":886374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":886375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Justin T. 0000-0002-3523-6596","orcid":"https://orcid.org/0000-0002-3523-6596","contributorId":215418,"corporation":false,"usgs":true,"family":"Martin","given":"Justin","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":886376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":886377,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greene, Ethan M.","contributorId":330958,"corporation":false,"usgs":false,"family":"Greene","given":"Ethan","middleInitial":"M.","affiliations":[{"id":40054,"text":"Colorado Avalanche Information Center","active":true,"usgs":false}],"preferred":false,"id":886378,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Birkeland, Karl W.","contributorId":173366,"corporation":false,"usgs":false,"family":"Birkeland","given":"Karl","middleInitial":"W.","affiliations":[{"id":27213,"text":"USDA Forest Service National Avalanche Center, Bozeman, MT, USA","active":true,"usgs":false}],"preferred":false,"id":886379,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elder, Kelly","contributorId":174398,"corporation":false,"usgs":false,"family":"Elder","given":"Kelly","email":"","affiliations":[{"id":5121,"text":"U.S. Forest Service, Rocky Mountain Research Station, 1221 South Main Street, Moscow, ID 83843","active":true,"usgs":false}],"preferred":false,"id":886380,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wolken, Gabriel","contributorId":305685,"corporation":false,"usgs":false,"family":"Wolken","given":"Gabriel","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":886381,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kichas, Nickolas E.","contributorId":221182,"corporation":false,"usgs":false,"family":"Kichas","given":"Nickolas","email":"","middleInitial":"E.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":886383,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stahle, Daniel Kent 0000-0003-1252-5990","orcid":"https://orcid.org/0000-0003-1252-5990","contributorId":224403,"corporation":false,"usgs":true,"family":"Stahle","given":"Daniel","email":"","middleInitial":"Kent","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":886382,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Harley, John","contributorId":292933,"corporation":false,"usgs":false,"family":"Harley","given":"John","email":"","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":886384,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70256570,"text":"70256570 - 2023 - Positive but un-sustained wildlife community responses to reserve expansion and mammal reintroductions in South Africa","interactions":[],"lastModifiedDate":"2024-08-19T12:12:25.494441","indexId":"70256570","displayToPublicDate":"2023-10-07T07:03:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Positive but un-sustained wildlife community responses to reserve expansion and mammal reintroductions in South Africa","docAbstract":"

The creation and expansion of protected areas, coupled with wildlife reintroductions, are increasingly used as conservation measures to combat wildlife declines worldwide. Although these types of restoration efforts are expected be beneficial to wildlife populations, variable species management and interactions among species within complex food webs have the potential to lead to unintended species-specific responses to reserve expansion which can counteract the anticipated positive effects. We used a multi-season camera trap study to investigate community-wide responses of wildlife to a reserve expansion and associated wildlife releases in South Africa. We analyzed the camera trap data using community occupancy and N-mixture models to assess how the occupancy and intensity of use of individual species changed in the four seasons following reserve expansion. We found species-specific responses to reserve expansion, although responses were generally positive in occupancy and intensity of use but un-sustained. The apex predator, the lion (Panthera leo) and the majority of managed herbivores exhibited sustained or delayed positive responses, whereas most subordinate predators and unmanaged herbivores had short-lived, fluctuating, or neutral responses. Interactive effects of top-down suppression, competitive pressure, and increased space and food resources likely resulted in the temporally-variable responses of most species. Although no species responded negatively to reserve expansion and mammal reintroductions, the lack of sustained positive responses for most species indicates the complexities of implementing conservation actions to benefit multiple wildlife species. Our results highlight the importance of monitoring the entire wildlife community following management actions such as reserve expansion or wildlife reintroductions.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2023.110277","usgsCitation":"Brewer, S., Keener, L., Swanepoel, L.H., Sholto-Douglas, C., Hunnicutt, A., and Curveira-Santos, G., 2023, Positive but un-sustained wildlife community responses to reserve expansion and mammal reintroductions in South Africa: Biological Conservation, v. 287, 110277, https://doi.org/10.1016/j.biocon.2023.110277.","productDescription":"110277","ipdsId":"IP-153395","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":432881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"287","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keener, Lia","contributorId":341195,"corporation":false,"usgs":false,"family":"Keener","given":"Lia","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":908067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanepoel, Lourens H.","contributorId":341196,"corporation":false,"usgs":false,"family":"Swanepoel","given":"Lourens","email":"","middleInitial":"H.","affiliations":[{"id":81712,"text":"University of Venda","active":true,"usgs":false}],"preferred":false,"id":908068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sholto-Douglas, Craig","contributorId":341197,"corporation":false,"usgs":false,"family":"Sholto-Douglas","given":"Craig","email":"","affiliations":[{"id":81713,"text":"5 &Beyond Phinda Private Game Reserve","active":true,"usgs":false}],"preferred":false,"id":908069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunnicutt, Axel","contributorId":341198,"corporation":false,"usgs":false,"family":"Hunnicutt","given":"Axel","email":"","affiliations":[{"id":81714,"text":"6 Wild Tomorrow Fund","active":true,"usgs":false}],"preferred":false,"id":908070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Curveira-Santos, Goncalo","contributorId":341199,"corporation":false,"usgs":false,"family":"Curveira-Santos","given":"Goncalo","email":"","affiliations":[{"id":52780,"text":"Universidade de Lisboa","active":true,"usgs":false}],"preferred":false,"id":908071,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70249593,"text":"70249593 - 2023 - Compost, plants and endophytes versus metal contamination: Choice of a restoration strategy steers the microbiome in polymetallic mine waste","interactions":[],"lastModifiedDate":"2023-10-18T11:51:33.055299","indexId":"70249593","displayToPublicDate":"2023-10-07T06:48:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17060,"text":"Environmental Microbiome","active":true,"publicationSubtype":{"id":10}},"title":"Compost, plants and endophytes versus metal contamination: Choice of a restoration strategy steers the microbiome in polymetallic mine waste","docAbstract":"

Finding solutions for the remediation and restoration of abandoned mining areas is of great environmental importance as they pose a risk to ecosystem health. In this study, our aim was to determine how remediation strategies with (i) compost amendment, (ii) planting a metal-tolerant grass Bouteloua curtipendula, and (iii) its inoculation with beneficial endophytes influenced the microbiome of metal-contaminated tailings originating from the abandoned Blue Nose Mine, SE Arizona, near Patagonia (USA). We conducted an indoor microcosm experiment followed by a metataxonomic analysis of the mine tailings, compost, and root samples. Our results showed that each remediation strategy promoted a distinct pattern of microbial community structure in the mine tailings, which correlated with changes in their chemical properties. The combination of compost amendment and endophyte inoculation led to the highest prokaryotic diversity and total nitrogen and organic carbon, but also induced shifts in microbial community structure that significantly correlated with an enhanced potential for mobilization of Cu and Sb. Our findings show that soil health metrics (total nitrogen, organic carbon and pH) improved, and microbial community changed, due to organic matter input and endophyte inoculation, which enhanced metal leaching from the mine waste and potentially increased environmental risks posed by Cu and Sb. We further emphasize that because the initial choice of remediation strategy can significantly impact trace element mobility via modulation of both soil chemistry and microbial communities, site specific, bench-scale preliminary tests, as reported here, can help determine the potential risk of a chosen strategy.

","language":"English","publisher":"Springer Nature","doi":"10.1186/s40793-023-00528-3","usgsCitation":"Kracmarova, M., Papik, J., Uhlik, O., Freeman, J., Foster, A.L., Leewis, M., and Creamer, C., 2023, Compost, plants and endophytes versus metal contamination: Choice of a restoration strategy steers the microbiome in polymetallic mine waste: Environmental Microbiome, v. 18, 74, 15 p., https://doi.org/10.1186/s40793-023-00528-3.","productDescription":"74, 15 p.","ipdsId":"IP-152248","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":441924,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40793-023-00528-3","text":"Publisher Index Page"},{"id":421952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationDate":"2023-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Kracmarova, Martina 0000-0003-3306-9074","orcid":"https://orcid.org/0000-0003-3306-9074","contributorId":310408,"corporation":false,"usgs":false,"family":"Kracmarova","given":"Martina","email":"","affiliations":[{"id":67178,"text":"University of Chemistry and Technology, Prague","active":true,"usgs":false}],"preferred":false,"id":886367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papik, Jakub","contributorId":310409,"corporation":false,"usgs":false,"family":"Papik","given":"Jakub","affiliations":[{"id":67178,"text":"University of Chemistry and Technology, Prague","active":true,"usgs":false}],"preferred":false,"id":886368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uhlik, Ondrej 0000-0002-0506-202X","orcid":"https://orcid.org/0000-0002-0506-202X","contributorId":330972,"corporation":false,"usgs":false,"family":"Uhlik","given":"Ondrej","email":"","affiliations":[{"id":79083,"text":"University of Chemistry and Technology","active":true,"usgs":false}],"preferred":false,"id":886369,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, John 0000-0003-3403-9360","orcid":"https://orcid.org/0000-0003-3403-9360","contributorId":247587,"corporation":false,"usgs":false,"family":"Freeman","given":"John","email":"","affiliations":[{"id":49585,"text":"Intrinsyx Technologies Corporation","active":true,"usgs":false}],"preferred":false,"id":886370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":886371,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leewis, Mary-Catherine 0000-0001-6496-8094","orcid":"https://orcid.org/0000-0001-6496-8094","contributorId":267792,"corporation":false,"usgs":false,"family":"Leewis","given":"Mary-Catherine","affiliations":[{"id":24491,"text":"Agriculture and Agri-Food Canada","active":true,"usgs":false}],"preferred":false,"id":886372,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Creamer, Courtney 0000-0001-8270-9387","orcid":"https://orcid.org/0000-0001-8270-9387","contributorId":201952,"corporation":false,"usgs":true,"family":"Creamer","given":"Courtney","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":886373,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70249455,"text":"70249455 - 2023 - High-frequency variability of carbon dioxide fluxes in tidal water over a temperate salt marsh","interactions":[],"lastModifiedDate":"2023-10-06T15:37:32.948139","indexId":"70249455","displayToPublicDate":"2023-10-06T10:29:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7120,"text":"Limnology & Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"High-frequency variability of carbon dioxide fluxes in tidal water over a temperate salt marsh","docAbstract":"

Existing analyses of salt marsh carbon budgets rarely quantify carbon loss as CO2 through the air–water interface in inundated marshes. This study estimates the variability of partial pressure of CO2 (pCO2) and air–water CO2 fluxes over summer and fall of 2014 and 2015 using high-frequency measurements of tidal water pCO2 in a salt marsh of the U.S. northeast region. Monthly mean CO2 effluxes varied in the range of 5.4–25.6 mmol m−2 marsh d−1 (monthly median: 4.8–24.7 mmol m−2 marsh d−1) during July to November from the tidal creek and tidally-inundated vegetated platform. The source of CO2 effluxes was partitioned between the marsh and estuary using a mixing model. The monthly mean marsh-contributed CO2 effluxes accounted for a dominant portion (69%) of total CO2 effluxes in the inundated marsh, which was 3–23% (mean 13%) of the corresponding lateral flux rate of dissolved inorganic carbon (DIC) from marsh to estuary. Photosynthesis in tidal water substantially reduced the CO2 evasion, accounting for 1–86% (mean 31%) of potential CO2 evasion and 2–26% (mean 11%) of corresponding lateral transport DIC fluxes, indicating the important role of photosynthesis in controlling the air–water CO2 evasion in the inundated salt marsh. This study demonstrates that CO2 evasion from inundated salt marshes is a significant loss term for carbon that is fixed within marshes.

","language":"English","publisher":"Wiley","doi":"10.1002/lno.12409","usgsCitation":"Song, S., Wang, Z., Kroeger, K.D., Eagle, M.J., Chu, S.N., and Ge, J., 2023, High-frequency variability of carbon dioxide fluxes in tidal water over a temperate salt marsh: Limnology & Oceanography, v. 68, no. 9, p. 2108-2125, https://doi.org/10.1002/lno.12409.","productDescription":"18 p.","startPage":"2108","endPage":"2125","ipdsId":"IP-147876","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":441932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.12409","text":"Publisher Index Page"},{"id":421745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Waquoit Bay","otherGeospatial":"Sage Lot Pond","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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2021","title":"Bathymetric contour maps, surface area and capacity tables, and bathymetric change maps for selected water-supply lakes in northeastern Missouri, 2021","docAbstract":"

Bathymetric data were collected at 12 water-supply lakes in northeastern Missouri by the U.S. Geological Survey (USGS) in cooperation with the Missouri Department of Natural Resources (MoDNR) and various local agencies, as part of a multiyear effort to establish or update the surface area and capacity tables for the surveyed lakes. The lakes were surveyed in March through May 2021. Ten of the lakes had been surveyed previously by the USGS, and the recent surveys were compared to the earlier surveys to document the changes in the bathymetric surface and capacity of the lakes.

Bathymetric data were collected using a high-resolution multibeam mapping system mounted on a boat. Supplemental depth data at five of the lakes were collected in shallow areas with an acoustic Doppler current profiler on a remote-controlled boat. Data points from the various sources were exported at a gridded data resolution appropriate to each lake, either 0.82 foot, 1.64 feet, or 3.28 feet. Data outside the multibeam survey extent and greater than the surveyed water-surface elevation were obtained from data collected using aerial light detection and ranging (lidar) point cloud data. A linear enforcement technique was used to add points to the dataset in areas of sparse data (the upper ends of coves where the water was shallow or aquatic vegetation precluded data acquisition) based on surrounding multibeam and upland data values. The various point datasets were used to produce a three-dimensional triangulated irregular network surface of the lake-bottom elevations for each lake. A surface area and capacity table was produced from the three-dimensional surface for each lake showing surface area and capacity at specified lake water-surface elevations. Various quality-assurance tests were conducted to ensure quality data were collected with the multibeam, including beam angle checks and patch tests. Additional quality-assurance tests were conducted on the gridded bathymetric data from the survey, the bathymetric surface created from the gridded data, and the contours created from the bathymetric survey.

If there were data from a previous bathymetric survey for a given lake, a bathymetric change map was generated from the elevation difference between the previous survey and the 2021 bathymetric survey data points. After reconciling any vertical datum disagreement between the previous survey data and the 2021 survey datum, coincident points between the surveys were identified, and a bathymetric change map was generated using the coincident point data.

The mean elevation change between all repeat surveys at most lakes was positive, indicating sedimentation. Relative to previous surveys, the change in capacity at the primary spillway elevation ranged from a 7.7-percent decrease at Memphis Reservoir to a 3.9-percent increase at Old Lake (Bowling Green West). The mean bathymetric change ranged from 0.03 foot at Hazel Creek and 0.07 foot at Shelbina Lake and Bowling Green Reservoir (Jack Floyd Memorial Lake) to 0.63 at Memphis Lake (Lake Showme) and 0.88 at Memphis Reservoir. The time-averaged mean bathymetric change ranged from 0.002 foot per year at Hazel Creek Lake to 0.044 foot per year at Memphis Reservoir. The computed volumetric sedimentation rate generally ranged from 0.14 to 6.80 acre-feet per year at Shelbina Lake and Memphis Lake (Lake Showme), respectively; however, Forest Lake had a substantially larger sedimentation rate of 17.0 acre-feet per year. Some changes observed in some bathymetric change maps are believed to result from the difference in data collection equipment and techniques between the previous and present bathymetric surveys, whereas other erosional features around the perimeter of certain lakes may be the result of wave action during low-water years.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235108","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Rivers, B.C., Huizinga, R.J., Richards, J.M., and Waite, G.J., 2023, Bathymetric contour maps, surface area and capacity tables, and bathymetric change maps for selected water-supply lakes in northeastern Missouri, 2021: U.S. Geological Survey Scientific Investigations Report 2023–5108, 63 p., https://doi.org/10.3133/sir20235108.","productDescription":"Report: vii, 63 p.; 12 Plates: 24.00 × 24.00 inches or smaller; Data Release","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-137682","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501152,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115452.htm","linkFileType":{"id":5,"text":"html"}},{"id":421680,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2023/5108/downloads/","text":"Plates 1–12","linkFileType":{"id":1,"text":"pdf"}},{"id":421677,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5108/sir20235108.pdf","text":"Report","size":"12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5108"},{"id":421676,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5108/coverthb.jpg"},{"id":421681,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YJJQB4","text":"USGS data release","linkHelpText":"Bathymetric and supporting data for 12 water supply lakes in northeastern Missouri, 2021"},{"id":421679,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5108/images/"},{"id":421678,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5108/sir20235108.XML","linkFileType":{"id":8,"text":"xml"}}],"country":"United States","state":"Missouri","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.1618646084552,\n 40.60163096352804\n ],\n [\n -93.1618646084552,\n 38.998035265560674\n ],\n [\n -90.92065367095553,\n 38.998035265560674\n ],\n [\n -90.92065367095553,\n 40.60163096352804\n ],\n [\n -93.1618646084552,\n 40.60163096352804\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401

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","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-10-06","noUsgsAuthors":false,"publicationDate":"2023-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Rivers, Benjamin C. 0000-0003-0098-0486 brivers@usgs.gov","orcid":"https://orcid.org/0000-0003-0098-0486","contributorId":207260,"corporation":false,"usgs":true,"family":"Rivers","given":"Benjamin C.","email":"brivers@usgs.gov","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":885489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":885490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richards, Joseph M. 0000-0002-9822-2706","orcid":"https://orcid.org/0000-0002-9822-2706","contributorId":202877,"corporation":false,"usgs":true,"family":"Richards","given":"Joseph M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":885491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waite, Garett J. 0000-0002-2286-3363 gjwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-2286-3363","contributorId":305469,"corporation":false,"usgs":true,"family":"Waite","given":"Garett","email":"gjwaite@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":885492,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70249444,"text":"70249444 - 2023 - Long-term trends in Arctic riverine chemistry signal multi-faceted northern change","interactions":[],"lastModifiedDate":"2023-10-06T14:53:26.536832","indexId":"70249444","displayToPublicDate":"2023-10-06T09:32:17","publicationYear":"2023","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":"Long-term trends in Arctic riverine chemistry signal multi-faceted northern change","docAbstract":"

Rivers integrate processes occurring throughout their watersheds and are therefore sentinels of change across broad spatial scales. River chemistry also regulates ecosystem function across Earth’s land–ocean continuum, exerting control from the micro- (for example, local food web) to the macro- (for example, global carbon cycle) scale. In the rapidly warming Arctic, a wide range of processes—from permafrost thaw to biological uptake and transformation—might reasonably alter river water chemistry. Here we use data from major rivers that collectively drain two-thirds of the Arctic Ocean watershed to assess widespread change in biogeochemical function within the pan-Arctic basin from 2003 to 2019. While the oceanward flux of alkalinity and associated ions increased markedly over this time frame, nitrate and other inorganic nutrient fluxes declined. Fluxes of dissolved organic carbon showed no overall trend. This divergence in response indicates the perturbation of multiple processes on land, with implications for biogeochemical cycling in the coastal ocean. We anticipate that these findings will facilitate refinement of conceptual and numerical models of current and future functioning of Arctic coastal ecosystems and spur research on scale-dependent change across the river-integrated Arctic domain.

","language":"English","publisher":"Springer","doi":"10.1038/s41561-023-01247-7","usgsCitation":"Tank, S.E., McClelland, J., Spencer, R., Shiklomanov, A.I., Suslova, A., Moatar, F., Amon, R., Cooper, L.W., Elias, G., Gordeev, V., Guay, C., Gurtovaya, T., Kosmenko, L., Mutter, E., Peterson, B., Peucker-Ehrenbrink, B., Raymond, P., Schuster, P., Scott, L., Staples, R., Striegl, R.G., Tretiakov, M., Zhulidov, A.V., Zimov, N., Zimov, S., and Holmes, R.M., 2023, Long-term trends in Arctic riverine chemistry signal multi-faceted northern change: Nature Geoscience, v. 16, p. 789-796, https://doi.org/10.1038/s41561-023-01247-7.","productDescription":"17 p.","startPage":"789","endPage":"796","ipdsId":"IP-149200","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":441937,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.inrae.fr/hal-04198078","text":"External Repository"},{"id":421736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Finland, Kazakhstan, Norway, Russia, United States","otherGeospatial":"Arctic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -342.3952371271182,\n 69.74468714335444\n ],\n [\n -329.1823633126795,\n 64.20545061647516\n ],\n [\n -318.0022393158466,\n 58.36516107875457\n ],\n [\n -296.658366230984,\n 51.99850510364584\n ],\n [\n -243.80687097322883,\n 54.13546363643496\n ],\n [\n -218.9056857075558,\n 59.41534474728698\n ],\n [\n -184.34893880825422,\n 64.20545061647516\n ],\n [\n -161.48050336018719,\n 67.52498621568131\n ],\n [\n -146.23487972814243,\n 64.86095895630618\n ],\n [\n -128.95650627849164,\n 57.82803046594279\n ],\n [\n -120.31731955366638,\n 50.40664276656898\n ],\n [\n -105.57988337602299,\n 51.049992898892185\n ],\n [\n -88.80969738077384,\n 65.0759803966236\n ],\n [\n -90.33425974397825,\n 72.98441077895814\n ],\n [\n -75.0886361119335,\n 78.83695010199563\n ],\n [\n -59.84301247988874,\n 82.6291688543401\n ],\n [\n -28.84357776139734,\n 83.87916304216341\n ],\n [\n -1.4014552237165958,\n 83.60217287649235\n ],\n [\n -0.8932677693154574,\n 85.00709506615163\n ],\n [\n -283.5519238077401,\n 85.00709506615163\n ],\n [\n -351.1408552431386,\n 80.80646270429665\n ],\n [\n -342.3952371271182,\n 69.74468714335444\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2023-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Tank, Suzanne E. 0000-0002-5371-6577","orcid":"https://orcid.org/0000-0002-5371-6577","contributorId":238026,"corporation":false,"usgs":false,"family":"Tank","given":"Suzanne","email":"","middleInitial":"E.","affiliations":[{"id":47684,"text":"Department of Biological Sciences, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":885640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClelland, James W.","contributorId":255074,"corporation":false,"usgs":false,"family":"McClelland","given":"James W.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":885641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, Robert G. M.","contributorId":247636,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G. M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":885642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shiklomanov, Alexander I.","contributorId":330705,"corporation":false,"usgs":false,"family":"Shiklomanov","given":"Alexander","email":"","middleInitial":"I.","affiliations":[{"id":78974,"text":"Earth Systems Research Center, University of New Hampshire, Durham, NH, USA","active":true,"usgs":false}],"preferred":false,"id":885643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suslova, Anya","contributorId":238025,"corporation":false,"usgs":false,"family":"Suslova","given":"Anya","email":"","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":885644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moatar, Florentina","contributorId":243024,"corporation":false,"usgs":false,"family":"Moatar","given":"Florentina","email":"","affiliations":[{"id":48615,"text":"Irstea, RiverLy, France","active":true,"usgs":false}],"preferred":false,"id":885645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Amon, Rainer","contributorId":330706,"corporation":false,"usgs":false,"family":"Amon","given":"Rainer","email":"","affiliations":[{"id":78976,"text":"Texas A&M University, College Station, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":885646,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cooper, Lee W.","contributorId":106806,"corporation":false,"usgs":false,"family":"Cooper","given":"Lee","email":"","middleInitial":"W.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":885647,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Elias, Greg","contributorId":330707,"corporation":false,"usgs":false,"family":"Elias","given":"Greg","email":"","affiliations":[{"id":78977,"text":"Western Arctic Research Center, Inuvik, NT, Canada","active":true,"usgs":false}],"preferred":false,"id":885648,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gordeev, Vyacheslav","contributorId":330708,"corporation":false,"usgs":false,"family":"Gordeev","given":"Vyacheslav","email":"","affiliations":[{"id":63058,"text":"Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia","active":true,"usgs":false}],"preferred":false,"id":885649,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Guay, Christopher","contributorId":330709,"corporation":false,"usgs":false,"family":"Guay","given":"Christopher","email":"","affiliations":[{"id":78979,"text":"Mamala Research LLC, Honolulu, HI, USA","active":true,"usgs":false}],"preferred":false,"id":885650,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gurtovaya, Tatiana","contributorId":238031,"corporation":false,"usgs":false,"family":"Gurtovaya","given":"Tatiana","email":"","affiliations":[{"id":47688,"text":"South Russia Centre for Preparation and Implementation of International Projects, Rostov-on-Don, Russia","active":true,"usgs":false}],"preferred":false,"id":885651,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kosmenko, Lyudmila","contributorId":330710,"corporation":false,"usgs":false,"family":"Kosmenko","given":"Lyudmila","email":"","affiliations":[{"id":78980,"text":"Hydrochemical Institute of the Federal Service for Hydrometeorology and Environmental Monitoring, Ministry of Natural Resources and Environment of the Russian Federation, Rostov-on-Don, Russia","active":true,"usgs":false}],"preferred":false,"id":885652,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mutter, Edda A.","contributorId":238034,"corporation":false,"usgs":false,"family":"Mutter","given":"Edda A.","affiliations":[{"id":47690,"text":"˚Yukon River Inter-Tribal Watershed Council, Anchorage, Alaska","active":true,"usgs":false}],"preferred":false,"id":885653,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Peterson, Bruce","contributorId":330711,"corporation":false,"usgs":false,"family":"Peterson","given":"Bruce","affiliations":[{"id":78981,"text":"Marine Biological Laboratory, Woods Hole, MA, USA","active":true,"usgs":false}],"preferred":false,"id":885654,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Peucker-Ehrenbrink, Bernhard","contributorId":247622,"corporation":false,"usgs":false,"family":"Peucker-Ehrenbrink","given":"Bernhard","affiliations":[{"id":49599,"text":"Woods Hole Oceanographic Institution, Woods Hole, USA","active":true,"usgs":false}],"preferred":false,"id":885655,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Raymond, Peter","contributorId":330174,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":885656,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Schuster, Paul","contributorId":330712,"corporation":false,"usgs":false,"family":"Schuster","given":"Paul","affiliations":[{"id":78982,"text":"U. S. Geological Survey, Earth System Processes Division, Boulder, CO, USA (deceased)","active":true,"usgs":false}],"preferred":false,"id":885657,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Scott, Lindsay","contributorId":330713,"corporation":false,"usgs":false,"family":"Scott","given":"Lindsay","email":"","affiliations":[{"id":78983,"text":"Woodwell Climate Research Center, Falmouth, MA, USA","active":true,"usgs":false}],"preferred":false,"id":885658,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Staples, Robin","contributorId":330714,"corporation":false,"usgs":false,"family":"Staples","given":"Robin","email":"","affiliations":[{"id":78984,"text":"Water Resources Division, Government of the Northwest Territories, Yellowknife, NT, Canada","active":true,"usgs":false}],"preferred":false,"id":885659,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":885660,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Tretiakov, Mikhail","contributorId":330715,"corporation":false,"usgs":false,"family":"Tretiakov","given":"Mikhail","email":"","affiliations":[{"id":78985,"text":"River Estuaries and Water Resources Department, Arctic and Antarctic Research Institute, Saint Petersburg, Russia","active":true,"usgs":false}],"preferred":false,"id":885661,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Zhulidov, Alexander V.","contributorId":238030,"corporation":false,"usgs":false,"family":"Zhulidov","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":47688,"text":"South Russia Centre for Preparation and Implementation of International Projects, Rostov-on-Don, Russia","active":true,"usgs":false}],"preferred":false,"id":885662,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Zimov, Nikita","contributorId":238032,"corporation":false,"usgs":false,"family":"Zimov","given":"Nikita","email":"","affiliations":[{"id":47689,"text":"Northeast Science Station, Far Eastern Branch of Russian Academy of Science, Chersky, Russia","active":true,"usgs":false}],"preferred":false,"id":885663,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Zimov, Sergey","contributorId":238033,"corporation":false,"usgs":false,"family":"Zimov","given":"Sergey","email":"","affiliations":[{"id":47689,"text":"Northeast Science Station, Far Eastern Branch of Russian Academy of Science, Chersky, Russia","active":true,"usgs":false}],"preferred":false,"id":885664,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Holmes, Robert M.","contributorId":178901,"corporation":false,"usgs":false,"family":"Holmes","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":885665,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"id":70249296,"text":"fs20233034 - 2023 - Flood damage costs beyond buildings—A Lake Champlain case study","interactions":[],"lastModifiedDate":"2026-02-09T17:41:48.972867","indexId":"fs20233034","displayToPublicDate":"2023-10-05T13:20:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3034","displayTitle":"Flood Damage Costs Beyond Buildings—A Lake Champlain Case Study","title":"Flood damage costs beyond buildings—A Lake Champlain case study","docAbstract":"

Introduction

Floods account for more than 75 percent of Federal disaster declarations and lead other natural disasters in economic costs. Early-warning systems have lowered flood-related fatalities, but costs continue to rise as flood-prone areas continue to be urbanized (U.S. Geological Survey, 2006). A Lake Champlain case study shows that at moderate flood heights, the economic costs of non-structural damages or losses—such as temporary lodging, residential debris removal, commercial revenue losses, and road repair—can be greater than economic damages to buildings. For unprecedented flood heights, non-structural damages can still total more than 10 percent of structural damage costs.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233034","usgsCitation":"Rhodes, C., 2023, Flood damage costs beyond buildings—A Lake Champlain case study: U.S. Geological Survey Fact Sheet 2023–3034, 6p., https://doi.org/10.3133/fs20233034.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-146142","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":421549,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XWERGY","text":"USGS data release","linkHelpText":"U.S.-Side Principal Economic Indicators For the International Joint Commission Lake Champlain Richelieu River Study Project (2022)"},{"id":421545,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3034/fs20233034.pdf","text":"Report","size":"1.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3034"},{"id":421544,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3034/coverthb.jpg"},{"id":421546,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233034/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3034"},{"id":421547,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3034/images/"},{"id":421548,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3034/fs20233034.XML"},{"id":499692,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115451.htm","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","state":"New York, Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.74618031431513,\n 43.36987616984206\n ],\n [\n -72.8562877361902,\n 43.36987616984206\n ],\n [\n -72.8562877361902,\n 45.31812414639214\n ],\n [\n -73.74618031431513,\n 45.31812414639214\n ],\n [\n -73.74618031431513,\n 43.36987616984206\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Center Director, Science and Decisions Center
U.S. Geological Survey
12201 Sunrise Valley Dr.
Mail Stop 310
Reston, VA 20192

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","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-10-05","noUsgsAuthors":false,"publicationDate":"2023-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rhodes, Charles 0000-0002-9040-3684","orcid":"https://orcid.org/0000-0002-9040-3684","contributorId":245881,"corporation":false,"usgs":true,"family":"Rhodes","given":"Charles","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":885032,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70249796,"text":"70249796 - 2023 - Long-term demographic analysis of the Cape Sable seaside sparrow (1992–2021)","interactions":[],"lastModifiedDate":"2023-10-28T13:15:01.230395","indexId":"70249796","displayToPublicDate":"2023-10-05T08:14:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Long-term demographic analysis of the Cape Sable seaside sparrow (1992–2021)","docAbstract":"The Cape Sable seaside sparrow (Ammospiza maritima mirabilis) is an endangered species that has experienced a population decline of more than 60% since 1981. Despite its critical population status, a statistically robust analysis of the species’ demographic rates utilizing all data has yet to be completed (Benscoter et al. 2021). Furthermore, long-term population processes in response to hydrologic and environmental conditions have not been evaluated for this species. To address these substantial gaps in knowledge, 30 years of demographic data were synthesized to assess population dynamics of this imperiled species using an integrated population model (IPM). Three demographic data types (range-wide counts, capture-mark-recapture, nest monitoring) were incorporated into a unified IPM to evaluate demographic processes and predict population trajectories. The following were calculated: (1) annual estimates of annual population size, survival, and fecundity; (2) coefficient estimates of hydrologic and environmental variables on survival and fecundity; (3) estimates of annual population growth and their correlation with demographic rates; and (4) a Bayesian population viability analysis (BPVA) that includes predicted population size, demographic rates, and extinction risks ten years into the future.","language":"English","publisher":"U.S. Fish and Wildlife Service","collaboration":"U.S. Fish and Wildlife Service and National Park Service","usgsCitation":"Martinez, M.T., D’Acunto, L., and Romanach, S., 2023, Long-term demographic analysis of the Cape Sable seaside sparrow (1992–2021), 25 p.","productDescription":"25 p.","ipdsId":"IP-157496","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":422231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":422220,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ecos.fws.gov/ServCat/Reference/Profile/161341"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martinez, Marisa Takada 0000-0002-1915-6019","orcid":"https://orcid.org/0000-0002-1915-6019","contributorId":304805,"corporation":false,"usgs":true,"family":"Martinez","given":"Marisa","email":"","middleInitial":"Takada","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":887094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":887095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":223479,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":887096,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70249485,"text":"70249485 - 2023 - Comparing reintroduction strategies for the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia) using demographic models","interactions":[],"lastModifiedDate":"2023-10-11T12:04:31.640668","indexId":"70249485","displayToPublicDate":"2023-10-05T07:00:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparing reintroduction strategies for the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia) using demographic models","title":"Comparing reintroduction strategies for the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia) using demographic models","docAbstract":"

For endangered species persisting in a few populations, reintroductions to unoccupied habitat are a popular conservation action to increase viability in the long term. Identifying the reintroduction strategy that is most likely to result in viable founder and donor populations is essential to optimally use resources available for conservation. The San Francisco gartersnake (Thamnophis sirtalis tetrataenia) is an endangered sub-species that persists in a small number of populations in a highly urbanized region of California. Most of the extant populations of San Francisco gartersnakes have low adult abundance and effective population size, heightening the need for establishment of more populations for insurance against the risk of extinction. We used simulations from demographic models to project the probability of quasi-extinction for reintroduced populations of San Francisco gartersnakes based on the release of neonate, juvenile, adult, or mixed-age propagules. Our simulation results indicated that the release of head-started juveniles resulted in the greatest viability of reintroduced populations, and that releases would need to continue for at least 15 years to ensure a low probability of quasi-extinction. Releasing captive-bred juvenile snakes would also have less effect on the viability of the donor population, compared to strategies that require more adult snakes to be removed from the donor population for translocation. Our models focus on snake demography, but the genetic makeup of donor, captive, and reintroduced populations will also be a major concern for any proposed reintroduction plan. This study demonstrates how modeling can be used to inform reintroduction strategies for highly imperiled species.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0292379","usgsCitation":"Rose, J.P., Kim, R., Schoenig, E.J., Lien, P.C., and Halstead, B., 2023, Comparing reintroduction strategies for the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia) using demographic models: PLoS ONE, v. 18, no. 10, e0292379, 21 p., https://doi.org/10.1371/journal.pone.0292379.","productDescription":"e0292379, 21 p.","ipdsId":"IP-151491","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":441947,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0292379","text":"Publisher Index Page"},{"id":435160,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96G15XW","text":"USGS data release","linkHelpText":"Demographic Parameter Estimates for San Francisco Gartersnakes (Thamnophis sirtalis tetrataenia) for Fitting an Integral Projection Model"},{"id":435159,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EY889F","text":"USGS data release","linkHelpText":"Code to fit Integral Projection Models and simulate population reintroductions for San Francisco Gartersnakes, Thamnophis sirtalis tetrataenia"},{"id":435158,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U5NGXY","text":"USGS data release","linkHelpText":"San Francisco Gartersnake Fecundity Data from San Mateo County, California Collected from 2019-2022"},{"id":421847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"10","noUsgsAuthors":false,"publicationDate":"2023-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, Richard 0000-0001-5891-0582 rkim@usgs.gov","orcid":"https://orcid.org/0000-0001-5891-0582","contributorId":204478,"corporation":false,"usgs":true,"family":"Kim","given":"Richard","email":"rkim@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":885901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenig, Elliot James 0000-0002-7217-315X eschoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-7217-315X","contributorId":291497,"corporation":false,"usgs":true,"family":"Schoenig","given":"Elliot","email":"eschoenig@usgs.gov","middleInitial":"James","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lien, Patrick C. 0000-0001-7183-0878","orcid":"https://orcid.org/0000-0001-7183-0878","contributorId":291498,"corporation":false,"usgs":true,"family":"Lien","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":885904,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70249958,"text":"70249958 - 2023 - Geochemical evidence for evolving Proterozoic crustal thickness and orogenic styles in southwestern Laurentia","interactions":[],"lastModifiedDate":"2023-11-08T12:50:50.930901","indexId":"70249958","displayToPublicDate":"2023-10-05T06:48:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evidence for evolving Proterozoic crustal thickness and orogenic styles in southwestern Laurentia","docAbstract":"

It has long been challenging for researchers to track the crustal thickness and mode(s) of crustal modification in ancient convergent margins, limiting evaluation of the tectonic styles and processes that modify continental crust during orogenesis. We present trace element igneous geochemical crustal thickness proxies that quantitatively track the crustal thickness evolution of the long-lived Proterozoic active margin in the southwestern U.S.A. We integrate these results with geobarometric data to constrain the mode of crustal modification. The data indicate a complex record of crustal thickness change in space and time and evolving orogenic styles. Geochemical proxies at 1.84–1.72 Ga are consistent with 20–40 km thick magmatic arcs that were locally thickened to ∼50 km during ∼1.75 Ga tectonism. During the Yavapai orogeny, 1.72–1.69 Ga, a ∼200-km-wide belt of 50-60 km thick crust extended from southern California to northern Colorado and was rapidly thinned and exhumed by ∼1.68 Ga. Crustal thickening and thinning during the Yavapai orogeny largely occurred by shortening and exhumation, respectively, in the upper 25 km of the crust. Subsequent 1.68–1.60 Ga tectonism involved crustal growth, local crustal thickening, and low-P, high-T metamorphism, consistent with extensional accretionary orogenesis. The 1.47–1.37 Ga Picuris orogeny was associated with 50–60 km thick crust across much of the Southwest and involved crustal shortening with ∼10 km of magmatic underplating. Advective heat from the emplacement of ferroan granites in the mid-crust likely contributed to elevated geothermal gradients and rheologically weakened the crust. Our results suggest evolving orogenic styles in the Southwest from 1.75–1.69 Ga short-lived crustal thickening associated with terrane accretion to 1.69–1.60 Ga largely extensional accretionary orogenesis, and regional, long-lived crustal thickening at 1.47–1.37 Ga involving extensive basaltic underplating. Contrasting with some recent hypotheses, our data document a complex middle Proterozoic record for the Southwest that was not orogenically quiescent or tectonically stagnant but involved complex mountain building styles.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2023.118417","usgsCitation":"Hillenbrand, I.W., Karlstrom, K.E., Williams, M.L., Gilmer, A.K., Premo, W.R., and Davis, P.B., 2023, Geochemical evidence for evolving Proterozoic crustal thickness and orogenic styles in southwestern Laurentia: Earth and Planetary Science Letters, v. 622, 118417, 14 p., https://doi.org/10.1016/j.epsl.2023.118417.","productDescription":"118417, 14 p.","ipdsId":"IP-152606","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":441951,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2023.118417","text":"Publisher Index Page"},{"id":422446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.76682325761803,\n 46.564426083384404\n ],\n [\n -117.76682325761803,\n 30.98454907779532\n ],\n [\n -101.50705763261821,\n 30.98454907779532\n ],\n [\n -101.50705763261821,\n 46.564426083384404\n ],\n [\n -117.76682325761803,\n 46.564426083384404\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"622","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":887808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Karl E.","contributorId":228844,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","email":"","middleInitial":"E.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":887809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Michael L.","contributorId":215495,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":887810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilmer, Amy K. 0000-0001-5038-8136","orcid":"https://orcid.org/0000-0001-5038-8136","contributorId":218307,"corporation":false,"usgs":true,"family":"Gilmer","given":"Amy","email":"","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":887811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Premo, Wayne R. 0000-0001-9904-4801 wpremo@usgs.gov","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":1697,"corporation":false,"usgs":true,"family":"Premo","given":"Wayne","email":"wpremo@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":887812,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Peter B","contributorId":331478,"corporation":false,"usgs":false,"family":"Davis","given":"Peter","email":"","middleInitial":"B","affiliations":[{"id":39120,"text":"Pacific Lutheran University","active":true,"usgs":false}],"preferred":false,"id":887813,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70248901,"text":"ofr20231059 - 2023 - Implementation plan of the National Cooperative Geologic Mapping Program strategy—Northeast region of the United States: New York and New England","interactions":[],"lastModifiedDate":"2026-02-11T21:33:09.483655","indexId":"ofr20231059","displayToPublicDate":"2023-10-04T11:45:00","publicationYear":"2023","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":"2023-1059","displayTitle":"Implementation Plan of the National Cooperative Geologic Mapping Program Strategy—Northeast Region of the United States: New York and New England","title":"Implementation plan of the National Cooperative Geologic Mapping Program strategy—Northeast region of the United States: New York and New England","docAbstract":"Complexly deformed igneous, metamorphic, and sedimentary rocks form the bedrock of the Northeast region of the United States. Variably thick unconsolidated sediments deposited by glacial, fluvial, and eolian systems locally cover the bedrock. New geologic mapping focuses on areas lacking modern, detailed studies or syntheses, and contributes to existing framework research. 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\"}}]}","contact":"

Director, Florence Bascom Geoscience Center
U.S. Geological Survey
12201 Sunrise Valley Drive
MS 926A
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","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-10-04","noUsgsAuthors":false,"publicationDate":"2023-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":265307,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":884136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Margaret A.","contributorId":191171,"corporation":false,"usgs":false,"family":"Thomas","given":"Margaret A.","affiliations":[],"preferred":false,"id":884137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvinney, Robert G.","contributorId":131130,"corporation":false,"usgs":false,"family":"Marvinney","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":7257,"text":"Maine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":884138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mabee, Stephen B.","contributorId":211593,"corporation":false,"usgs":false,"family":"Mabee","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":884139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chormann, Frederick H.","contributorId":330157,"corporation":false,"usgs":false,"family":"Chormann","given":"Frederick","email":"","middleInitial":"H.","affiliations":[{"id":78828,"text":"New Hampshire Geological Survey","active":true,"usgs":false}],"preferred":false,"id":884140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kozlowski, Andrew","contributorId":192829,"corporation":false,"usgs":false,"family":"Kozlowski","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":884141,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gale, Marjorie H.","contributorId":330158,"corporation":false,"usgs":false,"family":"Gale","given":"Marjorie H.","affiliations":[{"id":78829,"text":"Vermont Geological Survey","active":true,"usgs":false}],"preferred":false,"id":884142,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kim, Jon","contributorId":152460,"corporation":false,"usgs":false,"family":"Kim","given":"Jon","email":"","affiliations":[{"id":6649,"text":"University of Michigan, School of Natural Resources and Environment","active":true,"usgs":false}],"preferred":false,"id":884143,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Savage, Brian","contributorId":330159,"corporation":false,"usgs":false,"family":"Savage","given":"Brian","email":"","affiliations":[{"id":78830,"text":"Rhode Island Geological Survey","active":true,"usgs":false}],"preferred":false,"id":884144,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70263929,"text":"70263929 - 2023 - Interlaboratory comparison of testing hydraulic, elastic, and failure properties in compression: Lessons learned","interactions":[],"lastModifiedDate":"2025-02-28T15:41:13.652969","indexId":"70263929","displayToPublicDate":"2023-10-04T09:38:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Interlaboratory comparison of testing hydraulic, elastic, and failure properties in compression: Lessons learned","docAbstract":"

Many geoscientific problems require us to exploit synergies of experimental and numerical approaches, which in turn lead to questions regarding the significance of experimental details for validation of numerical codes. We report results of an interlaboratory comparison regarding experimental determination of mechanical and hydraulic properties of samples from five rock types, three sandstone varieties with porosities ranging from 5% to 20%, a marble, and a granite. The objective of this study was to build confidence in the participating laboratories’ testing approaches and to establish tractable standards for several physical properties of rocks. We addressed the issue of sample-to-sample variability by investigating the variability of basic physical properties of samples of a particular rock type and by performing repeat tests. Compressive strength of the different rock types spans an order of magnitude and shows close agreement between the laboratories. However, differences among stress–strain relations indicate that the external measurement of axial displacement and the determination of system stiffness require special attention, apparently more so than the external load measurement. Furthermore, post-failure behavior seems to exhibit some machine-dependence. The different methods used for the determination of hydraulic permeability, covering six orders of magnitude for the sample suite, yield differences in absolute values and pressure dependence for some rocks but not for others. The origin of the differences in permeability, in no case exceeding an order of magnitude, correlate with the compressive strength and potentially reflect a convolution of end plug–sample interaction, sample-to-sample variability, heterogeneity on sample scale, and/or anisotropy, the last two aspects are notably not accounted for by the applied evaluation procedures. Our study provides an extensive data set apt for “benchmarking” considerations, be it regarding new laboratory equipment or numerical modeling approaches.

","language":"English","publisher":"Springer","doi":"10.1007/s12665-023-11173-x","usgsCitation":"Cheng, Y., Lockner, D., Duda, M., Morrow, C., Saffer, D., Song, I., and Renner, J., 2023, Interlaboratory comparison of testing hydraulic, elastic, and failure properties in compression: Lessons learned: Environmental Earth Sciences, v. 82, 509, 20 p., https://doi.org/10.1007/s12665-023-11173-x.","productDescription":"509, 20 p.","ipdsId":"IP-118956","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487585,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s12665-023-11173-x","text":"Publisher Index Page"},{"id":482640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","noUsgsAuthors":false,"publicationDate":"2023-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheng, Yang","contributorId":211352,"corporation":false,"usgs":false,"family":"Cheng","given":"Yang","email":"","affiliations":[],"preferred":false,"id":929146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":257574,"corporation":false,"usgs":true,"family":"Lockner","given":"David A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":929147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duda, Mandy","contributorId":351625,"corporation":false,"usgs":false,"family":"Duda","given":"Mandy","affiliations":[{"id":84018,"text":"Ruhr-Universitat Bochum, Germany","active":true,"usgs":false}],"preferred":false,"id":929148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrow, Carolyn A.","contributorId":328522,"corporation":false,"usgs":false,"family":"Morrow","given":"Carolyn A.","affiliations":[{"id":37196,"text":"Retired USGS employee","active":true,"usgs":false}],"preferred":false,"id":929149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saffer, Demian","contributorId":351626,"corporation":false,"usgs":false,"family":"Saffer","given":"Demian","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":929150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Song, Insun","contributorId":351627,"corporation":false,"usgs":false,"family":"Song","given":"Insun","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":929151,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Renner, Joerg","contributorId":351628,"corporation":false,"usgs":false,"family":"Renner","given":"Joerg","affiliations":[{"id":84018,"text":"Ruhr-Universitat Bochum, Germany","active":true,"usgs":false}],"preferred":false,"id":929152,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256518,"text":"70256518 - 2023 - Evaluating the spatial and temporal distribution and ecology of Bighead and Silver Carp and native fishes of the lower Red River basin","interactions":[],"lastModifiedDate":"2024-09-09T15:52:04.867925","indexId":"70256518","displayToPublicDate":"2023-10-03T10:49:10","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-153-2023","title":"Evaluating the spatial and temporal distribution and ecology of Bighead and Silver Carp and native fishes of the lower Red River basin","docAbstract":"

We investigated the spatial and temporal distribution of Bighead Carp and Silver Carp (hereafter Carp) in the lower Red River basin of Arkansas. Our study objectives were: 1) determine the spatial and temporal extent of Bighead and Silver Carp in the Red River basin of Arkansas; 2) determine habitat associations of large river fish assemblages; and 3) summarize the demographics of Bighead and Silver Carp. We sampled 67 reaches in the lower Red River and its major tributaries for juvenile Carp and other small-bodied fishes (24 of the reaches were in the Arkansas portion of the Red River). We conducted repeated surveys in these reaches where the reaches were sampled 2-3 times over approximately 2 years representing 242 surveys (95 surveys in Arkansas). We completed adult Carp and native fish assemblage sampling across 61 reaches (22 reaches in Arkansas) where we also repeated surveys at these locations (245 total surveys, 100 surveys completed in Arkansas during the reporting period). We captured the most large-bodied fishes (including Carp) using gillnets and electrofishing, whereas fyke nets and seine hauls collected mainly smaller-bodied fishes. Hoop nets captured fewer fishes when compared to other gear types. We sampled 120,072 fishes, comprising 70 species and 41 genera, from the mainstem Red River in Arkansas.  We used data associated with the entire catchment (including OK and TX data) to model the occupancy of adult fishes including both carp species. Carp tended to occupy reaches with the presence of slackwater habitat, that were deeper and narrower (lower habitat complexity), with higher discharge conditions, and were positively associated with chlorophyll-a concentrations. Adult and juvenile assemblage structure varied with reach scale attributes with notable differences among some taxonomically similar species. No carp under the age of 3 were sampled in the catchment. Bighead Carp and Silver Carp in the Red River catchment appear to live longer and grow larger than other populations. Silver Carp and Bighead Carp in the lower Red River had a theoretical maximum length (L_∞) of 920 and 1348-mm TL, respectively. The oldest sampled Silver Carp and Bighead Carp were age 14 and 17, respectively. Bighead Carp growth was positively associated with warmer air temperatures and negatively associated with discharge variability. Similarly, Silver Carp growth was positively associated with the warm air temperature and negatively associated with discharge variability. However, Silver Carp growth was also positively related to high discharge conditions and the variability of air temperature. Silver Carp annual mortality was relatively low and recruitment into the population appeared steady. It appears that Carp are likely coming from another catchment, have only limited or periodic successful reproduction in the study area, or spawn downriver in LA. Continued monitoring for reproductive success would be helpful. Moreover, if the goal is to greatly reduce or eliminate carp, then strategies to prevent further immigration would be ideal before reproduction occurs or becomes more successful. Targeted removal may then be useful for reducing numbers already in the catchment; however, there are also oxbow lakes that contain carp but appear only connected to the river during major floods (i.e., possible source locations).

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Brewer, S.K., Dattilo, J., Ramsey, P., and Birdsall, B., 2023, Evaluating the spatial and temporal distribution and ecology of Bighead and Silver Carp and native fishes of the lower Red River basin: Cooperator Science Series FWS/CSS-153-2023, ii, 193 p.","productDescription":"ii, 193 p.","ipdsId":"IP-154807","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":431854,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/evaluating-spatial-and-temporal-distribution-and-ecology-bighead-and-silver-carp-and-native"},{"id":433628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dattilo, John","contributorId":341000,"corporation":false,"usgs":false,"family":"Dattilo","given":"John","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":907784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramsey, Paul","contributorId":341001,"corporation":false,"usgs":false,"family":"Ramsey","given":"Paul","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":907785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birdsall, Ben","contributorId":341002,"corporation":false,"usgs":false,"family":"Birdsall","given":"Ben","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":907786,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256477,"text":"70256477 - 2023 - Striped bass exploitation in tailwater habitats of east-central Oklahoma","interactions":[],"lastModifiedDate":"2024-09-09T15:47:17.424251","indexId":"70256477","displayToPublicDate":"2023-10-03T10:41:23","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-152-2023","title":"Striped bass exploitation in tailwater habitats of east-central Oklahoma","docAbstract":"

Striped Bass (Morone saxatilis) is naturally anadromous, but a few land-locked populations have been documented that are self-sustaining, including fish in the Arkansas River, Oklahoma. This rare population is the source of brood stock for the Oklahoma Department of Wildlife Conservation hatcheries and is an important sportfish stock. Striped Bass often congregate in tailwater habitats, where anecdotal observations indicate anglers can harvest numerous fish daily. This suggests the need to evaluate the sustainability of harvest in these locations. It is unknown what portion of fish from the Arkansas River population use tailwater habitats or the timing and duration of use. The objectives of this study were to: 1) determine size structure , abundance, and total mortality rate of Striped Bass in the tailwaters of Tenkiller Lake and Lake Eufaula; 2) determine the extent and timing of immigration and emigration of Striped Bass in tailwater habitats to determine the potential for overharvest when they congregate in tailwater areas; 3) estimate delayed hooking mortality of Striped Bass in spring and summer; and 4) using the above data and modeling simulations, determine the potential for growth overfishing of Striped Bass in the tailwater reaches. We sampled 2,730 Striped Bass using boat electrofishing and tagged with passive integrated transponder (PIT) tags to estimate demographic data using a capture-recapture model. A subset of these Striped Bass was tagged with angler reward tags (internal anchor tags, n = 681) and dual technology acoustic-radio telemetry tags (n = 111) to estimate exploitation and track movements, respectively. Anglers returned 116 tags from 2020 to 2022; and our angler reporting rate was estimated to be 14.3%. Annual harvest mortality is minimally 7% (unadjusted for reporting rate) but could be as high as 42% (i.e., adjusting for compliance; but this exceeds the measured total mortality rate (34.3%) so true exploitation is probably 7–34.3%). Our abundance estimates for Striped Bass varied seasonally (ranging from 782 to 38,597 seasonally) and had a high level of uncertainty likely due to relatively low recapture rates. Additionally, our results indicated that Striped Bass exhibited a strong fidelity to their respective habitats within seasons, with fidelity probabilities ranging from 0.98 to 1.00. Movement among segments was common among seasons, indicating these localized populations mix with a larger population annually. Striped Bass were primarily in tailwater habitats during summer. Delayed hooking mortality data were collected in summer 2022. Due to habitat conditions that year, angling catch rates were low. Twenty-nine Striped Bass were tagged, and only eight Striped Bass remained tagged long enough to be tracked at least one day. The total time tracked for these eight fish was between one and three days. There were no confirmed mortalities, treatment, or control. Because of the low sample size, literature values for delayed hooking mortality were also used to supplement field data in the models. The yield-per-recruit model indicated exploitation at 30% or higher leads to recruitment overfishing. A 600 mm minimum TL regulation and 25–30% exploitation rate achieve maximum yield (954 kg/1,000 recruits). Maximum yield related to an average size at harvest of 718-mm TL; thus, growth overfishing occurs for any regulation where average size of harvest is smaller than 718 mm (which the model predicted would occur for any minimum length < 600, and for minimum length = 600 if exploitation was > 30%, it never occurred with minimum length requirements > 650). Increasing the minimum length regulation improves size structure, but a maximum length regulation had minimal effect unless it was implemented at a sufficiently small size (i.e., < 700 mm). Although catch-and-release mortality can be relatively high at times in the literature, according to our model, it appears to have a small effect on size structure, except when exploitation rates are > 50% and a restrictive maximum size regulation (< 800 mm) is used.  The current population appears sustainable, especially considering the annual mixing dynamics and apparently large population (though we see a lot of uncertainty in the population estimates). However, modeling indicates that if enhancing size structure is an agency priority, then implementing more restrictive regulations could be advantageous.

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Vaisvil, A., Shoup, D., and Brewer, S.K., 2023, Striped bass exploitation in tailwater habitats of east-central Oklahoma: Cooperator Science Series FWS/CSS-152-2023, ii, 67 p.","productDescription":"ii, 67 p.","ipdsId":"IP-155654","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":431818,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/striped-bass-exploitation-tailwater-habitats-east-central-oklahoma"},{"id":433626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.68089573693297,\n 35.1807887620315\n ],\n [\n -94.68089573693297,\n 35.735103019942684\n ],\n [\n -95.40145518290683,\n 35.735103019942684\n ],\n [\n -95.40145518290683,\n 35.1807887620315\n ],\n [\n -94.68089573693297,\n 35.1807887620315\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vaisvil, Alex","contributorId":340784,"corporation":false,"usgs":false,"family":"Vaisvil","given":"Alex","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoup, Daniel","contributorId":340785,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":907555,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70270685,"text":"70270685 - 2023 - Evaluating the spatial and temporal distribution and ecology of Bighead and Silver Carp and native fishes of the lower Red River basin","interactions":[],"lastModifiedDate":"2025-08-22T15:14:39.937639","indexId":"70270685","displayToPublicDate":"2023-10-03T10:05:53","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-153-2023","title":"Evaluating the spatial and temporal distribution and ecology of Bighead and Silver Carp and native fishes of the lower Red River basin","docAbstract":"

We investigated the spatial and temporal distribution of Bighead Carp and Silver Carp (hereafter Carp) in the lower Red River basin of Arkansas. Our study objectives were: 1) determine the spatial and temporal extent of Bighead and Silver Carp in the Red River basin of Arkansas; 2) determine habitat associations of large river fish assemblages; and 3) summarize the demographics of Bighead and Silver Carp. We sampled 67 reaches in the lower Red River and its major tributaries for juvenile Carp and other small-bodied fishes (24 of the reaches were in the Arkansas portion of the Red River). We conducted repeated surveys in these reaches where the reaches were sampled 2-3 times over approximately 2 years representing 242 surveys (95 surveys in Arkansas). We completed adult Carp and native fish assemblage sampling across 61 reaches (22 reaches in Arkansas) where we also repeated surveys at these locations (245 total surveys, 100 surveys completed in Arkansas during the reporting period). We captured the most large-bodied fishes (including Carp) using gillnets and electrofishing, whereas fyke nets and seine hauls collected mainly smaller-bodied fishes. Hoop nets captured fewer fishes when compared to other gear types. We sampled 120,072 fishes, comprising 70 species and 41 genera, from the mainstem Red River in Arkansas. We used data associated with the entire catchment (including OK and TX data) to model the occupancy of adult fishes including both carp species. Carp tended to occupy reaches with the presence of slackwater habitat, that were deeper and narrower (lower habitat complexity), with higher discharge conditions, and were positively associated with chlorophyll-a concentrations. Adult and juvenile assemblage structure varied with reach scale attributes with notable differences among some taxonomically similar species. No carp under the age of 3 were sampled in the catchment. Bighead Carp and Silver Carp in the Red River catchment appear to live longer and grow larger than other populations. Silver Carp and Bighead Carp in the lower Red River had a theoretical maximum length (\uD835\uDC3F∞) of 920 and 1,348-mm TL, respectively. The oldest sampled Silver Carp and Bighead Carp were age 14 and 17, respectively. Bighead Carp growth was positively associated with warmer air temperatures and negatively associated with discharge variability. Similarly, Silver Carp growth was positively associated with warm air temperature and negatively associated with discharge variability. However, Silver Carp growth was also positively related to high discharge conditions and the variability of air temperature. Silver Carp annual mortality was relatively low and recruitment into the population appeared steady. It appears that Carp are likely coming from another catchment, have only limited or periodic successful reproduction in the study area, or spawn downriver in LA. Continued monitoring for reproductive success would be helpful. Moreover, if the goal is to greatly reduce or eliminate carp, then strategies that prevent further immigration before reproduction occurs or becomes more successful would be ideal. Targeted removal may then be useful for reducing numbers already in the catchment; however, there are also oxbow lakes that contain carp but appear only connected to the river during major floods (i.e., possible source locations). 

","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css88134777","usgsCitation":"Brewer, S., Dattilo, J., Ramsey, P., and Birdsall, B., 2023, Evaluating the spatial and temporal distribution and ecology of Bighead and Silver Carp and native fishes of the lower Red River basin: Cooperator Science Series CSS-153-2023, ii, 193 p., https://doi.org/10.3996/css88134777.","productDescription":"ii, 193 p.","ipdsId":"IP-177588","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3996/css88134777","text":"Publisher Index Page"},{"id":494522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Oklahoma, Texas","otherGeospatial":"lower Red River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.79873940117595,\n 34.31284035073031\n ],\n [\n -96.79873940117595,\n 33.02263338338369\n ],\n [\n -93.57412593043699,\n 33.02263338338369\n ],\n [\n -93.57412593043699,\n 34.31284035073031\n ],\n [\n -96.79873940117595,\n 34.31284035073031\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2023-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dattilo, John","contributorId":341000,"corporation":false,"usgs":false,"family":"Dattilo","given":"John","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramsey, Paul","contributorId":341001,"corporation":false,"usgs":false,"family":"Ramsey","given":"Paul","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birdsall, Ben","contributorId":341002,"corporation":false,"usgs":false,"family":"Birdsall","given":"Ben","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946824,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250109,"text":"70250109 - 2023 - Effects of vehicle traffic on space use and road crossings of caribou in the Arctic","interactions":[],"lastModifiedDate":"2023-12-04T17:27:48.321119","indexId":"70250109","displayToPublicDate":"2023-10-03T09:30:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of vehicle traffic on space use and road crossings of caribou in the Arctic","docAbstract":"

Assessing the effects of industrial development on wildlife is a key objective of managers and conservation practitioners. However, wildlife responses are often only investigated with respect to the footprint of infrastructure, even though human activity can strongly mediate development impacts. In Arctic Alaska, there is substantial interest in expanding energy development, raising concerns about the potential effects on barren-ground caribou (Rangifer tarandus granti). While caribou generally avoid industrial infrastructure, little is known about the role of human activity in moderating their responses, and whether managing activity levels could minimize development effects. To address this uncertainty, we examined the influence of traffic volume on caribou summer space use and road crossings in the Central Arctic Herd within the Kuparuk and Milne Point oil fields on the North Slope of Alaska. We first modeled spatiotemporal variation in hourly traffic volumes across the road system from traffic counter data using gradient-boosted regression trees. We then used generalized additive models to estimate nonlinear step selection functions and road-crossing probabilities from collared female caribou during the post-calving and insect harassment seasons, when they primarily interact with roads. Step selection analyses revealed that caribou selected areas further from roads (~1–3 km) during the post-calving and mosquito seasons and selected areas with lower traffic volumes during all seasons, with selection probabilities peaking when traffic was <5 vehicles/h. Using road-crossing models, we found that caribou were less likely to cross roads during the insect seasons as traffic increased, but that response dissipated as insect harassment became more severe. Past studies suggested that caribou exhibit behavioral responses when traffic exceeds 15 vehicles/h, but our results demonstrate behavioral responses at much lower traffic levels. Our results illustrate that vehicle activity mediates caribou responses to road infrastructure, information that can be used in future land-use planning to minimize the behavioral responses of caribou to industrial development in sensitive Arctic landscapes.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2923","usgsCitation":"Severson, J.P., Johnson, H.E., and Vosburgh, T.C., 2023, Effects of vehicle traffic on space use and road crossings of caribou in the Arctic: Ecological Applications, v. 33, no. 8, e2923, 21 p., https://doi.org/10.1002/eap.2923.","productDescription":"e2923, 21 p.","ipdsId":"IP-145608","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441958,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2923","text":"Publisher Index Page"},{"id":435163,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HXW3N5","text":"USGS data release","linkHelpText":"Hourly Vehicle Traffic Data Associated with Industrial Activity on the North Slope of Alaska During Summers 2019-2020"},{"id":422728,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -149.86133804316822,\n 70.5106570028494\n ],\n [\n -150.1022371487244,\n 70.43506564845134\n ],\n [\n -150.2251448556409,\n 70.43341923336993\n ],\n [\n -150.57911905156016,\n 70.3773618530881\n ],\n [\n -150.74135722468978,\n 70.32611628176022\n ],\n [\n -150.84459969849965,\n 70.2448529934669\n ],\n [\n -150.83476708194632,\n 70.20992730257379\n ],\n [\n -150.71677568330648,\n 70.143238146334\n ],\n [\n -151.12482927026898,\n 69.73513298795481\n ],\n [\n -150.58895166811348,\n 69.72322531382761\n ],\n [\n -150.42671349498383,\n 69.76237009655026\n ],\n [\n -150.24972639702415,\n 69.86563513788099\n ],\n [\n -150.16123284804445,\n 69.94084273688509\n ],\n [\n -149.85642173489157,\n 69.9705480654984\n ],\n [\n -149.4606589186207,\n 70.04604045538369\n ],\n [\n -149.24679950858615,\n 70.08973159573645\n ],\n [\n -148.97640255337,\n 70.26312377942679\n ],\n [\n -149.04031456096658,\n 70.34927534019323\n ],\n [\n -148.91740685405023,\n 70.41529987953601\n ],\n [\n -149.0501471775199,\n 70.48111126247821\n ],\n [\n -149.46311707275905,\n 70.52213540068598\n ],\n [\n -149.649936787272,\n 70.5106570028494\n ],\n [\n -149.86133804316822,\n 70.5106570028494\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Severson, John P. 0000-0002-1754-6689","orcid":"https://orcid.org/0000-0002-1754-6689","contributorId":213469,"corporation":false,"usgs":true,"family":"Severson","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":888389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":888390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vosburgh, Timothy C.","contributorId":331661,"corporation":false,"usgs":false,"family":"Vosburgh","given":"Timothy","email":"","middleInitial":"C.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":888391,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}