{"pageNumber":"117","pageRowStart":"2900","pageSize":"25","recordCount":68788,"records":[{"id":70241011,"text":"70241011 - 2023 - Elodea mediates juvenile salmon growth by altering physical structure in freshwater habitats","interactions":[],"lastModifiedDate":"2023-05-01T15:55:38.2878","indexId":"70241011","displayToPublicDate":"2023-02-13T06:37:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Elodea mediates juvenile salmon growth by altering physical structure in freshwater habitats","title":"Elodea mediates juvenile salmon growth by altering physical structure in freshwater habitats","docAbstract":"

Invasive species introductions in high latitudes are accelerating and elevating the need to address questions of their effects on Subarctic and Arctic ecosystems. As a driver of ecosystem function, submerged aquatic vegetation is one of the most deleterious biological invasions to aquatic food webs. The aquatic plant Elodea spp. has potential to be a widespread invader to Arctic and Subarctic ecosystems and is already established in 19 waterbodies in Alaska, USA. Elodea spp. has been found to alter ecosystem processes through multiple pathways; yet little is known about the impact of Elodea spp. on fish life history. A primary concern is the effect of Elodea spp. on juvenile Pacific salmon (Oncorhynchus spp.), because this invading plant can form dense stands in littoral zones, potentially impacting important freshwater rearing habitats used by juvenile fish for foraging and refuge from predators. We used a field experiment to test the effect of Elodea spp. on juvenile coho salmon (O. kisutch) growth in an infested lake near Cordova, Alaska, USA. We found that Elodea spp. stands result in reduced growth and a lower trophic position for juvenile coho salmon over the summer compared to habitats dominated by a native assemblage of aquatic plants. While infested sites were not associated with significant changes in water condition or primary productivity compared to sites dominated by native vegetation, zooplankton densities were reduced, and Elodea spp. height and vegetation richness increased macroinvertebrate densities. Combined, these results indicate that Elodea spp. may alter the flow of energy to juvenile salmon by restructuring space and affecting prey resources for rearing fish. Furthermore, these results suggest that widespread establishment of Elodea spp. may alter the quality of habitat for juvenile salmon and, by affecting juvenile fish growth, could lead to population-level impacts on salmon returns.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-022-02992-3","usgsCitation":"Carey, M.P., Reeves, G.H., Sethi, S., Tanner, T.L., Young, D.B., Bartz, K.K., and Zimmerman, C.E., 2023, Elodea mediates juvenile salmon growth by altering physical structure in freshwater habitats: Biological Invasions, v. 25, p. 1509-1525, https://doi.org/10.1007/s10530-022-02992-3.","productDescription":"17 p.","startPage":"1509","endPage":"1525","ipdsId":"IP-137994","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":444490,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-022-02992-3","text":"Publisher Index Page"},{"id":435458,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GXS8G8","text":"USGS data release","linkHelpText":"Limnological Data from Experimental Exposure of Juvenile Coho Salmon (Oncorhynchus kisutch) to Elodea in a High Latitude Lake"},{"id":413698,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","noUsgsAuthors":false,"publicationDate":"2023-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":865707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":865708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sethi, Suresh 0000-0002-0053-1827 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":865709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tanner, Theresa L.","contributorId":302881,"corporation":false,"usgs":false,"family":"Tanner","given":"Theresa","email":"","middleInitial":"L.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":865710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":865711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartz, Krista K.","contributorId":200705,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":865712,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":865713,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256605,"text":"70256605 - 2023 - A review of factors affecting the susceptibility of juvenile salmonids to avian predation","interactions":[],"lastModifiedDate":"2024-08-26T15:10:31.312614","indexId":"70256605","displayToPublicDate":"2023-02-12T10:06:52","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"A review of factors affecting the susceptibility of juvenile salmonids to avian predation","docAbstract":"

We reviewed studies of piscivorous colonial waterbird predation on juvenile salmonids to synthesize current knowledge of factors affecting fish susceptibility to avian predators. Specifically, we examined peer-reviewed publications and reports from academic, governmental, and nongovernmental agencies to identify commonalities and differences in susceptibility of salmonids to avian predation, with a focus on mark–recovery studies in the Columbia River basin. Factors hypothesized to influence salmonid susceptibility to avian predation were grouped into four general categories: (1) salmonid species and populations, (2) environmental factors, (3) prey density, predator density, and migration timing, and (4) prey characteristics. Our review focused on predation by Caspian terns Hydroprogne caspia, double-crested cormorants Nannopterum auritum, and gull species Larus spp. as these are the most well-studied avian predators of salmonids. Results indicated that predator–prey interactions varied across salmonid species and populations and species of avian predator. Inferences across studies supported multiple hypotheses regarding predator–prey dynamics, including environmental factors that influence prey exposure to predators (e.g., river flows, turbidity, alternative prey), variation in predator and prey abundances, predator characteristics (e.g., foraging behavior, colony location), and prey characteristics (e.g., fish length, condition). Mark–recovery studies of avian predation on fish populations have greatly improved our understanding of the factors affecting fish susceptibility to avian predation, the relative contributions of abiotic and biotic factors to predation susceptibility, and the extent to which avian predation affects fish survival and the viability of prey populations. Future studies that jointly model predation and survival and the factors affecting those processes will further broaden our understanding of predator–prey dynamics and directly evaluate the effects of predation on prey population dynamics.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10862","usgsCitation":"Hostetter, N.J., Evans, A.F., Payton, Q., Roby, D., Lyons, D., and Collis, K., 2023, A review of factors affecting the susceptibility of juvenile salmonids to avian predation, v. 43, no. 1, p. 244-256, https://doi.org/10.1002/nafm.10862.","productDescription":"13 p.","startPage":"244","endPage":"256","ipdsId":"IP-145263","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":444493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10862","text":"Publisher Index Page"},{"id":433156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":908260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Allen F.","contributorId":171691,"corporation":false,"usgs":false,"family":"Evans","given":"Allen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":908261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Payton, Quinn","contributorId":149990,"corporation":false,"usgs":false,"family":"Payton","given":"Quinn","email":"","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":908262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roby, Daniel D. 0000-0001-9844-0992","orcid":"https://orcid.org/0000-0001-9844-0992","contributorId":272249,"corporation":false,"usgs":true,"family":"Roby","given":"Daniel D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, Donald E.","contributorId":20119,"corporation":false,"usgs":true,"family":"Lyons","given":"Donald E.","affiliations":[],"preferred":false,"id":908264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collis, Ken","contributorId":149991,"corporation":false,"usgs":false,"family":"Collis","given":"Ken","email":"","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":908265,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70241138,"text":"70241138 - 2023 - Mapping vegetation index-derived actual evapotranspiration across croplands using the Google Earth Engine platform","interactions":[],"lastModifiedDate":"2023-03-13T11:54:13.751883","indexId":"70241138","displayToPublicDate":"2023-02-12T06:51:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping vegetation index-derived actual evapotranspiration across croplands using the Google Earth Engine platform","docAbstract":"
Precise knowledge of crop water consumption is essential to better manage agricultural water use, particularly in regions where most countries struggle with increasing water and food insecurity. Approaches such as cloud computing and remote sensing (RS) have facilitated access, process, and visualization of big geospatial data to map and monitor crop water requirements. To find the most reliable Vegetation Index (VI)-based evapotranspiration (ETa) for croplands in drylands, we modeled and mapped ETa using empirical RS methods across the Zayandehrud river basin in Iran for two decades (2000–2019) on the Google Earth Engine platform using the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index 2 (EVI2). Developed ET-VI products in this study comprise three NDVI-based ETa (ET-NDVI*, ET-NDVI*scaled, and ET-NDVIKc) and an EVI2-based ETa (ET-EVI2). We (a) applied, for the first time, the ET-NDVI* method to croplands as a crop-independent index and then compared its performance with the ET-EVI2 and crop ET, and (b) assessed the ease and feasibility of the transferability of these methods to other regions. Comparing four ET-VI products showed that annual ET-EVI2 and ET-NDVI*scaled estimations were close. ET-NDVIKc consistently overestimated ETa. Our findings indicate that ET-EVI2 and ET-NDVIKc were easy to parametrize and adopt to other regions, while ET-NDVI* and ET-NDVI*scaled are site-dependent and sensitive to image acquisition time. ET-EVI2 performed robustly in arid and semi-arid regions making it a better tool. Future research should further develop and confirm these findings by characterizing the accuracy of VI-based ETa over croplands in drylands by comparing them with available ETa products and examining their performance using crop-specific comparisons.
","language":"English","publisher":"MDPI","doi":"10.3390/rs15041017","usgsCitation":"Abbasi, N., Nouri, H., Didan, K., Barreto-Muñoz, A., Chavoshi Borujeni, S., Opp, C., Nagler, P.L., Thenkabail, P., and Siebert, S., 2023, Mapping vegetation index-derived actual evapotranspiration across croplands using the Google Earth Engine platform: Remote Sensing, v. 15, no. 4, 1017, 21 p., https://doi.org/10.3390/rs15041017.","productDescription":"1017, 21 p.","ipdsId":"IP-141104","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":444496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs15041017","text":"Publisher Index Page"},{"id":414008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Abbasi, Neda","contributorId":270293,"corporation":false,"usgs":false,"family":"Abbasi","given":"Neda","email":"","affiliations":[{"id":56138,"text":"Dept of Crop Sciences, University of Göttingen, Von-Siebold-Straße 8, 37075, Göttingen, Germany; Dept of Geography, Philipps-Universität Marburg, Deutschhausstraße 10, 35032, Marburg, Germany","active":true,"usgs":false}],"preferred":false,"id":866233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nouri, Hamideh","contributorId":178847,"corporation":false,"usgs":false,"family":"Nouri","given":"Hamideh","affiliations":[],"preferred":false,"id":866234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Didan, Kamel","contributorId":292780,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":866235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barreto-Muñoz, Armando","contributorId":239891,"corporation":false,"usgs":false,"family":"Barreto-Muñoz","given":"Armando","affiliations":[{"id":48028,"text":"University of Arizona, Biosystems Engineering, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":866236,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chavoshi Borujeni, Sattar","contributorId":241612,"corporation":false,"usgs":false,"family":"Chavoshi Borujeni","given":"Sattar","email":"","affiliations":[{"id":48363,"text":"Soil Conservation and Watershed Management Research Department, Isfahan Agricultural and Natural Resources Research and Education Centre, AREEO, Isfahan, Iran","active":true,"usgs":false}],"preferred":false,"id":866237,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Opp, Christian","contributorId":270296,"corporation":false,"usgs":false,"family":"Opp","given":"Christian","email":"","affiliations":[{"id":56142,"text":"Dept of Geography, Philipps-Universität Marburg, Deutschhausstraße 10, 35032, Marburg, Germany","active":true,"usgs":false}],"preferred":false,"id":866238,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":866239,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":866240,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Siebert, Stefan","contributorId":270297,"corporation":false,"usgs":false,"family":"Siebert","given":"Stefan","email":"","affiliations":[{"id":56143,"text":"Dept of Crop Sciences, University of Göttingen, Von-Siebold-Straße 8, 37075, Göttingen, Germany","active":true,"usgs":false}],"preferred":false,"id":866241,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70243039,"text":"70243039 - 2023 - Framework for facilitating mangrove recovery after hurricanes on Caribbean islands","interactions":[],"lastModifiedDate":"2023-09-06T16:08:19.597675","indexId":"70243039","displayToPublicDate":"2023-02-11T07:24:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Framework for facilitating mangrove recovery after hurricanes on Caribbean islands","docAbstract":"

Mangrove ecosystems in the Caribbean are frequently exposed to hurricanes, leading to structural and regenerative change that elicit calls for recovery action. For those mangroves unaffected by human modifications, recovery can occur naturally. Indeed, observable natural recovery after hurricanes is the genesis of the “disturbance adaptation” classification for mangroves; while structural legacies exist, unaltered stands often regenerate and persist. However, among the >7,000 islands, islets, and cays that make up the Caribbean archipelago, coastal alterations to support development affect mechanisms for regeneration, sediment distribution, tidal water conveyance, and intertidal mangrove transgression, imposing sometimes insurmountable barriers to natural post-hurricane recovery. We use a case study approach to suggest that actions to facilitate recovery of mangroves on Caribbean islands (and similar settings globally) may be more effective when focusing on ameliorating pre-existing anthropogenic stressors. Actions to clean debris, collect mangrove propagules, and plant seedlings are noble endeavors, but can be costly and fall short of achieving recovery goals in isolation without careful consideration of pre-hurricane stress. We update a procedural framework that considers six steps to implementing “Ecological Mangrove Restoration” (EMR), and we apply them specifically to hurricane recovery. If followed, EMR may expedite actions by suggesting immediate damage assessment focused on hydrogeomorphic mangrove type, hydrology, and previous anthropogenic (or natural) influence. Application of EMR may help to improve mangrove recovery success following catastrophic storms, and reduce guesswork, delays, and monetary inefficiencies.

","language":"English","publisher":"British Ecological Society","doi":"10.1111/rec.13885","usgsCitation":"Krauss, K., Whelan, K.R., Kennedy, J.P., Friess, D.A., Rogers, C., Stewart, H.A., Grimes, K.W., Trench, C.A., Ogurcak, D.E., Toline, C.A., Ball, L.C., and From, A., 2023, Framework for facilitating mangrove recovery after hurricanes on Caribbean islands: Restoration Ecology, v. 31, no. 7, e13885, https://doi.org/10.1111/rec.13885.","productDescription":"e13885","ipdsId":"IP-138477","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":416436,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219653,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":870760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whelan, Kevin R.T.","contributorId":225171,"corporation":false,"usgs":false,"family":"Whelan","given":"Kevin","email":"","middleInitial":"R.T.","affiliations":[{"id":41065,"text":"3U.S. National Park Service, Miami, FL 33157 USA","active":true,"usgs":false}],"preferred":false,"id":870761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, John Paul","contributorId":304505,"corporation":false,"usgs":false,"family":"Kennedy","given":"John","email":"","middleInitial":"Paul","affiliations":[{"id":25496,"text":"Manchester Metropolitan University","active":true,"usgs":false}],"preferred":false,"id":870762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friess, Daniel A.","contributorId":169072,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel","email":"","middleInitial":"A.","affiliations":[{"id":25407,"text":"Department of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":870763,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rogers, Caroline 0000-0001-9056-6961","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":223023,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":870764,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Heather A.","contributorId":304507,"corporation":false,"usgs":false,"family":"Stewart","given":"Heather","email":"","middleInitial":"A.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":870765,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grimes, Kristin Wilson","contributorId":208051,"corporation":false,"usgs":false,"family":"Grimes","given":"Kristin","email":"","middleInitial":"Wilson","affiliations":[{"id":37691,"text":"Wells National Estuarine Research Reserve, Wells, Maine","active":true,"usgs":false}],"preferred":false,"id":870766,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Trench, Camilo A.","contributorId":304510,"corporation":false,"usgs":false,"family":"Trench","given":"Camilo","email":"","middleInitial":"A.","affiliations":[{"id":66090,"text":"Discovery Bay Marine Laboratory, Centre for Marine Studies, University of the West Indies","active":true,"usgs":false}],"preferred":false,"id":870767,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ogurcak, Danielle E.","contributorId":149171,"corporation":false,"usgs":false,"family":"Ogurcak","given":"Danielle","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":870768,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Toline, Catherine A.","contributorId":304511,"corporation":false,"usgs":false,"family":"Toline","given":"Catherine","email":"","middleInitial":"A.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":870769,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ball, Lianne C. 0000-0001-9331-0718 lball@usgs.gov","orcid":"https://orcid.org/0000-0001-9331-0718","contributorId":4274,"corporation":false,"usgs":true,"family":"Ball","given":"Lianne","email":"lball@usgs.gov","middleInitial":"C.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":870770,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"From, Andrew 0000-0002-6543-2627","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":223021,"corporation":false,"usgs":true,"family":"From","given":"Andrew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":870771,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70240674,"text":"70240674 - 2023 - Grizzly bear movement models predict habitat use for nearby populations","interactions":[],"lastModifiedDate":"2023-02-14T12:40:32.111101","indexId":"70240674","displayToPublicDate":"2023-02-11T06:36:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Grizzly bear movement models predict habitat use for nearby populations","docAbstract":"

Conservation planning and decision-making can be enhanced by ecological models that reliably transfer to times and places beyond those where models were developed. Transferrable models can be especially helpful for species of conservation concern, such as grizzly bears (Ursus arctos). Currently, only four grizzly bear populations remain in the contiguous United States. We evaluated transferability of previously derived individual-based, integrated step selection functions (iSSFs) developed from GPS-collared grizzly bears in the Northern Continental Divide Ecosystem by applying them within the nearby Selkirk (SE), Cabinet-Yaak (CYE), and Greater Yellowstone Ecosystems (GYE). We simulated 100 replicates of 5000 steps for each iSSF in each ecosystem, summarized relative use into 10 equal-area classes for each sex, and overlaid GPS locations from bears in the SE, CYE, and GYE on resulting maps. Spearman rank correlations between numbers of locations and class rank were ≥ 0.96 within each study area, indicating models were highly predictive of grizzly bear space use in these nearby populations. Assessment of models using smaller subsets of data in space and time demonstrated generally high predictive accuracy for females. Although generally high across space and time, predictive accuracy for males was low within some watersheds and in summer within the SE and CYE, potentially due to seasonal effects, vegetation, and food assemblage differences. Altogether, these results demonstrated high transferability of our models to landscapes in the Northern Rocky Mountains, suggesting they may be used to evaluate habitat suitability and connectivity throughout the region to benefit conservation planning.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2023.109940","usgsCitation":"Sells, S.N., Costello, C., Lukacs, P., van Manen, F.T., Haroldson, M.A., Kasworm, W., Tesiberg, J., Vinks, M., and Bjornlie, D.D., 2023, Grizzly bear movement models predict habitat use for nearby populations: Biological Conservation, v. 279, 109940, 11 p., https://doi.org/10.1016/j.biocon.2023.109940.","productDescription":"109940, 11 p.","ipdsId":"IP-146337","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":444499,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2023.109940","text":"Publisher Index Page"},{"id":413039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.98368712744784,\n 49.0632794642558\n ],\n [\n -122.98368712744784,\n 42.616881737488825\n ],\n [\n -107.47757695422943,\n 42.616881737488825\n ],\n [\n -107.47757695422943,\n 49.0632794642558\n ],\n [\n -122.98368712744784,\n 49.0632794642558\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"279","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sells, Sarah Nelson 0000-0003-4859-7160","orcid":"https://orcid.org/0000-0003-4859-7160","contributorId":302377,"corporation":false,"usgs":true,"family":"Sells","given":"Sarah","email":"","middleInitial":"Nelson","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":864238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costello, Cecily M.","contributorId":145510,"corporation":false,"usgs":false,"family":"Costello","given":"Cecily M.","affiliations":[{"id":5117,"text":"University of Montana, College of Forestry and Conservation, University Hall, Room 309, Missoula, MT 59812, USA","active":true,"usgs":false}],"preferred":false,"id":864239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lukacs, Paul","contributorId":189208,"corporation":false,"usgs":false,"family":"Lukacs","given":"Paul","affiliations":[],"preferred":false,"id":864240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":864241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":864242,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kasworm, Wayne","contributorId":150237,"corporation":false,"usgs":false,"family":"Kasworm","given":"Wayne","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":864243,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tesiberg, Justin","contributorId":302378,"corporation":false,"usgs":false,"family":"Tesiberg","given":"Justin","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":864244,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vinks, Milan","contributorId":302379,"corporation":false,"usgs":false,"family":"Vinks","given":"Milan","email":"","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":864245,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bjornlie, Daniel D.","contributorId":198348,"corporation":false,"usgs":false,"family":"Bjornlie","given":"Daniel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":864246,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70240442,"text":"sir20225127 - 2023 - Status and understanding of groundwater quality in the Redding–Red Bluff shallow aquifer study unit, 2019—California GAMA priority basin project","interactions":[],"lastModifiedDate":"2026-02-24T17:54:15.206636","indexId":"sir20225127","displayToPublicDate":"2023-02-09T13:32:20","publicationYear":"2023","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":"2022-5127","displayTitle":"Status and Understanding of Groundwater Quality in the Redding–Red Bluff Shallow Aquifer Study Unit, 2019: California GAMA Priority Basin Project","title":"Status and understanding of groundwater quality in the Redding–Red Bluff shallow aquifer study unit, 2019—California GAMA priority basin project","docAbstract":"

Groundwater quality in the north Sacramento Valley (NSV) was studied in the Redding–Red Bluff shallow aquifer study unit (referred to as the NSV shallow aquifer or NSV-SA) as part of the Priority Basin Project (PBP) of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program. The study unit is in Shasta and Tehama Counties and included two physiographic study areas: (1) the Redding area to the north and (2) the Red Bluff area to the south. The study was focused on groundwater resources used for domestic drinking-water supply, which are mostly drawn from shallower parts of aquifer systems than those of groundwater resources used for public drinking-water supply in the same area. This assessment characterized the quality of ambient groundwater in the aquifer before filtration or treatment, rather than the quality of drinking water delivered to the tap.
The water-quality evaluation in this study has three components: (1) a status assessment, which characterized the quality of the groundwater resources used for domestic supply for 2018–19, in reference to state and national benchmarks; (2) an understanding assessment, which evaluated the natural and human factors potentially affecting water quality in those resources; and (3) a comparison between the groundwater resources used for domestic supply and those used for public supply in the region.
The status assessment was based on data collected from 50 sites sampled by the U.S. Geological Survey for the GAMA-PBP in 2018–19. To provide context for the measured concentrations of groundwater constituents compared to U.S. Environmental Protection Agency and California State Water Resources Control Board Division of Drinking Water regulatory and non-regulatory benchmarks for drinking-water quality, relative concentrations (RCs) of groundwater constituents were calculated as the concentration in a sample divided by the respective benchmark. Health-based benchmarks include regulatory and non-regulatory human-health benchmarks such as a maximum contaminant level, notification level, or health-based screening level. Aesthetic-based benchmarks are regulatory or non-regulatory non-health-based benchmarks that can affect the color or taste of water. A grid-based method was used to estimate the proportions of the groundwater resources used for domestic drinking wells that have water-quality constituents below (low), approaching (moderate, greater than half the benchmark), or above (high) benchmark concentrations. This method provides statistically unbiased results at the study-area scale and permits comparisons to other GAMA-PBP study areas.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225127","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","programNote":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program","usgsCitation":"Harkness, J.S., 2023, Status and understanding of groundwater quality in the Redding–Red Bluff shallow aquifer study unit, 2019—California GAMA priority basin project: U.S. Geological Survey Scientific Investigations Report 2022–5127, 76 p., https://doi.org/10.3133/sir20225127.","productDescription":"Report: xii, 76 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-127139","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":412847,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XQIWRU","text":"USGS data release","linkHelpText":"Potential explanatory variables for groundwater quality in the Redding–Red Bluff shallow aquifer assessment study unit, 2018–2019—California GAMA Priority Basin Project"},{"id":412842,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5127/coverthb.jpg"},{"id":412843,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5127/sir20225127.pdf","text":"Report","size":"18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5127"},{"id":412844,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225127/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5127"},{"id":500482,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114339.htm","linkFileType":{"id":5,"text":"html"}},{"id":412846,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5127/sir20225127.XML"},{"id":412845,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5127/images"}],"country":"United States","state":"California","otherGeospatial":"Redding, Red Bluff","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.22608060888808,\n 40.66915109279353\n ],\n [\n -123.22608060888808,\n 38.91419987326245\n ],\n [\n -120.94189440773403,\n 38.91419987326245\n ],\n [\n -120.94189440773403,\n 40.66915109279353\n ],\n [\n -123.22608060888808,\n 40.66915109279353\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

NAWQA Science Team
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 413
Reston, VA 20192–0002

","tableOfContents":"","publishedDate":"2023-02-09","noUsgsAuthors":false,"publicationDate":"2023-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Harkness, Jennifer S. 0000-0001-9050-2570 jharkness@usgs.gov","orcid":"https://orcid.org/0000-0001-9050-2570","contributorId":224299,"corporation":false,"usgs":true,"family":"Harkness","given":"Jennifer","email":"jharkness@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863811,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70240477,"text":"sir20225129 - 2023 - Assessing the presence of current-use pesticides in mid-elevation Sierra Nevada streams using passive samplers, California, 2018–19","interactions":[],"lastModifiedDate":"2026-02-24T17:56:47.422848","indexId":"sir20225129","displayToPublicDate":"2023-02-09T11:19:39","publicationYear":"2023","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":"2022-5129","displayTitle":"Assessing the Presence of Current-Use Pesticides in Mid-Elevation Sierra Nevada Streams Using Passive Samplers, California, 2018–19","title":"Assessing the presence of current-use pesticides in mid-elevation Sierra Nevada streams using passive samplers, California, 2018–19","docAbstract":"

Passive sampler devices were deployed in six northern California streams five times between November 2018 and December 2019 to measure the presence or absence of current-use pesticides in surface water. In the targeted areas, there are reported pesticide uses for agriculture, commercial forestry, and rights of way maintenance along with unreported pesticide use at private residences and cannabis grow sites. The sites sampled in this study were not previously monitored for current-use pesticides. Streams in the Sierra Nevada foothills of northern California are important habitats for many sensitive species including salmonids, but the logistics of sampling these areas can be difficult using traditional water-quality sampling techniques, especially when sampling watersheds where contaminant transport is episodic. Chemcatcher passive sampling devices and silicone bands were deployed in these areas to concentrate pesticides for days to weeks at a time. The U.S. Geological Survey, in cooperation with the Central Valley Regional Water Quality Control Board, was responsible for developing passive sampler field deployment and laboratory analytical methods for current-use pesticides, providing pesticide measurements from streams in the study region, and determining how well passive samplers detect pesticides in these environments. Six sites were monitored during the study, and passive sampler extracts were analyzed for a total 155 current-use pesticides in this study. A total of 19 out of the 155 pesticides including 9 insecticides, 5 fungicides, and 5 herbicides were detected in extracts from passive samplers. The most frequently detected pesticides were the herbicides hexazinone and dithiopyr, the insecticides bifenthrin and methoxyfenozide, and the fungicide azoxystrobin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225129","collaboration":"Prepared in cooperation with Central Valley Regional Water Quality Control Board","usgsCitation":"De Parsia, M.D., Orlando, J.L., and Hladik, M.L., 2023, Assessing the presence of current-use pesticides in mid-elevation Sierra Nevada streams using passive samplers, California, 2018–19: U.S. Geological Survey Scientific Investigations Report 2022–5129, 31 p., https://doi.org/10.3133/sir20225129.","productDescription":"Report: vi, 31 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-126203","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":412877,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9T0CSCT","text":"USGS data release","description":"USGS data release","linkHelpText":"Pesticide detections in streams throughout the foothills of the Sierra Nevada range using passive samplers from 2017 to 2019"},{"id":412879,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5129/sir20225129.XML"},{"id":412878,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5129/Images"},{"id":412876,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225129/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5129"},{"id":412875,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5129/sir20225129.pdf","text":"Report","size":"4.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5129"},{"id":412874,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5129/coverthb.jpg"},{"id":500483,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114338.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.30362079688356,\n 40.16751419593339\n ],\n [\n -122.30362079688356,\n 37.95075778589002\n ],\n [\n -118.92126815286719,\n 37.95075778589002\n ],\n [\n -118.92126815286719,\n 40.16751419593339\n ],\n [\n -122.30362079688356,\n 40.16751419593339\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819

","tableOfContents":"","publishedDate":"2023-02-09","noUsgsAuthors":false,"publicationDate":"2023-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"De Parsia, Matthew D. 0000-0001-5806-5403","orcid":"https://orcid.org/0000-0001-5806-5403","contributorId":302268,"corporation":false,"usgs":false,"family":"De Parsia","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":863899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlando, James L. 0000-0002-0099-7221 jorlando@usgs.gov","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":1368,"corporation":false,"usgs":true,"family":"Orlando","given":"James","email":"jorlando@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":863900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":189904,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":863901,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70240723,"text":"70240723 - 2023 - Endangered Klamath suckers","interactions":[],"lastModifiedDate":"2023-02-16T16:16:47.782291","indexId":"70240723","displayToPublicDate":"2023-02-09T10:07:29","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Endangered Klamath suckers","docAbstract":"

Since Lost River suckers (Deltistes luxatus) and shortnose suckers (Chasmistes brevirostris) hatched in the early 1990s, almost none of the fish have survived to adulthood. When full grown, Lost River suckers are the largest of the Klamath suckers, averaging about two and a half feet long, whereas shortnose suckers are at around twenty-one inches. Rather than an inability to spawn, these species are limited by very high mortality within the first year or two of life. There are many hypothesized causes of high juvenile sucker mortality, including poor water quality, diseases aggravated by warming water temperatures, and the reduction in wetland habitat that provides food and cover.

The number of adult endangered Lost River and shortnose suckers in Upper Klamath Lake, the primary remaining habitat for these species, declined by 65 to 85 percent between 2001 and 2020. Extinction is increasingly likely for these species unless their population trajectories can be changed. The Klamath Tribes, the U.S. government, the State of Oregon, and several nonprofits are working together to prevent sucker extinction in the Klamath Basin.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Oregon Encyclopedia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oregon Historical Society","usgsCitation":"Burdick, S.M., 2023, Endangered Klamath suckers, chap. of Oregon Encyclopedia, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-139525","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":413132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":413123,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.oregonencyclopedia.org/articles/klamath-sucker/#.Y-1o3S_MK71"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.0607867403346,\n 42.48583055292471\n ],\n [\n -122.0607867403346,\n 42.2894405748352\n ],\n [\n -121.7919858325015,\n 42.2894405748352\n ],\n [\n -121.7919858325015,\n 42.48583055292471\n ],\n [\n -122.0607867403346,\n 42.48583055292471\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":864440,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70240976,"text":"70240976 - 2023 - Using mercury stable isotope fractionation to identify the contribution of historical mercury mining sources present in downstream water, sediment and fish","interactions":[],"lastModifiedDate":"2023-03-03T16:09:08.618256","indexId":"70240976","displayToPublicDate":"2023-02-09T10:05:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13442,"text":"Frontiers in Environmental Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Using mercury stable isotope fractionation to identify the contribution of historical mercury mining sources present in downstream water, sediment and fish","docAbstract":"

Ecosystems downstream of mercury (Hg) contaminated sites can be impacted by both localized releases as well as Hg deposited to the watershed from atmospheric transport. Identifying the source of Hg in water, sediment, and fish downstream of contaminated sites is important for determining the effectiveness of source-control remediation actions. This study uses measurements of Hg stable isotopes in soil, sediment, water, and fish to differentiate between Hg from an abandoned Hg mine from non-mine-related sources. The study site is located within the Willamette River watershed (Oregon, United States), which includes free-flowing river segments and a reservoir downstream of the mine. The concentrations of total-Hg (THg) in the reservoir fish were 4-fold higher than those further downstream (>90 km) from the mine site in free-flowing sections of the river. Mercury stable isotope fractionation analysis showed that the mine tailings (δ202Hg: −0.36‰ ± 0.03‰) had a distinctive isotopic composition compared to background soils (δ202Hg: −2.30‰ ± 0.25‰). Similar differences in isotopic composition were observed between stream water that flowed through the tailings (particulate bound δ202Hg: −0.58‰; dissolved: −0.91‰) versus a background stream (particle-bound δ202Hg: −2.36‰; dissolved: −2.09‰). Within the reservoir sediment, the Hg isotopic composition indicated that the proportion of the Hg related to mine-release increased with THg concentrations. However, in the fish samples the opposite trend was observed—the degree of mine-related Hg was lower in fish with the higher THg concentrations. While sediment concentrations clearly show the influence of the mine, the relationship in fish is more complicated due to differences in methylmercury (MeHg) formation and the foraging behavior of different fish species. The fish tissue δ13C and Δ199Hg values indicate that there is a higher influence of mine-sourced Hg in fish feeding in a more sediment-based food web and less so in planktonic and littoral-based food webs. Identifying the relative proportion of Hg from local contaminated site can help inform remediation decisions, especially when the relationship between total Hg concentrations and sources do not show similar covariation between abiotic and biotic media.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvc.2023.1096199","usgsCitation":"Eckley, C.S., Eagles-Smith, C., Luxton, T., Hoffman, J.C., and Janssen, S., 2023, Using mercury stable isotope fractionation to identify the contribution of historical mercury mining sources present in downstream water, sediment and fish: Frontiers in Environmental Chemistry, v. 4, 1096199, 11 p., https://doi.org/10.3389/fenvc.2023.1096199.","productDescription":"1096199, 11 p.","ipdsId":"IP-146689","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":444517,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvc.2023.1096199","text":"Publisher Index Page"},{"id":413666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.37949100050008,\n 45.453180681982445\n ],\n [\n -123.61622713639957,\n 45.453180681982445\n ],\n [\n -123.61622713639957,\n 43.717858367382746\n ],\n [\n -122.37949100050008,\n 43.717858367382746\n ],\n [\n -122.37949100050008,\n 45.453180681982445\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2023-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Eckley, Chris S. 0000-0002-6986-4451","orcid":"https://orcid.org/0000-0002-6986-4451","contributorId":246031,"corporation":false,"usgs":false,"family":"Eckley","given":"Chris","email":"","middleInitial":"S.","affiliations":[{"id":39312,"text":"U.S. EPA","active":true,"usgs":false}],"preferred":false,"id":865585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":865586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luxton, Todd P","contributorId":221509,"corporation":false,"usgs":false,"family":"Luxton","given":"Todd P","affiliations":[{"id":40396,"text":"US Environmental Protection Agency, Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":865587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoffman, Joel C.","contributorId":84244,"corporation":false,"usgs":false,"family":"Hoffman","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":865588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":865589,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258158,"text":"70258158 - 2023 - Integration of distributed streamflow measurement metadata for improved water resource decision-making","interactions":[],"lastModifiedDate":"2024-09-05T14:38:03.477734","indexId":"70258158","displayToPublicDate":"2023-02-09T09:35:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Integration of distributed streamflow measurement metadata for improved water resource decision-making","docAbstract":"

Streamflow data are critical for monitoring and managing water resources, yet there are significant spatial gaps in our federal monitoring networks with biases toward large perennial rivers. In some cases, streamflow monitoring exists in these spatial gaps, but information about these monitoring locations is challenging to obtain. Here, we present a streamflow catalog for the United States Pacific Northwest that includes current and historical streamflow monitoring location information obtained from 32 organizations (other than the U.S. Geological Survey), which includes 2661 continuous streamflow gaging locations (22% are currently active) and 30,557 discrete streamflow measurements. A stakeholder advisory board with representatives from organizations that operate streamflow monitoring networks identified metadata requirements and provided feedback on the Streamflow Data Catalog user interface. Engagement with the water resources community through this effort highlighted challenges that water professionals face in collecting and managing streamflow data so that data are findable, accessible, interoperable, and reusable (FAIR). Over 60% of the streamflow monitoring locations in the Streamflow Data Catalog are not available online and are thus not findable through web search engines. Providing organizations technical assistance with standard measurement procedures, metadata collection, and web accessibility could substantially increase the availability and utility of streamflow information to water resources communities.

","language":"English","publisher":"MDPI","doi":"10.3390/w15040679","usgsCitation":"Kaiser, K.E., Blasch, K.W., and Schmitz, S., 2023, Integration of distributed streamflow measurement metadata for improved water resource decision-making: Water, v. 15, no. 4, 679, 11 p., https://doi.org/10.3390/w15040679.","productDescription":"679, 11 p.","ipdsId":"IP-148240","costCenters":[{"id":65563,"text":"Northwest Pacific Islands Regional Director's Office","active":true,"usgs":true}],"links":[{"id":444520,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15040679","text":"Publisher Index Page"},{"id":433499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Kaiser, Kendra E. 0000-0003-1773-6236","orcid":"https://orcid.org/0000-0003-1773-6236","contributorId":211475,"corporation":false,"usgs":false,"family":"Kaiser","given":"Kendra","email":"","middleInitial":"E.","affiliations":[{"id":38255,"text":"Boise State Unviersity","active":true,"usgs":false}],"preferred":false,"id":912398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blasch, Kyle W. 0000-0002-0590-0724","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":203415,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":912399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmitz, Steven","contributorId":343922,"corporation":false,"usgs":false,"family":"Schmitz","given":"Steven","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":912400,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70241863,"text":"70241863 - 2023 - Pressurized upflow reactor system for the bioconversion of coal to methane: Investigation of the coal/sand interface effect","interactions":[],"lastModifiedDate":"2023-03-29T11:49:22.107524","indexId":"70241863","displayToPublicDate":"2023-02-09T06:47:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13781,"text":"Cleaner Chemical Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Pressurized upflow reactor system for the bioconversion of coal to methane: Investigation of the coal/sand interface effect","docAbstract":"

Microbial generation of coal bed methane (CBM) represents a significant source of natural gas on Earth. While biostimulation has been demonstrated in batch cultures, environmental parameters such as overburden pressure and formation water flow need to be tested at the laboratory scale to understand in situ potential. We designed and constructed a high-pressure (HP) flow-through reactor system that simulates in situ conditions of underground coal seams. Two stainless-steel columns contained coal from the Powder River Basin (PRB), USA, or a coal/sand mixture to represent the interface of coal seams with sandstone layers, which are hypothesized to exhibit higher methanogenesis rates in situ. The system was filled with CBM formation water, inoculated with a methanogenic enrichment from PRB coal beds, and stimulated with algal biomass as a nutrient. The reactors were incubated under pressure (5.4 atm) and flow of CBM water (0.01 mL/min), and control batch cultures were incubated at ambient pressure and without flow (± amendment). Dissolved and headspace methane concentrations were analyzed over time by gas chromatography for 75 days. The pressurized reactors exhibited longer latency periods than ambient pressure controls, but methane production did not reach a plateau phase, which might reflect the impact of scale on the inoculum. The coal/sand reactor exhibited higher methane production than the coal-only reactor, a pattern also observed in the corresponding controls, suggesting an interface effect on methanogenesis. This study indicates that the HP flow test system we designed is well suited for the study of methanogenesis and provides a successful demonstration of CBM generation from the PRB in field-relevant laboratory conditions as a precursor to meso‑scale demonstrations.

","language":"English","publisher":"Wlsevier","doi":"10.1016/j.clce.2023.100099","usgsCitation":"Mesle, M., Hodgskiss, L.H., Barnhart, E.P., Dobeck, L., Eldring, J., Hiebert, R., Cunningham, A.B., Gerlach, R., Phillips, A., and Fields, M.W., 2023, Pressurized upflow reactor system for the bioconversion of coal to methane: Investigation of the coal/sand interface effect: Cleaner Chemical Engineering, v. 5, 100099, 9 p., https://doi.org/10.1016/j.clce.2023.100099.","productDescription":"100099, 9 p.","ipdsId":"IP-141423","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":444525,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.clce.2023.100099","text":"Publisher Index Page"},{"id":414883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mesle, Margaux","contributorId":303750,"corporation":false,"usgs":false,"family":"Mesle","given":"Margaux","email":"","affiliations":[{"id":41008,"text":"Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":867999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgskiss, Logan H.","contributorId":175445,"corporation":false,"usgs":false,"family":"Hodgskiss","given":"Logan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":868000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":868006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobeck, Laura","contributorId":303751,"corporation":false,"usgs":false,"family":"Dobeck","given":"Laura","email":"","affiliations":[{"id":41008,"text":"Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":868001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eldring, Joachim","contributorId":303752,"corporation":false,"usgs":false,"family":"Eldring","given":"Joachim","email":"","affiliations":[{"id":41008,"text":"Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":868002,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hiebert, Randy","contributorId":303753,"corporation":false,"usgs":false,"family":"Hiebert","given":"Randy","email":"","affiliations":[{"id":65900,"text":"Montana Emergent Technologies, Butte, MT","active":true,"usgs":false}],"preferred":false,"id":868003,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cunningham, Alfred B.","contributorId":172389,"corporation":false,"usgs":false,"family":"Cunningham","given":"Alfred","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":868004,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gerlach, Robin","contributorId":203247,"corporation":false,"usgs":false,"family":"Gerlach","given":"Robin","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":868005,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Phillips, Adrienne","contributorId":279496,"corporation":false,"usgs":false,"family":"Phillips","given":"Adrienne","email":"","affiliations":[{"id":41008,"text":"Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":868007,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fields, Matthew W.","contributorId":172391,"corporation":false,"usgs":false,"family":"Fields","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":868008,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70240637,"text":"70240637 - 2023 - A comparison of direct & indirect survey methods for estimating colonial nesting waterbird populations","interactions":[],"lastModifiedDate":"2023-02-10T13:08:59.72308","indexId":"70240637","displayToPublicDate":"2023-02-08T07:04:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of direct & indirect survey methods for estimating colonial nesting waterbird populations","docAbstract":"

Population estimates derived from monitoring efforts can be sensitive to the survey method selected, potentially leading to biased estimates and low precision relative to true population size. While small unmanned aerial systems (UAS) present a unique opportunity to survey avian populations while limiting disturbance, relatively little is known about how this method compares with more traditional approaches. In this study we compared population estimates of Snowy (Egretta thula) and Cattle Egrets (Bubulcus ibis) in a mixed-species colony in the Chesapeake Bay (Maryland, USA) derived from UAS photo counts, flush counts, flight-line surveys, and in-colony nest counts along with the time required to derive an estimate via each approach. We found that UAS counts and flush counts produced lower pair estimates than nest counts and flight-line surveys (P < 0.05), and required dramatically less time (x̄ = 6, 8, 84 and 90 min, respectively). These results suggest that while UAS have the potential to collect valuable survey data from breeding colonies that are hard to reach or are especially sensitive to the disturbance inherent in other methods, inherent biases should be considered and caution should be used when comparing results between survey types.

","language":"English","publisher":"Waterbird Society","doi":"10.1675/063.045.0209","usgsCitation":"Prosser, D.J., Sullivan, J.D., Gilbert, C.J., Brinker, D.F., McGowan, P.C., Callahan, C.R., Hutzell, B., and Smith, L.E., 2023, A comparison of direct & indirect survey methods for estimating colonial nesting waterbird populations: Waterbirds, v. 45, no. 2, p. 189-198, https://doi.org/10.1675/063.045.0209.","productDescription":"10 p.","startPage":"189","endPage":"198","ipdsId":"IP-122619","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":435461,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94M6F3B","text":"USGS data release","linkHelpText":"Comparing various survey methods for estimating the number of colonial nesting white egret pairs"},{"id":412939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.00285371620147,\n 39.79275185106093\n ],\n [\n -77.00285371620147,\n 38.008736688816526\n ],\n [\n -75.58780656346048,\n 38.008736688816526\n ],\n [\n -75.58780656346048,\n 39.79275185106093\n ],\n [\n -77.00285371620147,\n 39.79275185106093\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"45","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":864048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":864049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilbert, Christopher J.","contributorId":293525,"corporation":false,"usgs":false,"family":"Gilbert","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":864050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinker, David F.","contributorId":207103,"corporation":false,"usgs":false,"family":"Brinker","given":"David","email":"","middleInitial":"F.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":864055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":864051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Callahan, Carl R.","contributorId":205289,"corporation":false,"usgs":false,"family":"Callahan","given":"Carl","email":"","middleInitial":"R.","affiliations":[{"id":37073,"text":"USFWS, Annapolis MD","active":true,"usgs":false}],"preferred":false,"id":864052,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hutzell, Ben","contributorId":293526,"corporation":false,"usgs":false,"family":"Hutzell","given":"Ben","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":864053,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Laurence E.","contributorId":293527,"corporation":false,"usgs":false,"family":"Smith","given":"Laurence","email":"","middleInitial":"E.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":864054,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70240672,"text":"70240672 - 2023 - eDNA Metabarcoding Analyses of Diet in Yellow-Billed Loons of Northern Alaska","interactions":[],"lastModifiedDate":"2023-02-14T13:02:06.372886","indexId":"70240672","displayToPublicDate":"2023-02-08T06:57:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"eDNA Metabarcoding Analyses of Diet in Yellow-Billed Loons of Northern Alaska","docAbstract":"

Environmental DNA is a burgeoning tool used to address wide-ranging scientific questions, including determining diets of difficult-to-sample predators. Loons are large piscivorous diving birds that capture and consume prey underwater, making it nearly impossible to visually determine their diet via observation alone. Identifying species' diets is important for understanding basic life history traits, and revealing key prey species can clarify species' roles in complex trophic webs, aid in understanding population and community dynamics, and help identify critical habitat for protection. Current information about loon diet is largely anecdotal, and traditional non-observational methods for quantifying loon diet have limitations. Analysis of eDNA from loon feces may provide biologists with a non-invasive technique for determining diet without negative sampling effects, and with increased resolution as compared to other techniques. We surveyed lakes in two areas of northern Alaska for Yellow-billed Loons (Gavia adamsii). Loon fecal samples were collected opportunistically from latrine sites without disturbing any animals and analyzed using novel marker sets to determine loon species and diet. Fish species were detected in all fecal samples, the most common being Alaska blackfish (Dallia pectoralis), and ninespine stickleback (Pungitius pungitius). This research demonstrates that eDNA metabarcoding analyses of loon fecal samples can determine the specific loon species that deposited the feces and characterize the piscine portion of their diet with limited disturbance to the animals.

","language":"English","publisher":"BioOne","doi":"10.1675/063.045.0206","usgsCitation":"Menning, D.M., Uher-Koch, B.D., Flamme, M.J., Simmons, T., Schmutz, J., and Talbot, S., 2023, eDNA Metabarcoding Analyses of Diet in Yellow-Billed Loons of Northern Alaska: Waterbirds, v. 45, no. 2, p. 159-166, https://doi.org/10.1675/063.045.0206.","productDescription":"8 p.","startPage":"159","endPage":"166","ipdsId":"IP-120624","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":435462,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VMYY4J","text":"USGS data release","linkHelpText":"Gavia Species Identification and Diet Composition from Feces, Central North Slope, Alaska, 2012-2014"},{"id":413042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -158.06202980568528,\n 71.43299923512149\n ],\n [\n -158.06202980568528,\n 69.63367046649975\n ],\n [\n -150.7702046250785,\n 69.63367046649975\n ],\n [\n -150.7702046250785,\n 71.43299923512149\n ],\n [\n -158.06202980568528,\n 71.43299923512149\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"45","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Menning, Damian M. 0000-0003-3547-3062 dmenning@usgs.gov","orcid":"https://orcid.org/0000-0003-3547-3062","contributorId":205131,"corporation":false,"usgs":true,"family":"Menning","given":"Damian","email":"dmenning@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":864230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":864231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flamme, Melanie J.","contributorId":200585,"corporation":false,"usgs":false,"family":"Flamme","given":"Melanie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":864232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simmons, Trey","contributorId":211686,"corporation":false,"usgs":false,"family":"Simmons","given":"Trey","email":"","affiliations":[],"preferred":false,"id":864233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel 0000-0002-6516-0836","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":264776,"corporation":false,"usgs":false,"family":"Schmutz","given":"Joel","affiliations":[{"id":54549,"text":"retired from USGS Alaska Science Center","active":true,"usgs":false}],"preferred":false,"id":864234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbot, Sandra","contributorId":291357,"corporation":false,"usgs":false,"family":"Talbot","given":"Sandra","affiliations":[{"id":40349,"text":"USGS Alaska Science Center (former employee)","active":true,"usgs":false}],"preferred":false,"id":864235,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256508,"text":"70256508 - 2023 - Bluegill population demographics as related to abiotic and biotic factors in Florida lakes","interactions":[],"lastModifiedDate":"2024-08-20T16:53:45.611917","indexId":"70256508","displayToPublicDate":"2023-02-07T11:50:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6476,"text":"Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Bluegill population demographics as related to abiotic and biotic factors in Florida lakes","docAbstract":"

Research on Bluegills, Lepomis macrochirus R., is abundant but typically focuses on water bodies with similar environmental conditions. We assessed Bluegill density, relative abundance (catch per unit effort [CPUE] by electrofishing), growth, and size structure in 60 lakes with wide-ranging surface areas (2–12,412 ha), trophic states (oligotrophic–hypereutrophic), and macrophyte abundances (0.3–100 percent of lake volume inhabited [PVI]) across Florida, USA. Bluegill density and CPUE increased with lake productivity and decreased with macrophyte abundance. Bluegill growth increased with lake productivity and CPUE of stock-length Florida Bass, Micropterus floridanus L., a Bluegill predator. Bluegill size structure increased with lake productivity and decreased with Bluegill density. Results indicate that Bluegill fisheries with abundant individuals of quality size (≥150 mm) require productive (>25 μg/L chlorophyll-a concentration) lakes with moderate to high macrophyte coverage (PVI 50–100), abundant stock-length Florida Bass (>40 fish/h of electrofishing), and Bluegill densities <300 fish/ha. This study provides an approach to predict Bluegill population demographics based on abiotic and biotic factors, establish fisheries management expectations, and develop regional and lake-specific management tools.

","language":"English","publisher":"MDPI","doi":"10.3390/fishes8020100","usgsCitation":"Carlson, A.K., and Hoyer, M.V., 2023, Bluegill population demographics as related to abiotic and biotic factors in Florida lakes: Fishes, v. 8, no. 2, 100, 19 p., https://doi.org/10.3390/fishes8020100.","productDescription":"100, 19 p.","ipdsId":"IP-139048","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":444546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fishes8020100","text":"Publisher Index Page"},{"id":432951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":10,\"properties\":{\"name\":\"Florida\",\"nation\":\"USA 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Andrew Kenneth 0000-0002-6681-0853","orcid":"https://orcid.org/0000-0002-6681-0853","contributorId":340581,"corporation":false,"usgs":true,"family":"Carlson","given":"Andrew","email":"","middleInitial":"Kenneth","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoyer, Mark V.","contributorId":340952,"corporation":false,"usgs":false,"family":"Hoyer","given":"Mark","email":"","middleInitial":"V.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907727,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70255215,"text":"70255215 - 2023 - Anthropogenic subsidies influence resource use during a mange epizootic in a desert coyote population","interactions":[],"lastModifiedDate":"2024-06-14T13:48:23.751212","indexId":"70255215","displayToPublicDate":"2023-02-07T08:43:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic subsidies influence resource use during a mange epizootic in a desert coyote population","docAbstract":"

Colonization of urban areas by synanthropic wildlife introduces novel and complex alterations to established ecological processes, including the emergence and spread of infectious diseases. Aggregation at urban resources can increase disease transfer, with wide-ranging species potentially infecting outlying populations. The garrison at the National Training Center, Fort Irwin, California, USA, was recently colonized by mange-infected coyotes (Canis latrans) that also use the surrounding Mojave Desert. This situation provided an ideal opportunity to examine the effects of urban resources on disease dynamics. We evaluated seasonal space use and determined the influence of anthropogenic subsidies, water sources, and prey density on urban resource selection. We found no difference in home range size between healthy and infected individuals, but infected residents had considerably more spatial overlap with one another than healthy residents. All coyotes selected for anthropogenic subsidies during all seasons, while infected coyotes seasonally selected for urban water sources, and healthy coyotes seasonally selected for urban areas with greater densities of natural prey. These results suggest that while all coyotes were selecting for anthropogenic subsidies, infected resident coyotes demonstrated a greater tolerance for other conspecifics, which could be facilitating the horizontal transfer of sarcoptic mange to non-resident coyotes. Conversely, healthy coyotes also selected for natural prey and healthy residents exhibited a lack of spatial overlap with other coyotes suggesting they were not reliant on anthropogenic subsidies and were maintaining territories. Understanding the association between urban wildlife, zoonotic diseases, and urban resources can be critical in determining effective responses for mitigating future epizootics.

","language":"English","publisher":"Springer","doi":"10.1007/s00442-023-05328-7","usgsCitation":"Reddell, C.D., Roemer, G.W., Delaney, D., Karish, T., and Cain, J.W., 2023, Anthropogenic subsidies influence resource use during a mange epizootic in a desert coyote population: Oecologia, v. 201, p. 435-447, https://doi.org/10.1007/s00442-023-05328-7.","productDescription":"13 p.","startPage":"435","endPage":"447","ipdsId":"IP-137129","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Fort Irwin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.2032931867908,\n 35.658455114584214\n ],\n [\n -117.2032931867908,\n 34.96919321548317\n ],\n [\n -116.06067559317455,\n 34.96919321548317\n ],\n [\n -116.06067559317455,\n 35.658455114584214\n ],\n [\n -117.2032931867908,\n 35.658455114584214\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"201","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Reddell, Craig D.","contributorId":276276,"corporation":false,"usgs":false,"family":"Reddell","given":"Craig","email":"","middleInitial":"D.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":903747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roemer, Gary W.","contributorId":273109,"corporation":false,"usgs":false,"family":"Roemer","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":903748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delaney, David K.","contributorId":276280,"corporation":false,"usgs":false,"family":"Delaney","given":"David K.","affiliations":[],"preferred":false,"id":903749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karish, Talesha","contributorId":337900,"corporation":false,"usgs":false,"family":"Karish","given":"Talesha","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":903750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903751,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70242017,"text":"70242017 - 2023 - Six years of fluvial response to a large dam removal on the Carmel River, California, USA","interactions":[],"lastModifiedDate":"2023-06-27T16:51:13.29324","indexId":"70242017","displayToPublicDate":"2023-02-07T08:17:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Six years of fluvial response to a large dam removal on the Carmel River, California, USA","docAbstract":"

Measuring river response to dam removal affords a rare, important opportunity to study fluvial response to sediment pulses on a large field scale. We present a before–after/control–impact study of the Carmel River, California, measuring fluvial geomorphic and grain-size evolution over 8 years, six of which postdated removal of a 32 m-high dam (one of the largest dams removed worldwide) and included 11 flow events exceeding the 2-year flood magnitude. We find that the reservoir-sediment pulse following dam removal was relatively small (97 000 ± 24 000 t over 4 years), owing to deliberate reservoir-sediment stabilization. Scaled to the size of the Carmel River watershed and compared against long-term bedrock denudation rates, the post-dam-removal sediment release was slightly less than the annualized long-term sediment export from this basin. New sediment transited >30 km to the river mouth in less than 2 years, assisted by floods 2 and 4 years after dam removal. The sediment pulse fined the downstream riverbed while causing mostly low-magnitude bed-elevation changes: commonly 0.5 to 1 m or smaller, occurring as discontinuous sediment patches or interstitial deposits, aside from the filling and subsequent partial scour of deep pools. There was no major geomorphic reset downstream from the dam site. Geomorphic changes were driven almost entirely by flow rather than by the modest increase in sediment supply, in contrast to recent examples from other large dam removals. The relatively minor disturbance caused by dam removal on the Carmel River is likely analogous to many future dam removals: a relatively small sediment pulse after deliberate limitation of reservoir-sediment erosion, and with an upstream dam remaining in place. Thus, a large dam removal need not lead to major downstream impacts.

","language":"English","publisher":"Wiley","doi":"10.1002/esp.5561","usgsCitation":"East, A.E., Harrison, L.R., Smith, D.P., Logan, J.B., and Bond, R., 2023, Six years of fluvial response to a large dam removal on the Carmel River, California, USA: Earth Surface Processes and Landforms, v. 48, no. 8, p. 1487-1501, https://doi.org/10.1002/esp.5561.","productDescription":"15 p.","startPage":"1487","endPage":"1501","ipdsId":"IP-146182","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444561,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5561","text":"Publisher Index Page"},{"id":415160,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Carmel River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.62577522165773,\n 36.36105374788829\n ],\n [\n -121.58724434610056,\n 36.40905968854021\n ],\n [\n -121.61843600726598,\n 36.46293870830412\n ],\n [\n -121.750541866319,\n 36.53594773620604\n ],\n [\n -121.8532908678046,\n 36.61551540625254\n ],\n [\n -121.90741757394426,\n 36.588265345279865\n ],\n [\n -121.93261880515863,\n 36.54806169091083\n ],\n [\n -121.88413981443409,\n 36.520771377870034\n ],\n [\n -121.79850327393265,\n 36.50047233869989\n ],\n [\n -121.7839886060512,\n 36.469663631874326\n ],\n [\n -121.74712134963194,\n 36.40894399256348\n ],\n [\n -121.68209557572075,\n 36.36804816657221\n ],\n [\n -121.62606895769773,\n 36.3610353099688\n ],\n [\n -121.62577522165773,\n 36.36105374788829\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Lee R.","contributorId":174322,"corporation":false,"usgs":false,"family":"Harrison","given":"Lee","email":"","middleInitial":"R.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":868545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Douglas P.","contributorId":201716,"corporation":false,"usgs":false,"family":"Smith","given":"Douglas","email":"","middleInitial":"P.","affiliations":[{"id":35924,"text":"California State University, Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":868546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Logan, Joshua B. 0000-0002-6191-4119 jlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-6191-4119","contributorId":2335,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua","email":"jlogan@usgs.gov","middleInitial":"B.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bond, Rosealea","contributorId":201717,"corporation":false,"usgs":false,"family":"Bond","given":"Rosealea","affiliations":[{"id":12520,"text":"NOAA National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":868548,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240939,"text":"70240939 - 2023 - Increasing Alaskan river discharge during the cold season is driven by recent warming","interactions":[],"lastModifiedDate":"2023-03-02T13:22:05.643107","indexId":"70240939","displayToPublicDate":"2023-02-07T07:19:43","publicationYear":"2023","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":"Increasing Alaskan river discharge during the cold season is driven by recent warming","docAbstract":"

Arctic hydrology is experiencing rapid changes including earlier snow melt, permafrost degradation, increasing active layer depth, and reduced river ice, all of which are expected to lead to changes in stream flow regimes. Recently, long-term (>60 years) climate reanalysis and river discharge observation data have become available. We utilized these data to assess long-term changes in discharge and their hydroclimatic drivers. River discharge during the cold season (October–April) increased by 10% per decade. The most widespread discharge increase occurred in April (15% per decade), the month of ice break-up for the majority of basins. In October, when river ice formation generally begins, average monthly discharge increased by 7% per decade. Long-term air temperature increases in October and April increased the number of days above freezing (+1.1 d per decade) resulting in increased snow ablation (20% per decade) and decreased snow water equivalent (−12% per decade). Compared to the historical period (1960–1989), mean April and October air temperature in the recent period (1990–2019) have greater correlation with monthly discharge from 0.33 to 0.68 and 0.0–0.48, respectively. This indicates that the recent increases in air temperature are directly related to these discharge changes. Ubiquitous increases in cold and shoulder-season discharge demonstrate the scale at which hydrologic and biogeochemical fluxes are being altered in the Arctic.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/acb661","usgsCitation":"Blaskey, D., Koch, J.C., Gooseff, M., Newman, A.C., Cheng, Y., O’Donnell, J.A., and Musselman, K., 2023, Increasing Alaskan river discharge during the cold season is driven by recent warming: Environmental Research Letters, v. 18, no. 2, 024042, 12 p., https://doi.org/10.1088/1748-9326/acb661.","productDescription":"024042, 12 p.","ipdsId":"IP-146328","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":444564,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/acb661","text":"Publisher Index Page"},{"id":413614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -140.80269683804968,\n 69.90708872520639\n ],\n [\n -148.88520185751725,\n 71.02309718987036\n ],\n [\n -155.5620538301211,\n 71.53067530491455\n ],\n [\n -161.00895938671903,\n 71.02309718987036\n ],\n [\n -166.9829848358909,\n 69.04477255284121\n ],\n [\n -168.74005114447075,\n 65.596108528327\n ],\n [\n -167.33439809760677,\n 64.78518663988115\n ],\n [\n -166.45586494331695,\n 63.24598779081114\n ],\n [\n -167.51010472846482,\n 61.284285987379945\n ],\n [\n -167.51010472846482,\n 59.37133444177681\n ],\n [\n -162.94173232615697,\n 58.464280389404564\n ],\n [\n -163.99597211130484,\n 55.597485466387496\n ],\n [\n -169.44287766790276,\n 53.561315965353174\n ],\n [\n -169.0914644061869,\n 52.71814782604147\n ],\n [\n -163.29314558787283,\n 53.97671165644215\n ],\n [\n -153.6292808906832,\n 56.28627445825995\n ],\n [\n -147.8309620723694,\n 59.72751943182155\n ],\n [\n -142.55976314662954,\n 59.99219353855369\n ],\n [\n -134.12584486544583,\n 55.398433011938096\n ],\n [\n -132.01736529514983,\n 52.824449925968395\n ],\n [\n -130.6117122482858,\n 54.997303115736514\n ],\n [\n -131.13883214085976,\n 56.38367498879066\n ],\n [\n -135.53149791230982,\n 59.99219353855369\n ],\n [\n -136.5857376974577,\n 59.10171681014367\n ],\n [\n -141.15411009976555,\n 60.68775388587548\n ],\n [\n -140.80269683804968,\n 69.90708872520639\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Blaskey, D","contributorId":302754,"corporation":false,"usgs":false,"family":"Blaskey","given":"D","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":865371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":865372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gooseff, M.","contributorId":201026,"corporation":false,"usgs":false,"family":"Gooseff","given":"M.","email":"","affiliations":[],"preferred":false,"id":865373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, A. C. 0000-0001-6621-2717","orcid":"https://orcid.org/0000-0001-6621-2717","contributorId":211589,"corporation":false,"usgs":false,"family":"Newman","given":"A.","email":"","middleInitial":"C.","affiliations":[{"id":38269,"text":"Aarhus, Denmark","active":true,"usgs":false}],"preferred":false,"id":865374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cheng, Yang","contributorId":211352,"corporation":false,"usgs":false,"family":"Cheng","given":"Yang","email":"","affiliations":[],"preferred":false,"id":865375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":865376,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Musselman, K","contributorId":302756,"corporation":false,"usgs":false,"family":"Musselman","given":"K","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":865377,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70240733,"text":"70240733 - 2023 - Stabilising effects of karstic groundwater on stream fish communities","interactions":[],"lastModifiedDate":"2023-06-09T15:07:23.012484","indexId":"70240733","displayToPublicDate":"2023-02-07T06:52:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Stabilising effects of karstic groundwater on stream fish communities","docAbstract":"

Although groundwater exchange processes are known to modulate atmospheric influences on stream temperature and flow, the implications for ecological stability are poorly understood. Here, we evaluated temporal change in stream fish communities across a gradient of groundwater influence defined by karst terrain (carbonate parent materials) within the Potomac River basin of eastern North America. We surveyed 12 sites in 2022 that had been sampled 29–30 years previously with similar methods. We also collected stream temperature data from each site and used the regression slope of the air-water temperature relationship to index stream thermal sensitivity and groundwater exchange processes. Sites in karst terrain exhibited strong groundwater controls on stream temperature, and fish communities were more stable over time in these locations than elsewhere. However, stream thermal sensitivity was a stronger predictor of species persistence than the spatial distribution of karst terrain in contributing areas, highlighting the ecological importance of local variation in groundwater discharge processes. The presence of calcium precipitates (marl) in stream substrates was associated with low thermal sensitivity and ecological stability over time, and we suggest such visible features may be a useful indicator of climate change refugia in stream ecosystems.

","language":"English","publisher":"Wiley","doi":"10.1111/eff.12705","usgsCitation":"Hitt, N.P., Rogers, K.M., Kessler, K.G., Briggs, M., and Fair, J.H., 2023, Stabilising effects of karstic groundwater on stream fish communities: Ecology of Freshwater Fish, v. 32, no. 3, p. 538-551, https://doi.org/10.1111/eff.12705.","productDescription":"14 p.","startPage":"538","endPage":"551","ipdsId":"IP-147077","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":444573,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12705","text":"Publisher Index Page"},{"id":413165,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":864580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Karli M. 0000-0002-6188-7405","orcid":"https://orcid.org/0000-0002-6188-7405","contributorId":237955,"corporation":false,"usgs":true,"family":"Rogers","given":"Karli","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":864581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kessler, Karmann G. 0000-0001-5681-4909","orcid":"https://orcid.org/0000-0001-5681-4909","contributorId":242765,"corporation":false,"usgs":true,"family":"Kessler","given":"Karmann","email":"","middleInitial":"G.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":864582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":864583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":864584,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240262,"text":"sir20225128 - 2023 - Groundwater quality near the Montebello Oil Field, Los Angeles County, California","interactions":[],"lastModifiedDate":"2023-09-18T19:56:22.528962","indexId":"sir20225128","displayToPublicDate":"2023-02-06T13:11:18","publicationYear":"2023","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":"2022-5128","displayTitle":"Groundwater Quality Near the Montebello Oil Field, Los Angeles County, California","title":"Groundwater quality near the Montebello Oil Field, Los Angeles County, California","docAbstract":"

Groundwater quality and potential sources and migration pathways of chemical constituents associated with hydrocarbon-bearing formations were assessed by the U.S. Geological Survey for the California State Water Resources Control Board Oil and Gas Regional Monitoring Program (RMP). Groundwater samples were collected as part of the RMP from 21 preexisting wells used for public supply, monitoring, or irrigation in and near the Montebello Oil Field and analyzed for constituents associated with hydrocarbon-bearing formations and constituents used to identify recently recharged groundwater and older groundwater. The newly collected RMP data were supplemented with historical sample data from 849 groundwater wells and analyzed with respect to explanatory factors that have the potential to influence water quality. Potential sources and migration pathways of fluids (water, gas, or oil) from hydrocarbon-bearing formations that could affect groundwater quality in the Montebello Oil Field include large volumes of recycled produced water (water withdrawn from an oil well and brought to the surface that may include oil, water, and gas from the geologic formation and water or gas injected for enhanced recovery) that have been reinjected since the 1960s to enhance oil production, oil and gas wells with well-integrity issues, and oil and gas wells with an uncemented annulus that intersects groundwater resource zones.
Trace amounts of dissolved petroleum hydrocarbons, thermogenic gas (propane through pentane range), or both, were detected in seven groundwater samples collected in 2014 and 2018 as part of the RMP. Five of those samples also contained manufactured volatile organic compounds and at least some modern-age groundwater (recharged during or after 1953), indicating that the hydrocarbons could have originated from surficial, or shallow, sources unrelated to oil and gas development. Two samples contained low concentrations of petroleum hydrocarbons (less than 0.1 microgram per liter) and did not contain detections of manufactured volatile organic compounds in pre-modern groundwater. These samples were collected from relatively deep wells (greater than 140 meters below land surface) with perforations completed in marine sediments that may contain water with similar compositions to produced water.
The RMP sample results and available historical data in and near the Montebello Oil Field did not provide conclusive evidence that oil and gas development has adversely affected groundwater resources. All samples with detectable petroleum hydrocarbons, thermogenic gases, or both, were collected from sites that also are within 500 meters of anthropogenic hydrocarbon sources not associated with oil and gas development or sources. In addition, naturally occurring sources of hydrocarbons that exist at intervals shallower than, or are in areas outside of, economically productive oil- and gas-producing zones could affect groundwater quality.
A definitive analysis of relations of groundwater quality to potential anthropogenic and natural explanatory factors was not possible because of the low density of new and historical sampling data, particularly in parts of the Montebello Oil Field where the largest relative risks to groundwater from hydrocarbon-bearing formations exist. Areas to consider for more detailed monitoring and analysis in the future that may present the largest relative potential risks to groundwater quality include (1) areas downgradient from historical surface ponds and sumps and (2) areas with co-located high net injection (oil reservoir injection exceeds production), old oil and gas wells that may be more likely to develop well-integrity issues than newer wells, and oil and gas wells with uncemented boreholes intersecting groundwater zones. To help fill gaps resulting from sparse groundwater wells, temperature and resistivity borehole log data could be analyzed to locate anomalies that identify potential areas where relatively warm or saline water from deeper hydrocarbon-bearing formations is present in groundwater.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225128","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Stanton, J.S., Land, M., Landon, M.K., Shimabukuro, D.H., McMahon, P.B., Davis, T.A., Hunt, A.G., and Sowers, T.A., 2023, Groundwater quality near the Montebello Oil Field, Los Angeles County, California: U.S. Geological Survey Scientific Investigations Report 2022–5128, 80 p., https://doi.org/10.3133/sir20225128.","productDescription":"Report: ix, 80 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-128118","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":412628,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FZ2SBH","text":"USGS data release","description":"USGS data release","linkHelpText":"Water chemistry data for samples collected at groundwater sites in the Montebello Oil Field study area, September 2014–October 2018, Los Angeles County, California"},{"id":412629,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5128/images"},{"id":412627,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225128/full","text":"Reports","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5128"},{"id":412626,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5128/sir20225128.pdf","text":"Report","size":"5.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5128"},{"id":412625,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5128/coverthb.jpg"},{"id":412630,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5128/sir20225128.XML"}],"country":"United States","state":"California","otherGeospatial":"Montebello Oil Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.12,\n 34.04\n ],\n [\n -118.12,\n 34.00\n ],\n [\n -118.02,\n 34.00\n ],\n [\n -118.02,\n 34.04\n ],\n [\n -118.12,\n 34.04\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819

","tableOfContents":"","publishedDate":"2023-02-06","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanton, Jennifer S. 0000-0002-2520-753X jstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-2520-753X","contributorId":830,"corporation":false,"usgs":true,"family":"Stanton","given":"Jennifer","email":"jstanton@usgs.gov","middleInitial":"S.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Land, Michael 0000-0001-5141-0307 mtland@usgs.gov","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":171938,"corporation":false,"usgs":true,"family":"Land","given":"Michael","email":"mtland@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":863144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Tracy A. 0000-0003-0253-6661 tadavis@usgs.gov","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":2715,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy","email":"tadavis@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":863146,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":863147,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sowers, Theron A. 0000-0002-3208-5411","orcid":"https://orcid.org/0000-0002-3208-5411","contributorId":301944,"corporation":false,"usgs":false,"family":"Sowers","given":"Theron A.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":863148,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70256526,"text":"70256526 - 2023 - Predicting habitat and distribution of an interior highlands regional endemic winter stonefly (Allocapnia mohri) in Arkansas using random forest models","interactions":[],"lastModifiedDate":"2024-08-22T11:07:08.990132","indexId":"70256526","displayToPublicDate":"2023-02-06T11:29:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18324,"text":"Hydrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting habitat and distribution of an interior highlands regional endemic winter stonefly (Allocapnia mohri) in Arkansas using random forest models","docAbstract":"

Stoneflies are a globally threatened aquatic insect order. In Arkansas, a diverse group of winter stonefly (Capniidae: Allocapnia) have not been surveyed since the 1980s, likely because species-level identification requires the rarely-collected adult form. Allocapnia mohri, a regional endemic, was previously commonly found in mountainous, intermittent streams from the Ouachita Mountains ecoregion north to the Ozark Highlands, but no species distributional models including land use or climate variables exist to our knowledge. We collected adults from 71 stream reaches from the historic Arkansas range from November to April 2020 and 2021. We modeled distributions using random forest (RF) models populated with landscape, climate, and both data to determine which were most predictive of species presence. Correlations between landscape or climate variables and presence were examined using multiple logistic regression. The landscape RF models performed better than the climate or landscape + climate RF models. A. mohri presence sites tended to have a greater elevation, a lower mean July temperature, and a greater percentage of very slow infiltration soils in the watershed, compared to absence sites. A. mohri was absent at the Ouachita Mountains sites and may be experiencing a range contraction or migration northward.

","language":"English","publisher":"MDPI","doi":"10.3390/hydrobiology2010013","usgsCitation":"Annaratone, B., Larson, C., Prater, C., Dowling, A., Magoulick, D.D., and Evans-White, M.A., 2023, Predicting habitat and distribution of an interior highlands regional endemic winter stonefly (Allocapnia mohri) in Arkansas using random forest models: Hydrobiology, v. 2, no. 1, p. 196-211, https://doi.org/10.3390/hydrobiology2010013.","productDescription":"16 p.","startPage":"196","endPage":"211","ipdsId":"IP-148164","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":444581,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrobiology2010013","text":"Publisher Index Page"},{"id":433011,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.01694463644638,\n 36.49973760721201\n ],\n [\n -94.64880267254001,\n 36.47406350173745\n ],\n [\n -94.42836217709565,\n 35.38954127077116\n ],\n [\n -94.47263609475836,\n 33.690237372303145\n ],\n [\n -93.92329526083718,\n 33.50875350986783\n ],\n [\n -93.15882305498532,\n 33.95704519399207\n ],\n [\n -92.44070215460535,\n 34.644196725743356\n ],\n [\n -91.1183522293626,\n 35.76377161713451\n ],\n [\n -91.01694463644638,\n 36.49973760721201\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Annaratone, Brianna","contributorId":341024,"corporation":false,"usgs":false,"family":"Annaratone","given":"Brianna","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Camryn","contributorId":341025,"corporation":false,"usgs":false,"family":"Larson","given":"Camryn","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prater, Clay","contributorId":341026,"corporation":false,"usgs":false,"family":"Prater","given":"Clay","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dowling, Ashley","contributorId":341027,"corporation":false,"usgs":false,"family":"Dowling","given":"Ashley","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans-White, Michelle A.","contributorId":341028,"corporation":false,"usgs":false,"family":"Evans-White","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907823,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70241253,"text":"70241253 - 2023 - Ice and ocean constraints on early human migrations into North America along the Pacific Coast","interactions":[],"lastModifiedDate":"2023-03-16T13:29:11.876097","indexId":"70241253","displayToPublicDate":"2023-02-06T08:21:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Ice and ocean constraints on early human migrations into North America along the Pacific Coast","docAbstract":"

Founding populations of the first Americans likely occupied parts of Beringia during the Last Glacial Maximum (LGM). The timing, pathways, and modes of their southward transit remain unknown, but blockage of the interior route by North American ice sheets between ~26 and 14 cal kyr BP (ka) favors a coastal route during this period. Using models and paleoceanographic data from the North Pacific, we identify climatically favorable intervals when humans could have plausibly traversed the Cordilleran coastal corridor during the terminal Pleistocene. Model simulations suggest that northward coastal currents strengthened during the LGM and at times of enhanced freshwater input, making southward transit by boat more difficult. Repeated Cordilleran glacial-calving events would have further challenged coastal transit on land and at sea. Following these events, ice-free coastal areas opened and seasonal sea ice was present along the Alaskan margin until at least 15 ka. Given evidence for humans south of the ice sheets by 16 ka and possibly earlier, we posit that early people may have taken advantage of winter sea ice that connected islands and coastal refugia. Marine ice-edge habitats offer a rich food supply and traversing coastal sea ice could have mitigated the difficulty of traveling southward in watercraft or on land over glaciers. We identify 24.5 to 22 ka and 16.4 to 14.8 ka as environmentally favorable time periods for coastal migration, when climate conditions provided both winter sea ice and ice-free summer conditions that facilitated year-round marine resource diversity and multiple modes of mobility along the North Pacific coast.

","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2208738120","usgsCitation":"Praetorius, S.K., Alder, J.R., Condron, A., Mix, A., Walczak, M., Caissie, B.E., and Erlandson, J., 2023, Ice and ocean constraints on early human migrations into North America along the Pacific Coast: Proceedings of the National Academy of Sciences, v. 120, no. 7, e2208738120, 11 p., https://doi.org/10.1073/pnas.2208738120.","productDescription":"e2208738120, 11 p.","ipdsId":"IP-133916","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":444585,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://archimer.ifremer.fr/doc/00820/93170/","text":"Publisher Index Page"},{"id":435467,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95V8DP2","text":"USGS data release","linkHelpText":"Data release for Ice and ocean constraints on early human migrations into North America along the Pacific coast"},{"id":414279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Pacific Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.72062762561171,\n 38.37875574725757\n ],\n [\n -119.99459846253501,\n 39.301388384686106\n ],\n [\n -122.4899431341521,\n 50.08880882681328\n ],\n [\n -133.2466928684764,\n 60.77522068257534\n ],\n [\n -146.986168078397,\n 63.47516560131629\n ],\n [\n -159.91403683656446,\n 70.55186684208343\n ],\n [\n -169.5393000094379,\n 69.74709289484804\n ],\n [\n -170.83530973680112,\n 63.391879804034915\n ],\n [\n -179.9,\n 50.520343621759565\n ],\n [\n -156.35796682332455,\n 54.28410261306894\n ],\n [\n -142.96073969458683,\n 58.298844624993336\n ],\n [\n -129.39963004812796,\n 49.10107755766387\n ],\n [\n -126.51878468736493,\n 43.42260588965587\n ],\n [\n -123.72062762561171,\n 38.37875574725757\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"120","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Praetorius, Summer K. 0000-0003-2683-3652","orcid":"https://orcid.org/0000-0003-2683-3652","contributorId":206966,"corporation":false,"usgs":true,"family":"Praetorius","given":"Summer","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":866663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":866664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Condron, Alan","contributorId":303134,"corporation":false,"usgs":false,"family":"Condron","given":"Alan","affiliations":[{"id":34495,"text":"Woods Hole Oceanographic Inst.","active":true,"usgs":false}],"preferred":false,"id":866665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mix, Alan","contributorId":303135,"corporation":false,"usgs":false,"family":"Mix","given":"Alan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":866666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walczak, Maureen","contributorId":303136,"corporation":false,"usgs":false,"family":"Walczak","given":"Maureen","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":866667,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caissie, Beth Elaine 0000-0001-9587-1842","orcid":"https://orcid.org/0000-0001-9587-1842","contributorId":292500,"corporation":false,"usgs":true,"family":"Caissie","given":"Beth","email":"","middleInitial":"Elaine","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":866668,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erlandson, Jon","contributorId":303137,"corporation":false,"usgs":false,"family":"Erlandson","given":"Jon","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":866669,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70240443,"text":"70240443 - 2023 - Integrating urban water fluxes and moving beyond impervious surface cover: A review","interactions":[],"lastModifiedDate":"2023-02-08T12:47:00.107874","indexId":"70240443","displayToPublicDate":"2023-02-06T06:44:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating urban water fluxes and moving beyond impervious surface cover: A review","docAbstract":"

Though urban areas represent a small fraction of global land cover, they have an outsized impact on hydrological processes. Within these areas, the pathways that water follows are fundamentally transformed by the disturbance of soils, land cover, vegetation, topography, and built infrastructure. While progress has been made across many cities to quantify interactions between hydrological processes and the urban environment, many fundamental questions remain unanswered. In this article, we review the state of urban hydrologic science, with an eye towards identifying gaps in our understanding of how water flows through built landscapes. Our review focuses on key topics within urban hydrology related to water quantity, including runoff and streamflow generation, soils and soil water, groundwater, vegetation, and climate. We also describe some of the challenges and opportunities within the field of urban hydrology that we envision will drive future work and collaboration.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2023.129188","usgsCitation":"Oswald, C., Kelleher, C., Ledford, S., Hopkins, K.G., Sytsma, A., Tetzlaff, D., Toran, L., and Voter, C., 2023, Integrating urban water fluxes and moving beyond impervious surface cover: A review: Journal of Hydrology, v. 618, 129188, 25 p., https://doi.org/10.1016/j.jhydrol.2023.129188.","productDescription":"129188, 25 p.","ipdsId":"IP-144954","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":412867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"618","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oswald, Claire","contributorId":302231,"corporation":false,"usgs":false,"family":"Oswald","given":"Claire","email":"","affiliations":[{"id":65447,"text":"Toronto Metropolitan University","active":true,"usgs":false}],"preferred":false,"id":863812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelleher, Christa","contributorId":242798,"corporation":false,"usgs":false,"family":"Kelleher","given":"Christa","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":863813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ledford, Sarah","contributorId":300624,"corporation":false,"usgs":false,"family":"Ledford","given":"Sarah","email":"","affiliations":[{"id":52554,"text":"Georgia State University","active":true,"usgs":false}],"preferred":false,"id":863814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":863815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sytsma, Anneliese","contributorId":302232,"corporation":false,"usgs":false,"family":"Sytsma","given":"Anneliese","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":863816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tetzlaff, Doerthe","contributorId":302233,"corporation":false,"usgs":false,"family":"Tetzlaff","given":"Doerthe","email":"","affiliations":[{"id":65448,"text":"Humboldt University Berlin","active":true,"usgs":false}],"preferred":false,"id":863817,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Toran, Laura","contributorId":81622,"corporation":false,"usgs":false,"family":"Toran","given":"Laura","email":"","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":863818,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Voter, Carolyn","contributorId":302234,"corporation":false,"usgs":false,"family":"Voter","given":"Carolyn","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":863819,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70242966,"text":"70242966 - 2023 - Dynamics of the wave-driven circulation in the lee of nearshore reefs","interactions":[],"lastModifiedDate":"2023-04-25T11:45:54.368684","indexId":"70242966","displayToPublicDate":"2023-02-06T06:41:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12811,"text":"JGR-Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of the wave-driven circulation in the lee of nearshore reefs","docAbstract":"

Nearshore rocky reefs with scales of order 10–100 m are common along the world's coastline and often shape wave-driven hydrodynamics and shoreline morphology in their lee. The interaction of waves with these reefs generally results in either two or four-cell mean circulation systems (2CC and 4CC, respectively), with diverging flows behind the reefs and at the shoreline in the 2CC case and flows that diverge in the lee and converge at the shoreline in the 4CC case. By applying a phase-resolving wave-flow model to conduct a detailed analysis of mean momentum balances for waves interacting with nearshore reefs, we develop an understanding of the drivers of 2CC and 4CC flow dynamics and how they vary for different reef geometries and wave and water level conditions. The 2CC or 4CC patterns were primarily driven by alongshore pressure gradients toward the exposed (nonreef fronted) or reef-fronted beach. These alongshore pressure gradients were dependent on the cross-shore setup dynamics governed by the balance between pressure (i.e., related to the setup) and radiation stress gradients, and mean bottom stresses exerted on the water column. If shoreline wave setup in the lee of the reef was less than the exposed beach, a 4CC pattern developed with convergent flow at the shoreline in the lee of the reef; otherwise, a 2CC emerged with divergent flow at the shoreline. Across the parameter space investigated, reef roughness, distance to the shoreline, and beach slope were the three parameters most likely to change the flow patterns between 2CC and 4CC.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JC019013","usgsCitation":"da Silva, R.F., Hansen, J., Lowe, R., Rijnsdorp, D.P., and Buckley, M.L., 2023, Dynamics of the wave-driven circulation in the lee of nearshore reefs: JGR-Oceans, v. 128, no. 3, e2022JC019013, 25 p., https://doi.org/10.1029/2022JC019013.","productDescription":"e2022JC019013, 25 p.","ipdsId":"IP-139998","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444590,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022jc019013","text":"Publisher Index Page"},{"id":416227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"da Silva, Renan F.","contributorId":304414,"corporation":false,"usgs":false,"family":"da Silva","given":"Renan","email":"","middleInitial":"F.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":870367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Jeff","contributorId":304415,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":870368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, Ryan","contributorId":304417,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":870370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rijnsdorp, Dirk P.","contributorId":304416,"corporation":false,"usgs":false,"family":"Rijnsdorp","given":"Dirk","email":"","middleInitial":"P.","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":870369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":870371,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240360,"text":"70240360 - 2023 - Prevalence of neonicotinoid insecticides in paired private-well tap water and human urine samples in a region of intense agriculture overlying vulnerable aquifers in eastern Iowa","interactions":[],"lastModifiedDate":"2023-02-06T13:27:11.369044","indexId":"70240360","displayToPublicDate":"2023-02-04T07:24:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence of neonicotinoid insecticides in paired private-well tap water and human urine samples in a region of intense agriculture overlying vulnerable aquifers in eastern Iowa","docAbstract":"

A pilot study among farming households in eastern Iowa was conducted to assess human exposure to neonicotinoids (NEOs). The study was in a region with intense crop and livestock production and where groundwater is vulnerable to surface-applied contaminants. In addition to paired outdoor (hydrant) water and indoor (tap) water samples from private wells, urine samples were collected from 47 adult male pesticide applicators along with the completions of dietary and occupational surveys. Estimated Daily Intake (EDI) were then calculated to examine exposures for different aged family members. NEOs were detected in 53% of outdoor and 55% of indoor samples, with two or more NEOs in 13% of samples. Clothianidin was the most frequently detected NEO in water samples. Human exposure was ubiquitous in urine samples. A median of 10 different NEOs and/or metabolites were detected in urine, with clothianidin, nitenpyram, thiamethoxam, 6-chloronicotinic acid, and thiacloprid amide detected in every urine samples analyzed. Dinotefuran, imidaclothiz, acetamiprid-N-desmethyl, and N-desmethyl thiamethoxam were found in ≥70% of urine samples. Observed water intake for study participants and EDIs were below the chronic reference doses (CRfD) and acceptable daily intake (ADI) standards for all NEOs indicating minimal risk from ingestion of tap water. The study results indicate that while the consumption of private well tap water provides a human exposure pathway, the companion urine results provide evidence that diet and/or other exposure pathways (e.g., occupational, house dust) may contribute to exposure more than water contamination. Further biomonitoring research is needed to better understand the scale of human exposure from different sources.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2023.137904","usgsCitation":"Thompson, D., Kolpin, D., Hladik, M.L., Lehmler, H., Meppelink, S.M., Poch, M., Vargo, J., Soupene, V., Irfan, N., Robinson, M., Kannan, K., Beane Freeman, L., Hogmann, J., Cwiertny, D., and Field, R., 2023, Prevalence of neonicotinoid insecticides in paired private-well tap water and human urine samples in a region of intense agriculture overlying vulnerable aquifers in eastern Iowa: Chemosphere, v. 319, 137904, 12 p., https://doi.org/10.1016/j.chemosphere.2023.137904.","productDescription":"137904, 12 p.","ipdsId":"IP-140023","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":444597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9957962","text":"Publisher Index 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Mitochondrial DNA markers have elucidated patterns of connectivity between green turtle nesting populations (rookeries) and juvenile foraging aggregations. However, missing rookery baseline data and haplotype sharing among populations have often impeded inferences, including estimating origins of Gulf of Mexico juveniles. Here, we assessed genetic structure among seven foraging aggregations spanning southern Texas (TX) to southwestern Florida (SWFL), including Port Fourchon, Louisiana (LA); a surface-pelagic aggregation (SP) offshore of Louisiana and Florida; Santa Rosa Island, Florida (SRI); St. Joseph Bay, Florida (SJB); and the Big Bend region, Florida (BB). We estimated source contributions to aggregations with novel genetic data (excluding SP and BB) using a Bayesian many-to-one mixed stock analysis (MSA) approach. Haplotype frequencies for western (TX, LA, SP, SRI) and eastern (SJB, BB, SWFL) aggregations were significantly differentiated. The largest shift in haplotype frequencies between proximal nursery sites occurred between SRI and SJB, separated by only 150 km, highlighting the lack of a geographic yardstick for predicting genetic structure. In contrast to previous MSA results, there was no signal of Florida juveniles at any foraging site. Mexican contributions dominated in all aggregations, with strong connectivity between western Bay of Campeche (Tamaulipas/Veracruz) rookeries and western foraging aggregations. MSA indicated more diverse Mexican origins for eastern aggregations, with larger inputs from the eastern Bay of Campeche (Campeche/Yucatán), Campeche Bank, and Quintana Roo rookeries. These results demonstrate the significance of the Gulf of Mexico coast and offshore waters of the United States as important nursery habitat for green turtles of Mexican origin and highlight the need for international coordination for management of these populations.","language":"English","publisher":"Frontiers Media S.A.","doi":"10.3389/fmars.2022.1035834","usgsCitation":"Shamblin, B.M., Hart, K., Lamont, M., Shaver, D.J., Dutton, P., LaCasella, E.L., and Nairn, C.J., 2023, United States Gulf of Mexico waters provide important nursery habitat for Mexico’s green turtle nesting populations: Frontiers in Marine Science, v. 9, 1035834, 14 p.; Data Release, https://doi.org/10.3389/fmars.2022.1035834.","productDescription":"1035834, 14 p.; Data Release","ipdsId":"IP-142100","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444600,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2022.1035834","text":"Publisher Index Page"},{"id":435469,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H65DWH","text":"USGS data release","linkHelpText":"Green turtle genetics in the Gulf of Mexico, 2006-2019"},{"id":412685,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414815,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9I1PCLS","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.5828858684223,\n 26.020944798139922\n ],\n [\n -89.99387561539595,\n 21.830237051987623\n ],\n [\n -87.10819998993435,\n 22.09777919697764\n ],\n [\n -83.32909620960129,\n 23.646395345278208\n ],\n [\n -80.73832155828946,\n 23.475083453113896\n ],\n [\n -80.35375877618276,\n 25.05140168963068\n ],\n [\n -80.67702390426734,\n 25.558151073365067\n ],\n [\n -81.57024063541482,\n 26.274503964829904\n ],\n [\n -81.63249418385297,\n 26.757926806207166\n ],\n [\n -82.17722346397841,\n 27.343543061305766\n ],\n [\n -82.3743504056065,\n 28.210015071017466\n ],\n [\n -82.30163833524159,\n 28.867242346882307\n ],\n [\n -83.97406399675111,\n 30.463160386150193\n ],\n [\n -84.95471478826707,\n 30.082641160877444\n ],\n [\n -85.3608084580415,\n 30.344720493413064\n ],\n [\n -87.65489710782902,\n 30.832231912294688\n ],\n [\n -88.91275287924077,\n 30.547664291532925\n ],\n [\n -92.91368561551928,\n 30.3188283440807\n ],\n [\n -94.77708340276928,\n 30.099138547799157\n ],\n [\n -96.88373985471816,\n 28.972754584320896\n ],\n [\n -98.04226337483456,\n 27.310797691110977\n ],\n [\n -97.5828858684223,\n 26.020944798139922\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2023-01-19","publicationStatus":"PW","contributors":{"editors":[{"text":"Kiszka, Jeremy J.","contributorId":292061,"corporation":false,"usgs":false,"family":"Kiszka","given":"Jeremy","email":"","middleInitial":"J.","affiliations":[{"id":62816,"text":"Institute of Environment, Department of Biological Sciences, Florida International University","active":true,"usgs":false}],"preferred":false,"id":863368,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Shamblin, Brian M.","contributorId":138897,"corporation":false,"usgs":false,"family":"Shamblin","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":12573,"text":"Daniel B. Warnell School of Forestry and Natural Resource, Athens Georiga","active":true,"usgs":false}],"preferred":false,"id":863196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":218455,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":863197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":222403,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":863198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaver, Donna J.","contributorId":191186,"corporation":false,"usgs":false,"family":"Shaver","given":"Donna","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":863199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dutton, Peter H.","contributorId":256741,"corporation":false,"usgs":false,"family":"Dutton","given":"Peter H.","affiliations":[{"id":51846,"text":"NOAA Fisheries, Southwest Fisheries Science Center, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":863200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaCasella, Erin L.","contributorId":301955,"corporation":false,"usgs":false,"family":"LaCasella","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":64230,"text":"NOAA-NMFS Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":863201,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nairn, Campbell J.","contributorId":138908,"corporation":false,"usgs":false,"family":"Nairn","given":"Campbell","email":"","middleInitial":"J.","affiliations":[{"id":12573,"text":"Daniel B. Warnell School of Forestry and Natural Resource, Athens Georiga","active":true,"usgs":false}],"preferred":false,"id":863202,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}