Global conservation policy and action have largely neglected protecting and monitoring genetic diversity—one of the three main pillars of biodiversity. Genetic diversity (diversity within species) underlies species’ adaptation and survival, ecosystem resilience, and societal innovation. The low priority given to genetic diversity has largely been due to knowledge gaps in key areas, including the importance of genetic diversity and the trends in genetic diversity change; the perceived high expense and low availability and the scattered nature of genetic data; and complicated concepts and information that are inaccessible to policymakers. However, numerous recent advances in knowledge, technology, databases, practice, and capacity have now set the stage for better integration of genetic diversity in policy instruments and conservation efforts. We review these developments and explore how they can support improved consideration of genetic diversity in global conservation policy commitments and enable countries to monitor, report on, and take action to maintain or restore genetic diversity.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biab054","usgsCitation":"Hoban, S.M., Bruford, M.W., Funk, W., Galbusera, P., Griffith, M.P., Grueber, C.E., Heuertz, M., Hunter, M., Hvilsom, C., Stroil, B., Kershaw, F., Khoury, C.K., Laikre, L., Lopes-Fernandes, M., MacDonald, A.J., Mergeay, J., Meek, M., Mittan, C., Mukassabi, T.A., O'Brien, D., Ogden, R., Palma-Silva, C., Ramakrishnan, U., Segelbacher, G., Shaw, R.E., Sjogren-Gulve, P., Velickovic, N., and Vernesi, C., 2021, Global commitments to conserving and monitoring genetic diversity are now necessary and feasible: BioScience, biab054, 13 p., https://doi.org/10.1093/biosci/biab054.","productDescription":"biab054, 13 p.","ipdsId":"IP-123824","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":452136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biab054","text":"Publisher Index Page"},{"id":387073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hoban, Sean M. 0000-0002-0348-8449","orcid":"https://orcid.org/0000-0002-0348-8449","contributorId":206582,"corporation":false,"usgs":false,"family":"Hoban","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":818910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruford, Michael W.","contributorId":190769,"corporation":false,"usgs":false,"family":"Bruford","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":818911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, W. 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Nevena","contributorId":260839,"corporation":false,"usgs":false,"family":"Velickovic","given":"Nevena","email":"","affiliations":[{"id":52691,"text":"University of Novi Sad, Faculty of Sciences, Department of Biology and Ecology, Novi Sad, Serbia","active":true,"usgs":false}],"preferred":false,"id":818936,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Vernesi, Cristiano","contributorId":239922,"corporation":false,"usgs":false,"family":"Vernesi","given":"Cristiano","email":"","affiliations":[{"id":48051,"text":"Dept. of Sustainable Agroecosystems and Bioresources, Research and Innovation Centre - Fondazione Edmund Mach","active":true,"usgs":false}],"preferred":false,"id":818937,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}} ,{"id":70227526,"text":"70227526 - 2021 - Does type, quantity, and location of habitat matter for fish diversity in a Great Plains riverscape?","interactions":[],"lastModifiedDate":"2022-01-20T12:50:09.006233","indexId":"70227526","displayToPublicDate":"2021-05-26T06:45:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Does type, quantity, and location of habitat matter for fish diversity in a Great Plains riverscape?","docAbstract":"Fisheries professionals frequently measure habitat type and amount, but less often measure the importance of where those habitats are located and in what combinations. We address this challenge by testing whether the individual and combined type, quantity, and location of habitat affects fish diversity in the upper Neosho River basin, Kansas, as a different approach to measuring habitat heterogeneity. Habitat type mattered in that species richness increased in areas of higher riffle density. Furthermore, variation within habitat type also influenced fish diversity; specifically, slower, shallower riffles had more species of fish. The spatial arrangement (i.e., impact of neighbor habitats) influenced fish diversity patterns in that riffle–run and riffle–glide pairings altered riffle habitat characteristics. The study illustrates a useful approach by measuring the type, amount, and arrangement of habitats to assess fish populations and could be adapted to other stream ecosystems.
Groundwater quality in the northern Sierra Nevada foothills region of California was investigated as part of California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring Assessment Priority Basin Project (GAMA-PBP). The region was divided into two study units: the Yuba-Bear watersheds (YBW) study unit and the American-Cosumnes-Mokelumne watersheds (ACMW) study unit. The GAMA-PBP made a spatially unbiased assessment of aquifer systems used for domestic drinking-water supply in the study region, which are predominantly composed of fractured, hard-rock aquifers of varying lithology. These assessments characterized the quality of raw groundwater to evaluate ambient conditions in the domestic-supply aquifer and not the quality of treated drinking water.
The study included three components: (1) a status assessment, which characterized the quality of groundwater resources used for domestic drinking-water supply in the YBW and ACMW study units; (2) an understanding assessment, which evaluated natural and anthropogenic explanatory factors that could potentially affect groundwater quality in the study region; and (3) a comparative assessment between the groundwater resources used for domestic and public drinking-water supply in the study region.
The status assessment was based on data collected by the GAMA-PBP from 74 sites in the YBW study unit during 2015–16 and 67 sites in the ACMW study unit from 2016 to 2017. To contextualize water-quality results, concentrations of water-quality constituents in ambient groundwater were compared to regulatory and non-regulatory benchmarks typically used by the State of California and Federal agencies as health-based or aesthetic standards for public drinking water. The status assessment used a grid-based method to estimate proportions of groundwater resources with concentrations approaching or exceeding benchmark thresholds. This method provides spatially unbiased results and allows inter-comparability with similar groundwater-quality assessments.
Inorganic constituents with health-based benchmarks were present at high relative concentration (RC), meaning they exceeded the benchmark threshold, in 5.4 and 10 percent of domestic-supply aquifer systems in the YBW and ACMW study units, respectively. Inorganic constituents with aesthetic-based benchmarks were detected at high-RCs in 20 and 28 percent of the YBW and ACMW study units, respectively. The inorganic constituents present at high RC were arsenic, barium, boron, molybdenum, strontium, nitrate, adjusted gross-alpha particle activity, chloride, total dissolved solids, specific conductance, iron, manganese, and hardness. Groundwater samples were tested for presence or absence of three microbial indicators (total coliform, Escherichia coli, and Enterococci). At least one microbial indicator was present in 26 and 28 percent of the YBW and ACMW study units, respectively. At least one organic constituent was detected in 30 and 42 percent of the YBW and ACMW study units, respectively. Organic constituents were not present at high RC, but tetrachloroethene (PCE), trichloroethene (TCE), and toluene were detected in the YBW study unit at moderate RC (between the benchmark concentration and one-tenth of the benchmark concentration). Methyl tert-butyl ether (MTBE) and chloroform were present at low RC (less than one-tenth of the benchmark concentration) in the YBW and ACMW study units with detection frequencies greater than 10 percent. Perchlorate, a constituent of special interest, was detected in 31 and 41 percent of the YBW and ACMW study units, respectively, at either low or moderate RCs.
Relations among select water-quality constituents and potential explanatory factors were evaluated using statistical and graphical approaches. Nitrate, microbial indicators, and perchlorate were all correlated to elevation-dependent variables relating to climate, land use, and recharge condition. Isotopic and dissolved noble-gas tracers indicated these water-quality constituents are associated with recharge conditions associated with irrigation during the summer dry-season, which is common in areas of rural-residential or agricultural land uses. Higher concentrations of iron and manganese were primarily associated with anoxic groundwater in aquifers of metasedimentary lithology. Increased hardness was primarily associated with anoxic groundwater in aquifers of mafic-ultramafic or metavolcanics lithologies at lower elevations in the study region in the Melones fault zone. Chloroform and MTBE were associated with shallow groundwater (wells depths less than 130 m) under oxic and anoxic redox conditions, respectively.
The comparative assessment evaluated differences between the aquifer systems used for domestic- and public-supply in study region based on (1) well-construction characteristics, and (2) water quality. Analysis of over 60,000 well-completion reports in the study region showed that although domestic-supply wells span the deepest depth zones in regional aquifers, median depths for public-supply wells were significantly greater than those of domestic-supply wells in both study units. Water-quality data from more than 300 public-supply wells in the study region were assessed using a spatially weighted method for calculation aquifer-scale proportions and compared with the domestic-supply assessment results. Detections of inorganic constituents at high RC and detection frequencies for organic constituents were generally similar between the domestic- and public-supply aquifer systems in both study units, with a few notable exceptions in the ACMW study unit: nitrate was greater for the public- compared to domestic-supply aquifer system and both manganese, hardness, and MTBE were greater in the domestic- compared to public-supply aquifer system. These differences are likely related to contrasting land uses, aquifer lithologies, landscape positions, and depths characterizing domestic- and public-supply wells in the ACMW study unit.
Overall, fewer samples from domestic-supply wells in the northern Sierra Nevada foothills exceeded health-based benchmarks compared to aesthetic-based benchmarks for groundwater quality. Exceedences of health-based benchmarks were primarily caused by nitrate and coliform bacteria, which were associated with recharge from diverted surface water used primarily for irrigation. Exceedences of aesthetic-based benchmarks were primarily caused by iron, managanese, and hardness, which were associated with geologic factors. Regional irrigation practices and aquifer lithology can affect groundwater quality in fractured-rock aquifers in the northern Sierra Nevada foothills used for domestic drinking-water supply.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215019","collaboration":"Prepared in cooperation with the California State Water Resources Control BoardDirector,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Approximately 2 million California residents depend on groundwater from domestic wells for their drinking-water supply. The State of California, in collaboration with the U.S. Geological Survey, created the Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP) to assess the quality of groundwater used for domestic supply throughout the state and determine regional vulnerabilities to drinking-water resources. Many rural households in the northern Sierra Nevada foothills (hereafter referred to as “the foothills”) use domestic wells that pump water from fractured-bedrock aquifers. In the foothills, complicated and varied regional bedrock geology can cause substantial variation in groundwater chemistry and quality over relatively short distances. This factsheet presents findings from the GAMA-PBP assessment that highlight influences of geologic factors on groundwater quality in the foothills.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213013","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Levy, Z.F. and Fram, M.S., 2021, Geologic influences on the quality of groundwater used for domestic supply in the northern Sierra Nevada Foothills: U.S. Geological Survey Fact Sheet 2021-3013, 4 p., https://doi.org/10.3133/fs20213013.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-117979","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":385799,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20215019","text":"Scientific Investigations Report 2021-5019","linkHelpText":"- Status and Understanding of Groundwater Quality in the Northern Sierra Nevada Foothills Domestic-Supply Aquifer Study Units, 2015–17: California GAMA Priority Basin Project"},{"id":385797,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2021/3013/fs20213013.xml"},{"id":385796,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3013/fs20213013.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":385795,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3013/covrthb.jpg"},{"id":385798,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2021/3013/images"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada foothills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.81640624999999,\n 37.56199695314352\n ],\n [\n -119.06982421874999,\n 37.56199695314352\n ],\n [\n -119.06982421874999,\n 39.70718665682654\n ],\n [\n -121.81640624999999,\n 39.70718665682654\n ],\n [\n -121.81640624999999,\n 37.56199695314352\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"GAMA Project Chief
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, CA 95819
Telephone number: (916) 278-3000
GAMA Program Unit Chief
State Water Resources Control Board
Division of Water Quality
PO Box 2231, Sacramento, CA 95812
Telephone number: (916) 341-5855
Per- and polyfluoroalkyl substances (PFAS) are a family of human-made chemicals that can persist in the environment. In 2019, the California State Water Resources Control Board’s Groundwater Ambient Monitoring and Assessment Priority Basin Project (GAMA-PBP) added PFAS to the projects’ on-going assessments of the quality of groundwater used for drinking-water supplies. This fact sheet describes the GAMA-PBP plans for sampling public-supply and domestic wells across California for PFAS and presents preliminary results for data collected in 2019–20.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213028","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Kent, R.H., 2021, Sampling for Per- and Polyfluoroalkyl Substances (PFAS) by the Groundwater Ambient Monitoring and Assessment Priority Basin Project: U.S. Geological Survey Fact Sheet 2021-3028, 4 p., https://doi.org/10.3133/fs20213028.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-124312","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":436338,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92IPRJD","text":"USGS data release","linkHelpText":"Data sets for: Sampling for Per- and Polyfluoroalkyl Substances (PFAS) by the Groundwater Ambient Monitoring and Assessment Priority Basin Project 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\"}}]}","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
The U.S. Geological Survey, in cooperation with the Muskingum Watershed Conservancy District and the city of Rittman, Ohio, did a study to provide data to update and expand parts of two Federal Emergency Management Agency Flood Insurance Studies. The study consisted of hydrologic and hydraulic analyses for selected reaches of four streams (Chippewa Creek, Little Chippewa Creek, Styx River, and the unnamed tributary to Styx River) near the city of Rittman in Wayne and Medina Counties, Ohio. The study covered 36.2 miles of stream reaches.
Instantaneous peak streamflows for floods with 10-, 4-, 2-, 1-, and 0.2-percent and 1-percent plus annual exceedance probabilities were estimated using historical streamflow data from three U.S. Geological Survey streamgages and regional flood-frequency regression equations. The flood-frequency estimates were then used in a Hydrologic Engineering Center River Analysis System step-backwater model to determine water-surface profiles; flood-inundation boundaries for the 10-, 4-, 2-, 1-, and 0.2-percent and 1-percent plus annual exceedance probabilities; and a regulatory floodway for the study reaches. Model inputs included cross sections derived from a digital elevation model supplemented with field surveys of open-channel cross sections and hydraulic structures, field estimates of Manning’s roughness values, and flood estimates determined from regional regression equations and historical streamflow data. Flood-inundation boundaries were mapped for each stream reach for the 1- and 0.2-percent annual exceedance probability floods and a regulatory floodway. All data used in the creation of the flood-inundation boundaries are available through a U.S. Geological Survey data release (Ostheimer, 2021) and will be submitted to the Federal Emergency Management Agency for inclusion in updated Flood Insurance Studies for Wayne and Medina Counties.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215040","collaboration":"Prepared in cooperation with the city of Rittman and the Muskingum Watershed Conservancy District","usgsCitation":"Ostheimer, C.J., 2021, Hydrologic and hydraulic analyses of selected streams near the city of Rittman in Wayne and Medina Counties, Ohio: U.S. Geological Survey Scientific Investigations Report 2021–5040, 30 p., https://doi.org/10.3133/sir20215040.","productDescription":"Report: iv, 30 p.; Data Release","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-117425","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":385929,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W6ROMC","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geospatial data sets and hydraulic models for selected streams near Rittman in Wayne and Medina Counties, Ohio"},{"id":385927,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5040/coverthb.jpg"},{"id":385956,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5040/images"},{"id":385928,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5040/sir20215040.pdf","text":"Report","size":"7.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5040"}],"country":"United States","state":"Ohio","county":"Wayne County, Medina County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-81.6845,41.2772],[-81.6885,40.9887],[-81.6477,40.9884],[-81.648,40.9145],[-81.6483,40.7371],[-81.6491,40.6681],[-82.126,40.6682],[-82.1266,40.778],[-82.1292,40.9921],[-82.1736,40.9922],[-82.1722,41.0435],[-82.1714,41.0639],[-82.1699,41.1251],[-82.1699,41.1369],[-82.0741,41.1362],[-82.0725,41.2001],[-81.9736,41.1998],[-81.9724,41.2747],[-81.8777,41.2747],[-81.7848,41.2765],[-81.6845,41.2772]]]},\"properties\":{\"name\":\"Medina\",\"state\":\"OH\"}}]}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
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6460 Busch Blvd., Suite 100
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The lower Las Vegas Wash represents the terminal surface drainage for the Las Vegas Valley in southern Nevada. In 1997, high concentrations of perchlorate were found in seeps contributing to discharge in this area and traced to an industrial byproduct from manufacturing operations in the mid-1900s at the nearby Basic Magnesium, Incorporated, plant. The discovery prompted a water-resources investigation by the Nevada Department of Environmental Protection (NDEP) to develop an understanding of the nearby groundwater flow system and the dynamics associated with surface-water flow in the Wash. In 2016, the U.S. Geological Survey was tasked with evaluating surface-water discharge in the lower Las Vegas Wash near locations where perchlorate concentrations from the groundwater system had been detected. Results of this study will assist NDEP with identifying areas of groundwater and surface-water interaction and help guide future cleanup and monitoring efforts.
Streamflow discharge is evaluated along a 4-mile section of the lower Las Vegas Wash (referred to as the Wash) and used to describe surface-water and groundwater interactions between the Wash channel and bank sediments. Continuous discharge data were collected during a 2-year period (2016–18) at 5 gaging stations along the Wash. Additionally, multiple discrete measurements between gaging stations were collected during 4 synoptic sampling events between 2016 and 2018.
A diurnal discharge pattern, controlled by upstream treated wastewater releases, provided high- and low-discharge markers that are used to compute downstream time-lags of peak and minimum flows. Computed time-lags are used to establish travel times between measurement sites, and difference in upstream and time-lagged downstream hydrographs are used to compute increases (gain) or decreases (loss) in discharge between gaging stations or between gaging stations and discrete measurements. Tributary surface-water inflows to the lower Las Vegas Wash from wastewater discharge, remediation efforts, and periodic flooding from rainfall runoff are included in computing differences in discharge. Differences between discharge data from delineated reaches are used to define locations of daily, monthly, and yearly streamflow gains from or losses to adjacent bank sediments. Construction of additional channel-stabilization weirs have occurred since the completion of this study and the associated change to streamflow dynamics may limit study results to the period analyzed; however, methods and processes described in this report can be used in future evaluations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215034","collaboration":"Prepared in cooperation with the Nevada Division of Environmental Protection","usgsCitation":"Wilson, J.W., 2021, Discharge data collection and analysis and implications for surface-water/groundwater interactions in the lower Las Vegas Wash, Clark County, Nevada, 2016–18: U.S. Geological Survey Scientific Investigations Report 2021–5034, 25 p., https://doi.org/10.3133/sir20215034.","productDescription":"Report: vi, 25 p.; Data Release","numberOfPages":"25","onlineOnly":"Y","ipdsId":"IP-091622","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":385836,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UQCOSM","linkHelpText":"Trace of the Lower Las Vegas Wash Study Area, 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Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road
Carson City, Nevada 95819
Shallow areas of drawdown reservoirs are often devoid of adequate fish habitat due to degradation associated with unnatural and relatively invariable cycles of exposure and flooding. One method of enhancing fish habitat in these areas is to sow exposed shorelines with agricultural plants to provide structure once flooded. It remains unclear if some plants may be more suitable than others to provide effective fish habitat. To determine the fish habitat potential of various crops, we performed a replicated tank experiment evaluating the selection of agricultural plants by prey and predator fishes with and without the presence of the other. We submerged diverse treatments of potted plants in outdoor mesocosms stocked with prey and/or predator fish and monitored selection of plant species, stem density, and stem height over 0.5-h trials. Prey fish selected the densest vegetation, and selection was accentuated when a predator was present. Predators selected the second highest stem density and were more active when prey were present. Prey schooling was increased by predation risk, suggesting that cover was insufficient to outweigh the advantages of increased group size. Our data indicate that the perception of cover quality is reciprocally context dependent on predator–prey interactions for both predator and prey. Applications of the two most selected plant treatments in this study could enhance structural habitat for both predator and prey fishes in reservoirs, adding to their already reliable functionality as supplemental forage crops for terrestrial wildlife.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/JFWM-20-083","usgsCitation":"Coppola, G., Miranda, L.E., Colvin, M., Hatcher, H., and Lashley, M., 2021, Selection of habitat-enhancing plants depends on predator-prey interactions: Journal of Fish and Wildlife Management, v. 12, no. 2, p. 294-307, https://doi.org/10.3996/JFWM-20-083.","productDescription":"14 p.","startPage":"294","endPage":"307","ipdsId":"IP-121514","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":452137,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-20-083","text":"Publisher Index Page"},{"id":396556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Coppola, G.","contributorId":265335,"corporation":false,"usgs":false,"family":"Coppola","given":"G.","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":836399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colvin, M. E.","contributorId":265334,"corporation":false,"usgs":false,"family":"Colvin","given":"M. E.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":836401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcher, H. R.","contributorId":265333,"corporation":false,"usgs":false,"family":"Hatcher","given":"H. R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":836402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lashley, M. A.","contributorId":265336,"corporation":false,"usgs":false,"family":"Lashley","given":"M. A.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":836403,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227050,"text":"70227050 - 2021 - Demographic rate variability of Bighead and Silver Carps along an invasion gradient","interactions":[],"lastModifiedDate":"2021-12-28T15:04:26.047659","indexId":"70227050","displayToPublicDate":"2021-05-25T08:57:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Demographic rate variability of Bighead and Silver Carps along an invasion gradient","docAbstract":"Invasive Bighead Carp Hypophthalmichthys nobilis and Silver Carp H. molitrix have infested and caused largescale ecological and economic damage to the Illinois, Mississippi, and Ohio rivers. We compiled demographic data from 42,995 fish from 23 pools in the Illinois, Mississippi, and Ohio rivers, which universities and management agencies previously collected as part of management, monitoring, and research activities. We used this data set to test whether demographic rates (length–weight relations including body condition, mortality, growth curves, and female maturity curves) varied among subpopulations across a gradient of invasion status. We found that length–weight relations and growth curves varied among subpopulations, whereas maturity curves did not. Our findings demonstrated spatial variability in demographic rates for Bighead and Silver carp across a broad geographic area in relation to invasion status and river conditions. Herein, we provide general subpopulation management options and present different hypotheses to explain the observed spatial variability in demographic rates.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/JFWM-20-070","usgsCitation":"Erickson, R.A., Kallis, J.L., Coulter, A.A., Coulter, D.P., MacNamara, R., Lamer, J.T., Bouska, W.W., Irons, K.S., Solomon, L.E., Stump, A.J., Weber, M.J., Brey, M.K., Sullivan, C., Sass, G.G., Garvey, J.E., and Glover, D.C., 2021, Demographic rate variability of Bighead and Silver Carps along an invasion gradient: Fisheries Research, v. 12, no. 2, p. 338-353, https://doi.org/10.3996/JFWM-20-070.","productDescription":"16 p.","startPage":"338","endPage":"353","ipdsId":"IP-103929","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":452139,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-20-070","text":"Publisher Index Page"},{"id":436341,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q6SUML","text":"USGS data release","linkHelpText":"Demographic variability of two invasive species along an invasion gradient: Bighead and silver carps in the Illinois, Ohio, and Mississippi rivers, USA Software Release"},{"id":436340,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IAOZ8G","text":"USGS data release","linkHelpText":"Bighead and silver carp individual fish data from the Mississippi, Ohio, and Illinois rivers from 1997 to 2018"},{"id":436339,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ABPDIR","text":"USGS data release","linkHelpText":"Carp Demographic Rates"},{"id":393501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Kentucky, West Virginia","otherGeospatial":"Illinois River, Mississippi River, Ohio River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.845703125,\n 36.56260003738545\n ],\n [\n -80.88134765625,\n 36.56260003738545\n ],\n [\n -80.88134765625,\n 42.374778361114195\n ],\n [\n -91.845703125,\n 42.374778361114195\n ],\n [\n -91.845703125,\n 36.56260003738545\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":829378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kallis, Jahn L.","contributorId":205603,"corporation":false,"usgs":false,"family":"Kallis","given":"Jahn","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":829379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coulter, Alison A.","contributorId":90992,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","email":"","middleInitial":"A.","affiliations":[{"id":26877,"text":"Southern Illinois University, Carbondale, IL","active":true,"usgs":false},{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":829380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coulter, David P.","contributorId":205629,"corporation":false,"usgs":false,"family":"Coulter","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":829381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacNamara, Ruairi","contributorId":270484,"corporation":false,"usgs":false,"family":"MacNamara","given":"Ruairi","email":"","affiliations":[{"id":13660,"text":"Hubbs-Sea World Research Institute","active":true,"usgs":false}],"preferred":false,"id":829382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamer, James T. 0000-0003-1155-1548","orcid":"https://orcid.org/0000-0003-1155-1548","contributorId":196307,"corporation":false,"usgs":false,"family":"Lamer","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":48847,"text":"Illinois River Biological Station, Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":829383,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bouska, Wesley W.","contributorId":143724,"corporation":false,"usgs":false,"family":"Bouska","given":"Wesley","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":829384,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Irons, Kevin S.","contributorId":270485,"corporation":false,"usgs":false,"family":"Irons","given":"Kevin","email":"","middleInitial":"S.","affiliations":[{"id":33955,"text":"Illinois Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":829385,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Solomon, Levi E.","contributorId":194776,"corporation":false,"usgs":false,"family":"Solomon","given":"Levi","middleInitial":"E.","affiliations":[],"preferred":false,"id":829386,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stump, Andrew J.","contributorId":270486,"corporation":false,"usgs":false,"family":"Stump","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":53972,"text":"Kentucky Department of Fish and Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":829387,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weber, Michael J. 0000-0003-0430-3087","orcid":"https://orcid.org/0000-0003-0430-3087","contributorId":210835,"corporation":false,"usgs":false,"family":"Weber","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":829388,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":829389,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sullivan, Christopher J.","contributorId":265442,"corporation":false,"usgs":false,"family":"Sullivan","given":"Christopher J.","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":829390,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sass, Greg G.","contributorId":207135,"corporation":false,"usgs":false,"family":"Sass","given":"Greg","email":"","middleInitial":"G.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":829391,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Garvey, James E.","contributorId":178007,"corporation":false,"usgs":false,"family":"Garvey","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":829392,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Glover, David C.","contributorId":178006,"corporation":false,"usgs":false,"family":"Glover","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":829393,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70230073,"text":"70230073 - 2021 - Onset and evolution of Kilauea’s 2018 flank eruption and summit collapse from continuous gravity","interactions":[],"lastModifiedDate":"2022-03-28T13:19:34.266653","indexId":"70230073","displayToPublicDate":"2021-05-25T08:14:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Onset and evolution of Kīlauea's 2018 flank eruption and summit collapse from continuous gravity","title":"Onset and evolution of Kilauea’s 2018 flank eruption and summit collapse from continuous gravity","docAbstract":"Prior to the 2018 lower East Rift Zone (ERZ) eruption and summit collapse of Kīlauea Volcano, Hawai‘i, continuous gravimeters operated on the vent rims of ongoing eruptions at both the summit and Pu‘u ‘Ō‘ō. These instruments captured the onset of the 2018 lower ERZ eruption and the effects of lava withdrawal from both locales, providing constraints on the timing and style of activity and the physical properties of the lava lakes at both locations. At the summit, combining gravity, lava level, and a three-dimensional model of the vent indicates that the upper ∼200 m of the lava lake had a density of about 1700 kg m−3, slightly greater than estimates from 2011–2015 and possibly indicating a gradual densification over time. At Pu‘u ‘Ō‘ō, gravity and vent geometry were used to model both the density and the rate of crater collapse, which was unknown owing to a lack of visual observations. Results suggest the withdrawal of at least 11×106 m3 of lava over the course of two hours, and a material density of 1800–1900 kg m−3. In addition, gravity data at Pu‘u ‘Ō‘ō captured a transient decrease and increase about an hour prior to crater collapse and that was probably related to a small, short-lived fissure eruption on the west flank of the cone and possibly to dike intrusion beneath Pu‘u ‘Ō‘ō. The fissure was the first event in the subsequent cascade that ultimately led to the extrusion of over 1 km3 of lava from lower ERZ vents, collapse of the summit caldera floor by more than 500 m, and the destruction of over 700 homes and other structures. These results emphasize the importance of continuous gravity in operational monitoring of active volcanoes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2021.117003","usgsCitation":"Poland, M., Carbone, D., and Patrick, M.R., 2021, Onset and evolution of Kilauea’s 2018 flank eruption and summit collapse from continuous gravity: Earth and Planetary Science Letters, v. 567, 117003, 12 p., https://doi.org/10.1016/j.epsl.2021.117003.","productDescription":"117003, 12 p.","ipdsId":"IP-123201","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":452142,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2021.117003","text":"Publisher Index Page"},{"id":436343,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99QB29I","text":"USGS data release","linkHelpText":"Crater geometry data for Puʻuʻōʻō, on Kīlauea Volcano’s East Rift Zone, in May 2018"},{"id":436342,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PP5LX1","text":"USGS data release","linkHelpText":"Continuous gravity data from K?lauea Volcano, Hawai?i"},{"id":397686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.40985107421875,\n 19.158141038187704\n ],\n [\n -154.78912353515625,\n 19.158141038187704\n ],\n [\n -154.78912353515625,\n 19.557202031700292\n ],\n [\n -155.40985107421875,\n 19.557202031700292\n ],\n [\n -155.40985107421875,\n 19.158141038187704\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"567","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":838947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carbone, Daniele","contributorId":124561,"corporation":false,"usgs":false,"family":"Carbone","given":"Daniele","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":838948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":838949,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221158,"text":"70221158 - 2021 - Synthesizing and analyzing long-term monitoring data: A greater sage-grouse case study","interactions":[],"lastModifiedDate":"2021-06-07T11:51:59.056332","indexId":"70221158","displayToPublicDate":"2021-05-25T07:40:54","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Synthesizing and analyzing long-term monitoring data: A greater sage-grouse case study","docAbstract":"Long-term monitoring of natural resources is imperative for increasing the understanding of ecosystem processes, services, and how to manage those ecosystems to maintain or improve function. Challenges with using these data may occur because methods of monitoring changed over time, multiple organizations collect and manage data differently, and monetary resources fluctuate, affecting many aspects of data. Because many species respond to changes in habitat conditions and predator-prey relationships across different spatial scales that span management boundaries, greater efforts for collaborating are essential. We demonstrate the challenges and methods for standardizing greater sage-grouse (Centrocercus urophasianus) long-term monitoring data across the species range in the western United States to inform population modeling needs identified by the Western Association of Fish and Wildlife Agencies. We used automated and repeatable methods of standardizing data via custom open-source software (grsg_lekdb) to improve the scientific integrity of future sage-grouse population assessments within and among states. Data standardization included reconciling uses of different terminology and expunging unusable data, resulting in the removal of 26% of data records due to database insertion errors and modifications to >1 million values to correct formatting and typing errors. Our approaches maximized the inclusion of usable data and identified data that could inform detection probabilities, population trends, and monitoring guidelines. Using sage-grouse databases as an example, we identified the importance of data management and how quality assurance and quality control measures can improve the usefulness of these data for future research needs. Our methods of using informatics and concluding recommendations can support similar endeavors of flora and fauna monitoring programs, whether those efforts are to use existing data or support new monitoring programs.
=
The western pond turtle (WPT) was formerly considered a single species (Actinemys or Emys marmorata) that ranged from southern British Columbia, Canada to Baja California, México. More recently it was divided into a northern and a southern species. WPTs are found primarily in streams that drain into the Pacific Ocean, although scattered populations exist in endorheic drainages of the Great Basin and Mojave deserts. Populations in the Mojave Desert were long thought to be restricted to the Mojave River, but recently another population was documented in Piute Ponds, a terminal wetland complex associated with Amargosa Creek on Edwards Air Force Base. WPT fossils in the Mojave Desert are known from the Miocene to the Pleistocene. Recently, Pleistocene fossils have been found as far into the desert as Salt Springs, just south of Death Valley. The oldest fossil records suggest that WPTs were present in wetlands and drainages of the geological feature known as the Mojave block prior to the uplift of the Sierra Nevada Range about 8 Ma and prior to the ~ 3 Ma uplift of the Transverse Ranges. Archaeological records document use of turtles by Native Americans for food and cultural purposes 1,000 or more years ago at the Cronese Lakes on the lower Mojave River and Oro Grande on the upper river. The first modern publication documenting their presence in the Mojave River was 1861. Museum specimens were collected as early as 1937. These fossil and early literature records support the indigenous status of WPTs to the Mojave River. However, mtDNA-based genetic evidence shows that Mojave River turtles share an identical haplotype with turtles on the California coast. Limited nuclear data show some minor differences. Overdraft of water from the Mojave River for municipal and agricultural uses, urban development, and saltcedar expansion are threats to the continued survival of WPTs in the Mojave River.
A multiweek standardized sampling regime during 2004–2016 in a 60-km reach of the Upper Missouri River assessed reproduction and catch rates for Sturgeon Chub Macrhybopsis gelida and Sicklefin Chub Macrhybopsis meeki. We sampled age-0 Macrhybopsis (primarily Sturgeon Chubs, but potentially including Sicklefin Chubs) all years to indicate successful reproduction, but noted an inverse correlation of catch per unit area (CPUA) with year. There was an inverse correlation for CPUA of age-1+ Sturgeon Chubs with year. There was no correlation for CPUA of age-1+ Sicklefin Chubs with year, but we noted a depression in CPUA during 2010 and 2012. The study reach includes restoration directives for federally endangered Pallid Sturgeon Scaphirhynchus albus, with 245,000 hatchery-origin Pallid Sturgeon (HOPS) stocked since 1998 to supplement the declining wild stock. Pallid Sturgeon longer than 350 mm fork length transition to piscivory and are known to prey on Sturgeon Chubs and Sicklefin Chubs. We examined the hypothesis that mass additions of HOPS to the existing predator community could have population-level effects on the two chub species. Population modeling for the stocked HOPS through time yielded estimates of nearly 1,300 piscivore-sized HOPS in 2004, an increase to 26,000 HOPS in 2012, and decreasing numbers through 2016 (14,500). A negative correlation between HOPS abundance and age-0 Macrhybopsis CPUA had the best support among other candidate variables (discharge, water temperature, catch rates of Sauger Sander canadensis). We found an inverse correlation for CPUA of age-1+ Sturgeon Chubs and estimated HOPS abundance, and there was also evidence of an inverse association between age-1+ Sicklefin Chub CPUA and HOPS in the study area. Results for a 60-km reach of the Upper Missouri River suggest declining CPUA for age-0 Macrhybopsis and Sturgeon Chubs during 2004–2016 and modest recovery of Sicklefin Chubs after 2012. Although causative factors driving CPUA changes through time are not known, correlative analyses suggest that large numbers of HOPS added to the Missouri River predator community potentially influence CPUA of Sturgeon Chubs and Sicklefin Chubs in the study area. Testing this hypothesis will require expanded quantification of chub populations and HOPS numbers through time.
Eruptive column models are powerful tools for investigating the transport of volcanic gas and ash, reconstructing past explosive eruptions, and simulating future hazards. However, the evaluation of these models is challenging as it requires independent estimates of the main model inputs (e.g. mass eruption rate) and outputs (e.g. column height). There exists no database of independently estimated eruption source parameters (ESPs) that is extensive, standardized, maintained, and consensus-based. This paper introduces the Independent Volcanic Eruption Source Parameter Archive (IVESPA, ivespa.co.uk), a community effort endorsed by the International Association of Volcanology and Chemistry of the Earth’s Interior (IAVCEI) Commission on Tephra Hazard Modelling. We compiled data for 134 explosive eruptive events, spanning the 1902-2016 period, with independent estimates of: i) total erupted mass of fall deposits; ii) duration; iii) eruption column height; and iv) atmospheric conditions. Crucially, we distinguish plume top versus umbrella spreading height, and the height of ash versus sulphur dioxide injection. All parameter values provided have been vetted independently by at least two experts. Uncertainties are quantified systematically, including flags to describe the degree of interpretation of the literature required for each estimate. IVESPA also includes a range of additional parameters such as total grain size distribution, eruption style, morphology of the plume (weak versus strong), and mass contribution from pyroclastic density currents, where available. We discuss the future developments and potential applications of IVESPA and make recommendations for reporting ESPs to maximize their usability across different applications. IVESPA covers an unprecedented range of ESPs and can therefore be used to evaluate and develop eruptive column models across a wide range of conditions using a standardized dataset.
Sin Nombre virus (SNV) is a zoonotic virus that is highly pathogenic to humans. The deer mouse, Peromyscus maniculatus, is the primary host of SNV, and SNV prevalence in P. maniculatus is an important indicator of human disease risk. Because the California Channel Islands contain permanent human settlements, receive hundreds of thousands of visitors each year, and can have extremely high densities of P. maniculatus, surveillance for SNV in island P. maniculatus is important for understanding the human risk of zoonotic disease. Despite the importance of surveillance on these heavily utilized islands, SNV prevalence (i.e. the proportion of P. maniculatus that test positive to antibodies to SNV) has not been examined in the last 13–27 years. We present data on 1,610 mice sampled for four consecutive years (2014–2017) on five of the California Channel Islands: East Anacapa, Santa Barbara, Santa Catalina, San Nicolas, and San Clemente. Despite historical data indicating SNV-positive mice on San Clemente and Santa Catalina, we detected no SNV-positive mice on these islands, suggesting very low prevalence or possible loss of SNV. Islands historically free of SNV (East Anacapa, Santa Barbara, and San Nicolas) remained free of SNV, suggesting that rates of pathogen introduction from other islands and/or the mainland are low. Although continued surveillance is warranted to determine whether SNV establishes on these islands, our work helps inform current human disease risk in these locations and suggests that SNV prevalence on these islands is currently very low.
","language":"English","publisher":"Wiley","doi":"10.1111/zph.12855","usgsCitation":"Orrock, J.L., Connolly, B., Guiden, P., Chandler, J.L., Bron, G.M., Drost, C.A., and Garcelon, D.K., 2021, Sin Nombre virus prevalence from 2014–2017 in wild deer mice, Peromyscus maniculatus, on five of the California Channel Islands: Zoonoses and Public Health, v. 68, no. 7, p. 849-853, https://doi.org/10.1111/zph.12855.","productDescription":"5 p.","startPage":"849","endPage":"853","ipdsId":"IP-120303","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":500015,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/sin-nombre-virus-prevalence-from-20142017-in-wild-deer-mice-perom","text":"External Repository"},{"id":387384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.64959716796874,\n 32.784965481461185\n ],\n [\n -118.3282470703125,\n 32.784965481461185\n ],\n [\n -118.3282470703125,\n 33.04320549616557\n ],\n [\n -118.64959716796874,\n 33.04320549616557\n ],\n [\n -118.64959716796874,\n 32.784965481461185\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.60015869140625,\n 33.26624989076275\n ],\n [\n -118.27331542968749,\n 33.26624989076275\n ],\n [\n -118.27331542968749,\n 33.502468829034314\n ],\n [\n -118.60015869140625,\n 33.502468829034314\n ],\n [\n -118.60015869140625,\n 33.26624989076275\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.58892822265626,\n 33.18813395605041\n ],\n [\n -119.42413330078125,\n 33.18813395605041\n ],\n [\n -119.42413330078125,\n 33.30757713015298\n ],\n [\n -119.58892822265626,\n 33.30757713015298\n ],\n [\n -119.58892822265626,\n 33.18813395605041\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.0540313720703,\n 33.45836989641371\n ],\n [\n -119.02313232421874,\n 33.45836989641371\n ],\n [\n -119.02313232421874,\n 33.49101671911273\n ],\n [\n -119.0540313720703,\n 33.49101671911273\n ],\n [\n -119.0540313720703,\n 33.45836989641371\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.44782257080078,\n 34.000873555388495\n ],\n [\n -119.3558120727539,\n 34.000873555388495\n ],\n [\n -119.3558120727539,\n 34.01965669732604\n ],\n [\n -119.44782257080078,\n 34.01965669732604\n ],\n [\n -119.44782257080078,\n 34.000873555388495\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"68","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Orrock, John L.","contributorId":209931,"corporation":false,"usgs":false,"family":"Orrock","given":"John","email":"","middleInitial":"L.","affiliations":[{"id":38031,"text":"Department of Zoology, University of Wisconsin, Madison, WI 53706; jorrock@wisc.edu","active":true,"usgs":false}],"preferred":false,"id":819684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Brian","contributorId":261299,"corporation":false,"usgs":false,"family":"Connolly","given":"Brian","email":"","affiliations":[{"id":52796,"text":"441 Mark Jefferson Science Complex, Biology Department, Eastern Michigan University, Ypsilanti, MI 48197;","active":true,"usgs":false}],"preferred":false,"id":819685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guiden, Peter","contributorId":261300,"corporation":false,"usgs":false,"family":"Guiden","given":"Peter","email":"","affiliations":[{"id":52797,"text":"Northern Illinois University, 429 Montgomery Hall, DeKalb IL 60115","active":true,"usgs":false}],"preferred":false,"id":819686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chandler, Jennifer L.","contributorId":261301,"corporation":false,"usgs":false,"family":"Chandler","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":52798,"text":"250 Natural Resources Rd., Agricultural Engineering Rm 115, Amherst, MA 01003","active":true,"usgs":false}],"preferred":false,"id":819687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bron, Gebbiena M.","contributorId":261302,"corporation":false,"usgs":false,"family":"Bron","given":"Gebbiena","email":"","middleInitial":"M.","affiliations":[{"id":52800,"text":"1630 Linden Drive, Department of Entomology, University of Wisconsin-Madison, Madison, WI, 53706","active":true,"usgs":false}],"preferred":false,"id":819688,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":819689,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garcelon, David K.","contributorId":204012,"corporation":false,"usgs":false,"family":"Garcelon","given":"David","email":"","middleInitial":"K.","affiliations":[{"id":36796,"text":"Institute for Wildlife Studies, Arcata, CA, USA","active":true,"usgs":false}],"preferred":false,"id":819690,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70224643,"text":"70224643 - 2021 - Species mixture effects and climate influence growth, recruitment and mortality in Interior West USA Populus tremuloides-conifer communities","interactions":[],"lastModifiedDate":"2021-10-01T12:42:19.576185","indexId":"70224643","displayToPublicDate":"2021-05-24T07:38:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Species mixture effects and climate influence growth, recruitment and mortality in Interior West USA Populus tremuloides-conifer communities","docAbstract":"Stream ecosystems are complex networks of interacting terrestrial and aquatic drivers. To untangle these ecological networks, efforts evaluating the direct and indirect effects of landscape, climate, and instream predictors on biological condition through time are needed. We used structural equation modeling and leveraged a stream survey program to identify and compare important predictors driving condition of benthic macroinvertebrate and fish assemblages. We used data resampled 14 years apart at 252 locations across Maryland, USA. Sample locations covered a wide range of conditions that varied spatiotemporally. Overall, the relationship directions were consistent between sample periods, but their relative strength varied temporally. For benthic macroinvertebrates, we found that the total effect of natural landscape (e.g., elevation, longitude, latitude, geology) and land use (i.e., forest, development, agriculture) predictors was 1.4 and 1.5 times greater in the late 2010s compared to the 2000s. Moreover, the total effect of water quality (e.g., total nitrogen and conductivity) and habitat (e.g., embeddedness, riffle quality) was 1.2 and 4.8 times lower in the 2010s, respectively. For fish assemblage condition, the total effect of land use-land cover predictors was 2.3 times greater in the 2010s compared to the 2000s, while the total effect of local habitat was 1.4 times lower in the 2010s, respectively. As expected, we found biological assemblages in catchments with more agriculture and urban development were generally comprised of tolerant, generalist species, while assemblages in catchments with greater forest cover had more-specialized, less-tolerant species (e.g., Ephemeroptera, Plecoptera, and Trichoptera taxa, clingers, benthic and lithophilic spawning fishes). Changes in the relative importance of landscape and land-use predictors suggest other correlated, yet unmeasured, proximal factors became more important over time. By untangling these ecological networks, stakeholders can gain a better understanding of the spatiotemporal relationships driving biological condition to implement management practices aimed at improving stream condition.
Impacts of dreissenid mussels (Dreissena spp.) on Great Lakes ecosystems are well documented, and a better understanding of mechanisms that cause variation in dreissenid abundance is needed. An outstanding question is how much dreissenid biomass is consumed by fish predation. A significant difficulty for investigating dreissenid consumption by fish is that dreissenids in stomachs are often a mix of indigestible shell and flesh, which can bias bioenergetics models and estimates of daily ration. Here, we develop an analysis to convert crushed shell and flesh mixtures found in fish diets to dry weight of digestible dreissenid flesh. Quagga Dreissena rostiformis bugensis and zebra Dreissena polymorpha mussels were used in separate dry weight analyses simulating stomach contents ranging from individual mussels to aggregates of each species. A species-specific dry weight relationship was observed when comparing flesh-only dry weight to total dry weight (shell + flesh) for individual dreissenid but not for aggregates. Thus, the model is applicable in providing more precise estimates of dreissenid flesh dry weight in fish diets.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-021-01054-2","usgsCitation":"Keretz, K.R., Kraus, R., and Schmitt, J., 2021, Improved methods for understanding the role of predation on dreissenid population dynamics: Environmental Biology of Fishes, v. 104, p. 629-633, https://doi.org/10.1007/s10641-021-01054-2.","productDescription":"5 p.","startPage":"629","endPage":"633","ipdsId":"IP-116741","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":436352,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P941VMIN","text":"USGS data release","linkHelpText":"Zebra and Quagga Mussel Dry Weight Information; Lake Erie 2014"},{"id":386112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","noUsgsAuthors":false,"publicationDate":"2021-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Keretz, Kevin R. 0000-0002-4808-8350 kkeretz@usgs.gov","orcid":"https://orcid.org/0000-0002-4808-8350","contributorId":5859,"corporation":false,"usgs":true,"family":"Keretz","given":"Kevin","email":"kkeretz@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":816767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":816768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":816769,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70223831,"text":"70223831 - 2021 - Campfire Conversations at the 2020 annual meeting: Insights & lessons learned from “cuss-and-discuss” rather than “chalk-and-talk”","interactions":[],"lastModifiedDate":"2021-09-15T13:29:00.837","indexId":"70223831","displayToPublicDate":"2021-05-24T07:07:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9335,"text":"The Rangelands Journal","active":true,"publicationSubtype":{"id":10}},"title":"Campfire Conversations at the 2020 annual meeting: Insights & lessons learned from “cuss-and-discuss” rather than “chalk-and-talk”","docAbstract":"• The 2020 SRM Annual Meeting piloted “Campfire Conversation,” round-table discussions styled after the World Café approach.
• The event attracted 280 attendees and enabled multidirectional knowledge exchange (i.e., “cuss and discuss”), rather than one-way “chalk-and-talk.” Attendees participated in three 20-minute facilitated round-table discussions around three topics they selected from a menu of 13 timely rangeland issues.
• Change was a common theme for many Campfire Conversations, including social, climatic, ecological, management, and policy changes.
• Participants highlighted a desire for SRM to grow as an organization by enhancing members’ opportunities and resources for multidirectional knowledge exchange among students, scientists, practitioners, and policy-makers; cross-generational mentorship; cross-disciplinary training; diverse ways of knowing; and greater inclusivity and connection to the SRM.
• A post-event analysis of the Campfire Conversation event revealed valuable lessons for organizing successful World Café-style sessions at future SRM meetings, including virtual meetings.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rala.2021.04.003","usgsCitation":"Schulz, T.T., Wilmer, H., Yocum, H.M., Winford, E.M., Peck, D., Monlezun, A.C., Schmalz, H., Klemm, T., Epstein, K., Jansen, V., Kelley, W., Bruegger, R.A., Fick, S., Wolf, J.G., Grace, J., Mann, R.K., and Derner, J.D., 2021, Campfire Conversations at the 2020 annual meeting: Insights & lessons learned from “cuss-and-discuss” rather than “chalk-and-talk”: The Rangelands Journal, v. 43, no. 4, p. 166-172, https://doi.org/10.1016/j.rala.2021.04.003.","productDescription":"7 p.","startPage":"166","endPage":"172","ipdsId":"IP-125237","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":452168,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rala.2021.04.003","text":"Publisher Index Page"},{"id":388989,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schulz, Terri T.","contributorId":265512,"corporation":false,"usgs":false,"family":"Schulz","given":"Terri","email":"","middleInitial":"T.","affiliations":[{"id":54705,"text":"The Nature Conservancy, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":822832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilmer, Hailey","contributorId":245345,"corporation":false,"usgs":false,"family":"Wilmer","given":"Hailey","email":"","affiliations":[],"preferred":false,"id":822833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yocum, Heather M. 0000-0002-3754-4330","orcid":"https://orcid.org/0000-0002-3754-4330","contributorId":265513,"corporation":false,"usgs":false,"family":"Yocum","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":54706,"text":"Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":822834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winford, Eric M.","contributorId":146494,"corporation":false,"usgs":false,"family":"Winford","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":16713,"text":"NPS, Sequoia and Kings Canyon National Parks, Three Rivers, CA","active":true,"usgs":false}],"preferred":false,"id":822835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peck, Dannele","contributorId":202842,"corporation":false,"usgs":false,"family":"Peck","given":"Dannele","affiliations":[],"preferred":false,"id":822836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monlezun, Anna Clare","contributorId":265514,"corporation":false,"usgs":false,"family":"Monlezun","given":"Anna","email":"","middleInitial":"Clare","affiliations":[{"id":54709,"text":"Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":822837,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmalz, Heidi","contributorId":265515,"corporation":false,"usgs":false,"family":"Schmalz","given":"Heidi","email":"","affiliations":[{"id":54710,"text":"The Nature Conservancy, Enterprise, Oregon","active":true,"usgs":false}],"preferred":false,"id":822838,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Klemm, Toni","contributorId":257680,"corporation":false,"usgs":false,"family":"Klemm","given":"Toni","email":"","affiliations":[{"id":52084,"text":"TX A&M","active":true,"usgs":false}],"preferred":false,"id":822839,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Epstein, Kathleen","contributorId":203310,"corporation":false,"usgs":false,"family":"Epstein","given":"Kathleen","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":822840,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jansen, Vincent","contributorId":255112,"corporation":false,"usgs":false,"family":"Jansen","given":"Vincent","email":"","affiliations":[{"id":51438,"text":"Department of Forest, Rangeland, and Fire Sciences, University of Idaho, Moscow, ID 83844, USA","active":true,"usgs":false}],"preferred":false,"id":822841,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kelley, Windy","contributorId":265516,"corporation":false,"usgs":false,"family":"Kelley","given":"Windy","email":"","affiliations":[{"id":54711,"text":"University of Wyoming Extension, Pinedale, WY; l Colorado State University Extension, Grand Junction, CO","active":true,"usgs":false}],"preferred":false,"id":822842,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bruegger, Retta A.","contributorId":260365,"corporation":false,"usgs":false,"family":"Bruegger","given":"Retta","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":822843,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fick, Steven 0000-0002-3548-6966","orcid":"https://orcid.org/0000-0002-3548-6966","contributorId":265517,"corporation":false,"usgs":false,"family":"Fick","given":"Steven","email":"","affiliations":[{"id":54712,"text":"Former US Geological Survey, Southwest Biological Science Center, Moab, UT","active":true,"usgs":false}],"preferred":false,"id":822844,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wolf, Joseph Gazing","contributorId":265518,"corporation":false,"usgs":false,"family":"Wolf","given":"Joseph","email":"","middleInitial":"Gazing","affiliations":[{"id":54713,"text":"School of Life Sciences, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":822845,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Grace, Joshua","contributorId":265519,"corporation":false,"usgs":false,"family":"Grace","given":"Joshua","email":"","affiliations":[{"id":54714,"text":"Arizona State Land Department, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":822846,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Mann, Rebecca K. 0000-0001-6006-2420","orcid":"https://orcid.org/0000-0001-6006-2420","contributorId":223957,"corporation":false,"usgs":true,"family":"Mann","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":822847,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Derner, Justin D.","contributorId":195928,"corporation":false,"usgs":false,"family":"Derner","given":"Justin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":822848,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70228478,"text":"70228478 - 2021 - Environmental conditions associated with occurrences of the threatened Yaqui Catfish in the Yaqui River Basin, Mexico","interactions":[],"lastModifiedDate":"2022-02-14T11:41:43.971818","indexId":"70228478","displayToPublicDate":"2021-05-23T13:22:47","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Environmental conditions associated with occurrences of the threatened Yaqui Catfish in the Yaqui River Basin, Mexico","docAbstract":"The Yaqui Catfish Ictalurus pricei is an understudied species, with limited information available on its ecology, distribution, and local habitat use. Native to the southwestern United States and northwestern Mexico, Yaqui Catfish populations are declining, which has prompted listing of the species as threatened in the United States and as a species of concern in Mexico. Water overallocation, habitat degradation, invasive species introductions, and hybridization with nonnative Channel Catfish I. punctatus have caused the populations in Mexico to decline. The United States population collapsed after years of low recruitment. To better focus conservation efforts as well as define habitat associated with Yaqui Catfish occurrences, we assessed the distribution in the Yaqui River basin of Mexico by using historical data at a landscape scale. Yaqui Catfish were historically found across the watershed among a diversity of environments but were most frequently associated with small, intermittent streams. Basin land cover was dominated by forest, shrubland, and grassland, and Yaqui Catfish generally occurred in stream segments at similar proportions. However, a small number of Yaqui Catfish occurrences were associated with urban and cropland land cover types in proportions greater than the availability of those categories on the landscape. With the species facing declines in the region, this work will help to inform future conservation efforts aimed at securing the Yaqui Catfish, protecting suitable habitat, and better defining its current status in Mexico.
","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10653","usgsCitation":"Hafen, T., Taylor, A., Hendrickson, D., Stewart, D., and Long, J.M., 2021, Environmental conditions associated with occurrences of the threatened Yaqui Catfish in the Yaqui River Basin, Mexico: North American Journal of Fisheries Management, v. 41, no. S1, p. S54-S63, https://doi.org/10.1002/nafm.10653.","productDescription":"10 p.","startPage":"S54","endPage":"S63","ipdsId":"IP-116641","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":452171,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10653","text":"Publisher Index Page"},{"id":395860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Yaqui River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.3154296875,\n 28.97931203672246\n ],\n [\n -106.4794921875,\n 25.64152637306577\n ],\n [\n -103.3154296875,\n 26.07652055985697\n ],\n [\n -101.35986328125,\n 25.443274612305746\n ],\n [\n -103.3154296875,\n 28.97931203672246\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"S1","noUsgsAuthors":false,"publicationDate":"2021-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hafen, T.","contributorId":272271,"corporation":false,"usgs":false,"family":"Hafen","given":"T.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":834387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, A.T.","contributorId":275887,"corporation":false,"usgs":false,"family":"Taylor","given":"A.T.","affiliations":[{"id":54572,"text":"University of Central Oklahoma","active":true,"usgs":false}],"preferred":false,"id":834388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrickson, D.A.","contributorId":275889,"corporation":false,"usgs":false,"family":"Hendrickson","given":"D.A.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":834389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, D.R.","contributorId":269640,"corporation":false,"usgs":false,"family":"Stewart","given":"D.R.","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834515,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221445,"text":"70221445 - 2021 - Comment on ‘New insights on Franciscan Complex geology, architecture, depositional age, and provenance for the western Mt. Tamalpais area, Marin County, California’ by Bero et al. (2020)","interactions":[],"lastModifiedDate":"2022-04-26T11:47:34.621945","indexId":"70221445","displayToPublicDate":"2021-05-23T06:55:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2020,"text":"International Geology Review","active":true,"publicationSubtype":{"id":10}},"title":"Comment on ‘New insights on Franciscan Complex geology, architecture, depositional age, and provenance for the western Mt. Tamalpais area, Marin County, California’ by Bero et al. (2020)","docAbstract":"Serious errors and inconsistencies in the article undermine many of its interpretations to the point that principal conclusions are not valid. Much dependence is placed on the maximum depositional age (Dmax) of sandstone units based on zircon analysis of 10 samples, but calculation of those Dmax values is flawed, and their use confuses maximum with actual depositional ages and makes age distinctions finer than the resolution of the data. Conclusions that are compromised include the concept of a westward/downward-younging tectonostratigraphic stack of accretionary units, comparison of mapped sandstones with other California Coast Ranges sandstones, comparison of timing of events recorded in the map area with regional events, identification of mélange only in a narrow band in the study area, and detrital provenance of some of the sandstone units.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00206814.2021.1923075","usgsCitation":"Graymer, R., Dumitru, T.A., McLaughlin, R., and Wentworth, C.M., 2021, Comment on ‘New insights on Franciscan Complex geology, architecture, depositional age, and provenance for the western Mt. Tamalpais area, Marin County, California’ by Bero et al. (2020): International Geology Review, v. 64, no. 8, p. 1191-1197, https://doi.org/10.1080/00206814.2021.1923075.","productDescription":"7 p.","startPage":"1191","endPage":"1197","ipdsId":"IP-125554","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":452172,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Comment_on_New_insights_on_Franciscan_Complex_geology_architecture_depositional_age_and_provenance_for_the_western_Mt_Tamalpais_area_Marin_County_California_by_Bero_et_al_2020_/14657907","text":"External Repository"},{"id":386521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay area, Mount Tamalpais","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.772216796875,\n 36.81808022778526\n ],\n [\n -121.47583007812501,\n 36.81808022778526\n ],\n [\n -121.47583007812501,\n 38.453588708941375\n ],\n [\n -122.772216796875,\n 38.453588708941375\n ],\n [\n -122.772216796875,\n 36.81808022778526\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Graymer, Russell 0000-0003-4910-5682","orcid":"https://orcid.org/0000-0003-4910-5682","contributorId":207816,"corporation":false,"usgs":true,"family":"Graymer","given":"Russell","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":817728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dumitru, Trevor A. 0000-0001-9928-7627","orcid":"https://orcid.org/0000-0001-9928-7627","contributorId":260323,"corporation":false,"usgs":false,"family":"Dumitru","given":"Trevor","email":"","middleInitial":"A.","affiliations":[{"id":52568,"text":"Jasper Canyon Research, Inc.","active":true,"usgs":false}],"preferred":false,"id":817729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":211450,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":817730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wentworth, Carl M. 0000-0003-2569-569X cwent@usgs.gov","orcid":"https://orcid.org/0000-0003-2569-569X","contributorId":1178,"corporation":false,"usgs":true,"family":"Wentworth","given":"Carl","email":"cwent@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":817731,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70224947,"text":"70224947 - 2021 - Range-wide declines of northern spotted owl populations in the Pacific Northwest: A meta-analysis","interactions":[],"lastModifiedDate":"2025-05-21T14:41:11.086167","indexId":"70224947","displayToPublicDate":"2021-05-23T06:02:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9374,"text":"Biological Conservation,","active":true,"publicationSubtype":{"id":10}},"title":"Range-wide declines of northern spotted owl populations in the Pacific Northwest: A meta-analysis","docAbstract":"The northern spotted owl (Strix occidentalis caurina) inhabits older coniferous forests in the Pacific Northwest and has been at the center of forest management issues in this region. The immediate threats to this federally listed species include habitat loss and competition with barred owls (Strix varia), which invaded from eastern North America. We conducted a prospective meta-analysis to assess population trends and factors affecting those trends in northern spotted owls using 26 years of survey and capture-recapture data from 11 study areas across the owls' geographic range to analyze demographic traits, rates of population change, and occupancy parameters for spotted owl territories. We found that northern spotted owl populations experienced significant declines of 6–9% annually on 6 study areas and 2–5% annually on 5 other study areas. Annual declines translated to ≤35% of the populations remaining on 7 study areas since 1995. Barred owl presence on spotted owl territories was the primary factor negatively affecting apparent survival, recruitment, and ultimately, rates of population change. Analysis of spotted and barred owl detections in an occupancy framework corroborated the capture-recapture analyses with barred owl presence increasing territorial extinction and decreasing territorial colonization of spotted owls. While landscape habitat components reduced the effect of barred owls on these rates of decline, they did not reverse the negative trend. Our analyses indicated that northern spotted owl populations potentially face extirpation if the negative effects of barred owls are not ameliorated while maintaining northern spotted owl habitat across their range.
The Sac and Fox Tribe of the Mississippi in Iowa is the only federally recognized Tribe in the State of Iowa and is commonly known as the Meskwaki Nation. The Tribe owns more than 8,100 acres, referred to as the “Meskwaki Settlement.” The Meskwaki Settlement uses a well field that withdraws water from the Iowa River alluvial aquifer (IRAA) to supply drinking water to members of the Tribe. Increased severity and timing of flooding and drought conditions, coupled with water-quality concerns in the Iowa River, have prompted the Meskwaki Nation to start identifying tools to provide a better understanding of how extreme climate events (changes in streamflow, flood frequency, and magnitude and persistence of drought conditions), increasing water-supply demands, and groundwater storage depletion will affect water availability in the IRAA.
From June 2017 through September 2020, the U.S. Geological Survey, in cooperation with the Meskwaki Nation, collected continuous and discrete groundwater level data from 11 wells in a U.S. Geological Survey monitoring-well network. Groundwater level data collected at these wells were assessed with daily precipitation data and compared to changes in stream level elevations and daily groundwater withdrawals to determine how these changes affect groundwater-table elevations. Results from this study could be used to guide the development of a conceptual model for groundwater flow and a groundwater flow model for the IRAA to quantify and forecast the effect of groundwater withdrawals, Iowa River streamflow, and local precipitation on the water table in the IRAA.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211019","collaboration":"Prepared in cooperation with the Sac and Fox Tribe of the Mississippi in Iowa","usgsCitation":"Gruhn, L.R., and Haj, A.E., 2021, Effect of groundwater withdrawals, river stage, and precipitation on water-table elevations in the Iowa River alluvial aquifer near Tama, Iowa, 2017–20: U.S. Geological Survey Open-File Report 2021–1019, 11 p., https://doi.org/10.3133/ofr20211019.","productDescription":"Report: vi, 11 p.; Data Release; Dataset","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-124518","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":385788,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1019/images"},{"id":385789,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1019/ofr20211019.XML"},{"id":385680,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1019/coverthb.jpg"},{"id":385681,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1019/ofr20211019.pdf","text":"Report","size":"2.92 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1019"},{"id":385682,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"— USGS water data for the Nation"},{"id":385683,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P912FO3L","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geospatial datasets for the flood-inundation study for the Iowa River at the Meskwaki Settlement in Iowa, 2019"}],"country":"United States","state":"Iowa","county":"Tama County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-92.2996,42.2975],[-92.2992,42.2098],[-92.2989,42.1226],[-92.2991,42.0354],[-92.2977,41.9786],[-92.2994,41.95],[-92.299,41.8623],[-92.418,41.8625],[-92.5357,41.8621],[-92.6522,41.862],[-92.7674,41.8618],[-92.7671,41.9494],[-92.7662,42.0348],[-92.7672,42.1234],[-92.7687,42.2101],[-92.7697,42.2964],[-92.6531,42.2971],[-92.5353,42.2972],[-92.418,42.2976],[-92.2996,42.2975]]]},\"properties\":{\"name\":\"Tama\",\"state\":\"IA\"}}]}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
400 South Clinton Street, Suite 269
Iowa City, IA 52240