Previous work found that numerous genes positively selected within the hoary bat (Lasiurus cinereus) lineage are physically clustered in regions of conserved synteny. Here I further validate and expand on those finding utilizing an updated L. cinereus genome assembly and additional bat species as well as other tetrapod outgroups.
A chromosome-level assembly was generated by chromatin-contact mapping and made available by DNAZoo (www.dnazoo.org). The genomic organization of orthologous genes was extracted from annotation data for multiple additional bat species as well as other tetrapod clades for which chromosome-level assemblies were available from the National Center for Biotechnology Information (NCBI). Tests of branch-specific positive selection were performed for L. cinereus using PAML as well as with the HyPhy package for comparison.
Twelve genes exhibiting significant diversifying selection in the L. cinereus lineage were clustered within a 12-Mb genomic window; one of these (Trpc4) also exhibited diversifying selection in bats generally. Ten of the 12 genes are landmarks of two distinct blocks of ancient synteny that are not linked in other tetrapod clades. Bats are further distinguished by frequent structural rearrangements within these synteny blocks, which are rarely observed in other Tetrapoda. Patterns of gene order and orientation among bat taxa are incompatible with phylogeny as presently understood, implying parallel evolution or subsequent reversals. Inferences of positive selection were found to be robust to alternative phylogenetic topologies as well as a strong shift in background nucleotide composition in some taxa.
This study confirms and further localizes a genomic hotspot of protein-coding divergence in the hoary bat, one that also exhibits an increased tempo of structural change in bats compared with other mammals. Most genes in the two synteny blocks have elevated expression in brain tissue in humans and model organisms, and genetic studies implicate the selected genes in cranial and neurological development, among other functions.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.17482","usgsCitation":"Cornman, R.S., 2024, A genomic hotspot of diversifying selection and structural change in the hoary bat (Lasiurus cinereus): PeerJ, v. 12, e17482, 32 p., https://doi.org/10.7717/peerj.17482.","productDescription":"e17482, 32 p.","ipdsId":"IP-159824","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439470,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.17482","text":"Publisher Index Page"},{"id":434952,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1YKF5BJ","text":"USGS data release","linkHelpText":"DNA sequences used to analyze evolutionary rates of genes in bats"},{"id":429444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901903,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70256585,"text":"70256585 - 2024 - Broad-scale changes in lesser prairie-chicken habitat","interactions":[],"lastModifiedDate":"2025-02-07T17:39:47.826731","indexId":"70256585","displayToPublicDate":"2024-05-31T06:51:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Broad-scale changes in lesser prairie-chicken habitat","docAbstract":"Lesser prairie-chicken (Tympanuchus pallidicinctus) populations of in the Sand Sagebrush Prairie Ecoregion of southwest Kansas and southeast Colorado, USA, have declined sharply since the mid-1980s. Decreased quality and availability of habitat are believed to be the main drivers of declines. Our objective was to reconstruct broad-scale change in the ecoregion since 1985 as a potential factor in population declines. We assessed temporal change from 1985–2015 in landcover types and calculated landscape metrics using Land Change Monitoring, Assessment, and Projection imagery layers. We also documented presence of anthropogenic structures including oil wells and electrical transmission lines. Landcover type composition changed little since 1990 across the Sand Sagebrush Prairie Ecoregion. However, anthropogenic structures (i.e., oil/gas wells, cell towers, wind farms, and transmission lines) notably increased, potentially causing functional habitat loss at a broad scale. Increased anthropogenic structures may have decreased habitat availability as well as the quality of existing habitat for lesser prairie-chickens, possibly contributing to recent population declines throughout the Sand Sagebrush Prairie Ecoregion.
Groundwater flow between 2014 through 2040 was simulated in the New Jersey Coastal Plain based on three withdrawal scenarios. Two of the scenarios were based on projected population trends and the assumption of water conservation; the nominal water-loss scenario projected a status quo in the efficiency of water loss in the delivery systems whereas the optimal water-loss scenario projected a better water-loss efficiency resulting in less withdrawals. The third scenario assumes that all wells will withdraw water at their full allocation level which is generally much more than reported withdrawals in 2013 or projected under the other two scenarios.
Maps and summaries of heads and drawdowns are presented for nine confined aquifers. All the aquifers have areas with heads below sea level by 2040. Of the three scenarios, the drawdowns are most extreme in the full allocation scenarios; there are large areas of head decline greater than 20 feet in 5 of the 9 confined aquifers. The exceptions are the Vincentown aquifer, despite some areas of large drawdown in the vicinity of wells, and the three Potomac-Raritan-Magothy (PRM) aquifers where withdrawals are regulated by Critical Area restrictions. The nominal and optimal water-loss scenarios have some areas of head declines; most are less than 15 feet. The simulation of these scenarios shows some extensive areas of head recovery as well—especially in the aquifers that are regulated by the Critical Area restrictions.
Budgets of inflow and outflow components were calculated for 44 hydrologic budget areas (HBAs). The budget analysis shows that the water movement is complex and varies based on the aquifer geometry and location of pumping wells. Flow components between the unconfined and confined parts of the system were summarized by HUC11 (hydrologic unit code 11) basins.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245028","collaboration":"Prepared in cooperation with New Jersey Department of Environmental Protection","usgsCitation":"Kauffman, L.J., 2024, Simulated effects of projected 2014–40 withdrawals on groundwater flow and water levels in the New Jersey Coastal Plain: U.S. Geological Survey Scientific Investigations Report 2024–5028, 149 p., https://doi.org/10.3133/sir20245028.","productDescription":"Report: x, 149 p.; Data Release","numberOfPages":"149","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-149036","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":429259,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5028/sir20245028.XML","description":"SIR 2024-5028 XML"},{"id":429258,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245028/full","description":"SIR 2024-5028 HTML"},{"id":429257,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5028/sir20245028.pdf","text":"Report","size":"45.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5028 PDF"},{"id":429256,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5028/coverthb.jpg"},{"id":499456,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117021.htm","linkFileType":{"id":5,"text":"html"}},{"id":429261,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JHGJA5","text":"USGS data release","linkHelpText":"MODFLOW-2005 model used to analyze water-use scenarios in the New Jersey Coastal Plain"},{"id":429260,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5028/images/"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.99277375585163,\n 38.68691666621089\n ],\n [\n -73.55380891210154,\n 38.68691666621089\n ],\n [\n -73.55380891210154,\n 40.54856979898429\n ],\n [\n -75.99277375585163,\n 40.54856979898429\n ],\n [\n -75.99277375585163,\n 38.68691666621089\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
3450 Princeton Pike
Suite 110
Lawrenceville, NJ 08648
In this paper, we provide new information on the stratigraphy and paleoflora of the Sheep Creek volcanic field in the Alaska Range that bolsters our understanding of a key interval in the tectonic, paleoclimate, and paleoenvironmental history of the northern Cordillera. Although the distribution and basic stratigraphy of these rocks have been previously reported, here we document the stratigraphic context of recently dated igneous rocks and paleosols ranging from the Paleocene–Eocene boundary to the early middle Eocene, describe a more complete fossil leaf flora from the succession, and place the Sheep Creek volcanic field in its regional tectonic context of ridge subduction and slab window migration in central Alaska.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1814G","programNote":"Studies by the U.S. Geological Survey in Alaska, Volume 15","usgsCitation":"White, T., Sunderlin, D., and Bradley, D., 2024, Stratigraphy, paleoflora, and tectonic setting of the Paleogene Sheep Creek volcanic field, central Alaska, in Dumoulin, J.A., ed., Studies by the U.S. Geological Survey in Alaska, vol. 15: U.S. Geological Survey Professional Paper 1814–G, 14 p., https://doi.org/10.3133/pp1814G.","productDescription":"iv, 14 p.","numberOfPages":"14","onlineOnly":"Y","ipdsId":"IP-137732","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":429353,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1814/g/pp1814g.pdf","text":"Report","size":"18 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":429352,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1814/g/coverthb.jpg"},{"id":499271,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117019.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -144.60846974251015,\n 59.33672246912704\n ],\n [\n -144.60846974251015,\n 64.64567035100944\n ],\n [\n -157.52839161751018,\n 64.64567035100944\n ],\n [\n -157.52839161751018,\n 59.33672246912704\n ],\n [\n -144.60846974251015,\n 59.33672246912704\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Alaska Science Center staff
U.S. Geological Survey
4210 University Dr.
Anchorage, AK 99508
Alaska Mineral Resources
Alaska Science Center
Individual variation in movement strategies of foraging loggerhead turtles have been documented on the scale of tens to hundreds of kilometers within single ocean basins. Use of different strategies among individuals may reflect variations in resources, predation pressure or competition. It is less common for individual turtles to use different foraging strategies on the scale of kilometers within a single coastal bay. We used GPS tags capable of back-filling fine-scale locations to document movement patterns of loggerhead turtles in a coastal bay in Northwest Florida, U.S.A.
Iridium-linked GPS tags were deployed on loggerhead turtles at a neritic foraging site in Northwest Florida. After filtering telemetry data, point locations were transformed to movement lines and then merged with the original point file to define travel paths and assess travel speed. Home ranges were determined using kernel density function. Diurnal behavioral shifts were examined by examining turtle movements compared to solar time.
Of the 11 turtles tagged, three tracked turtles remained in deep (~ 6 m) water for almost the entire tracking period, while all other turtles undertook movements from deep water locations, located along edges and channels, to shallow (~ 1–2 m) shoals at regular intervals and primarily at night. Three individuals made short-term movements into the Gulf of Mexico when water temperatures dropped, and movement speeds in the Gulf were greater than those in the bay. Turtles exhibited a novel behavior we termed drifting.
This study highlighted the value provided to fine-scale movement studies for species such as sea turtles that surface infrequently by the ability of these GPS tags to store and re-upload data. Future use of these tags at other loggerhead foraging sites, and concurrent with diving and foraging data, would provide a powerful tool to better understand fine-scale movement patterns of sea turtles.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-024-00480-y","usgsCitation":"Lamont, M., Slone, D., Reid, J.P., Butler, S.M., and Alday, J.A., 2024, Deep vs shallow: GPS tags reveal a dichotomy in movement patterns of loggerhead turtles foraging in a coastal bay: Movement Ecology, v. 12, 40, 13 p.; Data Release, https://doi.org/10.1186/s40462-024-00480-y.","productDescription":"40, 13 p.; Data Release","ipdsId":"IP-162093","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439474,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-024-00480-y","text":"Publisher Index Page"},{"id":434953,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13TCY7X","text":"USGS data release","linkHelpText":"Loggerhead Iridium Locations in Northwest Florida 2019-2021"},{"id":430015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"St. Joseph Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.62202950232283,\n 29.94378242941025\n ],\n [\n -85.58665120898003,\n 29.585759941204998\n ],\n [\n -84.96846208319513,\n 29.460191772100785\n ],\n [\n -85.35762330996906,\n 29.938135428200454\n ],\n [\n -85.62202950232283,\n 29.94378242941025\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-05-30","publicationStatus":"PW","contributors":{"authors":[{"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":903491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slone, Daniel 0000-0002-9903-9727","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":213750,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":903492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reid, James P. 0000-0002-8497-1132","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":206849,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":903493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, Susan M. 0000-0003-3676-9332 sbutler@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-9332","contributorId":195796,"corporation":false,"usgs":true,"family":"Butler","given":"Susan","email":"sbutler@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":903494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alday, Joseph A. 0000-0003-2275-5458","orcid":"https://orcid.org/0000-0003-2275-5458","contributorId":296688,"corporation":false,"usgs":true,"family":"Alday","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":903495,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255574,"text":"70255574 - 2024 - Fire effects on geomorphic processes","interactions":[],"lastModifiedDate":"2024-07-15T15:42:50.831134","indexId":"70255574","displayToPublicDate":"2024-05-30T10:07:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9136,"text":"Nature Reviews Earth and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Fire effects on geomorphic processes","docAbstract":"Fire-induced geomorphic changes, such as enhanced erosion and debris-flow activity, are expected to increase with climate change owing to increases in fire activity and rainfall intensification. In this Review, we summarize how landscape attributes, rainfall and burn severity influence post-fire geomorphic responses over a range of temporal and spatial scales. Sub-hourly rainfall intensity and burn severity control the magnitude of many post-fire geomorphic process rates through their influence on ground cover and rainfall-runoff partitioning. Post-fire debris flows (PFDFs) make a substantial contribution to the post-fire sediment cascade, transporting sediment from hillslopes to channels, adjacent floodplains and alluvial fans. By the late twenty-first century, PFDF activity is estimated to increase in 68% of areas in which PFDFs have occurred in the past and decrease in only 2% of locations. Once altered by fire, geomorphic state variables — such as infiltration capacity, canopy cover, ground cover and sediment availability — can recover to their pre-fire value or be shifted to a new value. Improved understanding of the factors that influence these post-fire trajectories could support targeted management and intervention strategies. Additionally, monitoring that extends beyond the first 1–3 years after fire and deeper integration of ecohydrological processes into geomorphic models are needed to improve forecasts of post-fire geomorphic responses.
","language":"English","publisher":"Nature","doi":"10.1038/s43017-024-00557-7","usgsCitation":"McGuire, L., Ebel, B., Rengers, F.K., Vieira, D., and Nyman, P., 2024, Fire effects on geomorphic processes: Nature Reviews Earth and Environment, v. 5, p. 486-503, https://doi.org/10.1038/s43017-024-00557-7.","productDescription":"18 p.","startPage":"486","endPage":"503","ipdsId":"IP-154984","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":430449,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2024-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"McGuire, Luke","contributorId":197027,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","affiliations":[],"preferred":false,"id":904796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":904797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":904798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vieira, Diana","contributorId":339659,"corporation":false,"usgs":false,"family":"Vieira","given":"Diana","email":"","affiliations":[{"id":81374,"text":"European Commission - Joint Research Center","active":true,"usgs":false}],"preferred":false,"id":904799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nyman, Petter","contributorId":187489,"corporation":false,"usgs":false,"family":"Nyman","given":"Petter","email":"","affiliations":[],"preferred":false,"id":904800,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264767,"text":"70264767 - 2024 - Characterizing sulfur redox state and geochemical implications in deep-time using mineral chemistry network analysis","interactions":[],"lastModifiedDate":"2025-03-24T14:56:35.828612","indexId":"70264767","displayToPublicDate":"2024-05-30T09:50:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing sulfur redox state and geochemical implications in deep-time using mineral chemistry network analysis","docAbstract":"Sulfur (S) is a central element in global biogeochemical cycling and Earth’s redox evolution. Minerals that contain S are an important record of local environmental conditions at the time of their formation based on chemical speciation and redox. However, the oxidation state of S for hundreds of different S-containing minerals and thousands of S-containing mineral localities is unknown, largely sulfides and sulfosalts, and the redox state alone does not fully capture mineral chemistry diversity, thus limiting understanding of S redox evolution. Here, we use mineral chemistry network analysis and the weighted Mineral Element Electronegativity Coefficient of Variation (wMEECV) metric to investigate the element interactions and localities of S-containing minerals from the Mineral Evolution Database (MED) to infer the redox state of S in minerals where the redox state is unknown (SU). Louvain community detection of the S mineral chemistry redox network reveals that there are three main network communities that are separated by redox state. The S6+ community includes minerals that contain the S6+ redox state and a small number of S4+ and S2+ minerals, the S2− community includes S2−-containing minerals, and the SU community includes minerals in which the redox state of S is unknown. The wMEECV values of the SU community closely overlap with the wMEECV values of the S2− community, and do not overlap with the wMEECV values of the S6+ community, indicating the SU community minerals contain predominately reduced S. Assuming that SU community minerals contain reduced S, as supported by their network chemical associations and wMEECV values, then reduced S-containing minerals make up approximately 81 % of S-containing mineral localities in the S mineral chemistry network, even though the majority of all mineral localities (S-containing and non-S-containing) are oxygen (O)-containing minerals. Additionally, reduced S-containing minerals make up the majority (∼75 %) of all non-O containing mineral localities in the MED, representing the importance of reduced S as an electron source and substrate in the evolution of microbial metabolic networks. The range wMEECV values of S6+ community minerals expands through time due primarily to formation of chemically diverse sulfate minerals, coinciding with crustal oxidation from the late Proterozoic to Phanerozoic and the expansion of the marine sulfate reservoir. The intersection of shared constituent elements among reduced and oxidized S in the mineral chemistry network represents redox convergence of weathered S in the geosphere that was crucial in the formation of natural resource deposits and the evolution of biogeochemical cycles.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2024.05.024","usgsCitation":"Moore, E.K., Diedolf, J., Morrison, S.M., and Hummer, D., 2024, Characterizing sulfur redox state and geochemical implications in deep-time using mineral chemistry network analysis: Geochimica et Cosmochimica Acta, v. 376, p. 25-36, https://doi.org/10.1016/j.gca.2024.05.024.","productDescription":"12 p.","startPage":"25","endPage":"36","ipdsId":"IP-153851","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":488370,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2024.05.024","text":"Publisher Index Page"},{"id":483712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"376","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Elisha Kelly 0000-0002-9750-7769","orcid":"https://orcid.org/0000-0002-9750-7769","contributorId":334043,"corporation":false,"usgs":true,"family":"Moore","given":"Elisha","email":"","middleInitial":"Kelly","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":931586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diedolf, Joseph IV","contributorId":352519,"corporation":false,"usgs":false,"family":"Diedolf","given":"Joseph","suffix":"IV","affiliations":[{"id":84250,"text":"Department of Environmental Science, School of Earth and the Environment, Rowan University, Glassboro, NJ, United States","active":true,"usgs":false}],"preferred":false,"id":931587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morrison, Shaunna M.","contributorId":261814,"corporation":false,"usgs":false,"family":"Morrison","given":"Shaunna","email":"","middleInitial":"M.","affiliations":[{"id":53026,"text":"Carnegie Institute for Science","active":true,"usgs":false}],"preferred":false,"id":931588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hummer, Daniel","contributorId":334048,"corporation":false,"usgs":false,"family":"Hummer","given":"Daniel","email":"","affiliations":[{"id":80056,"text":"School of Earth Systems and Sustainability, Southern Illinois University, Carbondale, Il, United States","active":true,"usgs":false}],"preferred":false,"id":931589,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254663,"text":"70254663 - 2024 - Formation and evolution of the Pacific-North American (San Andreas) plate boundary: Constraints from the crustal architecture of northern California","interactions":[],"lastModifiedDate":"2024-06-06T14:50:55.689614","indexId":"70254663","displayToPublicDate":"2024-05-30T09:46:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Formation and evolution of the Pacific-North American (San Andreas) plate boundary: Constraints from the crustal architecture of northern California","docAbstract":"The northward migration of the Mendocino triple junction (MTJ) drives a fundamental plate boundary transformation from convergence to translation; producing a series of strike-slip faults, that become the San Andreas plate boundary. We find that the 3-D structure of the Pacific plate lithosphere in the vicinity of the MTJ controls the location of San Andreas plate boundary formation. At the time of initiation of the Pacific-North America plate boundary (∼30 Ma), the sequential interaction with the western margin of North America of the Pioneer Fracture Zone, soon followed by the Mendocino Fracture Zone, led to the capture of a small segment of partially subducted Farallon lithosphere by the Pacific plate, termed the Pioneer Fragment (PF). Since that time, the PF has translated with the Pacific Plate along the western margin of North America. Recently developed, high-resolution seismic-tomographic imagery of northern California indicates that (a) the PF is extant, occupying the western half of the slab window, immediately south of the MTJ; (b) the eastern edge of the PF lies beneath the newly forming Maacama fault system, which develops to become the locus for the primary plate boundary structure after approximately 6–10 Ma; and (c) the location of the translating PF adjacent to the asthenosphere of the slab window generates a shear zone within and below the crust that develops into the plate boundary faults. As a result, the San Andreas plate boundary forms interior to the western margin of North America, rather than at its western edge.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023TC007963","usgsCitation":"Furlong, K.P., Villasenor, A., Benz, H.M., and McKenzie, K.A., 2024, Formation and evolution of the Pacific-North American (San Andreas) plate boundary: Constraints from the crustal architecture of northern California: Tectonics, v. 43, no. 6, e2023TC007963, 23 p., https://doi.org/10.1029/2023TC007963.","productDescription":"e2023TC007963, 23 p.","ipdsId":"IP-151540","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":439477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023tc007963","text":"Publisher Index Page"},{"id":429573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.8071147290406,\n 42.033195714112196\n ],\n [\n -125.8071147290406,\n 38.13155003327262\n ],\n [\n -122.14371876300378,\n 38.13155003327262\n ],\n [\n -122.14371876300378,\n 42.033195714112196\n ],\n [\n -125.8071147290406,\n 42.033195714112196\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Furlong, Kevin P. 0000-0002-2674-5110","orcid":"https://orcid.org/0000-0002-2674-5110","contributorId":19576,"corporation":false,"usgs":false,"family":"Furlong","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":902188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villasenor, Antonio","contributorId":335226,"corporation":false,"usgs":false,"family":"Villasenor","given":"Antonio","affiliations":[{"id":80350,"text":"Institut de Ciències del Mar, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":902189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":902190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenzie, Kirsty A. 0000-0001-6665-7812","orcid":"https://orcid.org/0000-0001-6665-7812","contributorId":337187,"corporation":false,"usgs":false,"family":"McKenzie","given":"Kirsty","email":"","middleInitial":"A.","affiliations":[{"id":16637,"text":"University of North Carolina, Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":902191,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269003,"text":"70269003 - 2024 - Effects of telemetry collars on two free-roaming feral equid species","interactions":[],"lastModifiedDate":"2025-07-14T14:23:23.292109","indexId":"70269003","displayToPublicDate":"2024-05-30T09:16:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Effects of telemetry collars on two free-roaming feral equid species","docAbstract":"There are two species of free-roaming feral equids in North America: horses (Equus caballus) and donkeys or “burros” (E. asinus). Both species were introduced as domestic animals to North America in the early 1500s and currently inhabit rangelands across the western United States, Canada, and all continents except Antarctica. Despite their global distribution, little is known about their fine scale spatial ecology. Contemporary research tools to assess space use include global positioning system (GPS) tracking collars, but older models were problematic due to stiff collar belting causing poor fit. We tested modern designs of GPS collars on n = 105 horses and n = 60 burros for 4 years in five populations (3 horse, 2 burro) across the western United States, to assess whether collars posed welfare risks to horses or burros. We found no difference in survival of collared versus uncollared mares and jennies, and no difference in survival of their foals. In 4036 of 4307 observations for horses (93.7%) and 2115 of 2258 observations for burros (93.6%), collars were observed symmetrical, maintaining proper fit on the neck. Fur effects from collars (sweaty neck, indented fur, broken fur) were seen in 3% of horse observations and 25% of burro observations. Superficial effects (chafes and marks on skin surface) were seen in 2% of horse observations and 11% of burro observations; no severe effects from collars were seen. Body condition was not affected by collars; mean body condition of collared horses was 4.70 ± 0.54 (mean ± s.d) and 4.71 ± 0.65 for collared burros. Behavior results indicated minimal effects; collared horses stood slightly more than uncollared, and collared burros stood and foraged more in one population, but not in the other. For 6.3% of observations of horses and 6.4% of observations of burros, we found an effect of time wearing a collar on the cumulative sum of fur effects which increased over time (burros: rs = 0.87, P = <0.0001; horses: rs = 0.31, P = 0.002). Burros also showed an increase over time in the number of superficial effects, but horses did not. Collars occasionally moved into the wrong position, shifting forward over the ears; we observed this on 19 horses and 1 burro. Of those, most collars went over the ears in summer (n = 12). All collars were equipped with a remote release mechanism as well as a timed-release mechanism for redundancy, thus removed when observed in wrong position to avoid rubbing or discomfort. Our finding of no consequential physical effects in 98% of horse observations, and 89% of burro observations suggests the consequences of collars on free-roaming equid welfare and survival is biologically insignificant, although collars should be monitored regularly and continue to be equipped with a remote release mechanism to remove a collar if needed. With frequent welfare-driven, visual monitoring, collaring of free-roaming equids can be a safe and useful tool to increase our understanding of their spatial ecology, demography, habitat use, behavior, and interactions with other wildlife.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0303312","usgsCitation":"Schoenecker, K., King, S., Hennig, J.D., Cole, M., Scasta, J., and Beck, J., 2024, Effects of telemetry collars on two free-roaming feral equid species: PLoS ONE, v. 19, no. 5, e0303312, 25 p., https://doi.org/10.1371/journal.pone.0303312.","productDescription":"e0303312, 25 p.","ipdsId":"IP-153889","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492801,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13ZSTSU","text":"USGS data release","linkHelpText":"Data Describing Effects of Telemetry Collars on Horses and Burros Between 2016 and 2020"},{"id":492486,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0303312","text":"Publisher Index Page"},{"id":492200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.06222303379008,\n 41.072757505190026\n ],\n [\n -107.36220051733886,\n 41.115245664294946\n ],\n [\n -107.40026474431968,\n 42.06499507596479\n ],\n [\n -110.54265920350724,\n 42.13895203896956\n ],\n [\n -113.98376776007635,\n 39.63181029788828\n ],\n [\n -113.82085343427966,\n 33.356188610084644\n ],\n [\n -109.78674675994066,\n 33.290579751792464\n ],\n [\n -109.06222303379008,\n 41.072757505190026\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sarah","contributorId":357927,"corporation":false,"usgs":false,"family":"King","given":"Sarah","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":942885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hennig, Jacob D.","contributorId":177569,"corporation":false,"usgs":false,"family":"Hennig","given":"Jacob","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":942886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cole, Mary C.","contributorId":357931,"corporation":false,"usgs":false,"family":"Cole","given":"Mary C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":942887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scasta, J. Derek","contributorId":357933,"corporation":false,"usgs":false,"family":"Scasta","given":"J. Derek","affiliations":[{"id":85567,"text":"University of WY","active":true,"usgs":false}],"preferred":false,"id":942888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beck, Jeffrey L.","contributorId":357934,"corporation":false,"usgs":false,"family":"Beck","given":"Jeffrey L.","affiliations":[{"id":85567,"text":"University of WY","active":true,"usgs":false}],"preferred":false,"id":942889,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261201,"text":"70261201 - 2024 - Human activities shape global patterns of decomposition rates in rivers","interactions":[],"lastModifiedDate":"2024-11-29T15:16:46.375837","indexId":"70261201","displayToPublicDate":"2024-05-30T09:03:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Human activities shape global patterns of decomposition rates in rivers","docAbstract":"Rivers and streams contribute to global carbon cycling by decomposing immense quantities of terrestrial plant matter. However, decomposition rates are highly variable and large-scale patterns and drivers of this process remain poorly understood. Using a cellulose-based assay to reflect the primary constituent of plant detritus, we generated a predictive model (81% variance explained) for cellulose decomposition rates across 514 globally distributed streams. A large number of variables were important for predicting decomposition, highlighting the complexity of this process at the global scale. Predicted cellulose decomposition rates, when combined with genus-level litter quality attributes, explain published leaf litter decomposition rates with high accuracy (70% variance explained). Our global map provides estimates of rates across vast understudied areas of Earth and reveals rapid decomposition across continental-scale areas dominated by human activities.
","language":"English","publisher":"AAAS","doi":"10.1126/science.adn1262","usgsCitation":"Tiegs, S., Capps, K., Costello, D.M., Schmidt, J.P., Patrick, C., Follstad Shah, J., LeRoy, C.J., Acuna, V., Albarino, R., Allen, D., Alonso, C., Andino, P., Arango, C., Aroviita, J., Barbosa, M., Barmuta, L.A., Baxter, C., Bellinger, B., Boyero, L., Bragina, L., Brown, L.E., Bruder, A., Bruesewitz, D., Burdon, F., Callisto, M., Camacho, A.G., Canhoto, C., Castillo, M., Chauvet, E., Clapcott, J., Colas, F., Colon-Gaud, C., Cornut, J., Crespo-Perez, V., Cross, W., Culp, J.M., Danger, M., Dangles, O., de Eyto, E., Derry, A., Diaz-Villanueva, V., Douglas, M., Elosegi, A., Encalada, A., Entrekin, S., Espinosa, R., Ferreira, V., Ferriol, C., Flanagan, K., Flecker, A., Fleituch, T., Frainer, A., Friberg, N., Frost, P., Garcia, E.A., Garcia-Lago, L., Garcia Soto, P., Gessner, M., Ghate, S., Giling, D., Gilmer, A., Goncalves, J., Gonzales, R., Graca, M., Grace, M., Griffiths, N.A., Grossart, H., Guerold, F., Gulis, V., Gutiérrez-Fonseca, P., Hepp, L., Higgins, S., Hishi, T., Huddart, J., Hudson, J.P., Imberger, M., Iniguez-Armijos, C., Isken, M., Iwata, T., Janetski, D., Kirkwood, A., Koning, A., Kosten, S., Kuehn, K., Laudon, H., Leavitt, P., Lemes da Silva, A., Leroux, S., Lisi, P., Mackenzie, R., Marcarelli, A.M., Masese, F., McIntyre, P.B., McKie, B.G., Medeiros, A., Meissner, K., Milisa, M., Mishra, S., Miyake, Y., Moerke, A., Mombrikotb, S., Mooney, R.J., Moulton, T., Muotka, T., Negishi, J.N., Neres-Lima, V., Nieminen, M., Nimptsch, J., Ondruch, J., Paavola, R., Pardo, I., Peeters, E., Pozo, J., Prussian, A., Quenta, E., Reid, B., Richardson, J.S., Rigosi, A., Rincon, J., Risnoveanu, G., Robinson, C., Rodriguez-Gallego, L., Royer, T.V., Rusak, J.A., Santamans, A., Selmeczy, G., Simiyu, G., Skuja, A., Smykla, J., Sponseller, R.A., Sridhar, K., Stoler, A., Swan, C.M., Teixeira-de Mello, F., Tonkin, J., Uusheimo, S., Veach, A., Vilbaste, S., Vought, L., Wang, C., Webster, J., Wilson, P.B., Woelfl, S., Woodward, G., Xenopoulos, M., Yates, A., Yoshimura, C., Yule, C., Zhang, Y., and Zwart, J.A., 2024, Human activities shape global patterns of decomposition rates in rivers: Science, v. 384, no. 6701, p. 1191-1195, https://doi.org/10.1126/science.adn1262.","productDescription":"5 p.","startPage":"1191","endPage":"1195","ipdsId":"IP-160431","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":467002,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04652223","text":"External Repository"},{"id":464591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"384","issue":"6701","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tiegs, 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backpack-harness effects on greater sage-grouse survival and device retention in the Great Basin","docAbstract":"Wildlife tracking studies have become ubiquitous in ecology and now provide previously unobtainable data regarding individual movement, vital rates, and population demographics. However, tracking devices can potentially reduce survival of study subjects, generating biases in the vital rates they seek to measure. Previous studies have found that greater sage-grouse (Centrocercus urophasianus) fitted with Global Positioning System (GPS) tracking devices may experience reduced survival, relative to those tracked with traditional radio transmitters, and have documented skin abrasions and lacerations associated with typical backpack-style GPS harnesses. We implemented an experimental study comparing survival and harness retention between 2 different backpack-style GPS transmitter harnesses. We captured female sage-grouse at 3 study sites in the northwest Great Basin of Oregon, Nevada, and California during 2019–2021. We fit each individual, following previously published recommendations, with either a standard backpack harness or a modified harness hypothesized to reduce skin abrasion and laceration. We used known-fate models in Program MARK to model variation in survival and harness retention separately as a function of harness type, year, age, a linear effect of time, and the ratio of the device to individual body mass. Neither survival nor retention varied systematically by harness type, however retention decreased as a function of body mass ratio. We echo previous recommendations for standardized harness attachment protocols and studies designed to isolate and test potential mechanisms by which tracking devices and attachment methods might affect survival and well-being of sage-grouse and other tracked species.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1523","usgsCitation":"Lundblad, C.G., Anthony, C.R., Dungannon, T., Haab, K.A., Schuyler, E., Sink, C.E., Dugger, K., and Hagen, C., 2024, Evaluating satellite-transmitter backpack-harness effects on greater sage-grouse survival and device retention in the Great Basin: The Wildlife Society Bulletin, v. 48, no. 2, e1523, 15 p., https://doi.org/10.1002/wsb.1523.","productDescription":"e1523, 15 p.","ipdsId":"IP-154308","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":439479,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1523","text":"Publisher Index Page"},{"id":430129,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California Nevada, Oregon","otherGeospatial":"Great 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University","active":true,"usgs":false}],"preferred":false,"id":903643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haab, Kimberly A.","contributorId":338863,"corporation":false,"usgs":false,"family":"Haab","given":"Kimberly","email":"","middleInitial":"A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuyler, Elizabeth M.","contributorId":338867,"corporation":false,"usgs":false,"family":"Schuyler","given":"Elizabeth M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sink, Chelsea E.","contributorId":338870,"corporation":false,"usgs":false,"family":"Sink","given":"Chelsea","email":"","middleInitial":"E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903646,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903647,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hagen, Christian A.","contributorId":338874,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903648,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70254278,"text":"fs20243015 - 2024 - Assessment of undiscovered oil and gas resources of the North Chukchi Basin, outer continental shelf of the Chukchi and East Siberian Seas, Arctic Ocean, 2023","interactions":[],"lastModifiedDate":"2026-01-27T17:55:31.16331","indexId":"fs20243015","displayToPublicDate":"2024-05-29T09:52:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3015","displayTitle":"Assessment of Undiscovered Oil and Gas Resources of the North Chukchi Basin, Outer Continental Shelf of the Chukchi and East Siberian Seas, Arctic Ocean, 2023","title":"Assessment of undiscovered oil and gas resources of the North Chukchi Basin, outer continental shelf of the Chukchi and East Siberian Seas, Arctic Ocean, 2023","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean volumes of 1.8 billion barrels of oil and 119.9 trillion cubic feet of gas technically recoverable from undiscovered, conventional accumulations in Cretaceous and Cenozoic strata of the North Chukchi Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243015","programNote":"National and Global Petroleum Assessment","usgsCitation":"Houseknecht, D.W., Markey, C.P., Mercier, T.J., Schenk, C.J., Connors, C.D., Gooley, J.T., Botterell, P.J., Smith, R.A., Rouse, W.A., and Garrity, C.P., 2024, Assessment of undiscovered oil and gas resources of the North Chukchi Basin, outer continental shelf of the Chukchi and East Siberian Seas, Arctic Ocean, 2023 (ver. 1.2, July 2024): U.S. Geological Survey Fact Sheet 2024–3015, 4 p., https://doi.org/10.3133/fs20243015.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-159777","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":499118,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117018.htm","linkFileType":{"id":5,"text":"html"}},{"id":429520,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243015/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3015"},{"id":429506,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3015/fs20243015.xml"},{"id":429498,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2024/3015/version_Hist.txt","size":"4.00 KB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2024-3015 version history"},{"id":428754,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1O4VPJS","text":"USGS data release","linkHelpText":"National and Global Petroleum Assessment—North Chukchi Basin Province: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":428753,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3015/fs20243015.pdf","text":"Report","size":"1.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3015"},{"id":429505,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3015/images"},{"id":428752,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3015/coverthb3.jpg"}],"country":"Russia, United States","otherGeospatial":"Chukchi Sea, East Siberian Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n 75\n ],\n [\n -179.9,\n 65\n ],\n [\n -140,\n 65\n ],\n [\n -140,\n 75\n ],\n [\n -179.9,\n 75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 160,\n 65\n ],\n [\n 179.9,\n 65\n ],\n [\n 179.9,\n 75\n ],\n [\n 160,\n 75\n ],\n [\n 160,\n 65\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: May 2024; Version 1.1: June 2024; Version 1.2: July 2024","contact":"Director, Geology, Energy & Minerals Science Center
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12201 Sunrise Valley Drive
954 National Center
Reston, VA 20192
Analysis of 70 years of snowfall in the Northern Hemisphere reveals that snow buffers the effect of varying precipitation levels on streamflow. The link highlights the need to rethink water-resource management as snow levels decline.
","language":"English","publisher":"Nature","doi":"10.1038/d41586-024-01239-6","usgsCitation":"Ryberg, K.R., 2024, Why snow is crucial for water supply — And what will happen when it becomes scarce: Nature, v. 629, p. 1013-1014, https://doi.org/10.1038/d41586-024-01239-6.","productDescription":"2 p.","startPage":"1013","endPage":"1014","ipdsId":"IP-164824","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":429867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"629","noUsgsAuthors":false,"publicationDate":"2024-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902947,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70254782,"text":"70254782 - 2024 - Two risk assessments: Evaluating the use of indicator HF183 Bacteroides versus pathogen measurements for modelling recreational illness risks in an urban watershed","interactions":[],"lastModifiedDate":"2024-06-18T14:02:16.226227","indexId":"70254782","displayToPublicDate":"2024-05-29T08:30:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Two risk assessments: Evaluating the use of indicator HF183 Bacteroides versus pathogen measurements for modelling recreational illness risks in an urban watershed","title":"Two risk assessments: Evaluating the use of indicator HF183 Bacteroides versus pathogen measurements for modelling recreational illness risks in an urban watershed","docAbstract":"The purpose of this study was to evaluate the performance of HF183 Bacteroides for estimating pathogen exposures during recreational water activities. We compared the use of Bacteroides-based exposure assessment to exposure assessment that relied on pathogen measurements. We considered two types of recreational water sites: those impacted by combined sewer overflows (CSOs) and those not impacted by CSOs. Samples from CSO-impacted and non-CSO-impacted urban creeks were analysed by quantitative polymerase chain reaction (qPCR) for HF183 Bacteroides and eight human gastrointestinal pathogens. Exposure assessment was conducted two ways for each type of site (CSO-impacted vs. non-CSO impacted): 1) by estimating pathogen concentrations from HF183 Bacteroides concentrations using published ratios of HF183 and pathogens in sewage and 2) by estimating pathogen concentrations from qPCR measurements. QMRA (quantitative microbial risk assessment) was then conducted for swimming, wading, and fishing exposures. Overall, mean risk estimates varied from 0.27 to 53 illnesses per 1,000 recreators depending on exposure assessment, site, activity, and norovirus dose-response model. HF183-based exposure assessment identified CSO-impacted sites as higher risk, and the recommended HF183 risk-based threshold of 525 genomic copies per 100 mL was generally protective of public health at the CSO-impacted sites but was not as protective at the non-CSO-impacted sites. In the context of our urban watershed, HF183-based exposure assessment over- and under-estimated risk relative to exposure assessment based on pathogen measurements and the etiology of predicted pathogen-specific illnesses differed significantly. Across all sites, the HF183 model overestimated risk for norovirus, adenovirus, and Campylobacter jejuni, and it underestimated risk for E. coli and Cryptosporidium. To our knowledge, this study is the first to directly compare health risk estimates using HF183 and empirical pathogen measurements from the same waterways. Our work highlights the importance of site-specific hazard identification and exposure assessment to decide whether HF183 is applicable for monitoring risk.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2024.121852","usgsCitation":"Skiendzielewski, K., Burch, T., Stokdyk, J.P., McGinnis, S., McLoughlin, S., Firnstahl, A.D., Spencer, S., Borchardt, M.A., and Murphy, H., 2024, Two risk assessments: Evaluating the use of indicator HF183 Bacteroides versus pathogen measurements for modelling recreational illness risks in an urban watershed: Water Research, v. 259, 121852, 16 p., https://doi.org/10.1016/j.watres.2024.121852.","productDescription":"121852, 16 p.","ipdsId":"IP-159977","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439482,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2024.121852","text":"Publisher Index Page"},{"id":429633,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","city":"Philadelphia","otherGeospatial":"Cobbs Creek, Tacony Creek, Wissahickon Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.85988405796229,\n 40.143466276240844\n ],\n [\n -75.36578555034887,\n 40.16571325279898\n ],\n [\n -75.46114396657245,\n 39.85973677036142\n ],\n [\n -75.14696307943568,\n 39.87128371570064\n ],\n [\n -75.07770275607366,\n 39.95290291070239\n ],\n [\n -74.85988405796229,\n 40.143466276240844\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"259","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Skiendzielewski, K","contributorId":299292,"corporation":false,"usgs":false,"family":"Skiendzielewski","given":"K","email":"","affiliations":[],"preferred":false,"id":902522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":902523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGinnis, Shannon","contributorId":203051,"corporation":false,"usgs":false,"family":"McGinnis","given":"Shannon","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":902525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLoughlin, S","contributorId":299293,"corporation":false,"usgs":false,"family":"McLoughlin","given":"S","affiliations":[],"preferred":false,"id":902526,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","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":902527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Spencer, Sandy","contributorId":302981,"corporation":false,"usgs":false,"family":"Spencer","given":"Sandy","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902528,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":902529,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Heather","contributorId":203052,"corporation":false,"usgs":false,"family":"Murphy","given":"Heather","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":902530,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70254582,"text":"70254582 - 2024 - Temporally dense monitoring of pathogen occurrence at four drinking-water well sites – Insights and Implications","interactions":[],"lastModifiedDate":"2024-06-03T12:02:06.269876","indexId":"70254582","displayToPublicDate":"2024-05-29T06:59:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Temporally dense monitoring of pathogen occurrence at four drinking-water well sites – Insights and Implications","docAbstract":"Yearlong, event based, microbiological and chemical sampling was conducted at four public water supply well sites spanning a range of geologic settings and well depths to look for correlation between precipitation events and microbial occurrence. Near-continuous monitoring using autosamplers occurred just before, during, and after 5–7 sampling events triggered by rainfall and/or snowmelt. Microbial genetic material was noted at all four locations during all but one sampling event, but was exceedingly variable in time, where one sample would have no detections and the next sample could be a relatively high concentration. The highest microbial sums (microbial concentrations summed over an event) were observed during months in which precipitation exceeded historical averages. Extended wet conditions through the spring thaw resulted in the highest percentage of microbial positive samples, though at relatively low concentrations. Sampling events that followed drier than normal periods showed longer lag times between the onset of precipitation and microbial occurrence, as well as lower microbial detection rates. Although a general lag time pattern was observed at each site, the largest offset in time was observed at the site with the greatest depth to water. The study's temporally dense representation of drinking water pathogen characterization suggests that single event or infrequent periodic sampling of a drinking water supply cannot provide a representative characterization of the probability that pathogens are present, which likely has ramifications for calculating health risk assessments.
Species distributions are often indicative of historical biogeographical events and contemporary spatial biodiversity patterns. The Harlequin Duck Histrionicus histrionicus is a sea duck of conservation concern that has a disjunct distribution, with discrete portions of its range associated with northern Pacific and Atlantic Ocean basins. Movement data indicate migratory connectivity within regions of each ocean basin but not cross-continent dispersal, suggesting that genetic structuring could exist at multiple spatial scales. Little is known regarding the impacts of past vicariance events on the species phylogeographical structure and historical demography, or rates of gene flow at different spatial scales. We used data from microsatellite loci and mitochondrial DNA (mtDNA) sequences to quantify levels of genetic diversity within, and the extent of spatial genetic differentiation among locations sampled at multiple spatial scales across the species range. Samples were collected at nonbreeding locations, which represent groupings appropriate for characterizing genetically differentiated subgroups at regional and continental scales. Collectively, genetic data and coalescence modelling suggested that individuals colonized regions currently occupied within both ocean basins in the Holocene from a single refuge in the Atlantic. Further, it seems likely there was secondary contact with lineages derived from populations in Asia, based on the shallow species-wide mtDNA phylogeny and high incidence of recently derived private mtDNA haplotypes. Estimates of inter-location variance in microsatellite allele and mtDNA haplotype frequency were moderate and significant between western (Pacific – North America) and eastern (Atlantic – North America, Greenland and Iceland) ocean basins and among sampling groups within each ocean basin. Genetic differentiation among sampling groups was particularly evident at the species distributional margins in the Atlantic (Iceland) and the Pacific (Shemya Island) Ocean basins. Coalescent modelling results suggest that contemporary spatial genetic patterns in the species arose through the combined influences of secondary contact, shared ancestry and gene flow after the last glacial maxima.
No abstract available.
","language":"English","publisher":"Cornell University","doi":"10.7298/2nqt-1s83","usgsCitation":"Colberg, E., Morelli, T.L., and Brown-Lima, C., 2024, Guidelines for climate-smart invasive species management, 16 p., https://doi.org/10.7298/2nqt-1s83.","productDescription":"16 p.","ipdsId":"IP-166898","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":486067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Colberg, Eva M.","contributorId":355425,"corporation":false,"usgs":false,"family":"Colberg","given":"Eva M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":937389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":937167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown-Lima, Carrie J.","contributorId":347882,"corporation":false,"usgs":false,"family":"Brown-Lima","given":"Carrie J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":937390,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70254545,"text":"70254545 - 2024 - Thermal transfer rate is slower in bigger fish: How does body size affect response time of small, implantable temperature recording tags?","interactions":[],"lastModifiedDate":"2024-11-04T19:34:44.878213","indexId":"70254545","displayToPublicDate":"2024-05-28T08:27:53","publicationYear":"2024","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":"Thermal transfer rate is slower in bigger fish: How does body size affect response time of small, implantable temperature recording tags?","docAbstract":"The recent miniaturisation of implantable temperature recording tags has made measuring the water temperatures fish experience in the wild possible, but there may be a body size-dependent delay in implanted tag response time to changes in external temperature. To determine whether fish body size affects the response rate of implanted temperature tags, we implanted 20 Salvelinus fontinalis (127–228 mm fork length (FL), 15.1–120.4 g) with temperature recording tags and subjected them to rapid temperature changes (±8°C in less than 2 seconds) in the laboratory. We found that thermal transfer rates, and the lag in temperature tag response rate, was positively correlated with fish size, but the direction of temperature change (colder or warmer) had no significant effect. In fish exposed to a slower rate of temperature change (2°C h−1) implanted tags did not show a response lag. Understanding the limitations of this important technology is crucial to determining the utility of the data it produces and its ability to accurately measure fish thermal experience in the wild.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12794","usgsCitation":"O'Donnell, M.J., Regish, A.M., McCormick, S.D., and Letcher, B., 2024, Thermal transfer rate is slower in bigger fish: How does body size affect response time of small, implantable temperature recording tags?: Ecology of Freshwater Fish, v. 33, no. 4, e12794, 17 p., https://doi.org/10.1111/eff.12794.","productDescription":"e12794, 17 p.","ipdsId":"IP-159265","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":429398,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"O'Donnell, Matthew J. 0000-0002-9089-2377","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":295467,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Matthew","middleInitial":"J.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":901833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901836,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256078,"text":"70256078 - 2024 - MTAB 108, May 2024","interactions":[],"lastModifiedDate":"2024-07-19T13:15:13.771281","indexId":"70256078","displayToPublicDate":"2024-05-28T08:13:55","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":13451,"text":"Memo to All Banders (MTAB)","active":true,"publicationSubtype":{"id":30}},"title":"MTAB 108, May 2024","docAbstract":"This Memo to All Banders (MTAB 108) was released in May 2024. Subjects in this this memo are 1. The Chief’s Chirp; 2. Alerts – Highly Pathogenic Avian Influenza and reminder that banders cannot submit data through Bandit, only manage data; 3. Staff updates – meeting reports, BBL staff visits Foreman's Branch; 4. News – American Woodcock Migration, Women in Banding, and Surviving Migration Through an Urban Landscape; 5. A note from the permitting shelves – we are receiving a high volume of permit requests; 6. A note from the supply room – remove rejected band transfers from the Portal, and check your bands before banding; 7. Frequently asked questions – what's the difference between record lost, band lost, and band destroyed?; 8. Data management – helpful hint; 9. Banding and encounter highlights; 10. Auxiliary marker corner – check out our guide to submitting auxiliary marking data! and a note to shorebird banders; 11. Moments in history – World Migratory Bird Day; 12. Recent Publications; 13. Upcoming events; and 14. Request for information.
","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Harvey, K., and McKay, J.L., 2024, MTAB 108, May 2024: Memo to All Banders (MTAB), 14 p.","productDescription":"14 p.","ipdsId":"IP-166503","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":431241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":431228,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/mtab-108-may-2024"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Kyra 0000-0003-4781-1874","orcid":"https://orcid.org/0000-0003-4781-1874","contributorId":296250,"corporation":false,"usgs":true,"family":"Harvey","given":"Kyra","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":906627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKay, Jennifer L. 0000-0002-8893-0231","orcid":"https://orcid.org/0000-0002-8893-0231","contributorId":296562,"corporation":false,"usgs":true,"family":"McKay","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":906670,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70254596,"text":"70254596 - 2024 - Retrospective review of the pathology of American pikas","interactions":[],"lastModifiedDate":"2024-10-07T16:07:57.929787","indexId":"70254596","displayToPublicDate":"2024-05-28T06:43:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2492,"text":"Journal of Veterinary Diagnostic Investigation","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective review of the pathology of American pikas","docAbstract":"Soil erosion rates after wildfire are strongly controlled by intrinsic properties such as topography, weather, climate, soil, and vegetation. These landscape and hydroclimatic properties are important in determining post-fire erosion rates; however, their influence on post-fire erosion and their interaction with the intensity of a wildfire remains uncertain. A key limitation in resolving this uncertainty is the lack of conceptual models and frameworks for organising data related to the geomorphic sensitivity of landscapes to wildfire. Our aim is to develop a framework for consolidating understanding of post-fire erosion in the context of hydroclimatic conditions which contribute to system states, for example soil and vegetation properties, and wildfire regime. The framework is developed around a simple conceptual model where the change in erosion due to wildfire is a product of change in runoff generation and sediment supply, which is strongly related to landscape net primary productivity (NPP). We hypothesised that geomorphic sensitivity to wildfire should vary as a unimodal humped relationship across a gradient of NPP, peaking at an intermediate level. To develop this framework and to test the hypothesis, we first review intrinsic soil and vegetation properties related to the supply and transport of sediment from burned and unburned hillslopes. Net primary productivity is systematically related to these intrinsic properties because it integrates many processes involved in soil and vegetation development. Empirical data indicate a trend in the change in surface runoff generation with NPP after wildfire, peaking at an NPP of approximately 15 Mg C ha−1 y−1. A simple model of fuel availability and soil heating are correlated with a similar “humped” trend in sediment supply. These results are consistent with our conceptual model, which indicates that sediment supply and runoff contribute towards a distinct peak in wildfire effects on erosion at an intermediate level of NPP. We propose that landscapes of intermediate NPP typically have the highest quantity of fuel available to burn, which cause large changes to the soil surface properties. Landscapes at intermediate NPP also tend to produce intrinsic soil and vegetation properties that promote erosion after wildfire. The interplay between these short and long-term landscape characteristics is strongest at intermediate levels of NPP. Our proposed biogeographic model of geomorphic sensitivity to wildfire was supported by erosion data from burned hillslope and zero-order catchments studies from a range fire-prone landscapes in Australia and North America. Our proposed conceptual model will help identify areas most vulnerable to post-fire erosion changes.
The loss of tidal wetlands in the San Francisco Bay estuary have led to declines in native fish presence. Restoration of tidal wetlands in this area has intensified, with a primary goal of increasing the number of native fishes. We compared the presence of longfin smelt in naturally accreted and beneficial dredge reuse wetlands as a measure of successful restoration. We used environmental DNA (eDNA) analyses as our metric for fish presence and fish community composition, employing two different water sampling methods for comparison (standard and high-volume). Longfin smelt were present in multiple sites, but at numbers too low for accurate comparisons across sites. Community composition varied based on the water sampling method, but the presence/absence of longfin smelt was consistent across sampling methods. As this represents a pilot study, further refinement of methodology is necessary, but the use of high-volume water sampling methods is promising.
Agricultural and urban management practices (MPs) are primarily designed and implemented to reduce nutrient and sediment concentrations in streams. However, there is growing interest in determining if MPs produce any unintended positive effects, or co-benefits, to instream biological and habitat conditions. Identifying co-benefits is challenging though because of confounding variables (i.e., those that affect both where MPs are applied and stream biota), which can be accounted for in novel causal inference approaches. Here, we used two causal inference approaches, propensity score matching (PSM) and Bayesian network learning (BNL), to identify potential MP co-benefits in the Chesapeake Bay watershed portion of Maryland, USA. Specifically, we examined how MPs may modify instream conditions that impact fish and macroinvertebrate indices of biotic integrity (IBI) and functional and taxonomic endpoints. We found evidence of positive unintended effects of MPs for both benthic macroinvertebrates and fish indicated by higher IBI scores and specific endpoints like the number of scraper macroinvertebrate taxa and lithophilic spawning fish taxa in a subset of regions. However, our results also suggest MPs have negative unintended effects, especially on sensitive benthic macroinvertebrate taxa and key instream habitat and water quality metrics like specific conductivity. Overall, our results suggest MPs offer co-benefits in some regions and catchments with largely degraded conditions but can have negative unintended effects in some regions, especially in catchments with good biological conditions. We suggest the number and types of MPs drove these mixed results and highlight carefully designed MP implementation that incorporates instream biological data at the catchment scale could facilitate co-benefits to instream biological conditions. Our study underscores the need for more research on identifying effects of individual MP types on instream biological and habitat conditions.