We compared abundance patterns and developed resource selection models for imperilled native southwestern (USA) fishes in the presence and absence of Black Bass (Micropterus spp.) to evaluate how fishes alter their selection for habitats when sympatric with a nonnative piscivore. We collected data using snorkel surveys and in-stream habitat sampling in Fossil Creek (AZ), upstream (native fish only) and downstream (native and nonnative fish) of a fish barrier. The abundance of all Roundtail Chub (Gila robusta), small (≤127 mm total length [TL]; vulnerable to predation) Sonora Sucker (Catostomus insignis) and Speckled Dace (Rhinichthys osculus) was significantly reduced, but the abundance of both small and large (>127 mm TL; invulnerable to predation) Desert Sucker (Catostomus clarkii) was similar in sampling reaches with and without Black Bass. When sympatric with Black Bass, small Roundtail Chub increased their selection for riffles by 2.57 times and small Desert Sucker reduce their selection for pools by 6.90 times while also selecting for faster flow velocity and finer substrates in lotic mesohabitats. Large native fishes altered selection least, notwithstanding an increased selection for canopy cover in sampling reaches with Black Bass. Observed shifts in resource selection are consistent with predator avoidance strategies. Our study highlights the behavioural consequences of nonnative piscivores on native fish communities and stresses the importance of maintaining lotic mesohabitats as potential refugia for vulnerable native fishes when nonnative piscivores are present.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12742","usgsCitation":"Jenney, C.J., Bauder, J.M., and Bonar, S.A., 2024, Native fish abundance and habitat selection changes in the presence of nonnative piscivores: Ecology of Freshwater Fish, v. 33, no. 1, e12742, 14 p., https://doi.org/10.1111/eff.12742.","productDescription":"e12742, 14 p.","ipdsId":"IP-152854","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":441226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12742","text":"Publisher Index Page"},{"id":430210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Fossil Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.65799555233461,\n 34.30417660701174\n ],\n [\n -111.66485798143397,\n 34.30417660701174\n ],\n [\n -111.66485798143397,\n 34.29393959091287\n ],\n [\n -111.65799555233461,\n 34.29393959091287\n ],\n [\n -111.65799555233461,\n 34.30417660701174\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenney, Christopher J.","contributorId":288206,"corporation":false,"usgs":false,"family":"Jenney","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":903856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903858,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70258109,"text":"70258109 - 2024 - A survey of non-USGS continuous streamflow gaging networks in the Pacific Northwest","interactions":[],"lastModifiedDate":"2024-09-05T13:23:12.429605","indexId":"70258109","displayToPublicDate":"2023-08-11T08:16:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10956,"text":"Journal of the American Water Resource Association (JAWRA)","active":true,"publicationSubtype":{"id":10}},"title":"A survey of non-USGS continuous streamflow gaging networks in the Pacific Northwest","docAbstract":"Extensive streamflow data sources exist beyond the largest streamflow data provider in the United States, the U.S. Geological Survey. We developed and distributed a survey to about 300 individuals and organizations that collect streamflow data across the Pacific Northwest (Idaho, Oregon, Washington). We received 100 responses with 56% of those sufficiently complete to include in the analysis. From these responses, there are about 2000 streamflow monitoring locations in the region beyond the USGS monitoring network. The duration of record for gages is related to the size of the streamflow gaging network, with small and large networks generally operating monitoring locations for less than 5 years and more than 10 years, respectively. Quality assurance and quality control are variable across organizations, with 41% of respondents having at least two review steps and 13% that audit their data for long-term consistency. Results of this survey begin to establish the differing capabilities of large and small stream gaging networks and highlight how supporting the overall quality streamflow data collection and management within the water resources community will improve our ability to harmonize these datasets in the future.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13149","usgsCitation":"Kaiser, K.E., Blasch, K.W., and Hall, M., 2024, A survey of non-USGS continuous streamflow gaging networks in the Pacific Northwest: Journal of the American Water Resource Association (JAWRA), v. 59, no. 6, p. 1211-1218, https://doi.org/10.1111/1752-1688.13149.","productDescription":"8 p.","startPage":"1211","endPage":"1218","ipdsId":"IP-142681","costCenters":[{"id":65563,"text":"Northwest Pacific Islands Regional Director's Office","active":true,"usgs":true}],"links":[{"id":441227,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13149","text":"Publisher Index Page"},{"id":433490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Nevada, Oregon, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.47437015763583,\n 41.98417594902753\n ],\n [\n -121.94144940029119,\n 42.05841675412967\n ],\n [\n -120.55196789228168,\n 42.959894438527726\n ],\n [\n -119.15101411101895,\n 42.07389704771276\n ],\n [\n -118.84333003127054,\n 41.53204744400705\n ],\n [\n -114.21949167571822,\n 41.51405957686373\n ],\n [\n -111.7061218820717,\n 42.47070751230993\n ],\n [\n -110.63561148767897,\n 43.14219469983823\n ],\n [\n -110.82201689387423,\n 44.830410763885425\n ],\n [\n -112.56034621720048,\n 44.45343237218398\n ],\n [\n -113.51834587414581,\n 44.98330815523411\n ],\n [\n -113.9849522892037,\n 45.688499353351176\n ],\n [\n -112.56861167798766,\n 46.08082914775966\n ],\n [\n -113.8237203184232,\n 49.136259073783094\n ],\n [\n -122.49064851973574,\n 49.0213829486741\n ],\n [\n -122.9683616513303,\n 48.94082485236967\n ],\n [\n -123.15942600322472,\n 48.612646583701036\n ],\n [\n -122.98476650872163,\n 48.28271468128108\n ],\n [\n -124.86569363227332,\n 48.50211320590276\n ],\n [\n -124.74751458499767,\n 47.74944992952496\n ],\n [\n -124.12136496752291,\n 46.02755037104217\n ],\n [\n -124.3979308790089,\n 43.484126386421195\n ],\n [\n -124.70351480449085,\n 42.763233313269694\n ],\n [\n -124.47437015763583,\n 41.98417594902753\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-08-11","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":912401,"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":912229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Mcallister","contributorId":343924,"corporation":false,"usgs":false,"family":"Hall","given":"Mcallister","email":"","affiliations":[],"preferred":false,"id":912402,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250916,"text":"70250916 - 2024 - Estimating lentic recreational fisheries catch and effort across the United States","interactions":[],"lastModifiedDate":"2024-01-12T13:33:57.469782","indexId":"70250916","displayToPublicDate":"2023-08-11T07:32:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating lentic recreational fisheries catch and effort across the United States","docAbstract":"Recreational fisheries represent a socially, ecologically, and economically significant component of global fisheries. The U.S. Inland Creel and Angler Survey Catalog (CreelCat) database includes inland recreational fisheries survey data across the United States to facilitate large-scale analyses. However, because survey methods differ, a statistical method capable of integrating these surveys is necessary to assess patterns and relationships across regions. Here, we developed a hierarchical generalized linear mixed modeling approach to estimate the relationship between daily recreational fisheries catch and effort based on waterbody, socio-economic, and ecological covariates. We applied this approach to CreelCat data on lentic waterbodies and found that recreational fisheries catch and effort were non-linearly related (i.e., catch per unit of effort declined as effort increased), where effort varied regionally and by waterbody area, median county age, and distance to nearest primary road. This modeling approach could be used to inform data-poor regions or waterbodies, make comparisons across spatial scales, and, with the inclusion of socio-economic and ecological factors, inform management techniques in an era of shifting demographics and landscapes.
The deposits of the upper Neoproterozoic Zerrissene Group of central-western Namibia represent a large siliciclastic deep-water depositional system that showcases the intricacies of facies and architectural relationships from bed-scale to fan-system-scale. The lack of vegetation in the Namib Desert and regular east–west repetition of folded stratigraphy (reflecting ca 50% tectonic shortening) provides quasi-three-dimensional exposure over a current area of approximately 2700 square kilometres. The Brak River Formation, the middle sand-rich unit of the Zerrissene Group, consists of nearly 600 m of strata exposed in multiple parallel continuous outcrops up to ca 10 km in length and oriented obliquely to depositional dip. Ten stratigraphic sections are correlated ca 32 km (ca 64 km restored) across the basin and offer exposure comparable in scale to modern submarine fans. Six sedimentary facies are identified and grouped into four facies associations that represent axial-to-marginal portions of deep-water lobes in an unconfined submarine fan system. Spatial facies patterns, regional thickness variations, and palaeocurrents indicate that Brak River Formation sediments were transported primarily from the north to south–south-west through a trough-like basin, and deposited within an unconfined basin plain at the junction of the Adamastor and Khomas oceans. The unique outcrop exposure and extent permits the documentation of system-scale architecture and basin configuration of the Brak River submarine fan system. A transition from the sand-rich lower Brak River Formation to more intercalated mudstone-dominated intervals in the middle and upper Brak River Formation is interpreted to record a change from aggradational to compensational stacking of lobe deposits. This records the evolution of a large submarine fan as it filled the subtle seafloor topography and became less confined at the system-scale. The documentation of these deep-water deposits from centimetre-scale to basin-scale provides a new model for a system with extensive long-distance transport of sand-rich sediment gravity flows to submarine lobes without apparent channelization.
","language":"English","publisher":"Wiley","doi":"10.1111/sed.13129","usgsCitation":"Nieminski, N.M., McHargue, T., Gooley, J.T., Fildani, A., and Lowe, D.R., 2024, Spatial distribution and variability of lobe facies in a large sand-rich submarine fan system: Neoproterozoic Zerrissene Group, Namibia: Sedimentology, v. 71, no. 1, p. 81-115, https://doi.org/10.1111/sed.13129.","productDescription":"35 p.","startPage":"81","endPage":"115","ipdsId":"IP-134081","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":441232,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/sed.13129","text":"Publisher Index Page"},{"id":422228,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nambia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 13.149641654100066,\n -20.46530656931472\n ],\n [\n 13.149641654100066,\n -22.12350444593342\n ],\n [\n 15.775374075974895,\n -22.12350444593342\n ],\n [\n 15.775374075974895,\n -20.46530656931472\n ],\n [\n 13.149641654100066,\n -20.46530656931472\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"71","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Nieminski, Nora Maria 0000-0002-4465-8731","orcid":"https://orcid.org/0000-0002-4465-8731","contributorId":279764,"corporation":false,"usgs":true,"family":"Nieminski","given":"Nora","email":"","middleInitial":"Maria","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":887111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHargue, Tim","contributorId":222430,"corporation":false,"usgs":false,"family":"McHargue","given":"Tim","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":887112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gooley, Jared T. 0000-0001-5620-3702","orcid":"https://orcid.org/0000-0001-5620-3702","contributorId":248710,"corporation":false,"usgs":true,"family":"Gooley","given":"Jared","email":"","middleInitial":"T.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":887113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fildani, Andrea","contributorId":204134,"corporation":false,"usgs":false,"family":"Fildani","given":"Andrea","email":"","affiliations":[{"id":36863,"text":"Statoil","active":true,"usgs":false}],"preferred":false,"id":887114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowe, Donald R","contributorId":331256,"corporation":false,"usgs":false,"family":"Lowe","given":"Donald","email":"","middleInitial":"R","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":887115,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247516,"text":"70247516 - 2024 - Contribution of arsenic and uranium in private wells and community water systems to urinary biomarkers in US adults: The Strong Heart Study and the Multi-Ethnic Study of Atherosclerosis","interactions":[],"lastModifiedDate":"2024-03-11T14:25:09.814951","indexId":"70247516","displayToPublicDate":"2023-08-09T06:55:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2282,"text":"Journal of Exposure Science and Environmental Epidemiology","active":true,"publicationSubtype":{"id":10}},"title":"Contribution of arsenic and uranium in private wells and community water systems to urinary biomarkers in US adults: The Strong Heart Study and the Multi-Ethnic Study of Atherosclerosis","docAbstract":"Chronic exposure to inorganic arsenic (As) and uranium (U) in the United States (US) occurs from unregulated private wells and federally regulated community water systems (CWSs). The contribution of water to total exposure is assumed to be low when water As and U concentrations are low.
We examined the contribution of water As and U to urinary biomarkers in the Strong Heart Family Study (SHFS), a prospective study of American Indian communities, and the Multi-Ethnic Study of Atherosclerosis (MESA), a prospective study of racially/ethnically diverse urban U.S. communities.
We assigned residential zip code-level estimates in CWSs (µg/L) and private wells (90th percentile probability of As >10 µg/L) to up to 1485 and 6722 participants with dietary information and urinary biomarkers in the SHFS (2001–2003) and MESA (2000–2002; 2010–2011), respectively. Urine As was estimated as the sum of inorganic and methylated species, and urine U was total uranium. We used linear mixed-effects models to account for participant clustering and removed the effect of dietary sources via regression adjustment.
The median (interquartile range) urine As was 5.32 (3.29, 8.53) and 6.32 (3.34, 12.48) µg/L for SHFS and MESA, respectively, and urine U was 0.037 (0.014, 0.071) and 0.007 (0.003, 0.018) µg/L. In a meta-analysis across both studies, urine As was 11% (95% CI: 3, 20%) higher and urine U was 35% (5, 73%) higher per twofold higher CWS As and U, respectively. In the SHFS, zip-code level factors such as private well and CWS As contributed 46% of variation in urine As, while in MESA, zip-code level factors, e.g., CWS As and U, contribute 30 and 49% of variation in urine As and U, respectively.
We found that water from unregulated private wells and regulated CWSs is a major contributor to urinary As and U (an estimated measure of internal dose) in both rural, American Indian populations and urban, racially/ethnically diverse populations nationwide, even at levels below the current regulatory standard. Our findings indicate that additional drinking water interventions, regulations, and policies can have a major impact on reducing total exposures to As and U, which are linked to adverse health effects even at low levels.
","language":"English","publisher":"Nature","doi":"10.1038/s41370-023-00586-2","usgsCitation":"Spaur, M., Glabonjat, R.A., Schilling, K., Lombard, M.A., , G., Lieberman-Cribbin, W., Hayek, C., Ilievski, V., Balac, O., Izuchukwu, C., Patterson, K., Basu, A., Bostick, B., Chen, Q., Sanchez, T., Navas-Acien, A., and Nigra, A., 2024, Contribution of arsenic and uranium in private wells and community water systems to urinary biomarkers in US adults: The Strong Heart Study and the Multi-Ethnic Study of Atherosclerosis: Journal of Exposure Science and Environmental Epidemiology, v. 34, p. 77-89, https://doi.org/10.1038/s41370-023-00586-2.","productDescription":"13 p.","startPage":"77","endPage":"89","ipdsId":"IP-148895","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":441234,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41370-023-00586-2","text":"Publisher Index Page"},{"id":419695,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","noUsgsAuthors":false,"publicationDate":"2023-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Spaur, Maya","contributorId":257947,"corporation":false,"usgs":false,"family":"Spaur","given":"Maya","email":"","affiliations":[{"id":52179,"text":"Columbia University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":879947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glabonjat, Ronald A. 0000-0003-3104-1940","orcid":"https://orcid.org/0000-0003-3104-1940","contributorId":225202,"corporation":false,"usgs":false,"family":"Glabonjat","given":"Ronald","email":"","middleInitial":"A.","affiliations":[{"id":41074,"text":"Institute of Chemistry, NAWI Graz, University of Graz, Graz Austria","active":true,"usgs":false}],"preferred":false,"id":879948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schilling, Kathrin","contributorId":318215,"corporation":false,"usgs":false,"family":"Schilling","given":"Kathrin","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lombard, Melissa A. 0000-0001-5924-6556 mlombard@usgs.gov","orcid":"https://orcid.org/0000-0001-5924-6556","contributorId":198254,"corporation":false,"usgs":true,"family":"Lombard","given":"Melissa","email":"mlombard@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":879950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":" Galvez-Fernandez","contributorId":318216,"corporation":false,"usgs":false,"given":"Galvez-Fernandez","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879951,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lieberman-Cribbin, Wil","contributorId":318217,"corporation":false,"usgs":false,"family":"Lieberman-Cribbin","given":"Wil","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879952,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayek, Carolyn","contributorId":318218,"corporation":false,"usgs":false,"family":"Hayek","given":"Carolyn","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879953,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ilievski, Vesna","contributorId":318219,"corporation":false,"usgs":false,"family":"Ilievski","given":"Vesna","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879954,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Balac, Olgica","contributorId":318220,"corporation":false,"usgs":false,"family":"Balac","given":"Olgica","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879955,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Izuchukwu, Chiugo","contributorId":318221,"corporation":false,"usgs":false,"family":"Izuchukwu","given":"Chiugo","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879956,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Patterson, Kevin","contributorId":318222,"corporation":false,"usgs":false,"family":"Patterson","given":"Kevin","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879957,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Basu, Anirban","contributorId":318223,"corporation":false,"usgs":false,"family":"Basu","given":"Anirban","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879958,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bostick, Benjamin","contributorId":257949,"corporation":false,"usgs":false,"family":"Bostick","given":"Benjamin","affiliations":[{"id":40291,"text":"Lamont-Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":879959,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Chen, Qixuan","contributorId":318224,"corporation":false,"usgs":false,"family":"Chen","given":"Qixuan","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879960,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sanchez, Tiffany","contributorId":318225,"corporation":false,"usgs":false,"family":"Sanchez","given":"Tiffany","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879961,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Navas-Acien, Ana","contributorId":257950,"corporation":false,"usgs":false,"family":"Navas-Acien","given":"Ana","email":"","affiliations":[{"id":52179,"text":"Columbia University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":879962,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Nigra, Anne E","contributorId":257951,"corporation":false,"usgs":false,"family":"Nigra","given":"Anne E","affiliations":[{"id":52179,"text":"Columbia University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":879963,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70247805,"text":"70247805 - 2024 - Variation in flight characteristics associated with entry by eagles into rotor-swept zones of wind turbines","interactions":[],"lastModifiedDate":"2024-01-04T14:46:26.858851","indexId":"70247805","displayToPublicDate":"2023-08-07T07:06:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Variation in flight characteristics associated with entry by eagles into rotor-swept zones of wind turbines","docAbstract":"Automated curtailment of wind turbines can reduce fatality rates of wildlife, but the resulting increased number of curtailments can reduce power generation. Tailoring curtailment criteria for each individual turbine could reduce unnecessary curtailment, yet it is unknown whether the risk to wildlife varies among turbines. We demonstrate turbine-specific variation in the speed, altitude, approach angle, and distance metrics associated with entry by eagles into rotor-swept zones. Our results thus illustrate the potential value of turbine-specific curtailment criteria to reduce fatality rates of wildlife at wind energy facilities.
Largemouth Bass (Micropterus salmoides, LMB) and Smallmouth Bass (Micropterus dolomieu, SMB) are among the most highly invasive species across the globe, but are simultaneously among the most highly sought-after game fish. To explain these disparate views, data on invasive status and angling participation of these two species were compiled at the country level. Largemouth Bass were found established in 62 countries on five continents, whereas SMB were found established in only nine countries on the same five continents. Invasive risk assessments were disparate between the species, with more for SMB (N = 29) than LMB (N = 27). In every instance save one (Finland), SMB were considered “invasive” compared to LMB, which were “invasive” in only 74% of assessments. Twenty-eight countries with non-native black bass have groups that participate in high-profile fishing tournament such the Black Bass World Championship, BASS (Bass Anglers Sportsmans Society) Nation, and Major League Fishing. Most countries with fishing tournaments occur in countries with established LMB populations than in countries with established SMB populations, suggesting a greater economic importance on LMB fishing. The struggle between conserving biodiversity and relying upon economic benefits from fishing for introduced species is a wicked problem likely to continue into the future.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/23308249.2023.2244078","usgsCitation":"Long, J.M., and Seguy, L., 2024, Global status of non-native Largemouth Bass (Micropterus Salmoides, Centrachidae) and Smallmouth Bass (Micropterus Dolomieu, Centrarchidae): Disparate views as beloved sportfish and feared invader: Reviews in Fisheries Science & Aquaculture, v. 32, no. 1, p. 81-98, https://doi.org/10.1080/23308249.2023.2244078.","productDescription":"18 p.","startPage":"81","endPage":"98","ipdsId":"IP-130885","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":482333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":928137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seguy, L.","contributorId":351194,"corporation":false,"usgs":false,"family":"Seguy","given":"L.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":928136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70247442,"text":"70247442 - 2024 - Low-complexity floodplain inundation model performs well for ecological and management applications in a large river ecosystem","interactions":[],"lastModifiedDate":"2024-02-26T15:33:19.341219","indexId":"70247442","displayToPublicDate":"2023-08-03T07:07:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Low-complexity floodplain inundation model performs well for ecological and management applications in a large river ecosystem","docAbstract":"Flooding is a dominant physical process that drives the form and function of river-floodplain ecosystems. Efficiently characterizing flooding dynamics can be challenging, especially over geographically broad areas or at spatial and temporal scales relevant for ecosystem management activities. Here, we empirically evaluated a low-complexity geospatial model of floodplain inundation in six study segments of the Upper Mississippi River System (UMRS) by pairing spatially extensive, temporally limited and spatially limited, temporally extensive sampling designs. We found little evidence of systematic bias in model performance although discrepancies between model predictions and empirical data did occur locally. Assessments of model predictions revealed low segment-wide discrepancies of wetted extent under contrasting flow conditions and agreement for inundation event detection and duration. Model performance for predicting event frequency and duration was similar among sites expected to exhibit contrasting patterns of hydrologic connectivity with the main channel. Our results suggest that low-complexity models can efficiently characterize a critical physical process across geographically broad, complex river-floodplain ecosystems. Such tools have the potential for advancing scientific understanding of landscape-scale ecological patterns and for prioritizing management actions in large, complex river-floodplain ecosystems like the UMRS.
The open data movement represents a major advancement for informed water management. Data that are findable, accessible, interoperable, and reusable—or FAIR—are now prerequisite to responsible data stewardship. In contrast to FAIR, accessibility and usability case studies and guidelines designed around human access and understanding are lacking in the literature, especially for water resources. Such decision support guidelines are critical because (i) inherent visual design trade-offs are not best made using intuition or feedback (perceived preference), and (ii) choosing designs requires a nuanced understanding of why and how the design works (revealed effectiveness). Thus, the goal of this commentary is to highlight knowledge gaps and discuss a general usability testing method which can be applied to any water resources decision support product. The user-testing approach includes (i) interviews about visualization goals, audiences, and the uses and decisions made with the data products, (ii) diagnosis of usability challenges, and (iii) redesign of decision support products given best practices and control versus treatment with intended end-user audiences. We illustrate the method using high-profile U.S. Geological Survey water science products. In sum, optimizing and testing for usability and understandability are as central to stakeholder use as FAIR standards are, and warrant being part of the development of data products and geovisualizations.
Twenty years of surface elevation table and marker horizon monitoring at three sites along the Fire Island (New York, USA) barrier island indicates that rates of marsh surface elevation change (Watch Hill, 4.4 mm year−1; Hospital Point, 3.5 mm year−1; Great Gun, − 0.3 mm year−1) were lower than the rate of monthly mean sea-level rise during the 2002–2022 monitoring period (5.1 mm year−1, NOAA Sandy Hook, NJ, water level station). The Great Gun monitoring site, with an elevation deficit relative to sea-level rise, shallow subsidence (surface accretion > marsh elevation rate), low elevation capital, prolonged marsh surface flooding, and declining vegetation cover, displays characteristics common to deteriorating marshes. The submergence trend was not as evident at the other monitoring sites, but with low tidal range (0.4 m) and projections of accelerated sea-level rise, sustainability is questioned if marsh elevation change continues to lag behind the local rate of relative sea-level rise. Hurricane Sandy occurred during the monitoring period (October 2012), creating a new inlet located about 300 m from one of the monitoring sites. Surprisingly, no immediate signals of deposition or erosion were noted from the marker horizon sampling. Overwash sand deposits on the marsh surface were extensive along Fire Island, although not reaching the monitoring sites, and will likely provide opportunities for future salt marsh growth, as will the flood-tide delta created by the inlet. Projecting the future of barrier island salt marshes under a regime of accelerated sea-level rise and episodic storms requires knowledge of marsh elevation and accretion processes and geomorphic dynamics.
Human water use combined with a recent megadrought have reduced river and stream flow through the Southwestern United States and led to periodic drying of formerly perennial river segments. Reductions in snowmelt runoff and increased extent of drying collectively threaten short-lived, obligate aquatic species, including the endangered Rio Grande silvery minnow. This species experiences ‘boom-and-bust’ population dynamics where large fluctuations in abundance are expected to lower estimates of effective population size and erode genetic diversity over time. Rates of diversity loss are also affected by additions of hatchery-origin fish used to supplement the wild population. We leveraged demographic and genetic data from wild and hatchery individuals to understand the relationship of genetic diversity and effective population size to abundance over the last two decades. Genetic diversity was low during the early 2000s, but diversity and demographic metrics stabilized after the hatchery program was initiated and environmental conditions improved. Yet, from 2017 onward, allelic diversity declined (Cohen's d = 1.34) and remains low despite hatchery stocking and brief wild population recovery. Across the time series, single-sample estimates of effective population size (NeD) were positively associated (r = 0.53) with wild/total abundance, but as the proportion of hatchery-origin spawners increased, NeD was reduced (r = -0.55). Megadrought limits wild spawner abundance and precludes refreshment of hatchery brood stocks with wild fish, hence we predict a riverine population increasingly dominated by hatchery-origin individuals and accelerated loss of genetic diversity despite supplementation. We recommend an adaptive and accelerated management plan that integrates river flow management and hatchery operations to slow the pace of genetic diversity loss exacerbated by megadrought.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.14154","usgsCitation":"Osborne, M.J., Archdeacon, T.P., Yackulic, C., Dudley, R.K., Caeiro-Dias, G., and Turner, T.F., 2024, Genetic erosion in an endangered desert fish during a multidecadal megadrought despite long-term supportive breeding: Conservation Biology, v. 38, no. 1, e14154, 15 p., https://doi.org/10.1111/cobi.14154.","productDescription":"e14154, 15 p.","ipdsId":"IP-148171","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":441245,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14154","text":"Publisher Index Page"},{"id":419394,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.57008585023667,\n 34.82182972311054\n ],\n [\n -106.92933737972794,\n 34.779685587577234\n ],\n [\n -107.34418736021243,\n 33.32339277795654\n ],\n [\n -106.96782861503118,\n 33.31981937254673\n ],\n [\n -106.57008585023667,\n 34.82182972311054\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Osborne, Megan J.","contributorId":317772,"corporation":false,"usgs":false,"family":"Osborne","given":"Megan","email":"","middleInitial":"J.","affiliations":[{"id":69145,"text":"Department of Biology and Museum of Southwestern Biology, MSC 03-2020, University of New Mexico, Albuquerque, New Mexico, 87131, USA.","active":true,"usgs":false}],"preferred":false,"id":879285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archdeacon, Thomas P.","contributorId":317773,"corporation":false,"usgs":false,"family":"Archdeacon","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":69146,"text":"United States Fish and Wildlife Service, New Mexico Fish and Wildlife Conservation Office, 3800 Commons Ave, Albuquerque, New Mexico, 87109, USA.","active":true,"usgs":false}],"preferred":false,"id":879286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":879287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dudley, Robert K.","contributorId":317774,"corporation":false,"usgs":false,"family":"Dudley","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":69147,"text":"American Southwest Ichthyological Researchers, 800 Encino Place NE, Albuquerque, NM 87102","active":true,"usgs":false}],"preferred":false,"id":879288,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caeiro-Dias, Guilherme","contributorId":317775,"corporation":false,"usgs":false,"family":"Caeiro-Dias","given":"Guilherme","email":"","affiliations":[{"id":69145,"text":"Department of Biology and Museum of Southwestern Biology, MSC 03-2020, University of New Mexico, Albuquerque, New Mexico, 87131, USA.","active":true,"usgs":false}],"preferred":false,"id":879289,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turner, Thomas F.","contributorId":317776,"corporation":false,"usgs":false,"family":"Turner","given":"Thomas","email":"","middleInitial":"F.","affiliations":[{"id":69145,"text":"Department of Biology and Museum of Southwestern Biology, MSC 03-2020, University of New Mexico, Albuquerque, New Mexico, 87131, USA.","active":true,"usgs":false}],"preferred":false,"id":879290,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70247343,"text":"70247343 - 2024 - High-resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature","interactions":[],"lastModifiedDate":"2024-03-11T14:23:49.518723","indexId":"70247343","displayToPublicDate":"2023-07-21T11:05:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5347,"text":"Remote Sensing in Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature","docAbstract":"Understanding interactions between environmental stress and genetic variation is crucial to predict the adaptive capacity of species to climate change. Leaf temperature is both a driver and a responsive indicator of plant physiological response to thermal stress, and methods to monitor it are needed. Foliar temperatures vary across leaf to canopy scales and are influenced by genetic factors, challenging efforts to map and model this critical variable. Thermal imagery collected using unoccupied aerial systems (UAS) offers an innovative way to measure thermal variation in plants across landscapes at leaf-level resolutions. We used a UAS equipped with a thermal camera to assess temperature variation among genetically distinct populations of big sagebrush (Artemisia tridentata), a keystone plant species that is the focus of intensive restoration efforts throughout much of western North America. We completed flights across a growing season in a sagebrush common garden to map leaf temperature relative to subspecies and cytotype, physiological phenotypes of plants, and summer heat stress. Our objectives were to (1) determine whether leaf-level stomatal conductance corresponds with changes in crown temperature; (2) quantify genetic (i.e., subspecies and cytotype) contributions to variation in leaf and crown temperatures; and (3) identify how crown structure, solar radiation, and subspecies-cytotype relate to leaf-level temperature. When considered across the whole season, stomatal conductance was negatively, non-linearly correlated with crown-level temperature derived from UAS. Subspecies identity best explained crown-level temperature with no difference observed between cytotypes. However, structural phenotypes and microclimate best explained leaf-level temperature. These results show how fine-scale thermal mapping can decouple the contribution of genetic, phenotypic, and microclimate factors on leaf temperature dynamics. As climate-change-induced heat stress becomes prevalent, thermal UAS represents a promising way to track plant phenotypes that emerge from gene-by-environment interactions.
","language":"English","publisher":"Zoological Society of London","doi":"10.1002/rse2.359","usgsCitation":"Olsoy, P.J., Zaiats, A., Delparte, D.M., Germino, M., Richardson, B., Roop, S., Roser, A.V., Forbey, J.S., Cattau, M.E., Buerki, S., Reinhardt, K., and Caughlin, T., 2024, High-resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature: Remote Sensing in Ecology and Conservation, v. 10, no. 1, p. 106-120, https://doi.org/10.1002/rse2.359.","productDescription":"15 p.","startPage":"106","endPage":"120","ipdsId":"IP-142406","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":441247,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.359","text":"Publisher Index Page"},{"id":419398,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","city":"Boise","otherGeospatial":"Orchard common gardens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116,\n 43.34\n ],\n [\n -116,\n 43.30\n ],\n [\n -115.97,\n 43.30\n ],\n [\n -115.97,\n 43.34\n ],\n [\n -116,\n 43.34\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Olsoy, Peter J. 0000-0002-8785-0459","orcid":"https://orcid.org/0000-0002-8785-0459","contributorId":317761,"corporation":false,"usgs":false,"family":"Olsoy","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":879270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zaiats, Andrii 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Science Center","active":false,"usgs":true}],"preferred":true,"id":879273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richardson, Bryce 0000-0001-9521-4367","orcid":"https://orcid.org/0000-0001-9521-4367","contributorId":195702,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","email":"","affiliations":[],"preferred":false,"id":879274,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roop, Spencer","contributorId":317763,"corporation":false,"usgs":false,"family":"Roop","given":"Spencer","email":"","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":879275,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roser, Anna V. 0000-0002-5184-2916","orcid":"https://orcid.org/0000-0002-5184-2916","contributorId":317765,"corporation":false,"usgs":false,"family":"Roser","given":"Anna","email":"","middleInitial":"V.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":879276,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Forbey, Jennifer S.","contributorId":194442,"corporation":false,"usgs":false,"family":"Forbey","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":879277,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cattau, Megan E 0000-0003-2164-3809","orcid":"https://orcid.org/0000-0003-2164-3809","contributorId":295715,"corporation":false,"usgs":false,"family":"Cattau","given":"Megan","email":"","middleInitial":"E","affiliations":[{"id":63922,"text":"Department of Human-Environment Systems, Boise State University","active":true,"usgs":false}],"preferred":false,"id":879278,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Buerki, Sven","contributorId":257075,"corporation":false,"usgs":false,"family":"Buerki","given":"Sven","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":879279,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reinhardt, Keith","contributorId":178543,"corporation":false,"usgs":false,"family":"Reinhardt","given":"Keith","email":"","affiliations":[],"preferred":false,"id":879280,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Caughlin, Trevor 0000-0001-6752-2055","orcid":"https://orcid.org/0000-0001-6752-2055","contributorId":256964,"corporation":false,"usgs":false,"family":"Caughlin","given":"Trevor","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":879281,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70248838,"text":"70248838 - 2024 - Sensitivity of North American grassland birds to weather and climate variability","interactions":[],"lastModifiedDate":"2024-02-07T17:04:13.498096","indexId":"70248838","displayToPublicDate":"2023-07-10T06:47:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of North American grassland birds to weather and climate variability","docAbstract":"Grassland birds in North America have experienced sharp declines over the last 60 years driven by the widespread loss and degradation of grassland habitats. In recent decades, modern climate change has amplified these pressures. Climate change is occurring more rapidly in grasslands relative to some other ecosystems, and exposure to extreme and novel climate conditions may affect grassland bird ecology and demographics. To understand the potential effects of weather and climate variability on grassland birds, we systematically reviewed published empirical relationships between temperature and precipitation and demographic responses in grassland bird species of North America. We used a vote-counting approach to quantify the frequency and direction of significant effects of weather and climate variability on grassland birds. We found that grassland birds were likely to experience both positive and negative effects of higher temperatures and altered precipitation, with moderate, sustained increases in mean temperature and precipitation potentially benefiting some species, but extreme heat, drought, and heavy rainfall often reducing abundance and nest success. These patterns varied among climate regions, temporal scales of temperature and precipitation (< 1 month or ≥ 1 month), and taxa. The sensitivity of grassland bird populations to extreme weather and altered climate variability will likely be mediated by regional climates, interaction with other stressors, life history strategies of various species, and species’ tolerances for novel climate conditions.
","language":"English","publisher":"Wiley","doi":"10.1111/cobi.14143","usgsCitation":"Maresh Nelson, S., Ribic, C., Niemuth, N.D., Bernath-Plaisted, J., and Zuckerberg, B., 2024, Sensitivity of North American grassland birds to weather and climate variability: Conservation Biology, v. 38, no. 1, e14143, 15 p., https://doi.org/10.1111/cobi.14143.","productDescription":"e14143, 15 p.","ipdsId":"IP-155942","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":441250,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14143","text":"Publisher Index Page"},{"id":421062,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Maresh Nelson, Scott 0000-0003-4064-3935","orcid":"https://orcid.org/0000-0003-4064-3935","contributorId":330003,"corporation":false,"usgs":false,"family":"Maresh Nelson","given":"Scott","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":883843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":330005,"corporation":false,"usgs":false,"family":"Ribic","given":"Christine","affiliations":[{"id":34113,"text":"University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":883844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niemuth, Neal D. 0009-0006-9637-5588","orcid":"https://orcid.org/0009-0006-9637-5588","contributorId":204334,"corporation":false,"usgs":false,"family":"Niemuth","given":"Neal","email":"","middleInitial":"D.","affiliations":[{"id":36919,"text":"U.S. Fish and Wildlife Service Habitat and Population Evaluation Team","active":true,"usgs":false}],"preferred":false,"id":883845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernath-Plaisted, Jacy 0000-0003-4645-8132","orcid":"https://orcid.org/0000-0003-4645-8132","contributorId":330007,"corporation":false,"usgs":false,"family":"Bernath-Plaisted","given":"Jacy","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":883846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zuckerberg, Benjamin","contributorId":329861,"corporation":false,"usgs":false,"family":"Zuckerberg","given":"Benjamin","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":883847,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70251717,"text":"70251717 - 2024 - Considering pollinators' ecosystem services in the remediation and restoration of contaminated lands: Overview of research and its gaps","interactions":[],"lastModifiedDate":"2024-02-26T12:27:12.433278","indexId":"70251717","displayToPublicDate":"2023-07-10T06:25:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Considering pollinators' ecosystem services in the remediation and restoration of contaminated lands: Overview of research and its gaps","docAbstract":"The concept of ecosystem services provides a useful framework for understanding how people are affected by changes to the natural environment, such as when a contaminant is introduced (e.g., oil spills, hazardous substance releases) or, conversely, when contaminated lands are remediated and restored. Pollination is one example of an important ecosystem service; pollinators play a critical role in any functioning terrestrial ecosystem. Other studies have suggested that consideration of pollinators' ecosystem services could lead to better remediation and restoration outcomes. However, the associated relationships can be complex, and evaluation requires synthesis from numerous disciplines. In this article, we discuss the possibilities for considering pollinators and their ecosystem services when planning remediation and restoration of contaminated lands. To inform the discussion, we introduce a general conceptual model of how pollinators and the ecosystem services associated with them could be affected by contamination in the environment. We review the literature on the conceptual model components, including contaminant effects on pollinators and the direct and indirect ecosystem services provided by pollinators, and identify information gaps. Though increased public interest in pollinators likely reflects increasing recognition of their role in providing many important ecosystem services, our review indicates that many gaps in understanding—about relevant natural and social systems—currently impede the rigorous quantification and evaluation of pollinators' ecosystem services required for many applications, such as in the context of natural resource damage assessment. Notable gaps include information on non-honeybee pollinators and on ecosystem services beyond those benefitting the agricultural sector. We then discuss potential research priorities and implications for practitioners. Focused research attention on the areas highlighted in this review holds promise for increasing the possibilities for considering pollinators' ecosystem services in the remediation and restoration of contaminated lands.
Despite advances in toxicity testing and development of new approach methodologies (NAMs) for hazard assessment, the ecological risk assessment (ERA) framework for terrestrial wildlife (i.e., air-breathing amphibians, reptiles, birds, and mammals) has remained unchanged for decades. While survival, growth, and reproductive endpoints derived from whole animal toxicity tests are central to hazard assessment, non-standard measures of biological effects at multiple levels of biological organization (e.g., molecular, cellular, tissue, organ, organism, population, community, ecosystem) have potential to enhance the relevance of prospective and retrospective wildlife ERAs. Other factors (e.g., indirect effects of contaminants on food supplies and infectious disease processes) are influenced by toxicants at individual, population, and community levels, and need to be factored into chemically-based risk assessments to enhance the “eco” component of ERAs. Regulatory and logistical challenges often relegate such non-standard endpoints and indirect effects to post-registration evaluations of pesticides and industrial chemicals, and contaminated site evaluations. While NAMs are being developed, to date their applications in ERAs focused on wildlife have been limited. No single magic tool or model will address all uncertainties in hazard assessment. Modernizing wildlife ERAs will likely entail combinations of laboratory and field-derived data at multiple levels of biological organization, knowledge collection solutions (e.g., systematic review, adverse outcome pathway frameworks), and inferential methods that facilitate integrations and risk estimations focused on species, populations, interspecific extrapolations, and ecosystem services modeling, with less dependence on whole animal data and simple hazard ratios.
Despite growing support for ecosystem-based approaches, conservation is mostly implemented at the species level. However, genetic differentiation exists within this taxonomic level, putting genetically distinct populations at risk of local extinction. In the diablotin black-capped petrel Pterodroma hasitata, an endangered gadfly petrel endemic to the Caribbean, 2 phenotypes have been described: a smaller dark form and a heavier light form, which are genetically distinct. To assess possible differences in the marine distributions of phenotypes, in May 2019, we captured 5 adult black-capped petrels of each phenotype at sea in the western North Atlantic and equipped them with satellite transmitters. We used generalized linear mixed models to test the importance of phenotype on geographic distribution. Using kernel density estimations, we located use areas, quantified spatial overlap between forms, and assessed form-specific exposure to marine threats. Petrels were tracked for 11 to 255 d (mean ± SD: 102.1 ± 74.2 d). During the non-breeding period, all individuals ranged from 28.4 to 43.0° latitude. Phenotypes had significantly distinct non-breeding distributions, independent of time of year. The dark form used waters of the Carolinian marine ecoregion, and the light form used pelagic waters of the Virginian ecoregion, to the north. The dark form was more exposed to marine threats than the light form, in particular to mercury, microplastics, and marine traffic. The light form overlapped with proposed wind energy areas off the central US coast. These differences in exposure suggest possible differences in vulnerability, which can have repercussions on the viability of this imperiled species.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.1101/2022.06.02.491532","usgsCitation":"Satgé, Y., Keitt, B., Gaskin, C., Patteson, J., and Jodice, P.G., 2024, Spatial segregation between phenotypes of the diablotin black-capped petrel Pterodroma hasitata during the non-breeding period: Endangered Species Research, v. 51, p. 183-201, https://doi.org/10.1101/2022.06.02.491532.","productDescription":"19 p.","startPage":"183","endPage":"201","ipdsId":"IP-140054","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467058,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2022.06.02.491532","text":"External Repository"},{"id":465532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Atlantic Ocean, Cape Hatteras, Gulf Stream","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.8923537451853,\n 35.443875566777706\n ],\n [\n -75.8923537451853,\n 30.989743965000244\n ],\n [\n -71.14475202578238,\n 30.989743965000244\n ],\n [\n -71.14475202578238,\n 35.443875566777706\n ],\n [\n -75.8923537451853,\n 35.443875566777706\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Satgé, Yvan G.","contributorId":341479,"corporation":false,"usgs":false,"family":"Satgé","given":"Yvan G.","affiliations":[{"id":81653,"text":"South Carolina Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":908484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keitt, Brad","contributorId":341480,"corporation":false,"usgs":false,"family":"Keitt","given":"Brad","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaskin, Chris","contributorId":341481,"corporation":false,"usgs":false,"family":"Gaskin","given":"Chris","affiliations":[{"id":81744,"text":"Northern New Zealand Seabird Trust","active":true,"usgs":false}],"preferred":false,"id":908486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patteson, J. Brian","contributorId":347588,"corporation":false,"usgs":false,"family":"Patteson","given":"J. Brian","affiliations":[],"preferred":false,"id":922023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908487,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70246681,"text":"70246681 - 2024 - Presence of hummock and hollow microtopography reflects shifting balances of shallow subsidence and root zone expansion along forested wetland river gradients","interactions":[],"lastModifiedDate":"2024-08-26T13:59:43.191987","indexId":"70246681","displayToPublicDate":"2023-07-04T06:36:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Presence of hummock and hollow microtopography reflects shifting balances of shallow subsidence and root zone expansion along forested wetland river gradients","docAbstract":"Tidal freshwater forested wetlands (TFFWs) are in an active phase of transition to tidal marsh with sea level rise and salinity incursion along the Atlantic and Gulf Coasts of the United States (U.S.). A prominent feature of TFFWs is hummock/hollow microtopography where hollows represent the flat, base-elevation of the floodplain where inundation occurs relatively frequently, while hummocks provide elevated soil surfaces that often harbor relatively greater numbers and species of trees and shrubs. Hummocks appear at the landscape river boundary just seaward of bottomland hardwoods as tides reach those positions, persist for many years, and disappear as TFFWs eventually transition to marsh. We studied TFFW surface elevation processes along four Atlantic coastal landscape river gradients by using surface elevation tables and marker horizons. Shallow subsidence between trees, equating to as much as 5.5 mm/year, was an important process in hollow maintenance as roots held hummock elevations relatively more stable. However, hummocks were actively subsiding on all sites with little sign of root zone expansion within hummocks, despite hummock elevation gain on some sites. For down-river transitions, hollow infilling through increasing sediment accretion and root zone expansion were predominant processes driving loss of microtopography as marshes replaced TFFWs closer to the estuarine interface; hollows gained elevations to meet hummocks. While these results do not preclude the importance of healthy root zone processes to the maintenance (and formation) of hummocks, our results indicate that reductions in critical sediment supplies to offset natural shallow subsidence explain persistence and eventual loss of hummock and hollow microtopography in TFFWs.
Context: Sea turtle hatchlings generally emerge at night from nests on sand beaches and immediately orient using visual cues, which are believed to entail the difference in brightness between the light seen in the seaward direction and that seen in the duneward direction.
Aim: The aim of this study was to understand how dune proximity affected hatchling orientations in two sea turtle species that share a nesting beach 15 km long and 25.3 ± 9.4 m (N = 215) from dune to waterline, with low to moderate artificial light nearby.
Methods: For hatchling loggerhead and green turtles, we measured accuracy and precision of orientation, tested differences in distance from nest to dune, and investigated the effect of dune proximity on hatchling orientation.
Key results: We found a significant decrease in hatchling orientation accuracy and precision in both species as the distance increased from nests to dune. Loggerhead and green turtles showed similar orientation ability when in the same proximity to the dune.
Conclusions: We conclude that dune features provide important cues for hatchling orientation on sea turtle nesting beaches.
Implications: Restoring and maintaining natural beach profiles, especially dune systems, is likely to increase the accuracy and precision of sea finding in hatchling sea turtles.
","language":"English","publisher":"CSIRO","doi":"10.1071/MF23052","usgsCitation":"Hirama, S., Witherington, B., Sylvia, A., and Carthy, R., 2024, Accuracy and precision of sea-finding orientation as a function of dune proximity in hatchlings of two species of sea turtles: Marine and Freshwater Research, v. 74, no. 11, p. 994-1001, https://doi.org/10.1071/MF23052.","productDescription":"8 p.","startPage":"994","endPage":"1001","ipdsId":"IP-146660","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441263,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/mf23052","text":"Publisher Index Page"},{"id":432601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Palm Beach County","otherGeospatial":"Juno Beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.08267111365518,\n 26.969659914048705\n ],\n [\n -80.08,\n 26.97\n ],\n [\n -80.041,\n 26.858556495771765\n ],\n [\n -80.04786857797046,\n 26.858073293512533\n ],\n [\n -80.08267111365518,\n 26.969659914048705\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"74","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hirama, Shigetomo","contributorId":340649,"corporation":false,"usgs":false,"family":"Hirama","given":"Shigetomo","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Witherington, Blair","contributorId":340650,"corporation":false,"usgs":false,"family":"Witherington","given":"Blair","affiliations":[{"id":61821,"text":"Inwater Research Group, Inc","active":true,"usgs":false}],"preferred":false,"id":907426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sylvia, Andrea","contributorId":340652,"corporation":false,"usgs":false,"family":"Sylvia","given":"Andrea","email":"","affiliations":[{"id":81641,"text":"Loggerhead Marinelife Cente","active":true,"usgs":false}],"preferred":false,"id":907427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carthy, Raymond 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":219303,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907428,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268870,"text":"70268870 - 2024 - Estimating groundwater pumping for irrigation: A method comparison","interactions":[],"lastModifiedDate":"2025-07-10T16:27:16.465704","indexId":"70268870","displayToPublicDate":"2023-06-22T09:41:30","publicationYear":"2024","noYear":false,"publicationType":{"id":26,"text":"Extramural-Authored Publication Paper"},"publicationSubtype":{"id":31,"text":"Extramural-Authored Publication"},"seriesTitle":{"id":21990,"text":"Groundwater","active":true,"publicationSubtype":{"id":31}},"title":"Estimating groundwater pumping for irrigation: A method comparison","docAbstract":"Effective groundwater management is critical to future environmental, ecological, and social sustainability and requires accurate estimates of groundwater withdrawals. Unfortunately, these estimates are not readily available in most areas due to physical, regulatory, and social challenges. Here, we compare four different approaches for estimating groundwater withdrawals for agricultural irrigation. We apply these methods in a groundwater-irrigated region in the state of Kansas, USA, where high-quality groundwater withdrawal data are available for evaluation. The four methods represent a broad spectrum of approaches: (1) the hydrologically-based Water Table Fluctuation method (WTFM); (2) the demand-based SALUS crop model; (3) estimates based on satellite-derived evapotranspiration (ET) data from OpenET; and (4) a landscape hydrology model which integrates hydrologic- and demand-based approaches. The applicability of each approach varies based on data availability, spatial and temporal resolution, and accuracy of predictions. In general, our results indicate that all approaches reasonably estimate groundwater withdrawals in our region, however, the type and amount of data required for accurate estimates and the computational requirements vary among approaches. For example, WTFM requires accurate groundwater levels, specific yield, and recharge data, whereas the SALUS crop model requires adequate information about crop type, land use, and weather. This variability highlights the difficulty in identifying what data, and how much, are necessary for a reasonable groundwater withdrawal estimate, and suggests that data availability should drive the choice of approach. Overall, our findings will help practitioners evaluate the strengths and weaknesses of different approaches and select the appropriate approach for their application.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13336","usgsCitation":"Brookfield, A.E., Zipper, S., Kendall, A., Ajami, H., and Deines, J.M., 2024, Estimating groundwater pumping for irrigation: A method comparison: Groundwater, v. 62, no. 1, p. 15-33, https://doi.org/10.1111/gwat.13336.","productDescription":"19 p.","startPage":"15","endPage":"33","ipdsId":"IP-180562","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":492078,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13336","text":"Publisher Index Page"},{"id":491893,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","county":"Sheridan County, Thomas County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -100.9,\n 39.6\n ],\n [\n -100.9,\n 39.2\n ],\n [\n -100.3,\n 39.2\n ],\n [\n -100.3,\n 39.6\n ],\n [\n -100.9,\n 39.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"1","noUsgsAuthors":true,"publicationDate":"2023-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Brookfield, Andrea E.","contributorId":202677,"corporation":false,"usgs":false,"family":"Brookfield","given":"Andrea","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":942441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipper, Samuel 0000-0002-8735-5757","orcid":"https://orcid.org/0000-0002-8735-5757","contributorId":225160,"corporation":false,"usgs":false,"family":"Zipper","given":"Samuel","email":"","affiliations":[{"id":41056,"text":"Kansas Geological Survey, University of Kansas, Lawrence KS 66047, USA","active":true,"usgs":false}],"preferred":false,"id":942442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, Anthony D.","contributorId":357745,"corporation":false,"usgs":false,"family":"Kendall","given":"Anthony D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":942443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ajami, Hoori 0000-0001-6883-7630","orcid":"https://orcid.org/0000-0001-6883-7630","contributorId":303806,"corporation":false,"usgs":false,"family":"Ajami","given":"Hoori","email":"","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":942444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deines, Jillian M. 0000-0002-4279-8765","orcid":"https://orcid.org/0000-0002-4279-8765","contributorId":303808,"corporation":false,"usgs":false,"family":"Deines","given":"Jillian","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":942445,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70249427,"text":"70249427 - 2024 - Horizontal integrity a prerequisite for vertical stability: Comparison of elevation change and the unvegetated-vegetated marsh ratio across southeastern USA coastal wetlands","interactions":[],"lastModifiedDate":"2024-08-26T14:09:44.340893","indexId":"70249427","displayToPublicDate":"2023-06-05T10:47:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Horizontal integrity a prerequisite for vertical stability: Comparison of elevation change and the unvegetated-vegetated marsh ratio across southeastern USA coastal wetlands","docAbstract":"Surface elevation tables (SETs) estimate the vertical resilience of coastal wetlands to sea-level rise (SLR) and other stressors but are limited in their spatial coverage. Conversely, spatially integrative metrics based on remote sensing provide comprehensive spatial coverage of horizontal processes but cannot track elevation trajectory at high resolution. Here, we present a critical advance in reconciling vertical and horizontal dynamics by assessing the relationship between elevation change, relative tidal elevation (Z*), and the unvegetated-vegetated marsh ratio (UVVR) across coastal wetland complexes in the southeastern USA. We first used the UVVR to determine the representativeness of the SET site relative to varying spatial footprints across the complex and found that SET sites generally represent the tidal wetland areas in terms of vegetated cover. There is also overall coherence between positive vertical change and high vegetative cover, but we also identified sites with high vegetative cover and negative vertical change (relative to SLR). The only sites exceeding the pace of SLR have UVVR values below the previously established 0.15 threshold. Some sites are not keeping up with SLR despite having intact marsh plains; this may indicate a risk of submergence with undetectable marsh plain loss, or an imminent transition to future open-water conversion. Aggregation of Z* across the same footprint as the UVVR demonstrates consistent coherence between elevation and vegetative cover, with lower elevation sites having larger UVVR. These results indicate that the UVVR is a suitable initial screening tool: areas above the 0.15 threshold are both horizontally and vertically vulnerable. Furthermore, this comparison suggests that horizontal integrity is a prerequisite for vertical stability: a marsh can only maintain elevation if the plain is intact with minimal unvegetated area.
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2024 - Toxicological effects assessment for wildlife in the 21st Century: Review of current methods and recommendations for a path forward","interactions":[],"lastModifiedDate":"2024-05-07T14:11:13.974271","indexId":"70244184","displayToPublicDate":"2023-06-01T09:30:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Toxicological effects assessment for wildlife in the 21st Century: Review of current methods and recommendations for a path forward","docAbstract":"Model species (e.g., granivorous gamebirds, waterfowl, passerines, domesticated rodents) have been used for decades in guideline laboratory tests to generate survival, growth and reproductive data for prospective Ecological Risk Assessments (ERAs) for birds and mammals, while officially adopted risk assessment schemes for amphibians and reptiles do not exist. There are recognized shortcomings of current in vivo methods as well as uncertainty around the extent to which species with different life histories (e.g., terrestrial amphibians, reptiles, bats) than these commonly used models are protected by existing ERA frameworks. Approaches other than validating additional animal models for testing are being developed, but incorporation of such new approach methodologies (NAMs) into risk assessment frameworks will require robust validations against in vivo responses. This takes time, and the ability to extrapolate findings from non-animal studies to organism- and population-level effects in terrestrial wildlife remains weak. Failure to adequately anticipate and predict hazards could have economic and potentially even legal consequences for regulators and product registrants. In order to be able to use fewer animals or replace them altogether in the long-term, vertebrate use and whole organism data will be needed to provide data for NAMs validation in the short term. Therefore, it is worth investing resources for potential updates to existing standard test guidelines used in the laboratory as well as addressing the need for clear guidance on conduct of field studies. Herein we review the potential for improving standard in vivo test methods and for advancing the use of field studies in wildlife risk assessment, as these tools will be needed into the foreseeable future.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.4795","usgsCitation":"Bean, T., Beasley, V., Berny, P., Eisenreich, K., Elliott, J.E., Eng, M.L., Fuchsman, P., Johnson, M.S., King, M., Mateo Soria, R., Meyer, C., Salice, C., and Rattner, B.A., 2024, Toxicological effects assessment for wildlife in the 21st Century: Review of current methods and recommendations for a path forward: Integrated Environmental Assessment and Management, v. 20, no. 3, p. 699-724, https://doi.org/10.1002/ieam.4795.","productDescription":"26 p.","startPage":"699","endPage":"724","ipdsId":"IP-147218","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441268,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4795","text":"Publisher Index 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University","active":true,"usgs":false}],"preferred":false,"id":874801,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mateo Soria, Rafael","contributorId":306131,"corporation":false,"usgs":false,"family":"Mateo Soria","given":"Rafael","email":"","affiliations":[{"id":66375,"text":"IREC (CSIC-UCLM)","active":true,"usgs":false}],"preferred":false,"id":874802,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Meyer, Carolyn B.","contributorId":306132,"corporation":false,"usgs":false,"family":"Meyer","given":"Carolyn B.","affiliations":[{"id":36715,"text":"Arcadis","active":true,"usgs":false}],"preferred":false,"id":874803,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Salice, Christopher J.","contributorId":306133,"corporation":false,"usgs":false,"family":"Salice","given":"Christopher J.","affiliations":[{"id":33107,"text":"Towson University","active":true,"usgs":false}],"preferred":false,"id":874804,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":874805,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70244148,"text":"70244148 - 2024 - Characterizing lung particulates using quantitative microscopy in coal miners with severe pneumoconiosis","interactions":[],"lastModifiedDate":"2024-03-11T14:21:48.053916","indexId":"70244148","displayToPublicDate":"2023-06-01T06:48:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14456,"text":"Archives of Pathology and Laboratory Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing lung particulates using quantitative microscopy in coal miners with severe pneumoconiosis","docAbstract":"Current approaches for characterizing retained lung dust using pathologists' qualitative assessment or scanning electron microscopy with energy-dispersive spectroscopy (SEM/EDS) have limitations.
To explore polarized light microscopy coupled with image-processing software, termed quantitative microscopy–particulate matter (QM-PM), as a tool to characterize in situ dust in lung tissue of US coal miners with progressive massive fibrosis.
We developed a standardized protocol using microscopy images to characterize the in situ burden of birefringent crystalline silica/silicate particles (mineral density) and carbonaceous particles (pigment fraction). Mineral density and pigment fraction were compared with pathologists' qualitative assessments and SEM/EDS analyses. Particle features were compared between historical (born before 1930) and contemporary coal miners, who likely had different exposures following changes in mining technology.
Lung tissue samples from 85 coal miners (62 historical and 23 contemporary) and 10 healthy controls were analyzed using QM-PM. Mineral density and pigment fraction measurements with QM-PM were comparable to consensus pathologists' scoring and SEM/EDS analyses. Contemporary miners had greater mineral density than historical miners (186 456 versus 63 727/mm3; P = .02) and controls (4542/mm3), consistent with higher amounts of silica/silicate dust. Contemporary and historical miners had similar particle sizes (median area, 1.00 versus 1.14 μm2; P = .46) and birefringence under polarized light (median grayscale brightness: 80.9 versus 87.6; P = .29).
QM-PM reliably characterizes in situ silica/silicate and carbonaceous particles in a reproducible, automated, accessible, and time/cost/labor-efficient manner, and shows promise as a tool for understanding occupational lung pathology and targeting exposure controls.
","language":"English","publisher":"Allen Press","doi":"10.5858/arpa.2022-0427-OA","usgsCitation":"Hua, J.T., Cool, C.D., Lowers, H.A., Go, L.H., Zell-Baran, L.M., Sarver, E.A., Almberg, K.S., Pang, K.D., Majka, S.M., Franko, A.D., Vorajee, N.I., Cohen, R.A., and Rose, C.S., 2024, Characterizing lung particulates using quantitative microscopy in coal miners with severe pneumoconiosis: Archives of Pathology and Laboratory Medicine, v. 148, no. 3, p. 327-335, https://doi.org/10.5858/arpa.2022-0427-OA.","productDescription":"9 p.","startPage":"327","endPage":"335","ipdsId":"IP-144183","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":441269,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5858/arpa.2022-0427-oa","text":"Publisher Index Page"},{"id":420752,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W3TTD1","text":"USGS data release","description":"USGS data release","linkHelpText":"Characteristics of dust associated with the development of rapidly progressive pneumoconiosis and progressive massive fibrosis"},{"id":417733,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"148","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hua, Jeremy T.","contributorId":292496,"corporation":false,"usgs":false,"family":"Hua","given":"Jeremy","email":"","middleInitial":"T.","affiliations":[{"id":36955,"text":"National Jewish Health","active":true,"usgs":false}],"preferred":false,"id":874622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cool, Carlyne D.","contributorId":265746,"corporation":false,"usgs":false,"family":"Cool","given":"Carlyne","email":"","middleInitial":"D.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":874623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":874624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Go, Leonard H. T.","contributorId":306069,"corporation":false,"usgs":false,"family":"Go","given":"Leonard","email":"","middleInitial":"H. 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FloPy functionality has expanded to support the latest version of MODFLOW (MODFLOW 6) including support for unstructured grids. FloPy can be used to download MODFLOW-based and other executables for Linux, MacOS, and Windows operating systems, which simplifies the process required to download and use these executables. Expanded FloPy capabilities include (1) full support for structured and unstructured spatial discretizations; (2) geoprocessing of spatial features and raster data to develop model input for supported discretization types; (3) the addition of functionality to provide direct access to simulated output data; (4) extension of plotting capabilities to unstructured MODFLOW 6 discretization types; and (5) the ability to export model data to shapefiles, NetCDF, and VTK formats for processing, analysis, and visualization by other software products. Examples of using expanded FloPy capabilities are presented for a hypothetical watershed. 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