DNA-based capture-mark-recapture techniques are commonly used to estimate American black bear (Ursus americanus) population abundance (N). Although the technique is well established, many questions remain regarding study design. In particular, relationships among N, capture probability of heterogeneity mixtures A and B (pA and pB, respectively, or p, collectively), the proportion of each mixture (π), number of capture occasions (k), and probability of obtaining reliable estimates of N are not fully understood. We investigated these relationships using 1) an empirical dataset of DNA samples for which true N was unknown and 2) simulated datasets with known properties that represented a broader array of sampling conditions. For the empirical data analysis, we used the full closed population with heterogeneity data type in Program MARK to estimate N for a black bear population in Great Smoky Mountains National Park, Tennessee. We systematically reduced the number of those samples used in the analysis to evaluate the effect that changes in capture probabilities may have on parameter estimates. Model-averaged N for females and males were 161 (95% CI = 114–272) and 100 (95% CI = 74–167), respectively (pooled N = 261, 95% CI = 192–419), and the average weekly p was 0.09 for females and 0.12 for males. When we reduced the number of samples of the empirical data, support for heterogeneity models decreased. For the simulation analysis, we generated capture data with individual heterogeneity covering a range of sampling conditions commonly encountered in DNA-based capture-mark-recapture studies and examined the relationships between those conditions and accuracy (i.e., probability of obtaining an estimated N that is within 20% of true N), coverage (i.e., probability that 95% confidence interval includes true N), and precision (i.e., probability of obtaining a coefficient of variation ≤20%) of estimates using logistic regression. The capture probability for the larger of 2 mixture proportions of the population (i.e., pA or pB, depending on the value of π) was most important for predicting accuracy and precision, whereas capture probabilities of both mixture proportions (pA and pB) were important to explain variation in coverage. Based on sampling conditions similar to parameter estimates from the empirical dataset (pA = 0.30, pB = 0.05, N = 250, π = 0.15, and k = 10), predicted accuracy and precision were low (60% and 53%, respectively), whereas coverage was high (94%). Increasing pB, the capture probability for the predominate but most difficult to capture proportion of the population, was most effective to improve accuracy under those conditions. However, manipulation of other parameters may be more effective under different conditions. In general, the probabilities of obtaining accurate and precise estimates were best when p≥ 0.2. Our regression models can be used by managers to evaluate specific sampling scenarios and guide development of sampling frameworks or to assess reliability of DNA-based capture-mark-recapture studies.
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Fifteen watershed sites and one beach site adjacent to the Little Calumet River–Portage Burns Waterway (LCRPBW) on Lake Michigan were tested on four dates for pH, dissolved oxygen, specific conductance, chloride, color, ammonia- and nitrate-nitrogen, soluble phosphorus, sulfate, turbidity, and atrazine; for concentrations of FIB; and for genes indicating the presence of human-pathogenic enterococci (ENT) and of Shiga-toxin producing Escherichia coli (EC) from various animal sources. Nineteen samples were also tested for 60 OWCs. Half of the watershed samples met EC recreational water quality standards; none met ENT standards. Human-wastewater-associated OWC detections were correlated with human-influence indicators such as population/km2, chloride concentrations, and the presence of WWTP effluents, but EC and ENT concentrations were not. Bacterial pathogen genes indicated rural human and several potential animal sources. OWCs of human or ecosystem health concern (musk fragrances AHTN and HHCB, alkylphenols, carbamazepine) and 3 bacterial pathogen genes were detected at the mouth of the LCRPBW, but no such OWCs and only 1 pathogen gene were detected at the beach. The LCRPBW has significant potential to deliver FIB, potential bacterial pathogens, and OWCs of human or ecosystem health concern to the nearshore of Lake Michigan, under conditions enhancing nearshore transport of the river plume. Nearshore mixing of lake and river water, and the lack of relationship between OWCs and FIB or pathogen genes, pose numerous challenges for watershed and nearshore assessment and remediation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Journal of Great Lakes Research","doi":"10.1016/j.jglr.2013.03.015","usgsCitation":"Haack, S.K., and Duris, J.W., 2013, Dynamics of fecal indicator bacteria, bacterial pathogen genes, and organic wastewater contaminants in the Little Calumet River: Portage Burns Waterway, Indiana: Journal of Great Lakes Research, v. 39, no. 2, p. 317-326, https://doi.org/10.1016/j.jglr.2013.03.015.","productDescription":"10 p.","startPage":"317","endPage":"326","ipdsId":"IP-032243","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":286852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286851,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.03.015"}],"country":"United States","state":"Indiana","otherGeospatial":"Little Calumet River - Portage Burns Waterway","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.5,41.2 ], [ -87.5,41.7 ], [ -87.83,41.7 ], [ -87.83,41.2 ], [ -87.5,41.2 ] ] ] } } ] }","volume":"39","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53771743e4b02eab8669ebbf","contributors":{"authors":[{"text":"Haack, Sheridan K. skhaack@usgs.gov","contributorId":1982,"corporation":false,"usgs":true,"family":"Haack","given":"Sheridan","email":"skhaack@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duris, Joseph W. 0000-0002-8669-8109 jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":1981,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493329,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70045544,"text":"70045544 - 2013 - Seismic hazard analysis using simulated ground motions","interactions":[],"lastModifiedDate":"2014-05-13T15:16:53","indexId":"70045544","displayToPublicDate":"2013-07-01T15:13:37","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Seismic hazard analysis using simulated ground motions","largerWorkTitle":"Proceedings of the 11th International Conference on Structural Safety & Reliability (ICOSSAR)","conferenceTitle":"11th International Conference on Structural Safety & Reliability","conferenceLocation":"Columbia University New York, NY","language":"English","publisher":"International Association for Structural Safety and Reliability (IASSAR","usgsCitation":"Dabaghi, M., Der Kiureghian, A., Rezaeian, S., and Luco, N., 2013, Seismic hazard analysis using simulated ground motions.","ipdsId":"IP-045175","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":287098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287097,"type":{"id":15,"text":"Index Page"},"url":"https://icossar2013.org/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53733f04e4b0497061278932","contributors":{"authors":[{"text":"Dabaghi, M.","contributorId":96534,"corporation":false,"usgs":true,"family":"Dabaghi","given":"M.","email":"","affiliations":[],"preferred":false,"id":477814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Der Kiureghian, A.","contributorId":14615,"corporation":false,"usgs":true,"family":"Der Kiureghian","given":"A.","affiliations":[],"preferred":false,"id":477811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rezaeian, S.","contributorId":84627,"corporation":false,"usgs":true,"family":"Rezaeian","given":"S.","affiliations":[],"preferred":false,"id":477813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luco, N.","contributorId":34240,"corporation":false,"usgs":true,"family":"Luco","given":"N.","email":"","affiliations":[],"preferred":false,"id":477812,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70128554,"text":"70128554 - 2013 - Home range characteristics and overwintering ecology of the stripe-necked musk turtle (Sternotherus minor peltifer) in middle Tennessee","interactions":[],"lastModifiedDate":"2014-10-09T15:18:19","indexId":"70128554","displayToPublicDate":"2013-07-01T14:59:56","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1210,"text":"Chelonian Conservation and Biology","active":true,"publicationSubtype":{"id":10}},"title":"Home range characteristics and overwintering ecology of the stripe-necked musk turtle (Sternotherus minor peltifer) in middle Tennessee","docAbstract":"Little is known about the movement behavior of the stripe-necked musk turtle, Sternotherus minor peltifer. Using radiotelemetry, we calculated mean (± SD) home range length, which was 341.4 ± 90.3 m, with home range length not differing between the sexes (males, 335 ± 194 m; females, 346 ± 79.5 m). Sternotherus m. peltifer were active in every month of the year but decreased their movement distance and frequency between December and March; during nonwinter and winter periods, individuals used limestone bluffs most often.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chelonian Conservation and Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Chelonian Research Foundation","publisherLocation":"Lunenburg, MA","doi":"10.2744/CCB-1026.1","usgsCitation":"Ennen, J.R., and Scott, A., 2013, Home range characteristics and overwintering ecology of the stripe-necked musk turtle (Sternotherus minor peltifer) in middle Tennessee: Chelonian Conservation and Biology, v. 12, no. 1, p. 199-203, https://doi.org/10.2744/CCB-1026.1.","productDescription":"5 p.","startPage":"199","endPage":"203","numberOfPages":"5","ipdsId":"IP-023271","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2744/ccb-1026.1","text":"Publisher Index Page"},{"id":295190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295189,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2744/CCB-1026.1"}],"country":"United States","state":"Tennessee","volume":"12","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5437a3c0e4b08a816ca6365f","contributors":{"authors":[{"text":"Ennen, Joshua R.","contributorId":83858,"corporation":false,"usgs":true,"family":"Ennen","given":"Joshua","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":503045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, A. 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Most of the work to support this development was focused along disciplinary lines with little attention focused on ecosystem service trade-offs or synergisms, especially those that transcended boundaries of scientific disciplines and specific interest groups. Concurrently, human population size has increased substantially and its use of ecosystem services has increased more than five-fold over just the past century. Consequently, the contemporary landscape has been highly modified for human use, leaving behind a fragmented landscape where basic ecosystem functions and processes have been broadly altered. Over this period, climate change also interacted with other anthropogenic effects, resulting in modern environmental problems having a complexity that is without historical precedent. The challenge before the scientific community is to develop new science paradigms that integrate relevant scientific disciplines to properly frame and evaluate modern environmental problems in a systems-type approach to better inform the decision-making process. Wetland science is a relatively new discipline that grew out of the conservation movement of the early twentieth century. In the United States, most of the conservation attention in the earlier days was on wildlife, but a growing human awareness of the importance of the environment led to the passage of the National Environmental Policy Act in 1969. Concurrently, there was a broadening interest in conservation science, and the scientific study of wetlands gradually gained acceptance as a scientific discipline. Pioneering wetland scientists became formally organized when they formed The Society of Wetland Scientists in 1980 and established a publication outlet to share wetland research findings. In comparison to older and more traditional scientific disciplines, the wetland sciences may be better equipped to tackle today’s complex problems. Since its emergence as a scientific discipline, the study of wetlands has frequently required interdisciplinary and integrated approaches. This interdisciplinary/integrated approach is largely the result of the fact that wetlands cannot be studied in isolation of upland areas that contribute surface and subsurface water, solutes, sediments, and nutrients into wetland basins. However, challenges still remain in thoroughly integrating the wetland sciences with scientific disciplines involved in upland studies, especially those involved with agriculture, development, and other land-conversion activities that influence wetland hydrology, chemistry, and sedimentation. One way to facilitate this integration is to develop an understanding of how human activities affect wetland ecosystem services, especially the trade-offs and synergisms that occur when land-use changes are made. Used in this context, an understanding of the real costs of managing for a particular ecosystem service or groups of services can be determined and quantified in terms of reduced delivery of other services and in overall sustainability of the wetland and the landscapes that support them. In this chapter, we discuss some of the more salient aspects of a few common wetland types to give the reader some background on the diversity of functions that wetlands perform and the specific ecosystem services they provide to society. Wetlands are among the most complex ecosystems on the planet, and it is often difficult to communicate to a diverse public all of the positive services wetlands provide to mankind. Our goal is to help the reader develop an understanding that management options can be approached as societal choices where decisions can be made within a spatial and temporal context to identify trade-offs, synergies, and effects on long-term sustainability of wetland ecosystems. This will be especially relevant as we move into alternate climate futures where our portfolio of management options for mitigating damage to ecosystem function or detrimental cascading effects must be diverse and effective.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wetland Techniques","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer","publisherLocation":"New York","doi":"10.1007/978-94-007-6907-6_5","isbn":"9789400769069","usgsCitation":"Euliss, N.H., Mushet, D.M., Smith, L., Conner, W.H., Burkett, V.R., Wilcox, D.A., Hester, M.W., and Zheng, H., 2013, Ecosystem services: developing sustainable management paradigms based on wetland functions and processes, chap. of Wetland Techniques, v. 3, p. 181-227, https://doi.org/10.1007/978-94-007-6907-6_5.","productDescription":"47 p.","startPage":"181","endPage":"227","ipdsId":"IP-035387","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":278853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278852,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/978-94-007-6907-6_5"}],"country":"United States","volume":"3","noUsgsAuthors":false,"publicationDate":"2013-08-03","publicationStatus":"PW","scienceBaseUri":"527a2181e4b051792d019509","contributors":{"authors":[{"text":"Euliss, Ned H. 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The OCS system enables researchers to collect underwater imagery with real-time feedback, measure the spectral response, and quantify the water clarity with simple and relatively inexpensive instruments that can be hand-deployed from a small vessel. This article reviews the design and performance of the system, based on operational and logistical considerations, as well as the data requirements to support a number of coastal science and management projects. The OCS system has been operational since 2009 and has been used in several ground-truth missions that overlapped with airborne lidar bathymetry (ALB), hyperspectral imagery (HSI), and swath-sonar bathymetric surveys in the Gulf of Maine, southwest Alaska, and the US Virgin Islands (USVI). Research projects that have used the system include a comparison of backscatter intensity derived from acoustic (multibeam/interferometric sonars) versus active optical (ALB) sensors, ALB bottom detection, and seafloor characterization using HSI and ALB.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2013.800655","usgsCitation":"Pe’eri, S., McLeod, A., Lavoie, P., Ackerman, S.D., Gardner, J., and Parrish, C., 2013, Field calibration and validation of remote-sensing surveys: International Journal of Remote Sensing, v. 34, no. 18, p. 6423-6436, https://doi.org/10.1080/01431161.2013.800655.","productDescription":"14 p.","startPage":"6423","endPage":"6436","numberOfPages":"14","ipdsId":"IP-044361","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":286999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286989,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2013.800655"}],"country":"United States;U.S. Virgin Islands","state":"Alaska","otherGeospatial":"Gulf Of Maine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -133.810887,17.774787 ], [ -133.810887,56.580001 ], [ -64.599525,56.580001 ], [ -64.599525,17.774787 ], [ -133.810887,17.774787 ] ] ] } } ] }","volume":"34","issue":"18","noUsgsAuthors":false,"publicationDate":"2013-06-10","publicationStatus":"PW","scienceBaseUri":"536ca767e4b060efff280dab","contributors":{"authors":[{"text":"Pe’eri, Shachak","contributorId":106015,"corporation":false,"usgs":true,"family":"Pe’eri","given":"Shachak","email":"","affiliations":[],"preferred":false,"id":493459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLeod, Andy","contributorId":96592,"corporation":false,"usgs":true,"family":"McLeod","given":"Andy","email":"","affiliations":[],"preferred":false,"id":493457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lavoie, Paul","contributorId":51206,"corporation":false,"usgs":true,"family":"Lavoie","given":"Paul","email":"","affiliations":[],"preferred":false,"id":493455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":493454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, James","contributorId":93387,"corporation":false,"usgs":true,"family":"Gardner","given":"James","affiliations":[],"preferred":false,"id":493456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parrish, Christopher","contributorId":98635,"corporation":false,"usgs":true,"family":"Parrish","given":"Christopher","affiliations":[],"preferred":false,"id":493458,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048501,"text":"70048501 - 2013 - A five-year study of Hawaiian hoary bat (Lasiurus cinereus semotus) occupancy on the island of Hawai`i","interactions":[],"lastModifiedDate":"2014-06-20T14:10:14","indexId":"70048501","displayToPublicDate":"2013-07-01T13:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"HCSU-041","title":"A five-year study of Hawaiian hoary bat (Lasiurus cinereus semotus) occupancy on the island of Hawai`i","docAbstract":"Using acoustic recordings of the vocalizations of the endangered Hawaiian hoary bat (Lasiurus \ncinereus semotus) collected over a five-year period (2007–2011) from 25 survey areas across \nthe island of Hawai`i, we modeled the relationship between habitat attributes and bat \noccurrence. Our data support the conclusion that hoary bats concentrate in the coastal lowlands \nof Hawai`i during the breeding season, May through October, and migrate to interior highlands \nduring the winter non-breeding season. Highest occupancy peaked on the Julian date 15 \nSeptember across the five-year average and during the season of fledging by the young of the \nyear. Although the Hawaiian hoary bat is a habitat generalist species and occurs from sea level \nto the highest volcanic peaks on Hawai`i, there was a significant association between\noccupancy and the prevalence of mature forest cover. Trends in occupancy were stable to\nslightly increasing during the breeding season over the five years of our surveys.","language":"English","publisher":"University of Hawai‘i at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Gorressen, M.P., Bonaccorso, F., Pinzari, C., Todd, C.M., Montoya-Aiona, K., and Brinck, K., 2013, A five-year study of Hawaiian hoary bat (Lasiurus cinereus semotus) occupancy on the island of Hawai`i, iv, 48 p.","productDescription":"iv, 48 p.","numberOfPages":"54","ipdsId":"IP-046159","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":279187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278237,"type":{"id":15,"text":"Index Page"},"url":"https://hilo.hawaii.edu/hcsu/publications.php"}],"projection":"Universal Transverse Mercator 5 North projection","datum":"North American Datum of 1983","country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.2729,18.8676 ], [ -156.2729,20.2894 ], [ -154.6488,20.2894 ], [ -154.6488,18.8676 ], [ -156.2729,18.8676 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96a9e4b0c629af44dd8f","contributors":{"authors":[{"text":"Gorressen, Marcos P.","contributorId":40887,"corporation":false,"usgs":true,"family":"Gorressen","given":"Marcos","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonaccorso, Frank J.","contributorId":73089,"corporation":false,"usgs":true,"family":"Bonaccorso","given":"Frank J.","affiliations":[],"preferred":false,"id":484857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pinzari, Corinna A.","contributorId":57359,"corporation":false,"usgs":true,"family":"Pinzari","given":"Corinna A.","affiliations":[],"preferred":false,"id":484855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Todd, Christopher M.","contributorId":64548,"corporation":false,"usgs":true,"family":"Todd","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Montoya-Aiona, Kristina 0000-0002-1776-5443 kmontoya-aiona@usgs.gov","orcid":"https://orcid.org/0000-0002-1776-5443","contributorId":5899,"corporation":false,"usgs":true,"family":"Montoya-Aiona","given":"Kristina","email":"kmontoya-aiona@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":484853,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":3847,"corporation":false,"usgs":true,"family":"Brinck","given":"Kevin W.","email":"kbrinck@usgs.gov","affiliations":[],"preferred":false,"id":484852,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70102818,"text":"70102818 - 2013 - Uncertainty in simulated groundwater-quality trends in transient flow","interactions":[],"lastModifiedDate":"2014-04-24T13:35:00","indexId":"70102818","displayToPublicDate":"2013-07-01T13:33:13","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty in simulated groundwater-quality trends in transient flow","docAbstract":"In numerical modeling of groundwater flow, the result of a given solution method is affected by the way in which transient flow conditions and geologic heterogeneity are simulated. An algorithm is demonstrated that simulates breakthrough curves at a pumping well by convolution-based particle tracking in a transient flow field for several synthetic basin-scale aquifers. In comparison to grid-based (Eulerian) methods, the particle (Lagrangian) method is better able to capture multimodal breakthrough caused by changes in pumping at the well, although the particle method may be apparently nonlinear because of the discrete nature of particle arrival times. Trial-and-error choice of number of particles and release times can perhaps overcome the apparent nonlinearity. Heterogeneous aquifer properties tend to smooth the effects of transient pumping, making it difficult to separate their effects in parameter estimation. Porosity, a new parameter added for advective transport, can be accurately estimated using both grid-based and particle-based methods, but predictions can be highly uncertain, even in the simple, nonreactive case.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer-Verlag","doi":"10.1007/s10040-013-0967-2","usgsCitation":"Starn, J.J., Bagtzoglou, A., and Robbins, G.A., 2013, Uncertainty in simulated groundwater-quality trends in transient flow: Hydrogeology Journal, v. 21, no. 4, p. 813-827, https://doi.org/10.1007/s10040-013-0967-2.","productDescription":"15 p.","startPage":"813","endPage":"827","numberOfPages":"15","ipdsId":"IP-037984","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":286534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286533,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-013-0967-2"}],"volume":"21","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-03-13","publicationStatus":"PW","scienceBaseUri":"535a3272e4b0d0864496275d","contributors":{"authors":[{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":493019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagtzoglou, Amvrossios","contributorId":90641,"corporation":false,"usgs":true,"family":"Bagtzoglou","given":"Amvrossios","affiliations":[],"preferred":false,"id":493018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Gary A.","contributorId":41743,"corporation":false,"usgs":true,"family":"Robbins","given":"Gary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493017,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047846,"text":"70047846 - 2013 - A long-term comparison of carbon sequestration rates in impounded and naturally tidal freshwater marshes along the lower Waccamaw River, South Carolina","interactions":[],"lastModifiedDate":"2017-01-18T13:06:12","indexId":"70047846","displayToPublicDate":"2013-07-01T12:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"A long-term comparison of carbon sequestration rates in impounded and naturally tidal freshwater marshes along the lower Waccamaw River, South Carolina","docAbstract":"Carbon storage was compared between impounded and naturally tidal freshwater marshes along the Lower Waccamaw River in South Carolina, USA. Soil cores were collected in (1) naturally tidal, (2) moist soil (impounded, seasonally drained since ~1970), and (3) deeply flooded “treatments” (impounded, flooded to ~90 cm since ~2002). Cores were analyzed for % organic carbon, % total carbon, bulk density, and 210Pb and 137Cs for dating purposes. Carbon sequestration rates ranged from 25 to 200 g C m−2 yr−1 (moist soil), 80–435 g C m−2 yr−1 (naturally tidal), and 100–250 g C m−2 yr−1 (deeply flooded). The moist soil and naturally tidal treatments were compared over a period of 40 years. The naturally tidal treatment had significantly higher carbon storage (mean = 219 g C m−2 yr−1 vs. mean = 91 g C m−2 yr−1) and four times the vertical accretion rate (mean = 0.84 cm yr−1 vs. mean = 0.21 cm yr−1) of the moist soil treatment. The results strongly suggest that the long drainage period in moist soil management limits carbon storage over time. Managers across the National Wildlife Refuge system have an opportunity to increase carbon storage by minimizing drainage in impoundments as much as practicable.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0456-3","usgsCitation":"Drexler, J., Krauss, K.W., Sasser, M.C., Fuller, C.C., Swarzenski, C.M., Powell, A., Swanson, K., and Orlando, J.L., 2013, A long-term comparison of carbon sequestration rates in impounded and naturally tidal freshwater marshes along the lower Waccamaw River, South Carolina: Wetlands, 10 p., https://doi.org/10.1007/s13157-013-0456-3.","productDescription":"10 p.","numberOfPages":"10","ipdsId":"IP-042069","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":277050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277049,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-013-0456-3"}],"country":"United States","state":"South Carolina","city":"Georgetown","otherGeospatial":"Lower Waccamaw","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.183333,33.466667 ], [ -79.183333,33.55 ], [ -79.116667,33.55 ], [ -79.116667,33.466667 ], [ -79.183333,33.466667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-07-19","publicationStatus":"PW","scienceBaseUri":"521dcc02e4b051c878dc3561","contributors":{"authors":[{"text":"Drexler, Judith Z. 0000-0002-0127-3866","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":8941,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith Z.","affiliations":[],"preferred":false,"id":483133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":483132,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sasser, M. Craig","contributorId":60525,"corporation":false,"usgs":true,"family":"Sasser","given":"M.","email":"","middleInitial":"Craig","affiliations":[],"preferred":false,"id":483136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":483131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swarzenski, Christopher M. 0000-0001-9843-1471 cswarzen@usgs.gov","orcid":"https://orcid.org/0000-0001-9843-1471","contributorId":656,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Christopher","email":"cswarzen@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":483129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Powell, Amber","contributorId":25447,"corporation":false,"usgs":true,"family":"Powell","given":"Amber","email":"","affiliations":[],"preferred":false,"id":483135,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swanson, Kathleen M.","contributorId":11289,"corporation":false,"usgs":true,"family":"Swanson","given":"Kathleen M.","affiliations":[],"preferred":false,"id":483134,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Orlando, James L. 0000-0002-0099-7221 jorlando@usgs.gov","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":1368,"corporation":false,"usgs":true,"family":"Orlando","given":"James","email":"jorlando@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":483130,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70048222,"text":"70048222 - 2013 - Carnivore use of avocado orchards across an agricultural-wildland gradient","interactions":[],"lastModifiedDate":"2013-09-17T12:54:36","indexId":"70048222","displayToPublicDate":"2013-07-01T12:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Carnivore use of avocado orchards across an agricultural-wildland gradient","docAbstract":"Wide-ranging species cannot persist in reserves alone. Consequently, there is growing interest in the conservation value of agricultural lands that separate or buffer natural areas. The value of agricultural lands for wildlife habitat and connectivity varies as a function of the crop type and landscape context, and quantifying these differences will improve our ability to manage these lands more effectively for animals. In southern California, many species are present in avocado orchards, including mammalian carnivores. We examined occupancy of avocado orchards by mammalian carnivores across agricultural-wildland gradients in southern California with motion-activated cameras. More carnivore species were detected with cameras in orchards than in wildland sites, and for bobcats and gray foxes, orchards were associated with higher occupancy rates. Our results demonstrate that agricultural lands have potential to contribute to conservation by providing habitat or facilitating landscape connectivity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0068025","usgsCitation":"Nogeire, T.M., Davis, F., Duggan, J.M., Crooks, K.R., and Boydston, E.E., 2013, Carnivore use of avocado orchards across an agricultural-wildland gradient: PLoS ONE, v. 8, no. 7, 6 p., https://doi.org/10.1371/journal.pone.0068025.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-045973","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0068025","text":"Publisher Index Page"},{"id":277627,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0068025"},{"id":277629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Santa Barbara County;Ventura County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0934,33.6995 ], [ -120.0934,35.0141 ], [ -118.1954,35.0141 ], [ -118.1954,33.6995 ], [ -120.0934,33.6995 ] ] ] } } ] }","volume":"8","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-02","publicationStatus":"PW","scienceBaseUri":"523979e4e4b04b9308ae4e6f","contributors":{"authors":[{"text":"Nogeire, Theresa M.","contributorId":83434,"corporation":false,"usgs":true,"family":"Nogeire","given":"Theresa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Frank W.","contributorId":70273,"corporation":false,"usgs":true,"family":"Davis","given":"Frank W.","affiliations":[],"preferred":false,"id":484034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duggan, Jennifer M.","contributorId":55320,"corporation":false,"usgs":true,"family":"Duggan","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":484032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":484031,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70125966,"text":"70125966 - 2013 - Comparative phylogeography reveals deep lineages and regional evolutionary hotspots in the Mojave and Sonoran Deserts","interactions":[],"lastModifiedDate":"2014-09-18T12:55:06","indexId":"70125966","displayToPublicDate":"2013-07-01T12:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Comparative phylogeography reveals deep lineages and regional evolutionary hotspots in the Mojave and Sonoran Deserts","docAbstract":"Aim: We explored lineage diversification within desert-dwelling fauna. Our goals were (1) to determine whether phylogenetic lineages and population expansions were consistent with younger Pleistocene climate fluctuation hypotheses or much older events predicted by pre-Pleistocene vicariance hypotheses, (2) to assess concordance in spatial patterns of genetic divergence and diversity among species and (3) to identify regional evolutionary hotspots of divergence and diversity and assess their conservation status.
\nLocation: Mojave, Colorado, and Sonoran Deserts, USA.
\nMethods: We analysed previously published gene sequence data for twelve species. We used Bayesian gene tree methods to estimate lineages and divergence times. Within each lineage, we tested for population expansion and age of expansion using coalescent approaches. We mapped interpopulation genetic divergence and intra-population genetic diversity in a GIS to identify hotspots of highest genetic divergence and diversity and to assess whether protected lands overlapped with evolutionary hotspots.
\nResults: In seven of the 12 species, lineage divergence substantially predated the Pleistocene. Historical population expansion was found in eight species, but expansion events postdated the Last Glacial Maximum (LGM) in only four. For all species assessed, six hotspots of high genetic divergence and diversity were concentrated in the Colorado Desert, along the Colorado River and in the Mojave/Sonoran ecotone. At least some proportion of the land within each recovered hotspot was categorized as protected, yet four of the six also overlapped with major areas of human development.
\nMain conclusions: Most of the species studied here diversified into distinct Mojave and Sonoran lineages prior to the LGM – supporting older diversification hypotheses. Several evolutionary hotspots were recovered but are not strategically paired with areas of protected land. Long-term preservation of species-level biodiversity would entail selecting areas for protection in Mojave and Sonoran Deserts to retain divergent genetic diversity and ensure connectedness across environmental gradients.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diversity and Distributions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/ddi.12022","usgsCitation":"Wood, D.A., Vandergast, A.G., Barr, K.R., Inman, R.D., Esque, T., Nussear, K.E., and Fisher, R.N., 2013, Comparative phylogeography reveals deep lineages and regional evolutionary hotspots in the Mojave and Sonoran Deserts: Diversity and Distributions, v. 19, no. 7, p. 722-737, https://doi.org/10.1111/ddi.12022.","productDescription":"16 p.","startPage":"722","endPage":"737","numberOfPages":"16","ipdsId":"IP-041224","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473706,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12022","text":"Publisher Index Page"},{"id":294158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294151,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/ddi.12022"}],"country":"United States","otherGeospatial":"Colorado Desert;Mojave Desert;Sonoran Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.47,31.33 ], [ -119.47,37.78 ], [ -109.89,37.78 ], [ -109.89,31.33 ], [ -119.47,31.33 ] ] ] } } ] }","volume":"19","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-12-04","publicationStatus":"PW","scienceBaseUri":"541bf421e4b0e96537ddf668","contributors":{"authors":[{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":97617,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barr, Kelly R. kelly_barr@usgs.gov","contributorId":5628,"corporation":false,"usgs":true,"family":"Barr","given":"Kelly","email":"kelly_barr@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Inman, Richard D. rdinman@usgs.gov","contributorId":3316,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501810,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":3221,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501809,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501807,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70045485,"text":"70045485 - 2013 - Impacts on groundwater recharge areas of megacity pumping: analysis of potential contamination of Kolkata, India, water supply","interactions":[],"lastModifiedDate":"2016-12-14T11:28:40","indexId":"70045485","displayToPublicDate":"2013-07-01T12:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Impacts on groundwater recharge areas of megacity pumping: analysis of potential contamination of Kolkata, India, water supply","docAbstract":"Water supply to the world's megacities is a problem of quantity and quality that will be a priority in the coming decades. Heavy pumping of groundwater beneath these urban centres, particularly in regions with low natural topographic gradients, such as deltas and floodplains, can fundamentally alter the hydrological system. These changes affect recharge area locations, which may shift closer to the city centre than before development, thereby increasing the potential for contamination. Hydrogeological simulation analysis allows evaluation of the impact on past, present and future pumping for the region of Kolkata, India, on recharge area locations in an aquifer that supplies water to over 13 million people. Relocated recharge areas are compared with known surface contamination sources, with a focus on sustainable management of this urban groundwater resource. The study highlights the impacts of pumping on water sources for long-term development of stressed city aquifers and for future water supply in deltaic and floodplain regions of the world.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02626667.2013.813946","usgsCitation":"Sahu, P., Michael, H., Voss, C.I., and Sikdar, P.K., 2013, Impacts on groundwater recharge areas of megacity pumping: analysis of potential contamination of Kolkata, India, water supply: Hydrological Sciences Journal, v. 58, no. 6, p. 1340-1360, https://doi.org/10.1080/02626667.2013.813946.","productDescription":"21 p.","startPage":"1340","endPage":"1360","numberOfPages":"21","ipdsId":"IP-045041","costCenters":[{"id":439,"text":"National Research Program WR","active":false,"usgs":true}],"links":[{"id":473708,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02626667.2013.813946","text":"Publisher Index Page"},{"id":276124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276121,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02626667.2013.813946"}],"country":"India","state":"West Bengal","city":"Kolkata","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 88.193344,22.343566 ], [ 88.193344,23.008332 ], [ 88.542767,23.008332 ], [ 88.542767,22.343566 ], [ 88.193344,22.343566 ] ] ] } } ] }","volume":"58","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-07-12","publicationStatus":"PW","scienceBaseUri":"52021ae6e4b0e21cafa49c74","contributors":{"authors":[{"text":"Sahu, Paulami","contributorId":101553,"corporation":false,"usgs":true,"family":"Sahu","given":"Paulami","email":"","affiliations":[],"preferred":false,"id":477600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michael, Holly A.","contributorId":45998,"corporation":false,"usgs":true,"family":"Michael","given":"Holly A.","affiliations":[],"preferred":false,"id":477598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":477597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sikdar, Pradip K.","contributorId":89436,"corporation":false,"usgs":true,"family":"Sikdar","given":"Pradip","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":477599,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047601,"text":"70047601 - 2013 - Natural ecosystems","interactions":[],"lastModifiedDate":"2013-11-01T12:59:46","indexId":"70047601","displayToPublicDate":"2013-07-01T12:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Natural ecosystems","docAbstract":"Natural Ecosystems analyzes the association of observed changes in climate with changes in the geographic distributions and phenology (the timing of blossoms or migrations of birds) for Southwestern ecosystems and their species, portraying ecosystem disturbances—such as wildfires and outbreaks of forest pathogens—and carbon storage and release, in relation to climate change.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Assessment of climate change in the southwestern United States: a report prepared for the National Climate Assessment","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Island Press","publisherLocation":"Washington, D.C.","isbn":"9781610914468","usgsCitation":"Fleishman, E., Belnap, J., Cobb, N., Enquist, C., Ford, K., MacDonald, G., Pellant, M., Schoennagel, T., Schmit, L.M., Schwartz, M., van Drunick, S., Westerling, A.L., Keyser, A., and Lucas, R., 2013, Natural ecosystems, chap. of Assessment of climate change in the southwestern United States: a report prepared for the National Climate Assessment, p. 148-167.","productDescription":"20 p.","startPage":"148","endPage":"167","numberOfPages":"20","ipdsId":"IP-036356","costCenters":[{"id":568,"text":"Southwest Biological Science 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Mark","contributorId":106789,"corporation":false,"usgs":true,"family":"Schwartz","given":"Mark","affiliations":[],"preferred":false,"id":482501,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"van Drunick, Suzanne","contributorId":41322,"corporation":false,"usgs":true,"family":"van Drunick","given":"Suzanne","email":"","affiliations":[],"preferred":false,"id":482493,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Westerling, Anthony LeRoy","contributorId":13519,"corporation":false,"usgs":true,"family":"Westerling","given":"Anthony","email":"","middleInitial":"LeRoy","affiliations":[],"preferred":false,"id":482491,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Keyser, Alisa","contributorId":82608,"corporation":false,"usgs":true,"family":"Keyser","given":"Alisa","affiliations":[],"preferred":false,"id":482497,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lucas, Ryan","contributorId":65757,"corporation":false,"usgs":true,"family":"Lucas","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":482495,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70057585,"text":"70057585 - 2013 - Rivermouth alteration of agricultural impacts on consumer tissue δ15N","interactions":[],"lastModifiedDate":"2013-11-26T12:13:43","indexId":"70057585","displayToPublicDate":"2013-07-01T12:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Rivermouth alteration of agricultural impacts on consumer tissue δ15N","docAbstract":"Terrestrial agricultural activities strongly influence riverine nitrogen (N) dynamics, which is reflected in the δ15N of riverine consumer tissues. However, processes within aquatic ecosystems also influence consumer tissue δ15N. As aquatic processes become more important terrestrial inputs may become a weaker predictor of consumer tissue δ15N. In a previous study, this terrestrial-consumer tissue δ15N connection was very strong at river sites, but was disrupted by processes occurring in rivermouths (the ‘rivermouth effect’). This suggested that watershed indicators of N loading might be accurate in riverine settings, but could be inaccurate when considering N loading to the nearshore of large lakes and oceans. In this study, the rivermouth effect was examined on twenty-five sites spread across the Laurentian Great Lakes. Relationships between agriculture and consumer tissue δ15N occurred in both upstream rivers and at the outlets where rivermouths connect to the nearshore zone, but agriculture explained less variation and had a weaker effect at the outlet. These results suggest that rivermouths may sometimes be significant sources or sinks of N, which would cause N loading estimates to the nearshore zone that are typically made at discharge gages further upstream to be inaccurate. Identifying definitively the controls over the rivermouth effect on N loading (and other nutrients) will require integration of biogeochemical and hydrologic models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0069313","usgsCitation":"Larson, J.H., Richardson, W.B., Vallazza, J.M., and Nelson, J., 2013, Rivermouth alteration of agricultural impacts on consumer tissue δ15N: PLoS ONE, v. 8, no. 7, 8 p., https://doi.org/10.1371/journal.pone.0069313.","productDescription":"8 p.","numberOfPages":"8","ipdsId":"IP-042888","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":473709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0069313","text":"Publisher Index Page"},{"id":279800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279645,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0069313"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.38 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.38 ], [ -92.11,41.38 ] ] ] } } ] }","volume":"8","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"5295d12ae4b0becc369c8c95","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":486821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":486819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallazza, Jonathan M. jvallazza@usgs.gov","contributorId":3651,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":486820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, J. C. 0000-0002-7105-0107 jcnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-7105-0107","contributorId":459,"corporation":false,"usgs":true,"family":"Nelson","given":"J. C.","email":"jcnelson@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":486818,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70124303,"text":"70124303 - 2013 - Nest site characteristics and nesting success of the Western Burrowing Owl in the eastern Mojave Desert","interactions":[],"lastModifiedDate":"2014-09-11T11:41:34","indexId":"70124303","displayToPublicDate":"2013-07-01T11:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Nest site characteristics and nesting success of the Western Burrowing Owl in the eastern Mojave Desert","docAbstract":"We evaluated nest site selection at two spatial scales (microsite, territory) and reproductive success of Western Burrowing Owls (Athene cunicularia hypugaea) at three spatial scales (microsite, territory, landscape) in the eastern Mojave Desert. We used binary logistic regression within an information-theoretic approach to assess factors influencing nest site choice and nesting success. Microsite-scale variables favored by owls included burrows excavated by desert tortoise (Gopherus agassizii), burrows with a large mound of excavated soil at the entrance, and a greater number of satellite burrows within 5 m of the nest burrow. At the territory scale, owls preferred patches with greater cover of creosote bush (Larrea tridentata) within 50 m of the nest burrow. An interaction between the presence or absence of a calcic soil horizon layer over the top of the burrow (microsite) and the number of burrows within 50 m (territory) influenced nest site choice. Nesting success was influenced by a greater number of burrows within 5 m of the nest burrow. Total cool season precipitation was a predictor of nesting success at the landscape scale. Conservation strategies can rely on management of habitat for favored and productive nesting sites for this declining species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Arid Environments","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2013.03.004","usgsCitation":"Longshore, K., and Crowe, D.E., 2013, Nest site characteristics and nesting success of the Western Burrowing Owl in the eastern Mojave Desert: Journal of Arid Environments, v. 94, p. 113-120, https://doi.org/10.1016/j.jaridenv.2013.03.004.","productDescription":"8 p.","startPage":"113","endPage":"120","numberOfPages":"8","ipdsId":"IP-009777","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293683,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jaridenv.2013.03.004"}],"country":"United States","state":"Arizona;Nevada","otherGeospatial":"Colorado River;Lake Mead National Recreation Area;Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.9219,35.1716 ], [ -114.9219,36.5914 ], [ -113.1359,36.5914 ], [ -113.1359,35.1716 ], [ -114.9219,35.1716 ] ] ] } } ] }","volume":"94","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412b9b4e4b0239f1986babc","contributors":{"authors":[{"text":"Longshore, Kathleen M.","contributorId":100768,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen M.","affiliations":[],"preferred":false,"id":500686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crowe, Dorothy E. dcrowe@usgs.gov","contributorId":3969,"corporation":false,"usgs":true,"family":"Crowe","given":"Dorothy","email":"dcrowe@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":500685,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047249,"text":"70047249 - 2013 - Phenology monitoring protocol: Northeast Temperate Network","interactions":[],"lastModifiedDate":"2014-06-20T14:17:54","indexId":"70047249","displayToPublicDate":"2013-07-01T11:36:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":271,"text":"National Park Service Natural Resource Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NPS/NETN/NRR—2013/681","title":"Phenology monitoring protocol: Northeast Temperate Network","docAbstract":"Phenology is critical to many aspects of human life and nearly all ecological relationships and\nprocesses. Recent climate change has already led to widespread changes in phenological patterns\nacross the globe, and more change is inevitable. This protocol has been developed to provide\nstandardized methods for monitoring phenology within the National Park Service (NPS)\nNortheast Temperate Network (NETN), as part of the NPS Inventory and Monitoring Program\n(I&M). NETN encompasses the Appalachian National Scenic Trail (APPA), Acadia National\nPark (ACAD), the Boston Harbor Islands National Recreation Area (BOHA), and 10 national\nhistorical parks and national historic sites in the northeastern US.
\nThis protocol was developed in collaboration with and relies upon the procedures and infrastructure of the USA National Phenology Network (USA-NPN), including Nature’s Notebook, USA-NPN’s online plant and animal phenology observation program (www.nn.usanpn.org). Organized in 2007, USA-NPN is a nation-wide partnership among federal agencies, schools and universities, citizen volunteers, and others to monitor and understand the influence of seasonal cycles on the nation’s biological resources.
\nThe overall goal of NETN’s phenology monitoring program is to determine trends in the phenology of key species in order to assist park managers with the detection and mitigation of the effects of climate change on park resources. An additional programmatic goal is to interest and educate park visitors and staff, as well as a cadre of volunteer monitors.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Tierney, G., Mitchell, B., Miller-Rushing, A., Katz, J., Denny, E., Brauer, C., Donovan, T., Richardson, A., Toomey, M., Kozlowski, A., Weltzin, J., Gerst, K., Sharron, E., Sonnentag, O., and Dieffenbach, F., 2013, Phenology monitoring protocol: Northeast Temperate Network: National Park Service Natural Resource Report NPS/NETN/NRR—2013/681, xiv, 254 p.","productDescription":"xiv, 254 p.","numberOfPages":"272","ipdsId":"IP-045458","costCenters":[{"id":611,"text":"Vermont Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":279173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275449,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2197242"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.55,40.2 ], [ -76.55,47.49 ], [ -66.88,47.49 ], [ -66.88,40.2 ], [ -76.55,40.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96b6e4b0c629af44ddd9","contributors":{"authors":[{"text":"Tierney, Geri","contributorId":30534,"corporation":false,"usgs":true,"family":"Tierney","given":"Geri","email":"","affiliations":[],"preferred":false,"id":481504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Brian","contributorId":71472,"corporation":false,"usgs":true,"family":"Mitchell","given":"Brian","affiliations":[],"preferred":false,"id":481511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller-Rushing, Abraham J.","contributorId":103561,"corporation":false,"usgs":true,"family":"Miller-Rushing","given":"Abraham J.","affiliations":[],"preferred":false,"id":481514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katz, Jonathan","contributorId":8370,"corporation":false,"usgs":true,"family":"Katz","given":"Jonathan","affiliations":[],"preferred":false,"id":481502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Denny, Ellen","contributorId":44822,"corporation":false,"usgs":true,"family":"Denny","given":"Ellen","affiliations":[],"preferred":false,"id":481507,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brauer, Corinne","contributorId":66587,"corporation":false,"usgs":true,"family":"Brauer","given":"Corinne","email":"","affiliations":[],"preferred":false,"id":481510,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Donovan, Therese","contributorId":49692,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","affiliations":[],"preferred":false,"id":481509,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richardson, Andrew D.","contributorId":105199,"corporation":false,"usgs":true,"family":"Richardson","given":"Andrew D.","affiliations":[],"preferred":false,"id":481515,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Toomey, Michael","contributorId":81788,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","affiliations":[],"preferred":false,"id":481512,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kozlowski, Adam","contributorId":32074,"corporation":false,"usgs":true,"family":"Kozlowski","given":"Adam","email":"","affiliations":[],"preferred":false,"id":481505,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weltzin, Jake F. jweltzin@usgs.gov","contributorId":296,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":481501,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gerst, Kathy","contributorId":47279,"corporation":false,"usgs":true,"family":"Gerst","given":"Kathy","email":"","affiliations":[],"preferred":false,"id":481508,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sharron, Ed","contributorId":81789,"corporation":false,"usgs":true,"family":"Sharron","given":"Ed","email":"","affiliations":[],"preferred":false,"id":481513,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sonnentag, Oliver","contributorId":32441,"corporation":false,"usgs":true,"family":"Sonnentag","given":"Oliver","affiliations":[],"preferred":false,"id":481506,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Dieffenbach, Fred","contributorId":19433,"corporation":false,"usgs":true,"family":"Dieffenbach","given":"Fred","email":"","affiliations":[],"preferred":false,"id":481503,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70148153,"text":"70148153 - 2013 - Relationships between river discharge and abundance of age 0 redhorses (Moxostoma spp.) in the Oconee River, Georgia, USA, with implications for robust redhorse","interactions":[],"lastModifiedDate":"2015-05-22T10:33:32","indexId":"70148153","displayToPublicDate":"2013-07-01T11:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between river discharge and abundance of age 0 redhorses (Moxostoma spp.) in the Oconee River, Georgia, USA, with implications for robust redhorse","docAbstract":"Robust redhorse (Moxostoma robustum) and notchlip redhorse (M. collapsum) are two species of redhorses that reside in the lower Oconee River, Georgia. Robust redhorse is listed as a state endangered species in Georgia and North Carolina, and attempts to investigate factors affecting its reproductive success have met with limited success. Therefore, catch of robust redhorse young were combined with catch of notchlip redhorse to increase sample size. These congeners with similar spawning repertoire were assumed to respond similarly to environmental conditions. River discharge during spawning and rearing seasons may affect abundance of both redhorses in the lower Oconee River. An information-theoretic approach was used to evaluate the relative support of models relating abundance of age 0 redhorses to monthly discharge statistics that represented magnitude, timing, duration, variability and frequency of river discharge events for April through June 1995–2006. The best-approximating model indicated a negative relationship between the abundance of redhorses and mean maximum river discharge and the number of high pulses during June as well as a positive relationship with intermediate duration of low flows during April–June. This model is 9.6 times more plausible than the next best-fitting model, which revealed a negative relationship between the abundance of redhorses and mean maximum river discharge during May and the number of high pulses during June as well as a positive relationship between abundance and intermediate duration of low flows during April–June. Management implications from the results indicate low-stable flows for at least a 2-week period during spawning and rearing may increase reproductive success of robust and notchlip redhorses.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"John Wiley & Sons","doi":"10.1002/rra.2566","usgsCitation":"Peterson, R., Jennings, C.A., and Peterson, J., 2013, Relationships between river discharge and abundance of age 0 redhorses (Moxostoma spp.) in the Oconee River, Georgia, USA, with implications for robust redhorse: River Research and Applications, v. 29, no. 6, p. 734-742, https://doi.org/10.1002/rra.2566.","productDescription":"9 p.","startPage":"734","endPage":"742","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020815","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473710,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.2566","text":"Publisher Index Page"},{"id":300698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2012-03-17","publicationStatus":"PW","scienceBaseUri":"55605332e4b0afeb7072417e","contributors":{"authors":[{"text":"Peterson, R.","contributorId":69773,"corporation":false,"usgs":true,"family":"Peterson","given":"R.","affiliations":[],"preferred":false,"id":547492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, J.T.","contributorId":30170,"corporation":false,"usgs":true,"family":"Peterson","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":547493,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048579,"text":"70048579 - 2013 - Delivering integrated HAZUS-MH flood loss analyses and flood inundation maps over the Web","interactions":[],"lastModifiedDate":"2013-10-24T11:17:54","indexId":"70048579","displayToPublicDate":"2013-07-01T11:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2246,"text":"Journal of Emergency Management","active":true,"publicationSubtype":{"id":10}},"title":"Delivering integrated HAZUS-MH flood loss analyses and flood inundation maps over the Web","docAbstract":"Catastrophic flooding is responsible for more loss of life and damages to property than any other natural hazard. Recently developed flood inundation mapping technologies make it possible to view the extent and depth of flooding on the land surface over the Internet; however, by themselves these technologies are unable to provide estimates of losses to property and infrastructure. The Federal Emergency Management Agency’s (FEMA's) HAZUS-MH software is extensively used to conduct flood loss analyses in the United States, providing a nationwide database of population and infrastructure at risk. Unfortunately, HAZUS-MH requires a dedicated Geographic Information System (GIS) workstation and a trained operator, and analyses are not adapted for convenient delivery over the Web. This article describes a cooperative effort by the US Geological Survey (USGS) and FEMA to make HAZUS-MH output GIS and Web compatible and to integrate these data with digital flood inundation maps in USGS’s newly developed Inundation Mapping Web Portal. By running the computationally intensive HAZUS-MH flood analyses offline and converting the output to a Web-GIS compatible format, detailed estimates of flood losses can now be delivered to anyone with Internet access, thus dramatically increasing the availability of these forecasts to local emergency planners and first responders.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Emergency Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Prime National Publication Corporation","doi":"10.5055/jem.2013.0145","usgsCitation":"Hearn, Longenecker, H.E., Aguinaldo, J.J., and Rahav, A.N., 2013, Delivering integrated HAZUS-MH flood loss analyses and flood inundation maps over the Web: Journal of Emergency Management, v. 11, no. 4, p. 293-302, https://doi.org/10.5055/jem.2013.0145.","productDescription":"10 p.","startPage":"293","endPage":"302","numberOfPages":"10","ipdsId":"IP-039135","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":278377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278373,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5055/jem.2013.0145"}],"volume":"11","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-02-16","publicationStatus":"PW","scienceBaseUri":"526a416fe4b0c0d229f9f66b","contributors":{"authors":[{"text":"Hearn, Jr. phearn@usgs.gov","contributorId":1950,"corporation":false,"usgs":true,"family":"Hearn","suffix":"Jr.","email":"phearn@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":485124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Longenecker, Herbert E. III","contributorId":105217,"corporation":false,"usgs":true,"family":"Longenecker","given":"Herbert","suffix":"III","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":485127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aguinaldo, John J.","contributorId":73287,"corporation":false,"usgs":true,"family":"Aguinaldo","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rahav, Ami N. arahav@usgs.gov","contributorId":69463,"corporation":false,"usgs":true,"family":"Rahav","given":"Ami","email":"arahav@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":false,"id":485125,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048520,"text":"70048520 - 2013 - Rebuilding after collapse: evidence for long-term cohort dynamics in the native Hawaiian rain forest","interactions":[],"lastModifiedDate":"2013-11-15T10:25:05","indexId":"70048520","displayToPublicDate":"2013-07-01T11:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Rebuilding after collapse: evidence for long-term cohort dynamics in the native Hawaiian rain forest","docAbstract":"Questions: Do long-term observations in permanent plots confirm the conceptual model of Metrosideros polymorpha cohort dynamics as postulated in 1987? Do regeneration patterns occur independently of substrate age, i.e. of direct volcanic disturbance impact?\n\nLocation: The windward mountain slopes of the younger Mauna Loa and the older Mauna Kea volcanoes (island of Hawaii, USA).\n\nMethods: After widespread forest decline (dieback), permanent plots were established in 1976 in 13 dieback and 13 non-dieback patches to monitor the population structure of M. polymorpha at ca. 5-yr intervals. Within each plot of 20 × 20 m, all trees with DBH >2.5 cm were individually tagged, measured and tree vigour assessed; regeneration was quantified in 16 systematically placed subplots of 3 × 5 m. Data collected in the subplots included the total number of M. polymorpha seedlings and saplings (five stem height classes). Here we analyse monitoring data from six time steps from 1976 to 2003 using repeated measures ANOVA to test specific predictions derived from the 1987 conceptual model.\n\nResults: Regeneration was significantly different between dieback and non-dieback plots. In dieback plots, the collapse in the 1970s was followed by a ‘sapling wave’ that by 2003 led to new cohort stands of M. polymorpha. In non-dieback stands, seedling emergence did not result in sapling waves over the same period. Instead, a ‘sapling gap’ (i.e. very few or no M. polymorpha saplings) prevailed as typical for mature stands. Canopy dieback in 1976, degree of recovery by 2003 and the number of living trees in 2003 were unrelated to substrate age.\n\nConclusions: Population development of M. polymorpha supports the cohort dynamics model, which predicts rebuilding of the forest with the same canopy species after dieback. The lack of association with substrate age suggests that the long-term maintenance of cohort structure in M. polymorpha does not depend on volcanic disturbance but may be related to other environmental mechanisms, such as climate anomalies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Vegetation Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jvs.12000","usgsCitation":"Boehmer, H., Wagner, H.H., Jacobi, J.D., Gerrish, G.C., and Mueller-Dombois, D., 2013, Rebuilding after collapse: evidence for long-term cohort dynamics in the native Hawaiian rain forest: Journal of Vegetation Science, v. 24, no. 4, p. 639-650, https://doi.org/10.1111/jvs.12000.","productDescription":"12 p.","startPage":"639","endPage":"650","numberOfPages":"12","ipdsId":"IP-026370","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":473711,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/75550","text":"External Repository"},{"id":278376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278375,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jvs.12000"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.707,19.1549 ], [ -155.707,20.1673 ], [ -154.8068,20.1673 ], [ -154.8068,19.1549 ], [ -155.707,19.1549 ] ] ] } } ] }","volume":"24","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-11-27","publicationStatus":"PW","scienceBaseUri":"526a4174e4b0c0d229f9f6ae","contributors":{"authors":[{"text":"Boehmer, Hans Juergen","contributorId":45996,"corporation":false,"usgs":true,"family":"Boehmer","given":"Hans Juergen","affiliations":[],"preferred":false,"id":484938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Helene H.","contributorId":12309,"corporation":false,"usgs":true,"family":"Wagner","given":"Helene","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":484937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":484936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerrish, Grant C.","contributorId":69049,"corporation":false,"usgs":true,"family":"Gerrish","given":"Grant","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":484939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mueller-Dombois, Dieter","contributorId":100730,"corporation":false,"usgs":true,"family":"Mueller-Dombois","given":"Dieter","affiliations":[],"preferred":false,"id":484940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046110,"text":"70046110 - 2013 - Evaluating chemical extraction techniques for the determination of uranium oxidation state in reduced aquifer sediments","interactions":[],"lastModifiedDate":"2013-11-08T10:59:37","indexId":"70046110","displayToPublicDate":"2013-07-01T10:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating chemical extraction techniques for the determination of uranium oxidation state in reduced aquifer sediments","docAbstract":"Extraction techniques utilizing high pH and (bi)carbonate concentrations were evaluated for their efficacy in determining the oxidation state of uranium (U) in reduced sediments collected from Rifle, CO. Differences in dissolved concentrations between oxic and anoxic extractions have been proposed as a means to quantify the U(VI) and U(IV) content of sediments. An additional step was added to anoxic extractions using a strong anion exchange resin to separate dissolved U(IV) and U(VI). X-ray spectroscopy showed that U(IV) in the sediments was present as polymerized precipitates similar to uraninite and/or less ordered U(IV), referred to as non-uraninite U(IV) species associated with biomass (NUSAB). Extractions of sediment containing both uraninite and NUSAB displayed higher dissolved uranium concentrations under oxic than anoxic conditions while extractions of sediment dominated by NUSAB resulted in identical dissolved U concentrations. Dissolved U(IV) was rapidly oxidized under anoxic conditions in all experiments. Uraninite reacted minimally under anoxic conditions but thermodynamic calculations show that its propensity to oxidize is sensitive to solution chemistry and sediment mineralogy. A universal method for quantification of U(IV) and U(VI) in sediments has not yet been developed but the chemical extractions, when combined with solid-phase characterization, have a narrow range of applicability for sediments without U(VI).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es401450v","usgsCitation":"Stoliker, D., Campbell, K.M., Fox, P.M., Singer, D.M., Kaviani, N., Carey, M., Peck, N.E., Barger, J.R., Kent, D.B., and Davis, J., 2013, Evaluating chemical extraction techniques for the determination of uranium oxidation state in reduced aquifer sediments: Environmental Science & Technology, v. 47, no. 16, p. 9225-9232, https://doi.org/10.1021/es401450v.","productDescription":"8 p.","startPage":"9225","endPage":"9232","numberOfPages":"8","ipdsId":"IP-045938","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":278965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278964,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es401450v"}],"country":"United States","state":"Colorado","city":"Rifle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.847185,39.514915 ], [ -107.847185,39.574777 ], [ -107.722629,39.574777 ], [ -107.722629,39.514915 ], [ -107.847185,39.514915 ] ] ] } } ] }","volume":"47","issue":"16","noUsgsAuthors":false,"publicationDate":"2013-08-01","publicationStatus":"PW","scienceBaseUri":"527e586ae4b02d2057dd95d8","contributors":{"authors":[{"text":"Stoliker, Deborah L. dlstoliker@usgs.gov","contributorId":2954,"corporation":false,"usgs":true,"family":"Stoliker","given":"Deborah L.","email":"dlstoliker@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":478940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":478938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, Patricia M.","contributorId":100276,"corporation":false,"usgs":true,"family":"Fox","given":"Patricia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":478947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singer, David M.","contributorId":53278,"corporation":false,"usgs":true,"family":"Singer","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":478944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaviani, Nazila","contributorId":40491,"corporation":false,"usgs":true,"family":"Kaviani","given":"Nazila","email":"","affiliations":[],"preferred":false,"id":478943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carey, Minna","contributorId":26959,"corporation":false,"usgs":true,"family":"Carey","given":"Minna","email":"","affiliations":[],"preferred":false,"id":478942,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peck, Nicole E.","contributorId":75426,"corporation":false,"usgs":true,"family":"Peck","given":"Nicole","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":478946,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barger, John R.","contributorId":22669,"corporation":false,"usgs":true,"family":"Barger","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":478941,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":478939,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Davis, James A.","contributorId":69289,"corporation":false,"usgs":true,"family":"Davis","given":"James A.","affiliations":[],"preferred":false,"id":478945,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70046137,"text":"70046137 - 2013 - Ambient response of a unique performance-based design tall building with dynamic response modification features","interactions":[],"lastModifiedDate":"2022-03-24T16:52:46.990686","indexId":"70046137","displayToPublicDate":"2013-07-01T10:53:31","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10523,"text":"The Structural Design of Tall and Special Buildings","onlineIssn":"1541-7808","active":true,"publicationSubtype":{"id":10}},"title":"Ambient response of a unique performance-based design tall building with dynamic response modification features","docAbstract":"A 64-story, performance-based design building with reinforced concrete core shear walls and unique dynamic response modification features (tuned liquid sloshing dampers and buckling-restrained braces) has been instrumented with a monitoring array of 72 channels of accelerometers. The responses of the building to ambient motions from ground or wind were recorded and analyzed to identify modes and associated frequencies and damping. Not unexpectedly, the low-amplitude dynamic characteristics are considerably different than those computed from design analyses. Nonetheless, these computed values serve as a baseline against which to compare future strong shaking responses. Such studies help to improve our understanding of the effectiveness of the response modification features at various levels of shaking, to evaluate the predictive capabilities of the design analysis tools and to improve similar designs in the future.