Director,
Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, NV 89701
The preceding article by C. B. Griffin examines the differences in recommended camping distance from waterbodies from a perspective that there should be consistency between the guidance provided by land management agencies and low impact education and communication programs, such as Leave No Trace and Tread Lightly. We concur that regulatory and messaging consistency is a beneficial mutual goal and suggest that it’s time to reexamine the biophysical and social scientific basis for such guidance, historical precedents, alternative management options, and where there are needs for flexibility. We also identify possible additional research needs and suggest alternative actions based on the current body of research.
","language":"English","publisher":"WILD Foundation","usgsCitation":"Marion, J.L., Wimpey, J., and Lawhorn, B., 2018, Conflicting messages about camping near waterbodies in wilderness: A review of the scientific basis and need for flexibility: International Journal of Wilderness, v. 24, no. 2, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-098643","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":357445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357381,"type":{"id":15,"text":"Index Page"},"url":"https://ijw.org/2018-conflicting-messages-about-camping-near-waterbodies-in-wilderness/"}],"volume":"24","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02fa2e4b0fc368eb53941","contributors":{"authors":[{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":745186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wimpey, Jeremy","contributorId":189354,"corporation":false,"usgs":false,"family":"Wimpey","given":"Jeremy","affiliations":[],"preferred":false,"id":745188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawhorn, Ben","contributorId":207913,"corporation":false,"usgs":false,"family":"Lawhorn","given":"Ben","email":"","affiliations":[{"id":37663,"text":"Leave No Trace Center for Outdoor Ethics","active":true,"usgs":false}],"preferred":false,"id":745187,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197935,"text":"70197935 - 2018 - When oil and water mix: Understanding the environmental impacts of shale development","interactions":[],"lastModifiedDate":"2018-09-26T12:34:03","indexId":"70197935","displayToPublicDate":"2018-09-03T12:33:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1728,"text":"GSA Today","active":true,"publicationSubtype":{"id":10}},"title":"When oil and water mix: Understanding the environmental impacts of shale development","docAbstract":"Development of shale gas and tight oil, or unconventional oil and gas (UOG), has dramatically increased domestic energy production in the U.S. UOG resources are typically developed through the use of hydraulic fracturing, which creates high-permeability flow paths into large volumes of tight rocks to provide a means for hydrocarbons to move to a wellbore. This process uses significant volumes of water, sand, and chemicals, raising concerns about risks to the environment and to human health. Researchers in various disciplines have been working to make UOG development more efficient, and to better understand the risks to air quality, water quality, landscapes, human health, and ecosystems. Risks to air include releases of methane, carbon dioxide, volatile organic compounds, and particulate matter. Water-resource risks include excessive withdrawals, stray gas in drinking-water aquifers, and surface spills of fluids or chemicals. Landscapes can be significantly altered by the infrastructure installed to support large drilling platforms and associated equipment. Exposure routes, fate and transport, and toxicology of chemicals used in the hydraulic fracturing process are poorly understood, as are the potential effects on terrestrial and aquatic ecosystems and human health. This is made all the more difficult by an adaptable and evolving industry that frequently changes methods and constantly introduces new chemicals. Geoscientists responding to questions about the risks of UOG should refer to recent, rigorous scientific research.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GSATG361A.1","usgsCitation":"Soeder, D.J., and Kent, D.B., 2018, When oil and water mix: Understanding the environmental impacts of shale development: GSA Today, v. 28, p. 4-10, https://doi.org/10.1130/GSATG361A.1.","productDescription":"6 p.","startPage":"4","endPage":"10","ipdsId":"IP-091326","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":488081,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/gsatg361a.1","text":"Publisher Index Page"},{"id":357776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-03","publicationStatus":"PW","scienceBaseUri":"5bc02fa2e4b0fc368eb53945","contributors":{"authors":[{"text":"Soeder, Daniel J.","contributorId":70040,"corporation":false,"usgs":true,"family":"Soeder","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":739233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":739234,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199110,"text":"70199110 - 2018 - Exploring the impacts of seagrass on coupled marsh-tidal flat morphodynamics","interactions":[],"lastModifiedDate":"2018-09-05T10:31:25","indexId":"70199110","displayToPublicDate":"2018-09-03T10:31:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the impacts of seagrass on coupled marsh-tidal flat morphodynamics","docAbstract":"Intertidal coastal environments are prone to changes induced by sea level rise, increases in storminess, temperature, and anthropogenic disturbances. It is unclear how changes in external drivers may affect the dynamics of low energy coastal environments because their response is non-linear, and characterized by many thresholds and discontinuities. As such, process-based modeling of the ecogeomorphic processes underlying the dynamics of these ecosystems is useful, not only to predict their change through time, but also to generate new hypotheses and research questions. Here, we used a three-point dynamic model to investigate how seagrass might affect the behavior of coupled marsh-tidal flat systems. The model directly incorporates ecogeomorphological feedbacks among wind waves, salt marsh vegetation, allochthonous sediment loading, seagrasses and sea level rise. The model was applied to examine potential behaviors of salt marsh systems in the Virginia coastal bays. Differences due to the presence or absence of seagrass and stochastic vs. constant drivers lead to the emergence of complex behaviors in the coupled salt marsh-tidal flat system. In intertidal areas without seagrass, small tidal flats are unlikely to expand and provide enough sediment to the salt marshes to combat sea level rise. However, as the tidal flat expands, the concurrent increase in sediment supply due to wave-induced processes allows for the salt marsh to maintain pace with sea level at the expense of salt marsh extent. The presence of seagrass has two effects: (1) it decreases near bed shear stresses thus reducing the sediment flux to the salt marsh platform; (2) it reduces the wave energy acting on the salt marsh scarp, thus reducing boundary erosion. Model results indicate that the reductions in wave power and near bed shear stresses when seagrass is present provide an overall stabilizing effect on the coupled marsh-tidal flat system; but as water depth increases due to sea level rise or as external sediment supply increases, light conditions decline and the system reverts to that of a bare tidal flat.
","language":"English","publisher":"Frontiers","doi":"10.3389/fenvs.2018.00092","usgsCitation":"Carr, J., Mariotti, G., Fahgerazzi, S., McGlathery, K., and Wiberg, P., 2018, Exploring the impacts of seagrass on coupled marsh-tidal flat morphodynamics: Frontiers in Environmental Science, v. 6, p. 1-16, https://doi.org/10.3389/fenvs.2018.00092.","productDescription":"Article 92; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-098569","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468447,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2018.00092","text":"Publisher Index Page"},{"id":357079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-03","publicationStatus":"PW","scienceBaseUri":"5b98a26ae4b0702d0e842e88","contributors":{"authors":[{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":744130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mariotti, Giulio","contributorId":207541,"corporation":false,"usgs":false,"family":"Mariotti","given":"Giulio","email":"","affiliations":[{"id":37557,"text":"Louisiana State University, Baton Rouge LA","active":true,"usgs":false}],"preferred":false,"id":744131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fahgerazzi, Sergio","contributorId":207542,"corporation":false,"usgs":false,"family":"Fahgerazzi","given":"Sergio","email":"","affiliations":[{"id":37558,"text":"Boston University, Boston MA","active":true,"usgs":false}],"preferred":false,"id":744132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGlathery, Karen","contributorId":207543,"corporation":false,"usgs":false,"family":"McGlathery","given":"Karen","email":"","affiliations":[{"id":37559,"text":"University of Virginia, Charlottesville, VA","active":true,"usgs":false}],"preferred":false,"id":744133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiberg, Patricia","contributorId":207544,"corporation":false,"usgs":false,"family":"Wiberg","given":"Patricia","affiliations":[{"id":37559,"text":"University of Virginia, Charlottesville, VA","active":true,"usgs":false}],"preferred":false,"id":744134,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198619,"text":"70198619 - 2018 - Interstate water management of a “hidden” resource - Physical principles of groundwater hydrology","interactions":[],"lastModifiedDate":"2018-09-02T18:11:20","indexId":"70198619","displayToPublicDate":"2018-09-02T18:11:15","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Interstate water management of a “hidden” resource - Physical principles of groundwater hydrology","docAbstract":"Groundwater systems are dynamic geologic environments in which water continuously flows from recharge areas to discharge areas at streams, springs, wetlands, coastal waters, and wells. Natural, predevelopment conditions within groundwater systems are changed by the introduction of wells and other human stresses that modify existing groundwater levels, flow paths, and hydrologic budgets. Groundwater serves the Nation as an important water supply, but in some instances such stresses can have adverse impacts that include excessive ground water-level declines, aquifer-storage reductions, and streamflow depletions. Many of the Nation’s aquifer systems extend over thousands of square miles and their hydrologic boundaries may be distant from jurisdictional boundaries that can be the focus of groundwater disputes. Effective interstate management of groundwater resources is benefited by an understanding of the regional-scale controls that affect groundwater conditions at the local scale. Numerical models are the most effective approach for accounting for all of the relevant hydrologic processes that affect groundwater systems and their response to natural and manmade stresses. This paper provides a brief background on some of the basic principles of groundwater hydrology that are relevant to interstate management of this important natural resource.
","conferenceTitle":"34th Water Law Conference","conferenceDate":"March 29-30, 2016","conferenceLocation":"Austin, TX","language":"English","publisher":"American Bar Association Section of Environment, Energy, and Resources","usgsCitation":"Barlow, P.M., 2018, Interstate water management of a “hidden” resource - Physical principles of groundwater hydrology, 34th Water Law Conference, Austin, TX, March 29-30, 2016, 9 p.","productDescription":"9 p.","ipdsId":"IP-072301","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":357022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a26ae4b0702d0e842e8c","contributors":{"authors":[{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":742190,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70199090,"text":"70199090 - 2018 - Key morphological features favor the success of nonnative fish species under reduced turbidity conditions in the lower Colorado River Basin","interactions":[],"lastModifiedDate":"2018-09-20T16:20:08","indexId":"70199090","displayToPublicDate":"2018-09-02T17:55:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Key morphological features favor the success of nonnative fish species under reduced turbidity conditions in the lower Colorado River Basin","docAbstract":"As a result of anthropomorphic alterations to the lower Colorado River basin and other southwestern rivers, water turbidity has been greatly reduced and introduced, nonnative fishes thrive in these waterways. To quantify key morphological features that may allow nonnative fishes to displace native fishes, we compared eye diameter (a proxy for visual acuity) and maximum anatomical gape (a proxy for maximum prey size) in native and nonnative fishes of the lower Colorado River basin. In general, nonnative fishes have larger eyes and larger gapes relative to native fishes. Native invertivorous and piscivorous fishes may be at a particular disadvantage when compared with nonnative species from the same trophic guild because native midwater predators have proportionally smaller eyes and mouths. In the historically turbid conditions of the Colorado River, native fish likely had a limited ability to use vision to locate prey and avoid predators. Similarly, native fishes could not identify potential food items from a distance in turbid waters so suction‐based prey capture (where the predator is in close proximity to the prey) may have been favored over ram‐based prey capture (where fish swim from a distance to overtake prey). Many nonnative fish species have a large eye diameter and maximum anatomical gape; these features likely facilitate their ability to visually identify and capture large, elusive prey. These results suggest that the large eyes and large gapes of nonnative fishes make them superior predators and competitors in the clear, anthropomorphically altered southwestern rivers of the USA.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10079","usgsCitation":"Moran, C.J., Ward, D.L., and Gibb, A.C., 2018, Key morphological features favor the success of nonnative fish species under reduced turbidity conditions in the lower Colorado River Basin: Transactions of the American Fisheries Society, v. 147, no. 5, p. 948-958, https://doi.org/10.1002/tafs.10079.","productDescription":"11 p.","startPage":"948","endPage":"958","ipdsId":"IP-073967","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":357021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Colorado River Basin","volume":"147","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-21","publicationStatus":"PW","scienceBaseUri":"5b98a26be4b0702d0e842e8e","contributors":{"authors":[{"text":"Moran, Clinton J.","contributorId":207520,"corporation":false,"usgs":false,"family":"Moran","given":"Clinton","email":"","middleInitial":"J.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":744030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibb, Alice C.","contributorId":207521,"corporation":false,"usgs":false,"family":"Gibb","given":"Alice","email":"","middleInitial":"C.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":744031,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199087,"text":"70199087 - 2018 - Thresholds and relations for soil‐hydraulic and soil‐physical properties as a function of burn severity 4 years after the 2011 Las Conchas Fire, New Mexico, USA","interactions":[],"lastModifiedDate":"2018-09-01T20:00:48","indexId":"70199087","displayToPublicDate":"2018-09-01T20:00:41","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Thresholds and relations for soil‐hydraulic and soil‐physical properties as a function of burn severity 4 years after the 2011 Las Conchas Fire, New Mexico, USA","docAbstract":"Wildfire effects on soil‐physical and ‐hydraulic properties as a function of burn severity are poorly characterized, especially several years after wildfire. A stratified random sampling approach was used in 2015 to sample seven sites representing a spectrum of remotely sensed burn severity in the area impacted by the 2011 Las Conchas Fire in New Mexico, USA. Replicate samples from each site were analysed in the laboratory. Linear and linear indicator regression were used to assess thresholds in soil‐physical and ‐hydraulic properties and functional relations with remotely sensed burn severity. Significant thresholds were present for initial soil‐water content (θi) at 0–6 cm depth between the change in the Normalized Burn Ratio (dNBR) equal to 618–802, for bulk density (ρb) at 3–6 cm between dNBR equal to 416–533, for gravel fraction at 0–1 cm between dNBR equal to 416–533, for fines (the silt + clay fraction) at 0–1 cm for dNBR equal to 416–533, and for fines at 3–6 cm for dNBR equal to 293–416. Significant linear relations with dNBR were present between ρb at 0–1 cm, loss on ignition (LOI) at 0–1 cm, gravel fraction at 0–1 cm, and the large organic fraction at 1–3 cm. No thresholds or effects on soil‐hydraulic properties of field‐saturated hydraulic conductivity or sorptivity were observed. These results suggest that ρb and LOI at 0–1 cm have residual direct impacts from the wildfire heat impulse. The θi threshold is most likely from delayed groundcover/vegetation recovery that increases evaporation at the highest burn severity sites. Gravel and silt + clay thresholds at 0–1 cm at the transition to high burn severity suggest surface gravel lag development from hydraulic erosion. Thresholds in ρb from 3 to 6 cm and in silt + clay fraction from 3 to 6 cm appear to be the result of soil variability between sites rather than wildfire impacts. This work suggests that gravel‐rich soils may have increased resilience to sustained surface runoff generation and erosion following wildfire, with implications for assessments of postwildfire hydrologic and erosion recovery potential.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13167","usgsCitation":"Ebel, B.A., Romero, O.C., and Martin, D.A., 2018, Thresholds and relations for soil‐hydraulic and soil‐physical properties as a function of burn severity 4 years after the 2011 Las Conchas Fire, New Mexico, USA: Hydrological Processes, v. 32, no. 14, p. 2263-2278, https://doi.org/10.1002/hyp.13167.","productDescription":"16 p.","startPage":"2263","endPage":"2278","ipdsId":"IP-089035","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":357011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","volume":"32","issue":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-20","publicationStatus":"PW","scienceBaseUri":"5b98a26be4b0702d0e842e96","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":744007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romero, Orlando C. 0000-0003-0162-0239 ocromero@usgs.gov","orcid":"https://orcid.org/0000-0003-0162-0239","contributorId":5077,"corporation":false,"usgs":true,"family":"Romero","given":"Orlando","email":"ocromero@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Deborah A. 0000-0001-8237-0838 damartin@usgs.gov","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":168662,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah","email":"damartin@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":744009,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199088,"text":"70199088 - 2018 - Field and laboratory hydraulic characterization of landslide-prone soils in the Oregon Coast Range and implications for hydrologic simulation","interactions":[],"lastModifiedDate":"2020-10-22T19:48:10.063873","indexId":"70199088","displayToPublicDate":"2018-09-01T17:41:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Field and laboratory hydraulic characterization of landslide-prone soils in the Oregon Coast Range and implications for hydrologic simulation","docAbstract":"Unsaturated zone flow processes are an important focus of landslide hazard estimation. Differences in soil hydraulic behavior between wetting and drying conditions (i.e., hydraulic hysteresis) may be important in landslide triggering. Hydraulic hysteresis can complicate soil hydraulic parameter estimates and impact prediction capability. This investigation focused on hydraulic property estimation for soil in a landslide‐prone area where the relative importance of hysteresis is unclear. Laboratory measurements of soil‐water retention from field soils in the Oregon Coast Range during wetting and drying show that pronounced hydraulic hysteresis is present. In contrast, a 4‐yr field data record of pore‐water pressure and soil‐water content from multiple soil pits at the same landslide‐prone area shows relatively minor hydraulic hysteresis compared with the laboratory estimates. Simulated subsurface hydrologic response parameterized using estimates from field data more closely matched hydrologic observations relative to model parameterization based on laboratory analysis of repacked soil samples. Our results suggest that (i) unsaturated hydraulic parameter estimates based on in situ field data, as opposed to laboratory measurements alone, may lead to more accurate simulation of the hydrologic response to rainfall, (ii) in situ data of soil‐water retention may need to include values at both high suctions and near saturation to improve estimates of soil hydraulic parameters for slope failure applications, and (iii) laboratory measurements of soil‐water retention made under dynamic conditions may overestimate hydraulic hysteresis.
","language":"English","publisher":"ACSESS","doi":"10.2136/vzj2018.04.0078","usgsCitation":"Ebel, B.A., Godt, J.W., Lu, N., Coe, J.A., Smith, J.B., and Baum, R.L., 2018, Field and laboratory hydraulic characterization of landslide-prone soils in the Oregon Coast Range and implications for hydrologic simulation: Vadose Zone Journal, v. 17, 180078, 15 p., https://doi.org/10.2136/vzj2018.04.0078.","productDescription":"180078, 15 p.","ipdsId":"IP-098356","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468449,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2018.04.0078","text":"Publisher Index Page"},{"id":357010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379661,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://acsess.onlinelibrary.wiley.com/doi/full/10.2136/vzj2018.04.0078"}],"country":"United States","state":"Oregon","otherGeospatial":"Oregon Coast Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.617919921875,\n 42.17968819665961\n ],\n [\n -122.67333984374999,\n 42.17968819665961\n ],\n [\n -122.67333984374999,\n 44.39454219215587\n ],\n [\n -124.617919921875,\n 44.39454219215587\n ],\n [\n -124.617919921875,\n 42.17968819665961\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-30","publicationStatus":"PW","scienceBaseUri":"5b98a26ce4b0702d0e842e98","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":744010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":744011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":744012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":744013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":744014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":744015,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202400,"text":"70202400 - 2018 - Resilience and resistance in sagebrush ecosystems are associated with seasonal soil temperature and water availability","interactions":[],"lastModifiedDate":"2019-02-27T15:38:32","indexId":"70202400","displayToPublicDate":"2018-09-01T15:38:26","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Resilience and resistance in sagebrush ecosystems are associated with seasonal soil temperature and water availability","docAbstract":"Invasion and dominance of exotic grasses and increased fire frequency threaten native ecosystems worldwide. In the Great Basin region of the western United States, woody and herbaceous fuel treatments are implemented to decrease the effects of wildfire and increase sagebrush (Artemisia spp.) ecosystem resilience to disturbance and resistance to exotic annual grasses. High cover of the exotic annual cheatgrass (Bromus tectorum) after treatments increases fine fuels, which in turn increases the risk of passing over a biotic threshold to a state of increased wildfire frequency and conversion to cheatgrass dominance. Sagebrush ecosystem resilience to wildfire and resistance to cheatgrass depend on climatic conditions and abundance of perennial herbaceous species that compete with cheatgrass. In this study, we used longer‐term data to evaluate the relationships among soil climate conditions, perennial herbaceous cover, and cheatgrass cover following fuel management treatments across the environmental gradients that characterize sagebrush ecosystems in the Great Basin. We examined the effects of woody and herbaceous fuel treatments on soil temperature, soil water availability (13–30 and 50 cm depths), and native and exotic plant cover on six sagebrush sites lacking piñon (Pinus spp.) or juniper (Juniperus spp.) tree expansion and 11 sagebrush sites with tree expansion. Both prescribed fire and mechanical treatments increased soil water availability on woodland sites and perennial herbaceous cover on some woodland and sagebrush sites. Prescribed fire also slightly increased soil temperatures and especially increased cheatgrass cover compared to no treatment and mechanical treatments on most sites. Non‐metric dimensional scaling ordination and decision tree partition analysis indicated that sites with warmer late springs and warmer and wetter falls had higher cover of cheatgrass. Sites with wetter winters and early springs (March–April) had higher cover of perennial herbs. Our findings suggest that site resistance to cheatgrass after fire and fuel control treatments decreases with a warmer and drier climate. This emphasizes the need for management actions to maintain and enhance perennial herb cover, such as implementing appropriate grazing management, and revegetating sites that have low abundance of perennial herbs in conjunction with fuel control treatments.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2417","usgsCitation":"Roundy, B.A., Chambers, J.C., Pyke, D.A., Miller, R.F., Tausch, R.J., Schupp, E.W., Rau, B., and Gruell, T., 2018, Resilience and resistance in sagebrush ecosystems are associated with seasonal soil temperature and water availability: Ecosphere, v. 9, no. 9, p. 1-27, https://doi.org/10.1002/ecs2.2417.","productDescription":"e02417; 27 p.","startPage":"1","endPage":"27","ipdsId":"IP-098436","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2417","text":"Publisher Index Page"},{"id":361593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Roundy, Bruce A.","contributorId":178261,"corporation":false,"usgs":false,"family":"Roundy","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":758200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chambers, Jeanne C.","contributorId":178256,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":758201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":758203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Richard F.","contributorId":178258,"corporation":false,"usgs":false,"family":"Miller","given":"Richard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":758202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tausch, Robin J.","contributorId":213637,"corporation":false,"usgs":false,"family":"Tausch","given":"Robin","email":"","middleInitial":"J.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":758204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schupp, Eugene W.","contributorId":178262,"corporation":false,"usgs":false,"family":"Schupp","given":"Eugene","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":758205,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rau, Benjamin","contributorId":213638,"corporation":false,"usgs":false,"family":"Rau","given":"Benjamin","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":758206,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gruell, Trevor","contributorId":213639,"corporation":false,"usgs":false,"family":"Gruell","given":"Trevor","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":758207,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70199517,"text":"70199517 - 2018 - Standard operating procedure 1.2.16 wadeable stream reach-scale field data collection—version 1.0","interactions":[],"lastModifiedDate":"2018-11-26T15:22:49","indexId":"70199517","displayToPublicDate":"2018-09-01T14:49:36","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5788,"text":"Southeast Coast Network Standard Operating Procedure","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SECN/SOP—1.2.16","title":"Standard operating procedure 1.2.16 wadeable stream reach-scale field data collection—version 1.0","docAbstract":"The following standard operation procedure (SOP) outlines the procedure for collecting physical habitat data from previously selected and benchmarked wadeable streams. The purpose of this SOP is to ensure that data are collected using methods that are consistent between reaches and years. Using the methods described in this SOP will also ensure that the data will be comparable to data collected by other DOI agencies as well as non-governmental monitoring efforts. This SOP provides step-by-step directions and field data sheets tailored to the collection activities. The techniques and procedures outlined in this SOP were based on methods used by the United States Geological Survey (Fitzpatrick et al. 2008), the United States Environmental Protection Agency (EPA 2013), and the United States Department of Agriculture (Harrelson et al. 1994) and were modified for the Piedmont and Coastal Plain rivers in SECN parks.
","language":"English","publisher":"National Park Service","usgsCitation":"McDonald, J.M., Starkey, E.N., Gregory, M., and Riley, J.W., 2018, Standard operating procedure 1.2.16 wadeable stream reach-scale field data collection—version 1.0: Southeast Coast Network Standard Operating Procedure NPS/SECN/SOP—1.2.16, 26 p.","productDescription":"26 p.","ipdsId":"IP-068306","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":359644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357533,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/605808"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf67cf3e4b045bfcae2cff4","contributors":{"authors":[{"text":"McDonald, J. M","contributorId":208027,"corporation":false,"usgs":false,"family":"McDonald","given":"J.","email":"","middleInitial":"M","affiliations":[{"id":37679,"text":"National Park Service Southeast Coast Inventory and Monitoring Unit","active":true,"usgs":false}],"preferred":false,"id":745738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starkey, E. N.","contributorId":208028,"corporation":false,"usgs":false,"family":"Starkey","given":"E.","email":"","middleInitial":"N.","affiliations":[{"id":37679,"text":"National Park Service Southeast Coast Inventory and Monitoring Unit","active":true,"usgs":false}],"preferred":false,"id":745739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gregory, Mark B.","contributorId":151024,"corporation":false,"usgs":false,"family":"Gregory","given":"Mark B.","affiliations":[],"preferred":false,"id":745737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riley, Jeffrey W. 0000-0001-5525-3134 jriley@usgs.gov","orcid":"https://orcid.org/0000-0001-5525-3134","contributorId":3605,"corporation":false,"usgs":true,"family":"Riley","given":"Jeffrey","email":"jriley@usgs.gov","middleInitial":"W.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745736,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70199519,"text":"70199519 - 2018 - Standard Operating Procedure 1.2.14 Wadeable Stream Reach Selection and Location of Sampling Points—Version 1.0","interactions":[],"lastModifiedDate":"2018-11-26T15:24:20","indexId":"70199519","displayToPublicDate":"2018-09-01T14:40:41","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5788,"text":"Southeast Coast Network Standard Operating Procedure","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SECN/SOP—1.2.14","title":"Standard Operating Procedure 1.2.14 Wadeable Stream Reach Selection and Location of Sampling Points—Version 1.0","docAbstract":"The following standard operating procedure (SOP) outlines the procedure for selecting stream reaches to be used in Monitoring Wadeable Stream Habitat Conditions in Southeast Coast Network Parks: Protocol Narrative (McDonald et al. 2018a). The techniques and procedures outlined in this SOP are based on methods used by the U.S. Environmental Protection Agency (EPA 2013), the U.S. Department of Agriculture (USDA) (Harrelson et al. 1994), and the U.S. Geological Survey (USGS; (Fitzpatrick et al. 1998). Procedures have been customized for use in streams draining the Piedmont and Coastal Plain parks in the Southeast Coast Network.","language":"English","publisher":"National Park Service","usgsCitation":"McDonald, J.M., Starkey, E.N., Riley, J.W., and Gregory, M., 2018, Standard Operating Procedure 1.2.14 Wadeable Stream Reach Selection and Location of Sampling Points—Version 1.0: Southeast Coast Network Standard Operating Procedure NPS/SECN/SOP—1.2.14, 17 p.","productDescription":"17 p.","ipdsId":"IP-068303","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":357535,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/605805"},{"id":359643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf67cf3e4b045bfcae2cff6","contributors":{"authors":[{"text":"McDonald, Jacob M.","contributorId":208029,"corporation":false,"usgs":false,"family":"McDonald","given":"Jacob","email":"","middleInitial":"M.","affiliations":[{"id":37679,"text":"National Park Service Southeast Coast Inventory and Monitoring Unit","active":true,"usgs":false}],"preferred":false,"id":745745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starkey, E. N.","contributorId":208028,"corporation":false,"usgs":false,"family":"Starkey","given":"E.","email":"","middleInitial":"N.","affiliations":[{"id":37679,"text":"National Park Service Southeast Coast Inventory and Monitoring Unit","active":true,"usgs":false}],"preferred":false,"id":752033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riley, Jeffrey W. 0000-0001-5525-3134 jriley@usgs.gov","orcid":"https://orcid.org/0000-0001-5525-3134","contributorId":3605,"corporation":false,"usgs":true,"family":"Riley","given":"Jeffrey","email":"jriley@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregory, Mark B.","contributorId":151024,"corporation":false,"usgs":false,"family":"Gregory","given":"Mark B.","affiliations":[],"preferred":false,"id":745746,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70199520,"text":"70199520 - 2018 - Setting up and configuring a total station: Version 1.0: Southeast coast network standard operating procedure 1.2.17","interactions":[],"lastModifiedDate":"2018-11-26T15:20:42","indexId":"70199520","displayToPublicDate":"2018-09-01T14:31:28","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5788,"text":"Southeast Coast Network Standard Operating Procedure","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SECN/SOP—1.2.17","title":"Setting up and configuring a total station: Version 1.0: Southeast coast network standard operating procedure 1.2.17","docAbstract":"The following standard operating procedure (SOP) outlines the process for setting up and configuring a total station to collect accurate x, y, and z coordinate data. Total stations allow accurate spatial data to be collected and tied to a permanent benchmark. These data can be used to detect small geomorphic changes between site surveys. Many different types of total stations and surveying gear are available, and newer models will be available in the future. This SOP outlines basic steps for using the Trimble S6 robotic total station and the TSC3 data collector. These instructions do not cover detailed care and maintenance of the Trimble S6 robotic total station or the TSC3 data collector.","language":"English","publisher":"National Park Service","usgsCitation":"McDonald, J.M., Gregory, M., Riley, J.W., and Starkey, E.N., 2018, Setting up and configuring a total station: Version 1.0: Southeast coast network standard operating procedure 1.2.17: Southeast Coast Network Standard Operating Procedure NPS/SECN/SOP—1.2.17, 15 p.","productDescription":"15 p.","ipdsId":"IP-068308","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":359642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357536,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/605809"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf67cf4e4b045bfcae2cff8","contributors":{"authors":[{"text":"McDonald, Jacob M.","contributorId":208029,"corporation":false,"usgs":false,"family":"McDonald","given":"Jacob","email":"","middleInitial":"M.","affiliations":[{"id":37679,"text":"National Park Service Southeast Coast Inventory and Monitoring Unit","active":true,"usgs":false}],"preferred":false,"id":745748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gregory, Mark B.","contributorId":151024,"corporation":false,"usgs":false,"family":"Gregory","given":"Mark B.","affiliations":[],"preferred":false,"id":745749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riley, Jeffrey W. 0000-0001-5525-3134 jriley@usgs.gov","orcid":"https://orcid.org/0000-0001-5525-3134","contributorId":3605,"corporation":false,"usgs":true,"family":"Riley","given":"Jeffrey","email":"jriley@usgs.gov","middleInitial":"W.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Starkey, E. N.","contributorId":208028,"corporation":false,"usgs":false,"family":"Starkey","given":"E.","email":"","middleInitial":"N.","affiliations":[{"id":37679,"text":"National Park Service Southeast Coast Inventory and Monitoring Unit","active":true,"usgs":false}],"preferred":false,"id":745750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201028,"text":"70201028 - 2018 - Linking otolith microchemistry and surface water contamination from natural gas mining","interactions":[],"lastModifiedDate":"2018-11-21T11:26:33","indexId":"70201028","displayToPublicDate":"2018-09-01T11:26:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Linking otolith microchemistry and surface water contamination from natural gas mining","docAbstract":"Unconventional natural gas drilling and the use of hydraulic fracturing technology have expanded rapidly in North America. This expansion has raised concerns of surface water contamination by way of spills and leaks, which may be sporadic, small, and therefore difficult to detect. Here we explore the use of otolith microchemistry as a tool for monitoring surface water contamination from generated waters (GW) of unconventional natural gas drilling. We exposed Brook Trout in the laboratory to three volumetric concentrations of surrogate generated water (SGW) representing GW on day five of drilling. Transects across otolith cross-sections were analyzed for a suite of elements by LA-ICP-MS. Brook Trout exposed to a 0.01–1.0% concentration of SGW for 2, 15, and 30 days showed a significant (p < 0.05) relationship of increasing Sr and Ba concentrations in all but one treatment. Analyses indicate lesser concentrations than used in this experiment could be detectable in surface waters and provide support for the use of this technique in natural habitats. To our knowledge, this is the first demonstration of how trace elements in fish otoliths may be used to monitor for surface water contamination from GW.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2018.04.026","usgsCitation":"Keller, D.H., Zelanko, P.M., Gagnon, J.E., Horwitz, R.J., Galbraith, H.S., and Velinsky, D.J., 2018, Linking otolith microchemistry and surface water contamination from natural gas mining: Environmental Pollution, v. 240, p. 457-465, https://doi.org/10.1016/j.envpol.2018.04.026.","productDescription":"9 p.","startPage":"457","endPage":"465","ipdsId":"IP-090478","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468455,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2018.04.026","text":"Publisher Index Page"},{"id":359637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"240","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf67cf4e4b045bfcae2cffa","contributors":{"authors":[{"text":"Keller, David H.","contributorId":210767,"corporation":false,"usgs":false,"family":"Keller","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":38143,"text":"The Academy of Natural Sciences of Drexel University","active":true,"usgs":false}],"preferred":false,"id":751901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zelanko, Paula M.","contributorId":210768,"corporation":false,"usgs":false,"family":"Zelanko","given":"Paula","email":"","middleInitial":"M.","affiliations":[{"id":38143,"text":"The Academy of Natural Sciences of Drexel University","active":true,"usgs":false}],"preferred":false,"id":751902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gagnon, Joel E.","contributorId":210769,"corporation":false,"usgs":false,"family":"Gagnon","given":"Joel","email":"","middleInitial":"E.","affiliations":[{"id":38144,"text":"Great Lakes Institute for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":751903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horwitz, Richard J.","contributorId":210770,"corporation":false,"usgs":false,"family":"Horwitz","given":"Richard","email":"","middleInitial":"J.","affiliations":[{"id":38145,"text":"Department of Biodiversity, Earth, and Environmental Sciences, Drexel University","active":true,"usgs":false}],"preferred":false,"id":751904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":751900,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Velinsky, David J.","contributorId":210771,"corporation":false,"usgs":false,"family":"Velinsky","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":38145,"text":"Department of Biodiversity, Earth, and Environmental Sciences, Drexel University","active":true,"usgs":false}],"preferred":false,"id":751905,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228027,"text":"70228027 - 2018 - Brook Floater rapid assessment monitoring protocol","interactions":[],"lastModifiedDate":"2022-02-04T17:21:18.401432","indexId":"70228027","displayToPublicDate":"2018-09-01T11:13:31","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"132-2018","title":"Brook Floater rapid assessment monitoring protocol","docAbstract":"The Brook Floater (Alasmidonta varicosa) is a small (<100 mm), stream dwelling freshwater mussel (Family: Unionidae) from Atlantic Slope drainages in the eastern U.S. (Nedeau 2008). Brook Floater have dramatically contracted in distribution over recent decades, and there is limited evidence of recruitment in most locations, despite minimal effort to document population status (Wicklow et al., 2017). Brook Floater is listed as a Species of Greatest Conservation Need (SGCN) throughout its range in the United States (state-listed as imperiled or critically imperiled in all 15 states), has been extirpated from two states (Rhode Island and Delaware) and was recently petitioned for Federal listing in 2011 (Wicklow et al. 2017). Currently, there is a U.S. Fish and Wildlife (USFWS) Species Status Assessment underway to determine if federal listing under the Endangered Species Act is warranted. Brook Floater is also listed as a species of special concern in Canada, the northern extent of its range. In 2016, a state wildlife grant was awarded to develop range-wide conservation initiatives and strategies, including the development of rapid assessment and long-term monitoring techniques, in addition to developing conservation strategies to improve its probability of persistence in the future. The purpose of this protocol is to describe and facilitate a rapid approach to estimating Brook Floater occupancy to better understand the factors that influence Brook Floater distribution. Occupancy estimation approaches allow for estimation of species occupancy (; percent area occupied) within some scale of interest (for our purposes, the watershed), while simultaneously estimating species detection probability (p; the probability of finding an organism, if present). Occupancy estimation has been used with many wildlife taxa and is essential for understanding the presence or absence of wildlife in a particular area while accounting for imperfect detection (i.e., p<1; MacKenzie et al. 2004, Shea et al. 2013, Wisniewski et al. 2013, Pandolfo et al. 2016, MacKenzie 2016). This approach does not rely on existing information about species presence or absence to select sites. Occupancy estimation operates on a robust probabilistic framework of randomly selected sites to infer what proportion of sites are occupied. Occupancy estimation also incorporates imperfect detection (p <1; i.e., animals are cryptic and elusive; observers have varying experience searching, etc.; MacKenzie et al. 2003). For example, two mussel species that occupy a site might have two very different detection histories, as determined by revisiting a site and using the same methods on repeated visits to find both species. See hypothetical results here: Visits 1 2 3 4 5 Mussel species A 1 1 1 0 1 Mussel species B 0 0 0 1 0 (1 = detected, 0=not detected) Both of these mussel species occupy this site, yet Mussel A was detected in 4 out of 5 visits (high p) and Mussel B was detected in 1 out of 5 visits (low p) with the methods used to survey this site. Covariates may explain differences in detection between species or visits. Organisms may be: 1) present and not observed, 2) present and unavailable for capture (i.e., buried in sediment), or 3) not present at the site. Occupancy estimation uses repeated visits of randomly selected sites to build species detection histories (i.e., 1, 0, 1) to simultaneously estimate occupancy () and p. Typically, repeated visits are discrete sampling events and are more time consuming because each site requires >3 separate visits. In our rapid assessment protocol, we use multiple independent observers searching longitudinal lanes to estimate detection in a single site visit as opposed to multiple discrete visits. Below are hypothetical results of occupancy by observer: Independent Observers 1 2 3 4 5 Mussel species A 1 1 0 1 1 Mussel species B 1 0 0 1 0 (1 = detected, 0=not detected) Objectives: The objectives of this rapid assessment survey approach are to guide collection of data that can be used to: A. Estimate the occupancy of Brook Floater within watersheds. B. Estimate the effects of reach- and watershed-scale habitat features on Brook Floater occurrence. C. Understand how survey covariates (e.g., surveyor experience) influence detection of Brook Floater. While this protocol explicitly targets collection of Brook Floater, it is likely that the methods can be adapted for occupancy surveys of other stream-dwelling freshwater mussel species.
","language":"English","publisher":"U.S. Fish and Wildlife Service","collaboration":"University of Massachusetts, Maine Department of Inland Fisheries and wildlife, New Hampshire Department of Fish and Game, New York Department of Conservations, Maryland Department of Natural Resources,","usgsCitation":"Sterrett, S., Roy, A.H., Hazelton, P., Watson, B., Swartz, B., Russ, T.R., Holst, L., Marchand, M., Wisniewski, J., Ashton, M., and Wicklow, B., 2018, Brook Floater rapid assessment monitoring protocol: Cooperator Science Series 132-2018, ii, 24 p.","productDescription":"ii, 24 p.","ipdsId":"IP-096688","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395447,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/digital/collection/document/id/2241/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sterrett, Sean","contributorId":274333,"corporation":false,"usgs":false,"family":"Sterrett","given":"Sean","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":832911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazelton, Peter","contributorId":274334,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter","affiliations":[{"id":51525,"text":"Massachusetts Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":832912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watson, Brian","contributorId":274335,"corporation":false,"usgs":false,"family":"Watson","given":"Brian","email":"","affiliations":[{"id":56595,"text":"Virginia Division of Game and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":832913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swartz, Beth","contributorId":274336,"corporation":false,"usgs":false,"family":"Swartz","given":"Beth","email":"","affiliations":[{"id":39965,"text":"Maine Department of Inland Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":832914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Russ, T. R.","contributorId":274338,"corporation":false,"usgs":false,"family":"Russ","given":"T.","email":"","middleInitial":"R.","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":832915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holst, Lisa","contributorId":274340,"corporation":false,"usgs":false,"family":"Holst","given":"Lisa","email":"","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":832916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marchand, Mike","contributorId":274342,"corporation":false,"usgs":false,"family":"Marchand","given":"Mike","email":"","affiliations":[{"id":56597,"text":"New Hampshire Fish and Game Department","active":true,"usgs":false}],"preferred":false,"id":832917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wisniewski, Jason","contributorId":274344,"corporation":false,"usgs":false,"family":"Wisniewski","given":"Jason","affiliations":[{"id":36378,"text":"Georgia Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":832918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ashton, Matt","contributorId":274345,"corporation":false,"usgs":false,"family":"Ashton","given":"Matt","email":"","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":832919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wicklow, Barry","contributorId":274346,"corporation":false,"usgs":false,"family":"Wicklow","given":"Barry","affiliations":[{"id":56599,"text":"Saint Anselm College","active":true,"usgs":false}],"preferred":false,"id":832920,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70199092,"text":"70199092 - 2018 - Sediment transport and deposition","interactions":[],"lastModifiedDate":"2018-09-11T10:52:50","indexId":"70199092","displayToPublicDate":"2018-09-01T10:52:43","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Sediment transport and deposition","docAbstract":"Sediment transport and deposition (sedimentation) occurs from natural and anthropogenic sources in rivers, lakes, and reservoirs. Substantial changes in sediment transport (such as a major increase or decrease in sediment supply) can impact aquatic ecosystems that depend on a particular sediment quantity and particle size, for example, through altering stream-channel geomorphology or fish habitat. For human communities that rely on surface water resources, sedimentation can impact water supply and quality. Sedimentation in reservoirs affects water supply by reducing the reservoir volume available to store water. Sediment, as well as the nutrients and chemicals adsorbed in sediment, can serve as pollutants that decrease water quality and make water treatment necessary and costly.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Central Coast Summary Report. California’s Fourth Climate Change Assessment","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"State of California","usgsCitation":"Sankey, J.B., East, A.E., Kreitler, J.R., and Tague, C., 2018, Sediment transport and deposition, chap. of Central Coast Summary Report. California’s Fourth Climate Change Assessment, p. 31-33.","productDescription":"3 p.","startPage":"31","endPage":"33","ipdsId":"IP-098937","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":357223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357024,"type":{"id":11,"text":"Document"},"url":"https://www.climateassessment.ca.gov/regions/docs/20180827-CentralCoast.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a26ce4b0702d0e842e9c","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":744040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tague, Christina (Naomi)","contributorId":207524,"corporation":false,"usgs":false,"family":"Tague","given":"Christina (Naomi)","affiliations":[{"id":37552,"text":"Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":744038,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202186,"text":"70202186 - 2018 - Holocene paleointensity of the Island of Hawai'i from glassy volcanics","interactions":[],"lastModifiedDate":"2019-02-14T09:40:19","indexId":"70202186","displayToPublicDate":"2018-09-01T09:40:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Holocene paleointensity of the Island of Hawai'i from glassy volcanics","docAbstract":"This study presents new high‐quality paleointensity records and 14C radiocarbon age determinations from the Island of Hawai `i during the Holocene. Previous studies on Hawai `i use experimental methods and statistical selection criteria that may produce inaccurate geomagnetic field strength estimates. Additional high‐quality paleointensity results can be used to evaluate the existing Hawaiian data set and investigate Holocene geomagnetic field behavior. New paleointensity sites from 22 lava flows were calculated using the IZZI‐Thellier laboratory technique and a strict set of selection criteria. Rapidly cooled, glassy volcanic material was collected for all sites. Isotopic age determinations range from 270 to >10, 000 years before present (nine new 14C ages are also presented as part of this study). The median intensity for the 22 flows is 47.5 μT, with a median absolute deviation uncertainty of 5.6 μT; substantially greater than the present‐day field strength at Hawai `i (~36 μT). These new results are comparable to previously published data from this location and are consistent with global paleointensity models. There is no evidence of an intensity “spike” at 3,000 years before present, as seen in the Levant and elsewhere. Previously published data vary in intensity by experimental technique relative to data using glassy material and strict selection criteria. Non‐Thellier‐type data are biased low, a result of these techniques estimating intensity from possibly nonsingle domain magnetic carriers. Thellier‐Thellier data are biased high, the reasons for which remain unclear as no cooling rate effect was demonstrated, and we were unable to reproduce the high bias with different selection criteria.
","language":"English","publisher":"AGU","doi":"10.1002/2017GC006927","usgsCitation":"Cromwell, G., Trusdell, F., Tauxe, L., Staudigel, H., and Ron, H., 2018, Holocene paleointensity of the Island of Hawai'i from glassy volcanics: Geochemistry, Geophysics, Geosystems, v. 19, no. 9, p. 3224-3245, https://doi.org/10.1002/2017GC006927.","productDescription":"22 p.","startPage":"3224","endPage":"3245","ipdsId":"IP-084186","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468457,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gc006927","text":"Publisher Index Page"},{"id":361241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai`i","otherGeospatial":"Island of Hawai`i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.1651611328125,\n 18.80751806940863\n ],\n [\n -154.72320556640625,\n 18.80751806940863\n ],\n [\n -154.72320556640625,\n 20.347202168291595\n ],\n [\n -156.1651611328125,\n 20.347202168291595\n ],\n [\n -156.1651611328125,\n 18.80751806940863\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Cromwell, Geoffrey 0000-0001-8481-405X gcromwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-405X","contributorId":5920,"corporation":false,"usgs":true,"family":"Cromwell","given":"Geoffrey","email":"gcromwell@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":757142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tauxe, Lisa","contributorId":210311,"corporation":false,"usgs":false,"family":"Tauxe","given":"Lisa","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":757143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staudigel, Hubert","contributorId":213217,"corporation":false,"usgs":false,"family":"Staudigel","given":"Hubert","email":"","affiliations":[{"id":38724,"text":"Scripps Institution of Oceanography, University of California San Diego","active":true,"usgs":false}],"preferred":false,"id":757144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ron, Hagai","contributorId":206484,"corporation":false,"usgs":false,"family":"Ron","given":"Hagai","email":"","affiliations":[],"preferred":false,"id":757145,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70206332,"text":"70206332 - 2018 - Long-term spotlight surveys of American alligators in Mississippi, USA","interactions":[],"lastModifiedDate":"2019-11-04T11:11:34","indexId":"70206332","displayToPublicDate":"2018-08-31T12:35:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Long-term spotlight surveys of American alligators in Mississippi, USA","docAbstract":"Accurate population estimates and assessments of trajectory are an essential part of harvest management for game species and conservation action plans for protected species. Long-term monitoring can lead to ecological understanding by identifying biotic and abiotic drivers of population dynamics. Spotlight surveys are a widely used method to monitor abundance and size-class structure of crocodilian populations. The American Alligator (Alligator mississippiensis) has recovered from significant population reductions in the southeastern United States. The Mississippi Department of Wildlife, Fisheries, and Parks (MDWFP) has conducted alligator spotlight surveys since 1971 to monitor populations. We analyzed this long-term alligator survey dataset to assess possible trends in counts as a proxy for potential population changes. We tested for a positive trend in count data over 46 y and evaluated covariates that could influence counts to assist future survey protocols. Alligator counts during 1971– 2016 increased across survey routes in Mississippi. This observed positive response may represent an increase of the alligator population in Mississippi as a result of conservation benefits accrued from improved wetland conditions and species-specific management policies. Evaluation of survey covariates indicated recent rainfall and increasing wind velocity had negative effects on alligator counts while increasing water temperature had a positive effect. Implementing robust survey techniques will improve the reliability of alligator monitoring data and their application to the management of alligator populations. Further, these improved approaches may be useful to other conservation and management agencies as well as for other crocodilian species.
","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Strickland, B.A., Vilella, F., and Flynt, R.D., 2018, Long-term spotlight surveys of American alligators in Mississippi, USA: Herpetological Conservation and Biology, v. 13, no. 2, p. 331-340.","productDescription":"10 p.","startPage":"331","endPage":"340","ipdsId":"IP-088520","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":368826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368825,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol13_issue2.html"}],"country":"United States","state":"Mississippi","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-89.095623,30.231767],[-89.077259,30.23168],[-89.067128,30.250199],[-89.063989,30.246299],[-89.073538,30.223318],[-89.091469,30.202305],[-89.118222,30.223343],[-89.156738,30.230699],[-89.095623,30.231767]]],[[[-88.90037,30.224576],[-88.945498,30.209646],[-88.974672,30.207391],[-88.984249,30.21032],[-88.920511,30.220578],[-88.889797,30.239665],[-88.87366,30.241748],[-88.90037,30.224576]]],[[[-88.710719,30.250799],[-88.656804,30.233956],[-88.573044,30.22264],[-88.562067,30.227476],[-88.569138,30.221357],[-88.587424,30.219154],[-88.665857,30.228847],[-88.71183,30.242662],[-88.752782,30.238803],[-88.771991,30.245523],[-88.73255,30.246322],[-88.718104,30.252931],[-88.710719,30.250799]]],[[[-88.506999,30.214348],[-88.453444,30.201236],[-88.430332,30.208548],[-88.401466,30.210172],[-88.428301,30.198511],[-88.453654,30.196584],[-88.493523,30.205945],[-88.506999,30.214348]]],[[[-90.309297,34.995694],[-88.200064,34.995634],[-88.176106,34.962519],[-88.154617,34.922392],[-88.136692,34.907592],[-88.097888,34.892202],[-88.243025,33.79568],[-88.473227,31.893856],[-88.41863,30.866528],[-88.395023,30.369425],[-88.399062,30.360744],[-88.39398,30.349307],[-88.401181,30.344382],[-88.409927,30.342115],[-88.418811,30.353911],[-88.433891,30.354652],[-88.446495,30.347753],[-88.446625,30.337671],[-88.45381,30.329626],[-88.480117,30.318345],[-88.504802,30.321472],[-88.506334,30.327398],[-88.522494,30.340092],[-88.579483,30.34419],[-88.599249,30.358933],[-88.613745,30.353108],[-88.624523,30.358713],[-88.66382,30.362099],[-88.700587,30.343689],[-88.728893,30.342671],[-88.746945,30.347622],[-88.771742,30.365403],[-88.811615,30.384907],[-88.810227,30.394698],[-88.841328,30.409598],[-88.857828,30.392898],[-88.851442,30.375355],[-88.89393,30.393398],[-88.971233,30.390798],[-89.016334,30.383898],[-89.083237,30.368097],[-89.18684,30.331197],[-89.285744,30.303097],[-89.294444,30.307596],[-89.291844,30.328096],[-89.287844,30.333196],[-89.281564,30.33198],[-89.279818,30.34979],[-89.292499,30.365635],[-89.315067,30.375408],[-89.335942,30.374016],[-89.353248,30.368795],[-89.366116,30.352169],[-89.332546,30.337895],[-89.322545,30.314896],[-89.329946,30.302896],[-89.365747,30.284896],[-89.379547,30.270396],[-89.419348,30.25432],[-89.430428,30.223218],[-89.447465,30.205098],[-89.44791,30.185352],[-89.461275,30.174745],[-89.469792,30.176278],[-89.480214,30.193751],[-89.503231,30.183051],[-89.524504,30.180753],[-89.530452,30.192197],[-89.538652,30.195797],[-89.570154,30.180297],[-89.585754,30.192096],[-89.596655,30.211796],[-89.615856,30.223195],[-89.614156,30.244595],[-89.631789,30.256924],[-89.631411,30.279662],[-89.64344,30.287682],[-89.640401,30.306755],[-89.626221,30.314255],[-89.629727,30.339287],[-89.657191,30.356515],[-89.683686,30.405873],[-89.684118,30.412646],[-89.678514,30.414012],[-89.684816,30.439511],[-89.68341,30.451793],[-89.701799,30.465115],[-89.709551,30.477853],[-89.715886,30.477797],[-89.724614,30.491902],[-89.758133,30.505404],[-89.76057,30.515761],[-89.768133,30.51502],[-89.779565,30.544345],[-89.793818,30.545935],[-89.794532,30.556554],[-89.803887,30.560581],[-89.790078,30.565333],[-89.794495,30.569653],[-89.808027,30.567998],[-89.807118,30.587337],[-89.819838,30.59534],[-89.814563,30.606152],[-89.821286,30.60713],[-89.823261,30.622803],[-89.818081,30.634019],[-89.821868,30.644024],[-89.833261,30.657516],[-89.851889,30.661199],[-89.85055,30.664781],[-89.843355,30.663699],[-89.837894,30.672514],[-89.847201,30.670038],[-89.835848,30.699555],[-89.845801,30.707314],[-89.836257,30.716185],[-89.831961,30.715384],[-89.828061,30.725018],[-89.836331,30.727197],[-89.83687,30.734661],[-89.816764,30.740076],[-89.826053,30.742322],[-89.831537,30.76761],[-89.819164,30.795229],[-89.81261,30.789876],[-89.804696,30.791624],[-89.810863,30.797379],[-89.800422,30.810425],[-89.800049,30.819078],[-89.782404,30.817975],[-89.783985,30.827385],[-89.790432,30.830985],[-89.790121,30.837983],[-89.780947,30.848542],[-89.784073,30.85527],[-89.771722,30.854677],[-89.767955,30.863858],[-89.778005,30.873411],[-89.778583,30.878903],[-89.770027,30.882254],[-89.773553,30.896862],[-89.757024,30.898947],[-89.764202,30.911906],[-89.759403,30.915134],[-89.750073,30.91293],[-89.744789,30.918933],[-89.756333,30.943498],[-89.735686,30.966573],[-89.728041,30.966518],[-89.727086,30.969707],[-89.736883,30.977122],[-89.732168,30.978088],[-89.727698,30.993329],[-89.73554,30.999715],[-89.728145,31.0023],[-89.732504,31.004831],[-89.751481,30.99969],[-91.636942,30.999416],[-91.578413,31.02403],[-91.564397,31.038965],[-91.559907,31.054119],[-91.567648,31.070186],[-91.61857,31.107328],[-91.625994,31.116896],[-91.625118,31.131879],[-91.597062,31.163492],[-91.589046,31.178586],[-91.588939,31.188959],[-91.601616,31.208573],[-91.625119,31.226071],[-91.644356,31.234414],[-91.652019,31.242691],[-91.654027,31.255753],[-91.637672,31.26768],[-91.564192,31.261633],[-91.537734,31.267369],[-91.515614,31.27821],[-91.508858,31.291644],[-91.507977,31.312943],[-91.548967,31.347255],[-91.551002,31.363645],[-91.546607,31.381198],[-91.55568,31.386413],[-91.568953,31.377629],[-91.578334,31.399067],[-91.576265,31.410498],[-91.565179,31.423447],[-91.548465,31.432668],[-91.541626,31.431706],[-91.532336,31.390275],[-91.521836,31.37517],[-91.504163,31.36495],[-91.47887,31.364955],[-91.471098,31.376917],[-91.472065,31.395925],[-91.500046,31.42052],[-91.513366,31.444396],[-91.518148,31.483483],[-91.514917,31.510113],[-91.520579,31.513207],[-91.522536,31.522078],[-91.511217,31.532612],[-91.489618,31.534266],[-91.481318,31.530666],[-91.443916,31.542466],[-91.414915,31.562166],[-91.405415,31.576466],[-91.403915,31.589766],[-91.422716,31.597065],[-91.466317,31.586066],[-91.488618,31.587466],[-91.502783,31.595727],[-91.516567,31.611818],[-91.515462,31.630372],[-91.494478,31.645013],[-91.474318,31.625365],[-91.436716,31.612665],[-91.421116,31.611565],[-91.401015,31.620365],[-91.395715,31.644165],[-91.400115,31.688164],[-91.397915,31.709364],[-91.371804,31.742948],[-91.365034,31.748184],[-91.338663,31.750005],[-91.275545,31.745515],[-91.263406,31.754468],[-91.259611,31.76129],[-91.263043,31.766995],[-91.286045,31.772062],[-91.325973,31.76151],[-91.355214,31.758063],[-91.365529,31.761628],[-91.359514,31.799362],[-91.345714,31.842861],[-91.333814,31.853261],[-91.294713,31.86046],[-91.289312,31.846861],[-91.289412,31.828661],[-91.282212,31.814762],[-91.269212,31.809162],[-91.255611,31.812662],[-91.245047,31.831447],[-91.266612,31.851161],[-91.267712,31.86266],[-91.234899,31.876863],[-91.20281,31.907959],[-91.18061,31.917959],[-91.18491,31.923759],[-91.18371,31.933158],[-91.19111,31.934158],[-91.18481,31.965557],[-91.16441,31.982557],[-91.104108,31.990357],[-91.075908,32.016828],[-91.088108,32.034455],[-91.15141,32.049255],[-91.16131,32.059755],[-91.16031,32.070354],[-91.14881,32.080154],[-91.139309,32.081754],[-91.128609,32.076554],[-91.103708,32.050255],[-91.082308,32.047555],[-91.079108,32.050255],[-91.080008,32.079154],[-91.034707,32.101053],[-91.030507,32.108153],[-91.030907,32.120552],[-91.017606,32.125153],[-91.004106,32.146152],[-91.00619,32.156957],[-91.025007,32.162552],[-91.050207,32.178451],[-91.057647,32.177354],[-91.058907,32.171251],[-91.048507,32.150152],[-91.053175,32.124237],[-91.08163,32.133992],[-91.101181,32.131136],[-91.111294,32.125036],[-91.162822,32.132694],[-91.174552,32.154978],[-91.164171,32.196888],[-91.133587,32.213432],[-91.11727,32.206668],[-91.108509,32.20815],[-91.100409,32.21785],[-91.083708,32.22645],[-91.071108,32.22605],[-91.061408,32.21865],[-91.050307,32.237949],[-91.039007,32.242349],[-91.021507,32.236149],[-91.006106,32.22405],[-91.002469,32.215812],[-90.988672,32.215812],[-90.983434,32.221305],[-90.98029,32.243601],[-90.970016,32.25168],[-90.982985,32.270294],[-90.980747,32.29141],[-90.976199,32.29645],[-90.964149,32.296872],[-90.953008,32.284043],[-90.947834,32.283486],[-90.922231,32.298639],[-90.902558,32.319587],[-90.90072,32.330379],[-90.875631,32.372434],[-90.89206,32.370579],[-90.897762,32.35436],[-90.912363,32.339454],[-90.993625,32.354047],[-91.004506,32.364744],[-90.99408,32.403862],[-90.967767,32.418279],[-90.96856,32.438084],[-90.978547,32.447032],[-90.993863,32.45085],[-91.029606,32.433542],[-91.052907,32.438442],[-91.095308,32.458741],[-91.116008,32.48314],[-91.116708,32.500139],[-91.101304,32.525599],[-91.093741,32.549128],[-91.074817,32.533467],[-91.050907,32.500139],[-91.038106,32.49044],[-91.004206,32.48214],[-90.990703,32.487749],[-90.987831,32.49419],[-90.994481,32.506331],[-91.005468,32.513842],[-91.061685,32.536448],[-91.075373,32.546718],[-91.080398,32.556442],[-91.03617,32.579556],[-91.010228,32.601927],[-91.002962,32.622555],[-91.014286,32.640482],[-91.025769,32.646573],[-91.038415,32.636443],[-91.049796,32.607188],[-91.112764,32.590186],[-91.118641,32.585139],[-91.127912,32.586493],[-91.144074,32.600613],[-91.153556,32.626181],[-91.152699,32.640757],[-91.138712,32.649774],[-91.127723,32.665343],[-91.104443,32.682434],[-91.076061,32.693751],[-91.063946,32.702926],[-91.054749,32.719229],[-91.056999,32.72558],[-91.077176,32.732534],[-91.123152,32.742798],[-91.154461,32.742339],[-91.165328,32.751301],[-91.156918,32.780343],[-91.164397,32.785821],[-91.161669,32.812465],[-91.145002,32.84287],[-91.127886,32.855059],[-91.105631,32.858396],[-91.070602,32.888659],[-91.064449,32.901064],[-91.064804,32.926464],[-91.083084,32.947909],[-91.080355,32.962794],[-91.086802,32.976266],[-91.09693,32.986412],[-91.106581,32.988938],[-91.134414,32.980533],[-91.138585,32.971352],[-91.131243,32.960928],[-91.137863,32.952756],[-91.132115,32.923122],[-91.15169,32.901935],[-91.170235,32.899391],[-91.196785,32.906784],[-91.208263,32.915354],[-91.213972,32.927198],[-91.210705,32.939845],[-91.199415,32.952314],[-91.201842,32.961212],[-91.168973,32.992132],[-91.162363,33.019684],[-91.129088,33.033554],[-91.120379,33.05453],[-91.124639,33.064127],[-91.149823,33.081603],[-91.171514,33.087818],[-91.180836,33.098364],[-91.200167,33.10693],[-91.20178,33.125121],[-91.193174,33.136734],[-91.183662,33.141691],[-91.161651,33.141781],[-91.151853,33.131802],[-91.131659,33.129101],[-91.104317,33.131598],[-91.089862,33.139655],[-91.084366,33.180856],[-91.091711,33.220813],[-91.070697,33.227302],[-91.050407,33.251202],[-91.045191,33.265404],[-91.043624,33.274636],[-91.04815,33.282796],[-91.072567,33.285885],[-91.083694,33.278557],[-91.099093,33.238173],[-91.106142,33.241799],[-91.117223,33.260685],[-91.128078,33.268502],[-91.125539,33.280255],[-91.141615,33.299539],[-91.143667,33.328398],[-91.142219,33.348989],[-91.120409,33.363809],[-91.101456,33.38719],[-91.075293,33.405966],[-91.058152,33.428705],[-91.057621,33.445341],[-91.067623,33.455104],[-91.086498,33.451576],[-91.096723,33.437603],[-91.095211,33.417488],[-91.10717,33.399078],[-91.123623,33.387526],[-91.154017,33.378914],[-91.171968,33.38103],[-91.191127,33.389634],[-91.20922,33.40629],[-91.199354,33.418321],[-91.17628,33.416979],[-91.131885,33.430063],[-91.118495,33.449116],[-91.125109,33.472842],[-91.167403,33.498304],[-91.177148,33.48617],[-91.16936,33.452629],[-91.177293,33.443638],[-91.206807,33.433846],[-91.235181,33.438972],[-91.231661,33.4571],[-91.208535,33.468606],[-91.182901,33.502379],[-91.187367,33.510552],[-91.219297,33.532364],[-91.229834,33.547047],[-91.231418,33.560593],[-91.224121,33.567369],[-91.198285,33.572061],[-91.17822,33.582607],[-91.152148,33.582721],[-91.134043,33.594489],[-91.130445,33.606034],[-91.139209,33.625658],[-91.171168,33.647766],[-91.219048,33.661503],[-91.228228,33.671326],[-91.227857,33.683073],[-91.22057,33.692923],[-91.205377,33.700819],[-91.162464,33.70684],[-91.13045,33.674522],[-91.09404,33.658351],[-91.078507,33.658283],[-91.034565,33.673018],[-91.030402,33.687766],[-91.03612,33.689113],[-91.046778,33.706313],[-91.059891,33.714816],[-91.06829,33.716477],[-91.101101,33.705007],[-91.117733,33.705342],[-91.132338,33.714246],[-91.146618,33.732456],[-91.140756,33.759735],[-91.145112,33.76734],[-91.133854,33.782814],[-91.123466,33.782106],[-91.107318,33.770619],[-91.053886,33.778701],[-91.023285,33.762991],[-91.000106,33.769165],[-90.988466,33.78453],[-91.000107,33.799549],[-91.046849,33.815365],[-91.067511,33.840443],[-91.073011,33.857449],[-91.070883,33.866714],[-91.026382,33.90798],[-91.010318,33.929352],[-91.035961,33.943758],[-91.084095,33.956179],[-91.089787,33.966004],[-91.087921,33.975335],[-91.075378,33.983586],[-91.042751,33.986811],[-91.01889,34.003151],[-91.000108,33.966428],[-90.983359,33.960186],[-90.967632,33.963324],[-90.961548,33.979945],[-90.979945,34.000106],[-90.987948,34.019038],[-90.970726,34.02162],[-90.942662,34.01805],[-90.89242,34.02686],[-90.887413,34.032505],[-90.887837,34.055403],[-90.870528,34.080516],[-90.882628,34.096615],[-90.918395,34.093054],[-90.946323,34.109374],[-90.958467,34.125105],[-90.9543,34.138498],[-90.91001,34.165508],[-90.894385,34.160953],[-90.86458,34.140555],[-90.847168,34.136884],[-90.825708,34.142011],[-90.810884,34.155903],[-90.808685,34.175878],[-90.816572,34.183023],[-90.8556,34.18688],[-90.887884,34.18198],[-90.916048,34.196916],[-90.93522,34.21905],[-90.937152,34.23411],[-90.929015,34.244541],[-90.907082,34.244492],[-90.89456,34.22438],[-90.87912,34.21545],[-90.847808,34.20653],[-90.840009,34.223077],[-90.836972,34.250104],[-90.828267,34.27365],[-90.802928,34.282465],[-90.765165,34.280524],[-90.743082,34.302257],[-90.74061,34.313469],[-90.744713,34.324872],[-90.767108,34.345264],[-90.767061,34.360271],[-90.762085,34.364754],[-90.750107,34.367919],[-90.712088,34.363805],[-90.683222,34.368817],[-90.68162,34.35291],[-90.691551,34.338618],[-90.693129,34.32257],[-90.686003,34.315771],[-90.669343,34.31302],[-90.661395,34.315398],[-90.657488,34.322231],[-90.666862,34.348569],[-90.666788,34.35582],[-90.655346,34.371846],[-90.658542,34.375705],[-90.613944,34.390723],[-90.571145,34.420319],[-90.566505,34.429528],[-90.56733,34.440383],[-90.585477,34.461247],[-90.588942,34.491097],[-90.578493,34.516296],[-90.545728,34.53775],[-90.540736,34.548085],[-90.545891,34.563257],[-90.570133,34.587457],[-90.587224,34.615732],[-90.58344,34.641389],[-90.588536,34.668646],[-90.567334,34.693371],[-90.552317,34.697087],[-90.540074,34.684981],[-90.538061,34.673232],[-90.552642,34.659707],[-90.554129,34.640871],[-90.543696,34.629559],[-90.524481,34.628504],[-90.479718,34.659934],[-90.466041,34.674312],[-90.462552,34.687576],[-90.475194,34.700826],[-90.538974,34.698783],[-90.565646,34.721053],[-90.565437,34.736536],[-90.547606,34.744367],[-90.542695,34.752626],[-90.547612,34.784589],[-90.53651,34.798572],[-90.514706,34.801768],[-90.500994,34.771187],[-90.520556,34.753388],[-90.521004,34.738612],[-90.514735,34.729656],[-90.488865,34.723731],[-90.469897,34.72703],[-90.454968,34.735557],[-90.453038,34.753352],[-90.47459,34.7932],[-90.456935,34.823383],[-90.481955,34.857805],[-90.485038,34.869252],[-90.479872,34.883264],[-90.466154,34.890989],[-90.453916,34.891122],[-90.438313,34.884581],[-90.42898,34.867168],[-90.431741,34.855051],[-90.428754,34.8414],[-90.423879,34.834606],[-90.414864,34.831846],[-90.34038,34.860357],[-90.323067,34.846391],[-90.307384,34.846195],[-90.303698,34.859704],[-90.313476,34.871698],[-90.250095,34.90732],[-90.244725,34.921031],[-90.244476,34.937596],[-90.253969,34.954988],[-90.296422,34.976346],[-90.309297,34.995694]]]]},\"properties\":{\"name\":\"Mississippi\",\"nation\":\"USA \"}}]}","volume":"13","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Strickland, Bradley A.","contributorId":177343,"corporation":false,"usgs":false,"family":"Strickland","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":774345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vilella, Francisco 0000-0003-1552-9989 fvilella@usgs.gov","orcid":"https://orcid.org/0000-0003-1552-9989","contributorId":171363,"corporation":false,"usgs":true,"family":"Vilella","given":"Francisco","email":"fvilella@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":774182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynt, Ricky D.","contributorId":220152,"corporation":false,"usgs":false,"family":"Flynt","given":"Ricky","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":774346,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198528,"text":"ofr20181127 - 2018 - Southern Rockies Landscape Conservation Cooperative unit watershed erosion potential prioritization for check-dam installation","interactions":[],"lastModifiedDate":"2018-09-04T10:38:08","indexId":"ofr20181127","displayToPublicDate":"2018-08-31T09:15:57","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1127","title":"Southern Rockies Landscape Conservation Cooperative unit watershed erosion potential prioritization for check-dam installation","docAbstract":"Changes in land-use practices and the extirpation (local extinction) of beaver populations in the early 20th century during European settlement are believed to have resulted in many changes in how streams in the Western United States function. Some of the negative changes that have resulted include stream channelization, soil erosion, changing vegetation, water turbidity, and a loss of overland flow. Efforts to restore streams and reduce soil erosion by water have included reintroductions of beaver, incorporating Native American traditional knowledge of dry-land farming techniques, and the installation of rigid check-dams. Many of these efforts have been successful in improving both intermittent and perennial stream function. Therefore, stakeholders in the Southern Rockies Landscape Conservation Cooperative (SRLCC) have identified a need to prioritize streams within their region of interest for the installation of check-dams to continue restoration and conservation efforts and to improve sediment catchment.
Using Natural Resource Conservation Service soil databases, topographic features derived from digital elevation models, stream networks, and regional climatic patterns, I developed a ranking system for watershed potential erosion rates and suitability for check-dam placement across the SRLCC. This ranking system serves as a first step for land managers to prioritize areas for check-dam installation based on relatively static factors (soil properties, topography, and hydrology) that can contribute to rates of soil erosion by water and the stability of check-dams. Many other relatively dynamic factors over time can contribute to rates of soil erosion by water, such as recent wildfire events, changes in weather patterns and extreme climate events, and changing land-use such as grazing, logging, mining, development, and cultivation. These factors that influence vegetative and biological soil crusts cover are also important elements to the potential erosion of soil by water. Because of this, SRLCC stakeholders might consider further evaluation of the watersheds identified here as high ranking. Final watershed prioritization among the high-ranking watersheds identified here should include current knowledge of land-use and land-cover estimates to identify areas at risk for soil erosion or degree of existing erosion problems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181127","usgsCitation":"Ironside, K.E., 2018, Southern Rockies Landscape Conservation Cooperative unit watershed erosion potential prioritization for check-dam installation: U.S. Geological Survey Open-File Report 2018–1127, 15 p., https://doi.org/10.3133/ofr20181127.","productDescription":"Report: v, 15 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-096570","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":356855,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SEUC93","text":"Data release","description":"USGS Data Release","linkHelpText":"Watershed potential erosion rate ranking system and check-dam placement suitability data within the Southern Rockies Landscape Conservation Cooperative (SRLCC)"},{"id":356853,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1127/coverthb.jpg"},{"id":356854,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1127/ofr20181127.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1127"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.173197,\n 32.416412\n ],\n [\n -103.499364,\n 32.416412\n ],\n [\n -103.499364,\n 43.335375\n ],\n [\n -116.173197,\n 43.335375\n ],\n [\n -116.173197,\n 32.416412\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"SBSC Staff,
Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
We describe a collection of aquatic and wetland habitats in an inland landscape, and their occurrence within a terrestrial matrix, as a “freshwater ecosystem mosaic” (FEM). Aquatic and wetland habitats in any FEM can vary widely, from permanently ponded lakes, to ephemerally ponded wetlands, to groundwater‐fed springs, to flowing rivers and streams. The terrestrial matrix can also vary, including in its influence on flows of energy, materials, and organisms among ecosystems. Biota occurring in a specific region are adapted to the unique opportunities and challenges presented by spatial and temporal patterns of habitat types inherent to each FEM. To persist in any given landscape, most species move to recolonize habitats and maintain mixtures of genetic materials. Species also connect habitats through time if they possess needed morphological, physiological, or behavioral traits to persist in a habitat through periods of unfavorable environmental conditions. By examining key spatial and temporal patterns underlying FEMs, and species‐specific adaptations to these patterns, a better understanding of the structural and functional connectivity of a landscape can be obtained. Fully including aquatic, wetland, and terrestrial habitats in FEMs facilitates adoption of the next generation of individual‐based models that integrate the principles of population, community, and ecosystem ecology.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12683","usgsCitation":"Mushet, D.M., Alexander, L.C., Bennet, M., Schofield, K., Christensen, J.R., Ali, G., Pollard, A.I., Fritz, K.M., and Lang, M., 2018, Differing modes of biotic connectivity within freshwater ecosystem mosaics: Journal of the American Water Resources Association, v. 55, no. 2, p. 307-317, https://doi.org/10.1111/1752-1688.12683.","productDescription":"11 p.","startPage":"307","endPage":"317","ipdsId":"IP-093523","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":468461,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12683","text":"Publisher Index Page"},{"id":356967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-24","publicationStatus":"PW","scienceBaseUri":"5b98a26de4b0702d0e842ea8","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":743895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":743896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennet, Micah","contributorId":207475,"corporation":false,"usgs":false,"family":"Bennet","given":"Micah","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":743897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schofield, Kate","contributorId":203960,"corporation":false,"usgs":false,"family":"Schofield","given":"Kate","affiliations":[{"id":36774,"text":"USEPA NCEA","active":true,"usgs":false}],"preferred":false,"id":743898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":743900,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ali, Genevieve","contributorId":204052,"corporation":false,"usgs":false,"family":"Ali","given":"Genevieve","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":743901,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pollard, Amina I.","contributorId":203965,"corporation":false,"usgs":false,"family":"Pollard","given":"Amina","email":"","middleInitial":"I.","affiliations":[{"id":36775,"text":"USEPA, Office of Water","active":true,"usgs":false}],"preferred":false,"id":743899,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fritz, Ken M. 0000-0002-3831-2531","orcid":"https://orcid.org/0000-0002-3831-2531","contributorId":203959,"corporation":false,"usgs":false,"family":"Fritz","given":"Ken","email":"","middleInitial":"M.","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":743902,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lang, Megan","contributorId":156431,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":743903,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70199066,"text":"70199066 - 2018 - Biological connectivity of seasonally ponded wetlands across spatial and temporal scales","interactions":[],"lastModifiedDate":"2019-05-28T16:35:14","indexId":"70199066","displayToPublicDate":"2018-08-30T14:38:35","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Biological connectivity of seasonally ponded wetlands across spatial and temporal scales","docAbstract":"Many species that inhabit seasonally ponded wetlands also rely on surrounding upland habitats and nearby aquatic ecosystems for resources to support life stages and to maintain viable populations. Understanding biological connectivity among these habitats is critical to ensure that landscapes are protected at appropriate scales to conserve species and ecosystem function. Biological connectivity occurs across a range of spatial and temporal scales. For example, at annual time scales many organisms move between seasonal wetlands and adjacent terrestrial habitats as they undergo life‐stage transitions; at generational time scales, individuals may disperse among nearby wetlands; and at multigenerational scales, there can be gene flow across large portions of a species’ range. The scale of biological connectivity may also vary among species. Larger bodied or more vagile species can connect a matrix of seasonally ponded wetlands, streams, lakes, and surrounding terrestrial habitats on a seasonal or annual basis. Measuring biological connectivity at different spatial and temporal scales remains a challenge. Here we review environmental and biological factors that drive biological connectivity, discuss implications of biological connectivity for animal populations and ecosystem processes, and provide examples illustrating the range of spatial and temporal scales across which biological connectivity occurs in seasonal wetlands.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12682","usgsCitation":"Smith, L.L., Subalusky, A., Atkinson, C.L., Earl, J.E., Mushet, D.M., Scott, D.E., Lance, S.L., and Johnson, S.A., 2018, Biological connectivity of seasonally ponded wetlands across spatial and temporal scales: Journal of the American Water Resources Association, v. 55, no. 2, p. 334-353, https://doi.org/10.1111/1752-1688.12682.","productDescription":"10 p.","startPage":"334","endPage":"353","ipdsId":"IP-094347","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488776,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1466083","text":"External Repository"},{"id":356966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-23","publicationStatus":"PW","scienceBaseUri":"5b98a26de4b0702d0e842eaa","contributors":{"authors":[{"text":"Smith, Lora L.","contributorId":207476,"corporation":false,"usgs":false,"family":"Smith","given":"Lora","email":"","middleInitial":"L.","affiliations":[{"id":37541,"text":"Joseph W. Jones Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":743905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Subalusky, Amanda","contributorId":207477,"corporation":false,"usgs":false,"family":"Subalusky","given":"Amanda","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":743906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atkinson, Carla L.","contributorId":207478,"corporation":false,"usgs":false,"family":"Atkinson","given":"Carla","email":"","middleInitial":"L.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":743907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Earl, Julia E.","contributorId":177320,"corporation":false,"usgs":false,"family":"Earl","given":"Julia","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":743908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":743904,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, David E. 0000-0002-7925-7452 dscott@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-7452","contributorId":207479,"corporation":false,"usgs":false,"family":"Scott","given":"David","email":"dscott@usgs.gov","middleInitial":"E.","affiliations":[{"id":37542,"text":"Savannah River Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":743909,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lance, Stacey L.","contributorId":207480,"corporation":false,"usgs":false,"family":"Lance","given":"Stacey","email":"","middleInitial":"L.","affiliations":[{"id":37542,"text":"Savannah River Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":743910,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Steve A.","contributorId":205912,"corporation":false,"usgs":false,"family":"Johnson","given":"Steve","email":"","middleInitial":"A.","affiliations":[{"id":37188,"text":"Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":743911,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70199060,"text":"70199060 - 2018 - Contaminants of emerging concern in urban stormwater: Spatiotemporal patterns and removal by iron-enhanced sand filters (IESFs)","interactions":[],"lastModifiedDate":"2018-08-30T10:42:22","indexId":"70199060","displayToPublicDate":"2018-08-30T10:42:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Contaminants of emerging concern in urban stormwater: Spatiotemporal patterns and removal by iron-enhanced sand filters (IESFs)","docAbstract":"Numerous contaminants of emerging concern (CECs) typically occur in urban rivers. Wastewater effluents are a major source of many CECs. Urban runoff (stormwater) is a major urban water budget component and may constitute another major CEC pathway. Yet, stormwater-based CEC field studies are rare. This research investigated 384 CECs in 36 stormwater samples in Minneapolis-St. Paul, Minnesota, USA. Nine sampling sites included three large stormwater conveyances (pipes) and three paired iron-enhanced sand filters (IESFs; untreated inlets and treated outlets). The 123 detected compounds included commercial-consumer compounds, veterinary and human pharmaceuticals, lifestyle and personal care compounds, pesticides, and others. Thirty-one CECs were detected in ≥50% of samples. Individual samples contained a median of 35 targeted CECs (range: 18–54). Overall, median concentrations were ≥10 ng/L for 25 CECs and ≥100 ng/L for 9 CECs. Ranked, hierarchical linear modeling indicated significant seasonal- and site type-based concentration variability for 53 and 30 CECs, respectively, with observed patterns corresponding to CEC type, source, usage, and seasonal hydrology. A primarily warm-weather, diffuse, runoff-based profile included many herbicides. A second profile encompassed winter and/or late summer samples enriched with some recalcitrant, hydrophobic compounds (e.g., PAHs), especially at pipes, suggesting conservative, less runoff-dependent sources (e.g., sediments). A third profile, indicative of mixed conservative/non-runoff, runoff, and/or atmospheric sources and transport that collectively affect a variety of conditions, included various fungicides, lifestyle, non-prescription, and commercial-consumer CECs. Generally, pipe sites had large, diverse land-use catchments, and showed more frequent detections of diverse CECs, but often at lower concentrations; while untreated sites (with smaller, more residential-catchments) demonstrated greater detections of “pseudo-persistent” and other ubiquitous or residentially-associated CECs. Although untreated stormwater transports an array of CECs to receiving waters, IESF treatment significantly removed concentrations of 14 (29%) of the 48 most detected CECs; for these, median removal efficiencies were 26%–100%. Efficient removal of some hydrophobic (e.g., PAHs, bisphenol A) and polar-hydrophilic (e.g., caffeine, nicotine) compounds indicated particulate-bound contaminant filtration and for certain dissolved contaminants, sorption.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2018.08.020","usgsCitation":"Fairbairn, D.J., Elliott, S.M., Kiesling, R.L., Schoenfuss, H.L., Ferrey, M.L., and Westerhoff, B., 2018, Contaminants of emerging concern in urban stormwater: Spatiotemporal patterns and removal by iron-enhanced sand filters (IESFs): Water Research, v. 145, p. 332-345, https://doi.org/10.1016/j.watres.2018.08.020.","productDescription":"14 p.","startPage":"332","endPage":"345","ipdsId":"IP-094557","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":356946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Minneapolis, St. Paul","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.44696044921875,\n 44.859275967357476\n ],\n [\n -92.95944213867186,\n 44.859275967357476\n ],\n [\n -92.95944213867186,\n 45.08661163034925\n ],\n [\n -93.44696044921875,\n 45.08661163034925\n ],\n [\n -93.44696044921875,\n 44.859275967357476\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"145","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a26ee4b0702d0e842eb4","contributors":{"authors":[{"text":"Fairbairn, David J.","contributorId":207455,"corporation":false,"usgs":false,"family":"Fairbairn","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":743862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":743864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferrey, Mark L.","contributorId":207457,"corporation":false,"usgs":false,"family":"Ferrey","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":743865,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Westerhoff, Benjamin J.","contributorId":207458,"corporation":false,"usgs":false,"family":"Westerhoff","given":"Benjamin J.","affiliations":[{"id":20306,"text":"St. Cloud State University","active":true,"usgs":false}],"preferred":false,"id":743866,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216175,"text":"70216175 - 2018 - Sediment fingerprinting to delineate sources of sediment in the agricultural and forested Smith Creek Watershed, Virginia, USA","interactions":[],"lastModifiedDate":"2020-11-09T15:22:20.957875","indexId":"70216175","displayToPublicDate":"2018-08-30T09:22:06","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Sediment fingerprinting to delineate sources of sediment in the agricultural and forested Smith Creek Watershed, Virginia, USA","docAbstract":"The sediment fingerprinting approach was used to apportion fine‐grained sediment to cropland, pasture, forests, and streambanks in the agricultural and forested Smith Creek, watershed, Virginia. Smith Creek is a showcase study area in the Chesapeake Bay watershed, where management actions to reduce nutrients and sediment are being monitored. Analyses of suspended sediment at the downstream and upstream sampling sites indicated streambanks were the major source of sediment (76% downstream and 70% upstream). Current management strategies proposed to reduce sediment loadings for Smith Creek do not target streambanks as a source of sediment, whereas the results of this study indicate that management strategies to reduce sediment loads in Smith Creek may be effective if directed toward managing streambank erosion. The results of this study also highlight the utility of sediment fingerprinting as a management tool to identify sediment sources.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12680","usgsCitation":"Gellis, A.C., and Gorman Sanisaca, L.E., 2018, Sediment fingerprinting to delineate sources of sediment in the agricultural and forested Smith Creek Watershed, Virginia, USA: Journal of the American Water Resources Association, v. 54, no. 6, p. 1197-1221, https://doi.org/10.1111/1752-1688.12680.","productDescription":"25 p.","startPage":"1197","endPage":"1221","ipdsId":"IP-088475","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":437771,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7RN36Q1","text":"USGS data release","linkHelpText":"Sediment-sample and climate data for the agricultural and forested parts of Smith Creek watershed, Virginia (2012-2015)"},{"id":380299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Smith Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.2608642578125,\n 38.40194908237822\n ],\n [\n -78.848876953125,\n 38.25543637637947\n ],\n [\n -78.7060546875,\n 38.212288054388175\n ],\n [\n -77.95898437499999,\n 39.01918369029134\n ],\n [\n -78.134765625,\n 39.21523130910491\n ],\n [\n -78.365478515625,\n 39.20671884491848\n ],\n [\n -79.2608642578125,\n 38.40194908237822\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"6","noUsgsAuthors":false,"publicationDate":"2018-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":804357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorman Sanisaca, Lillian E. 0000-0003-1711-3864","orcid":"https://orcid.org/0000-0003-1711-3864","contributorId":210381,"corporation":false,"usgs":true,"family":"Gorman Sanisaca","given":"Lillian","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":804358,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198999,"text":"70198999 - 2018 - Elevated aeolian sediment transport on the Colorado Plateau, USA: The role of grazing, vehicle disturbance, and increasing aridity","interactions":[],"lastModifiedDate":"2018-11-14T09:27:13","indexId":"70198999","displayToPublicDate":"2018-08-29T16:05:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Elevated aeolian sediment transport on the Colorado Plateau, USA: The role of grazing, vehicle disturbance, and increasing aridity","docAbstract":"Dryland wind transport of sediment can accelerate soil erosion, degrade air quality, mobilize dunes, decrease water supply, and damage infrastructure. We measured aeolian sediment horizontal mass flux (q) at 100 cm height using passive aspirated sediment traps to better understand q variability on the Colorado Plateau. Measured q‘hot spots’ rival the highest ever recorded including 7,460 g m−2 day−1 in an off‐highway vehicle (OHV) area, but were more commonly 50‐2,000 g m−2 day−1. Overall mean q on rangeland sites was 5.14 g m−2 day−1, considerably lower than areas with concentrated livestock use (9‐19 g m−2 day−1), OHV use (414 g m−2 day−1), and downwind of unpaved roads (13.14 g m−2 day−1), but were higher than areas with minimal soil disturbance (1.60 g m−2 day−1). Rangeland q increased with increasing annual temperature, increased winds, and decreasing precipitation. Spatial modeling suggests that ~92‐93% of regional q occurs in rangelands versus ~7‐8% along unpaved roads. Four of the five largest road qvalues (n=33) measured were along roads used primarily for oil or gas wells. Our findings indicate that predicted future mega‐droughts will increase q disproportionately in disturbed rangelands, and potentially further compromise air quality, hydrologic cycles, and other ecosystem services.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.4457","usgsCitation":"Nauman, T.W., Duniway, M.C., Webb, N.P., and Belnap, J., 2018, Elevated aeolian sediment transport on the Colorado Plateau, USA: The role of grazing, vehicle disturbance, and increasing aridity: Earth Surface Processes and Landforms, v. 43, no. 14, p. 2897-2914, https://doi.org/10.1002/esp.4457.","productDescription":"18 p.","startPage":"2897","endPage":"2914","ipdsId":"IP-091070","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":356937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.23406982421875,\n 37.76202988573211\n ],\n [\n -109.05853271484374,\n 37.76202988573211\n ],\n [\n -109.05853271484374,\n 39.37889504706486\n ],\n [\n -110.23406982421875,\n 39.37889504706486\n ],\n [\n -110.23406982421875,\n 37.76202988573211\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"14","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-13","publicationStatus":"PW","scienceBaseUri":"5b98a26ee4b0702d0e842eb8","contributors":{"authors":[{"text":"Nauman, Travis W. 0000-0001-8004-0608 tnauman@usgs.gov","orcid":"https://orcid.org/0000-0001-8004-0608","contributorId":169241,"corporation":false,"usgs":true,"family":"Nauman","given":"Travis","email":"tnauman@usgs.gov","middleInitial":"W.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Nichloas P.","contributorId":207393,"corporation":false,"usgs":false,"family":"Webb","given":"Nichloas","email":"","middleInitial":"P.","affiliations":[{"id":37528,"text":"USDA-ARS Jornada Experimental Range, PO Box 30003, MSC 3JER, NMSU, Las Cruces, NM 88003, USA","active":true,"usgs":false}],"preferred":false,"id":743717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743716,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200889,"text":"70200889 - 2018 - Using United States Geological Survey stream gages to predict flow and temperature conditions to maintain freshwater mussel habitat","interactions":[],"lastModifiedDate":"2018-11-14T15:22:08","indexId":"70200889","displayToPublicDate":"2018-08-29T15:23:25","publicationYear":"2018","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":"Using United States Geological Survey stream gages to predict flow and temperature conditions to maintain freshwater mussel habitat","docAbstract":"Habitat conditions necessary to support freshwater mussels can be difficult to characterize and predict, particularly for rare or endangered species such as the federally endangered dwarf wedgemussel, Alasmidonta heterodon. In this study, we evaluate flow and temperature conditions in three areas of the mainstem Delaware River known to consistently support A. heterodon, and we develop predictive models using the U.S. Geological Survey (USGS) stream gages and thermal stations in order to identify conditions under which habitat alteration could threaten the species. Flow and temperature prediction models based on nearby existing USGS gage and thermal stations were predictive for all three sites. Both discharge prediction and water depth profile models indicate one location (Site 3) was the most vulnerable to low‐flow conditions as it requires the highest discharge rate (26.3 cms) at the USGS Callicoon gage to maintain both the full wetted perimeter (Pfull) and minimal wetted perimeter (Pmin) and prevent occlusion of areas that contain A. heterodon. Flow management targets aimed at protecting Site 3 should also protect Sites 1 and 2. Although analyses indicated significant benthic habitat available in all three sites even under low discharge rates, specific mussel locations could be vulnerable to dewatering and thermal stress if only Pmin values were maintained. Results indicate the magnitude of site temperature deviations from thermal stations varied by site and river temperature. In general, our results suggest that existing temperature and stream gage infrastructure may be used predictively to evaluate the effects of different flow targets on mainstem Delaware River A. heterodon habitat.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3326","usgsCitation":"Cole, J.C., Townsend, P.A., Eshleman, K.N., St. John White, B., Galbraith, H.S., and Lellis, W.A., 2018, Using United States Geological Survey stream gages to predict flow and temperature conditions to maintain freshwater mussel habitat: River Research and Applications, v. 34, no. 8, p. 977-992, https://doi.org/10.1002/rra.3326.","productDescription":"15 p.","startPage":"977","endPage":"992","ipdsId":"IP-086457","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":437774,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WS8S6V","text":"USGS data release","linkHelpText":"Site bathymetry, water temperature and rating curve 2004 and 2005 data for 3 sites in the Delaware River mainstem"},{"id":359432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.5255126953125,\n 41.3500103516271\n ],\n [\n -74.5477294921875,\n 41.3500103516271\n ],\n [\n -74.5477294921875,\n 42.429538632268276\n ],\n [\n -75.5255126953125,\n 42.429538632268276\n ],\n [\n -75.5255126953125,\n 41.3500103516271\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","scienceBaseUri":"5bed4274e4b0b3fc5cf91c8e","contributors":{"authors":[{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":751069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Townsend, Phillip A. 0000-0001-7003-8774","orcid":"https://orcid.org/0000-0001-7003-8774","contributorId":210594,"corporation":false,"usgs":false,"family":"Townsend","given":"Phillip","email":"","middleInitial":"A.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":751070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eshleman, Keith N.","contributorId":210596,"corporation":false,"usgs":false,"family":"Eshleman","given":"Keith","email":"","middleInitial":"N.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":751071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"St. John White, Barbara 0000-0001-8131-0534 bwhite@usgs.gov","orcid":"https://orcid.org/0000-0001-8131-0534","contributorId":141183,"corporation":false,"usgs":false,"family":"St. John White","given":"Barbara","email":"bwhite@usgs.gov","affiliations":[],"preferred":false,"id":751072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galbraith, Heather S. 0000-0003-3704-3517","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":204518,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":751073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":751074,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}