Management actions aimed at eradicating exotic fish species from riverine ecosystems can be better informed by forecasting abilities of mechanistic models. We illustrate this point with an example of the Logan River, Utah, originally populated with endemic cutthroat trout (Oncorhynchus clarkii utah), which compete with exotic brown trout (Salmo trutta). The coexistence equilibrium was disrupted by a large scale, experimental removal of the exotic species in 2009–2011 (on average, 8.2% of the stock each year), followed by an increase in the density of the native species. We built a spatially-explicit, reaction-diffusion model encompassing four key processes: population growth in heterogeneous habitat, competition, dispersal, and a management action. We calibrated the model with detailed long-term monitoring data (2001–2016) collected along the 35.4-km long river main channel. Our model, although simple, did a remarkable job reproducing the system steady state prior to the management action. Insights gained from the model independent predictions are consistent with available knowledge and indicate that the exotic species is more competitive; however, the native species still occupies more favorable habitat upstream. Dynamic runs of the model also recreated the observed increase of the native species following the management action. The model can simulate two possible distinct long-term outcomes: recovery or eradication of the exotic species. The processing of available knowledge using Bayesian methods allowed us to conclude that the chance for eradication of the invader was low at the beginning of the experimental removal (0.7% in 2009) and increased (20.5% in 2016) by using more recent monitoring data. We show that accessible mathematical and numerical tools can provide highly informative insights for managers (e.g., outcome of their conservation actions), identify knowledge gaps, and provide testable theory for researchers.
The hydrogeologic setting and groundwater flow system in Florida and parts of Georgia, Alabama, and South Carolina is dominated by the highly transmissive Floridan aquifer system. This principal aquifer is a vital source of freshwater for public and domestic supply, as well as for industrial and agricultural uses throughout the southeastern United States. Population growth, increased tourism, and increased agricultural production have led to increased demand on groundwater from the Floridan aquifer system, particularly since 1950. The response of the Floridan aquifer system to these stresses often poses regional challenges for water-resource management that commonly transcend political or jurisdictional boundaries. To help water-resource managers address these regional challenges, the U.S. Geological Survey (USGS) Water Availability and Use Science Program began assessing groundwater availability of the Floridan aquifer system in 2009.
The current conceptual groundwater flow system was developed for the Floridan aquifer system and adjacent systems partly on the basis of previously published USGS Regional Aquifer-System Analysis (RASA) studies, specifically many of the potentiometric maps and the modeling efforts in these studies. The Floridan aquifer system extent was divided into eight hydrogeologically distinct subregional groundwater basins delineated on the basis of the estimated predevelopment (circa 1880s) potentiometric surface: (1) Panhandle, (2) Dougherty Plain-Apalachicola, (3) Thomasville-Tallahassee, (4) Southeast Georgia-Northeast Florida-South South Carolina, (5) Suwannee, (6) West-central Florida, (7) East-central Florida, and (8) South Florida. The use of these subregions allows for a more detailed analysis of the individual basins and the groundwater flow system as a whole.
The hydrologic conditions and associated groundwater budget were updated relative to previous RASA studies to include additional data collected since the 1980s and to reflect the entire groundwater flow system, including the surficial, intermediate, and Floridan aquifer systems for a contemporary period (1995–2010). Inflow to the groundwater flow system of 33,700 million gallons per day (Mgal/d) was assumed to be exclusively from net recharge (precipitation minus evapotranspiration and surface runoff). Outflow from the groundwater flow system included spring discharge (7,700 Mgal/d) and groundwater withdrawals (5,200 Mgal/d). Estimates for all components of the groundwater system were not possible because of large uncertainties associated with internal leakage, coastal discharge, and discharge to streams and lakes. A numerical modeling analysis is required to improve this hydrologic budget calculation and to forecast future changes in groundwater levels and aquifer storage caused by groundwater withdrawals, land-use change, and the effects of climate variability and change.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185030","collaboration":"Water Availability and Use Science Program","usgsCitation":"Bellino, J.C., Kuniansky, E.L., O’Reilly, A.M., and Dixon, J.F., 2018, Hydrogeologic setting, conceptual groundwater flow system, and hydrologic conditions 1995–2010 in Florida and parts of Georgia, Alabama, and South Carolina: U.S. Geological Survey Scientific Investigations Report 2018–5030, 103 p., https://doi.org/10.3133/sir20185030.","productDescription":"Report: viii, 103 p.; Plate: 36.0 x 49.0 inches; Data Releases","numberOfPages":"115","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056534","costCenters":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"links":[{"id":353934,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2018/5030/sir20185030_plate.pdf","text":"Plate 1","size":"3.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5030 Plate 1"},{"id":353936,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CJ8BMS","text":"USGS data release","description":"USGS Data Release","linkHelpText":" Soil-Water-Balance model datasets used to estimate mean groundwater recharge in Florida and parts of Georgia, Alabama, and South Carolina, 1995–2010"},{"id":353933,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5030/sir20185030.pdf","text":"Report","size":"46.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5030"},{"id":353932,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5030/coverthb2.jpg"},{"id":353937,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75Q4TZD","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Potentiometric Surface Contours, Wells, and Groundwater Basin Divides for the Upper Floridan Aquifer in Florida and Parts of Georgia, South Carolina, and Alabama, May–June 2010—Updated"},{"id":353935,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78K7749","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Groundwater Withdrawals in Florida and parts of Georgia, Alabama, and South Carolina, 1995–2010"}],"country":"United States","state":"Alabama, Florida, Georgia, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.17626953125,\n 24.467150664739002\n ],\n [\n -79.6728515625,\n 24.467150664739002\n ],\n [\n -79.6728515625,\n 32.85190345738802\n ],\n [\n -88.17626953125,\n 32.85190345738802\n ],\n [\n -88.17626953125,\n 24.467150664739002\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane
Lutz, FL 33559
Maintaining intraspecific diversity is an important goal for fisheries conservation and recovery actions. While ecomorphological studies have demonstrated intraspecific diversity related to feeding or flow regime, there has been little assessment of such variation in regard to spawning habitat. We evaluated the relationship between individual morphology of Robust Redhorse and Notchlip Redhorse and variables describing the spawning habitat from which they were captured, such as current velocity, depth, and substrate particle size. Robust Redhorse (n = 58) and Notchlip Redhorse (n = 43) were captured from spawning aggregations in the lower Savannah River, South Carolina-Georgia using prepositioned grid electrofishers. They were then measured and photographed before being released. We constructed a truss network using digitized landmarks on each of the photographs. Relationships between the morphological and environmental datasets were assessed using canonical correlation analysis. In both species, these morphological predictors were correlated primarily to depth, though current velocity also contributed to the environmental canonical score for Robust Redhorse. Robust Redhorse captured from the deeper locations with higher current velocities had heads with lower aspect ratio compared to individuals captured from shallower areas. Notchlip Redhorse from shallower areas were deeper-bodied and had shorter trunks than counterparts from deeper areas. These differences suggest that ensuring spawning habitat heterogeneity may be an important component to conserving intraspecific diversity, particularly in systems where such habitat is limiting.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-018-0772-9","usgsCitation":"Grabowski, T.B., Pease, J.E., and Groeschel, J.R., 2018, Intraspecific differences in morphology correspond to differential spawning habitat use in two riverine catostomid species: Environmental Biology of Fishes, v. 101, no. 8, p. 1249-1260, https://doi.org/10.1007/s10641-018-0772-9.","productDescription":"12 p.","startPage":"1249","endPage":"1260","ipdsId":"IP-089415","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":356615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Savannah River","volume":"101","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-04","publicationStatus":"PW","scienceBaseUri":"5b98a2c6e4b0702d0e842fe8","contributors":{"authors":[{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":742845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pease, Jessica E.","contributorId":201491,"corporation":false,"usgs":false,"family":"Pease","given":"Jessica","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":743046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groeschel, Jillian R.","contributorId":172958,"corporation":false,"usgs":false,"family":"Groeschel","given":"Jillian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":743047,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198081,"text":"70198081 - 2018 - A tale of two wildfires; testing detection and prediction of invasive species distributions using models fit with topographic and spectral indices","interactions":[],"lastModifiedDate":"2018-07-16T11:25:35","indexId":"70198081","displayToPublicDate":"2018-05-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A tale of two wildfires; testing detection and prediction of invasive species distributions using models fit with topographic and spectral indices","docAbstract":"Context
Developing species distribution models (SDMs) to detect invasive species cover and evaluate habitat suitability are high priorities for land managers.
Objectives
We tested SDMs fit with different variable combinations to provide guidelines for future invasive species model development based on transferability between landscapes.
Methods
Generalized linear model, boosted regression trees, multivariate adaptive regression splines, and Random Forests were fit with location data for high cheatgrass (Bromus tectorum) cover in situ for two post-burn sites independently using topographic indices, spectral indices derived from multiple dates of Landsat 8 satellite imagery, or both. Models developed for one site were applied to the other, using independent cheatgrass cover data from the respective ex situ site to test model transferability.
Results
Fitted models were statistically robust and comparable when fit with at least 200 cover plots in situ and transferred to the ex situ site. Only the Random Forests models were robust when fit with a small number of cover plots in situ.
Conclusions
Our study indicated spectral indices can be used in SDMs to estimate species cover across landscapes (e.g., both within the same Landsat scene and in an adjacent Landsat scene). Important considerations for transferability include the model employed, quantity of cover data used to train/test the models, and phenology of the species coupled with the timing of imagery. The results also suggest that when cover data are limited, SDMs fit with topographic indices are sufficient for evaluating cheatgrass habitat suitability in new post-disturbance landscapes; however, spectral indices can provide a more robust estimate for detection based on local phenology.
Wetlands in the Prairie Pothole Region (PPR) of North America support macroinvertebrate communities that are integral to local food webs and important to breeding waterfowl. Macroinvertebrates in PPR wetlands are primarily generalists and well adapted to within and among year changes in water permanence and salinity. The Williston Basin, a major source of U.S. energy production, underlies the southwest portion of the PPR. Development of oil and gas results in the coproduction of large volumes of highly saline, sodium chloride dominated water (brine) and the introduction of brine can alter wetland salinity. To assess potential effects of brine contamination on macroinvertebrate communities, 155 PPR wetlands spanning a range of hydroperiods and salinities were sampled between 2014 and 2016. Brine contamination was documented in 34 wetlands with contaminated wetlands having significantly higher chloride concentrations, specific conductance and percent dominant taxa, and significantly lower taxonomic richness, Shannon diversity, and Pielou evenness scores compared to uncontaminated wetlands. Non-metric multidimensional scaling found significant correlations between several water quality parameters and macroinvertebrate communities. Chloride concentration and specific conductance, which can be elevated in naturally saline wetlands, but are also associated with brine contamination, had the strongest correlations. Five wetland groups were identified from cluster analysis with many of the highly contaminated wetlands located in a single cluster. Low or moderately contaminated wetlands were distributed among the remaining clusters and had macroinvertebrate communities similar to uncontaminated wetlands. While aggregate changes in macroinvertebrate community structure were observed with brine contamination, systematic changes were not evident, likely due to the strong and potentially confounding influence of hydroperiod and natural salinity. Therefore, despite the observed negative response of macroinvertebrate communities to brine contamination, macroinvertebrate community structure alone is likely not the most sensitive indicator of brine contamination in PPR wetlands.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2018.04.088","usgsCitation":"Preston, T.M., Borgreen, M.J., and Ray, A.M., 2018, Effects of brine contamination from energy development on wetland macroinvertebrate community structure in the Prairie Pothole Region: Environmental Pollution, v. 239, p. 722-732, https://doi.org/10.1016/j.envpol.2018.04.088.","productDescription":"11 p.","startPage":"722","endPage":"732","ipdsId":"IP-093113","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":437922,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DB8141","text":"USGS data release","linkHelpText":"Macroinvertebrate and water quality data from the Prairie Pothole Region of the Williston Basin (2014-2016)"},{"id":353964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","otherGeospatial":"Williston Basin","volume":"239","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6c3e4b0da30c1bfbde2","contributors":{"authors":[{"text":"Preston, Todd M. 0000-0002-8812-9233","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":204676,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":734648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borgreen, Michael J. 0000-0002-5879-6414","orcid":"https://orcid.org/0000-0002-5879-6414","contributorId":204677,"corporation":false,"usgs":false,"family":"Borgreen","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":734649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":734650,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196175,"text":"fs20183014 - 2018 - Assessment of undiscovered continuous oil and gas resources of Upper Cretaceous Shales in the Songliao Basin of China, 2017","interactions":[],"lastModifiedDate":"2018-05-03T13:56:59","indexId":"fs20183014","displayToPublicDate":"2018-05-03T12:40:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3014","title":"Assessment of undiscovered continuous oil and gas resources of Upper Cretaceous Shales in the Songliao Basin of China, 2017","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable resources of 3.3 billion barrels of oil and 887 billion cubic feet of gas in shale reservoirs of the Upper Cretaceous Qingshankou and Nenjiang Formations in the Songliao Basin of northeastern China.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183014","usgsCitation":"Potter, C.J., Schenk, C.J., Pitman, J.K., Klett, T.R., Tennyson, M.E., Gaswirth, S.B., Leathers-Miller, H.M., Finn, T.M., Brownfield, M.E., Mercier, T.J., Marra, K.R., and Woodall, C.A., 2018, Assessment of undiscovered continuous oil and gas resources of Upper Cretaceous Shales in the Songliao Basin of China, 2017: U.S. Geological Survey Fact Sheet 2018–3014, 2 p., https://doi.org/10.3133/fs20183014.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-092276","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":353925,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3014/fs20183014.pdf","text":"Report","size":"1.24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3014"},{"id":353924,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3014/coverthb.jpg"}],"country":"China","otherGeospatial":"Songliao Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 120,\n 42.5\n ],\n [\n 128,\n 42.5\n ],\n [\n 128,\n 50\n ],\n [\n 120,\n 50\n ],\n [\n 120,\n 42.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
In situ soil moisture datasets are important inputs used to calibrate and validate watershed, regional, or statewide modeled and satellite-based soil moisture estimates. The soil moisture dataset presented in this report includes hourly time series of the following: soil temperature, volumetric water content, water potential, and total soil water content. Data were collected by the U.S. Geological Survey at five locations in California: three sites in the central Sierra Nevada and two sites in the northern Coast Ranges. This report provides a description of each of the study areas, procedures and equipment used, processing steps, and time series data from each site in the form of comma-separated values (.csv) tables.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1083","collaboration":"Prepared in cooperation with the California Department of Water Resources, National Park Service, and Pepperwood Preserve","usgsCitation":"Stern, M.A., Anderson, F.A., Flint, L.E., and Flint, A.L., 2018, Soil moisture datasets at five sites in the central Sierra Nevada and northern Coast Ranges, California: U.S. Geological Survey Data Series 1083, 23 p., https://doi.org/10.3133/ds1083.","productDescription":"Report: viii, 23 p.; 5 Tables","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-080152","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":353696,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1083/coverthb.jpg"},{"id":353697,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1083/ds1083_.pdf","text":"Report","size":"6.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Data Series 1083"},{"id":353698,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/1083/ds1083_tables12-15_17.zip","text":"Tables 12, 13, 14, 15, and 17","size":"5.3 MB","linkFileType":{"id":6,"text":"zip"},"description":"Data Series 1083 table files"}],"country":"United States","state":"California","otherGeospatial":"Central Sierra Nevada Range, Northern Coast Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.83612060546874,\n 37.73379707124429\n ],\n [\n -119.20852661132812,\n 37.73379707124429\n ],\n [\n -119.20852661132812,\n 37.965854128749434\n ],\n [\n -119.83612060546874,\n 37.965854128749434\n ],\n [\n -119.83612060546874,\n 37.73379707124429\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.6963424682617,\n 38.56887107621966\n ],\n [\n -122.68930435180664,\n 38.56887107621966\n ],\n [\n -122.68930435180664,\n 38.57256189519067\n ],\n [\n -122.6963424682617,\n 38.57256189519067\n ],\n [\n -122.6963424682617,\n 38.56887107621966\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, CA 95819
Many species have distributions that span distinctly different physiographic regions, and effective conservation of such taxa will require a full accounting of all factors that potentially influence populations. Ecologists recognize effects of physiographic differences in topography, geology and climate on local habitat configurations, and thus the relevance of landscape heterogeneity to species distributions and abundances. However, research is lacking that examines how physiography affects the processes underlying metapopulation dynamics. We used data describing occupancy dynamics of stream fishes to evaluate evidence that physiography influences rates at which individual taxa persist in or colonize stream reaches under different flow conditions. Using periodic survey data from a stream fish assemblage in a large river basin that encompasses multiple physiographic regions, we fit multi-species dynamic occupancy models. Our modeling results suggested that stream fish colonization but not persistence was strongly governed by physiography, with estimated colonization rates considerably higher in Coastal Plain streams than in Piedmont and Blue Ridge systems. Like colonization, persistence was positively related to an index of stream flow magnitude, but the relationship between flow and persistence did not depend on physiography. Understanding the relative importance of colonization and persistence, and how one or both processes may change across the landscape, is critical information for the conservation of broadly distributed taxa, and conservation strategies explicitly accounting for spatial variation in these processes are likely to be more successful for such taxa.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.04.023","usgsCitation":"Wheeler, K., Wenger, S., Walsh, S.J., Martin, Z.P., Jelks, H.L., and Freeman, M., 2018, Stream fish colonization but not persistence varies regionally across a large North American river basin: Biological Conservation, v. 223, p. 1-10, https://doi.org/10.1016/j.biocon.2018.04.023.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-091967","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":460780,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2018.04.023","text":"Publisher Index Page"},{"id":353928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia","otherGeospatial":"Apalachicola-Chattahoochee-Flint River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.792236328125,\n 30.65681556429287\n ],\n [\n -83.38623046875,\n 30.65681556429287\n ],\n [\n -83.38623046875,\n 34.939985151560435\n ],\n [\n -85.792236328125,\n 34.939985151560435\n ],\n [\n -85.792236328125,\n 30.65681556429287\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"223","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6c3e4b0da30c1bfbde4","contributors":{"authors":[{"text":"Wheeler, Kit","contributorId":203872,"corporation":false,"usgs":false,"family":"Wheeler","given":"Kit","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":734573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":734574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Stephen J. 0000-0002-1009-8537 swalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-1009-8537","contributorId":1456,"corporation":false,"usgs":true,"family":"Walsh","given":"Stephen","email":"swalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":734577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Zachary P. 0000-0001-5779-3548 zmartin@usgs.gov","orcid":"https://orcid.org/0000-0001-5779-3548","contributorId":204653,"corporation":false,"usgs":false,"family":"Martin","given":"Zachary","email":"zmartin@usgs.gov","middleInitial":"P.","affiliations":[{"id":36970,"text":"Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":734576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":168997,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":734575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":734572,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199868,"text":"70199868 - 2018 - Quarterly wildlife mortality report April 2018","interactions":[],"lastModifiedDate":"2023-10-13T14:02:15.390626","indexId":"70199868","displayToPublicDate":"2018-05-02T15:37:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3769,"text":"Wildlife Disease Association Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Quarterly wildlife mortality report April 2018","docAbstract":"No abstract available.
","language":"English","publisher":"Wildlife Disease Association","usgsCitation":"Richards, B.J., Bodenstein, B., Ballmann, A., and White, C.L., 2018, Quarterly wildlife mortality report April 2018: Wildlife Disease Association Newsletter, p. 19-21.","productDescription":"3 p.","startPage":"19","endPage":"21","ipdsId":"IP-096493","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":357994,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357989,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.wildlifedisease.org/PersonifyEbusiness/Resources/Publications/Newsletter/Archive"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02ff8e4b0fc368eb539b2","contributors":{"authors":[{"text":"Richards, Bryan J. 0000-0001-9955-2523 brichards@usgs.gov","orcid":"https://orcid.org/0000-0001-9955-2523","contributorId":3533,"corporation":false,"usgs":true,"family":"Richards","given":"Bryan","email":"brichards@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":746987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodenstein, Barbara L. 0000-0001-7946-0103 bbodenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":189820,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barbara","email":"bbodenstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":746988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":746989,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":746990,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227908,"text":"70227908 - 2018 - Characteristics of successful volunteer-led urban forest tree committees in Massachusetts","interactions":[],"lastModifiedDate":"2022-02-02T20:05:47.075662","indexId":"70227908","displayToPublicDate":"2018-05-02T13:52:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10078,"text":"Urban Forestry & Urban Greening","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics of successful volunteer-led urban forest tree committees in Massachusetts","docAbstract":"Citizen engagement through urban forest tree committee volunteer service may aid in providing essential experience, ideas, and skills that support municipal tree management. Using semi-structured, research interviews with tree committee (TC) representatives from across the Commonwealth of Massachusetts, this study addresses current knowledge gaps concerning the general composition, processes, and relationships of volunteer-led urban forest tree committees. Our findings indicate that TC representatives are typically motivated, passionate volunteers who generally desire to work cooperatively with the many associations, organizations, and agencies that comprise the local socio-political landscape. Our findings also indicate it is important that TC representatives make a sustained, concerted effort to work collaboratively with their local tree warden to advance the care of their community’s urban trees. Furthermore, it is also essential that municipal managers and decision-makers attempt to provide TC volunteers with appropriate training opportunities, resources, as well as demonstrate appreciation, to further encourage and solidify volunteer-engagement in urban forestry at the local level.
","language":"English","doi":"10.1016/j.ufug.2018.07.006","usgsCitation":"Harper, R.W., Huff, E.S., Bloniarz, D.V., Destefano, S., and Craig R. Nicolson, 2018, Characteristics of successful volunteer-led urban forest tree committees in Massachusetts: Urban Forestry & Urban Greening, v. 34, p. 311-317, https://doi.org/10.1016/j.ufug.2018.07.006.","productDescription":"7 p.","startPage":"311","endPage":"317","ipdsId":"IP-094571","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","volume":"34","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harper, Richard W.","contributorId":273082,"corporation":false,"usgs":false,"family":"Harper","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huff, Emily S.","contributorId":273083,"corporation":false,"usgs":false,"family":"Huff","given":"Emily","email":"","middleInitial":"S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":832562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloniarz, David V.","contributorId":273084,"corporation":false,"usgs":false,"family":"Bloniarz","given":"David","email":"","middleInitial":"V.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Destefano, Stephen 0000-0003-2472-8373","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":272197,"corporation":false,"usgs":true,"family":"Destefano","given":"Stephen","email":"","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Craig R. Nicolson","contributorId":273085,"corporation":false,"usgs":false,"family":"Craig R. Nicolson","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832564,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202867,"text":"70202867 - 2018 - Book review: Darwin's first theory: Exploring Darwin's quest for a theory of earth","interactions":[],"lastModifiedDate":"2019-04-03T13:39:06","indexId":"70202867","displayToPublicDate":"2018-05-02T13:24:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Darwin's first theory: Exploring Darwin's quest for a theory of earth","docAbstract":"No abstract available.
","language":"English","publisher":"The Society of Exploration Geophysicists","publisherLocation":"Tulsa, OK","doi":"10.1190/tle37050388.1","usgsCitation":"Haines, S.S., 2018, Book review: Darwin's first theory: Exploring Darwin's quest for a theory of earth: The Leading Edge, v. 5, p. 389-390, https://doi.org/10.1190/tle37050388.1.","productDescription":"2 p.","startPage":"389","endPage":"390","ipdsId":"IP-092940","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":362656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760339,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192837,"text":"70192837 - 2018 - Comment on \"Next-Generation Ice Core Technology Reveals True Minimum Natural Levels of lead (Pb) in the atmosphere: Insights from the Black Death\" by More et al.","interactions":[],"lastModifiedDate":"2019-03-27T15:13:28","indexId":"70192837","displayToPublicDate":"2018-05-02T10:10:37","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5050,"text":"Geohealth News","active":true,"publicationSubtype":{"id":10}},"title":"Comment on \"Next-Generation Ice Core Technology Reveals True Minimum Natural Levels of lead (Pb) in the atmosphere: Insights from the Black Death\" by More et al.","docAbstract":"Understanding the spatial and temporal variability in life-history traits among populations is essential for the management of recreational fisheries. However, valuable freshwater recreational fish species often suffer from a lack of catch information. In this study, we demonstrated the use of an approach to estimate the spatial and temporal variability in growth and mortality in the absence of catch data and apply the method to riverine smallmouth bass (Micropterus dolomieu) populations in Pennsylvania, USA. Our approach included a growth analysis and a length-based analysis that estimates mortality. Using a hierarchical Bayesian approach, we examined spatial variability in growth and mortality by assuming parameters vary spatially but remain constant over time and temporal variability by assuming parameters vary spatially and temporally. The estimated growth and mortality of smallmouth bass showed substantial variability over time and across rivers. We explored the relationships of the estimated growth and mortality with spring water temperature and spring flow. Growth rate was likely to be positively correlated with these two factors, while young mortality was likely to be positively correlated with spring flow. The spatially and temporally varying growth and mortality suggest that smallmouth bass populations across rivers may respond differently to management plans and disturbance such as environmental contamination and land-use change. The analytical approach can be extended to other freshwater recreational species that also lack of catch data. The approach could also be useful in developing population assessments with erroneous catch data or be used as a model sensitivity scenario to verify traditional models even when catch data are available.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2017-0052","usgsCitation":"Li, Y., Wagner, T., Jiao, Y., Lorantas, R.M., and Murphy, C., 2018, Evaluating spatial and temporal variability in growth and mortality for recreational fisheries with limited catch data: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 9, p. 1436-1452, https://doi.org/10.1139/cjfas-2017-0052.","productDescription":"17 p.","startPage":"1436","endPage":"1452","ipdsId":"IP-084291","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468778,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/99273","text":"External Repository"},{"id":353912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Yan","contributorId":204633,"corporation":false,"usgs":false,"family":"Jiao","given":"Yan","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":734529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorantas, Robert M.","contributorId":204631,"corporation":false,"usgs":false,"family":"Lorantas","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":734527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, Cheryl","contributorId":204632,"corporation":false,"usgs":false,"family":"Murphy","given":"Cheryl","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":734528,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196806,"text":"70196806 - 2018 - Nest mortality of sagebrush songbirds due to a severe hailstorm","interactions":[],"lastModifiedDate":"2018-07-03T11:22:11","indexId":"70196806","displayToPublicDate":"2018-05-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Nest mortality of sagebrush songbirds due to a severe hailstorm","docAbstract":"Demographic assessments of nesting birds typically focus on failures due to nest predation or brood parasitism. Extreme weather events such as hailstorms, however, can also destroy eggs and injure or kill juvenile and adult birds at the nest. We documented the effects of a severe hailstorm on 3 species of sagebrush-associated songbirds: Sage Thrasher (Oreoscoptes montanus), Brewer's Sparrow (Spizella breweri), and Vesper Sparrow (Pooecetes gramineus), nesting at eight 24 ha study plots in central Wyoming, USA. Across all plots, 17% of 128 nests failed due to the hailstorm; however, all failed nests were located at a subset of study plots (n = 3) where the hailstorm was most intense, and 45% of all nests failures on those plots were due to hail. Mortality rates varied by species, nest architecture, and nest placement. Nests with more robust architecture and those sited more deeply under the shrub canopy were more likely to survive the hailstorm, suggesting that natural history traits may modulate mortality risk due to hailstorms. While sporadic in nature, hailstorms may represent a significant source of nest failure to songbirds in certain locations, especially with increasing storm frequency and severity forecasted in some regions with ongoing climate change.
","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/17-025.1","usgsCitation":"Hightower, J.N., Carlisle, J.D., and Chalfoun, A.D., 2018, Nest mortality of sagebrush songbirds due to a severe hailstorm: Wilson Journal of Ornithology, v. 130, no. 2, p. 561-567, https://doi.org/10.1676/17-025.1.","productDescription":"7 p.","startPage":"561","endPage":"567","ipdsId":"IP-084991","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":353911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6c3e4b0da30c1bfbdec","contributors":{"authors":[{"text":"Hightower, Jessica N.","contributorId":204645,"corporation":false,"usgs":false,"family":"Hightower","given":"Jessica","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":734554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Jason D.","contributorId":204646,"corporation":false,"usgs":false,"family":"Carlisle","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":734555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734530,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196809,"text":"70196809 - 2018 - Bioactive contaminants of emerging concern in National Park waters of the northern Colorado Plateau, USA","interactions":[],"lastModifiedDate":"2018-05-02T11:32:49","indexId":"70196809","displayToPublicDate":"2018-05-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Bioactive contaminants of emerging concern in National Park waters of the northern Colorado Plateau, USA","docAbstract":"Pharmaceuticals and personal care products (PPCPs), wastewater indicators (WWIs), and pesticides (herein, Contaminants of Emerging Concern [CECs]) have been documented in surface waters throughout the world and have associated risks to aquatic life. While much research has focused on temperate and urbanized watersheds, less is known about CEC presence in semi-arid landscapes, where water availability is limited and populations are low. CEC presence in water and sediment is reported for 21 sites in eight U.S. national parks in the northern Colorado Plateau region. From 2012 to 2016, at least one PPCP and/or WWI was detected at most sites on over half of sampling visits, indicating that CECs are not uncommon even in isolated areas. CEC detections were generally fewer and at lower concentrations than in urbanized or agricultural watersheds. Consistent with studies from other U.S. regions, the most frequently detected CECs in this study include DEET, caffeine, organophosphorus flame retardants, and bisphenol A in water and fecal indicators and polycyclic aromatic hydrocarbons in sediment. Maximum concentrations in this study were generally below available water quality benchmarks, sediment quality guidelines, and risk assessment thresholds associated with vertebrates. Additional work is needed to assess the potential activity of hormones, which had high reporting limits in our study, and potential bioactivity of environmental concentrations for invertebrates, microbial communities, and algae. Potential sources of CEC contamination include upstream wastewater effluent discharges and National Park Service invasive-plant-control herbicide applications. CEC occurrence patterns and similarities between continuous and isolated flow locations suggest that direct contamination from individual visitors may also occur. While our data indicate there is little aquatic health risk associated with CECs at our sites, our results demonstrate the ubiquity of CECs on the landscape and a continued need for public outreach concerning resource-use ethics and the potential effects of upstream development.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.04.332","usgsCitation":"Weissinger, R.H., Blackwell, B., Keteles, K., Battaglin, W., and Bradley, P.M., 2018, Bioactive contaminants of emerging concern in National Park waters of the northern Colorado Plateau, USA: Science of the Total Environment, v. 636, p. 910-918, https://doi.org/10.1016/j.scitotenv.2018.04.332.","productDescription":"9 p.","startPage":"910","endPage":"918","ipdsId":"IP-095083","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":460929,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6794149","text":"Publisher Index Page"},{"id":437924,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NP23PC","text":"USGS data release","linkHelpText":"Bioactive Contaminants of Emerging Concern in National Park Waters of the Northern Colorado Plateau, USA, 2012-2016"},{"id":353916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.2965087890625,\n 37.17344871200958\n ],\n [\n -108.48999023437499,\n 37.17344871200958\n ],\n [\n -108.48999023437499,\n 40.63479884404164\n ],\n [\n -113.2965087890625,\n 40.63479884404164\n ],\n [\n -113.2965087890625,\n 37.17344871200958\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"636","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6c3e4b0da30c1bfbdea","contributors":{"authors":[{"text":"Weissinger, Rebecca H","contributorId":204637,"corporation":false,"usgs":false,"family":"Weissinger","given":"Rebecca","email":"","middleInitial":"H","affiliations":[{"id":36968,"text":"US National Parks Service","active":true,"usgs":false}],"preferred":false,"id":734538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blackwell, Brett R.","contributorId":173601,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brett R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":734539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keteles, Kristen","contributorId":200072,"corporation":false,"usgs":false,"family":"Keteles","given":"Kristen","email":"","affiliations":[],"preferred":false,"id":734540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battaglin, William A. 0000-0001-7287-7096","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":204638,"corporation":false,"usgs":true,"family":"Battaglin","given":"William A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":204639,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734542,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197444,"text":"70197444 - 2018 - Characterization of Plasmodium relictum, a cosmopolitan agent of avian malaria","interactions":[],"lastModifiedDate":"2018-06-05T10:13:20","indexId":"70197444","displayToPublicDate":"2018-05-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2650,"text":"Malaria Journal","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Characterization of Plasmodium relictum, a cosmopolitan agent of avian malaria","title":"Characterization of Plasmodium relictum, a cosmopolitan agent of avian malaria","docAbstract":"Background
Microscopic research has shown that Plasmodium relictum is the most common agent of avian malaria. Recent molecular studies confirmed this conclusion and identified several mtDNA lineages, suggesting the existence of significant intra-species genetic variation or cryptic speciation. Most identified lineages have a broad range of hosts and geographical distribution. Here, a rare new lineage of P. relictum was reported and information about biological characters of different lineages of this pathogen was reviewed, suggesting issues for future research.
Methods
The new lineage pPHCOL01 was detected in Common chiffchaff Phylloscopus collybita,and the parasite was passaged in domestic canaries Serinus canaria. Organs of infected birds were examined using histology and chromogenic in situ hybridization methods. Culex quinquefasciatus mosquitoes, Zebra finch Taeniopygia guttata, Budgerigar Melopsittacus undulatus and European goldfinch Carduelis carduelis were exposed experimentally. Both Bayesian and Maximum Likelihood analyses identified the same phylogenetic relationships among different, closely-related lineages pSGS1, pGRW4, pGRW11, pLZFUS01, pPHCOL01 of P. relictum. Morphology of their blood stages was compared using fixed and stained blood smears, and biological properties of these parasites were reviewed.
Results
Common canary and European goldfinch were susceptible to the parasite pPHCOL01, and had markedly variable individual prepatent periods and light transient parasitaemia. Exo-erythrocytic and sporogonic stages were not seen. The Zebra finch and Budgerigar were resistant. Neither blood stages nor vector stages of all examined P. relictum lineages can be distinguished morphologically.
Conclusion
Within the huge spectrum of vertebrate hosts, mosquito vectors, and ecological conditions, different lineages of P. relictum exhibit indistinguishable, markedly variable morphological forms. Parasites of same lineages often develop differently in different bird species. Even more, the variation of biological properties (parasitaemia dynamics, blood pathology, prepatent period) in different isolates of the same lineage might be greater than the variation in different lineages during development in the same species of birds, indicating negligible taxonomic value of such features. Available lineage information is excellent for parasite diagnostics, but is limited in predictions about relationships in certain host-parasite associations. A combination of experiments, field observations, microscopic and molecular diagnostics is essential for understanding the role of different P. relictum lineages in bird health.
Thin loess deposits on the uplands of the southeastern Colorado Plateau have previously not been well studied. We sampled deposits and soils from trenches on Hatch Point (HP) mesa near Canyonlands National Park, Utah, and from two outcrops in Mesa Verde National Park, Colorado. At HP, the oldest buried unit yielded 2 optically stimulated luminescence (OSL) ages of 10,370 and 7555 yr; the middle unit yielded 10 OSL ages from 6220 to 1385 yr; and the youngest unit had a single age of 1740 yr. At Mesa Verde (MV), three loess units are preserved in the two outcrops we examined; 6 OSL ages range from 51 to 17 ka. At least one buried soil is present between two units with ages of about 50 and 40 ka. The ages of the loess units in both study areas correspond well with OSL-dated dune sands in Canyonlands National Park and with dune sands on Black Mesa, Arizona. Particle-size distribution combined with chemical and magnetic data indicate that HP loess was derived mostly from nearby sandstone sources with a small component of far-traveled atmospheric dust, whereas MV loess was sourced both from the nearby sandstone and the San Juan River and its tributaries.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2017.63","usgsCitation":"Reheis, M.C., Goldstein, H.L., Reynolds, R.L., Forman, S.L., Mahan, S.A., and Carrara, P.E., 2018, Late Quaternary loess and soils on uplands in the Canyonlands and Mesa Verde areas, Utah and Colorado: Quaternary Research, v. 89, no. 3, p. 718-738, https://doi.org/10.1017/qua.2017.63.","productDescription":"21 p.","startPage":"718","endPage":"738","ipdsId":"IP-084233","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":361358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Canyonlands and Mesa Verde areas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110,\n 36.5\n ],\n [\n -108,\n 36.5\n ],\n [\n -108,\n 39\n ],\n [\n -110,\n 39\n ],\n [\n -110,\n 36.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"89","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Reheis, Marith C. 0000-0002-8359-323X mreheis@usgs.gov","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":138571,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith","email":"mreheis@usgs.gov","middleInitial":"C.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":757584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":147881,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":757585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":147880,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":757586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forman, Steven L. 0000-0002-1385-9194","orcid":"https://orcid.org/0000-0002-1385-9194","contributorId":197758,"corporation":false,"usgs":false,"family":"Forman","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":757587,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":757588,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carrara, Paul E.","contributorId":213370,"corporation":false,"usgs":false,"family":"Carrara","given":"Paul","email":"","middleInitial":"E.","affiliations":[{"id":27856,"text":"USGS-retired","active":true,"usgs":false}],"preferred":false,"id":757589,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199000,"text":"70199000 - 2018 - Plant and microbial biomarkers suggest mechanisms of soil organic carbon accumulation in a Mojave Desert ecosystem under elevated CO2","interactions":[],"lastModifiedDate":"2018-08-30T09:02:23","indexId":"70199000","displayToPublicDate":"2018-05-01T16:00:35","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3416,"text":"Soil Biology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Plant and microbial biomarkers suggest mechanisms of soil organic carbon accumulation in a Mojave Desert ecosystem under elevated CO2","title":"Plant and microbial biomarkers suggest mechanisms of soil organic carbon accumulation in a Mojave Desert ecosystem under elevated CO2","docAbstract":"We investigated how properties of soil organic matter (SOM) were altered after 10 years exposure to elevated atmospheric CO2 concentration ([CO2]) in a Mojave Desert ecosystem, using plant and microbial biomarkers. We focused on roles of Larrea tridentata, the dominant evergreen shrub which form islands of fertility, and biological soil crusts which have extensive cover in plant interspace. Soils to 5 cm in depth were collected under L. tridentata and plant interspace, and biological soil crusts to 0.5 cm in depth under three cover types, Pleuraphis rigida, a C4 grass, shrubs and plant interspace. Soil organic carboncontents were not significantly different between elevated and ambient [CO2]. However, significantly higher abundance of n-alkanes, a major constituent of foliage wax material, occurred in the elevated compared to ambient [CO2] plots in the soils collected under L. tridentata, but no such difference was found in the soils at plant interspace or the biological soil crusts. There was no significant difference in abundance of microbial phospholipid fatty acids between the CO2 treatments in the soils of either cover types. However, neutral lipid fatty acid abundance was significantly higher under elevated than ambient [CO2] in the soils under L. tridentata, whereas no such significant difference was observed at plant interspace. These results emphasize important roles of the dominant shrubs in SOM formation under elevated [CO2] in arid ecosystems. Elevated [CO2] stimulated growth of L. tridentata in wet years, and aboveground litter deposition via senescence contributed to SOM formation in islands of fertility. In addition, elevated [CO2] stimulated soil microbial turnover rates in rhizosphere of L. tridentata, which left more soil microbial necromass, a major SOM source. We concluded that responses of dominant shrubs to elevated [CO2] can stimulate SOM formation in arid ecosystems, but biological soil crusts may have limited capacity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.soilbio.2018.01.033","usgsCitation":"Koyama, A., Harlow, B., Kuske, C.R., Belnap, J., and Evans, R.D., 2018, Plant and microbial biomarkers suggest mechanisms of soil organic carbon accumulation in a Mojave Desert ecosystem under elevated CO2: Soil Biology and Biochemistry, v. 120, p. 48-57, https://doi.org/10.1016/j.soilbio.2018.01.033.","productDescription":"10 p.","startPage":"48","endPage":"57","ipdsId":"IP-065593","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1512734","text":"Publisher Index Page"},{"id":356936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2cfe4b0702d0e842fef","contributors":{"authors":[{"text":"Koyama, Akihiro","contributorId":207394,"corporation":false,"usgs":false,"family":"Koyama","given":"Akihiro","email":"","affiliations":[{"id":37529,"text":"(1)School of Biological Sciences and the Stable Isotope Core Laboratory, Washington State University, Pullman, WA 99164-4236, USA, (2)Department of Biology, Algoma University, Sault Ste. Marie, Ontario P6A 2G4, Canada","active":true,"usgs":false}],"preferred":false,"id":743719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harlow, Benjamin","contributorId":203879,"corporation":false,"usgs":false,"family":"Harlow","given":"Benjamin","email":"","affiliations":[{"id":36739,"text":"Stable Isotope Core Laboratory, School of Biological Sciences, Washington State Universtity","active":true,"usgs":false}],"preferred":false,"id":743720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuske, Cheryl R.","contributorId":175361,"corporation":false,"usgs":false,"family":"Kuske","given":"Cheryl","email":"","middleInitial":"R.","affiliations":[{"id":27561,"text":"Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA","active":true,"usgs":false}],"preferred":false,"id":743722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, R. Dave","contributorId":188043,"corporation":false,"usgs":false,"family":"Evans","given":"R.","email":"","middleInitial":"Dave","affiliations":[],"preferred":false,"id":743721,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199368,"text":"70199368 - 2018 - Spatial distribution of estuarine diamond-backed terrapins (Malaclemys terrapin) and risk analysis from commercial blue crab (Callinectes sapidus) trapping at the Savannah Coastal Refuges Complex, USA","interactions":[],"lastModifiedDate":"2018-09-14T15:07:33","indexId":"70199368","displayToPublicDate":"2018-05-01T15:07:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatial distribution of estuarine diamond-backed terrapins (Malaclemys terrapin) and risk analysis from commercial blue crab (Callinectes sapidus) trapping at the Savannah Coastal Refuges Complex, USA","title":"Spatial distribution of estuarine diamond-backed terrapins (Malaclemys terrapin) and risk analysis from commercial blue crab (Callinectes sapidus) trapping at the Savannah Coastal Refuges Complex, USA","docAbstract":"The diamond-backed terrapin (Malaclemys terrapin) is a small estuarine turtle distributed along the Atlantic and Gulf Coasts of the USA. Terrapin populations are declining throughout their range and one of the main causes is mortality by drowning as bycatch in commercially-fished blue crab (Callinetes sapidus) traps (aka pots). We conducted head counts of terrapins and documented the distribution and number of crab pots on the Savannah Coastal Refuges Complex in southeast Georgia, USA. Using an index for representing relative degree of crabbing pressure, we conducted a spatial risk analysis for each of the four refuges surveyed. We fit a series of generalized linear mixed effect models to test hypotheses about the scale (creek scale vs. refuge/island scale) at which terrapin relative abundances respond to crab trapping. Several creeks were found to be at high risk of terrapin mortality from crab pots. Areas with low terrapin head counts may be a result of past crab pot mortality. The best model relating terrapin counts to crab trapping revealed a negative effect of crab pots calculated at the refuge/island scale and included a positive association between cloud cover and terrapin counts. The estimated effect of crab pot number at the refuge/island scale suggests that an increase in crab pot density of one pot per creek is associated with a 74.6% decline in terrapin head counts, underscoring the sensitivity of terrapin populations to crab pot mortality. Mitigation of this mortality factor via redesigned crab traps with bycatch reduction devices may be necessary to maintain healthy terrapin populations on the refuges.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2018.02.012","usgsCitation":"Lovich, J.E., Thomas, M., Ironside, K.E., Yackulic, C.B., and Puffer, S., 2018, Spatial distribution of estuarine diamond-backed terrapins (Malaclemys terrapin) and risk analysis from commercial blue crab (Callinectes sapidus) trapping at the Savannah Coastal Refuges Complex, USA: Ocean and Coastal Management, v. 157, p. 160-167, https://doi.org/10.1016/j.ocecoaman.2018.02.012.","productDescription":"8 p.","startPage":"160","endPage":"167","ipdsId":"IP-090417","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468780,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocecoaman.2018.02.012","text":"Publisher Index Page"},{"id":437925,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PN94W3","text":"USGS data release","linkHelpText":"Spatial distribution and risk analysis data for diamond-backed terrapins relative to crab trapping, Savannah Coastal Refuge Complex, USA"},{"id":357350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Blackbeard Island National Wildlife Refuge, Harris Neck National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.26106262207031,\n 31.435693747063894\n ],\n [\n -81.17523193359375,\n 31.435693747063894\n ],\n [\n -81.17523193359375,\n 31.53991946406062\n ],\n [\n -81.26106262207031,\n 31.53991946406062\n ],\n [\n -81.26106262207031,\n 31.435693747063894\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.29754066467285,\n 31.62144765808016\n ],\n [\n -81.24209403991699,\n 31.62144765808016\n ],\n [\n -81.24209403991699,\n 31.653527524300973\n ],\n [\n -81.29754066467285,\n 31.653527524300973\n ],\n [\n -81.29754066467285,\n 31.62144765808016\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"157","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02ff8e4b0fc368eb539b4","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":745062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Meagan","contributorId":207526,"corporation":false,"usgs":false,"family":"Thomas","given":"Meagan","email":"","affiliations":[{"id":37553,"text":"Davidson College, Department of Biology, Davidson, NC 28035-7118, USA","active":true,"usgs":false}],"preferred":false,"id":745063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ironside, Kirsten E. 0000-0003-1166-3793 kironside@usgs.gov","orcid":"https://orcid.org/0000-0003-1166-3793","contributorId":3379,"corporation":false,"usgs":true,"family":"Ironside","given":"Kirsten","email":"kironside@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":745064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":745066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puffer, Shellie R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":193099,"corporation":false,"usgs":true,"family":"Puffer","given":"Shellie R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":745065,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198427,"text":"70198427 - 2018 - Thermal tolerance limits of the Chinese mystery snail (Bellamya chinensis): Implications for management","interactions":[],"lastModifiedDate":"2018-08-06T14:48:34","indexId":"70198427","displayToPublicDate":"2018-05-01T14:48:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":735,"text":"American Malacological Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Thermal tolerance limits of the Chinese mystery snail (Bellamya chinensis): Implications for management","title":"Thermal tolerance limits of the Chinese mystery snail (Bellamya chinensis): Implications for management","docAbstract":"The Chinese mystery snail, Bellamya chinensis (Gray, 1834) is a gastropod native to East Asia and is considered an invasive species in North America where its impacts on native species and ecosystems are not well understood. Scientific literature describing its biology and life history are sparse. Thermal tolerance limits, or the maximum and minimum temperature under which a species can survive, are key to identifying the potential geographical range of a species. The ability of managers to control invasive species is directly impacted by the thermal tolerance limits of a species. We attempted to identify the thermal tolerance limits of B. chinensis in a laboratory setting. Using a random sampling design, we exposed groups of wild-caught B. chinensis to either extreme high or low temperature treatments. We identified the upper temperature tolerance limit as between 40 and 45 °C. This result indicates some hot water management techniques may successfully prevent spread of B. chinensis among waterways. Despite exposing B. chinensis to freezing temperatures for extended periods of time we did not identify a lower temperature limit. Identifying the thermal tolerance limits of this and other invasive species informs predictions of range expansion and identification of potential prevention efforts.
","language":"English","publisher":"American Malacological Society","doi":"10.4003/006.036.0106","usgsCitation":"Burnett, J., Pope, K.L., Wong, A., Allen, C.R., Haak, D.M., Stephen, B.J., and Uden, D.R., 2018, Thermal tolerance limits of the Chinese mystery snail (Bellamya chinensis): Implications for management: American Malacological Bulletin, v. 36, no. 1, p. 140-144, https://doi.org/10.4003/006.036.0106.","productDescription":"5 p.","startPage":"140","endPage":"144","ipdsId":"IP-086958","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":356207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc450e4b0f5d57878ea53","contributors":{"authors":[{"text":"Burnett, Jessica","contributorId":189224,"corporation":false,"usgs":false,"family":"Burnett","given":"Jessica","affiliations":[],"preferred":false,"id":741392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":741390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wong, Alec","contributorId":79005,"corporation":false,"usgs":true,"family":"Wong","given":"Alec","email":"","affiliations":[],"preferred":false,"id":741393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":741391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haak, Danielle M.","contributorId":73078,"corporation":false,"usgs":true,"family":"Haak","given":"Danielle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephen, Bruce J.","contributorId":206665,"corporation":false,"usgs":false,"family":"Stephen","given":"Bruce","email":"","middleInitial":"J.","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":741395,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":741396,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70228102,"text":"70228102 - 2018 - Cambarus loughmani, a new species of crayfish (Decapoda: Cambaridae) endemic to the pre-glacial Teays River Valley in West Virginia, USA","interactions":[],"lastModifiedDate":"2022-02-07T14:49:52.490431","indexId":"70228102","displayToPublicDate":"2018-05-01T14:22:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10080,"text":"Journal of Natural History","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Cambarus loughmani, a new species of crayfish (Decapoda: Cambaridae) endemic to the pre-glacial Teays River Valley in West Virginia, USA","title":"Cambarus loughmani, a new species of crayfish (Decapoda: Cambaridae) endemic to the pre-glacial Teays River Valley in West Virginia, USA","docAbstract":"A new species of crayfish, Cambarus loughmani sp. nov., is described from the preglacial Teays River Valley of Cabell, Kanawha, Lincoln, Mason, and Putnam counties, West Virginia. The species was previously considered to be part of the Cambarus dubius complex. Loughman et al. restricted C. dubius to an orange colour morph found in central and northern portions of the Allegheny Mountains and Appalachian Plateau in central West Virginia, western Maryland, and south-central Pennsylvania. The new species described herein can be distinguished from all other members of Cambarus Erichson, 1846 by a double row of cristiform tubercles on the palm, an open areola with two rows of punctations, and a consistent blue colouration.
","language":"English","doi":"10.1080/00222933.2018.1557271","collaboration":"West Virginia University","usgsCitation":"Foltz, D.A., Sadecky, N., Myers, G., , F., Welsh, S.A., Stockner, W., Glon, M., and Thoma, R., 2018, Cambarus loughmani, a new species of crayfish (Decapoda: Cambaridae) endemic to the pre-glacial Teays River Valley in West Virginia, USA: Journal of Natural History, v. 52, p. 2875-2897, https://doi.org/10.1080/00222933.2018.1557271.","productDescription":"23 p.","startPage":"2875","endPage":"2897","ipdsId":"IP-097637","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488985,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/5178104","text":"External Repository"},{"id":395484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","county":"Cabell County, Kanawha County, Lincoln County, Mason County, Putnam County","otherGeospatial":"Teays River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.01568603515625,\n 38.98503278695909\n ],\n [\n -82.2271728515625,\n 38.61472442637688\n ],\n [\n -82.2930908203125,\n 38.44498466889473\n ],\n [\n -81.3262939453125,\n 38.14319750166766\n ],\n [\n -80.77423095703124,\n 38.13887716726548\n ],\n [\n -80.57647705078125,\n 38.212288054388175\n ],\n [\n -80.52429199218749,\n 38.5632002667659\n ],\n [\n -80.595703125,\n 38.758366935612784\n ],\n [\n -82.01568603515625,\n 38.98503278695909\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","noUsgsAuthors":false,"publicationDate":"2019-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Foltz, David A. 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We characterize critical zone structure using shallow seismic Vp and Vs profiles and vertical exposures of rock across a basaltic climosequence on Kohala peninsula, Hawai’i, and exploit the dramatic gradient in mean annual precipitation (MAP) across the peninsula as a proxy for weathering intensity. Seismic velocity increases rapidly with depth and the velocity–depth gradient is uniform across three sites with 500–600 mm/yr MAP, where the transition to unaltered bedrock occurs at a depth of 4 to 10 m. In contrast, velocity increases with depth less rapidly at wetter sites, but this gradient remains constant across increasing MAP from 1000 to 3000 mm/yr and the transition to unaltered bedrock is near the maximum depth of investigation (15–25 m). In detail, the profiles of seismic velocity and of weathering at wet sites are nowhere monotonic functions of depth. The uniform average velocity gradient and the greater depths of low velocities may be explained by the averaging of velocities over intercalated highly weathered sites with less weathered layers at sites where MAP > 1000 mm/yr. Hence, the main effect of climate is not the progressive deepening of a near‐surface altered layer, but rather the rapid weathering of high permeability zones within rock subjected to precipitation greater than ~1000 mm/yr. Although weathering suggests mechanical weakening, the nearly horizontal orientation of alternating weathered and unweathered horizons with respect to topography also plays a role in the slope stability of these heterogeneous rock masses. We speculate that where steep, rapidly evolving hillslopes exist, the sub‐horizontal orientation of weak/strong horizons allows such sites to remain nearly as strong as their less weathered counterparts at drier sites, as is exemplified by the 50°–60° slopes maintained in the amphitheater canyons on the northwest flank of the island.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.4290","usgsCitation":"Von Voigtlander, J., Clark, M., Zekkos, D., Greenwood, W.W., Anderson, S.P., Anderson, R.S., and Godt, J.W., 2018, Strong variation in weathering of layered rock maintains hillslope‐scale strength under high precipitation: Earth Surface Processes and Landforms, v. 43, no. 6, p. 1183-1194, https://doi.org/10.1002/esp.4290.","productDescription":"12 p.","startPage":"1183","endPage":"1194","ipdsId":"IP-092441","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":468781,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2027.42/143701","text":"External Repository"},{"id":359044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kohala peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.95779418945312,\n 20.003031854711367\n ],\n [\n -155.56365966796875,\n 20.003031854711367\n ],\n [\n -155.56365966796875,\n 20.308569296896167\n ],\n [\n -155.95779418945312,\n 20.308569296896167\n ],\n [\n -155.95779418945312,\n 20.003031854711367\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-02","publicationStatus":"PW","scienceBaseUri":"5c10a9c4e4b034bf6a7e544a","contributors":{"authors":[{"text":"Von Voigtlander, Jennifer","contributorId":210297,"corporation":false,"usgs":false,"family":"Von Voigtlander","given":"Jennifer","email":"","affiliations":[{"id":38101,"text":"Dept. of Earth and Environmental Sciences, Univ. Michigan","active":true,"usgs":false}],"preferred":false,"id":750404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Marin K.","contributorId":139684,"corporation":false,"usgs":false,"family":"Clark","given":"Marin K.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":750405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zekkos, Dimitrios","contributorId":200290,"corporation":false,"usgs":false,"family":"Zekkos","given":"Dimitrios","email":"","affiliations":[],"preferred":false,"id":750406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greenwood, William W.","contributorId":210298,"corporation":false,"usgs":false,"family":"Greenwood","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":38102,"text":"Dept. of Civil and Environmental Engineering, Univ. Michigan","active":true,"usgs":false}],"preferred":false,"id":750407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Suzanne P. 0000-0002-6796-6649","orcid":"https://orcid.org/0000-0002-6796-6649","contributorId":172732,"corporation":false,"usgs":false,"family":"Anderson","given":"Suzanne","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":750408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Robert S.","contributorId":195154,"corporation":false,"usgs":false,"family":"Anderson","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":750409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750403,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70201610,"text":"70201610 - 2018 - Integrating forest inventory data and MODIS data to map species-level biomass in Chinese boreal forests","interactions":[],"lastModifiedDate":"2018-12-18T14:07:03","indexId":"70201610","displayToPublicDate":"2018-05-01T14:07:08","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Integrating forest inventory data and MODIS data to map species-level biomass in Chinese boreal forests","docAbstract":"Timely and accurate knowledge of species-level biomass is essential for forest managers to sustain forest resources and respond to various forest disturbance regimes. In this study, maps of species-level biomass in Chinese boreal forests were generated by integrating Moderate Resolution Imaging Spectroradiometer (MODIS) images with forest inventory data using k nearest neighbor (kNN) methods and evaluated at different scales. The performance of 630 kNN models based on different distance metrics, k values, and temporal MODIS predictor variables were compared. Random Forest (RF) showed the best performance among the six distance metrics: RF, Euclidean distance, Mahalanobis distance, most similar neighbor in canonical correlation space, most similar neighbor computed using projection pursuit, and gradient nearest neighbor. No appreciable improvement was observed using multi-month MODIS data compared with using single-month MODIS data. At the pixel scale, species-level biomass for larch and white birch had relatively good accuracy (root mean square deviation < 62.1%), while the other species had poorer accuracy. The accuracy of most species except for willow and spruce was improved up to the ecoregion scale. The maps of species-level biomass captured the effects of disturbances including fire and harvest and can provide useful information for broad-scale forest monitoring over time.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfr-2017-0346","usgsCitation":"Zhang, Q., He, H.S., Liang, Y., Hawbaker, T., Henne, P., Liu, J., Huang, S., Wu, Z., and Huang, C., 2018, Integrating forest inventory data and MODIS data to map species-level biomass in Chinese boreal forests: Canadian Journal of Forest Research, v. 48, no. 5, p. 461-479, https://doi.org/10.1139/cjfr-2017-0346.","productDescription":"19 p.","startPage":"461","endPage":"479","ipdsId":"IP-085665","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":360498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 121,\n 50\n ],\n [\n 127.5,\n 50\n ],\n [\n 127.5,\n 53.5\n ],\n [\n 121,\n 53.5\n ],\n [\n 121,\n 50\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1a1533e4b0708288c23538","contributors":{"authors":[{"text":"Zhang, Qinglong","contributorId":211615,"corporation":false,"usgs":false,"family":"Zhang","given":"Qinglong","email":"","affiliations":[{"id":38276,"text":"CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Shenyang 110016, China","active":true,"usgs":false}],"preferred":false,"id":754516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"He, Hong S.","contributorId":211612,"corporation":false,"usgs":true,"family":"He","given":"Hong","email":"","middleInitial":"S.","affiliations":[{"id":38275,"text":"Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; School of Natural Resources, University of Missouri, 203 ABNR Building, Columbia, MO, USA","active":true,"usgs":false}],"preferred":false,"id":754517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liang, Yu","contributorId":211613,"corporation":false,"usgs":false,"family":"Liang","given":"Yu","email":"","affiliations":[{"id":38274,"text":"Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China","active":true,"usgs":false}],"preferred":false,"id":754518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":754626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henne, Paul D. 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":169166,"corporation":false,"usgs":true,"family":"Henne","given":"Paul D.","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":754519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":754520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Shengli","contributorId":192377,"corporation":false,"usgs":false,"family":"Huang","given":"Shengli","affiliations":[],"preferred":false,"id":754521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wu, Zhiwei","contributorId":211614,"corporation":false,"usgs":false,"family":"Wu","given":"Zhiwei","email":"","affiliations":[{"id":38274,"text":"Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China","active":true,"usgs":false}],"preferred":false,"id":754522,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huang, Chao","contributorId":211611,"corporation":false,"usgs":false,"family":"Huang","given":"Chao","email":"","affiliations":[{"id":38274,"text":"Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China","active":true,"usgs":false}],"preferred":true,"id":754523,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70198418,"text":"70198418 - 2018 - Demographic rates of two southeastern populations of Painted Bunting, 2007–2015","interactions":[],"lastModifiedDate":"2018-08-03T14:02:55","indexId":"70198418","displayToPublicDate":"2018-05-01T14:02:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Demographic rates of two southeastern populations of Painted Bunting, 2007–2015","docAbstract":"Painted Buntings (Passerina ciris) have been declining in the southeastern United States since the 1970s. A recent demographic assessment highlighted the importance of estimating demographic parameters, which have received little attention to date. The dearth of information is troublesome because attempts to reverse declining trends require a better understanding of the relationship between habitat quality and age- and sex-specific survival and recruitment rates. We used capture–mark–recapture data collected from 2007 to 2015 on Bald Head Island (BHI) and at Hammocks Beach State Park (HBSP) in North Carolina, USA, to estimate local age- and sex-specific annual survival rates and local population size and recruitment rates using programs MARK and LOLASURVIV. Juveniles had lower local survival rates than adults (HBSP: 0.28 ± 0.14 vs. 0.67 ± 0.06; BHI: 0.28 ± 0.04 vs. 0.57 ± 0.02). Local annual survival rates for males on BHI (0.50 ± 0.03) were lower than those for females (0.57 ± 0.02). Age-specific differences were consistent with known differential age-dependent survival skills, and sex-specific differences were consistent with the potential influence of sexual dichromism. Conservative estimates of population size on BHI averaged 101 juveniles and 263 adults annually. Annual in situ reproductive recruitment averaged 28 individuals plus an additional 120 new immigrants, indicating successful reproduction and connectivity with neighboring coastal populations. Local adult survival estimates from our 2 North Carolinian study populations were similar to high-end estimates from across the eastern and western range of the species (∼0.60). Finite observed population growth rate estimates between the BHI population (λ = 1.10) and a South Carolinian population (λ = 0.87) underscore the potential role of differential habitat quality and the importance of information from multiple sites, including nonbreeding grounds, for proper inferences about the status of the species. Reported vital rates provide a stronger foundation on which to base habitat quality as assessed with demographic parameters and to guide Painted Bunting conservation regionally.
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In the spatiotemporal setting, several families of covariance functions exist to accommodate a wide variety of dependence structures arising in different applications. These parametric families can be restrictive and are insufficient in some situations. In contrast, process convolutions represent a flexible, interpretable approach to defining the covariance of a Gaussian process and have modest requirements to ensure validity. We introduce a generalization of the process convolution approach that employs multiple convolutions sequentially to form a “process convolution chain”. In our proposed multistage framework, complex dependencies that arise from a combination of different interacting mechanisms are decomposed into a series of interpretable kernel smoothers. We demonstrate an application of process convolution chains to model killer whale movement, in which the paths taken by multiple individuals are not independent but reflect dynamic social interactions within the population. Our proposed model for dependent movement provides inference for the latent dynamic social structure in the study population. Additionally, by leveraging the positive dependence among individual paths, we achieve a reduction in uncertainty for the estimated locations of the killer whales, compared with a model that treats paths as independent.
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