{"pageNumber":"149","pageRowStart":"3700","pageSize":"25","recordCount":68790,"records":[{"id":70262306,"text":"70262306 - 2022 - Within-marsh and landscape features structure ribbed mussel distribution in Georgia, USA, marshes","interactions":[],"lastModifiedDate":"2025-01-22T18:38:40.548941","indexId":"70262306","displayToPublicDate":"2022-05-25T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Within-marsh and landscape features structure ribbed mussel distribution in Georgia, USA, marshes","docAbstract":"<p><span>Ribbed mussels,&nbsp;</span><i>Geukensia demissa</i><span>, are marsh fauna that are used in coastal management and restoration due to the ecosystem services they provide. Ribbed mussel restoration efforts may be improved with a greater understanding of the environmental drivers of ribbed mussel distribution at multiple spatial scales to predict areas where restoration could be successful. This study sought to estimate the effects of within-marsh (4&nbsp;m) and landscape (500&nbsp;m) factors on ribbed mussel distribution. Ribbed mussel densities were surveyed at 11 sites along the coast of Georgia, USA, and overlaid with spatial data for within-marsh factors (elevation, distance to marsh features, slope) as well as landscape factors (percent cover by subtidal creek, forest, and development within a 500-m radius). The distribution model was then validated using three previously unsurveyed marshes and explained 55% of the variance in ribbed mussel abundance. Ribbed mussel abundances and occupancy were most sensitive to changes in within-marsh factors (elevation and distance to subtidal creeks, bodies of water inundated during the full tidal cycle) but were also sensitive to landscape features (percent landcover of forests and development). The highest ribbed mussel densities were found in mid-elevation areas (~ 0.7&nbsp;m NAVD88), far from subtidal creeks, and in marshes surrounded with forest and development. These results contrast with distributions in the northeastern USA, where ribbed mussels are distributed along subtidal creek banks. This work suggests that restoration may be most effective when focused on appropriate elevations and at locations away from the marsh-creek ecotone.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-022-01090-w","usgsCitation":"Annis, W., Hunter, E.A., and Carroll, J., 2022, Within-marsh and landscape features structure ribbed mussel distribution in Georgia, USA, marshes: Estuaries and Coasts, v. 45, p. 2660-2674, https://doi.org/10.1007/s12237-022-01090-w.","productDescription":"15 p.","startPage":"2660","endPage":"2674","ipdsId":"IP-132397","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481086,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s12237-022-01090-w","text":"External Repository"},{"id":480947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.27652817835495,\n              32.30818582903797\n            ],\n            [\n              -82.27652817835495,\n              31.035143348707706\n            ],\n            [\n              -80.80318017426605,\n              31.035143348707706\n            ],\n            [\n              -80.80318017426605,\n              32.30818582903797\n            ],\n            [\n              -82.27652817835495,\n              32.30818582903797\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2022-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Annis, William K.","contributorId":348800,"corporation":false,"usgs":false,"family":"Annis","given":"William K.","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":923780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carroll, John M.","contributorId":348801,"corporation":false,"usgs":false,"family":"Carroll","given":"John M.","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":923782,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231693,"text":"ofr20221028 - 2022 - Underwater videographic observations of domesticated Delta smelt in field enclosures","interactions":[],"lastModifiedDate":"2022-05-25T11:05:58.013536","indexId":"ofr20221028","displayToPublicDate":"2022-05-24T12:57:03","publicationYear":"2022","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":"2022-1028","displayTitle":"Underwater Videographic Observations of Domesticated Delta Smelt in Field Enclosures","title":"Underwater videographic observations of domesticated Delta smelt in field enclosures","docAbstract":"<p>The delta smelt (<i>Hypomesus transpacificus</i>) is a small, euryhaline fish species endemic to the Sacramento–San Joaquin Delta; it is protected under the U.S. and California Endangered Species Acts, and because of declines in population abundance, the delta smelt may be vulnerable to extinction. The California Department of Water Resources (DWR) is conducting studies to test the viability of using domesticated fish to supplement the wild population of delta smelt. These studies have focused on examining the health and survival of domesticated delta smelt placed inside enclosures (circular cages that are approximately 1.5 meters tall by 1 meter in diameter) into the wild. We completed two parts within this study using underwater cameras inside the enclosures to observe fish behavior and their responses to certain stimuli. In both parts of the study, delta smelt behaviors were broadly categorized into two basic categories: (1) normal and (2) alarm. Normal behavior was characterized as calm, non-polarized, and docile swimming behavior. Alarm behavior was characterized by sudden and rapid darting, polarized frantic swimming activity, and tighter schooling polarization of individuals.</p><p>The first part of the study took place in a semi-controlled agricultural pond on the campus of the University of California, Davis. At this agricultural pond, we developed methods of observation and documented how fish behaved in response to enclosure disturbances associated with routine cleaning and service that is required during extended field deployments of the enclosures. We observed that delta smelt behavior changed from normal to alarm at the onset of an enclosure service and from alarm to normal within about 2 minutes after the service ended.</p><p>The second part of the study was completed in cooperation with the DWR. In October 2019, DWR deployed three enclosures in the Sacramento River near Rio Vista, California. To monitor survival rate of delta smelt, DWR permitted us to deploy cameras in one enclosure to document the frequency and duration of alarm behaviors exhibited by delta smelt and the frequency, duration, and intensity of three types of disturbances: (1) noise generated from passing boats, (2) noise generated from the enclosure moving in response to wave energy, and (3) vertical movements of the enclosure generated from wave energy. Alarm behaviors averaged about 2 minutes in duration and occurred most frequently during the evening compared to midday or morning. Each disturbance variable exhibited substantial variability in duration and intensity and occurred least frequently during the morning and evening compared to midday. Alarm behaviors appeared to be most associated with high intensity enclosure noises and vertical movements; however, limited replicate samples prohibited developing a statistical relation. Alarm behaviors did not directly contribute to injury or mortality of individual delta smelt; however, indirect or sublethal effects of alarm behaviors were not examined.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221028","collaboration":"Prepared in cooperation with California Department of Water Resources","programNote":"Water Availability and Use Science Program","usgsCitation":"Enos, E., Patton, O., and Feyrer, F., 2022, Underwater videographic observations of domesticated Delta smelt in field enclosures: U.S. Geological Survey Open-File Report 2022–1028, 17 p., https://doi.org/10.3133/ofr20221028.","productDescription":"Report: vii, 17 p.; Data Release","numberOfPages":"17","onlineOnly":"Y","ipdsId":"IP-120423","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":401000,"rank":6,"type":{"id":39,"text":"HTML 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XML"},"url":"https://pubs.usgs.gov/of/2022/1028/ofr20221028.xml"},{"id":400870,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1028/covrthb.jpg"},{"id":400871,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1028/ofr20221028.pdf","text":"Report","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2022-1028"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.1514892578125,\n              37.896530447543\n            ],\n            [\n              -120.311279296875,\n              37.896530447543\n            ],\n            [\n              -120.311279296875,\n              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Cited&nbsp;</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-05-24","noUsgsAuthors":false,"publicationDate":"2022-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Enos, Ethan 0000-0002-7916-5259","orcid":"https://orcid.org/0000-0002-7916-5259","contributorId":225547,"corporation":false,"usgs":true,"family":"Enos","given":"Ethan","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patton, Oliver 0000-0002-2911-7718","orcid":"https://orcid.org/0000-0002-2911-7718","contributorId":218217,"corporation":false,"usgs":true,"family":"Patton","given":"Oliver","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843446,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70237942,"text":"70237942 - 2022 - Biophysical methods and data analysis for simulating overland flow in the Everglades","interactions":[],"lastModifiedDate":"2022-11-01T11:41:07.002773","indexId":"70237942","displayToPublicDate":"2022-05-24T06:36:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12802,"text":"ESSOAr","active":true,"publicationSubtype":{"id":10}},"title":"Biophysical methods and data analysis for simulating overland flow in the Everglades","docAbstract":"<p><span>The Everglades in south Florida supply fresh drinking water for more than 7 million people, host a National Park, and are classified as a Ramsar wetland of international distinction. Predicting trajectories of water flow and water storage changes in the future is important to managing the Congressionally authorized restoration of the Everglades. Here we describe the needed data sources and analysis approaches to build the inputs for biophysically based modeling that can protect water and ecological resources in the face of changing water management and climate conditions. A biophysical approach to modeling overland flow in the Everglades can help predict future outcomes for ecological habitat, water storage during droughts, and water conveyance during floods. The needed data include measurements of vegetation stem architecture, microtopography, and landscape pattern metrics. Stem architecture measurements present the opportunity to estimate flow roughness of distinct vegetation communities based on hydraulic principles. At a larger scale, the microtopography and the connectivity of the sloughs between ridges offer a way to quantify the effects of flow blockage and tortuous flow paths on overland flow. Combined with theory these data provide the capacity to simulate overland flow in both the historical, pre-drainage Everglades as well as in the present-day managed Everglades. Also provided are the hydrologic data, e.g., water slopes, water depths and overland flow velocities, that can be used to verify a biophysical model. Ultimately, the purpose is to anticipate how changing flow and water depth will interact with evolving vegetation and landscape conditions to influence future water availability for society and for the ecosystem, both in the Everglades and in other low-gradient floodplains.</span></p>","language":"English","publisher":"Earth and Space Science Open Archive","doi":"10.1002/essoar.10511451.1","usgsCitation":"Harvey, J., and Choi, J., 2022, Biophysical methods and data analysis for simulating overland flow in the Everglades: ESSOAr, 51 p., https://doi.org/10.1002/essoar.10511451.1.","productDescription":"51 p.","ipdsId":"IP-140509","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":447677,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/essoar.10511451.1","text":"External Repository"},{"id":435841,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DQYB1O","text":"USGS data release","linkHelpText":"Biophysical Data for Simulating Overland Flow in the Everglades"},{"id":408968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.07811851388726,\n              26.46536235501027\n            ],\n            [\n              -82.07811851388726,\n              24.821342005916392\n            ],\n            [\n              -79.90282554513692,\n              24.821342005916392\n            ],\n            [\n              -79.90282554513692,\n              26.46536235501027\n            ],\n            [\n              -82.07811851388726,\n              26.46536235501027\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Jay 0000-0003-1276-481X jchoi@usgs.gov","orcid":"https://orcid.org/0000-0003-1276-481X","contributorId":219096,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","email":"jchoi@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":856292,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70232278,"text":"70232278 - 2022 - The importance of lake emergent aquatic vegetation for estimating Arctic-boreal methane emissions","interactions":[],"lastModifiedDate":"2022-06-27T13:34:20.25476","indexId":"70232278","displayToPublicDate":"2022-05-23T18:24:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"The importance of lake emergent aquatic vegetation for estimating Arctic-boreal methane emissions","docAbstract":"<p>Areas of lakes that support emergent aquatic vegetation emit disproportionately more methane than open water but are under-represented in upscaled estimates of lake greenhouse gas emissions. These shallow areas are typically less than ∼1.5&nbsp;m deep and can be detected with synthetic aperture radar (SAR). To assess the importance of lake emergent vegetation (LEV) zones to landscape-scale methane emissions, we combine airborne SAR mapping with field measurements of vegetated and open-water methane flux. First, we use Uninhabited Aerial Vehicle SAR data from the NASA Arctic-Boreal Vulnerability Experiment to map LEV in 4,572 lakes across four Arctic-boreal study areas and find it comprises ∼16% of lake area, exceeding previous estimates, and exhibiting strong regional differences (averaging 59 [50–68]%, 22 [20–25]%, 1.0 [0.8–1.2]%, and 7.0 [5.0–12]% of lake areas in the Peace-Athabasca Delta, Yukon Flats, and northern and southern Canadian Shield, respectively). Next, we account for these vegetated areas through a simple upscaling exercise using paired methane fluxes from regions of open water and LEV. After excluding vegetated areas that could be accounted for as wetlands, we find that inclusion of LEV increases overall lake emissions by 21 [18–25]% relative to estimates that do not differentiate lake zones. While LEV zones are proportionately greater in small lakes, this relationship is weak and varies regionally, underscoring the need for methane-relevant remote sensing measurements of lake zones and a consistent criterion for distinguishing wetlands. Finally, Arctic-boreal lake methane upscaling estimates can be improved with more measurements from all lake zones.</p>","language":"English","publisher":"Wiley","doi":"10.1029/2021JG006635","usgsCitation":"Kyzivat, E.D., Smith, L., Garcia-Tigreros, F., Huang, C., Wang, C., Langhorst, T., Fayne, J.V., Harlan, M., Ishitsuka, Y., Feng, D., Dolan, W., Pitcher, L.H., Wickland, K., Dornblaser, M., Striegl, R.G., Pavelsky, T.M., Butman, D.E., and Gleason, C.J., 2022, The importance of lake emergent aquatic vegetation for estimating Arctic-boreal methane emissions: Journal of Geophysical Research: Biogeosciences, v. 127, e2021, 23 p., https://doi.org/10.1029/2021JG006635.","productDescription":"e2021, 23 p.","ipdsId":"IP-135368","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":447679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021jg006635","text":"Publisher Index Page"},{"id":402450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -147.83203125,\n              66.31986144668052\n            ],\n            [\n              -143.7890625,\n              66.31986144668052\n            ],\n            [\n              -143.7890625,\n              66.94727435155409\n            ],\n            [\n              -147.83203125,\n              66.94727435155409\n            ],\n            [\n              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0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":844972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Chang","contributorId":292526,"corporation":false,"usgs":false,"family":"Huang","given":"Chang","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":844973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Chao","contributorId":292527,"corporation":false,"usgs":false,"family":"Wang","given":"Chao","email":"","affiliations":[{"id":27517,"text":"University of North Carolina - Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":844974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langhorst, Theodore","contributorId":292528,"corporation":false,"usgs":false,"family":"Langhorst","given":"Theodore","email":"","affiliations":[{"id":27517,"text":"University of North Carolina - Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":844975,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fayne, Jessica V.","contributorId":292529,"corporation":false,"usgs":false,"family":"Fayne","given":"Jessica","email":"","middleInitial":"V.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":844976,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harlan, Merritt E.","contributorId":292530,"corporation":false,"usgs":false,"family":"Harlan","given":"Merritt E.","affiliations":[{"id":62930,"text":"UMass-Amherst","active":true,"usgs":false}],"preferred":false,"id":844977,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ishitsuka, Yuta","contributorId":292531,"corporation":false,"usgs":false,"family":"Ishitsuka","given":"Yuta","email":"","affiliations":[{"id":62930,"text":"UMass-Amherst","active":true,"usgs":false}],"preferred":false,"id":844978,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Feng, Dongmei","contributorId":219349,"corporation":false,"usgs":false,"family":"Feng","given":"Dongmei","email":"","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":844979,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dolan, Wayana 0000-0001-8405-4302","orcid":"https://orcid.org/0000-0001-8405-4302","contributorId":265350,"corporation":false,"usgs":false,"family":"Dolan","given":"Wayana","email":"","affiliations":[{"id":27051,"text":"University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":844980,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pitcher, Lincoln H.","contributorId":169006,"corporation":false,"usgs":false,"family":"Pitcher","given":"Lincoln","email":"","middleInitial":"H.","affiliations":[{"id":13022,"text":"Department of Geography, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":844981,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":844982,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dornblaser, Mark 0000-0002-6298-3757","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":220741,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":844983,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"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":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},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":844984,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pavelsky, Tamlin M.","contributorId":258838,"corporation":false,"usgs":false,"family":"Pavelsky","given":"Tamlin","email":"","middleInitial":"M.","affiliations":[{"id":52312,"text":"Department of Geological Sciences, University of North Carolina, Chapel Hill, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":844985,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Butman, David E.","contributorId":145535,"corporation":false,"usgs":false,"family":"Butman","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":16142,"text":"School of Environmental and Forest Sciences & Environmental Engineering, University of Washington, Seattle","active":true,"usgs":false}],"preferred":false,"id":844986,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Gleason, Colin J.","contributorId":169003,"corporation":false,"usgs":false,"family":"Gleason","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":13022,"text":"Department of Geography, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":844987,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70237019,"text":"70237019 - 2022 - Teams, networks, and networks of networks advancing our understanding and conservation of inland waters","interactions":[],"lastModifiedDate":"2022-09-27T18:26:23.163194","indexId":"70237019","displayToPublicDate":"2022-05-23T12:57:32","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Teams, networks, and networks of networks advancing our understanding and conservation of inland waters","docAbstract":"Networks are defined as groups of interconnected people and things, and by this definition, networks play a major role in the science of inland waters. In this article, we bring the latest social network research to understand and improve inland waters science and conservation outcomes. What we found is that relationships matter.\n\nDifferent teams and networks have different objectives and lifespans. Consider this: Data collection networks may persist for decades, whereas knowledge-generating teams may exist only for months. The structure of connections in a network determines how easily information or resources can flow or pass through a network, which then influences the ability of the network to accomplish work like creating and applying new knowledge, integrating knowledge across fields, or coordinating collective action.\n\nWhen independent networks designed around different purposes become connected to achieve new goals, a network of networks is formed, where each layer is a unique network defined by social, geographic, and temporal boundaries and distinct types of connections. This structure has a lot of potential for transformative work, but is especially susceptible to failure if one of the cross-network connections fails.\n\nFrom the smallest of inland waters research teams to the largest, multi-institutional, international collaborations, an understanding of how the connections between people are created and maintained can be used to set up conditions for success.","largerWorkTitle":"Encyclopedia of inland waters","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-819166-8.00054-2","usgsCitation":"Read, E., Cross, J., Herman-Mercer, N.M., Oliver, S.K., and O’Reilly, C.M., 2022, Teams, networks, and networks of networks advancing our understanding and conservation of inland waters, chap. <i>of</i> Encyclopedia of inland waters, v. 4, p. 607-624, https://doi.org/10.1016/B978-0-12-819166-8.00054-2.","productDescription":"18 p.","startPage":"607","endPage":"624","ipdsId":"IP-126937","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":407456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","edition":"2nd","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Tockner, Klement","contributorId":224174,"corporation":false,"usgs":false,"family":"Tockner","given":"Klement","email":"","affiliations":[{"id":40838,"text":"FWF Austrian Science Fund","active":true,"usgs":false}],"preferred":false,"id":853141,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Mehner, Thomas","contributorId":272917,"corporation":false,"usgs":false,"family":"Mehner","given":"Thomas","email":"","affiliations":[{"id":38332,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":853142,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Read, Emily 0000-0002-9617-9433 eread@usgs.gov","orcid":"https://orcid.org/0000-0002-9617-9433","contributorId":190110,"corporation":false,"usgs":true,"family":"Read","given":"Emily","email":"eread@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":853096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Jennifer 0000-0002-5582-4192","orcid":"https://orcid.org/0000-0002-5582-4192","contributorId":297016,"corporation":false,"usgs":false,"family":"Cross","given":"Jennifer","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":853097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":853098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":853099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Reilly, Catherine M.","contributorId":150334,"corporation":false,"usgs":false,"family":"O’Reilly","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":18004,"text":"Illinois State University","active":true,"usgs":false}],"preferred":false,"id":853100,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70247281,"text":"70247281 - 2022 - Measurement and variability of lake metabolism","interactions":[],"lastModifiedDate":"2023-07-26T14:37:33.211427","indexId":"70247281","displayToPublicDate":"2022-05-23T09:35:06","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Measurement and variability of lake metabolism","docAbstract":"<p id=\"sp0050\"><i>Aim</i>: The aim of this article is to provide an overview of what contributes to lake metabolism, a brief overview of methods for estimating lake metabolism, and drivers of metabolism variability within and across lakes.</p><p id=\"sp0055\"><i>Main concepts covered</i><span>: In this article, we describe the key drivers of within and across lake variability in metabolism including lake&nbsp;morphometry, nutrients, light availability, temperature, and organic matter and how these drivers shape lake metabolic patterns across Earth's biomes.</span></p><p id=\"sp0060\"><i>Conclusion/Outlook</i>: We end the article with how interacting factors influence lake metabolic rates and how recent and future global changes may influence lake metabolism patterns.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Inland Waters","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-819166-8.00029-3","usgsCitation":"Zwart, J.A., and Brighenti, L.S., 2022, Measurement and variability of lake metabolism, chap. <i>of</i> Encyclopedia of Inland Waters, v. 2, p. 163-173, https://doi.org/10.1016/B978-0-12-819166-8.00029-3.","productDescription":"11 p.","startPage":"163","endPage":"173","ipdsId":"IP-120390","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":419351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","edition":"Second Edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":879103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brighenti, Ludmila S","contributorId":317713,"corporation":false,"usgs":false,"family":"Brighenti","given":"Ludmila","email":"","middleInitial":"S","affiliations":[{"id":69135,"text":"Universidade do Estado de Minas Gerais","active":true,"usgs":false}],"preferred":false,"id":879104,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70237245,"text":"70237245 - 2022 - Hydrological cycle and water budgets","interactions":[],"lastModifiedDate":"2022-10-05T14:33:45.429244","indexId":"70237245","displayToPublicDate":"2022-05-23T09:28:40","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hydrological cycle and water budgets","docAbstract":"<p id=\"sp0025\">In this chapter, we describe the<span>&nbsp;</span>hydrological cycle<span>&nbsp;</span>and each of its components (pools). The hydrological cycle is important to the transport and cycling of nutrients and energy. Quantifying the various components of the hydrological cycle, referred to as constructing water budget for a defined area, is an important framework for wise and equitable water management. The hydrological cycle has changed as the result of human activity affecting specific components of the water budget and the movement of water between the components. Water budgets are provided for two defined areas: the earth as a whole and the watershed of a small inland lake.</p><p id=\"sp0030\">Given a specific area with well-defined boundaries, constructing a water budget consists of quantifying the amount and relationships among inflow, outflow, and change in storage within a defined area of the hydrological cycle, water budgets relevant to inland waters and<span>&nbsp;</span>aquatic ecosystems, and how the hydrological cycle and water budgets have been affected by anthropogenic modifications.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of inland waters","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-819166-8.00008-6","usgsCitation":"Robertson, D., Perlman, H.A., and Narisimhan, T.N., 2022, Hydrological cycle and water budgets, chap. <i>of</i> Encyclopedia of inland waters, p. 19-27, https://doi.org/10.1016/B978-0-12-819166-8.00008-6.","productDescription":"9 p.","startPage":"19","endPage":"27","ipdsId":"IP-121572","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":407961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Second Edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":853822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perlman, Howard A. 0000-0002-2392-0737","orcid":"https://orcid.org/0000-0002-2392-0737","contributorId":297327,"corporation":false,"usgs":true,"family":"Perlman","given":"Howard","email":"","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":853823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Narisimhan, T. N.","contributorId":297329,"corporation":false,"usgs":false,"family":"Narisimhan","given":"T.","email":"","middleInitial":"N.","affiliations":[{"id":33770,"text":"University of California at Berkeley","active":true,"usgs":false}],"preferred":false,"id":853824,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70238776,"text":"70238776 - 2022 - Worldwide wetland loss and conservation of biodiversity and ecosystem services","interactions":[],"lastModifiedDate":"2022-12-12T15:15:10.893711","indexId":"70238776","displayToPublicDate":"2022-05-23T09:12:32","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Worldwide wetland loss and conservation of biodiversity and ecosystem services","docAbstract":"<p id=\"sp0040\"><i>Aim</i>: Best strategies for future conservation and management to address global and regional trends in wetland loss and degradation are assessed in this article.</p><p id=\"sp0045\"><i>Main concepts covered</i><span>: Direct drivers of wetland loss and change include land drainage and filling, hydrologic alteration, degradation from pollutants and sediments, and conversion to agriculture, urban and industrial usage. Estimates of global wetland loss are as high as 87% since 1700 CE. All regions of the world have lost wetland area. The designation of wetland protected area reduces disturbance by humans and supports the&nbsp;conservation of biodiversity&nbsp;and habitat. Protected areas have been designated by local, state, or federal entities,&nbsp;NGOs&nbsp;(e.g., Nature Conservancy), and the&nbsp;Ramsar Convention&nbsp;on Wetlands. Protected wetlands have great value for human society. For example, wetlands such as peatland and swamp store carbon that would otherwise be released as greenhouse gases to the atmosphere. A case study of the Keoladeo National Park, Rajasthan, India underscores the importance of maintaining water supply to maintain aquatic vegetation in protected wetlands.</span></p><p id=\"sp0050\"><i>Conclusion/outlook</i>: Given the combined stresses of land-use and climate change to wetland protected areas, management of altered wetlands may improve their function. Beneficial management actions can include freshwater remediation of hydrologically-altered floodplains, improved wetland reserve design, assisted migration, and the softening of burning/cutting during drought. A better knowledge of potential of management actions to remediate land-use change will be helpful in addressing protected area management to promote conservation in the future.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of inland waters","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-819166-8.00058-X","usgsCitation":"Middleton, B., 2022, Worldwide wetland loss and conservation of biodiversity and ecosystem services, chap. <i>of</i> Encyclopedia of inland waters, v. 3, p. 288-294, https://doi.org/10.1016/B978-0-12-819166-8.00058-X.","productDescription":"7 p.","startPage":"288","endPage":"294","ipdsId":"IP-118283","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":410283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":222689,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":858560,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70238744,"text":"70238744 - 2022 - Wetlands under global change","interactions":[],"lastModifiedDate":"2022-12-07T13:13:47.960346","indexId":"70238744","displayToPublicDate":"2022-05-23T07:12:50","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Wetlands under global change","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0010\" class=\"abstract author\" lang=\"en\"><div id=\"as0010\"><p id=\"sp0015\">Wetlands are among the ecosystem types most threatened by global change, including both climate change and other anthropogenic factors such as sea level rise, urban development, deforestation, agricultural land use, drainage, levees, tidal flow restrictions, pollution, eutrophication, and fires. Wetlands not only store disproportionate amounts of carbon compared to other terrestrial ecosystems, but they lie at the terrestrial-aquatic interface crucial to understanding landscape and global scale biogeochemical cycles. In this chapter, we focus on the major global change factors affecting wetlands and the responses of different wetland types to those global change factors. Special attention is given to direct responses to increasing atmospheric carbon dioxide levels. Because of their hydrological connections and placement at the terrestrial-aquatic interface, the conservation of wetlands involves accounting for uncertainties related to interacting stressors. While the past decades have seen many important experimental and observational studies of wetland responses to global change factors, large uncertainties remain, especially within tropical regions where even the basic extent of wetland ecosystems is not well documented.</p></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Inland Waters","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-819166-8.00142-0","usgsCitation":"Ward, E., 2022, Wetlands under global change, chap. <i>of</i> Encyclopedia of Inland Waters, v. 3, p. 295-302, https://doi.org/10.1016/B978-0-12-819166-8.00142-0.","productDescription":"8 p.","startPage":"295","endPage":"302","ipdsId":"IP-133979","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":410158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ward, Eric 0000-0002-5047-5464","orcid":"https://orcid.org/0000-0002-5047-5464","contributorId":218962,"corporation":false,"usgs":true,"family":"Ward","given":"Eric","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":858466,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70232088,"text":"70232088 - 2022 - Societal values of inland fishes","interactions":[],"lastModifiedDate":"2022-06-06T12:03:18.718111","indexId":"70232088","displayToPublicDate":"2022-05-23T06:59:49","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Societal values of inland fishes","docAbstract":"<p>a.</p><p id=\"p0010\"><i>Aim:</i><span>&nbsp;</span>To demonstrate the societal values of inland fishes through nine services provided by inland fishes. Each service is defined, key stakeholders identified, and threats enumerated. Diverse case studies (geography, taxonomy, fishery-type) provide examples to highlight the societal values around the world.</p><p>b.</p><p id=\"p0015\"><i>Main concepts:</i><span>&nbsp;Nine societal services of inland fishes – 1. Livelihoods and subsistence income; 2. Commercial income; 3. Food and nutrition; 4. Recreational services; 5. Cultural services; 6. Educational and scientific opportunities within fisheries; 7. Biodiversity and ecosystem function; 8. Regulation and indicator of&nbsp;<a class=\"topic-link\" title=\"Learn more about freshwater quality from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/freshwater-quality\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/freshwater-quality\">freshwater quality</a>; and 9. Regulation of freshwater quantity and natural flow regimes.</span></p><p>c.</p><p id=\"p0020\"><i>Conclusion/outlook:</i><span>&nbsp;Inland fishes have immense social, economic, and ecological importance.&nbsp;<a class=\"topic-link\" title=\"Learn more about Freshwater ecosystems from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/freshwater-ecosystem\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/freshwater-ecosystem\">Freshwater ecosystems</a>&nbsp;face a diverse array of pressures that threaten the fulfillment of societal services. Addressing key knowledge gaps can assist with sustainable management and conservation of these important resources.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Encyclopedia of Inland Waters","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-819166-8.00030-X","usgsCitation":"Lynch, A., Arthur, R.I., Baigun, C., Claussen, J., Kangur, K., Koning, A.A., Murchie, K.J., Myers, B., Stokes, G.L., Tingley, R.W., and Youn, S., 2022, Societal values of inland fishes, chap. <i>of</i> The Encyclopedia of Inland Waters, v. 4, p. 475-490, https://doi.org/10.1016/B978-0-12-819166-8.00030-X.","productDescription":"16 p.","startPage":"475","endPage":"490","ipdsId":"IP-120829","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":401744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","edition":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":844170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arthur, Robert I.","contributorId":292266,"corporation":false,"usgs":false,"family":"Arthur","given":"Robert","email":"","middleInitial":"I.","affiliations":[{"id":62853,"text":"Woodhill Solutions","active":true,"usgs":false}],"preferred":false,"id":844171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baigun, Claudio","contributorId":292267,"corporation":false,"usgs":false,"family":"Baigun","given":"Claudio","email":"","affiliations":[{"id":62854,"text":"Institute of Research and Environmental Engineering","active":true,"usgs":false}],"preferred":false,"id":844172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Claussen, Julie E.","contributorId":292268,"corporation":false,"usgs":false,"family":"Claussen","given":"Julie E.","affiliations":[{"id":47804,"text":"Fisheries Conservation Foundation","active":true,"usgs":false}],"preferred":false,"id":844173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kangur, Külli","contributorId":292269,"corporation":false,"usgs":false,"family":"Kangur","given":"Külli","affiliations":[{"id":18000,"text":"Estonian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":844174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koning, Aaron A.","contributorId":292270,"corporation":false,"usgs":false,"family":"Koning","given":"Aaron","email":"","middleInitial":"A.","affiliations":[{"id":16704,"text":"University of Nevada - Reno","active":true,"usgs":false}],"preferred":false,"id":844175,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murchie, Karen J.","contributorId":292271,"corporation":false,"usgs":false,"family":"Murchie","given":"Karen","email":"","middleInitial":"J.","affiliations":[{"id":39376,"text":"Shedd Aquarium","active":true,"usgs":false}],"preferred":false,"id":844176,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Myers, Bonnie 0000-0002-3170-2633","orcid":"https://orcid.org/0000-0002-3170-2633","contributorId":219702,"corporation":false,"usgs":true,"family":"Myers","given":"Bonnie","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":844177,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stokes, Gretchen L.","contributorId":292272,"corporation":false,"usgs":false,"family":"Stokes","given":"Gretchen","email":"","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":844178,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tingley, Ralph William 0000-0002-1689-2133","orcid":"https://orcid.org/0000-0002-1689-2133","contributorId":258043,"corporation":false,"usgs":true,"family":"Tingley","given":"Ralph","email":"","middleInitial":"William","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":844179,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Youn, So-Jung","contributorId":292273,"corporation":false,"usgs":false,"family":"Youn","given":"So-Jung","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":844180,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70231692,"text":"fs20223033 - 2022 - Selenium in the Kootenai River Basin, Montana and Idaho, United States, and British Columbia, Canada","interactions":[],"lastModifiedDate":"2026-03-24T21:18:41.523205","indexId":"fs20223033","displayToPublicDate":"2022-05-23T06:58:26","publicationYear":"2022","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":"2022-3033","displayTitle":"Selenium in the Kootenai River Basin, Montana and Idaho, United States, and British Columbia, Canada","title":"Selenium in the Kootenai River Basin, Montana and Idaho, United States, and British Columbia, Canada","docAbstract":"<p>Selenium entering the 90-mile long transboundary Koocanusa Reservoir (also called Lake Koocanusa) in southeastern British Columbia, Canada, and northwestern Montana, United States, has been measured at concentrations above State and Federal water-quality and aquatic life standards. The reservoir is within the international Kootenai (or “Kootenay” in Canada) drainage basin, which contains critical habitat for native fish species and is impounded by Libby Dam 16 miles upstream from Libby, Montana. Since 1984, selenium concentrations have ranged from below detection to greater than 8 micrograms per liter in the Elk River, measured 2.2 miles above its discharge into Koocanusa Reservoir at a British Columbia environmental monitoring station (site 0200016). Selenium is a required micro-nutrient, but elevated concentrations in water bioaccumulate in egg-laying fish and birds, causing various sublethal effects and death. One possible source of selenium in the Kootenai River Basin is the excavation of bedrock in the Elk River Valley to access coal seams for metallurgical steelmaking and coal production. Five open-pit coal mines are operating in this region of southeastern British Columbia that produce about 21 million tons of metallurgical coal annually.</p><p>Site-specific selenium standards were established for the reservoir in 2020 following collaborative work by the U.S. Geological Survey, Montana Department of Environmental Quality, the British Columbia Ministry of Environment and Climate Change Strategy, the Lake Koocanusa Monitoring and Research Working Group, and the Selenium Technical Subcommittee. The standards of 0.8 microgram per liter for dissolved selenium in the water column and 15.1 milligrams per kilogram dry weight for fish egg (ovary) tissue (in addition to the muscle and wholebody standards) were adopted into Montana State law in 2020 and approved by the U.S. Environmental Protection Agency in 2021.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223033","usgsCitation":"U.S. Geological Survey, 2022, Selenium in the Kootenai River Basin, Montana and Idaho, United States, and British Columbia, Canada: U.S. Geological Survey Fact Sheet 2022–3033, 4 p., https://doi.org/10.3133/fs20223033.","productDescription":"Report: 4 p.; Data Release; 3 Datasets","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-139916","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":400866,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YYVV7R","text":"USGS data release","linkHelpText":"Selenium and mercury in fish tissues from the Kootenai River, Montana and Idaho, 2018–2019"},{"id":400864,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3033/fs20223033.XML"},{"id":400865,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3033/images"},{"id":400862,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3033/coverthb.jpg"},{"id":400863,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3033/fs20223033.pdf","text":"Report","size":"2.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3033"},{"id":501490,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113067.htm","linkFileType":{"id":5,"text":"html"}},{"id":400881,"rank":9,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/fs20223033/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":400869,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":400868,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://www.waterqualitydata.us","text":"National Water Quality Monitoring Council database","linkHelpText":"—Water Quality Portal"},{"id":400867,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://kwt.bcwatertool.ca/drainagebasin","text":"British Columbia Ministry of Forests Lands Natural Resource Operations and Rural Development database","linkHelpText":"—BC Water Tool"}],"country":"Canada, United States","state":"British Columbia, Idaho, Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.90551757812499,\n              47.88688085106901\n            ],\n            [\n              -114.54345703125,\n              47.88688085106901\n            ],\n            [\n              -114.54345703125,\n              50.48547354578499\n            ],\n            [\n              -116.90551757812499,\n              50.48547354578499\n            ],\n            [\n              -116.90551757812499,\n              47.88688085106901\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wyoming-montana-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wyoming-montana-water-science-center\">Wyoming-Montana Water Science Center</a> <br>U.S. Geological Survey<br>3162 Bozeman Avenue <br>Helena, MT 59601</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Previous Work in the Kootenai River Basin</li><li>Ongoing and Future Work</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-05-23","noUsgsAuthors":false,"publicationDate":"2022-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128240,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":843443,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70252816,"text":"70252816 - 2022 - Environmental drivers of cyanobacterial abundance and cyanotoxin production in backwaters of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2024-04-08T23:47:34.73073","indexId":"70252816","displayToPublicDate":"2022-05-22T08:46:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Environmental drivers of cyanobacterial abundance and cyanotoxin production in backwaters of the Upper Mississippi River","docAbstract":"<p>High densities of cyanobacteria in aquatic ecosystems can cause impacts to ecosystem services because they serve as a poor-quality food resource, produce toxins and can indirectly cause a variety of other negative impacts to water quality. There are many hypotheses about the potential environmental drivers of variation in cyanobacterial abundance and toxicity, but these hypotheses have rarely been considered in combination and rarely been examined in large river ecosystems. Here we use monthly data from backwater habitats of the Upper Mississippi River (UMR) to evaluate associations between environmental conditions and cyanobacterial abundance and toxicity (microcystin and anatoxin-a) that would be expected based on several hypotheses. Backwaters in the Mississippi River vary in flushing rate, temperature, turbidity, nutrient availability, water depth and vegetative cover. We find support for hypotheses that suggest physical conditions in backwaters (flushing rate, temperature, turbidity, rooted vegetation cover and water depth) and nutrient availability influence cyanobacterial abundance and toxicity. We then used structural equation modeling to incorporate several hypotheses into a causal modeling framework, which indicated that backwater connectivity (flushing) strongly influences cyanobacterial abundance via the regulation of water temperature, and that nutrient availability strongly influences the presence of microcystin concentrations above our detection limit. Our data suggest that management of backwater connectivity could influence cyanobacterial abundance and toxicity in UMR backwaters. Reconnecting backwaters (via alteration of levees) could serve as a local adaptation to minimize the effects of climate change and excessive nutrient loading.&nbsp;</p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3987","usgsCitation":"Giblin, S.M., Larson, J.H., and King, J.D., 2022, Environmental drivers of cyanobacterial abundance and cyanotoxin production in backwaters of the Upper Mississippi River: River Research and Applications, v. 38, no. 6, p. 1115-1128, https://doi.org/10.1002/rra.3987.","productDescription":"14 p.","startPage":"1115","endPage":"1128","ipdsId":"IP-134311","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":427556,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Stares","state":"Wisconsin","otherGeospatial":"Blue Lake, Great River Backwater, Indian Slough, Lizzy Paul's Pond, Mertes Lake, Second Lake, Stoddard Backwater, Trempealeau Wildlife Refuge, Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.7533542542472,\n              44.157127527506105\n            ],\n            [\n              -91.7533542542472,\n              43.58283679178368\n            ],\n            [\n              -90.94310098095912,\n              43.58283679178368\n            ],\n            [\n              -90.94310098095912,\n              44.157127527506105\n            ],\n            [\n              -91.7533542542472,\n              44.157127527506105\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"38","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Giblin, Shawn M.","contributorId":335419,"corporation":false,"usgs":false,"family":"Giblin","given":"Shawn","email":"","middleInitial":"M.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":898322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":898323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Jeremy D.","contributorId":335420,"corporation":false,"usgs":false,"family":"King","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":898324,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70233467,"text":"70233467 - 2022 - How beavers are changing Arctic landscapes and Earth’s climate","interactions":[],"lastModifiedDate":"2022-07-21T14:16:06.220539","indexId":"70233467","displayToPublicDate":"2022-05-21T09:10:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9348,"text":"Frontiers for Young Minds","active":true,"publicationSubtype":{"id":10}},"title":"How beavers are changing Arctic landscapes and Earth’s climate","docAbstract":"<div class=\"abstract\"><p>Beavers build dams that change the way water moves between streams, lakes, and the land. In Alaska, beavers are moving north from the forests into the Arctic tundra. When beavers build dams in the Arctic, they cause frozen soil, called permafrost, to thaw. Scientists are studying how beavers and the thawing of permafrost are impacting streams and rivers in Alaska’s national parks. For example, permafrost thaw from beavers can add harmful substances like mercury to streams. Mercury can be taken up by stream food webs, including fish, which then become unhealthy to eat. Permafrost thaw can also move carbon (from dead plants) to beaver ponds. When this carbon decomposes, it can be released from beaver ponds into the air as greenhouse gases, which cause Earth’s climate to warm. Scientists are trying to keep up with these busy beavers to better understand how they are changing Arctic landscapes and Earth’s climate.</p></div>","language":"English","publisher":"Frontiers Media","doi":"10.3389/frym.2022.719051","usgsCitation":"O’Donnell, J.A., Carey, M.P., Poulin, B., Tape, K., and Koch, J.C., 2022, How beavers are changing Arctic landscapes and Earth’s climate: Frontiers for Young Minds, v. 10, 719051, https://doi.org/10.3389/frym.2022.719051.","productDescription":"719051","ipdsId":"IP-129768","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":447693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frym.2022.719051","text":"Publisher Index Page"},{"id":404216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70267234,"text":"70267234 - 2022 - Influences of seasonality and habitat quality on Great Lakes coastal wetland fish community composition and diets","interactions":[],"lastModifiedDate":"2025-05-19T15:08:02.013492","indexId":"70267234","displayToPublicDate":"2022-05-21T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21632,"text":"Wetland Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Influences of seasonality and habitat quality on Great Lakes coastal wetland fish community composition and diets","docAbstract":"<p><span>Great Lakes coastal wetlands (GLCW) have been severely degraded by anthropogenic activity over the last several decades despite their critical role in fish production. Many Great Lakes fish species use coastal wetland habitats for spawning, feeding, shelter, and nurseries throughout the year. The goal of our study was to compare GLCW fish community composition in the spring, summer, and fall months and investigate how water quality relates to fish diversity, the presence of functional groups, and juvenile fish diets. We summarized fish data collected from GLCW across the basin and used the coastal wetland monitoring program’s water quality-land use indicator to quantify water quality. Basin-wide, we found taxonomic and functional group differences in community composition among three sampling seasons, as well as across the range of water quality. Water quality was positively associated with the abundance of small cyprinids and the relative abundance of some habitat and reproductive specialists. Seasonal differences were also observed for many of these functional groups, with more temperature- and pollution-sensitive fishes captured in the spring and more nest-spawning fishes captured in the summer and fall. In our diet study, we found that age-0 fish primarily consumed zooplankton in the fall, whereas age-1 fish primarily consumed macroinvertebrates in the spring. Moreover, wetland quality was positively associated with trichopteran prey abundance. We concluded that taxonomic and functional composition of fish communities in GLCW vary markedly with respect to water quality and season. Thus, a full understanding of communities across a gradient of quality requires multi-season sampling.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11273-022-09862-8","usgsCitation":"Diller, S., Harrison, A., Kowalski, K., Brady, V., Ciborowski, J., Cooper, M.J., Dumke, J., Gathman, J., Ruetz, C., Uzarski, D.G., Wilcox, D., and Schaeffer, J., 2022, Influences of seasonality and habitat quality on Great Lakes coastal wetland fish community composition and diets: Wetland Ecology and Management, v. 30, p. 439-460, https://doi.org/10.1007/s11273-022-09862-8.","productDescription":"22 p.","startPage":"439","endPage":"460","ipdsId":"IP-133178","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":486155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.98042758143248,\n              48.00533202110063\n            ],\n            [\n              -92.4544017806511,\n              47.09186420788265\n            ],\n            [\n              -90.93931418529223,\n              46.82009820546638\n            ],\n            [\n              -88.15934346347329,\n              46.49921317133217\n            ],\n            [\n              -87.75820768115408,\n              41.72932138108676\n            ],\n            [\n              -81.47679465253952,\n              41.26802908107109\n            ],\n            [\n              -75.73140554858799,\n              43.76282170300337\n            ],\n            [\n              -82.16775874431909,\n              43.47029804432211\n            ],\n            [\n              -82.73294354635479,\n              45.83385483728805\n            ],\n            [\n              -87.90812366646838,\n              48.31652223525934\n            ],\n            [\n              -89.98042758143248,\n              48.00533202110063\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"30","noUsgsAuthors":false,"publicationDate":"2022-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Diller, Sara 0000-0003-1502-0074","orcid":"https://orcid.org/0000-0003-1502-0074","contributorId":223495,"corporation":false,"usgs":true,"family":"Diller","given":"Sara","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":937411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Anna M.","contributorId":355448,"corporation":false,"usgs":false,"family":"Harrison","given":"Anna M.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":937412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":937413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Valerie J.","contributorId":355450,"corporation":false,"usgs":false,"family":"Brady","given":"Valerie J.","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":937414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ciborowski, Jan J.H.","contributorId":355452,"corporation":false,"usgs":false,"family":"Ciborowski","given":"Jan J.H.","affiliations":[{"id":48871,"text":"University of Windsor","active":true,"usgs":false}],"preferred":false,"id":937415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cooper, Matthew J.","contributorId":211007,"corporation":false,"usgs":false,"family":"Cooper","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":38169,"text":"University of Southamton, UK","active":true,"usgs":false}],"preferred":false,"id":937416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dumke, Joshua D.","contributorId":355453,"corporation":false,"usgs":false,"family":"Dumke","given":"Joshua D.","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":937417,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gathman, Joseph P.","contributorId":172904,"corporation":false,"usgs":false,"family":"Gathman","given":"Joseph P.","affiliations":[],"preferred":false,"id":937418,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruetz, Carl R. 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,{"id":70254233,"text":"70254233 - 2022 - The protectiveness of aquatic life criteria for threatened or endangered aquatic species: Cadmium in California","interactions":[],"lastModifiedDate":"2024-05-14T14:29:04.843582","indexId":"70254233","displayToPublicDate":"2022-05-20T10:28:28","publicationYear":"2022","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":17779,"text":"OSF Preprints","active":true,"publicationSubtype":{"id":32}},"title":"The protectiveness of aquatic life criteria for threatened or endangered aquatic species: Cadmium in California","docAbstract":"<p>In the United States, conflicts can arise between the processes to derive aquatic life criteria (ALC) for chemicals under the Clean Water Act (CWA) and the evaluation procedures used in Endangered Species Act (ESA) consultations on the protectiveness of those criteria for protected species. This paper examines the roots of, and possible reconciliation of, one longstanding conflict over cadmium aquatic life criteria in California. This case study includes 1) an overview of occurrences of cadmium in the aquatic environment, 2) factors affecting toxicity of cadmium to aquatic life, 3) a contrast between the analytical procedures of CWA aquatic life criteria derivation and ESA consultation, 4) quantitative estimates of no-effect concentrations of cadmium for 44 ESA listed species in comparison with updated aquatic life criteria, and 5) concludes with suggestions to update California’s aquatic life criteria for cadmium that would be more protective of sensitive ESA listed species. </p><p>A root cause of conflict is the different levels of biological organization that are the focus of CWA and ESA procedures. The CWA ALC are intended to protect diverse ecosystems by protecting at least 95% of the species richness in communities, allowing that it is acceptable for some species in the residual most sensitive 5% of the community richness to be harmed or even locally extirpated so long as they are not societally important species. The ESA is charged with minimizing harm to individual organisms and disallows increasing risk of extinction or impeding recovery of protected species. With cadmium in California, these procedures converge because some of the most sensitive species to cadmium happen to be surrogates for protected species (acute responses of steelhead/rainbow trout, <i>Oncorhynchus mykiss</i>, and chronic responses of threespine stickleback, <i>Gasterosteus aculeatus</i>). The present review concludes that while the superseded 1996 cadmium criteria versions would not be fully protective for up to half of the 44 ESA listed aquatic species in California, the updated 2016 versions would be more protective. Still, the review shows that the updated acute criteria would only fully protect the less sensitive half of the distribution of data for steelhead/rainbow trout sensitivity to cadmium, and the chronic criterion still would not protect the listed threespine stickleback. With a data rich species such as rainbow trout, instead of defining acute criteria using a central tendency statistic such as the geometric mean of multiple test responses, using a lower statistic such as the 10th percentile would ensure that the vast majority of a sensitive, protected species (and all less sensitive species) would be protected. Available data for the stickleback indicate it may be highly sensitive to cadmium, but no threshold can be derived from existing data. Additional testing with cadmium and stickleback would be needed to suggest an alternative, quantitative approach.</p>","language":"English","publisher":"OSF Preprints","doi":"10.31219/osf.io/d3tpe","usgsCitation":"Mebane, C.A., 2022, The protectiveness of aquatic life criteria for threatened or endangered aquatic species: Cadmium in California: OSF Preprints, https://doi.org/10.31219/osf.io/d3tpe.","productDescription":"44 p.","numberOfPages":"44","ipdsId":"IP-137876","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":447697,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.31219/osf.io/d3tpe","text":"External Repository"},{"id":428689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70231755,"text":"70231755 - 2022 - Assessing climate change impacts on Pacific salmon using bioenergetics and spatiotemporal explicit river temperature predictions under varying riparian conditions","interactions":[],"lastModifiedDate":"2022-05-25T15:00:58.75195","indexId":"70231755","displayToPublicDate":"2022-05-20T09:56:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Assessing climate change impacts on Pacific salmon using bioenergetics and spatiotemporal explicit river temperature predictions under varying riparian conditions","docAbstract":"<p><span>Pacific salmon and trout populations are affected by timber harvest, the removal and alteration of riparian vegetation, and the resulting physical changes to water quality, temperature, and associated delivery of high-quality terrestrial prey. Juvenile salmon and trout growth, a key predictor of survival, is poorly understood in the context of current and future (climate-change mediated) conditions, with resource managers needing information on how land use will impact future river conditions for these commercially and culturally important species. We used the Heat Source water temperature modeling framework to develop a spatiotemporal model to assess how riparian canopy and vegetation preservation and addition could influence river temperatures under future climate predictions in a coastal river fed by a moraine-dammed lake: the Quinault River in Washington State. The model predicted higher water temperatures under future carbon emission projections, representative concentration pathway (RCP) 4.5 and 8.5, with varying magnitude based on different riparian vegetation scenarios. We used the daily average temperature output from these scenarios to predict potential juvenile fish growth using the Wisconsin bioenergetics model. A combination of riparian vegetation removal and continued high carbon emissions resulted in a predicted seven-day average daily maximum temperature (7DADM) increase of 1.7°C in the lower river by 2080; increases in riparian shading mitigate this 7DADM increase to only 0.9°C. Under the current thermal regime, bioenergetics modeling predicts juvenile fish lose weight in the lower river; this loss of potential growth worsens by an average of 20–83% in the lower river by 2080, increasing with the loss of riparian shading. This study assess the impact of riparian vegetation management on future thermal habitat for Pacific salmon and trout under warming climates and provide a useful spatially explicit modeling framework that managers can use to make decisions regarding riparian vegetation management and its mechanistic impact to water temperature and rearing juvenile fish.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0266871","usgsCitation":"Spanjer, A.R., Gendaszek, A.S., Wulfkuhle, E.J., Black, R.W., and Jaeger, K.L., 2022, Assessing climate change impacts on Pacific salmon using bioenergetics and spatiotemporal explicit river temperature predictions under varying riparian conditions: PLoS ONE, v. 17, no. 5, e0266871, 25 p., https://doi.org/10.1371/journal.pone.0266871.","productDescription":"e0266871, 25 p.","ipdsId":"IP-119800","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":447705,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0266871","text":"Publisher Index Page"},{"id":435843,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XGI6GS","text":"USGS data release","linkHelpText":"Quinault River water temperature and salmon bioenergetics model data"},{"id":435842,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GSX4QE","text":"USGS data release","linkHelpText":"Water temperature and riparian vegetation survey data for the lower Quinault River, WA for select periods in 2018 and 2019"},{"id":401045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Quinault, Quinault River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.31854248046875,\n              47.292270864380086\n            ],\n            [\n              -123.82553100585936,\n              47.292270864380086\n            ],\n            [\n              -123.82553100585936,\n              47.50421439972969\n            ],\n            [\n              -124.31854248046875,\n              47.50421439972969\n            ],\n            [\n              -124.31854248046875,\n              47.292270864380086\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Spanjer, Andrew R. 0000-0002-7288-2722 aspanjer@usgs.gov","orcid":"https://orcid.org/0000-0002-7288-2722","contributorId":150395,"corporation":false,"usgs":true,"family":"Spanjer","given":"Andrew","email":"aspanjer@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wulfkuhle, Elyse J.","contributorId":207132,"corporation":false,"usgs":false,"family":"Wulfkuhle","given":"Elyse","email":"","middleInitial":"J.","affiliations":[{"id":37427,"text":"Quinault Indian Tribe","active":true,"usgs":false}],"preferred":false,"id":843703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaeger, Kristin L. 0000-0002-1209-8506","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":206935,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843705,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231812,"text":"70231812 - 2022 - Nearshore bathymetric changes along the Alaska Beaufort Sea coast and possible physical drivers","interactions":[],"lastModifiedDate":"2022-05-27T13:29:13.252547","indexId":"70231812","displayToPublicDate":"2022-05-20T08:24:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore bathymetric changes along the Alaska Beaufort Sea coast and possible physical drivers","docAbstract":"<p><span>Erosion rates&nbsp;along Alaska's Beaufort Sea coast, among the highest in the world, are negatively impacting communities, industrial and military infrastructure, and wildlife habitat. Decreasing maximal winter ice extent and increasing summer open water duration and extent in the Beaufort Sea may be making the coast more vulnerable to destructive storm waves than during recent, colder, icier decades. Previous studies of Beaufort Sea coastal change have been limited to subaerial analyses of the&nbsp;shoreline. Here we describe nearshore seafloor change by comparing post-World War II (WWII) (1945-53)&nbsp;bathymetry&nbsp;data to recently acquired (1985–2018) bathymetry data and relate the observed seafloor change to adjacent shoreline change near Utqiagvik, within Stefansson Sound, and immediately west of Barter Island and Kaktovik. Within the Utqiagvik region,&nbsp;seabed&nbsp;erosion was generally highest (&gt;1.0&nbsp;m of loss) offshore of Point&nbsp;Barrow&nbsp;and along the eastern end of the Tapkaluk Islands, while there were lesser amounts of deposition (&lt;0.5&nbsp;m of gain) within the protected waters of Elson&nbsp;Lagoon. Sedimentation was generally highest offshore of Point Barrow, in a region of converging currents, and on the landward side of the barrier islands and spits fronting Elson Lagoon, which is likely related to a regional trend of westerly&nbsp;sediment transport&nbsp;and landward migration of the barrier islands. Within Stefansson Sound, perhaps the most notable changes from post-WWII bathymetry data compared to recent data are a switch from mixed, low erosion and deposition in 1997 to low deposition (&lt;0.5&nbsp;m) in 2018 east of the Boulder Patch, a switch from low erosion in 1997 to neutral depth change in 2018 in the channel between the north and south Boulder Patch areas, and higher deposition from 1997 to 2018 landward of the rapidly retreating barrier islands along the Sound's northern border. At Barter Island, high erosion near north-facing shorelines and high deposition near west-facing shorelines generally matched shoreline changes. One of our goals is to identify possible processes responsible for the depth changes we quantified. Using simple metrics that relate sediment characteristics with modeled waves and non-wave induced currents, we show that sediment&nbsp;</span>resuspension<span>&nbsp;and transport by both wave and non-wave driven currents likely contribute to the overall patterns of change within the ∼13&nbsp;m isobath along the open coast, and that the influence of wave action affecting sediment transport is expanding seaward.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2022.104745","usgsCitation":"Zimmermann, M., Erikson, L.H., Gibbs, A.E., Prescott, M., Escarzaga, S.M., Tweedie, C.E., Kasper, J., and Duvoy, P.X., 2022, Nearshore bathymetric changes along the Alaska Beaufort Sea coast and possible physical drivers: Continental Shelf Research, v. 242, 104745, 15 p., https://doi.org/10.1016/j.csr.2022.104745.","productDescription":"104745, 15 p.","ipdsId":"IP-132441","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":447707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2022.104745","text":"Publisher Index Page"},{"id":401293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -164.00390625,\n              69.33383491964828\n            ],\n            [\n              -140.9326171875,\n              69.33383491964828\n            ],\n            [\n              -140.9326171875,\n              72.39570570653261\n            ],\n            [\n              -164.00390625,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":843889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":843890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prescott, Megan M.","contributorId":292137,"corporation":false,"usgs":false,"family":"Prescott","given":"Megan M.","affiliations":[{"id":62835,"text":"Lynker Technologies, Under contract to Alaska Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":843891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Escarzaga, Stephen M.","contributorId":279732,"corporation":false,"usgs":false,"family":"Escarzaga","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":843892,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tweedie, Craig E.","contributorId":200176,"corporation":false,"usgs":false,"family":"Tweedie","given":"Craig","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":843893,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kasper, Jeremy L. 0000-0003-0975-6114","orcid":"https://orcid.org/0000-0003-0975-6114","contributorId":208630,"corporation":false,"usgs":false,"family":"Kasper","given":"Jeremy L.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":843894,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duvoy, Paul X.","contributorId":292138,"corporation":false,"usgs":false,"family":"Duvoy","given":"Paul","email":"","middleInitial":"X.","affiliations":[{"id":62836,"text":"Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK, USA","active":true,"usgs":false}],"preferred":false,"id":843895,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70231681,"text":"70231681 - 2022 - Fish ear stones offer climate change clues in Alaska's lakes","interactions":[],"lastModifiedDate":"2022-05-20T11:52:34.690861","indexId":"70231681","displayToPublicDate":"2022-05-20T06:50:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9348,"text":"Frontiers for Young Minds","active":true,"publicationSubtype":{"id":10}},"title":"Fish ear stones offer climate change clues in Alaska's lakes","docAbstract":"<div class=\"abstract\"><p>Otoliths, also known as ear stones, are small body parts that help fish with hearing and balance. Like tree rings, otoliths form one light and one dark band per year, creating rings. These rings can be measured to understand fish growth. The wider the ring, the greater the growth. In our study, we used otoliths to understand how one fish species—lake trout—responds to rising temperature in the state of Alaska. We found that warmer spring air temperature and earlier lake ice melt were related to faster lake trout growth. This finding is consistent with other studies that link warmer water temperature and earlier lake ice melt to increased plankton in Alaska’s lakes. Together, these findings suggest that climate-driven increases at the bottom of the food web might benefit top predators like lake trout. However, the relationship between warmer temperature and faster growth may not last.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/frym.2022.726495","usgsCitation":"Bartz, K.K., von Biela, V.R., Black, B.A., Young, D.B., van der Sleen, P., and Zimmerman, C.E., 2022, Fish ear stones offer climate change clues in Alaska's lakes: Frontiers for Young Minds, HTML Document, https://doi.org/10.3389/frym.2022.726495.","productDescription":"HTML Document","ipdsId":"IP-130554","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":447712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frym.2022.726495","text":"Publisher Index Page"},{"id":400854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70231713,"text":"70231713 - 2022 - Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales","interactions":[],"lastModifiedDate":"2022-05-24T11:45:43.21324","indexId":"70231713","displayToPublicDate":"2022-05-20T06:41:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales","docAbstract":"<p>Previous studies indicate that cyanobacterial harmful algal bloom (cyanoHAB) frequency, extent, and magnitude have increased globally over the past few decades. However, little quantitative capability is available to assess these metrics of cyanoHABs across broad geographic scales and at regular intervals. Here, the spatial extent was quantified from a cyanobacteria algorithm applied to two European Space Agency satellite platforms—the MEdium Resolution Imaging Spectrometer (MERIS) onboard Envisat and the Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3. CyanoHAB spatial extent was defined for each geographic area as the percentage of valid satellite pixels that exhibited cyanobacteria above the detection limit of the satellite sensor. This study quantified cyanoHAB spatial extent for over 2,000 large lakes and reservoirs across the contiguous United States (CONUS) during two time periods: 2008–2011 via MERIS and 2017–2020 via OLCI when cloud-, ice-, and snow-free imagery was available. Approximately 56% of resolvable lakes were glaciated, 13% were headwater, isolated, or terminal lakes, and the rest were primarily drainage lakes. Results were summarized at national-, regional-, state-, and lake-scales, where regions were defined as nine climate regions which represent climatically consistent states. As measured by satellite, changes in national cyanoHAB extent did have a strong increase of 6.9% from 2017 to 2020 (|Kendall’s tau (τ)| = 0.56; gamma (γ) = 2.87 years), but had negligible change (|τ| = 0.03) from 2008 to 2011. Two of the nine regions had moderate (0.3 ≤ |τ| &lt; 0.5) increases in spatial extent from 2017 to 2020, and eight of nine regions had negligible (|τ| &lt; 0.2) change from 2008 to 2011. Twelve states had a strong or moderate increase from 2017 to 2020 (|τ| ≥ 0.3), while only one state had a moderate increase and two states had a moderate decrease from 2008 to 2011. A decrease, or no change, in cyanoHAB spatial extent did not indicate a lack of issues related to cyanoHABs. Sensitivity results of randomly omitted daily CONUS scenes confirm that even with reduced data availability during a short four-year temporal assessment, the direction and strength of the changes in spatial extent remained consistent. We present the first set of national maps of lake cyanoHAB spatial extent across CONUS and demonstrate an approach for quantifying past and future changes at multiple spatial scales. Results presented here provide water quality managers information regarding current cyanoHAB spatial extent and quantify rates of change.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2022.108990","usgsCitation":"Schaeffer, B., Urquhart, E., Coffer, M., Salls, W., Stumpf, R., Loftin, K.A., and Werdell, P., 2022, Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales: Ecological Indicators, v. 140, 108990, 14 p., https://doi.org/10.1016/j.ecolind.2022.108990.","productDescription":"108990, 14 p.","ipdsId":"IP-140263","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":447718,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2022.108990","text":"Publisher Index Page"},{"id":400909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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             -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"140","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schaeffer, Blake","contributorId":291956,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Blake","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":843509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Urquhart, Erin","contributorId":291957,"corporation":false,"usgs":false,"family":"Urquhart","given":"Erin","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":843510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coffer, Megan","contributorId":291790,"corporation":false,"usgs":false,"family":"Coffer","given":"Megan","affiliations":[{"id":62754,"text":"Oak Ridge Institute for Science and Education, U.S. Environmental Protection Agency,","active":true,"usgs":false}],"preferred":false,"id":843511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salls, Wilson","contributorId":291789,"corporation":false,"usgs":false,"family":"Salls","given":"Wilson","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":843512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stumpf, Richard","contributorId":291793,"corporation":false,"usgs":false,"family":"Stumpf","given":"Richard","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":843513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":843514,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Werdell, P. Jeremy","contributorId":291794,"corporation":false,"usgs":false,"family":"Werdell","given":"P. Jeremy","affiliations":[{"id":37453,"text":"National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":843515,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70231596,"text":"dr1155 - 2022 - Airborne electromagnetic survey results near the Poso Creek oil field, San Joaquin Valley, California, fall 2016","interactions":[],"lastModifiedDate":"2026-03-16T20:04:43.969667","indexId":"dr1155","displayToPublicDate":"2022-05-19T15:50:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1155","displayTitle":"Airborne Electromagnetic Survey Results near the Poso Creek Oil Field, San Joaquin Valley, California, Fall 2016","title":"Airborne electromagnetic survey results near the Poso Creek oil field, San Joaquin Valley, California, fall 2016","docAbstract":"<p>An airborne electromagnetic survey west of the Poso Creek oil field, located in the southeastern San Joaquin Valley, California, was flown in October 2016 to improve understanding of the hydrogeologic setting and the distribution of groundwater salinity in the area. The airborne electromagnetic data were used to develop resistivity models of the subsurface, where the mean depth of investigation is about 300 meters below the land surface and thus characterizes parts of the Kern River Formation and overlying sediments. Resistivity models along with water table elevation, historical total dissolved solids measurements of water samples from wells, well lithologic records, borehole geophysical logs, and mapped surface geology were used to develop an understanding of local hydrogeologic controls on resistivity. Interpretation of these data indicate the resistivity structure primarily reflects the general lithologic character and geologic structure of the study area, with more subtle influences from variations in saturation and salinity.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/dr1155","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Zamudio, K.D., Ball, L.B., and Stephens, M.J., 2022, Airborne electromagnetic survey results near the Poso Creek oil field, San Joaquin Valley, California, fall 2016: U.S. Geological Survey Data Report 1155, 55 p., https://doi.org/10.3133/dr1155.","productDescription":"Report: vii, 59 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-131476","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":501206,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113076.htm","linkFileType":{"id":5,"text":"html"}},{"id":400702,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1155/dr1155.xml"},{"id":400701,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1155/images"},{"id":400662,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1155/coverthb.jpg"},{"id":400663,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1155/dr1155.pdf","text":"Report","size":"14.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1155"},{"id":400664,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H9AVZY","text":"USGS data release","linkHelpText":"Airborne electromagnetic and magnetic survey data, southeastern San Joaquin Valley near Cawelo, California, 2016"}],"country":"United States","state":"California","otherGeospatial":"Poso Creek Oil Field, San Joaquin Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.2,\n              35.4667\n            ],\n            [\n              -119.0667,\n              35.4667\n            ],\n            [\n              -119.0667,\n              35.5833\n            ],\n            [\n              -119.2,\n              35.5833\n            ],\n            [\n              -119.2,\n              35.4667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director,&nbsp;<a href=\"https://www.usgs.gov/centers/gggsc/\" data-mce-href=\"https://www.usgs.gov/centers/gggsc/\">Geology, Geophysics, and Geochemistry Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 973<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract</li><li>Introduction&nbsp;&nbsp;</li><li>Hydrogeologic Setting</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Modeled Resistivity Profiles for Airborne Electromagnetic Flight Line</li></ul>","publishedDate":"2022-05-19","noUsgsAuthors":false,"publicationDate":"2022-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Zamudio, Katrina D. 0000-0003-0278-0154","orcid":"https://orcid.org/0000-0003-0278-0154","contributorId":203252,"corporation":false,"usgs":true,"family":"Zamudio","given":"Katrina","email":"","middleInitial":"D.","affiliations":[],"preferred":true,"id":843092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":843093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843094,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262466,"text":"70262466 - 2022 - Unique land cover classification to assess day-roost habitat selection of northern long-eared bats on the Coastal Plain of North Carolina, USA","interactions":[],"lastModifiedDate":"2025-01-23T17:13:35.036104","indexId":"70262466","displayToPublicDate":"2022-05-19T11:04:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Unique land cover classification to assess day-roost habitat selection of northern long-eared bats on the Coastal Plain of North Carolina, USA","docAbstract":"<p><span>Reproductively successful and over-wintering populations of the endangered northern long-eared bat (</span><i><span class=\"html-italic\">Myotis septentrionalis</span></i><span>) have recently been discovered on the Coastal Plain of North Carolina. Empirical data on resource selection within the region is limited, likely hindering management of these coastal forests. Our objectives were to determine roosting home range size, selection of day-roost tree species, second- and third-order roosting habitat selection, and to quantify the overall availability of resources in the surrounding landscape. We found core and peripheral roosting home range estimates were large, yet similar to observations from other areas of contiguous forests. Prior to juvenile volancy, female northern long-eared bats appear to select red maple (</span><i><span class=\"html-italic\">Acer rubrum</span></i><span>), water ash (</span><i><span class=\"html-italic\">Fraxinus caroliniana</span></i><span>), and loblolly pine (</span><i><span class=\"html-italic\">Pinus taeda</span></i><span>) as day-roosts, but then use sweetgum (</span><i><span class=\"html-italic\">Liquidambar styraciflua</span></i><span>), swamp bay (</span><i><span class=\"html-italic\">Persea palustris</span></i><span>), and water tupelo (</span><i><span class=\"html-italic\">Nyssa aquatica</span></i><span>) after juvenile volancy. At the second-order spatial scale, roosting home ranges were associated with woody wetlands farther from anthropogenic development and open water. However, within the third-order scale, northern long-eared bats were associated with undeveloped woody wetlands and upland forests, areas containing shorter trees and occurring proximal to open water. Peripheral and core areas were predicted to comprise approximately 20% of the local landscape. Our results show that complex and large tracts of woody wetlands juxtaposed with upland forests in this part of the Coastal Plain may be important for northern long-eared bats locally, results largely consistent with species management efforts in eastern North America.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f13050792","usgsCitation":"De La Cruz, J., True, M., Taylor, H., Brown, D., and Ford, W., 2022, Unique land cover classification to assess day-roost habitat selection of northern long-eared bats on the Coastal Plain of North Carolina, USA: Forests, v. 13, no. 5, 792, 12 p., https://doi.org/10.3390/f13050792.","productDescription":"792, 12 p.","ipdsId":"IP-139280","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481087,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f13050792","text":"Publisher Index Page"},{"id":481010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Coastal Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.75026436537884,\n              36.551057495425155\n            ],\n            [\n              -76.75026436537884,\n              36.10817288230365\n            ],\n            [\n              -75.80386759650264,\n              36.10817288230365\n            ],\n            [\n              -75.80386759650264,\n              36.551057495425155\n            ],\n            [\n              -76.75026436537884,\n              36.551057495425155\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"De La Cruz, Jesse L.","contributorId":342611,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse L.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":924270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"True, Michael C.","contributorId":270631,"corporation":false,"usgs":false,"family":"True","given":"Michael C.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":924271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Hila","contributorId":270923,"corporation":false,"usgs":false,"family":"Taylor","given":"Hila","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":924272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Dorothy","contributorId":349381,"corporation":false,"usgs":false,"family":"Brown","given":"Dorothy","affiliations":[{"id":83477,"text":"Brown Environmental 13","active":true,"usgs":false}],"preferred":false,"id":924273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":924274,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70259617,"text":"70259617 - 2022 - Late Holocene human-environment interactions on the central California coast, USA, inferred from Morro Bay salt marsh sediments","interactions":[],"lastModifiedDate":"2024-10-17T12:11:25.905893","indexId":"70259617","displayToPublicDate":"2022-05-19T07:09:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":815,"text":"Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Late Holocene human-environment interactions on the central California coast, USA, inferred from Morro Bay salt marsh sediments","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><div id=\"sp0050\" class=\"u-margin-s-bottom\"><span>Coastal salt&nbsp;marshes&nbsp;and&nbsp;estuaries&nbsp;provide valuable ecosystem services, yet are susceptible to alteration from human activities. Records of past environmental change in these ecosystems can elucidate relationships between human activities, such as land-use practices, and physical and ecological processes, such as sediment accretion and vegetation changes. To reconstruct the environmental history of one such site, we present inferences based on analysis of&nbsp;sediment cores&nbsp;(including&nbsp;magnetic susceptibility, loss-on-ignition, and pollen) from the Morro Bay salt marsh, located in California’s central coast in the&nbsp;USA. Chronologic control for the sediments was established using radiocarbon dates, a spike in lead (Pb) sourced from gasoline combustion exhaust, and the first identified occurrences of the non-native taxa&nbsp;</span><span>Erodium</span><span>&nbsp;</span>cf.<span>&nbsp;</span><i>cicutarium</i><span>&nbsp;</span>(filaree) and<span>&nbsp;</span><span>Eucalyptus</span><span>. We demonstrate that the Morro Bay watershed was significantly altered following Spanish settlement in the region. Environmental changes associated with&nbsp;livestock&nbsp;grazing and&nbsp;agriculture&nbsp;become evident in the data starting after 1772 CE, when the Mission San Luis Obispo de Tolosa was established nearby. The most prominent changes observed are an increase in the accumulation rate of terrigenous sediment, organic matter, and carbonates, as well as a reduction in arboreal taxa concomitant with increased abundances of shrubs, herbs, and grasses. The expansion of&nbsp;</span><span>Salicornia</span><span>&nbsp;(pickleweed) in the 19th century suggests the salt marsh expanded at this time due to increased sediment accumulation and a resulting increase in&nbsp;local elevation. The timing and character of changes recorded in the Morro Bay salt marsh sediments are similar to those documented across California in&nbsp;estuaries,&nbsp;marshes, lakes, and meadows, demonstrating the magnitude of the impacts of European settlement and associated land-use practices in this region.</span></div></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ancene.2022.100339","usgsCitation":"Broadman, E., Reidy, L.M., and Wahl, D., 2022, Late Holocene human-environment interactions on the central California coast, USA, inferred from Morro Bay salt marsh sediments: Anthropocene, v. 38, 100339, https://doi.org/10.1016/j.ancene.2022.100339.","productDescription":"100339","ipdsId":"IP-099787","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":462941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Broadman, Ellie 0000-0002-6794-3922","orcid":"https://orcid.org/0000-0002-6794-3922","contributorId":345205,"corporation":false,"usgs":false,"family":"Broadman","given":"Ellie","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":915984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reidy, Liam M.","contributorId":105372,"corporation":false,"usgs":true,"family":"Reidy","given":"Liam","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":916036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wahl, David 0000-0002-0451-3554","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":206113,"corporation":false,"usgs":true,"family":"Wahl","given":"David","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":915985,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231727,"text":"70231727 - 2022 - Streambank and floodplain geomorphic change and contribution to watershed material budgets","interactions":[],"lastModifiedDate":"2022-05-25T11:55:02.13662","indexId":"70231727","displayToPublicDate":"2022-05-19T06:50:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Streambank and floodplain geomorphic change and contribution to watershed material budgets","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Stream geomorphic change is highly spatially variable but critical to landform evolution, human infrastructure, habitat, and watershed pollutant transport. However, measurements and process models of streambank erosion and floodplain deposition and resulting sediment fluxes are currently insufficient to predict these rates in all perennial streams over large regions. Here we measured long-term lateral streambank and vertical floodplain change and sediment fluxes using dendrogeomorphology in streams around the U.S. Mid-Atlantic, and then statistically modeled and extrapolated these rates to all 74 133 perennial, nontidal streams in the region using watershed- and reach-scale predictors. Measured long-term rates of streambank erosion and floodplain deposition were highly spatially variable across the landscape from the mountains to the coast. Random Forest regression identified that geomorphic change and resulting fluxes of sediment and nutrients, for both streambank and floodplain, were most influenced by urban and agricultural land use and the drainage area of the upstream watershed. Modeled rates for headwater streams were net erosional whereas downstream reaches were on average net depositional, leading to regional cumulative sediment loads from streambank erosion (−5.1 Tg yr<sup>−1</sup>) being nearly balanced by floodplain deposition (+5.3 Tg yr<sup>−1</sup>). Geomorphic changes in stream valleys had substantial influence on watershed sediment, phosphorus, carbon, and nitrogen budgets in comparison to existing predictions of upland erosion and delivery to streams and of downstream sediment loading. The unprecedented scale of these novel findings provides important insights into the balance of erosion and deposition in streams within disturbed landscapes and the importance of geomorphic change to stream water quality and carbon sequestration, and provides vital understanding for targeting management actions to restore watersheds.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac6e47","usgsCitation":"Noe, G.E., Hopkins, K.G., Claggett, P., Schenk, E., Metes, M.J., Ahmed, L., Doody, T.R., and Hupp, C.R., 2022, Streambank and floodplain geomorphic change and contribution to watershed material budgets: Environmental Research Letters, v. 17, 064015, 14 p., https://doi.org/10.1088/1748-9326/ac6e47.","productDescription":"064015, 14 p.","ipdsId":"IP-122680","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":447738,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70231726,"text":"70231726 - 2022 - Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere","interactions":[],"lastModifiedDate":"2022-10-17T15:29:45.909866","indexId":"70231726","displayToPublicDate":"2022-05-19T06:43:20","publicationYear":"2022","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":"Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>For many avian species, spatial migration patterns remain largely undescribed, especially across hemispheric extents. Recent advancements in tracking technologies and high-resolution species distribution models (i.e., eBird Status and Trends products) provide new insights into migratory bird movements and offer a promising opportunity for integrating independent data sources to describe avian migration. Here, we present a three-stage modeling framework for estimating spatial patterns of avian migration. First, we integrate tracking and band re-encounter data to quantify migratory connectivity, defined as the relative proportions of individuals migrating between breeding and nonbreeding regions. Next, we use estimated connectivity proportions along with eBird occurrence probabilities to produce probabilistic least-cost path (LCP) indices. In a final step, we use generalized additive mixed models (GAMMs) both to evaluate the ability of LCP indices to accurately predict (i.e., as a covariate) observed locations derived from tracking and band re-encounter datasets versus pseudo-absence locations during migratory periods, and to create a fully integrated (i.e., eBird occurrence, LCP, and tracking/band re-encounter data) spatial prediction index for mapping species-specific seasonal migrations. To illustrate this approach, we apply this framework to describe seasonal migrations of 12 bird species across the Western Hemisphere during pre- and post-breeding migratory periods (i.e., spring and fall, respectively). We found that including LCP indices with eBird occurrence in GAMMs generally improved the ability to accurately predict observed migratory locations, when compared to models with eBird occurrence alone. Using three performance metrics, the eBird + LCP model demonstrated equivalent or superior fit relative to the eBird-only model for 22 of 24 species-season GAMMs. In particular, the integrated index filled in spatial gaps for species with over-water movements and those that migrated over land where there were few eBird sightings, and thus, low predictive ability of eBird occurrence probabilities (e.g., Amazonian rainforest in South America). This methodology of combining individual-based seasonal movement data with temporally dynamic species distribution models provides a comprehensive approach for integrating multiple data types to describe broad-scale spatial patterns of animal movement. Further development and customization of this approach will continue to advance knowledge about the full annual cycle and conservation of migratory birds.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2679","usgsCitation":"Meehan, T., Saunders, S.P., DeLuca, W., Michel, N.L., Grand, J., Deppe, J., JImenez, M., Knight, E., Seavy, N.E., Smith, M., Taylor, L., Witko, C., Akresh, M., Barber, D.S., Bayne, D., Beasley, J., Belant, J.L., Bierregaard, R.O., Bildstein, K.L., Boves, T.J., Brzorad, J.N., Campbell, S.B., Celis-Murillo, A., Cooke, H., Domenech, R., Goodrich, L.J., Gow, E.A., Haines, A., Hallworth, M.T., Hill, J.M., Holland, A.E., Jennings, S., Kays, R., King, T., MacFarland, K., Mckenzie, S., Marra, P.P., McCabe, R., McFarland, K.P., McGrady, M.J., Melcer, J., Norris, R., Norvell, R., Rhodes Jr., O., Rimmer, C.C., Scarpignato, A.L., Shreading, A., Watson, J., and Wilsey, C., 2022, Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere: Ecological Applications, v. 32, no. 7, e2679, 17 p., https://doi.org/10.1002/eap.2679.","productDescription":"e2679, 17 p.","ipdsId":"IP-129775","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":447746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2679","text":"Publisher Index Page"},{"id":401035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-07-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Meehan, Timothy","contributorId":291963,"corporation":false,"usgs":false,"family":"Meehan","given":"Timothy","affiliations":[{"id":27800,"text":"National Audubon 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0000-0002-1448-1445","orcid":"https://orcid.org/0000-0002-1448-1445","contributorId":229630,"corporation":false,"usgs":false,"family":"Wilsey","given":"Chad","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843595,"contributorType":{"id":1,"text":"Authors"},"rank":49}]}}
,{"id":70255081,"text":"70255081 - 2022 - Whooping and sandhill cranes visit upland ponds proportional to migration phenology on the Texas coast","interactions":[],"lastModifiedDate":"2024-06-12T23:24:24.932813","indexId":"70255081","displayToPublicDate":"2022-05-18T18:21:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Whooping and sandhill cranes visit upland ponds proportional to migration phenology on the Texas coast","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Two crane species, whooping cranes (<i>Grus americana</i>) and sandhill cranes (<i>Antigone canadensis</i>), overwinter along the Texas Gulf Coast. Periodic, extreme drought conditions have prompted concerns that potential freshwater limitations could hinder conservation of cranes, especially endangered whooping cranes. In response, land managers constructed and maintained freshwater ponds in upland areas near saltmarshes on the wintering grounds. We monitored 30 of those constructed ponds using camera traps (1 Oct 2013–31 May 2014) to quantify crane visits. For each species, we modeled pond visits as a function of migration phenology and environmental variables at 2 scales. Pond-scale variables included distance to saltmarsh and monthly salinity, and broad-scale variables included bay salinity, drought index, and tide level. We found pond visits by both crane species followed migration phenology with the greatest pond use in January–February. Both crane species visited ponds more on the mainland than on Matagorda Island. Sandhill crane visits were fewer at ponds with higher salinities and those filled by well water. Cranes visited ponds during the diurnal period and tended to avoid visiting ponds during the first 10% of the day. Pond visits by whooping cranes were ≤0.15 times/pond/day and by sandhill cranes were ≤0.28 times/pond/day. Our results suggested crane visits to constructed ponds may not be as frequent as once assumed nor driven by tidal and salinity conditions in the bay. The greater number of crane visits to constructed ponds on the mainland compared to Matagorda Island may be related to shrub encroachment around natural freshwater swale wetlands on the mainland, which is not as prevalent of a problem on the island. With proper management, swales on the mainland may provide alternatives to constructed ponds for cranes to obtain freshwater and forage.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.1290","usgsCitation":"Butler, M.J., Metzger, K.L., Sanspree, C.R., Cain, J.W., and Harris, G.M., 2022, Whooping and sandhill cranes visit upland ponds proportional to migration phenology on the Texas coast: Wildlife Society Bulletin, v. 46, no. 3, e1290, 15 p., https://doi.org/10.1002/wsb.1290.","productDescription":"e1290, 15 p.","ipdsId":"IP-127633","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","volume":"46","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Butler, Matthew J","contributorId":239688,"corporation":false,"usgs":false,"family":"Butler","given":"Matthew","email":"","middleInitial":"J","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":903332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metzger, Kristine L.","contributorId":147144,"corporation":false,"usgs":false,"family":"Metzger","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":16794,"text":"USFWS, Div of Biol Serv, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":903333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanspree, Colt R.","contributorId":274816,"corporation":false,"usgs":false,"family":"Sanspree","given":"Colt","email":"","middleInitial":"R.","affiliations":[{"id":56661,"text":"U.S. Fish and Wildlife Service, Austwell, TX USA","active":true,"usgs":false}],"preferred":false,"id":903334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harris, Grant M","contributorId":290710,"corporation":false,"usgs":false,"family":"Harris","given":"Grant","email":"","middleInitial":"M","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903335,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}