Herbicide safeners are commonly included in herbicide formulations to selectively protect crops from herbicide toxicity but are poorly understood in terms of their environmental occurrence and fate. This study established an analytical method for a newer safener, cyprosulfamide, and two of its degradates, cyprosulfamide desmethyl and N-cyclopropyl-4-sulfamoylbenzamide, in water via solid-phase extraction and liquid chromatography with tandem mass spectroscopy. To evaluate the potential for off-field transport and transformation of cyprosulfamide, the method was used to analyze groundwater and surface water samples collected near cornfields in the midwestern United States where cyprosulfamide had been applied. All three compounds were detected in surface water samples (N = 34); N-cyclopropyl-4-sulfamoylbenzamide was most frequently detected (56%), followed by cyprosulfamide (25%) and cyprosulfamide desmethyl (19%). Maximum concentrations ranged from 22.0 to 5185.9 ng/L, with the highest concentrations and detection rates during the growing season. None of our target analytes were detected in groundwater.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsagscitech.1c00050","usgsCitation":"McFadden, M.E., and Hladik, M.L., 2021, Cyprosulfamide: Analysis of the herbicide safener and two of its degradates in surface water and groundwater from the Midwestern United States: ACS Agricultural Science and Technology, v. 1, no. 4, p. 355-361, https://doi.org/10.1021/acsagscitech.1c00050.","productDescription":"7 p.","startPage":"355","endPage":"361","ipdsId":"IP-126164","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":387319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.119140625,\n 37.020098201368114\n ],\n [\n -80.15625,\n 37.020098201368114\n ],\n [\n -80.15625,\n 49.15296965617042\n ],\n [\n -97.119140625,\n 49.15296965617042\n ],\n [\n -97.119140625,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McFadden, Monica E 0000-0002-8589-9638","orcid":"https://orcid.org/0000-0002-8589-9638","contributorId":261268,"corporation":false,"usgs":false,"family":"McFadden","given":"Monica","email":"","middleInitial":"E","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":819624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":205314,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819625,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70222363,"text":"70222363 - 2021 - Conservation implications of spatiotemporal variation in the terrestrial ecology of Western spadefoots","interactions":[],"lastModifiedDate":"2021-08-17T14:59:39.589595","indexId":"70222363","displayToPublicDate":"2021-07-19T09:37:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Conservation implications of spatiotemporal variation in the terrestrial ecology of Western spadefoots","docAbstract":"Conservation of species reliant on ephemeral resources can be especially challenging in the face of a changing climate. Western spadefoots (Spea hammondii) are small burrowing anurans that breed in ephemeral pools, but adults spend the majority of their lives underground in adjacent terrestrial habitat. Western spadefoots are of conservation concern throughout their range because of habitat loss, but little is known about the activity patterns and ecology of their terrestrial life stage. We conducted a radio-telemetry study of adult western spadefoots at 2 sites in southern California, USA, from December 2018 to November 2019 to characterize their survival, behavior, and movements from breeding through aestivation to refine conservation and management for the species. Western spadefoot survival varied seasonally, with risk of mortality higher in the active season than during aestivation. The probability of movement between successive observations was higher during the winter and spring and when atmospheric moisture was high and soil water content at 10-cm depth was low. The amount of rain between observations had the strongest effect on the probability of movement between observations; for every 20 mm of rainfall between observations, western spadefoots were 2.4 times more likely to move. When movements occurred, movement rates were highest when both relative humidity and soil water content at 10-cm depth were high. The conditions under which western spadefoots were likely active on the surface, likely to have moved, and moved at the highest rates are conditions that reduce the risk of desiccation of surface-active spadefoots. Western spadefoot home range areas varied between study sites and were mostly <1 ha, although 1 individual's home range area was >6 ha. Western spadefoots rapidly dispersed from the breeding pools, and asymptotic distances from the breeding pool were generally reached by June. The asymptotic distance from the breeding pool varied between sites, with the 95th percentile of the posterior predictive distribution reaching 486 m at 1 site and 187 m at the other. Western spadefoots did not select most habitat components disproportionately to their availability, but at Crystal Cove State Park, they avoided most evaluated vegetation types (graminoids, forbs, and shrubs). Spatial variation was evident in most evaluated western spadefoot behaviors; context-dependent behavior suggests that site-specific management is likely necessary for western spadefoots. Furthermore, comparison with an earlier study of western spadefoots at Crystal Cove State Park indicated substantial temporal variation in western spadefoot behavior. Therefore, basing management decisions on short-term studies might fail to meet conservation objectives. Better understanding the influences of spatial context and climatic variation on western spadefoot behavior will improve conservation efforts for this species.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22095","usgsCitation":"Halstead, B., Baumberger, K.L., Backlin, A.R., Kleeman, P.M., Wong, M.N., Gallegos, E., Rose, J.P., and Fisher, R.N., 2021, Conservation implications of spatiotemporal variation in the terrestrial ecology of Western spadefoots: Journal of Wildlife Management, v. 85, no. 7, p. 1377-1393, https://doi.org/10.1002/jwmg.22095.","productDescription":"17 p.","startPage":"1377","endPage":"1393","ipdsId":"IP-125223","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489101,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22095","text":"Publisher Index Page"},{"id":436269,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P912W368","text":"USGS data release","linkHelpText":"Western Spadefoot Habitat Selection Based on Radio Telemetry in Orange County, California 2019"},{"id":387396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Orange County","otherGeospatial":"Crystal Cove State Park, Limestone Canyon Regional Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.70314216613768,\n 33.6988507346491\n ],\n [\n -117.65378952026366,\n 33.6988507346491\n ],\n [\n -117.65378952026366,\n 33.732620149421436\n ],\n [\n -117.70314216613768,\n 33.732620149421436\n ],\n [\n -117.70314216613768,\n 33.6988507346491\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.80364990234375,\n 33.555701234563486\n ],\n [\n -117.78099060058595,\n 33.57687060377715\n ],\n [\n -117.79163360595703,\n 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kbaumberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2150-6372","contributorId":225260,"corporation":false,"usgs":true,"family":"Baumberger","given":"Katherine","email":"kbaumberger@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 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egallegos@usgs.gov","orcid":"https://orcid.org/0000-0002-8402-2631","contributorId":1528,"corporation":false,"usgs":true,"family":"Gallegos","given":"Elizabeth","email":"egallegos@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819761,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819762,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":819763,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70222509,"text":"70222509 - 2021 - Miocene neritic benthic foraminiferal community dynamics, Calvert Cliffs, Maryland, USA: Species pool, patterns and processes","interactions":[],"lastModifiedDate":"2021-08-02T14:45:47.370559","indexId":"70222509","displayToPublicDate":"2021-07-19T09:37:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3000,"text":"Palaios","active":true,"publicationSubtype":{"id":10}},"title":"Miocene neritic benthic foraminiferal community dynamics, Calvert Cliffs, Maryland, USA: Species pool, patterns and processes","docAbstract":"The presence/absence and abundance of benthic foraminifera in successive discrete beds (Shattuck “zones”) of the Miocene Calvert and Choptank formations, exposed at the Calvert Cliffs, Maryland, USA, allows for investigation of community dynamics over space and time. The stratigraphic distribution of benthic foraminifera is documented and interpreted in the context of sea-level change, sequence stratigraphy, and the previously published distribution of mollusks. Neritic benthic foraminiferal communities of four sea-level cycles over ∼4 million years of the middle Miocene, encompassing the Miocene Climatic Optimum and the succeeding middle Miocene Climate Transition, are dominated by the same abundant species. They differ in the varying abundance of common species that occur throughout most of the studied section and in the different rare species that appear and disappear. Transgressive systems tracts (TSTs) have higher species diversity than highstand systems tracts (HSTs) but much lower density of specimens. In contrast to some previous research, all beds in the studied section are interpreted as being from the inner part of a broad, low gradient shelf and were deposited at water depths of less than ∼50 m. It is suggested that species are recruited from a regional species pool of propagules throughout the duration of TSTs. Recruitment is curtailed during highstands leading to lower diversity in the HSTs.
","language":"English","publisher":"SEPM Society for Sedimentary Geology","doi":"10.2110/palo.2020.069","usgsCitation":"Culver, S.J., Sutton, S., Mallinson, D.J., Buzas, M.A., Robinson, M., and Dowsett, H., 2021, Miocene neritic benthic foraminiferal community dynamics, Calvert Cliffs, Maryland, USA: Species pool, patterns and processes: Palaios, v. 36, no. 7, p. 247-259, https://doi.org/10.2110/palo.2020.069.","productDescription":"13 p.","startPage":"247","endPage":"259","ipdsId":"IP-122997","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":387628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Calvert Cliffs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.5966796875,\n 38.315801006824984\n ],\n [\n -76.365966796875,\n 38.315801006824984\n ],\n [\n -76.365966796875,\n 38.89530825492018\n ],\n [\n -76.5966796875,\n 38.89530825492018\n ],\n [\n -76.5966796875,\n 38.315801006824984\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Culver, Stephen J.","contributorId":198984,"corporation":false,"usgs":false,"family":"Culver","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":820359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sutton, Seth R","contributorId":261662,"corporation":false,"usgs":false,"family":"Sutton","given":"Seth R","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":820360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mallinson, David J.","contributorId":198986,"corporation":false,"usgs":false,"family":"Mallinson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":820361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buzas, Martin A","contributorId":261663,"corporation":false,"usgs":false,"family":"Buzas","given":"Martin","email":"","middleInitial":"A","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":820362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Marci M. 0000-0002-9200-4097","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":261664,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":820363,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":261665,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":820364,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227749,"text":"70227749 - 2021 - Spatial and temporal variation in length-weight relationships of age-0 Scaphirhynchus sturgeon in the lower Missouri River","interactions":[],"lastModifiedDate":"2022-01-28T15:28:49.002502","indexId":"70227749","displayToPublicDate":"2021-07-19T09:05:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variation in length-weight relationships of age-0 Scaphirhynchus sturgeon in the lower Missouri River","docAbstract":"Length-weight relationships can be useful tools for assessing fish condition. We developed these equations (W = aLb) for wild-caught age-0 (4.1–12.0 cm) Scaphirhynchus sturgeon from eight reaches spanning over 750 river km of the lower Missouri River from 2014 to 2017. We used nonlinear modeling to estimate the constant (a) and exponent (b) of the LW equation for each reach to assess potential spatial differences. We also assessed long-term temporal effects by estimating these parameters by year at Lexington reach, which is located in the middle of our sampling area and was the only reach sampled all 4 y. Constant and exponent estimates from linearized regressions varied by reach and were inversely related during the spatial analyses. Similarly, parameter estimates were also inversely related and varied among years during the temporal analysis at Lexington. To account for the relationship between constant and exponent values, we used predicted weights at 2 cm increments (4.1–12.0 cm) for the spatial analysis (by reach) and for the temporal analysis (by year). During the 2014 and 2015 spatial analyses, weights varied by size but were usually higher in Lexington and Glasgow, which were the furthest upstream reaches sampled during those years. During 2016 and 2017, Lexington was the furthest downstream reach sampled but did not consistently yield relatively high predicted weights. Temporal analysis at Lexington yielded higher predicted weights for 2014–2015 compared to 2016–2017 for higher size categories (10- and 12-cm). In general our results suggest differences in body condition among reaches and years in the lower Missouri River. Further research is needed to identify the specific mechanisms driving spatial and temporal L-W relationship differences observed and to determine if differences in predicted body conditions affect long-term survival and recruitment of age-0 Scaphirhynchus sturgeon. Currently, factors influencing age-0 Scaphirhynchus sturgeon condition and growth are unknown and this work serves to highlight knowledge gaps regarding factors influencing Scaphirhynchus sturgeon recruitment.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-186.1.106","usgsCitation":"Gonzalez, A., Long, J.M., Gosch, N.J., Civiello, A., Gemeinhardt, T., and Hall, J.R., 2021, Spatial and temporal variation in length-weight relationships of age-0 Scaphirhynchus sturgeon in the lower Missouri River: American Midland Naturalist, v. 186, no. 1, p. 106-121, https://doi.org/10.1674/0003-0031-186.1.106.","productDescription":"17 p.","startPage":"106","endPage":"121","ipdsId":"IP-108837","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Kansas, Missouri, Nebraska","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.8277587890625,\n 42.79540065303723\n ],\n [\n -97.294921875,\n 42.80346172417078\n ],\n [\n -96.668701171875,\n 42.46399280017058\n ],\n [\n -96.25671386718749,\n 41.80817277478235\n ],\n [\n -96.1578369140625,\n 41.33970040774419\n ],\n [\n -95.965576171875,\n 40.622291783092706\n ],\n [\n -95.570068359375,\n 40.04443758460856\n ],\n [\n -95.020751953125,\n 39.76632525654491\n ],\n [\n -95.2679443359375,\n 39.58029027440865\n ],\n [\n -94.8944091796875,\n 39.13006024213511\n ],\n [\n -94.449462890625,\n 39.0533181067413\n ],\n [\n -94.273681640625,\n 39.14710270770074\n ],\n [\n -94.0814208984375,\n 39.031986028740086\n ],\n [\n -93.1256103515625,\n 39.257778150283364\n ],\n [\n -92.999267578125,\n 39.18117526158749\n ],\n [\n -93.03771972656249,\n 39.00637903337455\n ],\n [\n -92.61474609375,\n 38.852542390364235\n ],\n [\n -92.4005126953125,\n 38.59540719940386\n ],\n [\n -92.01599121093749,\n 38.453588708941375\n ],\n [\n -91.746826171875,\n 38.62116234642254\n ],\n [\n -91.3568115234375,\n 38.62545397209084\n ],\n [\n -90.90087890624999,\n 38.46219172306828\n ],\n [\n -90.252685546875,\n 38.77978137804918\n ],\n [\n -90.0933837890625,\n 38.81403111409755\n ],\n [\n -90.06591796875,\n 38.950865400919994\n ],\n [\n -90.406494140625,\n 38.93377552819722\n ],\n [\n -90.94482421875,\n 38.68122173079789\n ],\n [\n -91.351318359375,\n 38.81403111409755\n ],\n [\n -91.7852783203125,\n 38.80118939192329\n ],\n [\n -92.0599365234375,\n 38.646908247760706\n ],\n [\n -92.252197265625,\n 38.732661120482334\n ],\n [\n -92.373046875,\n 38.94232097947902\n ],\n [\n -92.801513671875,\n 39.11727568585598\n ],\n [\n -92.7685546875,\n 39.26203141523749\n ],\n [\n -93.1585693359375,\n 39.54217596171196\n ],\n [\n -93.416748046875,\n 39.37252570201878\n ],\n [\n -94.053955078125,\n 39.257778150283364\n ],\n [\n -94.273681640625,\n 39.342794408952365\n ],\n [\n -94.5098876953125,\n 39.24501680713314\n ],\n [\n -94.757080078125,\n 39.287545585410435\n ],\n [\n -94.9603271484375,\n 39.5633531658293\n ],\n [\n -94.76806640624999,\n 39.78321267821705\n ],\n [\n -94.8834228515625,\n 39.985538414809746\n ],\n [\n -95.086669921875,\n 39.977120098439634\n ],\n [\n -95.2899169921875,\n 40.12009038025332\n ],\n [\n -95.635986328125,\n 40.693134153308065\n ],\n [\n -95.7843017578125,\n 41.352072144512924\n ],\n [\n -95.9271240234375,\n 41.83682786072714\n ],\n [\n -96.35009765625,\n 42.55712670332118\n ],\n [\n -97.13012695312499,\n 42.94436044696629\n ],\n [\n -97.9156494140625,\n 42.96848221128033\n ],\n [\n -97.8277587890625,\n 42.79540065303723\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"186","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gonzalez, A.","contributorId":272273,"corporation":false,"usgs":false,"family":"Gonzalez","given":"A.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gosch, N. J. C.","contributorId":272518,"corporation":false,"usgs":false,"family":"Gosch","given":"N.","email":"","middleInitial":"J. C.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":832030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Civiello, A. P.","contributorId":272519,"corporation":false,"usgs":false,"family":"Civiello","given":"A. P.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":832031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gemeinhardt, T.R.","contributorId":272520,"corporation":false,"usgs":false,"family":"Gemeinhardt","given":"T.R.","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":832032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hall, J. R.","contributorId":272561,"corporation":false,"usgs":false,"family":"Hall","given":"J.","email":"","middleInitial":"R.","affiliations":[{"id":17640,"text":"Nebraska Game and Parks Commission","active":true,"usgs":false}],"preferred":false,"id":832141,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223114,"text":"70223114 - 2021 - Incorporation of non-native species in the diets of cisco (Coregonus artedi) from eastern Lake Ontario","interactions":[],"lastModifiedDate":"2021-08-11T12:50:04.835719","indexId":"70223114","displayToPublicDate":"2021-07-19T07:46:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Incorporation of non-native species in the diets of cisco (Coregonus artedi) from eastern Lake Ontario","docAbstract":"Cisco Coregonus artedi was once an important native fish in Lake Ontario; however, after multiple population crashes, the cisco stock has yet to recover to historic abundances. Rehabilitation of cisco in Lake Ontario is a fish community management objective, but the extent to which recent non-native species and pelagic food web changes have influenced cisco is not well understood. We described cisco diets in contemporary Lake Ontario following the addition and spread of non-native zooplankton species. We collected 618 cisco and processed 178 for full diet analysis in eastern Lake Ontario using mid-water trawls and bottom-set gill nets from 2016 to 2020. We found that Lake Ontario cisco were mostly zooplanktivorous, and non-native zooplankton dominated their diet during July and September. Cisco smaller than 300 mm had a more diverse diet including both native and non-native zooplankton, while cisco larger than 300 mm fed almost exclusively on non-native predatory cladocerans Bythotrephes longimanus and Cercopagis pengoi (98.9% consumed prey dry mass). We also found fish eggs, presumed to be of coregonine origin in 75% of non-empty December-collected cisco diets, suggesting eggs subsidize cisco diets when available. Juvenile round goby Neogobius melanostomus, alewife Alosa pseudoharengus and rainbow smelt Osmerus mordax were found in 2% of all analyzed non-empty stomachs. Lake Ontario cisco diet appears to be more similar to zooplanktivorous Lake Superior cisco than Lake Michigan where piscivory is prevalent. Lake Ontario cisco diets reflected zooplankton community changes indicating that non-native predatory cladocerans are now an important energy source supporting this native species.
Seismic interferometry is widely applied to retrieve wavefields propagating between receivers. Another version of seismic interferometry, called inter-source interferometry, uses the principles of seismic reciprocity and expands interferometric applications to retrieve waves that propagate between two seismic sources. Previous studies of inter-source interferometry usually involve surface-wave and coda-wave estimations. We use inter-source interferometry to estimate the P-waves propagating between two sources rather than the estimation of surface waves and coda waves. We show that the recovered arrival times are dependent on the accuracy of the earthquake catalog of the two sources. Using inter-source interferometry, one can recover the waveform of the direct body waves and potentially reconstruct the waveform of coda waves, depending on the source-receiver geometry. The retrieval of these waveforms is accurate only when the wavefield is sampled with approximately 4 receivers per wavelength in the stationary phase zone. We show that using only receivers inside the stationary phase region for inter-source interferometry introduces the phase error of approximately 0.3 radians. In our study, we show an example of the P-wavefield reconstruction between two earthquakes using the seismic records from an array along San Andreas Fault. The retrieved P waves give a qualitative estimation of the thickness of the low-velocity zone of San Andreas Fault of approximately 4 km.
We present a regression model for estimating mean August baseflow per square kilometer of drainage area to help resource managers assess relative amounts of baseflow in Maine streams with Atlantic Salmon habitat. The model was derived from mean August baseflows computed at 31 USGS streamflow gages in Maine. We use an ordinary least squares regression model to estimate mean August baseflow per unit drainage area from two explanatory variables: percentage of the basin underlain by sand and gravel aquifers and mean July precipitation in the basin. This model provides the ability to estimate mean August baseflow in cubic meters per second per square kilometer of basin area on user-selected, ungaged sites throughout Maine south of 46° 21′55″ N latitude. The model has an adjusted R2 of 0.78 and a mean 95% prediction interval of plus or minus 0.002 cubic meters per second per square kilometer. A map of the Narraguagus watershed in eastern coastal Maine shows reaches color coded by relative amounts of baseflow predicted by the model as an example of how this method could be applied throughout Maine. The map can be used to identify reaches with relatively higher amounts of baseflow during summer low flows for habitat conservation and restoration work. These areas have the potential to be high-quality habitat for Atlantic salmon and other cold-water fish because baseflows are known to moderate stream temperatures in summer low-flow periods.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3835","usgsCitation":"Lombard, P.J., Dudley, R., Collins, M.J., Saunders, R., and Atkinson, E., 2021, Model estimated baseflow for streams with endangered Atlantic Salmon in Maine, USA: River Research and Applications, v. 37, no. 9, p. 1254-1264, https://doi.org/10.1002/rra.3835.","productDescription":"11 p.","startPage":"1254","endPage":"1264","ipdsId":"IP-124443","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":451480,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.3835","text":"Publisher Index Page"},{"id":436271,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KRSNU7","text":"USGS data release","linkHelpText":"Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 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\"}}]}","volume":"37","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":203509,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela","email":"","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":220211,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Matthias J. 0000-0003-4238-2038","orcid":"https://orcid.org/0000-0003-4238-2038","contributorId":196365,"corporation":false,"usgs":false,"family":"Collins","given":"Matthias","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":819725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saunders, Rory","contributorId":261311,"corporation":false,"usgs":false,"family":"Saunders","given":"Rory","email":"","affiliations":[{"id":52809,"text":"NOAA, National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":819726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atkinson, Ernie","contributorId":261312,"corporation":false,"usgs":false,"family":"Atkinson","given":"Ernie","email":"","affiliations":[{"id":52810,"text":"Maine Department of Marine Resources, Division of Sea-run Fisheries","active":true,"usgs":false}],"preferred":false,"id":819727,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70222387,"text":"70222387 - 2021 - Experimental evaluation of spatial capture–recapture study design","interactions":[],"lastModifiedDate":"2021-10-06T15:34:25.246554","indexId":"70222387","displayToPublicDate":"2021-07-18T07:24:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Experimental evaluation of spatial capture–recapture study design","docAbstract":"A principal challenge impeding strong inference in analyses of wild populations is the lack of robust and long-term data sets. Recent advancements in analytical tools used in wildlife science may increase our ability to integrate smaller data sets and enhance the statistical power of population estimates. One such advancement, the development of spatial capture–recapture (SCR) methods, explicitly accounts for differences in spatial study designs, making it possible to equate multiple study designs in one analysis. SCR has been shown to be robust to variation in design as long as minimal sampling guidance is adhered to. However, these expectations are based on simulation and have yet to be evaluated in wild populations. Here we conduct a rigorously designed field experiment by manipulating the arrangement of artificial cover objects (ACOs) used to collect data on red-backed salamanders (Plethodon cinereus) to empirically evaluate the effects of design configuration on inference made using SCR. Our results suggest that, using SCR, estimates of space use and detectability are sensitive to study design configuration, namely the spacing and extent of the array, and that caution is warranted when assigning biological interpretation to these parameters. However, estimates of population density remain robust to design except when the configuration of detectors grossly violates existing recommendations.
Resource allocation for land acquisition is a common multi-objective problem that involves complex trade-offs. The National Wildlife Refuge System (NWRS) of the U.S. Fish and Wildlife Service currently uses the Targeted Resource Acquisition Comparison Tool (TRACT) to allocate funds from the Migratory Bird Conservation Fund (MBCF; established through the Migratory Bird Hunting and Conservation Act of 1934) for land acquisition based on cost-benefit analysis, regional priority rankings of candidate land parcels available for acquisition, and the overall biological contribution to duck population objectives. However, current policy encourages decision makers to consider societal and economic benefits of lands acquired, in addition to their biological benefits to waterfowl. These decisions about portfolio elements (i.e. individual land parcels) require an analysis of the difficult trade-offs among multiple objectives. In the last decade the application of multi-criteria decision analysis (MCDA) methods has been instrumental in aiding decision makers with complex multi-objective decisions. In this study, we present an alternative approach to developing land acquisition portfolios using MCDA and Modern Portfolio Theory (MPT). We describe the development of a portfolio decision analysis tool using constrained optimization for land acquisition decisions by the NWRS. We outline the decision framework, describe development of the prototype tool in Microsoft Excel, and test the results of the tool using land parcels submitted as candidates for MBCF funding in 2019. Our results indicate that the constrained optimization outperformed the traditional TRACT method and ad hoc portfolios developed using current NWRS criteria.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2420","usgsCitation":"Krainyk, A., Lyons, J., Rice, M.B., Fowler, K., Soulliere, G.J., Brasher, M.G., Humburg, D.D., and Coluccy, J.M., 2021, Multicriteria decisions and portfolio analysis: Land acquisition for biological and social objectives: Ecological Applications, v. 31, no. 2, e02420, 46 p., https://doi.org/10.1002/eap.2420.","productDescription":"e02420, 46 p.","ipdsId":"IP-108367","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":387464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Krainyk, Anastasia Ihorvina 0000-0002-3100-9011","orcid":"https://orcid.org/0000-0002-3100-9011","contributorId":261353,"corporation":false,"usgs":true,"family":"Krainyk","given":"Anastasia Ihorvina","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":261354,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Mindy B.","contributorId":214399,"corporation":false,"usgs":false,"family":"Rice","given":"Mindy","email":"","middleInitial":"B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":819917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fowler, Kenneth A.","contributorId":261355,"corporation":false,"usgs":false,"family":"Fowler","given":"Kenneth A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":819918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soulliere, Gregory J.","contributorId":172329,"corporation":false,"usgs":false,"family":"Soulliere","given":"Gregory","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":819919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brasher, Michael G.","contributorId":214393,"corporation":false,"usgs":false,"family":"Brasher","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":819920,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":819921,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Coluccy, John M.","contributorId":214395,"corporation":false,"usgs":false,"family":"Coluccy","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":819922,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70222346,"text":"70222346 - 2021 - The Chesapeake Bay program modeling system: Overview and recommendations for future development","interactions":[],"lastModifiedDate":"2021-07-22T14:30:50.592821","indexId":"70222346","displayToPublicDate":"2021-07-17T09:14:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"The Chesapeake Bay program modeling system: Overview and recommendations for future development","docAbstract":"The Chesapeake Bay is the largest, most productive, and most biologically diverse estuary in the continental United States providing crucial habitat and natural resources for culturally and economically important species. Pressures from human population growth and associated development and agricultural intensification have led to excessive nutrient and sediment inputs entering the Bay, negatively affecting the health of the Bay ecosystem and the economic services it provides. The Chesapeake Bay Program (CBP) is a unique program formally created in 1983 as a multi-stakeholder partnership to guide and foster restoration of the Chesapeake Bay and its watershed. Since its inception, the CBP Partnership has been developing, updating, and applying a complex linked modeling system of watershed, airshed, and estuary models as a planning tool to inform strategic management decisions and Bay restoration efforts. This paper provides a description of the 2017 CBP Modeling System and the higher trophic level models developed by the NOAA Chesapeake Bay Office, along with specific recommendations that emerged from a 2018 workshop designed to inform future model development. Recommendations highlight the need for simulation of watershed inputs, conditions, processes, and practices at higher resolution to provide improved information to guide local nutrient and sediment management plans. More explicit and extensive modeling of connectivity between watershed landforms and estuary sub-areas, estuarine hydrodynamics, watershed and estuarine water quality, the estuarine-watershed socioecological system, and living resources will be important to broaden and improve characterization of responses to targeted nutrient and sediment load reductions. Finally, the value and importance of maintaining effective collaborations among jurisdictional managers, scientists, modelers, support staff, and stakeholder communities is emphasized. An open collaborative and transparent process has been a key element of successes to date and is vitally important as the CBP Partnership moves forward with modeling system improvements that help stakeholders evolve new knowledge, improve management strategies, and better communicate outcomes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2021.109635","usgsCitation":"Hood, R., Shenk, G.W., Dixon, R.L., Smith, S.M., Ball, W.P., Bash, J., Batiuk, R., Boomer, K., Brady, D.C., Cerco, C., Claggett, P., de Mutsert, K., Easton, Z.M., Elmore, A., Friedrichs, M.A., Harris, L.A., Ihde, T.F., Lacher, I., Li, L., Linker, L.C., Miller, A., Moriarty, J., Noe, G.E., Onyullo, G., Rose, K.A., Skalak, K., Tian, R., Veith, T.L., Wainger, L.A., Weller, D.E., and Zhang, Y.J., 2021, The Chesapeake Bay program modeling system: Overview and recommendations for future development: Ecological Modelling, v. 456, 109635, 28 p., https://doi.org/10.1016/j.ecolmodel.2021.109635.","productDescription":"109635, 28 p.","ipdsId":"IP-129202","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience 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M.","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":819705,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Harris, Lora A.","contributorId":202883,"corporation":false,"usgs":false,"family":"Harris","given":"Lora","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":819706,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ihde, Thomas F.","contributorId":261321,"corporation":false,"usgs":false,"family":"Ihde","given":"Thomas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":819707,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lacher, Iara","contributorId":147432,"corporation":false,"usgs":false,"family":"Lacher","given":"Iara","email":"","affiliations":[],"preferred":false,"id":819708,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Li, Li","contributorId":261322,"corporation":false,"usgs":false,"family":"Li","given":"Li","affiliations":[],"preferred":false,"id":819709,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Linker, Lewis C. 0000-0002-3456-3659","orcid":"https://orcid.org/0000-0002-3456-3659","contributorId":252964,"corporation":false,"usgs":false,"family":"Linker","given":"Lewis","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":819710,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Miller, Andrew","contributorId":200717,"corporation":false,"usgs":false,"family":"Miller","given":"Andrew","affiliations":[],"preferred":false,"id":819711,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Moriarty, Julia 0000-0003-1087-6180","orcid":"https://orcid.org/0000-0003-1087-6180","contributorId":261307,"corporation":false,"usgs":false,"family":"Moriarty","given":"Julia","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":819712,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":37277,"text":"WMA - 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2021 - Supporting cost-effective watershed management strategies for Chesapeake Bay using a modeling and optimization framework","interactions":[],"lastModifiedDate":"2021-10-11T12:37:34.100588","indexId":"70224975","displayToPublicDate":"2021-07-17T07:30:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"Supporting cost-effective watershed management strategies for Chesapeake Bay using a modeling and optimization framework","docAbstract":"Extensive efforts to adaptively manage nutrient pollution rely on Chesapeake Bay Program's (Phase 6) Watershed Model, called Chesapeake Assessment Scenario Tool (CAST), which helps decision-makers plan and track implementation of Best Management Practices (BMPs). We describe mathematical characteristics of CAST and develop a constrained nonlinear BMP-subset model, software, and visualization framework. This represents the first publicly available optimization framework for exploring least-cost strategies of pollutant load control for the United States' largest estuary. The optimization identifies implementation options for a BMP subset modeled with load reduction effectiveness factors, and the web interface facilitates interactive exploration of >30,000 solutions organized by objective, nutrient control level, and for ~200 counties. We assess framework performance and demonstrate modeled cost improvements when comparing optimization-suggested proposals with proposals inspired by jurisdiction plans. Stakeholder feedback highlights the framework's current utility for investigating cost-effective tradeoffs and its usefulness as a foundation for future analysis of restoration strategies.
Biological soil crusts (biocrusts) are communities predominately comprised of lichens, bryophytes, fungi, algae, and cyanobacteria that form at the soil surface in dryland ecosystems worldwide. Biocrusts can influence the vascular plant community by altering surface hydrology, nutrient cycling, and the availability of microsites suitable for germination. Fire frequency has increased in many dryland systems, but the potential impacts of fire on biocrust-plant interactions remains unclear. Our study explores how biocrusts and the heating associated with fire affect plant growth across five North American desert sites: the Chihuahuan, Colorado Plateau, Great Basin, Mojave, and Sonoran. Using field-collected biocrusts and mineral soil samples from each of these five deserts, we investigated soil biogeochemical differences and the implications of soil heating and biocrust cover on greenhouse grown Elymus elymoides plants. Results showed plant biomass and leaf production were largely determined by the desert where soils originated, and that the soils collected from the Great Basin site, whether heated or not, were generally higher in nutrients and distinct from the other North American desert sites. In contrast, the Chihuahuan site was lower in nutrients and plant biomass growth compared with the other desert sites. In the short term, biocrusts and heating did not significantly affect the biogeochemical profile of individual desert site soils. However, biocrusts and soil heating positively influenced plant growth, and the combination of these factors influenced plants more strongly than either factor considered separately. These findings highlight the importance of biocrusts in mediating resources and suggest additional mechanisms through which fire may alter or accentuate dynamics between biocrusts and vascular plants.
The fresh groundwater system at Fire Island National Seashore in New York is one of the natural resources that is most vulnerable to climate change; the various federally listed threatened or endangered species that live on Fire Island, including the piping plover, roseate tern shorebird, and seabeach amaranth may be affected by changes in the groundwater system. The U.S. Geological Survey, in cooperation with the National Park Service, developed a three-dimensional groundwater-flow model to simulate climate-change-related changes in depth to the water table and depth to freshwater/saltwater interfaces on Fire Island. An existing SEAWAT three-dimensional variable-density groundwater flow and transport model was converted to a MODFLOW–NWT three-dimensional finite-difference groundwater model with the Seawater Intrusion (SWI2) package and recalibrated using the UCODE_2005 automatic calibration software. The simulated groundwater divide was found to be skewed strongly toward the ocean shore in response to the modeled wave setup and tidal pumping overheight.
Effects of climate change include sea-level rise and changes in groundwater recharge rates. Sea-level rise scenarios included specified uniform steady states at 0.2-, 0.4-, and 0.6-meter increases above the 2015 level, applied to the existing topography. A high-recharge scenario was created by increasing 2015 recharge rates by 10 percent. Under all scenarios except the low-recharge scenario, the depth to the water table and the thickness of the unsaturated zone decreased. The thickness of the freshwater lens decreased under every scenario. Resulting maps were generated on a 25-meter grid and indicate changes in areas where natural resources may be vulnerable because of projected climate changes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205117","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Misut, P.E., and Dressler, S., 2021, Simulation of water-table and freshwater/saltwater interface response to climate-change-driven sea-level rise and changes in recharge at Fire Island National Seashore, New York: U.S. Geological Survey Scientific Investigations Report 2020–5117, 47 p., https://doi.org/10.3133/sir20205117.","productDescription":"Report: vii, 47 p.; Data Release","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-082635","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":387031,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95TBIMW","text":"USGS data release","linkHelpText":"MODFLOW-NWT model used to simulate water-table and freshwater/saltwater interface response to climate-change-driven sea-level rise and changes in recharge at the Fire Island National Seashore, New York"},{"id":387039,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205104","text":"Scientific Investigations Report 2020–5104","linkHelpText":"- Simulated Effects of Sea-Level Rise on the Shallow, Fresh Groundwater System of Assateague Island, Maryland and Virginia"},{"id":387038,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205080","text":"Scientific Investigations Report 2020–5080","linkHelpText":"- Simulation of Water-Table Response to Sea-Level Rise and Change in Recharge, Sandy Hook Unit, Gateway National Recreation Area, New Jersey"},{"id":387030,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5117/sir20205117.pdf","text":"Report","size":"21.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5117"},{"id":387029,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5117/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.31314086914062,\n 40.614994915836924\n ],\n [\n -73.2513427734375,\n 40.612909950230936\n ],\n [\n -73.06869506835938,\n 40.65563874006118\n ],\n [\n -72.84072875976562,\n 40.730608477796636\n ],\n [\n -72.75146484374999,\n 40.763901280945866\n ],\n [\n -72.76931762695312,\n 40.77534183237267\n ],\n [\n -72.83798217773438,\n 40.74725696280421\n ],\n [\n -72.96157836914061,\n 40.72228267283148\n ],\n [\n -73.08792114257812,\n 40.66918118282895\n ],\n [\n -73.2403564453125,\n 40.637925243274374\n ],\n [\n -73.30215454101562,\n 40.63375667842965\n ],\n [\n -73.32687377929688,\n 40.62020704520565\n ],\n [\n -73.31314086914062,\n 40.614994915836924\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
The Sandy Hook Unit, Gateway National Recreation Area (hereafter Sandy Hook) in New Jersey is a 10-kilometer-long spit visited by thousands of people each year who take advantage of the historical and natural resources and recreational opportunities. The historical and natural resources are threatened by global climate change, including sea-level rise (SLR), changes in precipitation and groundwater recharge, and changes in the frequency and severity of coastal storms. Fresh groundwater resources are important to the ecosystems of Sandy Hook. The Bayside Holly Forest, one of only two known old-growth American holly (Ilex opaca) maritime forests, is particularly vulnerable to global climate change because of the proximity of the water table to land surface in low-lying areas and the potential for saltwater intrusion and inundation.
The shallow groundwater-flow system on Sandy Hook is dominated by recharge from precipitation, fresh groundwater discharge to evapotranspiration (ET), discharge to surface seeps, and submarine groundwater discharge (groundwater discharging directly to the ocean). A three-dimensional groundwater-flow model that simulates the shallow groundwater-flow system and interaction with surrounding saltwater boundaries was constructed to simulate multi-density groundwater flow, treating the freshwater/saltwater transition zone as a sharp interface that represents the half-seawater surface.
Groundwater-flow simulations completed for this study include a Baseline scenario, three SLR scenarios (0.2, 0.4, and 0.6 meter [m]), two Recharge scenarios—a 10-percent Increased Recharge scenario and a 10-percent Decreased Recharge scenario—and a scenario with 0.6 m of SLR and 10-percent increase in recharge. The Recharge scenarios indicate the system is not sensitive to a 10-percent increase or decrease in recharge from the Baseline scenario. In the SLR scenarios, SLR causes the water table to rise, resulting in increased fresh groundwater discharge to ET and seeps, and reduced submarine discharge compared to the Baseline scenario. The increased discharge to ET and seeps causes the magnitude of water-table rise to be less than that of SLR, which in turn causes the thickness of the freshwater lens to thin, reducing the depth to the half-seawater surface. Water-table rise associated with SLR diminishes the thickness of the unsaturated zone; comparing the Baseline and the 0.6-m SLR scenarios, the area where the simulated water table is above land surface increases by 50.6 hectares, from about 0.9 to 7.4 percent of the land area of Sandy Hook. Areas where the simulated water table is above land surface are likely to be emergent wetlands and contain freshwater if they are tens of meters or more from the shoreline. The steady-state simulations indicate that the percentage of land where the half-seawater surface is less than 9 m below the water table increases from about 2.5 percent (20 hectares) to about 9 percent (74 hectares) with 0.6 m of SLR. In low-lying areas close to the Sandy Hook Bay shoreline, the half-seawater surface is simulated to be as much as 20 m closer to the water table with SLR of 0.6 m. Transient salinization, if any, of shallow groundwater from increased frequency or severity of storm-driven inundation is not included in the analysis.
Natural resources on Sandy Hook, particularly the Bayside Holly Forest, may be adversely affected by the rising water table associated with SLR. Freshwater emergent wetlands may increase in area at the expense of other ecosystem assemblages occurring in or on the edges of low-lying enclosed depressions. Cultural resources close to the water table, such as existing basements of structures, may be adversely affected.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205080","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Carleton, G.B., Charles, E.G., Fiore, A.R., and Winston, R.B., 2021, Simulation of water-table response to sea-level rise and change in recharge, Sandy Hook unit, Gateway National Recreation Area, New Jersey: U.S. Geological Survey Scientific Investigations Report 2020–5080, 91 p., https://doi.org/10.3133/sir20205080.","productDescription":"Report: ix, 91 p.; Data Release","numberOfPages":"91","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-081081","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":387036,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205117","text":"Scientific Investigations Report 2020–5117","linkHelpText":"- Simulation of Water-Table and Freshwater/Saltwater Interface Response to Climate-Change-Driven Sea-Level Rise and Changes in Recharge at Fire Island National Seashore, New York"},{"id":387037,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205104","text":"Scientific Investigations Report 2020–5104","linkHelpText":"- Simulated Effects of Sea-Level Rise on the Shallow, Fresh Groundwater System of Assateague Island, Maryland and Virginia"},{"id":387032,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BP018M","text":"USGS data release","linkHelpText":"MODFLOW-2005 with SWI2 used to evaluate the water-table response to sea-level rise and change in recharge, Sandy Hook Unit, Gateway National Recreation Area, New Jersey"},{"id":387033,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5080/coverthb.jpg"},{"id":387034,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5080/sir20205080.pdf","text":"Report","size":"19.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5080"}],"country":"United States","state":"New Jersey","otherGeospatial":"Gateway National Recreation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.04716491699219,\n 40.39467254512293\n ],\n [\n -73.95927429199219,\n 40.39467254512293\n ],\n [\n -73.95927429199219,\n 40.49239284038429\n ],\n [\n -74.04716491699219,\n 40.49239284038429\n ],\n [\n -74.04716491699219,\n 40.39467254512293\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike
Lawrenceville, NJ 08648
Wetlands along upper estuaries are characterized by dynamic transitions between forested and herbaceous communities (marsh) as salinity, hydroperiod, and nutrients change. The importance of belowground net primary productivity (BNPP) associated with fine and coarse root growth also changes but remains the dominant component of overall productivity in these important blue carbon wetlands. Appropriate BNPP assessment techniques to use in various tidal wetlands are not well-defined, and could make a difference in BNPP estimation. We hypothesized that different BNPP techniques applied among tidal wetlands differ in estimation of BNPP and possibly also correlate differently with porewater nutrient concentrations. We compare 6-month and 12-month root ingrowth, serial soil coring techniques utilizing two different calculations, and a mass balance approach (TBCA, Total Belowground Carbon Allocation) among four tidal wetland types along each of two river systems transitioning from freshwater forest to marsh. Median values of BNPP were 266 to 2946 g/m2/year among all techniques used, with lower BNPP estimation from root ingrowth cores and TBCA (266–416 g/m2/year), and higher BNPP estimation from serial coring of standing crop root biomass (using Smalley and Max-Min calculation methods) (2336–2946 g/m2/year). Root turnover (or longevity) to a soil depth of 30 cm was 2.2/year (1.3 years), 2.7/year (1.1 years), 4.5/year (0.9 years), and 1.2/year (2.6 years), respectively, for Upper Forest, Middle Forest, Lower Forest, and Marsh. Marsh had greater root biomass and BNPP, with slower root turnover (greater root longevity) versus forested wetlands. Soil porewater concentrations of NH3 and reactive phosphorus stimulated BNPP in the marsh when assessed with short-deployment BNPP techniques, indicating that pulses of mineralized nutrients may stimulate BNPP to facilitate marsh replacement of forested wetlands. Overall, ingrowth techniques appeared to represent forested wetland BNPP adequately, while serial coring may be necessary to represent herbaceous plant BNPP from rhizomes as marshes replace forested wetlands.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0253554","usgsCitation":"From, A., Krauss, K., Noe, G.E., Cormier, N., Stagg, C., Moss, R., and Whitbeck, J.L., 2021, Belowground productivity varies by assessment technique, vegetation type, and nutrient availability in tidal freshwater forested wetlands transitioning to marsh: PLoS ONE, v. 16, no. 7, e0253554, 24 p.; Data Release, https://doi.org/10.1371/journal.pone.0253554.","productDescription":"e0253554, 24 p.; Data Release","ipdsId":"IP-125248","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":451492,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0253554","text":"Publisher Index Page"},{"id":395155,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417856,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GZ421B"}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Sampit River, Savannah River, Waccamaw River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.97816467285156,\n 32.05639055725355\n ],\n [\n -80.96717834472656,\n 32.09130089401913\n ],\n [\n -81.00837707519531,\n 32.118638011730695\n ],\n [\n -81.04888916015625,\n 32.108751062791974\n ],\n [\n -81.1175537109375,\n 32.171544054655016\n ],\n [\n -81.13815307617188,\n 32.227904590766364\n ],\n [\n -81.18827819824219,\n 32.20815332547324\n ],\n [\n -81.15943908691406,\n 32.130268345320815\n ],\n [\n -81.12442016601561,\n 32.076174718029634\n ],\n [\n -81.02142333984375,\n 32.06861069132688\n ],\n [\n -80.97816467285156,\n 32.05639055725355\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.01573181152344,\n 33.614047465781894\n ],\n [\n -79.18876647949219,\n 33.62719851659249\n ],\n [\n -79.33021545410156,\n 33.351179088043494\n ],\n [\n -79.34600830078125,\n 33.26797224977847\n ],\n [\n -79.21760559082031,\n 33.247301699949205\n ],\n [\n -79.13795471191406,\n 33.44060944370356\n ],\n [\n -79.01573181152344,\n 33.614047465781894\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"From, Andrew 0000-0002-6543-2627","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":221929,"corporation":false,"usgs":true,"family":"From","given":"Andrew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":832187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":207009,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":832188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":832189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cormier, N. 0000-0003-2453-9900","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":221147,"corporation":false,"usgs":false,"family":"Cormier","given":"N.","affiliations":[{"id":16788,"text":"Macquarie University","active":true,"usgs":false}],"preferred":false,"id":832190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stagg, Camille 0000-0002-1125-7253","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":221938,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":832191,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moss, Rebecca 0000-0002-7599-9758 mossr@usgs.gov","orcid":"https://orcid.org/0000-0002-7599-9758","contributorId":169722,"corporation":false,"usgs":true,"family":"Moss","given":"Rebecca","email":"mossr@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":832192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whitbeck, Julie L. 0000-0003-0848-2529","orcid":"https://orcid.org/0000-0003-0848-2529","contributorId":272590,"corporation":false,"usgs":false,"family":"Whitbeck","given":"Julie","email":"","middleInitial":"L.","affiliations":[{"id":56386,"text":"National Park Service, New Orleans, LA, USA","active":true,"usgs":false}],"preferred":false,"id":832193,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70223280,"text":"70223280 - 2021 - Global-scale changes to extreme ocean wave events due to anthropogenic warming","interactions":[],"lastModifiedDate":"2021-08-19T15:19:20.697385","indexId":"70223280","displayToPublicDate":"2021-07-16T10:14:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Global-scale changes to extreme ocean wave events due to anthropogenic warming","docAbstract":"Extreme surface ocean waves are often primary drivers of coastal flooding and erosion over various time scales. Hence, understanding future changes in extreme wave events owing to global warming is of socio-economic and environmental significance. However, our current knowledge of potential changes in high-frequency (defined here as having return periods of less than 1 year) extreme wave events are largely unknown, despite being strongly linked to coastal hazards across time scales relevant to coastal management. Here, we present global climate-modeling evidence, based on the most comprehensive multi-method, multi-model wave ensemble, of projected changes in a core set of extreme wave indices describing high-frequency, extra-tropical storm-driven waves. We find changes in high-frequency extreme wave events of up to ∼50%–100% under RCP8.5 high-emission scenario; which is nearly double the expected changes for RCP4.5 scenario, when globally integrated. The projected changes exhibit strong inter-hemispheric asymmetry, with strong increases in extreme wave activity across the tropics and high latitudes of the Southern Hemisphere region, and a widespread decrease across most of the Northern Hemisphere. We find that the patterns of projected increase across these extreme wave events over the Southern Hemisphere region resemble their historical response to the positive anomaly of the Southern Annular Mode. Our findings highlight that many countries with low-adaptive capacity are likely to face increasing exposure to much more frequent extreme wave events in the future.
","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac1013","usgsCitation":"Morim, J., Vitousek, S., Hemer, M., Reguero, B., Erikson, L.H., Casas-Prat, M., Wang, X.L., Semedo, A., Mori, N., Shimura, T., Mentaschi, L., and Timmerman, B., 2021, Global-scale changes to extreme ocean wave events due to anthropogenic warming: Environmental Research Letters, v. 16, no. 7, 074056, 10 p., https://doi.org/10.1088/1748-9326/ac1013.","productDescription":"074056, 10 p.","ipdsId":"IP-116482","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451497,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac1013","text":"Publisher Index Page"},{"id":388151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Morim, Joao","contributorId":264483,"corporation":false,"usgs":false,"family":"Morim","given":"Joao","email":"","affiliations":[{"id":7117,"text":"Griffith University","active":true,"usgs":false}],"preferred":false,"id":821581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":821582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hemer, Mark","contributorId":264484,"corporation":false,"usgs":false,"family":"Hemer","given":"Mark","email":"","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":821583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reguero, Borja","contributorId":264485,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":821584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":821585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casas-Prat, Merce","contributorId":264487,"corporation":false,"usgs":false,"family":"Casas-Prat","given":"Merce","email":"","affiliations":[{"id":54478,"text":"Environment and Climate Change Canada,","active":true,"usgs":false}],"preferred":false,"id":821586,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Xiaolan L.","contributorId":264488,"corporation":false,"usgs":false,"family":"Wang","given":"Xiaolan","email":"","middleInitial":"L.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":821587,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Semedo, Alvaro","contributorId":264491,"corporation":false,"usgs":false,"family":"Semedo","given":"Alvaro","affiliations":[{"id":54479,"text":"IHE-Delft","active":true,"usgs":false}],"preferred":false,"id":821588,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mori, Nobuhito","contributorId":264492,"corporation":false,"usgs":false,"family":"Mori","given":"Nobuhito","affiliations":[{"id":36662,"text":"Kyoto University","active":true,"usgs":false}],"preferred":false,"id":821589,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shimura, Tomoya","contributorId":264493,"corporation":false,"usgs":false,"family":"Shimura","given":"Tomoya","email":"","affiliations":[{"id":36662,"text":"Kyoto University","active":true,"usgs":false}],"preferred":false,"id":821590,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mentaschi, Lorenzo","contributorId":264494,"corporation":false,"usgs":false,"family":"Mentaschi","given":"Lorenzo","email":"","affiliations":[{"id":54481,"text":"European Commission","active":true,"usgs":false}],"preferred":false,"id":821591,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Timmerman, Ben","contributorId":264495,"corporation":false,"usgs":false,"family":"Timmerman","given":"Ben","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":821592,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70223463,"text":"70223463 - 2021 - A global dataset of inland fisheries expert knowledge","interactions":[],"lastModifiedDate":"2021-08-27T15:01:03.898055","indexId":"70223463","displayToPublicDate":"2021-07-16T09:58:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"A global dataset of inland fisheries expert knowledge","docAbstract":"Inland fisheries and their freshwater habitats face intensifying effects from multiple natural and anthropogenic pressures. Fish harvest and biodiversity data remain largely disparate and severely deficient in many areas, which makes assessing and managing inland fisheries difficult. Expert knowledge is increasingly used to improve and inform biological or vulnerability assessments, especially in data-poor areas. Integrating expert knowledge on the distribution, intensity, and relative influence of human activities can guide natural resource management strategies and institutional resource allocation and prioritization. This paper introduces a dataset summarizing the expert-perceived state of inland fisheries at the basin (fishery) level. An electronic survey distributed to professional networks (June-September 2020) captured expert perceptions (n = 536) of threats, successes, and adaptive capacity to fisheries across 93 hydrological basins, 79 countries, and all major freshwater habitat types. This dataset can be used to address research questions with conservation relevance, including: demographic influences on perceptions of threat, adaptive capacities for climate change, external factors driving multi-stressor interactions, and geospatial threat assessments.
","language":"English","publisher":"Nature","doi":"10.1038/s41597-021-00949-0","usgsCitation":"Stokes, G.L., Lynch, A., Funge-Smith, S., Valbo-Jorgensen, J., Beard, Lowe, B.S., Wong, J.P., and Smidt, S.J., 2021, A global dataset of inland fisheries expert knowledge: Scientific Data, v. 8, 182, 10 p., https://doi.org/10.1038/s41597-021-00949-0.","productDescription":"182, 10 p.","ipdsId":"IP-123864","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":451498,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-021-00949-0","text":"Publisher Index Page"},{"id":388584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2021-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Stokes, Gretchen L. 0000-0003-4202-6527","orcid":"https://orcid.org/0000-0003-4202-6527","contributorId":245640,"corporation":false,"usgs":false,"family":"Stokes","given":"Gretchen","email":"","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":822094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":822095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funge-Smith, Simon 0000-0001-9974-5333","orcid":"https://orcid.org/0000-0001-9974-5333","contributorId":245642,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":822096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valbo-Jorgensen, John 0000-0002-1992-5682","orcid":"https://orcid.org/0000-0002-1992-5682","contributorId":245643,"corporation":false,"usgs":false,"family":"Valbo-Jorgensen","given":"John","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":822097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beard, Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":169459,"corporation":false,"usgs":true,"family":"Beard","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":822098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowe, Benjamin S. 0000-0002-1879-254X","orcid":"https://orcid.org/0000-0002-1879-254X","contributorId":245641,"corporation":false,"usgs":false,"family":"Lowe","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":822099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wong, Jesse P.","contributorId":264850,"corporation":false,"usgs":false,"family":"Wong","given":"Jesse","email":"","middleInitial":"P.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":822100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smidt, Samuel J. 0000-0001-7728-2083","orcid":"https://orcid.org/0000-0001-7728-2083","contributorId":192816,"corporation":false,"usgs":false,"family":"Smidt","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":822101,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70222933,"text":"70222933 - 2021 - Regeneration trends along climate gradients in Taxodium distichum forests of the southeastern United States","interactions":[],"lastModifiedDate":"2023-06-09T14:09:27.431715","indexId":"70222933","displayToPublicDate":"2021-07-16T09:23:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Regeneration trends along climate gradients in Taxodium distichum forests of the southeastern United States","title":"Regeneration trends along climate gradients in Taxodium distichum forests of the southeastern United States","docAbstract":"The development of relict vegetation at the edges of some ecosystems has taken place particularly in environments where the regeneration of foundational species is declining. As an important stage of regeneration in the Taxodium distichum, this study explored the relationship of cone volume and seed number across environmental gradients in the Mississippi River Alluvial Valley (MRAV) and northern Gulf of Mexico Coast (GOM) in a long-term network of forested wetlands (North American Baldcypress Swamp Network (NABCSN)) from 2007 to 2019. Resembling spheroids, the volumes of Taxodium distichum cones were based on the measured dimensions of the cones collected in swamps across southeastern environmental gradients. Cones with larger volumes also had larger numbers of seeds (r2 = 0.423, F = 113.9, p < 0.0001; Linear regression equation: Seed number per cone = 9.8925223 + 0.8854056* Cone volume cm3). Mean cone volumes were related to water availability with highest volumes in locations with moderate amounts of total annual precipitation (e.g., White River National Wildlife Refuge (NWR) Arkansas, Tensas NWR Louisiana, and Morgan Brake NWR Mississippi), and longer periods of annual percent time of site drawdown. Cone volume was high in 2018 following the 2017 mega-flood in the Mississippi River Alluvial Valley (MRAV) generated by Hurricane Harvey. Mean annual air temperature was not related to cone volume. Along the Gulf Coast, mean cone volume increased from east to west from Florida to Texas. Especially near the edge of the range of T. distichum forests, smaller cones may be related to regeneration failure and lower seed numbers to support regeneration. A better understanding of regeneration constraints can inform managers of the emergence of relict status in these forests.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2021.119485","usgsCitation":"Middleton, B., Lei, T., Villegas, O., and Liu, X., 2021, Regeneration trends along climate gradients in Taxodium distichum forests of the southeastern United States: Forest Ecology and Management, v. 497, 119485, 10 p.; Data Release, https://doi.org/10.1016/j.foreco.2021.119485.","productDescription":"119485, 10 p.; Data Release","ipdsId":"IP-125636","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":387812,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417855,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H7WGM5"}],"country":"United States","state":"Arkansas, Florida, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.76953125,\n 37.43997405227057\n ],\n [\n -89.9560546875,\n 37.26530995561875\n ],\n [\n -91.4501953125,\n 33.8339199536547\n ],\n [\n -91.62597656249999,\n 31.765537409484374\n ],\n [\n -91.8896484375,\n 30.44867367928756\n ],\n [\n -90.087890625,\n 29.19053283229458\n ],\n [\n -89.384765625,\n 30.06909396443887\n ],\n [\n -90.4833984375,\n 30.44867367928756\n ],\n [\n -89.3408203125,\n 32.84267363195431\n ],\n [\n -88.76953125,\n 37.43997405227057\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.814453125,\n 29.6880527498568\n ],\n [\n -83.6279296875,\n 29.878755346037977\n ],\n [\n -83.671875,\n 30.675715404167743\n ],\n [\n -85.1220703125,\n 30.600093873550072\n ],\n [\n -84.814453125,\n 29.6880527498568\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"497","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206922,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lei, Ting","contributorId":245022,"corporation":false,"usgs":false,"family":"Lei","given":"Ting","affiliations":[{"id":40912,"text":"Beijing Forestry","active":true,"usgs":false}],"preferred":false,"id":820868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villegas, Omag 0000-0003-0169-895X","orcid":"https://orcid.org/0000-0003-0169-895X","contributorId":263439,"corporation":false,"usgs":false,"family":"Villegas","given":"Omag","email":"","affiliations":[{"id":53989,"text":"Universidad Juarez del Estado de Durango, Mexico","active":true,"usgs":false}],"preferred":false,"id":820869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Xiaohui","contributorId":263440,"corporation":false,"usgs":false,"family":"Liu","given":"Xiaohui","email":"","affiliations":[{"id":53990,"text":"NE Institute of Geography and Agroecology, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":820870,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221758,"text":"ofr20211050 - 2021 - Climate change vulnerability assessment for the California coastal national monument—Trinidad and Point Arena-Stornetta units","interactions":[],"lastModifiedDate":"2021-07-19T11:42:53.88398","indexId":"ofr20211050","displayToPublicDate":"2021-07-16T09:09:19","publicationYear":"2021","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":"2021-1050","displayTitle":"Climate Change Vulnerability Assessment for the California Coastal National Monument: Trinidad and Point Arena-Stornetta Units","title":"Climate change vulnerability assessment for the California coastal national monument—Trinidad and Point Arena-Stornetta units","docAbstract":"Director,
Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Understanding the cooling process of volcanic intrusions into wet sediments is a difficult but important problem, given the presence of extremely large temperature gradients and potentially complex water-magma interactions. This report presents a numerical model to study such interactions, including the effect of heat pipes on the cooling of volcanic intrusions. Udell (1985) has shown that heat pipes may develop in heated saturated granular media under laboratory conditions. In previous work, Baker and others (2015) calculated temperatures in the vicinity of a volcanic sill that intruded into wet sediment, showing an unexpected temperature profile in which peak temperatures remained near constant over a region extending a meter above and below the sill. This is challenging to explain with conduction or convection heating methods but is predicted if the heat transfer is performed primarily by a heat pipe. We have numerically modeled the cooling of a lava sill under similar circumstances, using the experimental findings of Udell (1985) to estimate the characteristics of the heat pipe. We have constructed a model using Microsoft C#.NET, complete with an intuitive graphical user interface. The model is available from the U.S. Geological Survey and is capable of being run on Microsoft Windows 7 and higher with modest hardware. We find that the resulting overall temperature profile has some key similarities to the profile inferred by Baker and others (2015). Future models including more detailed convective heat transfer physics will be necessary to fully reproduce the effects of boiling in sediments.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm13B2","usgsCitation":"Williams, K.E., Dundas, C.M., and Kestay, L.P., 2021, A numerical model for the cooling of a lava sill with heat pipe effects: U.S. Geological Survey Techniques and Methods, book 13, chap. B2, 14 p., https://doi.org/10.3133/tm13B2.","productDescription":"v, 14 p.","numberOfPages":"14","onlineOnly":"Y","ipdsId":"IP-120432","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":387233,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/tm/13/b2/tm13B2_LavaCooling-Heatpipe_executable.zip","text":"Program — LavaCooling-Heatpipe.exe","size":"30 KB","linkFileType":{"id":6,"text":"zip"}},{"id":387194,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/13/b2/tm13B2.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":387193,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/13/b2/covrthb.jpg"}],"contact":"Contact Astrogeology Research Program staff
Astrogeology Science Center
U.S. Geological Survey
2255 N. Gemini Dr.
Flagstaff, AZ 86001
High resolution seafloor mapping shows extraordinary evidence that massive (>300 m thick) icebergs once drifted >5,000 km south along the eastern United States, with >700 iceberg scours now identified south of Cape Hatteras. Here we report on sediment cores collected from several buried scours that show multiple plow marks align with Heinrich Event 3 (H3), ~31,000 years ago. Numerical glacial iceberg simulations indicate that the transport of icebergs to these sites occurs during massive, but short-lived, periods of elevated meltwater discharge. Transport of icebergs to the subtropics, away from deep water formation sites, may explain why H3 was associated with only a modest increase in ice-rafting across the subpolar North Atlantic, and implies a complex relationship between freshwater forcing and climate change. Stratigraphy from subbottom data across the scour marks shows there are additional features that are both older and younger, and may align with other periods of elevated meltwater discharge.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-021-23924-0","usgsCitation":"Condron, A., and Hill, J.C., 2021, Timing of iceberg scours and massive ice-rafting events in the subtropical North Atlantic: Nature Communications, v. 12, 3668, 14 p., https://doi.org/10.1038/s41467-021-23924-0.","productDescription":"3668, 14 p.","ipdsId":"IP-120103","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-021-23924-0","text":"Publisher Index Page"},{"id":387321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, South Carolina","otherGeospatial":"Atlantic Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.37695312499999,\n 34.88593094075317\n ],\n [\n -77.82714843749999,\n 34.161818161230386\n ],\n [\n -79.365234375,\n 33.137551192346145\n ],\n [\n -81.0791015625,\n 31.653381399664\n ],\n [\n -81.474609375,\n 30.259067203213018\n ],\n [\n -79.6728515625,\n 26.86328062676624\n ],\n [\n -75.76171875,\n 27.916766641249065\n ],\n [\n -73.0810546875,\n 28.92163128242129\n ],\n [\n -71.71875,\n 34.161818161230386\n ],\n [\n -76.37695312499999,\n 34.88593094075317\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Condron, Alan 0000-0002-7337-1713","orcid":"https://orcid.org/0000-0002-7337-1713","contributorId":229547,"corporation":false,"usgs":false,"family":"Condron","given":"Alan","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":819626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Jenna C. 0000-0002-7475-357X","orcid":"https://orcid.org/0000-0002-7475-357X","contributorId":21987,"corporation":false,"usgs":true,"family":"Hill","given":"Jenna","email":"","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":819627,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70222088,"text":"70222088 - 2021 - Mapping of suspended sediment transport using acoustic methods in a Pantanal tributary","interactions":[],"lastModifiedDate":"2021-07-19T23:32:45.066778","indexId":"70222088","displayToPublicDate":"2021-07-15T18:24:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Mapping of suspended sediment transport using acoustic methods in a Pantanal tributary","docAbstract":"Generally, fluvial systems are used for different objectives including energy production, water supply, recreation, and navigation. Thus, many impacts must be considered with their use. An understanding of sediment dynamics in fluvial systems is often of value for a variety of objectives, given that erosion and depositional processes can change the fluvial system morphology and can substantially alter the fluvial environment. In this sense, sediment monitoring is important because it helps to explain and quantify sediment dynamics in the environment. Hence, this study presents an innovative sediment monitoring technique: the use of the acoustic Doppler current profiler, commonly used to obtain discharge measurements, to obtain suspended sediment concentration (SSC). This paper aims to describe the application of additional corrections to the ADP-M9 signal to obtain SSC from measurement campaigns that used the ADP only for discharge measurements. The analyses were based on traditional sediment sampling methods and discharge measurements, with the ADP-M9, from 7 field campaigns at the Taquari River, a major tributary from the Alto Paraguay Basin, in the Pantanal Biome, known as the largest freshwater wetland system in the world. The correlation was assessed considering the following: (a) the equipment frequency operation mode (Smart Pulse or Fixed Frequency) and (b) by checking the influence of the sediment attenuation coefficient. Furthermore, extrapolation was conducted in filtered and unmeasured areas of the ADP to map the suspended sediment concentration over the entire cross section. Results indicate that ADP correlations can be an effective tool for estimating SSC in the Taquari River when samples cannot be collected. Correlations could be applied to past and future ADP measurements made at the location where the correlation was created, as long as similar environmental conditions are present as when the correlation was developed. The described technique can expand the amount of sediment data available at a monitoring site even with reduced traditional sampling and by leveraging instruments used for other monitoring purposes.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-021-09266-w","usgsCitation":"Wosiacki, L.F., Koji Suekame, H., Wood, M.S., Verissimo Goncalves, F., and Bleninger, T., 2021, Mapping of suspended sediment transport using acoustic methods in a Pantanal tributary: Environmental Monitoring and Assessment, v. 193, 493, 19 p., https://doi.org/10.1007/s10661-021-09266-w.","productDescription":"493, 19 p.","ipdsId":"IP-120116","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":387258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Taquari River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -57.041015625,\n -22.105998799750566\n ],\n [\n -54.31640625,\n -19.84939395842278\n ],\n [\n -52.9541015625,\n -18.437924653474393\n ],\n [\n -53.78906249999999,\n -17.853290114098\n ],\n [\n -53.7451171875,\n -17.26672782352052\n ],\n [\n -54.4921875,\n -17.434510551522894\n ],\n [\n -56.82128906249999,\n -16.63619187839765\n ],\n [\n -57.041015625,\n -14.944784875088372\n ],\n [\n -59.501953125,\n -14.349547837185362\n ],\n [\n -60.16113281250001,\n -14.902321826141796\n ],\n [\n -60.1171875,\n -16.1724728083975\n ],\n [\n -58.447265625,\n -16.13026201203474\n ],\n [\n -58.18359375,\n -16.762467717941593\n ],\n [\n -57.78808593749999,\n -17.560246503294888\n ],\n [\n -57.7001953125,\n -18.729501999072138\n ],\n [\n -58.3154296875,\n -20.055931265194438\n ],\n [\n -57.919921875,\n -21.943045533438166\n ],\n [\n -57.041015625,\n -22.105998799750566\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"193","noUsgsAuthors":false,"publicationDate":"2021-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Wosiacki, Liege F.K.","contributorId":261197,"corporation":false,"usgs":false,"family":"Wosiacki","given":"Liege","email":"","middleInitial":"F.K.","affiliations":[{"id":52772,"text":"Federal University of Parana, Curitiba, Brazil","active":true,"usgs":false}],"preferred":false,"id":819460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koji Suekame, Hugo","contributorId":261198,"corporation":false,"usgs":false,"family":"Koji Suekame","given":"Hugo","email":"","affiliations":[{"id":52773,"text":"Federal University of Mato Grosso do Sul, Campo Grande, Brazil","active":true,"usgs":false}],"preferred":false,"id":819461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":819462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verissimo Goncalves, Fabio","contributorId":261199,"corporation":false,"usgs":false,"family":"Verissimo Goncalves","given":"Fabio","email":"","affiliations":[{"id":52773,"text":"Federal University of Mato Grosso do Sul, Campo Grande, Brazil","active":true,"usgs":false}],"preferred":false,"id":819463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bleninger, Tobias","contributorId":261200,"corporation":false,"usgs":false,"family":"Bleninger","given":"Tobias","email":"","affiliations":[{"id":52772,"text":"Federal University of Parana, Curitiba, Brazil","active":true,"usgs":false}],"preferred":false,"id":819464,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70222091,"text":"70222091 - 2021 - Influence of filter pore size on composition and relative abundance of bacterial communities and select host-specific MST markers in coastal waters of southern Lake Michigan","interactions":[],"lastModifiedDate":"2021-07-19T23:11:51.462326","indexId":"70222091","displayToPublicDate":"2021-07-15T18:02:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Influence of filter pore size on composition and relative abundance of bacterial communities and select host-specific MST markers in coastal waters of southern Lake Michigan","docAbstract":"Water clarity is often the primary guiding factor in determining whether a prefiltration step is needed to increase volumes processed for a range of microbial endpoints. In this study, we evaluate the effect of filter pore size on the bacterial communities detected by 16S rRNA gene sequencing and incidence of two host-specific microbial source tracking (MST) markers in a range of coastal waters from southern Lake Michigan, using two independent data sets collected in 2015 (bacterial communities) and 2016–2017 (MST markers). Water samples were collected from river, shoreline, and offshore areas. For bacterial communities, each sample was filtered through a 5.0-μm filter, followed by filtration through a 0.22-μm filter, resulting in 70 and 143 filter pairs for bacterial communities and MST markers, respectively. Following DNA extraction, the bacterial communities were compared using 16S rRNA gene amplicons of the V3–V4 region sequenced on a MiSeq Illumina platform. Presence of human (Bacteroides HF183) and gull (Gull2, Catellicoccus marimammalium) host-specific MST markers were detected by qPCR. Actinobacteriota, Bacteroidota, and Proteobacteria, collectively represented 96.9% and 93.9% of the relative proportion of all phyla in the 0.22- and 5.0-μm pore size filters, respectively. There were more families detected in the 5.0-μm pore size filter (368) than the 0.22-μm (228). There were significant differences in the number of taxa between the two filter sizes at all levels of taxonomic classification according to linear discriminant analysis (LDA) effect size (LEfSe) with as many as 986 taxa from both filter sizes at LDA effect sizes greater than 2.0. Overall, the Gull2 marker was found in higher abundance on the 5.0-μm filter than 0.22 μm with the reverse pattern for the HF183 marker. This discrepancy could lead to problems with identifying microbial sources of contamination. Collectively, these results highlight the importance of analyzing pre- and final filters for a wide range of microbial endpoints, including host-specific MST markers routinely used in water quality monitoring programs. Analysis of both filters may increase costs but provides more complete genomic data via increased sample volume for characterizing microbial communities in coastal waters.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmicb.2021.665664","usgsCitation":"Byappanahalli, M., Nevers, M., Shively, D., Nakatsu, C.H., Kinzelman, J.L., and Phanikumar, M.S., 2021, Influence of filter pore size on composition and relative abundance of bacterial communities and select host-specific MST markers in coastal waters of southern Lake Michigan: Frontiers in Microbiology, v. 12, 665664, 11 p., https://doi.org/10.3389/fmicb.2021.665664.","productDescription":"665664, 11 p.","ipdsId":"IP-126915","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":451506,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2021.665664","text":"Publisher Index Page"},{"id":387255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Wisconsin","city":"Chicago, East Chicago, 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Center","active":true,"usgs":true}],"preferred":true,"id":819479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nakatsu, Cindy H 0000-0003-0663-180X","orcid":"https://orcid.org/0000-0003-0663-180X","contributorId":215593,"corporation":false,"usgs":false,"family":"Nakatsu","given":"Cindy","email":"","middleInitial":"H","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":819480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinzelman, Julie L.","contributorId":236944,"corporation":false,"usgs":false,"family":"Kinzelman","given":"Julie","email":"","middleInitial":"L.","affiliations":[{"id":37612,"text":"City of Racine Health Department","active":true,"usgs":false}],"preferred":false,"id":819481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phanikumar, Mantha S.","contributorId":147924,"corporation":false,"usgs":false,"family":"Phanikumar","given":"Mantha","email":"","middleInitial":"S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":819482,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70225598,"text":"70225598 - 2021 - The ten steps to responsible Inland fisheries in practice: Reflections from diverse regional case studies around the globe","interactions":[],"lastModifiedDate":"2021-10-27T13:36:01.198174","indexId":"70225598","displayToPublicDate":"2021-07-15T07:28:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"The ten steps to responsible Inland fisheries in practice: Reflections from diverse regional case studies around the globe","docAbstract":"Inland fisheries make substantial contributions to food security and livelihoods locally, regionally, and globally but their conservation and management have been largely overlooked by policy makers. In an effort to remedy this limited recognition, a cross-sectoral community of scientists, practitioners, and policy makers from around the world convened a high-level meeting in 2015 at the Food and Agriculture Organization of the United Nations headquarters in Rome, Italy to develop recommendations for sustainable inland fisheries management. This meeting resulted in the production of the Rome Declaration, outlining ten key steps needed to achieve responsible inland fisheries. When the Ten Steps were conceived, they were framed in a global context because inland fisheries around the world face similar challenges, and it was hoped that these large-scale and ambitious steps would draw the attention of regional or international bodies for greater investment in their proper management. Most inland fisheries, however, are managed at a local (often community, watershed, or waterbody) scale with the “on-the-ground” practitioners, managers, assessment biologists, and stewardship officers responsible for achieving the promise of the Ten Steps. Here, we reflect on the relevance of the Ten Steps to practitioners using six regional case studies from around the globe (North America, South America, Europe, Asia, Australia, and Africa) to identify the extent to which existing efforts align with the Ten Steps and where there are opportunities to do more. Learning what is effective from local/regional actions should better inform a more global “action plan” and provide tangible guidance for implementation recognizing that global guidance needs to be informed by and acted upon by local practitioners. We conclude by considering the common challenges, synergies, and other emergent properties that arise from these case studies, and use these as a path forward to advancing responsible management of inland fisheries through the Rome Declaration. Of particular importance is the need to balance the high-level aspirational goals of the Ten Steps with the local cultural, socio-economic, and institutional realities that ultimately influence how humans interact with fisheries resources and aquatic ecosystems. This assessment provides valuable information on how to refine and implement the Ten Steps recognizing that success will require coordinated efforts among on-the-ground practitioners, scientists, stakeholders, rightsholders and international decision makers.