{"pageNumber":"378","pageRowStart":"9425","pageSize":"25","recordCount":184776,"records":[{"id":70232247,"text":"70232247 - 2022 - Turbidity and estimated phosphorus retention in a reconnected Lake Erie coastal wetland","interactions":[],"lastModifiedDate":"2022-06-17T14:15:00.422295","indexId":"70232247","displayToPublicDate":"2022-06-09T09:05:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Turbidity and estimated phosphorus retention in a reconnected Lake Erie coastal wetland","docAbstract":"<p><span>Nearly all of the wetlands in the coastal zone of Lake Erie have been degraded or destroyed since the 1860s, and most of those that remain are separated from their watersheds by earthen dikes. Hydrologic isolation of these wetlands disrupts ecosystem benefits typical to Great Lakes coastal wetlands, particularly the ability to trap sediments and retain nutrients when inundated by runoff and lake water. High-frequency measurements of turbidity and discharge were taken in 2013 and 2014 to observe turbidity and water flow dynamics to estimate total phosphorus flux of a hydrologically reconnected diked wetland pool in the Crane Creek-Lake Erie wetland complex. Modeled estimates suggest the reconnected pool retained 8% of the total phosphorus loading in 2013 and 10% in 2014, which included short periods of phosphorus export to Lake Erie. Water flowing out of the wetland generally had lower turbidity than inflowing water, but flux in and out of the pool varied seasonally and was linked to changes in lake-levels, seiche dynamics, and weather conditions. More frequent storms, higher winds, and stronger seiches in the spring and fall created turbidity patterns that suggest more phosphorus retention than in summer or winter. Estimates suggest that phosphorus was released during the summer when higher lake levels and the absence of frequent storms, larger short-term seiche oscillations, and potentially soil oxygen availability were driving flux dynamics. This study demonstrated that reestablishing lake hydrology through reconnection of wetland pools can reduce loading and alter timing of delivery of total phosphorus to Lake Erie.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w14121853","usgsCitation":"Carter, G., Kowalski, K., and Eggleston, M., 2022, Turbidity and estimated phosphorus retention in a reconnected Lake Erie coastal wetland: Water, v. 14, no. 2, 1853, 12 p., https://doi.org/10.3390/w14121853.","productDescription":"1853, 12 p.","ipdsId":"IP-110303","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":447485,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w14121853","text":"Publisher Index Page"},{"id":435812,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71V5C3B","text":"USGS data release","linkHelpText":"Total phosphorus and water flux at a restored hydrologic connection at Ottawa National Wildlife Refuge in 2013 and 2014"},{"id":402325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Crane Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.24014663696289,\n              41.59772934193236\n            ],\n            [\n              -83.17886352539062,\n              41.59772934193236\n            ],\n            [\n              -83.17886352539062,\n              41.64764694964725\n            ],\n            [\n              -83.24014663696289,\n              41.64764694964725\n            ],\n            [\n              -83.24014663696289,\n              41.59772934193236\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Glenn 0000-0001-6630-7513","orcid":"https://orcid.org/0000-0001-6630-7513","contributorId":292490,"corporation":false,"usgs":false,"family":"Carter","given":"Glenn","email":"","affiliations":[],"preferred":false,"id":844792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":844793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eggleston, Michael 0000-0003-1068-3290","orcid":"https://orcid.org/0000-0003-1068-3290","contributorId":204833,"corporation":false,"usgs":true,"family":"Eggleston","given":"Michael","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":844794,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236280,"text":"70236280 - 2022 - Tree rings reveal unmatched 2nd century drought in the Colorado River Basin","interactions":[],"lastModifiedDate":"2022-08-31T14:13:13.360127","indexId":"70236280","displayToPublicDate":"2022-06-09T09:01:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Tree rings reveal unmatched 2nd century drought in the Colorado River Basin","docAbstract":"The ongoing 22 year drought in the Upper Colorado River Basin (UCRB) has been extremely severe, even in the context of the longest available tree-ring reconstruction of annual flow at Lees Ferry, Arizona, dating back to 762 CE. While many southwestern drought assessments have been limited to the past 1200 years, longer paleorecords of moisture variability do exist for the UCRB. Here, gridded drought-atlas data in the UCRB domain along with naturalized streamflow data from the instrumental period (1906–2021) are used in a K nearest neighbor (KNN) nonparametric algorithm to develop a streamflow reconstruction for the Lees Ferry gage starting in 1 CE. The reconstruction reveals a 2nd century drought unmatched in severity by the current drought or by well-documented medieval period droughts in the UCRB. Although data are sparse, analysis of individual long tree ring records and other paleoclimatic data also support the occurrence of an exceptional 2nd century drought.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GL098781","usgsCitation":"Gangopadhyay, S., Woodhouse, C., McCabe, G.J., Routson, C.C., and Meko, D., 2022, Tree rings reveal unmatched 2nd century drought in the Colorado River Basin: Geophysical Research Letters, v. 49, no. 11, e2022GL098781, 10 p., https://doi.org/10.1029/2022GL098781.","productDescription":"e2022GL098781, 10 p.","ipdsId":"IP-139459","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":447488,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022gl098781","text":"Publisher Index Page"},{"id":405995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.03857421875,\n              36.38591277287651\n            ],\n            [\n              -111.181640625,\n              36.58024660149866\n            ],\n            [\n              -110.25878906249999,\n              36.36822190085111\n            ],\n            [\n              -109.9072265625,\n              35.88905007936091\n            ],\n            [\n              -108.8525390625,\n              35.782170703266075\n            ],\n            [\n              -107.51220703125,\n              35.67514743608467\n            ],\n            [\n              -106.74316406249999,\n              36.56260003738545\n            ],\n            [\n              -106.34765625,\n              37.07271048132943\n            ],\n            [\n              -106.5673828125,\n              37.64903402157866\n            ],\n            [\n              -106.12792968749999,\n              38.048091067457236\n            ],\n            [\n              -106.083984375,\n              39.07890809706475\n            ],\n            [\n              -105.0732421875,\n              39.825413103424786\n            ],\n            [\n              -105.35888671875,\n              40.96330795307353\n            ],\n            [\n              -107.11669921875,\n              42.342305278572816\n            ],\n            [\n              -110.32470703125,\n              43.29320031385282\n            ],\n            [\n              -110.6982421875,\n              43.56447158721811\n            ],\n            [\n              -110.91796875,\n              41.75492216766298\n            ],\n            [\n              -111.1376953125,\n              41.393294288784865\n            ],\n            [\n              -111.4013671875,\n              41.09591205639546\n            ],\n            [\n              -111.884765625,\n              39.90973623453719\n            ],\n            [\n              -112.19238281249999,\n              38.66835610151506\n            ],\n            [\n              -112.3681640625,\n              37.21283151445594\n            ],\n            [\n              -112.39013671875,\n              36.65079252503471\n            ],\n            [\n              -112.03857421875,\n              36.38591277287651\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":850421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodhouse, Connie 0000-0003-0545-9753","orcid":"https://orcid.org/0000-0003-0545-9753","contributorId":296028,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":850422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":850423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Routson, Cody C. 0000-0001-8694-7809","orcid":"https://orcid.org/0000-0001-8694-7809","contributorId":187600,"corporation":false,"usgs":false,"family":"Routson","given":"Cody","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":850424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meko, David 0000-0002-5171-2724","orcid":"https://orcid.org/0000-0002-5171-2724","contributorId":296029,"corporation":false,"usgs":false,"family":"Meko","given":"David","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":850425,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70232174,"text":"70232174 - 2022 - Interannual variation in climate contributes to contingency in post-fire restoration outcomes in seeded sagebrush steppe","interactions":[],"lastModifiedDate":"2022-07-08T13:48:50.105967","indexId":"70232174","displayToPublicDate":"2022-06-09T08:19:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Interannual variation in climate contributes to contingency in post-fire restoration outcomes in seeded sagebrush steppe","docAbstract":"<p>Interannual variation, especially weather, is an often-cited reason for restoration “failures”; yet its importance is difficult to experimentally isolate across broad spatiotemporal extents, due to correlations between weather and site characteristics. We examined post-fire treatments within sagebrush-steppe ecosystems to ask: (1) Is weather following seeding efforts a primary reason why restoration outcomes depart from predictions? and (2) Does the management-relevance of weather differ across space and with time since treatment? Our analysis quantified range-wide patterns of sagebrush (<i>Artemisia</i><span>&nbsp;</span>spp.) recovery, by integrating long-term records of restoration and annual vegetation cover estimates from satellite imagery following thousands of post-fire seeding treatments from 1984 to 2005. Across the Great Basin, sagebrush growth increased in wetter, cooler springs; however, the importance of spring weather varied with sites' long-term climates, suggesting differing ecophysiological limitations across sagebrush's range. Incorporation of spring weather, including from the “planting year,” improved predictions of sagebrush recovery, but these advances were small compared to contributions of time-invariant site characteristics. Given extreme weather conditions threatening this ecosystem, explicit consideration of weather could improve the allocation of management resources, such as by identifying areas requiring repeated treatments; but improved forecasts of shifting mean conditions with climate change may more significantly aid the prediction of sagebrush recovery.</p>","language":"English","publisher":"Wiley","doi":"10.1111/csp2.12737","usgsCitation":"Simler-Williamson, A.B., Applestein, C., and Germino, M., 2022, Interannual variation in climate contributes to contingency in post-fire restoration outcomes in seeded sagebrush steppe: Conservation Science and Practice, v. 4, no. 7, e12737, 15 p., https://doi.org/10.1111/csp2.12737.","productDescription":"e12737, 15 p.","ipdsId":"IP-123042","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":447490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.12737","text":"Publisher Index Page"},{"id":401971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Colorado, Idaho, Nevada, Oregon, Utah, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.3984375,\n              38.65119833229951\n            ],\n            [\n              -104.0625,\n              38.65119833229951\n            ],\n            [\n              -104.0625,\n              44.213709909702054\n            ],\n            [\n              -123.3984375,\n              44.213709909702054\n            ],\n            [\n              -123.3984375,\n              38.65119833229951\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Simler-Williamson, Allison Barbara 0000-0003-1358-1919","orcid":"https://orcid.org/0000-0003-1358-1919","contributorId":257068,"corporation":false,"usgs":true,"family":"Simler-Williamson","given":"Allison","email":"","middleInitial":"Barbara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":205748,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew","contributorId":292390,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844441,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70232149,"text":"fs20223041 - 2022 - Montana and Landsat","interactions":[],"lastModifiedDate":"2022-09-27T12:06:36.631689","indexId":"fs20223041","displayToPublicDate":"2022-06-08T14:59:37","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":"2022-3041","displayTitle":"Montana and Landsat","title":"Montana and Landsat","docAbstract":"<p>The landscapes beneath Montana’s big sky are as breathtaking as the State’s nickname would suggest. Visitors to the 41st State's \"Big Sky Country\" can take in the stunning icy hues of aquamarine at Glacier National Park; explore the northern swaths of Yellowstone National Park; or hike, bike, or boat through Bighorn Canyon National Recreation Area, and those are just the National parks.</p><p>Montana is the fourth-largest State by land area, with miles upon miles of forests, rolling prairie rangelands, croplands, badlands, and mountains, from which flow a sizable part of the Nation’s water supply. The headwaters of the Missouri River, which covers 2,341 miles before merging with the Mississippi River, are located in Three Forks, Montana. On the opposite side of the Continental Divide, the Kootenai, Clark Fork, Blackfoot, Bitterroot, and Flathead Rivers flow across Montana and into the Columbia River, which ultimately empties into the Pacific Ocean.</p><p>The Treasure State’s cherished landscapes face many threats, however: fire-fueling invasive grasses, increasing temperatures caused by climate change, shifting land use patterns, water supply contractions, and more. The U.S. Geological Survey Landsat satellite program’s imagery can improve Montanans’ understanding of land change and offer valuable insight for the ranchers, farmers, land and resource managers, firefighters, and urban planners.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223041","usgsCitation":"U.S. Geological Survey, 2022, Montana and Landsat: U.S. Geological Survey Fact Sheet 2022–3041, 2 p., https://doi.org/10.3133/fs20223041.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-141519","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":401926,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223041/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":401924,"rank":4,"type":{"id":34,"text":"Image 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 \"}}]}","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/programs/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/programs/national-land-imaging-program\">National Land Imaging Program</a><br>U.S. Geological Survey <br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Managing Rangeland Health</li><li>Monitoring Mountain Snow and Ice</li><li>Tracking Water Use from Space</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-06-08","noUsgsAuthors":false,"publicationDate":"2022-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128069,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":844343,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70232215,"text":"70232215 - 2022 - The role of pH up-regulation in response to nutrient-enriched, low-pH groundwater discharge","interactions":[],"lastModifiedDate":"2022-06-16T13:13:28.120222","indexId":"70232215","displayToPublicDate":"2022-06-08T08:58:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The role of pH up-regulation in response to nutrient-enriched, low-pH groundwater discharge","docAbstract":"<p><span>Coral reefs and their ecosystems are threatened by both global stressors, including increasing sea-surface temperatures and&nbsp;ocean acidification&nbsp;(OA), and local stressors such as land-based sources of pollution that can magnify the effects of OA. Corals can physiologically control the chemistry of their internal calcifying fluids (CF) and can thereby regulate their calcification process. Specifically, increasing&nbsp;aragonite&nbsp;saturation&nbsp;state in the CF (Ω</span><sub>CF</sub><span>) may allow corals to calcify even under external low saturation conditions. Questions remain regarding the physiological processes that govern the CF chemistry and how they change in response to multiple stressors. To address this knowledge gap, the&nbsp;boron&nbsp;δ</span><sup>11</sup><span>B and B/Ca were analyzed in tropical corals,&nbsp;</span><i>Porites lobata,</i><span>&nbsp;collected at submarine groundwater seeps impacted by the release of treated&nbsp;wastewater&nbsp;in west Maui, Hawai'i, to document the interactions between high nutrient / low pH seep water on CF carbonate chemistry. Results show substantial up-regulation of pH and&nbsp;dissolved inorganic carbon&nbsp;(DIC) with respect to&nbsp;seawater&nbsp;in&nbsp;</span><i>P. lobata</i><span>&nbsp;corals collected from within the wastewater impacted area at Kahekili Beach Park compared to the control site at Olowalu Beach. The Ω</span><sub>CF</sub><span>&nbsp;was 9 to 10 times higher than ambient seawater Ω, and 13 to 26% higher than in corals from the control site and from values previously observed in tropical&nbsp;</span><i>Porites</i><span>&nbsp;spp. corals. Such elevated up-regulation suggests that corals exposed to nutrient-enriched, low pH effluent sustain CF supersaturated with respect to aragonite, possibly as an internal coping mechanism to combat multiple stressors from land-based sources of pollution. This elevated up-regulation has implications to coral vulnerability to future climate- and ocean-change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2022.104134","usgsCitation":"Prouty, N.G., Wall, M., Fietzke, J., Cheriton, O.M., Anagnostou, E., Phillip, B., and Paytan, A., 2022, The role of pH up-regulation in response to nutrient-enriched, low-pH groundwater discharge: Marine Chemistry, v. 243, 104134, 11 p., https://doi.org/10.1016/j.marchem.2022.104134.","productDescription":"104134, 11 p.","ipdsId":"IP-136166","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":447491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marchem.2022.104134","text":"Publisher Index Page"},{"id":402149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kahekili Beach Park, Maui","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.7,\n              20.929\n            ],\n            [\n              -156.68,\n              20.929\n            ],\n            [\n              -156.68,\n              20.95\n            ],\n            [\n              -156.7,\n              20.95\n            ],\n            [\n              -156.7,\n              20.929\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"243","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":844679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wall, Marlene","contributorId":292468,"corporation":false,"usgs":false,"family":"Wall","given":"Marlene","email":"","affiliations":[{"id":62913,"text":"2GEOMAR Helmholtz Centre for Ocean Research","active":true,"usgs":false}],"preferred":false,"id":844680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fietzke, J.","contributorId":41656,"corporation":false,"usgs":true,"family":"Fietzke","given":"J.","affiliations":[],"preferred":false,"id":844681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":844682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anagnostou, Eleni 0000-0002-7200-4794","orcid":"https://orcid.org/0000-0002-7200-4794","contributorId":292469,"corporation":false,"usgs":false,"family":"Anagnostou","given":"Eleni","email":"","affiliations":[{"id":13697,"text":"GEOMAR Helmholtz Centre for Ocean Research","active":true,"usgs":false}],"preferred":false,"id":844683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillip, Brian","contributorId":292470,"corporation":false,"usgs":false,"family":"Phillip","given":"Brian","email":"","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":844684,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Paytan, Adina 0000-0001-8360-4712","orcid":"https://orcid.org/0000-0001-8360-4712","contributorId":193046,"corporation":false,"usgs":false,"family":"Paytan","given":"Adina","email":"","affiliations":[],"preferred":false,"id":844685,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70231446,"text":"ofr20221031 - 2022 - Dynamic rating method for computing discharge from time-series stage data","interactions":[],"lastModifiedDate":"2026-03-27T20:08:34.586583","indexId":"ofr20221031","displayToPublicDate":"2022-06-08T08:55:54","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":"2022-1031","displayTitle":"Dynamic Rating Method for Computing Discharge from Time-Series Stage Data","title":"Dynamic rating method for computing discharge from time-series stage data","docAbstract":"<p>Ratings are used for a variety of reasons in water-resources investigations. The simplest rating relates discharge to the stage of the river. From a pure hydrodynamics perspective, all rivers and streams have some form of hysteresis in the relation between stage and discharge because of unsteady flow as a flood wave passes. Simple ratings are unable to represent hysteresis in a stage/discharge relation. A dynamic rating method is capable of capturing hysteresis owing to the variable energy slope caused by unsteady momentum and pressure.</p><p>A dynamic rating method developed to compute discharge from stage for compact channel geometry, referred to as DYNMOD, previously has been developed through a simplification of the one-dimensional Saint-Venant equations. A dynamic rating method, which accommodates compound and compact channel geometry, referred to as DYNPOUND, has been developed through a similar simplification as a part of this study. The DYNMOD and DYNPOUND methods were implemented in the Python programming language. Discharge time series computed with the dynamic rating method implementations were then compared to simulated discharge time series and discrete discharge measurements made at U.S. Geological Survey streamgage sites.</p><p>Four sets of stage and discharge time series were created using one-dimensional unsteady simulation software with compound channel geometry to compare the results of both dynamic rating methods to results from the full one-dimensional shallow water equations. Discharge time series were computed from stage time series using DYNMOD and DYNPOUND. DYNPOUND outperformed DYNMOD in all four scenarios. The minimum and maximum mean squared logarithmic error (MSLE) for the DYNMOD results were 2.75×10<sup>−2</sup> and 3.40×10<sup>−2</sup>, respectively. The minimum and maximum MSLE for the DYNPOUND results were 2.51×10<sup>−7</sup> and 1.91×10<sup>−4</sup>, respectively.</p><p>The dynamic rating methods were calibrated for six U.S. Geological Survey streamgage sites using observed discharge data collected at the sites. The calibration objective for each site was to minimize the MSLE of the discharge computed with the rating method with respect to observed discharge. For each site, the calibration included all field measurements within a selected water year. The DYNMOD method failed to compute discharge for the full calibration time series for three sites. A method fails to compute when the implementation returns a nonfinite value at a time step. Because the values computed for following time steps are dependent on the previous time step, a nonfinite value results in nonfinite values that follow. For the three sites for which DYNMOD computed the complete discharge time series, the minimum MSLE for calibration was 2.19×10<sup>−3</sup> and the maximum was 9.77×10<sup>−3</sup>. The MSLE of the DYNPOUND computed discharge calibration time series for the six sites ranged from 3.70×10<sup>−3</sup> to 1.25. For each site, an event-based time period was selected to compare the discharge time series computed with the dynamic rating methods to discrete discharge field measurements made at the streamgage sites. The DYNMOD-computed discharge time series for the three sites had an MSLE range of 2.76×10<sup>−3</sup> to 3.14×10<sup>−2</sup>. The range of MSLE for the six DYNPOUND sites was 3.64×10<sup>−3</sup> to 7.23×10<sup>−2</sup>. Although the DYNMOD method outperforms the DYNPOUND method when calibrated streamgage sites are under consideration, the DYNMOD method failed to compute a discharge time series at three of the six sites. The DYNPOUND method, therefore, was more robust than the DYNMOD method. Improvements to the implementation of the DYNPOUND method may improve the accuracy of the method.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221031","programNote":"Groundwater and Streamflow Information Program","usgsCitation":"Domanski, M., Holmes, R.R., Jr., and Heal, E.N., 2022, Dynamic rating method for computing discharge from time-series stage data: U.S. Geological Survey Open-File Report 2022–1031, 48 p., https://doi.org/10.3133/ofr20221031.","productDescription":"Report: vii, 48 p.; 2 Data Releases; Dataset","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-128037","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501770,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113161.htm","linkFileType":{"id":5,"text":"html"}},{"id":400457,"rank":5,"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":400459,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YUV9DG","text":"USGS data release","linkHelpText":"Dynamic stage to discharge rating model archive"},{"id":400458,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P955QRPQ","text":"USGS data release","linkHelpText":"Dynamic rating method for computing discharge from time series stage data—Site datasets"},{"id":400454,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1031/ofr20221031.XML"},{"id":400455,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1031/images"},{"id":400453,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1031/ofr20221031.pdf","text":"Report","size":"2.85 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1031"},{"id":400452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1031/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a> <br>U.S. Geological Survey<br>405 North Goodwin <br>Urbana, IL 61801</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Dynamic Rating Method Theory</li><li>Solution Method</li><li>Evaluation Using Model-Generated Test Scenarios</li><li>Evaluation Using Field Data</li><li>Dynamic Rating Application Recommendations</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-06-08","noUsgsAuthors":false,"publicationDate":"2022-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Domanski, Marian M. 0000-0002-0468-314X mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":156293,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":842629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heal, Elizabeth N. 0000-0002-1196-4708","orcid":"https://orcid.org/0000-0002-1196-4708","contributorId":265803,"corporation":false,"usgs":true,"family":"Heal","given":"Elizabeth N.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842630,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263077,"text":"70263077 - 2022 - Biodiversity underpins fisheries resilience to exploitation in the Amazon River basin.","interactions":[],"lastModifiedDate":"2025-01-29T15:10:32.880127","indexId":"70263077","displayToPublicDate":"2022-06-08T08:55:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18342,"text":"Proceedings of the Royal Society B, Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Biodiversity underpins fisheries resilience to exploitation in the Amazon River basin.","docAbstract":"<p><span>Inland fisheries feed greater than 150 million people globally, yet their status is rarely assessed due to their socio-ecological complexity and pervasive lack of data. Here, we leverage an unprecedented landings time series from the Amazon, Earth's largest river basin, together with theoretical food web models to examine (i) taxonomic and trait-based signatures of exploitation in inland fish landings and (ii) implications of changing biodiversity for fisheries resilience. In both landings time series and theory, we find that multi-species exploitation of diverse inland fisheries results in a hump-shaped landings evenness curve. Along this trajectory, abundant and large species are sequentially replaced with faster growing and smaller species. Further theoretical analysis indicates that harvests can be maintained for a period of time but that continued biodiversity depletion reduces the pool of compensating species and consequently diminishes fisheries resilience. Critically, higher fisheries biodiversity can delay fishery collapse. Although existing landings data provide an incomplete snapshot of long-term dynamics, our results suggest that multi-species exploitation is affecting freshwater biodiversity and eroding fisheries resilience in the Amazon. More broadly, we conclude that trends in landings evenness could characterize multi-species fisheries development and aid in assessing their sustainability.</span></p>","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2022.0726","usgsCitation":"Heilpern, S., Sethi, S., Barthem, R., da Silva Batista, V., Doria, C.R., Duponchelle, F., Garcia Vasquez, A., Goulding, M., Isaac, V., Naeem, S., and Flecker, A., 2022, Biodiversity underpins fisheries resilience to exploitation in the Amazon River basin.: Proceedings of the Royal Society B, Biological Sciences, v. 289, no. 1976, 20220726, 10 p., https://doi.org/10.1098/rspb.2022.0726.","productDescription":"20220726, 10 p.","ipdsId":"IP-117938","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487601,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://archimer.ifremer.fr/doc/00776/88847/","text":"External Repository"},{"id":481448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil, Peru","otherGeospatial":"Amazon River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -63.313226573988004,\n              2.0612813356318185\n            ],\n            [\n              -69.56203866644994,\n              -0.014204318512454961\n            ],\n            [\n              -75.92570575301421,\n              -4.378615486744579\n            ],\n            [\n              -74.45715869209243,\n              -11.37283711742269\n            ],\n            [\n              -68.58854564799162,\n              -14.624571352339885\n            ],\n            [\n              -56.626853677433644,\n              -11.79116453472244\n            ],\n 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ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":925456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barthem, Ronaldo B.","contributorId":350167,"corporation":false,"usgs":false,"family":"Barthem","given":"Ronaldo B.","affiliations":[{"id":83689,"text":"Museu Paraense Emilio Goeldi","active":true,"usgs":false}],"preferred":false,"id":925458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"da Silva Batista, Vandick","contributorId":350168,"corporation":false,"usgs":false,"family":"da Silva Batista","given":"Vandick","affiliations":[{"id":83690,"text":"Universidade Federal de Alagoas","active":true,"usgs":false}],"preferred":false,"id":925459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doria, Carolina RC","contributorId":218602,"corporation":false,"usgs":false,"family":"Doria","given":"Carolina","email":"","middleInitial":"RC","affiliations":[],"preferred":false,"id":925460,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duponchelle, Fabrice","contributorId":350172,"corporation":false,"usgs":false,"family":"Duponchelle","given":"Fabrice","affiliations":[{"id":83694,"text":"Evolution et Domestication de l’Ichtyofaune Amazonienne","active":true,"usgs":false}],"preferred":false,"id":925461,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garcia Vasquez, Aurea","contributorId":350173,"corporation":false,"usgs":false,"family":"Garcia Vasquez","given":"Aurea","affiliations":[{"id":83694,"text":"Evolution et Domestication de l’Ichtyofaune Amazonienne","active":true,"usgs":false}],"preferred":false,"id":925462,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goulding, Michael","contributorId":350174,"corporation":false,"usgs":false,"family":"Goulding","given":"Michael","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":925463,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Isaac, Victoria","contributorId":350175,"corporation":false,"usgs":false,"family":"Isaac","given":"Victoria","affiliations":[{"id":83695,"text":"Núcleo de Ecologia Aquática e Pesca da Amazônia","active":true,"usgs":false}],"preferred":false,"id":925464,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Naeem, Shahid","contributorId":287018,"corporation":false,"usgs":false,"family":"Naeem","given":"Shahid","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":925527,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Flecker, Alexander S.","contributorId":350176,"corporation":false,"usgs":false,"family":"Flecker","given":"Alexander S.","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":925465,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70232155,"text":"70232155 - 2022 - Distinct pathways to stakeholder use versus academic contribution in climate adaptation research","interactions":[],"lastModifiedDate":"2022-09-01T14:38:29.691646","indexId":"70232155","displayToPublicDate":"2022-06-08T08:47:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Distinct pathways to stakeholder use versus academic contribution in climate adaptation research","docAbstract":"<p><span>Challenges facing societies around the globe as they plan for and adapt to climate change are so large that usable, research-driven recommendations to inform management actions are urgently needed. We sought to understand factors that influence the variation of academic contribution and use of collaborative research on climate change. We surveyed researchers (</span><i>n</i><span>&nbsp;=&nbsp;31), program-leaders (</span><i>n</i><span>&nbsp;=&nbsp;5), and stakeholders (</span><i>n</i><span>&nbsp;=&nbsp;81) from projects supported by a federally funded network across the United States. Our results suggest that peer-reviewed publications do not lead to use, but frequency of meetings with stakeholders significantly increased use. Overall, the factors needed for projects to have high degrees of academic contributions are distinct from those needed to be useful to stakeholders. Furthermore, leadership perceptions of use of projects were significantly different from users. Our quantitative results can inform future requests for proposals and better enable researchers using collaborative approaches to conduct science that is more often used by stakeholders.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/conl.12892","usgsCitation":"Hyman, A.A., Courtney, S., McNeal, K.S., Bialic-Murphy, L., Furiness, C., Eaton, M.J., and Armsworth, P., 2022, Distinct pathways to stakeholder use versus academic contribution in climate adaptation research: Conservation Letters, v. 15, no. 4, e12892, 10 p., https://doi.org/10.1111/conl.12892.","productDescription":"e12892, 10 p.","ipdsId":"IP-137818","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":447494,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/conl.12892","text":"External Repository"},{"id":401982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Hyman, Amanda A","contributorId":292345,"corporation":false,"usgs":false,"family":"Hyman","given":"Amanda","email":"","middleInitial":"A","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":844369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Courtney, Stephanie","contributorId":292346,"corporation":false,"usgs":false,"family":"Courtney","given":"Stephanie","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":844370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNeal, Karen S","contributorId":292348,"corporation":false,"usgs":false,"family":"McNeal","given":"Karen","email":"","middleInitial":"S","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":844371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bialic-Murphy, Lalasia 0000-0001-6046-8316","orcid":"https://orcid.org/0000-0001-6046-8316","contributorId":248274,"corporation":false,"usgs":false,"family":"Bialic-Murphy","given":"Lalasia","email":"","affiliations":[{"id":49844,"text":"U Tennessee","active":true,"usgs":false}],"preferred":false,"id":844372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furiness, Cari","contributorId":292350,"corporation":false,"usgs":false,"family":"Furiness","given":"Cari","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":844373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":844374,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Armsworth, Paul A","contributorId":292352,"corporation":false,"usgs":false,"family":"Armsworth","given":"Paul A","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":844375,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70232327,"text":"70232327 - 2022 - Water storage decisions and consumptive use may constrain ecosystem management under severe sustained drought","interactions":[],"lastModifiedDate":"2022-10-17T15:32:14.964305","indexId":"70232327","displayToPublicDate":"2022-06-08T07:45:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Water storage decisions and consumptive use may constrain ecosystem management under severe sustained drought","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Drought has impacted the Colorado River basin for the past 20 years and is predicted to continue. In response, decisions about how much water should be stored in large reservoirs and how much water can be consumptively used will be necessary. These decisions have the potential to limit riverine ecosystem management options through the effect water-supply decisions have on reservoir elevations. We used projected hydrology and river temperatures to compare the outcome of combinations of water storage scenarios and consumptive use limits on metrics associated with ecosystem management of the Colorado River in Grand Canyon. Ecosystem management metrics included the ability to implement designer flows, temperature suitability for fishes, and fragmentation. We compared current water management operations to prioritizing storage in either Lake Mead or Lake Powell combined with three levels of consumptive use. Projected reservoir levels limited environmental flow delivery and increased fragmentation regardless of where water was stored if consumptive use was not limited. Warmer river temperatures associated with low reservoir levels are likely, creating suitable conditions for non-native species of concern, such as smallmouth bass. Water storage decisions provided variability and management flexibility, but water storage was less important when less water was available, highlighting the importance of keeping water in the system to provide flexibility for achieving ecosystem goals.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13020","usgsCitation":"Bruckerhoff, L.A., Wheeler, K., Dibble, K.L., Mihalevich, B., Nielson, B., Wang, J., Yackulic, C., and Schmidt, J., 2022, Water storage decisions and consumptive use may constrain ecosystem management under severe sustained drought: Journal of the American Water Resources Association, v. 58, no. 5, p. 654-672, https://doi.org/10.1111/1752-1688.13020.","productDescription":"19 p.","startPage":"654","endPage":"672","ipdsId":"IP-128731","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":447497,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://ora.ox.ac.uk/objects/uuid:d17e54d2-eb64-4f2e-b413-c97cb4dcdefb","text":"External Repository"},{"id":402592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.9501953125,\n              36.24427318493909\n            ],\n            [\n              -109.1162109375,\n              36.24427318493909\n            ],\n            [\n              -109.1162109375,\n              37.96152331396614\n            ],\n            [\n              -113.9501953125,\n              37.96152331396614\n            ],\n            [\n              -113.9501953125,\n              36.24427318493909\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Bruckerhoff, Lindsey Ann 0000-0002-9523-4808","orcid":"https://orcid.org/0000-0002-9523-4808","contributorId":292594,"corporation":false,"usgs":true,"family":"Bruckerhoff","given":"Lindsey","email":"","middleInitial":"Ann","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":845259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wheeler, Kevin","contributorId":292596,"corporation":false,"usgs":false,"family":"Wheeler","given":"Kevin","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":845260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dibble, Kimberly L. 0000-0003-0799-4477 kdibble@usgs.gov","orcid":"https://orcid.org/0000-0003-0799-4477","contributorId":5174,"corporation":false,"usgs":true,"family":"Dibble","given":"Kimberly","email":"kdibble@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mihalevich, B.A.","contributorId":292598,"corporation":false,"usgs":false,"family":"Mihalevich","given":"B.A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":845262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nielson, B.T.","contributorId":292600,"corporation":false,"usgs":false,"family":"Nielson","given":"B.T.","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":845263,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, J.","contributorId":173213,"corporation":false,"usgs":false,"family":"Wang","given":"J.","affiliations":[],"preferred":false,"id":845264,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845265,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmidt, J.C.","contributorId":292603,"corporation":false,"usgs":false,"family":"Schmidt","given":"J.C.","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":845266,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70232190,"text":"70232190 - 2022 - Dissolved organic matter within oil and gas associated wastewaters from U.S. unconventional petroleum plays: Comparisons and consequences for disposal and reuse","interactions":[],"lastModifiedDate":"2022-06-10T12:00:56.942391","indexId":"70232190","displayToPublicDate":"2022-06-08T06:53:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved organic matter within oil and gas associated wastewaters from U.S. unconventional petroleum plays: Comparisons and consequences for disposal and reuse","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0030\"><span>Wastewater generated during petroleum extraction (produced water) may contain high concentrations of dissolved organics due to their intimate association with organic-rich source rocks, expelled petroleum, and organic additives to fluids used for hydraulic fracturing of unconventional (e.g., shale) reservoirs. Dissolved organic matter (DOM) within produced water represents a challenge for treatment prior to beneficial reuse. High&nbsp;salinities&nbsp;characteristic of produced water, often 10× greater than seawater, coupled to the complex DOM ensemble create analytical obstacles with typical methods. Excitation-emission matrix&nbsp;</span>spectroscopy<span>&nbsp;(EEMS) can rapidly characterize the fluorescent component of DOM with little impact from matrix effects. We applied EEMS to evaluate DOM composition in 18 produced water samples from six North American unconventional petroleum plays. Represented reservoirs include the Eagle Ford Shale (Gulf Coast Basin), Wolfcamp/Cline Shales (Permian Basin), Marcellus Shale and Utica/Point Pleasant (Appalachian Basin), Niobrara Chalk (Denver-Julesburg Basin), and the Bakken Formation (Williston Basin). Results indicate that the relative chromophoric DOM composition in unconventional produced water may distinguish different&nbsp;lithologies,&nbsp;thermal maturity&nbsp;of resource types (e.g., heavy oil vs. dry gas), and fracturing fluid compositions, but is generally insensitive to salinity and DOM concentration. These results are discussed with perspective toward DOM influence on geochemical processes and the potential for targeted organic compound treatment for the reuse of produced water.</span></p></div></div><div id=\"ab0010\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.156331","usgsCitation":"McDevitt, B., Jubb, A., Varonka, M., Blondes, M., Engle, M.A., Gallegos, T., and Shelton, J., 2022, Dissolved organic matter within oil and gas associated wastewaters from U.S. unconventional petroleum plays: Comparisons and consequences for disposal and reuse: Science of the Total Environment, v. 838, no. 3, 156331, 10 p., https://doi.org/10.1016/j.scitotenv.2022.156331.","productDescription":"156331, 10 p.","ipdsId":"IP-133441","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science 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0000-0001-8390-0028","orcid":"https://orcid.org/0000-0001-8390-0028","contributorId":291246,"corporation":false,"usgs":true,"family":"McDevitt","given":"Bonnie","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":844515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":844516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Varonka, Matthew S. 0000-0003-3620-5262","orcid":"https://orcid.org/0000-0003-3620-5262","contributorId":203231,"corporation":false,"usgs":true,"family":"Varonka","given":"Matthew S.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":844518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engle, Mark A 0000-0001-5258-7374","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":228981,"corporation":false,"usgs":false,"family":"Engle","given":"Mark","email":"","middleInitial":"A","affiliations":[{"id":41535,"text":"The University of Texas at El Paso, Department of Geological Sciences, El Paso, TX 79968","active":true,"usgs":false}],"preferred":false,"id":844519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallegos, Tanya J. 0000-0003-3350-6473","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":206859,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":844520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shelton, Jenna L. 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":5025,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna L.","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":844521,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70232111,"text":"ofr20221051 - 2022 - Assessment of mercury in sediments and waters of Grubers Grove Bay, Wisconsin","interactions":[],"lastModifiedDate":"2026-03-27T20:22:54.13031","indexId":"ofr20221051","displayToPublicDate":"2022-06-07T15:08:34","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":"2022-1051","displayTitle":"Assessment of Mercury in Sediments and Waters of Grubers Grove Bay, Wisconsin","title":"Assessment of mercury in sediments and waters of Grubers Grove Bay, Wisconsin","docAbstract":"<p>Mercury is a global contaminant that can be detrimental to wildlife and human health. Anthropogenic emissions and point sources are primarily responsible for elevated mercury concentrations in sediments and waters. Mercury can physically move and chemically transform in the environment, resulting in biomagnification of mercury, in the form of methylmercury, in the food web and causing elevated mercury concentrations in upper trophic levels. The ability to measure total mercury concentrations in the environment has existed for several decades and makes it possible to detect hotspots that might exist because of ongoing or previous anthropogenic activity. However, recent (within the past 15 years) developments in mass spectrometry have made it possible to complete low level stable isotope analysis allowing for the determination of mercury sources—natural and anthropogenic—in the environment through “fingerprinting.” Grubers Grove Bay in Lake Wisconsin, the focus area of this study, was determined to have elevated mercury levels even after multiple remediation efforts, resulting in its listing on the Federal list of impaired waters pursuant to the Clean Water Act. Adjacent to the bay is the former Badger Army Ammunition Plant, which manufactured ammunition for the U.S. Army during the early and middle 20th century, after which it was put on standby before being fully decommissioned. This study assesses mercury concentrations in the sediments and suspended particulate matter of Grubers Grove Bay, Wiegands Bay, and upstream sites, and in adjacent soils on the former Badger Army Ammunition Plant site. This study confirmed that mercury contamination exists in the sediments of Grubers Grove Bay even after dredging attempts by the U.S. Army. Additionally, using isotope ratios and a two-endmember mixing model, it was determined that soil from within Badger Army Ammunition Plant’s former site contributed a substantial amount of mercury to the bay. This result was supported by an observed gradient of high to low mercury concentrations from the innermost (nearest Badger Army Ammunition Plant) to the outermost (farthest from Badger Army Ammunition Plant) part of the bay.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221051","collaboration":"Prepared in cooperation with U.S. Army Environmental Command","usgsCitation":"Routhier, E.J., Janssen, S.E., Tate, M.T., Ogorek, J.M., DeWild, J.F., and Krabbenhoft, D.P., 2022, Assessment of mercury in sediments and waters of Grubers Grove Bay, Wisconsin: U.S. Geological Survey Open-File Report 2022–1051, 20 p., https://doi.org/10.3133/ofr20221051.","productDescription":"Report: vii, 20 p.; Data release","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-133343","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501779,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113162.htm","linkFileType":{"id":5,"text":"html"}},{"id":401822,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P990MFHU","text":"USGS data release","linkHelpText":"Gruber's Grove Bay mercury site assessment"},{"id":401821,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1051/images"},{"id":401819,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1051/ofr20221051.pdf","text":"Report","size":"2.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1051"},{"id":401818,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1051/coverthb.jpg"},{"id":401820,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1051/ofr20221051.XML"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Grubers Grove Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.74800109863281,\n              43.32467816302811\n            ],\n            [\n              -89.64569091796874,\n              43.32467816302811\n            ],\n            [\n              -89.64569091796874,\n              43.393572674883146\n            ],\n            [\n              -89.74800109863281,\n              43.393572674883146\n            ],\n            [\n              -89.74800109863281,\n              43.32467816302811\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center\">Upper Midwest Water Science Center</a> <br>U.S. Geological Survey<br>1 Gifford Pinchot Drive <br>Madison, WI 53726</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Suspended Particulate Matter Total Mercury and Methylmercury Data</li><li>Appendix 2. Sediment and Soil Methylmercury Data</li><li>Appendix 3. Isotope Quality Assurance Results</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2022-06-07","noUsgsAuthors":false,"publicationDate":"2022-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Routhier, Evan J. 0000-0002-0147-9186","orcid":"https://orcid.org/0000-0002-0147-9186","contributorId":292294,"corporation":false,"usgs":false,"family":"Routhier","given":"Evan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":844236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":844239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844241,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70231642,"text":"fs20223010 - 2022 - Addressing stakeholder science needs for integrated drought science in the Colorado River Basin","interactions":[],"lastModifiedDate":"2026-03-24T21:12:04.081824","indexId":"fs20223010","displayToPublicDate":"2022-06-07T13:50:00","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":"2022-3010","displayTitle":"Addressing Stakeholder Science Needs for Integrated Drought Science in the Colorado River Basin","title":"Addressing stakeholder science needs for integrated drought science in the Colorado River Basin","docAbstract":"Stakeholders need scientific data, analysis, and predictions of how drought the will impact the Colorado River Basin in a format that is continuously updated, intuitive, and easily accessible. 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Box 25046, MS 911<br>Denver, CO 80225–0046</p>","tableOfContents":"<ul><li>Vision</li><li>Stakeholder Driven Science</li><li>Momentum</li><li>References Cited</li></ul>","publishedDate":"2022-06-07","noUsgsAuthors":false,"publicationDate":"2022-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"House, Sally 0000-0002-3398-4742 shouse@usgs.gov","orcid":"https://orcid.org/0000-0002-3398-4742","contributorId":151032,"corporation":false,"usgs":true,"family":"House","given":"Sally","email":"shouse@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frus, Rebecca J. 0000-0002-2435-7202","orcid":"https://orcid.org/0000-0002-2435-7202","contributorId":206261,"corporation":false,"usgs":true,"family":"Frus","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843203,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843205,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrews, William J. 0000-0003-4780-8835","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":216006,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":843204,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232110,"text":"pp1842P - 2022 - The effects of management practices on grassland birds—Burrowing Owl (<i>Athene cunicularia hypugaea</i>)","interactions":[{"subject":{"id":70232110,"text":"pp1842P - 2022 - The effects of management practices on grassland birds—Burrowing Owl (<i>Athene cunicularia hypugaea</i>)","indexId":"pp1842P","publicationYear":"2022","noYear":false,"chapter":"P","displayTitle":"The Effects of Management Practices on Grassland Birds—Burrowing Owl (<i>Athene cunicularia hypugaea</i>)","title":"The effects of management practices on grassland birds—Burrowing Owl (<i>Athene cunicularia hypugaea</i>)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2023-12-20T21:17:03.071444","indexId":"pp1842P","displayToPublicDate":"2022-06-07T12:13:03","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"P","displayTitle":"The Effects of Management Practices on Grassland Birds—Burrowing Owl (<i>Athene cunicularia hypugaea</i>)","title":"The effects of management practices on grassland birds—Burrowing Owl (<i>Athene cunicularia hypugaea</i>)","docAbstract":"<p>Keys to Burrowing Owl (<i>Athene cunicularia hypugaea</i>) management include providing areas of short, sparse vegetation and maintaining populations of prey species and of burrowing mammals to ensure availability of burrows as nest sites. In particular, the conservation of black-tailed prairie dog (<i>Cynomys ludovicianus</i>) and Richardson’s ground squirrel (<i>Urocitellus richardsonii</i>) colonies is vital to the preservation of Burrowing Owls on the Great Plains. Burrowing Owls have been reported to use habitats with less than 31 centimeters (cm) average vegetation height, 5–12 cm visual obstruction reading, 12–36 percent grass cover, 29–45 percent forb cover, 1–11 percent shrub cover, 11–58 percent bare ground, and 6–27 percent litter cover.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842P","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Rabie, P.A., Thiele, J.P., and Euliss, B.R., 2022, The effects of management practices on grassland birds—Burrowing Owl (<i>Athene cunicularia hypugaea</i>) (ver. 1.1, May 2023), chap. P <i>of</i> Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 35 p., https://doi.org/10.3133/pp1842P.","productDescription":"v, 35 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-096453","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":401788,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/p/coverthb2.jpg"},{"id":417404,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/p/pp1842p.pdf","text":"Report","size":"2.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–P"},{"id":417405,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1842/p/versionHist.txt","size":"1 kB","linkFileType":{"id":2,"text":"txt"}}],"edition":"Version 1.0: June 7, 2022; Version 1.1: May 24, 2023","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/npwrc\" data-mce-href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a> <br>U.S. Geological Survey<br>8711 37th Street Southeast <br>Jamestown, ND&nbsp;58401</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Capsule Statement</li><li>Breeding Range</li><li>Suitable Habitat</li><li>Prey Habitat</li><li>Area Requirements and Landscape Associations</li><li>Brood Parasitism by Cowbirds and Other Species</li><li>Breeding-Season Phenology and Site Fidelity</li><li>Species’ Response to Management</li><li>Management Recommendations from the Literature</li><li>References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-06-07","revisedDate":"2023-05-24","noUsgsAuthors":false,"publicationDate":"2022-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708 jshaffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":3184,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"jshaffer@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":215631,"corporation":false,"usgs":false,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":844230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":215632,"corporation":false,"usgs":false,"family":"Goldade","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":844231,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rabie, Paul A. 0000-0003-4364-2268","orcid":"https://orcid.org/0000-0003-4364-2268","contributorId":74328,"corporation":false,"usgs":true,"family":"Rabie","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":true,"id":844232,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thiele, Jason P.","contributorId":116702,"corporation":false,"usgs":true,"family":"Thiele","given":"Jason P.","affiliations":[],"preferred":false,"id":844233,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Euliss, Betty R.","contributorId":58218,"corporation":false,"usgs":true,"family":"Euliss","given":"Betty R.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":844234,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70232213,"text":"70232213 - 2022 - Surface elevation change dynamics in coastal marshes along the northwestern Gulf of Mexico: Anticipating effects of rising sea-level and intensifying hurricanes","interactions":[],"lastModifiedDate":"2023-06-09T13:39:16.77233","indexId":"70232213","displayToPublicDate":"2022-06-07T09:28:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Surface elevation change dynamics in coastal marshes along the northwestern Gulf of Mexico: Anticipating effects of rising sea-level and intensifying hurricanes","docAbstract":"<p><span>Accelerated sea-level rise and intensifying hurricanes highlight the need to better understand surface elevation change in coastal wetlands. We used the surface elevation table-marker horizon approach to measure surface elevation change in 14 coastal marshes along the northwestern Gulf of Mexico, within five National Wildlife Refuges in Texas (USA). During the 2014–2019 study period, the mean rate of surface elevation change was 1.96 ± 0.87&nbsp;mm&nbsp;yr</span><sup>−1</sup><span>&nbsp;(range: -1.57 to 8.37&nbsp;mm&nbsp;yr</span><sup>−1</sup><span>). Vertical accretion rates varied due to landscape proximity relative to sediment inputs from Hurricane Harvey. At most sites, vertical accretion offset subsurface losses due to shallow subsidence. However, net elevation gains were often lower than recent relative sea-level rise rates, and much lower than rates expected under future sea-level rise. Because these marshes are not keeping pace with recent sea-level rise, it is unlikely that they will be able to adjust to future accelerations. Climate change threatens these Texas coastal wetlands and the ecological and economic services they provide. By characterizing the status and prospective loss of coastal marshes, our study reinforces the value of identifying local and landscape-level adaptation mechanisms that can enhance the ability of coastal marshes to adapt to threats posed by climate change.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-022-01565-3","usgsCitation":"Moon, J.A., Feher, L., Lane, T.C., Vervaeke, W., Osland, M., Head, D.M., Chivoiu, B., Stewart, D., Johnson, D., Grace, J., Metzger, K.L., and Rankin, N.M., 2022, Surface elevation change dynamics in coastal marshes along the northwestern Gulf of Mexico: Anticipating effects of rising sea-level and intensifying hurricanes: Wetlands, v. 42, no. 5, 49, 17 p.; Data Release, https://doi.org/10.1007/s13157-022-01565-3.","productDescription":"49, 17 p.; Data Release","ipdsId":"IP-128980","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":402152,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417838,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.7944/P9CBFO1C"}],"country":"United States","state":"Texas","otherGeospatial":"northwestern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.81976318359375,\n              28.07440374060716\n            ],\n            [\n              -96.2677001953125,\n              28.408312587374258\n            ],\n            [\n              -95.20477294921874,\n              28.90961041665505\n            ],\n            [\n              -94.10888671875,\n              29.630771207229\n            ],\n            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A.","contributorId":171483,"corporation":false,"usgs":false,"family":"Moon","given":"Jena","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":844665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":222375,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":844666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, Tiffany C.","contributorId":265457,"corporation":false,"usgs":false,"family":"Lane","given":"Tiffany","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":844667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vervaeke, William 0000-0002-1518-5197","orcid":"https://orcid.org/0000-0002-1518-5197","contributorId":219652,"corporation":false,"usgs":true,"family":"Vervaeke","given":"William","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":844668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":222814,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":844669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Head, Douglas M.","contributorId":292467,"corporation":false,"usgs":false,"family":"Head","given":"Douglas","email":"","middleInitial":"M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":844670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chivoiu, Bogdan 0000-0002-4568-3496","orcid":"https://orcid.org/0000-0002-4568-3496","contributorId":141229,"corporation":false,"usgs":false,"family":"Chivoiu","given":"Bogdan","affiliations":[{"id":13722,"text":"University of Louisiana-Lafayette","active":true,"usgs":false}],"preferred":false,"id":844671,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stewart, David R.","contributorId":141323,"corporation":false,"usgs":false,"family":"Stewart","given":"David R.","affiliations":[],"preferred":false,"id":844672,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":205688,"corporation":false,"usgs":false,"family":"Johnson","given":"Darren","affiliations":[{"id":37106,"text":"Cherokee Nation","active":true,"usgs":false}],"preferred":false,"id":844673,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grace, James 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":220737,"corporation":false,"usgs":true,"family":"Grace","given":"James","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":844674,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":844675,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rankin, Nicole M.","contributorId":195575,"corporation":false,"usgs":false,"family":"Rankin","given":"Nicole","email":"","middleInitial":"M.","affiliations":[{"id":34318,"text":"U.S. Fish and Wildlife Service, Awendaw, South Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":844676,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70232234,"text":"70232234 - 2022 - Decadal-scale phenology and seasonal climate drivers of migratory baleen whales in a rapidly warming marine ecosystem","interactions":[],"lastModifiedDate":"2022-08-02T14:40:28.06704","indexId":"70232234","displayToPublicDate":"2022-06-07T09:04:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Decadal-scale phenology and seasonal climate drivers of migratory baleen whales in a rapidly warming marine ecosystem","docAbstract":"<p><span>Species' response to rapid climate change can be measured through shifts in timing of recurring biological events, known as phenology. The Gulf of Maine is one of the most rapidly warming regions of the ocean, and thus an ideal system to study phenological and biological responses to climate change. A better understanding of climate-induced changes in phenology is needed to effectively and adaptively manage human-wildlife conflicts. Using data from a 20+ year marine mammal observation program, we tested the hypothesis that the phenology of large whale habitat use in Cape Cod Bay has changed and is related to regional-scale shifts in the thermal onset of spring. We used a multi-season occupancy model to measure phenological shifts and evaluate trends in the date of peak habitat use for North Atlantic right (</span><i>Eubalaena glacialis</i><span>), humpback (</span><i>Megaptera novaeangliae</i><span>), and fin (</span><i>Balaenoptera physalus</i><span>) whales. The date of peak habitat use shifted by +18.1 days (0.90 days/year) for right whales and +19.1 days (0.96 days/year) for humpback whales. We then evaluated interannual variability in peak habitat use relative to thermal spring transition dates (STD), and hypothesized that right whales, as planktivorous specialist feeders, would exhibit a stronger response to thermal phenology than fin and humpback whales, which are more generalist piscivorous feeders. There was a significant negative effect of western region STD on right whale habitat use, and a significant positive effect of eastern region STD on fin whale habitat use indicating differential responses to spatial seasonal conditions. Protections for threatened and endangered whales have been designed to align with expected phenology of habitat use. Our results show that whales are becoming mismatched with static seasonal management measures through shifts in their timing of habitat use, and they suggest that effective management strategies may need to alter protections as species adapt to climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16225","usgsCitation":"Pendleton, D., Tingley, M., Ganley, L., Friedland, K., Mayo, C., Brown, M., McKenna, B., Jordaan, A., and Staudinger, M., 2022, Decadal-scale phenology and seasonal climate drivers of migratory baleen whales in a rapidly warming marine ecosystem: Global Change Biology, v. 28, no. 16, p. 4989-5005, https://doi.org/10.1111/gcb.16225.","productDescription":"17 p.","startPage":"4989","endPage":"5005","ipdsId":"IP-135322","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":447501,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gcb.16225","text":"External Repository"},{"id":402267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.6640625,\n              41.72213058512578\n            ],\n            [\n              -70.02685546875,\n              41.72213058512578\n            ],\n            [\n              -70.02685546875,\n              42.261049162113856\n            ],\n            [\n              -70.6640625,\n              42.261049162113856\n            ],\n            [\n              -70.6640625,\n              41.72213058512578\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"16","noUsgsAuthors":false,"publicationDate":"2022-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Pendleton, Dan","contributorId":292480,"corporation":false,"usgs":false,"family":"Pendleton","given":"Dan","email":"","affiliations":[{"id":48127,"text":"Anderson Cabot Center for Marine Life","active":true,"usgs":false}],"preferred":false,"id":844744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tingley, Morgan","contributorId":292481,"corporation":false,"usgs":false,"family":"Tingley","given":"Morgan","affiliations":[],"preferred":false,"id":844745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganley, Laura","contributorId":292482,"corporation":false,"usgs":false,"family":"Ganley","given":"Laura","email":"","affiliations":[],"preferred":false,"id":844746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedland, Kevin","contributorId":292483,"corporation":false,"usgs":false,"family":"Friedland","given":"Kevin","affiliations":[],"preferred":false,"id":844747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mayo, Charlie","contributorId":292484,"corporation":false,"usgs":false,"family":"Mayo","given":"Charlie","email":"","affiliations":[],"preferred":false,"id":844748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Moria","contributorId":292485,"corporation":false,"usgs":false,"family":"Brown","given":"Moria","email":"","affiliations":[],"preferred":false,"id":844749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKenna, Brigid","contributorId":292486,"corporation":false,"usgs":false,"family":"McKenna","given":"Brigid","email":"","affiliations":[],"preferred":false,"id":844750,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jordaan, Adrian","contributorId":292487,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[],"preferred":false,"id":844751,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":205971,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":844752,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70236485,"text":"70236485 - 2022 - Histochemical evidence for nitrogen‐transfer Endosymbiosis in non‐photosynthetic cells of leaves and inflorescence bracts of angiosperms","interactions":[],"lastModifiedDate":"2022-09-08T14:22:29.185644","indexId":"70236485","displayToPublicDate":"2022-06-07T09:03:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1026,"text":"Biology","active":true,"publicationSubtype":{"id":10}},"title":"Histochemical evidence for nitrogen‐transfer Endosymbiosis in non‐photosynthetic cells of leaves and inflorescence bracts of angiosperms","docAbstract":"<p><span>We used light and confocal microscopy to visualize bacteria in leaf and bract cells of more than 30 species in 18 families of seed plants. Through histochemical analysis, we detected hormones (including ethylene and nitric oxide), superoxide, and nitrogenous chemicals (including nitric oxide and nitrate) around bacteria within plant cells. Bacteria were observed in epidermal cells, various filamentous and glandular trichomes, and other non-photosynthetic cells. Most notably, bacteria showing nitrate formation based on histochemical staining were present in glandular trichomes of some dicots (e.g.,&nbsp;</span><i><span class=\"html-italic\">Humulus lupulus</span></i><span>&nbsp;and&nbsp;</span><i><span class=\"html-italic\">Cannabis sativa</span></i><span>). Glandular trichome chemistry is hypothesized to function to scavenge oxygen around bacteria and reduce oxidative damage to intracellular bacterial cells. Experiments to assess the differential absorption of isotopic nitrogen into plants suggest the assimilation of nitrogen into actively growing tissues of plants, where bacteria are most active and carbohydrates are more available. The leaf and bract cell endosymbiosis types outlined in this paper have not been previously reported and may be important in facilitating plant growth, development, oxidative stress resistance, and nutrient absorption into plants. It is unknown whether leaf and bract cell endosymbioses are significant in increasing the nitrogen content of plants. From the experiments that we conducted, it is impossible to know whether plant trichomes evolved specifically as organs for nitrogen fixation or if, instead, trichomes are structures in which bacteria easily colonize and where some casual nitrogen transfer may occur between bacteria and plant cells. It is likely that the endosymbioses seen in leaves and bracts are less efficient than those of root nodules of legumes in similar plants. However, the presence of endosymbioses that yield nitrate in plants could confer a reduced need for soil nitrogen and constitute increased nitrogen-use efficiency, even if the actual amount of nitrogen transferred to plant cells is small. More research is needed to evaluate the importance of nitrogen transfer within leaf and bract cells of plants</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/biology11060876","usgsCitation":"Micci, A., Zhang, Q., Chang, X., Kingsley, K., Park, L., Chiaranunt, P., Strickland, R., Velazquez, F., Lindert, S., Elmore, M.T., Vines, P.L., Crane, S., Irizarry, I., Kowalski, K., Johnston-Monje, D., and White, J., 2022, Histochemical evidence for nitrogen‐transfer Endosymbiosis in non‐photosynthetic cells of leaves and inflorescence bracts of angiosperms: Biology, v. 11, no. 6, 876, 31 p., https://doi.org/10.3390/biology11060876.","productDescription":"876, 31 p.","ipdsId":"IP-137317","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":447503,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/biology11060876","text":"Publisher Index Page"},{"id":435813,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H5K1MV","text":"USGS data release","linkHelpText":"Histochemical study of nitrogen-transfer endosymbiosis"},{"id":406378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Micci, April","contributorId":178393,"corporation":false,"usgs":false,"family":"Micci","given":"April","email":"","affiliations":[],"preferred":false,"id":851197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Qiuwei","contributorId":264269,"corporation":false,"usgs":false,"family":"Zhang","given":"Qiuwei","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chang, Xiaoqian","contributorId":264267,"corporation":false,"usgs":false,"family":"Chang","given":"Xiaoqian","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kingsley, Kathryn","contributorId":178391,"corporation":false,"usgs":false,"family":"Kingsley","given":"Kathryn","affiliations":[],"preferred":false,"id":851200,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Park, Linsey","contributorId":296296,"corporation":false,"usgs":false,"family":"Park","given":"Linsey","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851201,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chiaranunt, Peerapol","contributorId":264272,"corporation":false,"usgs":false,"family":"Chiaranunt","given":"Peerapol","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851202,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strickland, Raquele","contributorId":296298,"corporation":false,"usgs":false,"family":"Strickland","given":"Raquele","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851203,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Velazquez, Fernando","contributorId":264276,"corporation":false,"usgs":false,"family":"Velazquez","given":"Fernando","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851204,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lindert, Sean","contributorId":296300,"corporation":false,"usgs":false,"family":"Lindert","given":"Sean","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851205,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Elmore, Matthew T.","contributorId":206820,"corporation":false,"usgs":false,"family":"Elmore","given":"Matthew","email":"","middleInitial":"T.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851206,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vines, Philip L.","contributorId":296302,"corporation":false,"usgs":false,"family":"Vines","given":"Philip","email":"","middleInitial":"L.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851207,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Crane, Sharron","contributorId":264278,"corporation":false,"usgs":false,"family":"Crane","given":"Sharron","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851226,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Irizarry, Ivelisse","contributorId":178392,"corporation":false,"usgs":false,"family":"Irizarry","given":"Ivelisse","email":"","affiliations":[],"preferred":false,"id":851208,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"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":851209,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Johnston-Monje, David","contributorId":296304,"corporation":false,"usgs":false,"family":"Johnston-Monje","given":"David","email":"","affiliations":[{"id":61530,"text":"Universidad del Valle","active":true,"usgs":false}],"preferred":false,"id":851210,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"White, James F.","contributorId":152046,"corporation":false,"usgs":false,"family":"White","given":"James F.","affiliations":[],"preferred":false,"id":851211,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70236870,"text":"70236870 - 2022 - Can’t see the flowers for the trees: Factors driving floral abundance within early-successional forests in the central Appalachian Mountains","interactions":[],"lastModifiedDate":"2022-09-21T13:55:01.164776","indexId":"70236870","displayToPublicDate":"2022-06-07T08:49:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Can’t see the flowers for the trees: Factors driving floral abundance within early-successional forests in the central Appalachian Mountains","docAbstract":"<p><span>Silviculture can be a powerful tool for restoring and enhancing habitat for forest-dependent wildlife. In eastern North America, regenerating timber harvests support abundant wildflowers that provide essential forage for native pollinators. Factors driving floral resource availability within regenerating forests remain almost entirely unstudied. Recent efforts to increase the area of regenerating forests (&lt;10&nbsp;years old) through overstory removal harvest in the central Appalachian Mountains provide an opportunity to investigate the development of forest wildflower communities following canopy removal. We conducted 1208 surveys of blooming plants across 143 harvests, recording 1 525</span><span data-style=\"monospace\"> </span><span>245 flowers representing 220 taxa spanning 47 families. The number of flowers within recently harvested stands was negatively associated with fern and sapling cover but positively associated with grass and bramble (</span><i>Rubus</i><span>&nbsp;spp.) cover. Early in the growing season, more flowers bloomed in older regenerating stands (e.g., &gt;5&nbsp;years old), but this pattern reversed by the end of the growing season. Ultimately, our study demonstrates that the abundance of flowers available to pollinators within regenerating hardwood stands varies with factors associated with advancing succession. Recognizing the potential trade-off between woody regeneration (i.e., saplings) and pollinator forage availability may benefit forest managers who intend to provide floral resources to flower-dependent wildlife like pollinators via silviculture.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfr-2022-0014","usgsCitation":"Mathis, C.L., McNeil, D.J., Lee, M.R., Grozinger, C.M., Otto, C., and Larkin, J.L., 2022, Can’t see the flowers for the trees: Factors driving floral abundance within early-successional forests in the central Appalachian Mountains: Canadian Journal of Forest Research, v. 52, no. 7, p. 1002-1013, https://doi.org/10.1139/cjfr-2022-0014.","productDescription":"12 p.","startPage":"1002","endPage":"1013","ipdsId":"IP-137022","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":407133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"central Appalachian Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.62890625,\n              39.740986355883564\n            ],\n            [\n              -76.8218994140625,\n              39.740986355883564\n            ],\n            [\n              -74.77294921875,\n              41.1290213474951\n            ],\n            [\n              -76.17919921875,\n              41.83682786072714\n            ],\n            [\n              -79.62890625,\n              39.740986355883564\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mathis, Codey L.","contributorId":264822,"corporation":false,"usgs":false,"family":"Mathis","given":"Codey","email":"","middleInitial":"L.","affiliations":[{"id":54565,"text":"Indiana Un of Penns","active":true,"usgs":false}],"preferred":false,"id":852427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNeil, Daren J. Jr.","contributorId":264823,"corporation":false,"usgs":false,"family":"McNeil","given":"Daren","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":54566,"text":"Penn State Un","active":true,"usgs":false}],"preferred":false,"id":852428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Monica R.","contributorId":264824,"corporation":false,"usgs":false,"family":"Lee","given":"Monica","email":"","middleInitial":"R.","affiliations":[{"id":54565,"text":"Indiana Un of Penns","active":true,"usgs":false}],"preferred":false,"id":852429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grozinger, Christina M.","contributorId":214374,"corporation":false,"usgs":false,"family":"Grozinger","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":852430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":852431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larkin, Jeffery L.","contributorId":264972,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffery","email":"","middleInitial":"L.","affiliations":[{"id":16979,"text":"University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":852624,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232334,"text":"70232334 - 2022 - The Pliocene-to-present course of the Tennessee River","interactions":[],"lastModifiedDate":"2022-11-16T16:55:58.712626","indexId":"70232334","displayToPublicDate":"2022-06-07T07:24:56","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2309,"text":"Journal of Geology","active":true,"publicationSubtype":{"id":10}},"title":"The Pliocene-to-present course of the Tennessee River","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>The Tennessee River, a primary drainage of the southern Appalachians and significant sediment source for the Gulf of Mexico, is generally considered to be the product of captures that rerouted the river from a more direct gulfward course. Sedimentary and genetic evidence indicates that a paleo-Tennessee flowed into the Mobile Basin through the late Miocene, although alternate models propose other redirections of the river. We constrain the river course’s age by dating terraces near Pickwick, Tennessee, with cosmogenic<span>&nbsp;</span><sup>26</sup>Al/<sup>10</sup>Be isochron burial dating. We find that the river’s present path dates to at least the early Pliocene.</p></div></div>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/719951","usgsCitation":"Odom, W.E., and Granger, D.E., 2022, The Pliocene-to-present course of the Tennessee River: Journal of Geology, v. 130, no. 4, p. 325-333, https://doi.org/10.1086/719951.","productDescription":"9 p.","startPage":"325","endPage":"333","ipdsId":"IP-134226","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":402589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"130","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Odom, William E. 0000-0001-8577-5056","orcid":"https://orcid.org/0000-0001-8577-5056","contributorId":292616,"corporation":false,"usgs":true,"family":"Odom","given":"William","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":845280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granger, Darryl E.","contributorId":191610,"corporation":false,"usgs":false,"family":"Granger","given":"Darryl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":845281,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70236869,"text":"70236869 - 2022 - Grassy–herbaceous land moderates regional climate effects on honey bee colonies in the Northcentral US","interactions":[],"lastModifiedDate":"2022-09-21T14:04:20.834365","indexId":"70236869","displayToPublicDate":"2022-06-07T07:19:41","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":"Grassy–herbaceous land moderates regional climate effects on honey bee colonies in the Northcentral US","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p><span>The lack of seasonally sustained floral resources (i.e. pollen and nectar) is considered a primary global threat to pollinator health. However, the ability to predict the abundance of flowering resources for pollinators based upon climate, weather, and land cover is difficult due to insufficient monitoring over adequate spatial and temporal scales. Here we use spatiotemporally distributed honey bee hive scales that continuously measure hive weights as a standardized method to assess nectar intake. We analyze late summer colony weight gain as the response variable in a random forest regression model to determine the importance of climate, weather, and land cover on honey bee colony productivity. Our random forest model predicted resource acquisition by honey bee colonies with 71% accuracy, highlighting the detrimental effects of warm, wet regions in the Northcentral United States on nectar intake, as well as the detrimental effect of years with high growing degree day accumulation. Our model also predicted that grassy–herbaceous natural land had a positive effect on the summer nectar flow and that large areas of natural grassy–herbaceous land around apiaries can moderate the detrimental effects of warm, wet climates. These patterns characterize multi-scale ecological processes that constrain the quantity and quality of pollinator nutritional resources. That is, broad climate conditions constrain regional floral communities, while land use and weather act to further modify the quantity and quality of pollinator nutritional resources. Observing such broad-scale trends demonstrates the potential for utilizing hive scales to monitor the effects of climate change on landscape-level floral resources for pollinators. The interaction of climate and land use also present an opportunity to manage for climate-resilient landscapes that support pollinators through abundant floral resources under climate change.</span></p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac7063","usgsCitation":"Quinlan, G., Sponsler, D.B., Gaines-Day, H., McMinn-Sauder, H., Otto, C., Smart, A., Colin, T., Gratton, C., Isaacs, R., Johnson, R., Milbrath, M.O., and Grozinger, C.M., 2022, Grassy–herbaceous land moderates regional climate effects on honey bee colonies in the Northcentral US: Environmental Research Letters, v. 17, 064036, 11 p., https://doi.org/10.1088/1748-9326/ac7063.","productDescription":"064036, 11 p.","ipdsId":"IP-139777","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":447509,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac7063","text":"Publisher Index Page"},{"id":407134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, North Dakota, Ohio, Pennsylvania, South Dakota, 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Wisconsin","active":true,"usgs":false}],"preferred":false,"id":852422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMinn-Sauder, Harper","contributorId":296755,"corporation":false,"usgs":false,"family":"McMinn-Sauder","given":"Harper","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":852423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":852424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smart, 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University","active":true,"usgs":false}],"preferred":false,"id":852634,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Reed","contributorId":296882,"corporation":false,"usgs":false,"family":"Johnson","given":"Reed","email":"","affiliations":[],"preferred":false,"id":852635,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Milbrath, Meghan O.","contributorId":296883,"corporation":false,"usgs":false,"family":"Milbrath","given":"Meghan","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":852636,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Grozinger, Christina M.","contributorId":214374,"corporation":false,"usgs":false,"family":"Grozinger","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":852426,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70232145,"text":"70232145 - 2022 - Rub tree use and selection by American black bears and grizzly bears in northern Yellowstone National Park","interactions":[],"lastModifiedDate":"2022-06-08T11:47:45.607639","indexId":"70232145","displayToPublicDate":"2022-06-07T06:45:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Rub tree use and selection by American black bears and grizzly bears in northern Yellowstone National Park","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Several of the world's bear species exhibit tree-rubbing behavior, which is thought to be a form of scent-marking communication. Many aspects of this behavior remain unexplored, including differences in rub tree selection between sympatric bear species. We compiled rub tree data collected on Yellowstone National Park's Northern Range (USA) and compared rub tree selection of sympatric American black bears (<i>Ursus americanus</i>) and grizzly bears (<i>U. arctos</i>) at local and landscape scales. During 2017 and 2018, we identified 217 rub trees and detected black bears at 117 rub trees and grizzly bears at 18 rub trees, based on genetic analysis of collected hair samples. Rub trees generally were located in areas with gentle slopes and close to existing animal trails. Trees selected by black bears were typically in forested areas, whereas trees selected by grizzly bears were in forested and more open areas. Use of rub trees varied seasonally and between sexes for black bears, but seasonal data were inconclusive for grizzly bears. Black bears showed preferences for certain tree species for rubbing, but we did not find evidence that rub tree selection by grizzly bears differed among tree species. Both bear species selected trees that lacked branches on the lower portions of tree trunks and the maximum rub height was consistent with the body length of the bear species that used the tree. Although the sample size for grizzly bears was small, identifying the species and sex of bears based on genetic analysis enhanced interpretation of rub tree use and selection by bears. Scent-marking by black bears and grizzly bears on similar rub objects in well-traversed areas likely serves to enhance communication within and between the 2 species.</p></div></div>","language":"English","publisher":"International Association for Bear Research and Management","doi":"10.2192/URSUS-D-21-00009.3","usgsCitation":"Bowersock, N.R., Okada, H., Litt, A.R., Gunther, K.A., and van Manen, F.T., 2022, Rub tree use and selection by American black bears and grizzly bears in northern Yellowstone National Park: Ursus, v. 2022, p. 1-12, https://doi.org/10.2192/URSUS-D-21-00009.3.","productDescription":"33e7, 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-130179","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":447512,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2192/ursus-d-21-00009.3","text":"Publisher Index Page"},{"id":401912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.236572265625,\n              44.28453670601888\n            ],\n            [\n              -109.10522460937499,\n              44.28453670601888\n            ],\n            [\n              -109.10522460937499,\n              45.11230010229608\n            ],\n            [\n              -111.236572265625,\n              45.11230010229608\n            ],\n            [\n              -111.236572265625,\n              44.28453670601888\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2022","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bowersock, Nathaniel R.","contributorId":268804,"corporation":false,"usgs":false,"family":"Bowersock","given":"Nathaniel","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":844334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Okada, H.","contributorId":292338,"corporation":false,"usgs":false,"family":"Okada","given":"H.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":844335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Litt, Andrea R.","contributorId":208358,"corporation":false,"usgs":false,"family":"Litt","given":"Andrea","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":844336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gunther, Kerry A.","contributorId":84621,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5118,"text":"Yellowstone National Park, Yellowstone Center for Resources, Bear Management Office, P.O. Box 168, Yellowstone National Park, WY 82190","active":true,"usgs":false}],"preferred":false,"id":844337,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":844338,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70234203,"text":"70234203 - 2022 - Ephemeral stream network extraction from lidar-derived elevation and topographic attributes in urban and forested landscapes","interactions":[],"lastModifiedDate":"2022-08-12T16:57:52.070812","indexId":"70234203","displayToPublicDate":"2022-06-07T06:33:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Ephemeral stream network extraction from lidar-derived elevation and topographic attributes in urban and forested landscapes","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Under-representations of headwater channels in digital stream networks can result in uncertainty in the magnitude of headwater habitat loss, stream burial, and watershed function. Increased availability of high-resolution (&lt;2 m) elevation data makes the delineation of headwater channels more attainable. In this study, elevation data derived from light detection and ranging was used to predict ephemeral stream networks across a forested and urban watershed in the Maryland Piedmont USA. A method was developed using topographic openness (TO) and wetness index to remotely predict the extent of stream networks. Predicted networks were compared against a comprehensive field survey of the ephemeral network in each watershed to evaluate performance. Comparisons were also made to the U.S. Geological Survey National Hydrography Dataset (NHD) and a flow accumulation approach where a single drainage area threshold defined channel initiation. Although the NHD and flow accumulation methods resulted in low commission errors, omission errors were highest in these networks. The TO-based networks detected a larger number of ephemeral channels, but with higher commission error. Small ephemeral channels with less defined banks or originating at groundwater seeps were difficult to detect in all methods. Comparisons between forested and urban watersheds also highlight the difficulty of identifying headwater channels using topographic attributes in human-modified landscapes.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13012","usgsCitation":"Metes, M.J., Jones, D.K., Baker, M.E., Miller, A.J., Hogan, D.M., Loperfido, J., and Hopkins, K.G., 2022, Ephemeral stream network extraction from lidar-derived elevation and topographic attributes in urban and forested landscapes: Journal of the American Water Resources Association, v. 58, no. 4, p. 547-565, https://doi.org/10.1111/1752-1688.13012.","productDescription":"19 p.","startPage":"547","endPage":"565","ipdsId":"IP-109164","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":447514,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11603/25141","text":"External Repository"},{"id":404741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Piedmont region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.3,\n              39.2333\n            ],\n            [\n              -77.25,\n              39.2333\n            ],\n            [\n              -77.25,\n              39.2833\n            ],\n            [\n              -77.3,\n              39.2833\n            ],\n            [\n              -77.3,\n              39.2333\n            ]\n          ]\n        ]\n      }\n    }\n  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E.","contributorId":149189,"corporation":false,"usgs":false,"family":"Baker","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":17665,"text":"Department of Geography and Environmental Systems, University of Maryland, Baltimore County, Baltimore, Maryland, US","active":true,"usgs":false}],"preferred":false,"id":848168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Andrew J.","contributorId":207595,"corporation":false,"usgs":false,"family":"Miller","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":15309,"text":"University of Maryland Baltimore County","active":true,"usgs":false}],"preferred":false,"id":848169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":131137,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":848170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loperfido, J.V.","contributorId":294508,"corporation":false,"usgs":false,"family":"Loperfido","given":"J.V.","affiliations":[{"id":63581,"text":"Stormwater and GIS Services Division of the Public Works Department, City of Durham, NC","active":true,"usgs":false}],"preferred":false,"id":848171,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":848172,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70232275,"text":"70232275 - 2022 - Repeated genetic targets of natural selection underlying adaptation of euryhaline fishes to changing salinity","interactions":[],"lastModifiedDate":"2023-03-24T16:53:55.619697","indexId":"70232275","displayToPublicDate":"2022-06-06T18:31:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2010,"text":"Integrative and Comparative Biology","active":true,"publicationSubtype":{"id":10}},"title":"Repeated genetic targets of natural selection underlying adaptation of euryhaline fishes to changing salinity","docAbstract":"<p><span>Ecological transitions across salinity boundaries have led to some of the most important diversification events in the animal kingdom, especially among fishes. Adaptations accompanying such transitions include changes in morphology, diet, whole-organism performance, and osmoregulatory function, which may be particularly prominent since divergent salinity regimes make opposing demands on systems that maintain ion and water balance. Research in the last decade has focused on the genetic targets underlying such adaptations, most notably by comparing populations of species that are distributed across salinity boundaries. Here, we synthesize research on the targets of natural selection using whole-genome approaches, with a particular emphasis on the osmoregulatory system. Given the complex, integrated and polygenic nature of this system, we expected that signatures of natural selection would span numerous genes across functional levels of osmoregulation, especially salinity sensing, hormonal control, and cellular ion exchange mechanisms. We find support for this prediction: genes coding for V-type, Ca</span><sup>2+</sup><span>, and Na</span><sup>+</sup><span>/K</span><sup>+</sup><span>-ATPases, which are key cellular ion exchange enzymes, are especially common targets of selection in species from six orders of fishes. This indicates that while polygenic selection contributes to adaptation across salinity boundaries, changes in ATPase enzymes may be of particular importance in supporting such transitions.</span></p>","language":"English","publisher":"Society for Integrative and Comparative Biology.","doi":"10.1093/icb/icac072","usgsCitation":"Velotta, J., McCormick, S.D., Whitehead, A., Durso, C.S., and Schultz, E., 2022, Repeated genetic targets of natural selection underlying adaptation of euryhaline fishes to changing salinity: Integrative and Comparative Biology, v. 62, no. 2, p. 357-375, https://doi.org/10.1093/icb/icac072.","productDescription":"19 p.","startPage":"357","endPage":"375","ipdsId":"IP-139776","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":447518,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/icb/icac072","text":"Publisher Index Page"},{"id":402451,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Velotta, Jonathan P","contributorId":192317,"corporation":false,"usgs":false,"family":"Velotta","given":"Jonathan P","affiliations":[],"preferred":false,"id":844957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":844958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitehead, Andrew","contributorId":221105,"corporation":false,"usgs":false,"family":"Whitehead","given":"Andrew","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":844959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durso, Catherine S","contributorId":292523,"corporation":false,"usgs":false,"family":"Durso","given":"Catherine","email":"","middleInitial":"S","affiliations":[{"id":12651,"text":"University of Denver","active":true,"usgs":false}],"preferred":false,"id":844960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schultz, Eric T.","contributorId":260102,"corporation":false,"usgs":false,"family":"Schultz","given":"Eric T.","affiliations":[],"preferred":false,"id":844961,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70232109,"text":"sir20225006 - 2022 - Tracking heat in the Willamette River system, Oregon","interactions":[],"lastModifiedDate":"2026-04-08T17:12:43.533209","indexId":"sir20225006","displayToPublicDate":"2022-06-06T14:10:06","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5006","displayTitle":"Tracking Heat in the Willamette River System, Oregon","title":"Tracking heat in the Willamette River system, Oregon","docAbstract":"<p class=\"p1\">The Willamette River Basin in northwestern Oregon is home to several cold-water fish species whose habitat has been altered by the Willamette Valley Project, a system of 13 dams and reservoirs operated by the U.S. Army Corps of Engineers. Water-resource managers use a variety of flow- and temperature-management strategies to ameliorate the effects of upstream Willamette Valley Project dams on the habitat and viability of these anadromous and native fish. In this study, new capabilities were added to the CE-QUAL-W2 two-dimensional flow and water-quality model to inform those flow- and temperature-management strategies by tracking the quantities and ages of water and heat from individual upstream sources to downstream locations in the Willamette River system. Specifically, the fraction of water and heat attributable to upstream dam releases or other water inputs, and the fraction of heat sourced from environmental heat fluxes across the water and sediment surfaces, were tracked and quantified in the river at all locations and times simulated by the model. Applying the updated CE-QUAL-W2 models to the Willamette River system for the months of March through October in the years 2011 (cool and wet), 2015 (hot and dry), and 2016 (warm and somewhat dry) demonstrated that the influence of upstream dam releases on downstream water temperature diminished within a few days as water moved downstream. At sites that are roughly two or more days of travel from upstream dams (Albany and downstream), the July–August fraction of riverine heat content that could be tracked back to upstream dam releases typically diminished to less than 20 percent, despite the fact that roughly 50 percent of July–August streamflow could be attributed to upstream dam releases at the same sites. In contrast, the fraction of riverine heat content that could be attributed to environmental energy fluxes continued to increase with downstream distance, from about 59 to 67 percent at Albany during July–August to 62 to 73 percent at Keizer and 68 to 79 percent at Newberg.</p><p class=\"p1\">At locations sufficiently far downstream, upstream dam releases affect water temperature mainly through a decrease in travel time (less time for environmental heat fluxes to warm the river during summer) and an increase in thermal mass (more water to dilute and buffer incoming heat fluxes) rather than through the simple transport of heat content (water temperature) released from the dams. This concept was explored not only for the baseline conditions that occurred in March–October of 2011, 2015, and 2016, but also for a hypothetical high-flow release during August 2016 and an actual high-flow release during August 2017. In these high-flow releases, an extra 2,500 cubic feet per second (roughly) was released from Dexter Dam on the Middle Fork Willamette River, and downstream effects were measured (2017, actual) and simulated (2016, hypothetical). Results of the simulations were consistent with insights gained from the baseline conditions, such that temperature changes caused by flow augmentation were substantial in upstream reaches (measured cooling of about 1.5 °C near Harrisburg [43 miles downstream] and Albany [84 miles downstream] in 2017, and cooling of about 0.5 °C near Albany in 2016) and diminished farther downstream, but still measurable (more than a few tenths of a degree Celsius) even at Newberg, which is about 154 miles downstream. The direct downstream effects of dam releases on the river heat content attributable to those releases were increased by the hypothetical flow augmentation, with increases of 20 percent at Harrisburg and 12 percent at Keizer. Even with a decreased influence of environmental energy fluxes on river heat content, however, the fraction of heat content attributable to such fluxes was still more than 50 percent at and downstream of Albany and more than 70 percent at Newberg, where the river temperature was less affected by upstream dam-release temperatures and instead was affected primarily by a decreased travel time and increased thermal mass.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225006","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Portland District","usgsCitation":"Rounds, S.A., and Stratton Garvin, L.E., 2022, Tracking heat in the Willamette River system, Oregon: U.S. Geological Survey Scientific Investigations Report 2022–5006, 47 p., https://doi.org/10.3133/sir20225006.","productDescription":"Report: vii, 47 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-119740","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":401781,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P908DXKH","text":"USGS data release","description":"USGS data release","linkHelpText":"CE-QUAL-W2 models for the Willamette River and major tributaries below U.S. Army Corps of Engineers dams—2011, 2015, and 2016: U.S. Geological Survey data release, https://doi.org/10.5066/P908DXKH."},{"id":401780,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5006/sir20225006.pdf","text":"Report","size":"5.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5006"},{"id":401779,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5006/coverthb.jpg"},{"id":401783,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20225035","text":"SIR 2022-5035 —","description":"SIR 2022-5035","linkHelpText":"The thermal landscape of the Willamette River—Patterns and controls on stream temperature and implications for flow management and cold-water salmonids"},{"id":401782,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20221017","text":"OFR 2022-1017 —","description":"OFR 2022-1017","linkHelpText":"Updates to models of streamflow and water temperature for 2011, 2015, and 2016 in rivers of the Willamette River Basin, Oregon"},{"id":401784,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20225034","text":"SIR 2022-5034 —","description":"SIR 2022-5034","linkHelpText":"Assessment of habitat availability for juvenile Chinook salmon (<em>Oncorhynchus tshawytscha</em>) and steelhead (<em>O. mykiss</em>) in the Willamette River, Oregon"},{"id":401870,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5006/sir20225006.XML"},{"id":401869,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5006/images"},{"id":502294,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113159.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.67858886718747,\n              43.572431747409695\n            ],\n            [\n              -121.44836425781247,\n              43.572431747409695\n            ],\n            [\n              -121.44836425781247,\n              45.7905094675247\n            ],\n            [\n              -123.67858886718747,\n              45.7905094675247\n            ],\n            [\n              -123.67858886718747,\n              43.572431747409695\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/or-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Study Methods</li><li>Results of Simulations</li><li>Dimensionless Numbers and Useful Ratios</li><li>A Flow-Augmentation Case Study</li><li>Summary and Implications for Monitoring and Management</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1</li><li>Appendix 2</li><li>Appendix 3</li></ul>","publishedDate":"2022-06-06","noUsgsAuthors":false,"publicationDate":"2022-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stratton Garvin, Laurel E. 0000-0001-8567-8619 lstratton@usgs.gov","orcid":"https://orcid.org/0000-0001-8567-8619","contributorId":270182,"corporation":false,"usgs":true,"family":"Stratton Garvin","given":"Laurel","email":"lstratton@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844226,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70232108,"text":"sir20225035 - 2022 - The thermal landscape of the Willamette River—Patterns and controls on stream temperature and implications for flow management and cold-water salmonids","interactions":[],"lastModifiedDate":"2026-04-09T17:21:11.420138","indexId":"sir20225035","displayToPublicDate":"2022-06-06T13:31:56","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5035","displayTitle":"The Thermal Landscape of the Willamette River—Patterns and Controls on Stream Temperature and Implications for Flow Management and Cold-Water Salmonids","title":"The thermal landscape of the Willamette River—Patterns and controls on stream temperature and implications for flow management and cold-water salmonids","docAbstract":"<p class=\"p1\">Water temperature is a primary control on the health, diversity, abundance, and distribution of aquatic species, but thermal degradation resulting from anthropogenic influences on rivers is a challenge to threatened species worldwide. In the Willamette River Basin, northwestern Oregon, spring-run Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and winter-run steelhead (<i>O. mykiss</i>) are formerly abundant cold-water-adapted species that are now protected under the Endangered Species Act. Among the challenges to the health of cold-water salmonids in the Willamette River Basin, disruptions in the seasonal patterns of stream temperature imposed by 13 large, multipurpose dams on tributaries to the Willamette River, as well as temperatures routinely in excess of regulatory limits in the Willamette River Basin, are contributing factors. To better understand controls on stream temperature, the sensitivity of stream temperature to flow augmentation as a management tool for suppressing high temperatures, and the implications for threatened salmonids, this study used a two-dimensional hydrodynamic and water-quality model (CE-QUAL-W2) to investigate spatial and temporal patterns of stream temperature in the Willamette River Basin. This study focused on the upper 160.4 river miles of the Willamette River from the confluence of the Middle Fork and Coast Fork Willamette Rivers (river mile 187.2) to Willamette Falls (river mile 26.8), three representative climate years (2011, a cool and wet year; 2015, an extremely hot and dry year; and 2016, a moderately hot and dry year), and a series of flow-augmentation scenarios. Model results show that the Willamette River upstream from Willamette Falls is divisible into four characteristic “thermal reaches” with similar thermal patterns, depending on tributary input, warming rate, and the timing of thermal response. In general, the Willamette River warms downstream during spring and summer, but patterns are complex, influenced by tributary inflows, and seasonally variable. Except in cool wet years (as illustrated by 2011), modeling suggests that adversely warm conditions for spring-run Chinook salmon are extensive from June or July through August. The thermal influence of flow augmentation from dam storage on four tributaries with U.S. Army Corps of Engineers dams varies spatially along the Willamette River, seasonally, and in magnitude, depending on a range of factors like distance from the Willamette River, the temperature of dam outflow, and the thermal template of tributary reaches controlling stream temperature adjustment to environmental heat fluxes. Modeling suggests that targeted flow management (via augmentation from dam storage) can reduce the extent and duration of thermally stressful conditions for Chinook salmon for short periods, but modeling suggests that flow augmentation is limited in its ability to fundamentally alter the “thermal landscape” (the entire range of temperature variation in a river system over space and time) of the Willamette River. While this research provides general insights into the thermal landscape of the Willamette River and its sensitivity to flow management, additional investigation into the thermal landscape of tributaries downstream from U.S. Army Corps of Engineers dams, as well as the thermal management of reservoirs, storage availability, and dam outflows, would be necessary to target specific management actions for supporting specified rearing or migration conditions for spring-run Chinook salmon and other cold-water-adapted species in the Willamette River Basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225035","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Portland District","usgsCitation":"Stratton Garvin, L.E., and Rounds, S.A., 2022, The thermal landscape of the Willamette River—Patterns and controls on stream temperature and implications for flow management and cold-water salmonids: U.S. Geological Survey Scientific Investigations Report 2022–5035, 43 p., https://doi.org/10.3133/sir20225035.","productDescription":"Report: vi, 43 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-126305","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":401868,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5035/sir20225035.XML"},{"id":401867,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5035/images"},{"id":401763,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5035/coverthb.jpg"},{"id":401769,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20225034","text":"SIR 2022-5034 —","description":"SIR 2022-5034","linkHelpText":"Assessment of habitat availability for juvenile Chinook salmon (<em>Oncorhynchus tshawytscha</em>) and steelhead (<em>O. mykiss</em>) in the Willamette River, Oregon"},{"id":401768,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20221017","text":"OFR 2022-1017 —","description":"OFR 2022-1017","linkHelpText":"Updates to models of streamflow and water temperature for 2011, 2015, and 2016 in rivers of the Willamette River Basin, Oregon"},{"id":401765,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P908DXKH","text":"USGS data release","description":"USGS data release","linkHelpText":"CE-QUAL-W2 models for the Willamette River and major tributaries below U.S. Army Corps of Engineers dams—2011, 2015, and 2016"},{"id":401764,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5035/sir20225035.pdf","text":"Report","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5035"},{"id":502391,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113158.htm","linkFileType":{"id":5,"text":"html"}},{"id":401767,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20225006","text":"SIR 2022-5006 —","description":"SIR 2022-5006","linkHelpText":"Tracking heat in the Willamette River system, Oregon"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.67858886718747,\n              43.572431747409695\n            ],\n            [\n              -121.44836425781247,\n              43.572431747409695\n            ],\n            [\n              -121.44836425781247,\n              45.7905094675247\n            ],\n            [\n              -123.67858886718747,\n              45.7905094675247\n            ],\n            [\n              -123.67858886718747,\n              43.572431747409695\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/or-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusions and Future Work</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1</li></ul>","publishedDate":"2022-06-06","noUsgsAuthors":false,"publicationDate":"2022-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Stratton Garvin, Laurel E. 0000-0001-8567-8619 lstratton@usgs.gov","orcid":"https://orcid.org/0000-0001-8567-8619","contributorId":270182,"corporation":false,"usgs":true,"family":"Stratton Garvin","given":"Laurel","email":"lstratton@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70232107,"text":"sir20225034 - 2022 - Assessment of habitat availability for juvenile Chinook salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss) in the Willamette River, Oregon","interactions":[],"lastModifiedDate":"2022-06-07T11:16:08.029566","indexId":"sir20225034","displayToPublicDate":"2022-06-06T12:46:54","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5034","displayTitle":"Assessment of Habitat Availability for Juvenile Chinook Salmon (<em>Oncorhynchus tshawytscha</em>) and Steelhead (<em>O. mykiss</em>) in the Willamette River, Oregon","title":"Assessment of habitat availability for juvenile Chinook salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss) in the Willamette River, Oregon","docAbstract":"<p class=\"p1\">The Willamette River, Oregon, is home to two salmonid species listed as threatened under the Endangered Species Act, Upper WIllamette River spring Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and Upper Willamette River winter steelhead (<i>O. mykiss</i>). Streamflow in the Willamette River is regulated by upstream dams, 13 of which are operated by the U.S. Army Corps of Engineers (USACE) as part of the Willamette Valley Project. In 2008, these dams were determined to have a deleterious effect on Endangered Species Act-listed salmonids, resulting in USACE taking actions to mitigate those effects. Mitigation actions included setting seasonal streamflow targets at various locations along the river to improve survival and migration of juvenile salmonids. Although these targets were established with the best available information at the time, recent data and models have advanced understanding of Willamette River bathymetric, hydraulic, and thermal conditions, allowing for a more robust analysis of the effect of streamflow on downstream habitat. This study integrates those recent advances to build high-resolution models of usable habitat for juvenile Chinook salmon and steelhead to assess variation in spatial and seasonal patterns of habitat availability. Specifically, this study develops detailed maps of habitat availability for juvenile Chinook salmon and steelhead for two size classes (fry and pre-smolt). Habitat availability is modeled in a three-step process whereby (1) two-dimensional hydraulic models are paired with literature-supplied data on habitat preferences to create spatially explicit maps of rearing habitats for a wide range of streamflows; (2) reach-specific relations between streamflow and habitat area are developed and paired with streamgage records to create habitat time series for 2011, 2015, and 2016, which reflect “cool and wet,” “hot and dry,” and “warm but average precipitation” conditions, respectively; (3) temperature models are coupled with literature-based thermal thresholds to determine time periods and locations along the river corridor when rearing habitat has optimal, harmful, or lethal temperature conditions; (4) finally, habitat availability is summarized at several spatial scales to characterize longitudinal and seasonal patterns.</p><p class=\"p2\">Findings show that modeled area of rearing habitat for Chinook salmon and steelhead responds non-uniformly to streamflow, where habitat in some reaches of the Willamette River consistently increase with additional streamflow, while in other reaches, habitat area decreases when streamflows increase from low to moderate flows. Modeled differences in flow-habitat relations are primarily explained by local geomorphology in each reach and resulting hydraulic conditions that arise with different streamflows. These are most pronounced when comparing laterally active, multi-channel reaches upstream from Corvallis with downstream reaches that are laterally stable with single-channel planforms. The reaches upstream from Corvallis generally have more habitat available per unit stream distance than downstream reaches, but all reaches display greatest amounts of habitat at the highest streamflows. Finally, results show that warm water temperature in summer greatly decreases the utility of habitat available to the focal species, particularly downstream from Corvallis. Together, these findings serve to inform flow management by characterizing spatial and seasonal patterns of habitat availability for juvenile spring Chinook salmon and winter steelhead and provide a quantitative assessment of the effects of streamflow on rearing habitat.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225034","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"White, J.S., Peterson, J.T., Stratton Garvin, L.E., Kock, T.J., and Wallick, J.R., 2022, Assessment of habitat availability for juvenile Chinook salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss) in the Willamette River, Oregon: U.S. Geological Survey Scientific Investigations Report 2022–5034, 44 p., https://doi.org/10.3133/sir20225034.","productDescription":"viii, 44 p.","onlineOnly":"Y","ipdsId":"IP-130018","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":401758,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5034/coverthb.jpg"},{"id":401759,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5034/sir20225034.pdf","text":"Report","size":"13.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5034"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.40942382812501,\n              44.05995928349327\n            ],\n            [\n              -122.2943115234375,\n              44.05995928349327\n            ],\n            [\n              -122.2943115234375,\n              45.66780526567164\n            ],\n            [\n              -123.40942382812501,\n              45.66780526567164\n            ],\n            [\n              -123.40942382812501,\n              44.05995928349327\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/or-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Approach</li><li>Results</li><li>Discussion</li><li>Conclusions and Future Work</li><li>References Cited</li><li>Glossary</li><li>Appendix 1</li><li>Appendix 2</li></ul>","publishedDate":"2022-06-06","noUsgsAuthors":false,"publicationDate":"2022-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"White, James S. 0000-0002-7255-3785 jameswhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7255-3785","contributorId":290253,"corporation":false,"usgs":false,"family":"White","given":"James","email":"jameswhite@usgs.gov","middleInitial":"S.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":844218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":204948,"corporation":false,"usgs":false,"family":"Peterson","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":844219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stratton Garvin, Laurel E. 0000-0001-8567-8619 lstratton@usgs.gov","orcid":"https://orcid.org/0000-0001-8567-8619","contributorId":270182,"corporation":false,"usgs":true,"family":"Stratton Garvin","given":"Laurel","email":"lstratton@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":844221,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. Rose","email":"rosewall@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844222,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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