{"pageNumber":"359","pageRowStart":"8950","pageSize":"25","recordCount":184743,"records":[{"id":70234378,"text":"70234378 - 2022 - Deciphering natural and anthropogenic nitrate and recharge sources in arid region groundwater","interactions":[],"lastModifiedDate":"2022-08-10T13:47:50.641199","indexId":"70234378","displayToPublicDate":"2022-08-10T08:39:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Deciphering natural and anthropogenic nitrate and recharge sources in arid region groundwater","docAbstract":"

Recently, the subsoils of ephemeral stream (arroyos) floodplains in the northern Chihuahuan Desert were discovered to contain large naturally occurring NO3− reservoirs (floodplain: ~38,000 kg NO3-N/ha; background: ~60 kg NO3-N/ha). These reservoirs may be mobilized through land use change or natural stream channel migration which makes differentiating between anthropogenic and natural groundwater NO3− sources challenging. In this study, the fate and sources of NO3− were investigated in an area with multiple NO3− sources such as accidental sewer line releases and sewage lagoons as well as natural reservoirs of subsoil NO3−. To differentiate sources, this study used a large suite of geochemical tools including δ15N[NO3], δ18O[NO3], δ15N[N2], δ13C[DIC], 14C, tritium (3H), dissolved gas concentrations, major ion chemistry, and contaminants of emerging concern (CEC) including artificial sweeteners. NO3− at sites with the highest concentrations (25 to 229 mg/L NO3-N) were determined to be largely sourced from naturally occurring subsoil NO3− based on δ15N[NO3] (<8 ‰) and mass ratios of Cl−/Br− (〈100) and NO3−/Cl− (>1.5). Anthropogenic NO3− was deciphered using mass ratios of Cl−/Br− (>120) and NO3−/Cl− (<1), δ15N[NO3] (>8 ‰), and CEC detections. Nitrogen isotope analyses indicated that denitrification is fairly limited in the field area. CEC were detected at 67 % of sites including 3H dead sites (<1 pCi/L) with low percent modern carbon-14 (PMC; <30 %). Local supply wells are 3H dead with low PMC; as 3H does not re-equilibrate and 14C is very slow to re-equilibrate during recirculation through infrastructure, sites with low PMC, 3H < 1 pCi/L, and CEC detections were interpreted as locations with substantial anthropogenic groundwater recharge. Neotame was used to identify locations of very recent (<15 years before present) or ongoing wastewater influxes to the aquifer. This work shows the important influence of naturally occurring subsoil NO3− reservoirs on groundwater in arid regions and the major contribution of artificial recharge.

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Biology","active":true,"publicationSubtype":{"id":10}},"title":"Local groundwater decline exacerbates response of dryland riparian woodlands to climatic drought","docAbstract":"

Dryland riparian woodlands are considered to be locally buffered from droughts by shallow and stable groundwater levels. However, climate change is causing more frequent and severe drought events, accompanied by warmer temperatures, collectively threatening the persistence of these groundwater dependent ecosystems through a combination of increasing evaporative demand and decreasing groundwater supply. We conducted a dendro-isotopic analysis of radial growth and seasonal (semi-annual) carbon isotope discrimination (Δ13C) to investigate the response of riparian cottonwood stands to the unprecedented California-wide drought from 2012 to 2019, along the largest remaining free-flowing river in Southern California. Our goals were to identify principal drivers and indicators of drought stress for dryland riparian woodlands, determine their thresholds of tolerance to hydroclimatic stressors, and ultimately assess their vulnerability to climate change. Riparian trees were highly responsive to drought conditions along the river, exhibiting suppressed growth and strong stomatal closure (inferred from reduced Δ13C) during peak drought years. However, patterns of radial growth and Δ13C were quite variable among sites that differed in climatic conditions and rate of groundwater decline. We show that the rate of groundwater decline, as opposed to climate factors, was the primary driver of site differences in drought stress, and trees showed greater sensitivity to temperature at sites subjected to faster groundwater decline. Across sites, higher correlation between radial growth and Δ13C for individual trees, and higher inter-correlation of Δ13C among trees were indicative of greater drought stress. Trees showed a threshold of tolerance to groundwater decline at 0.5 m year−1 beyond which drought stress became increasingly evident and severe. For sites that exceeded this threshold, peak physiological stress occurred when total groundwater recession exceeded ~3 m. These findings indicate that drought-induced groundwater decline associated with more extreme droughts is a primary threat to dryland riparian woodlands and increases their susceptibility to projected warmer temperatures.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16376","usgsCitation":"Williams, J., Stella, J., Voelker, S.L., Lambert, A.M., Pelletier, L., Drake, J.E., Friedman, J.M., Roberts, D.A., and Singer, M.B., 2022, Local groundwater decline exacerbates response of dryland riparian woodlands to climatic drought: Global Change Biology, v. 28, no. 22, p. 6771-6788, https://doi.org/10.1111/gcb.16376.","productDescription":"18 p.","startPage":"6771","endPage":"6788","ipdsId":"IP-140666","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":446837,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.16376","text":"Publisher Index Page"},{"id":408692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Clara River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.583333,\n 34.5833\n ],\n [\n -119.083333,\n 34.5833\n ],\n [\n -119.083333,\n 34.25\n ],\n [\n -118.583333,\n 34.25\n ],\n [\n -118.583333,\n 34.5833\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"22","noUsgsAuthors":false,"publicationDate":"2022-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Jared","contributorId":298516,"corporation":false,"usgs":false,"family":"Williams","given":"Jared","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":855769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stella, John C","contributorId":149423,"corporation":false,"usgs":false,"family":"Stella","given":"John C","affiliations":[{"id":17732,"text":"Professor, Dept of Forest & Natural Resources Mgmt, SUNY at ESF","active":true,"usgs":false}],"preferred":false,"id":855770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voelker, Steven L.","contributorId":176586,"corporation":false,"usgs":false,"family":"Voelker","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":855771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lambert, Adam M","contributorId":298518,"corporation":false,"usgs":false,"family":"Lambert","given":"Adam","email":"","middleInitial":"M","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":855772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pelletier, Lissa","contributorId":298520,"corporation":false,"usgs":false,"family":"Pelletier","given":"Lissa","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":855773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drake, John E","contributorId":298522,"corporation":false,"usgs":false,"family":"Drake","given":"John","email":"","middleInitial":"E","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":855774,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":855775,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":855776,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Singer, Michael B.","contributorId":168369,"corporation":false,"usgs":false,"family":"Singer","given":"Michael","email":"","middleInitial":"B.","affiliations":[{"id":25268,"text":"University of St Andrews, UK","active":true,"usgs":false}],"preferred":false,"id":855777,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70234395,"text":"70234395 - 2022 - Assembling a safe and effective toolbox for integrated flea control and plague mitigation: Fipronil experiments with prairie dogs","interactions":[],"lastModifiedDate":"2022-08-10T13:38:33.781642","indexId":"70234395","displayToPublicDate":"2022-08-10T08:21:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Assembling a safe and effective toolbox for integrated flea control and plague mitigation: Fipronil experiments with prairie dogs","docAbstract":"

Background

Plague, a widely distributed zoonotic disease of mammalian hosts and flea vectors, poses a significant risk to ecosystems throughout much of Earth. Conservation biologists use insecticides for flea control and plague mitigation. Here, we evaluate the use of an insecticide grain bait, laced with 0.005% fipronil (FIP) by weight, with black-tailed prairie dogs (BTPDs, Cynomys ludovicianus). We consider safety measures, flea control, BTPD body condition, BTPD survival, efficacy of plague mitigation, and the speed of FIP grain application vs. infusing BTPD burrows with insecticide dusts. We also explore conservation implications for endangered black-footed ferrets (Mustela nigripes), which are specialized predators of Cynomys.

Principal findings

During 5- and 10-day laboratory trials in Colorado, USA, 2016–2017, FIP grain had no detectable acute toxic effect on 20 BTPDs that readily consumed the grain. During field experiments in South Dakota, USA, 2016–2020, FIP grain suppressed fleas on BTPDs for at least 12 months and up to 24 months in many cases; short-term flea control on a few sites was poor for unknown reasons. In an area of South Dakota where plague circulation appeared low or absent, FIP grain had no detectable effect, positive or negative, on BTPD survival. Experimental results suggest FIP grain may have improved BTPD body condition (mass:foot) and reproduction (juveniles:adults). During a 2019 plague epizootic in Colorado, BTPDs on 238 ha habitat were protected by FIP grain, whereas BTPDs were nearly eliminated on non-treated habitat. Applications of FIP grain were 2–4 times faster than dusting BTPD burrows.

Significance

Deltamethrin dust is the most commonly used insecticide for plague mitigation on Cynomys colonies. Fleas on BTPD colonies exhibit the ability to evolve resistance to deltamethrin after repeated annual treatments. Thus, more tools are needed. Accumulating data show orally-delivered FIP is safe and usually effective for flea control with BTPDs, though potential acute toxic effects cannot be ruled out. With continued study and refinement, FIP might be used in rotation with, or even replace deltamethrin, and serve an important role in Cynomys and black-footed ferret conservation. More broadly, our stepwise approach to research on FIP may function as a template or guide for evaluations of insecticides in the context of wildlife conservation.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0272419","usgsCitation":"Eads, D.A., Livieri, T., Tretten, T., Hughes, J., Kaczor, N., Halsell, E., Grassel, S.M., Dobesh, P., Childers, E., Lucas, D., Noble, L., Vasquez, M., Grady, A.C., and Biggins, D.E., 2022, Assembling a safe and effective toolbox for integrated flea control and plague mitigation: Fipronil experiments with prairie dogs: PLoS ONE, v. 17, no. 8, e0272419, 19 p., https://doi.org/10.1371/journal.pone.0272419.","productDescription":"e0272419, 19 p.","ipdsId":"IP-134213","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":446840,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0272419","text":"Publisher Index Page"},{"id":435737,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QTWGP4","text":"USGS data release","linkHelpText":"Data on 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endosymbionts in riparian spider microbiomes","interactions":[],"lastModifiedDate":"2023-02-02T13:23:51.078019","indexId":"70240246","displayToPublicDate":"2022-08-10T07:22:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"PCB exposure is associated with reduction of endosymbionts in riparian spider microbiomes","docAbstract":"

Microbial communities, including endosymbionts, play diverse and critical roles in host biology and reproduction, but contaminant exposure may cause an imbalance in the microbiome composition with subsequent impacts on host health. Here, we examined whether there was a significant alteration of the microbiome community within two taxa of riparian spiders (Tetragnathidae and Araneidae) from a site with historical polychlorinated biphenyl (PCB) contamination in southern Ontario, Canada. Riparian spiders specialize in the predation of adult aquatic insects and, as such, their contaminant levels closely track those of nearby aquatic ecosystems. DNA from whole spiders from sites with either low or high PCB contamination was extracted, and spider microbiota profiled by partial 16S rRNA gene amplicon sequencing. The most prevalent shift in microbial communities we observed was a large reduction in endosymbionts in spiders at the high PCB site. The abundance of endosymbionts at the high PCB site was 63 % and 98 % lower for tetragnathids and araneids, respectively, than at the low PCB site. Overall, this has potential implications for spider reproductive success and food webs, as riparian spiders are critical gatekeepers of energy and material fluxes at the land-water interface.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.156726","usgsCitation":"Perrotta, B.G., Kidd, K.A., and Walters, D., 2022, PCB exposure is associated with reduction of endosymbionts in riparian spider microbiomes: Science of the Total Environment, v. 842, 156726, 8 p., https://doi.org/10.1016/j.scitotenv.2022.156726.","productDescription":"156726, 8 p.","ipdsId":"IP-139490","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":489720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2022.156726","text":"Publisher Index Page"},{"id":412613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"842","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Perrotta, Brittany G. 0000-0003-2669-3047","orcid":"https://orcid.org/0000-0003-2669-3047","contributorId":301929,"corporation":false,"usgs":true,"family":"Perrotta","given":"Brittany","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":863077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kidd, Karen A.","contributorId":201554,"corporation":false,"usgs":false,"family":"Kidd","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":25502,"text":"McMaster University","active":true,"usgs":false}],"preferred":false,"id":863078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205921,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":863079,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70235712,"text":"70235712 - 2022 - Global dataset of species-specific inland recreational fisheries harvest for consumption","interactions":[],"lastModifiedDate":"2022-08-16T12:10:25.836446","indexId":"70235712","displayToPublicDate":"2022-08-10T07:06:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Global dataset of species-specific inland recreational fisheries harvest for consumption","docAbstract":"

Inland recreational fisheries, found in lakes, rivers, and other landlocked waters, are important to livelihoods, nutrition, leisure, and other societal ecosystem services worldwide. Although recreationally-caught fish are frequently harvested and consumed by fishers, their contribution to food and nutrition has not been adequately quantified due to lack of data, poor monitoring, and under-reporting, especially in developing countries. Beyond limited global harvest estimates, few have explored species-specific harvest patterns, although this variability has implications for fisheries management and food security. Given the continued growth of the recreational fishery sector, understanding inland recreational fish harvest and consumption rates represents a critical knowledge gap. Based on a comprehensive literature search and expert knowledge review, we quantified multiple aspects of global inland recreational fisheries for 81 countries spanning ~192 species. For each country, we assembled recreational fishing participation rate and estimated species-specific harvest and consumption rate. This dataset provides a foundation for future assessments, including understanding nutritional and economic contributions of inland recreational fisheries.

","language":"English","publisher":"Nature","doi":"10.1038/s41597-022-01604-y","usgsCitation":"Embke, H.S., Nyboer, E.A., Robertson, A.M., Arlinghaus, R., Akintola, L., Atessahin, T., Badr, L.M., Baigun, C., Basher, Z., Beard, T., Boros, G., Bower, S., Cooke, S., Cowx, I.G., Franco, A., Gaspar-Dillanes, M.T., Puentes Granada, V., Hart, R., Heinsohn, C., Jalabert, V., Kapusta, A., Krajc, T., Koehn, J.D., Lopes, G., Lyach, R., Magqina, T., Milardi, M., Nattabi, J., Nyaboke, H., Phang, S.C., Potts, W.M., Ribeiro, F., Mercado-Silva, N., Sreenivasan, N., Thorpe, A., Treer, T., Ustups, D., Weyl, O.L., Wood, L.E., Zengin, M., and Lynch, A., 2022, Global dataset of species-specific inland recreational fisheries harvest for consumption: Scientific Data, v. 9, 488, 10 p., https://doi.org/10.1038/s41597-022-01604-y.","productDescription":"488, 10 p.","ipdsId":"IP-137592","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":446843,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-022-01604-y","text":"Publisher Index Page"},{"id":405182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2022-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":270754,"corporation":false,"usgs":true,"family":"Embke","given":"Holly","email":"","middleInitial":"Susan","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":849015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nyboer, Elizabeth A.","contributorId":250650,"corporation":false,"usgs":false,"family":"Nyboer","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":849016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Ashley M.","contributorId":295269,"corporation":false,"usgs":false,"family":"Robertson","given":"Ashley","email":"","middleInitial":"M.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":849017,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arlinghaus, Robert","contributorId":32425,"corporation":false,"usgs":false,"family":"Arlinghaus","given":"Robert","email":"","affiliations":[{"id":17980,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":849018,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Akintola, L.","contributorId":295271,"corporation":false,"usgs":false,"family":"Akintola","given":"L.","email":"","affiliations":[{"id":63809,"text":"Lagos State University","active":true,"usgs":false}],"preferred":false,"id":849019,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Atessahin, Tuncay","contributorId":295272,"corporation":false,"usgs":false,"family":"Atessahin","given":"Tuncay","email":"","affiliations":[{"id":63811,"text":"Fırat University","active":true,"usgs":false}],"preferred":false,"id":849020,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Badr, Laamiri Mohamed","contributorId":295273,"corporation":false,"usgs":false,"family":"Badr","given":"Laamiri","email":"","middleInitial":"Mohamed","affiliations":[{"id":63812,"text":"Water and Forest Department, Fisheries and Aquaculture Service","active":true,"usgs":false}],"preferred":false,"id":849021,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baigun, Claudio","contributorId":292267,"corporation":false,"usgs":false,"family":"Baigun","given":"Claudio","email":"","affiliations":[{"id":62854,"text":"Institute of Research and Environmental Engineering","active":true,"usgs":false}],"preferred":false,"id":849022,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Basher, Zeenatul 0000-0002-6439-8324 zbasher@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-8324","contributorId":208142,"corporation":false,"usgs":false,"family":"Basher","given":"Zeenatul","email":"zbasher@usgs.gov","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":849023,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Beard, T. 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0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":849054,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}} ,{"id":70256640,"text":"70256640 - 2022 - Cumulative effects of piscivorous colonial waterbirds on juvenile salmonids: A multi predator-prey species evaluation","interactions":[],"lastModifiedDate":"2024-08-28T11:25:07.268311","indexId":"70256640","displayToPublicDate":"2022-08-10T06:22:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Cumulative effects of piscivorous colonial waterbirds on juvenile salmonids: A multi predator-prey species evaluation","docAbstract":"

We investigated the cumulative effects of predation by piscivorous colonial waterbirds on the survival of multiple salmonid (Oncorhynchus spp.) populations listed under the U.S. Endangered Species Act (ESA) and determined what proportion of all sources of fish mortality (1 –survival) were due to birds in the Columbia River basin, USA. Anadromous juvenile salmonids (smolts) were exposed to predation by Caspian terns (Hydroprogne caspia), double-crested cormorants (Nannopterum auritum), California gulls (Larus californicus), and ring-billed gulls (L. delawarensis), birds known to consume both live and dead fish. Avian consumption and survival probabilities (proportion of available fish consumed or alive) were estimated for steelhead trout (O. mykiss), yearling Chinook salmon (O. tshawytscha), sub-yearling Chinook salmon, and sockeye salmon (O. nerka) during out-migration from the lower Snake River to the Pacific Ocean during an 11-year study period (2008–2018). Results indicated that probabilities of avian consumption varied greatly across salmonid populations, bird species, colony location, river reach, and year. Cumulative consumption probabilities (consumption by birds from all colonies combined) were consistently the highest for steelhead, with annual estimates ranging from 0.22 (95% credible interval = 0.20–0.26) to 0.51 (0.43–0.60) of available smolts. The cumulative effects of avian consumption were significantly lower for yearling and sub-yearling Chinook salmon, with consumption probabilities ranging annually from 0.04 (0.02–0.07) to 0.10 (0.07–0.15) and from 0.06 (0.3–0.09) to 0.15 (0.10–0.23), respectively. Avian consumption probabilities for sockeye salmon smolts was generally higher than for Chinook salmon smolts, but lower than for steelhead smolts, ranging annually from 0.08 (0.03–0.22) to 0.25 (0.14–0.44). Although annual consumption probabilities for birds from certain colonies were more than 0.20 of available smolts, probabilities from other colonies were less than 0.01 of available smolts, indicating that not all colonies of birds posed a substantial risk to smolt mortality. Consumption probabilities were lowest for small colonies and for colonies located a considerable distance from the Snake and Columbia rivers. Total mortality attributed to avian consumption was relatively small for Chinook salmon (less than 10%) but was the single greatest source of mortality for steelhead (greater than 50%) in all years evaluated. Results suggest that the potential benefits to salmonid populations of managing birds to reduce smolt mortality would vary widely depending on the salmonid population, the species of bird, and the size and location of the breeding colony.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0272875","usgsCitation":"Evans, A.F., Payton, Q., Hostetter, N.J., Collis, K., Cramer, B.M., and Roby, D.D., 2022, Cumulative effects of piscivorous colonial waterbirds on juvenile salmonids: A multi predator-prey species evaluation: PLoS ONE, v. 17, no. 8, e0272875, 24 p., https://doi.org/10.1371/journal.pone.0272875.","productDescription":"e0272875, 24 p.","ipdsId":"IP-142107","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":446845,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0272875","text":"Publisher Index Page"},{"id":433227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Unites States","state":"Oregon, Washington","otherGeospatial":"Columbia River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.33017599547502,\n 47.67392488986869\n ],\n [\n -124.33017599547502,\n 45.004847382638786\n ],\n [\n -116.59580099547517,\n 45.004847382638786\n ],\n [\n -116.59580099547517,\n 47.67392488986869\n ],\n [\n -124.33017599547502,\n 47.67392488986869\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Allen F.","contributorId":171691,"corporation":false,"usgs":false,"family":"Evans","given":"Allen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":908437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Payton, Quinn","contributorId":149990,"corporation":false,"usgs":false,"family":"Payton","given":"Quinn","email":"","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":908438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":908439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collis, Ken","contributorId":149991,"corporation":false,"usgs":false,"family":"Collis","given":"Ken","email":"","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":908440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cramer, Bradley M.","contributorId":171692,"corporation":false,"usgs":false,"family":"Cramer","given":"Bradley","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":908441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roby, Daniel D.","contributorId":341450,"corporation":false,"usgs":false,"family":"Roby","given":"Daniel","email":"","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":908442,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70210496,"text":"70210496 - 2022 - Butler’s Gartersnake, Thamnophis butleri (Cope 1889)","interactions":[],"lastModifiedDate":"2022-12-21T17:09:11.683877","indexId":"70210496","displayToPublicDate":"2022-08-09T11:03:19","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Butler’s Gartersnake, Thamnophis butleri (Cope 1889)","docAbstract":"

No abstract available.

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No abstract available.

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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Kapfer, Joshua M.","contributorId":300285,"corporation":false,"usgs":false,"family":"Kapfer","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":859830,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Brown, Donald J.","contributorId":265421,"corporation":false,"usgs":false,"family":"Brown","given":"Donald J.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":859831,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"King, Richard S.","contributorId":225118,"corporation":false,"usgs":false,"family":"King","given":"Richard","email":"","middleInitial":"S.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":790403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Robert W.","contributorId":225119,"corporation":false,"usgs":false,"family":"Hay","given":"Robert","email":"","middleInitial":"W.","affiliations":[{"id":41040,"text":"Turtle for Tomorrow","active":true,"usgs":false}],"preferred":false,"id":790404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrison, Billie C.","contributorId":225120,"corporation":false,"usgs":false,"family":"Harrison","given":"Billie","email":"","middleInitial":"C.","affiliations":[{"id":41041,"text":"Milwaukee County Zoo","active":true,"usgs":false}],"preferred":false,"id":790405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hileman, Eric Thomas 0000-0002-7044-370X","orcid":"https://orcid.org/0000-0002-7044-370X","contributorId":224633,"corporation":false,"usgs":true,"family":"Hileman","given":"Eric","email":"","middleInitial":"Thomas","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":790406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berg, Craig S.","contributorId":225121,"corporation":false,"usgs":false,"family":"Berg","given":"Craig","email":"","middleInitial":"S.","affiliations":[{"id":41041,"text":"Milwaukee County Zoo","active":true,"usgs":false}],"preferred":false,"id":790407,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70235835,"text":"70235835 - 2022 - Testing assumptions in the use of PIT tags to study movement of Plethodon salamanders","interactions":[],"lastModifiedDate":"2022-08-23T14:07:01.58722","indexId":"70235835","displayToPublicDate":"2022-08-09T09:00:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Testing assumptions in the use of PIT tags to study movement of Plethodon salamanders","title":"Testing assumptions in the use of PIT tags to study movement of Plethodon salamanders","docAbstract":"

Studying the movements of organisms that live underground for at least a portion of their life history is challenging, given the state of current technology. Passive integrated transponders (PIT tags) provide a way to individually identify and, more recently, study the movement of smaller animals, including those that make subterranean movements. However, there are widespread assumptions of the use of PIT tags that remain problematic. We tested the effects of PIT-tag implantation on growth and survival, along with the effects of electromagnetic fields for reading PIT tags on behavior, of the smallest salamander that has been PIT-tagged: the Red-Backed Salamander. We found no effect of PIT tags on growth or survival. Using a mesocosm experiment, we also found that electromagnetic effects associated with reading PIT tags, had no effect on salamander behavior. Further, we describe a novel PIT antenna and soil mesocosm experimental arena for studying belowground movements of woodland salamanders. Collectively, these studies suggest that the use of PIT tags do not influence the growth, survival, or behavior of Red-Backed Salamanders. Given the challenges of studying salamanders that live underground and the impending changes in climate and landscapes, this research suggests that PIT tags remain a viable tool for studying the movement ecology of salamanders under global change.

","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/20-006","usgsCitation":"Sterrett, S., Dubreuil, T.L., O'Donnell, M.J., Brand, A., and Campbell Grant, E.H., 2022, Testing assumptions in the use of PIT tags to study movement of Plethodon salamanders: Journal of Herpetology, v. 56, no. 2, p. 146-152, https://doi.org/10.1670/20-006.","productDescription":"7 p.","startPage":"146","endPage":"152","ipdsId":"IP-115968","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":405456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sterrett, Sean C 0000-0003-1356-2785","orcid":"https://orcid.org/0000-0003-1356-2785","contributorId":242972,"corporation":false,"usgs":false,"family":"Sterrett","given":"Sean C","affiliations":[{"id":38445,"text":"Monmouth University","active":true,"usgs":false}],"preferred":false,"id":849501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dubreuil, Todd L. 0000-0003-0189-4336 tdubreuil@usgs.gov","orcid":"https://orcid.org/0000-0003-0189-4336","contributorId":5552,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","email":"tdubreuil@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":849549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":849504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":295466,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":849503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":849502,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70234350,"text":"70234350 - 2022 - Research to inform passage spacing for migratory amphibians and to evaluate efficacy and designs for open elevated road segment (ERS) passages","interactions":[],"lastModifiedDate":"2022-08-09T13:44:46.639613","indexId":"70234350","displayToPublicDate":"2022-08-09T08:44:14","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Research to inform passage spacing for migratory amphibians and to evaluate efficacy and designs for open elevated road segment (ERS) passages","docAbstract":"

This is a multifaceted project that includes three main areas of research targeted to inform effective crossing systems for migratory amphibians, a large group of species which are at very high risk from negative impacts from roads within their habitats (Glista et al. 2008, Hamer and McDonnell 2008, Semlitsch 2008, Brehme et al. 2018). The three projects presented in this report are:

1) Movement distances along road barrier fencing and probabilities of reaching a passage: Case study with Yosemite toads in Sierra National Forest, CA.

2) Effectiveness of a novel elevated road segment (ERS) road passage system prototype in providing connectivity for amphibians, reptiles, and small mammals: Case study in Sierra National Forest, CA.

3) Concept designs and transportation engineering evaluation for the ERS on primary roads and highways.

This research began in 2018 as part of a larger U.S. Geological Survey (USGS) research program in collaboration with the U.S. Forest Service (USFS), California Department of Transportation (Caltrans), and Western Transportation Institute (WTI; Montana State University) to inform best management practices for barrier and crossing systems for sensitive amphibians and reptiles in California (Langton and Clevenger 2021, Brehme and Fisher 2020). The funding from Department of Transportation (DOT) pooled fund partners (Parks Canada / Government of Canada, Federal Highway Administration (FHWA), U.S. State Departments of Transportation (AK, AZ, CA, CO, IA, MI, MN, NM, NV, OR, WA), Ontario Ministry of Transportation) and managed by the Nevada Department of Transportation (NDOT) supported 2021 field study efforts, analyses of fence movement distances for Yosemite toads, and analysis of the efficacy of a novel ERS passage system to Yosemite toads and other amphibians, reptiles and small mammals. Finally, this pooled fund project includes an assessment by transportation engineers in consultation with USGS and Caltrans to provide insight, guidance, and concept designs for similar crossing solutions that could be implemented on improved roads.

This research is meant to inform the distances required between crossings to provide permeability for migratory amphibians (i.e., to allow movements necessary for population persistence across roads) as well as to assess the permeability of a new passage design for amphibians and other small animal species that may provide greater connectivity and offer an alternative to below grade tunnels. The results of these studies add to the current body of knowledge in road ecology and increase the choices of road passage designs for amphibians and other small wildlife species.

","language":"English","publisher":"Nevada Department of Transportation","collaboration":"In cooperation with USDOT Federal Highway Administration","usgsCitation":"Brehme, C.S., Barnes, S., Ewing, B., Vaughan, C., Hobbs, M., Tornaci, C., Gould, P.R., Holm, S., Sheldon, H., and Fisher, R., 2022, Research to inform passage spacing for migratory amphibians and to evaluate efficacy and designs for open elevated road segment (ERS) passages, iv, 79 p.","productDescription":"iv, 79 p.","ipdsId":"IP-142380","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":404996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":404981,"type":{"id":11,"text":"Document"},"url":"https://www.dot.nv.gov/home/showpublisheddocument/20719/637940762979694245","size":"8494 KB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Rock Creek Road, Sierra National Forest, Sierra National Forest Road 9S09","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.17194128036499,\n 37.138475851040155\n ],\n [\n -119.17123317718504,\n 37.13809952693361\n ],\n [\n -119.1703748703003,\n 37.13929691532038\n ],\n [\n -119.17024612426758,\n 37.14201662709922\n ],\n [\n -119.17106151580809,\n 37.141965312687695\n ],\n [\n -119.17097568511963,\n 37.139707444118805\n ],\n [\n -119.17194128036499,\n 37.138475851040155\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":848617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Stephanie","contributorId":258239,"corporation":false,"usgs":false,"family":"Barnes","given":"Stephanie","email":"","affiliations":[],"preferred":false,"id":848618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ewing, Brittany 0000-0001-5540-3905","orcid":"https://orcid.org/0000-0001-5540-3905","contributorId":258242,"corporation":false,"usgs":true,"family":"Ewing","given":"Brittany","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":848619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vaughan, Cassie","contributorId":294692,"corporation":false,"usgs":false,"family":"Vaughan","given":"Cassie","email":"","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":848620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobbs, Michael","contributorId":258243,"corporation":false,"usgs":false,"family":"Hobbs","given":"Michael","affiliations":[],"preferred":false,"id":848621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tornaci, Charles","contributorId":294693,"corporation":false,"usgs":false,"family":"Tornaci","given":"Charles","email":"","affiliations":[{"id":63629,"text":"Dokken Engineering","active":true,"usgs":false}],"preferred":false,"id":848622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gould, Philip Robert 0000-0002-8871-0968","orcid":"https://orcid.org/0000-0002-8871-0968","contributorId":294694,"corporation":false,"usgs":true,"family":"Gould","given":"Philip","email":"","middleInitial":"Robert","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":848623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holm, Sarah","contributorId":294695,"corporation":false,"usgs":false,"family":"Holm","given":"Sarah","email":"","affiliations":[{"id":63629,"text":"Dokken Engineering","active":true,"usgs":false}],"preferred":false,"id":848624,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sheldon, Hanna","contributorId":294696,"corporation":false,"usgs":false,"family":"Sheldon","given":"Hanna","email":"","affiliations":[{"id":63629,"text":"Dokken Engineering","active":true,"usgs":false}],"preferred":false,"id":848625,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":848626,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70236472,"text":"70236472 - 2022 - Discovery and potential ramifications of reduced iron-bearing nanoparticles — Magnetite, wüstite, and zero-valent iron — In wildland–urban interface fire ashes","interactions":[],"lastModifiedDate":"2022-11-16T17:02:46.790045","indexId":"70236472","displayToPublicDate":"2022-08-09T08:14:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12575,"text":"Environmental Science Nano","active":true,"publicationSubtype":{"id":10}},"title":"Discovery and potential ramifications of reduced iron-bearing nanoparticles — Magnetite, wüstite, and zero-valent iron — In wildland–urban interface fire ashes","docAbstract":"

The increase in fires at the wildland–urban interface has raised concerns about the potential environmental impact of ash remaining after burning. Here, we examined the concentrations and speciation of iron-bearing nanoparticles in wildland–urban interface ash. Total iron concentrations in ash varied between 4 and 66 mg g−1. Synchrotron X-ray absorption near-edge structure (XANES) spectroscopy of bulk ash samples was used to quantify the relative abundance of major Fe phases, which were corroborated by transmission electron microscopy measurements. Maghemite (γ-(Fe3+)2O3) and magnetite (γ-Fe2+(Fe3+)2O4) were detected in most ashes and accounted for 0–90 and 0–81% of the spectral weight, respectively. Ferrihydrite (amorphous Fe(III)–hydroxide, (Fe3+)5HO8·4H2O), goethite (α-Fe3+OOH), and hematite (α-Fe3+2O3) were identified less frequently in ashes than maghemite and magnetite and accounted for 0–65, 0–54, and 0–50% of spectral weight, respectively. Other iron phases identified in ashes include wüstite (Fe2+O), zerovalent iron, FeS, FeCl2, FeCl3, FeSO4, Fe2(SO4)3, and Fe(NO3)3. Our findings demonstrate the impact of fires at the wildland–urban interface on iron speciation; that is, fires can convert iron oxides (e.g., maghemite, hematite, and goethite) to reduced iron phases such as magnetite, wüstite, and zerovalent iron. Magnetite concentrations (e.g., up to 25 mg g−1) decreased from black to gray to white ashes. Based on transmission electron microscopy (TEM) analyses, most of the magnetite nanoparticles were less than 500 nm in size, although larger particles were identified. Magnetite nanoparticles have been linked to neurodegenerative diseases as well as climate change. This study provides important information for understanding the potential environmental impacts of fires at the wildland–urban interface, which are currently poorly understood.

","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/D2EN00439A","usgsCitation":"Baalousha, M., Desmau, M., Singerling, S., Webster, J.P., Matiasek, S., Stern, M.A., and Alpers, C.N., 2022, Discovery and potential ramifications of reduced iron-bearing nanoparticles — Magnetite, wüstite, and zero-valent iron — In wildland–urban interface fire ashes: Environmental Science Nano, v. 9, no. 11, p. 4136-4149, https://doi.org/10.1039/D2EN00439A.","productDescription":"14 p.","startPage":"4136","endPage":"4149","ipdsId":"IP-140231","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":446849,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/115415","text":"External Repository"},{"id":406373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baalousha, Mohammed 0000-0001-7491-4954","orcid":"https://orcid.org/0000-0001-7491-4954","contributorId":255450,"corporation":false,"usgs":false,"family":"Baalousha","given":"Mohammed","email":"","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":851141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Desmau, Morgane 0000-0002-7828-183X","orcid":"https://orcid.org/0000-0002-7828-183X","contributorId":296283,"corporation":false,"usgs":false,"family":"Desmau","given":"Morgane","email":"","affiliations":[{"id":64009,"text":"Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany","active":true,"usgs":false}],"preferred":false,"id":851142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singerling, Sheryl A. 0000-0001-8639-5039","orcid":"https://orcid.org/0000-0001-8639-5039","contributorId":296284,"corporation":false,"usgs":false,"family":"Singerling","given":"Sheryl A.","affiliations":[{"id":64010,"text":"Virginia Polytechnic Institute and State University, Blacksburg, Virginia","active":true,"usgs":false}],"preferred":false,"id":851143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webster, Jackson P.","contributorId":248454,"corporation":false,"usgs":false,"family":"Webster","given":"Jackson","email":"","middleInitial":"P.","affiliations":[{"id":49915,"text":"California State University Chico","active":true,"usgs":false}],"preferred":false,"id":851144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matiasek, Sandrine J. 0000-0003-0272-0354","orcid":"https://orcid.org/0000-0003-0272-0354","contributorId":210031,"corporation":false,"usgs":false,"family":"Matiasek","given":"Sandrine","middleInitial":"J.","affiliations":[{"id":38054,"text":"Department of Geological and Environmental Sciences, California State University Chico, 400 W 1st St, Chico, CA 95929, USA","active":true,"usgs":false}],"preferred":false,"id":851145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851146,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851147,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70237185,"text":"70237185 - 2022 - Millennia-old coral holobiont DNA provides insight into future adaptive trajectories","interactions":[],"lastModifiedDate":"2022-10-04T12:25:49.925671","indexId":"70237185","displayToPublicDate":"2022-08-09T07:21:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Millennia-old coral holobiont DNA provides insight into future adaptive trajectories","docAbstract":"Ancient DNA (aDNA) has been applied to evolutionary questions across a wide variety of taxa. Here, for the first time, we leverage aDNA from millennia-old fossil coral fragments to gain new insights into a rapidly declining western Atlantic reef ecosystem. We sampled four Acropora palmata fragments (dated 4215 BCE - 1099 CE) obtained from two Florida Keys reef cores. From these samples, we established that it is possible both to sequence ancient DNA from reef cores and place the data in the context of modern-day genetic variation. We recovered varying amounts of nuclear DNA exhibiting the characteristic signatures of aDNA from the A. palmata fragments. To describe the holobiont sensu lato, which plays a crucial role in reef health, we utilized metagenome-assembled genomes as a reference to identify a large additional proportion of ancient microbial DNA from the samples. The samples shared many common microbes with modern-day coral holobionts from the same region, suggesting remarkable holobiont stability over time. Despite efforts, we were unable to recover ancient Symbiodiniaceae reads from the samples. Comparing the ancient A. palmata data to whole-genome sequencing data from living acroporids, we found that while slightly distinct, ancient samples were most closely related to individuals of their own species. Together, these results provide a proof-of-principle showing that it is possible to carry out direct analysis of coral holobiont change over time, which lays a foundation for studying the impacts of environmental stress and evolutionary constraints.","language":"English","publisher":"Wiley","doi":"10.1111/mec.16642","usgsCitation":"Scott, C.B., Cardenas, A., Mah, M., Narasimhan, V., Rohland, N., Toth, L., Voostra, C., Reich, D., and Matz, M.V., 2022, Millennia-old coral holobiont DNA provides insight into future adaptive trajectories: Molecular Ecology, v. 31, no. 19, p. 4979-4990, https://doi.org/10.1111/mec.16642.","productDescription":"12 p.","startPage":"4979","endPage":"4990","ipdsId":"IP-132992","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":446852,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-jkfsqqrf91776","text":"External Repository"},{"id":407855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"19","noUsgsAuthors":false,"publicationDate":"2022-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Scott, Carly B.","contributorId":297168,"corporation":false,"usgs":false,"family":"Scott","given":"Carly","email":"","middleInitial":"B.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":853590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cardenas, Anny","contributorId":297169,"corporation":false,"usgs":false,"family":"Cardenas","given":"Anny","email":"","affiliations":[{"id":55536,"text":"University of Konstanz","active":true,"usgs":false}],"preferred":false,"id":853591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mah, Matthew","contributorId":297170,"corporation":false,"usgs":false,"family":"Mah","given":"Matthew","email":"","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":853592,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Narasimhan, Vagheesh","contributorId":297171,"corporation":false,"usgs":false,"family":"Narasimhan","given":"Vagheesh","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":853593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rohland, Nadin","contributorId":297173,"corporation":false,"usgs":false,"family":"Rohland","given":"Nadin","email":"","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":853594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":853595,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Voostra, Christian","contributorId":297175,"corporation":false,"usgs":false,"family":"Voostra","given":"Christian","email":"","affiliations":[{"id":55536,"text":"University of Konstanz","active":true,"usgs":false}],"preferred":false,"id":853596,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reich, David","contributorId":297177,"corporation":false,"usgs":false,"family":"Reich","given":"David","email":"","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":853597,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Matz, Mikhail V","contributorId":243005,"corporation":false,"usgs":false,"family":"Matz","given":"Mikhail","email":"","middleInitial":"V","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":853598,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70235889,"text":"70235889 - 2022 - Winter severity affects occupancy of spring- and summer-breeding anurans across the eastern United States","interactions":[],"lastModifiedDate":"2022-09-27T16:58:22.989788","indexId":"70235889","displayToPublicDate":"2022-08-09T06:40:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Winter severity affects occupancy of spring- and summer-breeding anurans across the eastern United States","docAbstract":"

Aim

Climate change is an increasingly important driver of biodiversity loss. The ectothermic nature of amphibians may make them particularly sensitive to changes in temperature and precipitation regimes, adding to declines from other threats. While active season environmental conditions can influence growth and survival, effects of variation in winter conditions on population dynamics are less well-studied. Given that extreme winter temperatures can influence amphibian survival and fitness, we expected that increased winter severity—as measured by variability in winter temperatures and snow cover—would be associated with decreased occupancy, and that populations that experience more severe winters would have the largest sensitivities and show the greatest declines.

Location

Eastern United States.

Time period

2001–2015.

Major taxa studied

Anurans.

Methods

We used large-scale citizen science data from the eastern half of the United States, a diverse biogeographic and climatic region, to assess how variation in winter severity influenced occupancy dynamics (i.e. presence or absence of species across sites and years) of 11 spring and summer breeding anuran species.

Results

Most species had increased occupancy in years with greater than average snow cover and warmer than average mean winter temperatures. Surprisingly, climatic conditions in winter affected occupancy dynamics of species with varying life history characteristics, including both spring and summer breeding species, those that overwinter under the soil, and those that overwinter in ponds and stream beds. For two wide-ranging species (Lithobates catesbeianus and Lithobates clamitans), colder winter temperatures reduced occupancy more at northern latitudes, while the association between days of snow cover and latitude was equivocal.

Main conclusions

As the climate continues to change, expected reductions in snowpack may reduce occupancy of already declining anuran populations, while milder winters may improve overwinter survival for some species. The contradictory impacts of temperature and snow cover illustrate the importance of considering multi-dimensional impacts of climate change on anuran populations.

","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13620","usgsCitation":"Weiskopf, S.R., Shiklomanov, A.N., Thompson, L., Wheedleton, S., and Campbell Grant, E.H., 2022, Winter severity affects occupancy of spring- and summer-breeding anurans across the eastern United States: Diversity and Distributions, v. 28, no. 10, p. 2187-2199, https://doi.org/10.1111/ddi.13620.","productDescription":"13 p.","startPage":"2187","endPage":"2199","ipdsId":"IP-127531","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":446854,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13620","text":"Publisher Index Page"},{"id":405526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.28320312499999,\n 25.24469595130604\n ],\n [\n -66.88476562499999,\n 25.24469595130604\n ],\n [\n -66.88476562499999,\n 49.26780455063753\n ],\n [\n -100.28320312499999,\n 49.26780455063753\n ],\n [\n -100.28320312499999,\n 25.24469595130604\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":849614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shiklomanov, Alexey N. 0000-0003-4022-5979","orcid":"https://orcid.org/0000-0003-4022-5979","contributorId":245541,"corporation":false,"usgs":false,"family":"Shiklomanov","given":"Alexey","email":"","middleInitial":"N.","affiliations":[{"id":49218,"text":"Boston University Department of Earth and Environment","active":true,"usgs":false}],"preferred":false,"id":849615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":207364,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":849616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wheedleton, Sarah","contributorId":295508,"corporation":false,"usgs":false,"family":"Wheedleton","given":"Sarah","email":"","affiliations":[{"id":63897,"text":"Smithsonian Conservation Commons","active":true,"usgs":false}],"preferred":false,"id":849617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":849618,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70241508,"text":"70241508 - 2022 - Optimizing survey design for shasta salamanders (Hydromantes spp.) to estimate occurrence in little-studied portions of their range","interactions":[],"lastModifiedDate":"2023-03-22T11:41:45.905962","indexId":"70241508","displayToPublicDate":"2022-08-09T06:40:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing survey design for shasta salamanders (Hydromantes spp.) to estimate occurrence in little-studied portions of their range","docAbstract":"

Shasta salamanders (collectively, Hydromantes samweli, H. shastae, and H. wintu; hereafter, Shasta salamander) are endemic to northern California in the general vicinity of Shasta Lake reservoir. Although generally associated with limestone, they have repeatedly been found in association with other habitats, calling into question the distribution of the species complex. Further limiting our knowledge of the species' distributions is that they are only active or available for sampling on the soil surface for a small portion of the year, and detection probabilities for the species have never been estimated. We developed and implemented a survey protocol designed to estimate detection, availability, and occurrence probabilities from December 2019 through March 2020. We provide inference on Shasta salamander occurrence in portions of their range that have received little survey effort. We found that Shasta salamander occurrence was positively associated with the percent cover of embedded rock, and the species' availability (i.e., probability of being active on the soil surface during sampling) was positively related to relative humidity. The probability of occurrence of Shasta salamanders in our study area was low, and our winter-to-spring survey protocol was effective for estimating detection, availability, and occurrence probabilities in the study area and at specific sites. We suggest that conducting replicate surveys that quantify animal availability and detection probabilities will facilitate a better understanding of the habitat associations of Shasta salamanders and other rare species that might often be unavailable for detection.

","language":"English","publisher":"BioOne","doi":"10.1670/20-119","usgsCitation":"Halstead, B., Kleeman, P.M., DiRenzo, G.V., and Rose, J.P., 2022, Optimizing survey design for shasta salamanders (Hydromantes spp.) to estimate occurrence in little-studied portions of their range: Journal of Herpetology, v. 56, no. 2, p. 218-228, https://doi.org/10.1670/20-119.","productDescription":"11 p.","startPage":"218","endPage":"228","ipdsId":"IP-122740","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":414538,"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 -123.00000522454457,\n 41.09121042668312\n ],\n [\n -123.00000522454457,\n 40.367214942287546\n ],\n [\n -121.78104047296725,\n 40.367214942287546\n ],\n [\n -121.78104047296725,\n 41.09121042668312\n ],\n [\n -123.00000522454457,\n 41.09121042668312\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"56","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":867058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":867060,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867061,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70238066,"text":"70238066 - 2022 - Projecting flood frequency curves under near-term climate change","interactions":[],"lastModifiedDate":"2022-11-08T12:38:08.023903","indexId":"70238066","displayToPublicDate":"2022-08-09T06:35:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Projecting flood frequency curves under near-term climate change","docAbstract":"

Flood-frequency curves, critical for water infrastructure design, are typically developed based on a stationary climate assumption. However, climate changes are expected to violate this assumption. Here, we propose a new, climate-informed methodology for estimating flood-frequency curves under non-stationary future climate conditions. The methodology develops an asynchronous, semiparametric local-likelihood regression (ASLLR) model that relates moments of annual maximum flood to climate variables using the generalized linear model. We estimate the first two marginal moments (MM) – the mean and variance – of the underlying log-Pearson Type-3 distribution from the ASLLR with the monthly rainfall and temperature as predictors. The proposed methodology, ASLLR-MM, is applied to 40 U.S. Geological Survey streamgages covering 18 water resources regions across the conterminous United States. A correction based on the aridity index was applied on the estimated variance, after which the ASLLR-MM approach was evaluated with both historical (1951–2005) and projected (2006–2035, under RCP4.5 and RCP8.5) monthly precipitation and temperature from eight Global Circulation Models (GCMs) consisting of 39 ensemble members. The estimated flood-frequency quantiles resulting from the ASLLR-MM and GCM members compare well with the flood-frequency quantiles estimated using the historical period of observed climate and flood information for humid basins, whereas the uncertainty in model estimates is higher in arid basins. Considering additional atmospheric and land-surface conditions and a multi-level model structure that includes other basins in a region could further improve the model performance in arid basins.

","language":"English","publisher":"Wiley","doi":"10.1029/2021WR031246","usgsCitation":"Awasthi, C., Archfield, S.A., Ryberg, K.R., Kiang, J.E., and Sankarasubramanian, A., 2022, Projecting flood frequency curves under near-term climate change: Water Resources Research, v. 58, no. 8, e2021WR031246, 21 p., https://doi.org/10.1029/2021WR031246.","productDescription":"e2021WR031246, 21 p.","ipdsId":"IP-139361","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":409225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -128.3785240620699,\n 50.07881572127886\n ],\n [\n -128.3785240620699,\n 24.227669266731155\n ],\n [\n -65.80039906206952,\n 24.227669266731155\n ],\n [\n -65.80039906206952,\n 50.07881572127886\n ],\n [\n -128.3785240620699,\n 50.07881572127886\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"58","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Awasthi, Chandramauli 0000-0001-9826-5231","orcid":"https://orcid.org/0000-0001-9826-5231","contributorId":298942,"corporation":false,"usgs":false,"family":"Awasthi","given":"Chandramauli","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":856738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":856739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":856740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":856741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sankarasubramanian, A. 0000-0002-7668-1311","orcid":"https://orcid.org/0000-0002-7668-1311","contributorId":241034,"corporation":false,"usgs":false,"family":"Sankarasubramanian","given":"A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":856742,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70234273,"text":"fs20223050 - 2022 - U.S. Geological Survey Benchmark Glacier Project","interactions":[],"lastModifiedDate":"2022-09-27T13:34:54.990937","indexId":"fs20223050","displayToPublicDate":"2022-08-08T12:45:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3050","displayTitle":"U.S. Geological Survey Benchmark Glacier Project","title":"U.S. Geological Survey Benchmark Glacier Project","docAbstract":"

The ​U.S. Geological Survey Benchmark Glacier Project combines decades of direct glaciological data with remote sensing data to advance the quantitative understanding of glacier-climate interactions. The global loss of glaciers, and consequent implications for water resources, sea level rise, and ecosystem function underscores the importance of U.S. Geological Survey glaciology research to facilitate adaptive strategies.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223050","usgsCitation":"Florentine, C., and McKeon, L.A., 2022, U.S. Geological Survey Benchmark Glacier Project: U.S. Geological Survey Fact Sheet 2022-3050, 2 p., https://doi.org/10.3133/fs20223050.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-135923","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":404997,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223050/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2022-3050"},{"id":404895,"rank":5,"type":{"id":18,"text":"Project Site"},"url":"https://www.usgs.gov/programs/climate-research-and-development-program/science/glaciers-and-climate-project#data","text":"Glaciers and Climate Project"},{"id":404894,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3050/images"},{"id":404893,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3050/fs20223050.xml"},{"id":404892,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3050/fs20223050.pdf","text":"Report","size":"4.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3050"},{"id":404891,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3050/coverthb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.54150390625,\n 48.16608541901253\n ],\n [\n -120.12451171875,\n 48.16608541901253\n ],\n [\n -120.12451171875,\n 49.095452162534826\n ],\n [\n -122.54150390625,\n 49.095452162534826\n ],\n [\n -122.54150390625,\n 48.16608541901253\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.89501953124999,\n 47.945786463687185\n ],\n [\n -113.13720703125,\n 47.945786463687185\n ],\n [\n -113.13720703125,\n 48.980216985374994\n ],\n [\n -114.89501953124999,\n 48.980216985374994\n ],\n [\n -114.89501953124999,\n 47.945786463687185\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -134.5166015625,\n 58.286395482881034\n ],\n [\n -132.0556640625,\n 58.286395482881034\n ],\n [\n -132.0556640625,\n 59.64554025144323\n ],\n [\n -134.5166015625,\n 59.64554025144323\n ],\n [\n -134.5166015625,\n 58.286395482881034\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150.35888671875,\n 60.4788788301667\n ],\n [\n -147.65625,\n 60.4788788301667\n ],\n [\n -147.65625,\n 62.01121819833755\n ],\n [\n -150.35888671875,\n 62.01121819833755\n ],\n [\n -150.35888671875,\n 60.4788788301667\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -144.66796875,\n 63.03503931552975\n ],\n [\n -141.15234374999997,\n 63.03503931552975\n ],\n [\n -141.15234374999997,\n 64.47279382008166\n ],\n [\n -144.66796875,\n 64.47279382008166\n ],\n [\n -144.66796875,\n 63.03503931552975\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Northern Rocky Mountain Science Center
U.S. Geological Survey
2327 University Way, Suite 2
Bozeman, MT 59715

","tableOfContents":"","publishedDate":"2022-08-08","noUsgsAuthors":false,"publicationDate":"2022-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":848415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKeon, Lisa 0000-0002-1760-0235 lisa_mckeon@usgs.gov","orcid":"https://orcid.org/0000-0002-1760-0235","contributorId":3683,"corporation":false,"usgs":true,"family":"McKeon","given":"Lisa","email":"lisa_mckeon@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":848416,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70235869,"text":"70235869 - 2022 - An initial assessment of plankton tow detection probabilities for dreissenid mussels in the western United States","interactions":[],"lastModifiedDate":"2023-12-20T14:20:27.975397","indexId":"70235869","displayToPublicDate":"2022-08-08T09:08:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"An initial assessment of plankton tow detection probabilities for dreissenid mussels in the western United States","docAbstract":"

Early detection of dreissenid mussels (Dreissena polymorpha and D. rostriformis bugensis) is crucial to mitigating the economic and environmental impacts of an infestation. Plankton tow sampling is a common method used for early detection of dreissenid mussels, but little is known about the sampling intensity required for a high probability of early detection using the method. We used implicit dynamic occupancy models to estimate plankton tow detection probabilities of dreissenid mussels from a long-term data set containing plankton tow samples collected across central and western United States. We fit models using a) the entire data set, including water bodies with unknown occupancy status in addition to heavily infested water bodies, b) a data subset that included water bodies with paired water temperature data, and c) a data subset that included water bodies with lower dreissenid densities. For the entire data set, we found that estimated detection probabilities varied by water body size and ranged from approximately 0.10 to 0.86. For the water temperature subset, we observed the same pattern between detection probability and water body size as we did for the full data but additionally found that the estimated detection probabilities were much higher when water temperatures were above 12 °C. For the lower dreissenid density subset, we found that the estimated probability of detecting dreissenid mussels with a single aggregated plankton tow sample was near zero. Given these estimates, we conclude that the number of aggregated plankton tow samples taken per water body in the data is far fewer than the number needed to ensure a high probability of detecting dreissenid mussels, especially if they are at low densities. We summarize the analyses with a discussion of plankton tow sampling protocol changes needed to improve estimates of dreissenid detection probabilities.

","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2022.13.4.05","usgsCitation":"Winder, M., Sepulveda, A., and Hoegh, A., 2022, An initial assessment of plankton tow detection probabilities for dreissenid mussels in the western United States: Management of Biological Invasions, v. 13, no. 4, p. 659-678, https://doi.org/10.3391/mbi.2022.13.4.05.","productDescription":"20 p.","startPage":"659","endPage":"678","ipdsId":"IP-137748","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":446857,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2022.13.4.05","text":"Publisher Index Page"},{"id":405680,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.5703125,\n 34.016241889667015\n ],\n [\n -94.5703125,\n 37.09023980307208\n ],\n [\n -94.482421875,\n 39.639537564366684\n ],\n [\n -95.888671875,\n 40.84706035607122\n ],\n [\n -96.591796875,\n 42.94033923363181\n ],\n [\n -97.20703125,\n 49.15296965617042\n ],\n [\n -123.04687499999999,\n 49.15296965617042\n ],\n [\n -123.3984375,\n 48.16608541901253\n ],\n [\n -124.8046875,\n 48.22467264956519\n ],\n [\n -124.541015625,\n 40.245991504199026\n ],\n [\n -123.57421875,\n 38.34165619279595\n ],\n [\n -121.9921875,\n 35.60371874069731\n ],\n [\n -119.00390625,\n 33.358061612778876\n ],\n [\n -116.630859375,\n 32.69486597787505\n ],\n [\n -110.302734375,\n 31.203404950917395\n ],\n [\n -108.19335937499999,\n 31.42866311735861\n ],\n [\n -106.5234375,\n 31.80289258670676\n ],\n [\n -103.0078125,\n 32.39851580247402\n ],\n [\n -103.0078125,\n 36.38591277287651\n ],\n [\n -99.931640625,\n 36.4566360115962\n ],\n [\n -99.755859375,\n 34.30714385628804\n ],\n [\n -94.5703125,\n 34.016241889667015\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Winder, Meaghan","contributorId":295487,"corporation":false,"usgs":false,"family":"Winder","given":"Meaghan","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":849583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":849584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoegh, Andrew","contributorId":265906,"corporation":false,"usgs":false,"family":"Hoegh","given":"Andrew","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":849585,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70239346,"text":"70239346 - 2022 - Electrical imaging for hydrogeology","interactions":[],"lastModifiedDate":"2023-01-10T14:46:39.606987","indexId":"70239346","displayToPublicDate":"2022-08-08T08:29:37","publicationYear":"2022","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Electrical imaging for hydrogeology","docAbstract":"

Geophysical methods offer hydrogeologists unprecedented access to understanding subsurface parameters and processes. In this book, we outline the theory and application of electrical imaging methods, which inject current into the ground and measure the resultant potentials. These data are sensitive to rock type, grain size, porosity, pore fluid electrical conductivity, saturation, and temperature. Here, we describe the physical basis for electrical imaging, parallels between electrical flow equations and the groundwater flow equation, practical considerations for field investigations, data processing and inverse modeling of field data, and how to QA/QC data. We additionally cover two case studies, including a 2-D waterborne survey and a 4-D dataset from a biostimulation experiment.

","language":"English","publisher":"The Groundwater Project","usgsCitation":"Singha, K., Johnson, T.C., Day-Lewis, F., and Slater, L., 2022, Electrical imaging for hydrogeology, xi, 74 p.","productDescription":"xi, 74 p.","ipdsId":"IP-127811","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":411626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":411625,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://gw-project.org/books/electrical-imaging-for-hydrogeology/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":861207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Timothy C.","contributorId":199842,"corporation":false,"usgs":false,"family":"Johnson","given":"Timothy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":861209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":861208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slater, Lee D.","contributorId":255454,"corporation":false,"usgs":false,"family":"Slater","given":"Lee D.","affiliations":[{"id":39626,"text":"Rutgers University Newark","active":true,"usgs":false}],"preferred":false,"id":861210,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70237293,"text":"70237293 - 2022 - Divergent gene expression profiles in Alaskan sea otters: An indicator of chronic domoic acid exposure?","interactions":[],"lastModifiedDate":"2023-01-10T13:58:06.163068","indexId":"70237293","displayToPublicDate":"2022-08-08T08:17:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12618,"text":"Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Divergent gene expression profiles in Alaskan sea otters: An indicator of chronic domoic acid exposure?","docAbstract":"

An opportunistic investigation into ecosystem instability in Kachemak Bay (KBay), Alaska, has led us to investigate exposure to toxic algae in sea otters. We used gene expression to explore the physiological health of sea otters sampled in KBay in May 2019. We found altered levels of gene transcripts in comparison with reference sea otters from clinically normal, oil-exposed, and nutritionally challenged populations sampled over the past decade. KBay sea otters were markedly divergent from the other groups for five genes, which indicated the involvement of neurological, cardiac, immune, and detoxification systems. Further, analyses of urine and fecal samples detected domoic acid in the KBay sea otters. In combination, these results may point to chronic, low-level exposure to an algal toxin, such as domoic acid. With a warming climate, the frequency and severity of harmful algal blooms in marine environments is anticipated to increase, and novel molecular technologies to detect sublethal or chronic exposure to algal toxins will help provide an early warning of threats to the stability of populations and ecosystems.

","language":"English","publisher":"MDPI","doi":"10.3390/oceans3030027","usgsCitation":"Bowen, L., Knowles, S., Lefebvre, K., St Martin, M., Murray, M., Kloecker, K.A., Monson, D., Weitzman, B., Ballachey, B., Coletti, H., Waters-Dynes, S.C., and Cummings, C., 2022, Divergent gene expression profiles in Alaskan sea otters: An indicator of chronic domoic acid exposure?: Oceans, v. 3, no. 3, p. 401-418, https://doi.org/10.3390/oceans3030027.","productDescription":"18 p.","startPage":"401","endPage":"418","ipdsId":"IP-143428","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":446860,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/oceans3030027","text":"Publisher Index 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Concern","interactions":[],"lastModifiedDate":"2022-12-01T16:23:17.773293","indexId":"70238480","displayToPublicDate":"2022-08-08T07:24:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reference genome of the California glossy snake, Arizona elegans occidentalis: A declining California Species of Special Concern","title":"Reference genome of the California glossy snake, Arizona elegans occidentalis: A declining California Species of Special Concern","docAbstract":"

The glossy snake (Arizona elegans) is a polytypic species broadly distributed across southwestern North America. The species occupies habitats ranging from California’s coastal chaparral to the shortgrass prairies of Texas and southeastern Nebraska, to the extensive arid scrublands of central México. Three subspecies are currently recognized in California, one of which is afforded state-level protection based on the extensive loss and modification of its preferred alluvial coastal scrub and inland desert habitat. We report the first genome assembly of A. elegans occidentalis as part of the California Conservation Genomics Project (CCGP). Consistent with the reference genome strategy of the CCGP, we used Pacific Biosciences HiFi long reads and Hi-C chromatin-proximity sequencing technologies to produce a de novo assembled genome. The assembly comprises a total of 140 scaffolds spanning 1,842,602,218 base pairs, has a contig NG50 of 61 Mb, a scaffold NG50 of 136 Mb, and a BUSCO complete score of 95.9%, and is one of the most complete snake genome assemblies. The A. e. occidentalis genome will be a key tool for understanding the genomic diversity and the basis of adaptations within this species and close relatives within the hyperdiverse snake family Colubridae.

","language":"English","publisher":"Oxford University Press","doi":"10.1093/jhered/esac040","usgsCitation":"Wood, D.A., Richmond, J.Q., Escalona, M., Marimuthu, M.P., Nguyen, O., Sacco, S., Beraut, E., Westphal, M.F., Fisher, R., Vandergast, A.G., Toffelmier, E., Wang, I., and Shaffer, H., 2022, Reference genome of the California glossy snake, Arizona elegans occidentalis: A declining California Species of Special Concern: Journal of Heredity, v. 113, no. 6, p. 632-640, https://doi.org/10.1093/jhered/esac040.","productDescription":"9 p.","startPage":"632","endPage":"640","ipdsId":"IP-143455","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":446864,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9923794","text":"External Repository"},{"id":409680,"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 -117.11935248282103,\n 32.53882373045977\n ],\n [\n -114.50243196034603,\n 32.72786950214554\n ],\n [\n -114.64233250350489,\n 33.1520790618809\n ],\n [\n -114.58470276618635,\n 33.51373515511381\n ],\n [\n -114.41452412993016,\n 34.10031267745222\n ],\n [\n -114.11907829718999,\n 34.32357161601179\n ],\n [\n -114.67741209652053,\n 35.09778131876418\n ],\n [\n -117.76088232794436,\n 37.33676457017539\n ],\n [\n -119.42981485345024,\n 35.62249205151011\n ],\n [\n -121.63638617466606,\n 38.725574279970715\n ],\n [\n -122.54328366670836,\n 38.42830074064648\n ],\n [\n -119.57711374079892,\n 34.87314120906966\n ],\n [\n -118.19555417338168,\n 34.27246184404002\n ],\n [\n -117.90704702548453,\n 33.82510987924552\n ],\n [\n -117.26765483662936,\n 32.80899171054767\n ],\n [\n -116.97534971889436,\n 32.510621812966775\n ],\n [\n -117.11935248282103,\n 32.53882373045977\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"113","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":857588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":857589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Escalona, Merly","contributorId":299346,"corporation":false,"usgs":false,"family":"Escalona","given":"Merly","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":857590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marimuthu, Mohan P. 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Discharged wastewater treatment plant (WWTP) effluent greatly contributes to the generation of complex mixtures of contaminants of emerging concern (CECs) in aquatic environments which often contain neuropharmaceuticals and other emerging contaminants that may impact neurological function. However, there is a paucity of knowledge on the neurological impacts of these exposures to aquatic organisms. In this study, caged fathead minnows (Pimephales promelas) were exposed in situ in a temperate-region effluent-dominated stream (i.e., Muddy Creek) in Coralville, Iowa, USA upstream and downstream of a WWTP effluent outfall. The pharmaceutical composition of Muddy Creek was recently characterized by our team and revealed many compounds there were at a low microgram to high nanogram per liter concentration. Total RNA sequencing analysis on brain tissues revealed 280 gene isoforms that were significantly differentially expressed in male fish and 293 gene isoforms in female fish between the upstream and downstream site. Only 66 (13%) of such gene isoforms overlapped amongst male and female fish, demonstrating sex-dependent impacts on neuronal gene expression. By using a systems biology approach paired with functional enrichment analyses, we identified several potential novel gene biomarkers for treated effluent exposure that could be used to expand monitoring of environmental effects with respect to complex CEC mixtures. Lastly, when comparing the results of this study to those that relied on a single-compound approach, there was relatively little overlap in terms of gene-specific effects. This discovery brings into question the application of single-compound exposures in accurately characterizing environmental risks of complex mixtures and for gene biomarker identification.

","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/D2EM00222A","usgsCitation":"Schumann, P., Meade, E., Zhi, H., LeFevre, G.H., Kolpin, D., Meppelink, S.M., Iwanowicz, L., Lane, R.F., Schmoldt, A., Mueller, O., and Klaper, R.D., 2022, RNA-seq reveals potential gene biomarkers in fathead minnows (Pimephales promelas) for exposure to treated wastewater effluent: Environmental Science: Processes & Impacts, v. 24, no. 10, p. 1708-1724, https://doi.org/10.1039/D2EM00222A.","productDescription":"17 p.","startPage":"1708","endPage":"1724","ipdsId":"IP-139346","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":497359,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12424080/","text":"External Repository"},{"id":411177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","city":"Coralville","otherGeospatial":"Muddy Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.61724164528114,\n 41.69771995224261\n ],\n [\n -91.61724164528114,\n 41.66080698330228\n ],\n [\n -91.55683579728735,\n 41.66080698330228\n ],\n [\n -91.55683579728735,\n 41.69771995224261\n ],\n [\n -91.61724164528114,\n 41.69771995224261\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schumann, Peter","contributorId":300477,"corporation":false,"usgs":false,"family":"Schumann","given":"Peter","email":"","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":860313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meade, E.","contributorId":300478,"corporation":false,"usgs":false,"family":"Meade","given":"E.","email":"","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":860314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhi, H.","contributorId":300480,"corporation":false,"usgs":false,"family":"Zhi","given":"H.","email":"","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":860315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeFevre, G. 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D.","contributorId":243430,"corporation":false,"usgs":false,"family":"Klaper","given":"R.","email":"","middleInitial":"D.","affiliations":[{"id":13324,"text":"University of Wisconsin Milwaukee","active":true,"usgs":false}],"preferred":false,"id":860323,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70236949,"text":"70236949 - 2022 - Multi-decadal simulation of marsh topography evolution under sea level rise and episodic sediment loads","interactions":[],"lastModifiedDate":"2022-09-22T11:45:10.036468","indexId":"70236949","displayToPublicDate":"2022-08-08T06:42:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Multi-decadal simulation of marsh topography evolution under sea level rise and episodic sediment loads","docAbstract":"

Coastal marsh within Mediterranean climate zones is exposed to episodic watershed runoff and sediment loads that occur during storm events. Simulating future marsh accretion under sea level rise calls for attention to: (a) physical processes acting over the time scale of storm events and (b) biophysical processes acting over time scales longer than storm events. Using the upper Newport Bay in Southern California as a case study, we examine the influence of event-scale processes on simulated change in marsh topography by comparing: (a) a biophysical model that integrates with an annual time step and neglects event-scale processes (BP-Annual), (b) a physical model that resolves event-scale processes but neglects biophysical interactions (P-Event), and (c) a biophysical model that resolves event-scale physical processes and biophysical processes at annual and longer time scales (BP-Event). A calibrated BP-Event model shows that large (>20-year return period) episodic storm events are major drivers of marsh accretion, depositing up to 30 cm of sediment in one event. Greater deposition is predicted near fluvial sources and tidal channels and less on marshes further from fluvial sources and tidal channels. In contrast, the BP-Annual model poorly resolves spatial structure in marsh accretion as a consequence of neglecting event-scale processes. Furthermore, the P-Event model significantly overestimates marsh accretion as a consequence of neglecting marsh surface compaction driven by annual scale biophysical processes. Differences between BP-Event and BP-Annual models translate up to 20 cm per century in marsh surface elevation.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JF006526","usgsCitation":"Brand, M.W., Buffington, K., Rogers, J.B., Thorne, K., Stein, E.D., and Sanders, B.F., 2022, Multi-decadal simulation of marsh topography evolution under sea level rise and episodic sediment loads: Journal of Geophysical Research: Earth Surface, v. 127, no. 9, e2021JF006526, 20 p., https://doi.org/10.1029/2021JF006526.","productDescription":"e2021JF006526, 20 p.","ipdsId":"IP-139798","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":446866,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021jf006526","text":"Publisher Index Page"},{"id":407208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Newport Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.0316162109375,\n 33.52536850360117\n ],\n [\n -117.7679443359375,\n 33.52536850360117\n ],\n [\n -117.7679443359375,\n 33.735760815044635\n ],\n [\n -118.0316162109375,\n 33.735760815044635\n ],\n [\n -118.0316162109375,\n 33.52536850360117\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Brand, M W","contributorId":296909,"corporation":false,"usgs":false,"family":"Brand","given":"M","email":"","middleInitial":"W","affiliations":[{"id":6976,"text":"University of California, Irvine","active":true,"usgs":false}],"preferred":false,"id":852774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":852775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, J B","contributorId":296910,"corporation":false,"usgs":false,"family":"Rogers","given":"J","email":"","middleInitial":"B","affiliations":[{"id":64239,"text":"Southern California Coastal Water Research Project, Costa Mesa, CA","active":true,"usgs":false}],"preferred":false,"id":852776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":852777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stein, E D","contributorId":296911,"corporation":false,"usgs":false,"family":"Stein","given":"E","email":"","middleInitial":"D","affiliations":[{"id":64239,"text":"Southern California Coastal Water Research Project, Costa Mesa, CA","active":true,"usgs":false}],"preferred":false,"id":852778,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanders, B F","contributorId":296912,"corporation":false,"usgs":false,"family":"Sanders","given":"B","email":"","middleInitial":"F","affiliations":[{"id":6976,"text":"University of California, Irvine","active":true,"usgs":false}],"preferred":false,"id":852779,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70238346,"text":"70238346 - 2022 - Diverse tsunamigenesis triggered by the Hunga Tonga-Hunga Ha’apai eruption","interactions":[],"lastModifiedDate":"2022-11-17T12:44:49.762577","indexId":"70238346","displayToPublicDate":"2022-08-08T06:40:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Diverse tsunamigenesis triggered by the Hunga Tonga-Hunga Ha’apai eruption","docAbstract":"

On the evening of 15 January 2022, the Hunga Tonga-Hunga Ha’apai volcano1 unleashed a violent underwater eruption, blanketing the surrounding land masses in ash and debris. The eruption generated tsunamis observed around the world. An event of this type last occurred in 1883 during the eruption of Krakatau, and thus we have the first observations of a tsunami from a large emergent volcanic eruption captured with modern instrumentation. Here we show that the explosive eruption generated waves through multiple mechanisms, including: (1) air–sea coupling with the initial and powerful shock wave radiating out from the explosion in the immediate vicinity of the eruption; (2) collapse of the water cavity created by the underwater explosion; and (3) air–sea coupling with the air-pressure pulse that circled the Earth several times, leading to a global tsunami. In the near field, tsunami impacts are strongly controlled by the water-cavity source whereas the far-field tsunami, which was unusually persistent, can be largely described by the air-pressure pulse mechanism. Catastrophic damage in some harbours in the far field was averted by just tens of centimetres, implying that a modest sea level rise combined with a future, similar event would lead to a step-function increase in impacts on infrastructure. Piecing together the complexity of this event has broad implications for coastal hazards in similar geophysical settings, suggesting a currently neglected source of global tsunamis.

","language":"English","publisher":"Nature","doi":"10.1038/s41586-022-05170-6","usgsCitation":"Lynett, P., McCann, M., Zhou, Z., Renteria, W., Borrero, J., Greer, D., Fa’anunu, ’., Bosserelle, C., Jaffe, B.E., La Selle, S., Ritchie, A.C., Snyder, A.G., Nasr, B., Bott, J., Graehl, N., Synolakis, C., Ebrahimi, B., and Cinar, E., 2022, Diverse tsunamigenesis triggered by the Hunga Tonga-Hunga Ha’apai eruption: Nature, v. 609, p. 728-733, https://doi.org/10.1038/s41586-022-05170-6.","productDescription":"6 p.","startPage":"728","endPage":"733","ipdsId":"IP-138492","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":446869,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41586-022-05170-6","text":"Publisher Index Page"},{"id":409413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Hunga Tonga–Hunga Haʻapai","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -175.27960338675533,\n -19.687559762945455\n ],\n [\n -175.27960338675533,\n -20.366959342757923\n ],\n [\n -174.4441245778288,\n -20.366959342757923\n ],\n [\n -174.4441245778288,\n -19.687559762945455\n ],\n [\n -175.27960338675533,\n -19.687559762945455\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"609","noUsgsAuthors":false,"publicationDate":"2022-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynett, Patrick","contributorId":196027,"corporation":false,"usgs":false,"family":"Lynett","given":"Patrick","affiliations":[],"preferred":false,"id":857208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCann, 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Jose","contributorId":299182,"corporation":false,"usgs":false,"family":"Borrero","given":"Jose","affiliations":[{"id":64785,"text":"eCoast Marine Consulting and Research","active":true,"usgs":false}],"preferred":false,"id":857212,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Greer, Dougal","contributorId":299183,"corporation":false,"usgs":false,"family":"Greer","given":"Dougal","email":"","affiliations":[{"id":64785,"text":"eCoast Marine Consulting and Research","active":true,"usgs":false}],"preferred":false,"id":857213,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fa’anunu, ’Ofa","contributorId":299186,"corporation":false,"usgs":false,"family":"Fa’anunu","given":"’Ofa","email":"","affiliations":[{"id":64787,"text":"Tonga Meteorological Service","active":true,"usgs":false}],"preferred":false,"id":857214,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bosserelle, 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agsnyder@usgs.gov","orcid":"https://orcid.org/0000-0001-6250-4827","contributorId":171654,"corporation":false,"usgs":true,"family":"Snyder","given":"Alexander","email":"agsnyder@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":857219,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nasr, Brandon 0000-0002-9231-5864","orcid":"https://orcid.org/0000-0002-9231-5864","contributorId":299188,"corporation":false,"usgs":false,"family":"Nasr","given":"Brandon","email":"","affiliations":[{"id":64790,"text":"Contractor to USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":857220,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bott, Jaqueline","contributorId":299189,"corporation":false,"usgs":false,"family":"Bott","given":"Jaqueline","email":"","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":857221,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Graehl, Nicholas A","contributorId":194372,"corporation":false,"usgs":false,"family":"Graehl","given":"Nicholas A","affiliations":[],"preferred":false,"id":857222,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Synolakis, Costas","contributorId":299190,"corporation":false,"usgs":false,"family":"Synolakis","given":"Costas","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":857223,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ebrahimi, Behzad","contributorId":299191,"corporation":false,"usgs":false,"family":"Ebrahimi","given":"Behzad","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":857224,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Cinar, 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Livestock predation can pose socio-economic impacts on rural livelihoods and is the main cause of retaliatory killings of carnivores in many countries. Therefore, appropriate interventions to reduce livestock predation, lower conflict and promote coexistence are needed. Livestock guarding dogs have been traditionally used to reduce predation, yet details regarding the use of dogs, especially the number of dogs per herd effectively required, are rarely studied. In this study, we assessed how the number and presence of guarding dogs in a herd can reduce livestock losses to leopard and wolf in corrals at night and on grazing grounds in day-time. Using systematic interview surveys (2016-2019), we documented sheep/goat losses per attack (predation rates) from 139 shepherds across 32 villages around Golestan National Park, Iran. We analysed the effects of the number of dogs, presence of dogs, presence of shepherds, seasons, corral quality, livestock number, dog size, distance to villages and distance to reserve on predation rates using generalized linear models. For the leopard model, dog presence significantly decreased (β = –1.80, 95% confidence interval –2.61 to –0.81) predation rates during day-time to 1.41 individuals per attack. For wolf attacks in corrals at night, predation rates significantly decreased (β = –0.29, –0.54 to –0.04) with increasing dog numbers. Also, shepherd presence (β = –0.56, –1.10 to –0.10) and herd size (β = –0.36, –0.60 to –0.12) significantly reduced predation rates. In the wolf day-time model, shepherd presence significantly decreased (β = –0.93, –1.74 to –0.10) predation rates. Our study suggests that (1) using dogs can reduce, but not eliminate, predation by leopards during day-time; (2) with every additional dog, predation rates by wolves in corrals at night are likely to decrease on average by 25.2%; and (3) the presence of shepherds in corrals at night and during day-time can reduce predation rates.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.baae.2022.08.001","usgsCitation":"Soofi, M., Soufi, M., Royle, A., Waltert, M., and Khorozyan, I., 2022, Numbers and presence of guarding dogs affect wolf and leopard predation on livestock in northeastern Iran: Basic and Applied Ecology, v. 64, p. 147-156, https://doi.org/10.1016/j.baae.2022.08.001.","productDescription":"10 p.","startPage":"147","endPage":"156","ipdsId":"IP-136891","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":446872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.baae.2022.08.001","text":"Publisher Index Page"},{"id":408278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iran","otherGeospatial":"Azizabad No-Hunting Area, Golestan National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 55.52490234375,\n 37.18876668723709\n ],\n [\n 56.34063720703125,\n 37.18876668723709\n ],\n [\n 56.34063720703125,\n 37.694687703235914\n ],\n [\n 55.52490234375,\n 37.694687703235914\n ],\n [\n 55.52490234375,\n 37.18876668723709\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Soofi, Mahmood","contributorId":297883,"corporation":false,"usgs":false,"family":"Soofi","given":"Mahmood","email":"","affiliations":[{"id":64430,"text":"Department of Conservation Biology, University of Goettingen,","active":true,"usgs":false}],"preferred":false,"id":854546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soufi, Mobin","contributorId":297884,"corporation":false,"usgs":false,"family":"Soufi","given":"Mobin","email":"","affiliations":[{"id":64431,"text":"Department of the Environment, Faculty of Fishery and Environment, Gorgan University of Agriculture and Natural Resources, Gorgan, Iran","active":true,"usgs":false}],"preferred":false,"id":854547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":854548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waltert, Matthias","contributorId":297885,"corporation":false,"usgs":false,"family":"Waltert","given":"Matthias","email":"","affiliations":[{"id":62110,"text":"Department of Conservation Biology, University of Goettingen","active":true,"usgs":false}],"preferred":false,"id":854549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Khorozyan, Igor","contributorId":297886,"corporation":false,"usgs":false,"family":"Khorozyan","given":"Igor","email":"","affiliations":[{"id":62110,"text":"Department of Conservation Biology, University of Goettingen","active":true,"usgs":false}],"preferred":false,"id":854550,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70243220,"text":"70243220 - 2022 - New projections of 21st century climate and hydrology for Alaska and Hawaiʻi","interactions":[],"lastModifiedDate":"2023-05-04T11:52:28.55815","indexId":"70243220","displayToPublicDate":"2022-08-07T06:50:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5567,"text":"Climate Services","active":true,"publicationSubtype":{"id":10}},"title":"New projections of 21st century climate and hydrology for Alaska and Hawaiʻi","docAbstract":"

In the United States, high-resolution, century-long, hydroclimate projection datasets have been developed for water resources planning, focusing on the contiguous United States (CONUS) domain. However, there are few statewide hydroclimate projection datasets available for Alaska and Hawaiʻi. The limited information on hydroclimatic change motivates developing hydrologic scenarios from 1950 to 2099 using climate-hydrology impact modeling chains consisting of multiple statistically downscaled climate projections as input to hydrologic model simulations for both states. We adopt an approach similar to the previous CONUS hydrologic assessments where: 1) we select the outputs from ten global climate models (GCM) from the Coupled Model Intercomparison Project Phase 5 with Representative Concentration Pathways 4.5 and 8.5; 2) we perform statistical downscaling to generate climate input data for hydrologic models (12-km grid-spacing for Alaska and 1-km for Hawaiʻi); and 3) we perform process-based hydrologic model simulations. For Alaska, we have advanced the hydrologic model configuration from CONUS by using the full water-energy balance computation, frozen soils and a simple glacier model. The simulations show that robust warming and increases in precipitation produce runoff increases for most of Alaska, with runoff reductions in the currently glacierized areas in Southeast Alaska. For Hawaiʻi, we produce the projections at high resolution (1 km) which highlight high spatial variability of climate variables across the state, and a large spread of runoff across the GCMs is driven by a large precipitation spread across the GCMs. Our new ensemble datasets assist with state-wide climate adaptation and other water planning.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.cliser.2022.100312","usgsCitation":"Mizukami, N., Newman, A.J., Littell, J., Giambelluca, T., Wood, A.W., Gutmann, E.D., Hamman, J.J., Gergel, D., Nijssen, B., Clark, M., and Arnold, J.R., 2022, New projections of 21st century climate and hydrology for Alaska and Hawaiʻi: Climate Services, v. 27, 100312, 15 p., https://doi.org/10.1016/j.cliser.2022.100312.","productDescription":"100312, 15 p.","ipdsId":"IP-141391","costCenters":[{"id":49028,"text":"Alaska Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":446875,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cliser.2022.100312","text":"Publisher Index Page"},{"id":416702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n 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.","contributorId":304731,"corporation":false,"usgs":false,"family":"Clark","given":"Martyn","email":"","middleInitial":".","affiliations":[{"id":66154,"text":"Centre for Hydrology, University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":871508,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Arnold, Jeffrey R.","contributorId":178125,"corporation":false,"usgs":false,"family":"Arnold","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":871509,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ]}