The movement of salt marshes into uplands and marsh submergence as sea level rises is well documented; however, predicting how coastal marshes will respond to rising sea levels is constrained by a lack of process-based understanding of how various marsh zones adjust to changes in sea level. To assess the way in which salt marsh zones differ in their elevation response to sea-level change, and to evaluate how potential hydrologic drivers influence the response, surface elevation tables, marker horizons, and shallow rod surface elevation tables were installed in a Virginia salt marsh in three zones that differed in elevation and vegetation type. Decadal rates of elevation change, surface accretion, and shallow subsidence or expansion were examined in the context of hydrologic drivers that included local sea-level rise, flooding frequency, hurricane storm surge, and precipitation. Surface elevation increases were fastest in the low-elevation zone, intermediate in the middle-elevation zone, and slowest in the high-elevation zone. These rates are similar to (low and middle marsh) or less than (high marsh) local rates of sea-level rise. Root zone expansion, presumably due to root growth and organic matter accumulation, varied among the three salt marsh zones and accounted for 37%, but probably more, of the increase in marsh surface elevation. We infer that, during marsh transgression, soil-forming processes shift from biogenic (high marsh) to minerogenic (low marsh) in response, either directly or indirectly, to changing hydrologic drivers.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-020-00796-z","usgsCitation":"Blum, L.K., Christian, R., Cahoon, D., and Wiberg, P.L., 2021, Processes influencing marsh elevation change in low- and high-elevation zones of a temperate salt marsh: Estuaries and Coasts, v. 44, p. 818-833, https://doi.org/10.1007/s12237-020-00796-z.","productDescription":"16 p.","startPage":"818","endPage":"833","onlineOnly":"Y","ipdsId":"IP-111984","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":377331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Northampton County","otherGeospatial":"Phillips Creek Marsh","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.7342529296875,\n 37.91170058826019\n ],\n [\n -75.97320556640625,\n 37.56417412088097\n ],\n [\n -76.07757568359375,\n 37.25000751785145\n ],\n [\n -75.97869873046874,\n 37.083666782415534\n ],\n [\n -75.7781982421875,\n 37.21064411993447\n ],\n [\n -75.59967041015625,\n 37.55328764595765\n ],\n [\n -75.5145263671875,\n 37.80544394934271\n ],\n [\n -75.7342529296875,\n 37.91170058826019\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2020-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Blum, Linda K. 0000-0002-5252-6106","orcid":"https://orcid.org/0000-0002-5252-6106","contributorId":208046,"corporation":false,"usgs":false,"family":"Blum","given":"Linda","email":"","middleInitial":"K.","affiliations":[{"id":37559,"text":"University of Virginia, Charlottesville, VA","active":true,"usgs":false}],"preferred":false,"id":795480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christian, Robert R.","contributorId":237855,"corporation":false,"usgs":false,"family":"Christian","given":"Robert R.","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":795481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":219657,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":795482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiberg, Patricia L.","contributorId":237856,"corporation":false,"usgs":false,"family":"Wiberg","given":"Patricia","email":"","middleInitial":"L.","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":795483,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219517,"text":"70219517 - 2021 - Disentangling the effects of multiple fires on spatially interspersed sagebrush (Artemisia spp.) communities","interactions":[],"lastModifiedDate":"2021-04-12T14:09:43.719956","indexId":"70219517","displayToPublicDate":"2020-08-11T09:01:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Disentangling the effects of multiple fires on spatially interspersed sagebrush (Artemisia spp.) communities","title":"Disentangling the effects of multiple fires on spatially interspersed sagebrush (Artemisia spp.) communities","docAbstract":"Relative to a landscape with a mosaic of two sagebrush community types and increasing fire frequency, we asked: (a) do vegetation characteristics vary significantly with number of times burned for each sagebrush community; (b) how do vegetation responses to different fire frequencies compare between the two sagebrush communities?
Columbia Plateau Ecoregion, Washington, USA.
We sampled vegetation across a landscape that burned three times over a 10‐year period in two sagebrush community types that are interspersed on unique land forms: big sagebrush (Artemisia tridentata) communities that occur on small “mounds” and scabland sagebrush (A. rigida) communities that occur on surrounding “flats.” Spatially overlapping fires permitted a balanced sampling design to assess unburned and once‐, twice‐, and thrice‐burned locations for each land form/community type. We utilized a suite of statistical analyses to determine differences among plant functional groups and biomass among unburned/burned strata by land form and compared results between land forms.
Big sagebrush and scabland sagebrush communities responded uniquely to multiple fires, due to different fuel loadings, fire severities, succession and invasion dynamics. Big sagebrush experienced nearly complete shrub loss and conversion from exotic‐invaded shrubland to exotic annual grassland after only one fire. In contrast, scabland sagebrush retained a minor shrub component and higher relative cover of native herbaceous species, even after three fires. Both communities retained cover of native perennial grasses, including shallow‐ and deep‐rooted species, likely reflecting decreasing fire intensity with number of times burned.
Despite different community‐level responses, increasing fire frequency is transforming the entire landscape to a non‐native/native grassland mix. Quantifying unique ecosystem responses to altered wildfire regimes is critical to understanding the relative resilience of communities to disturbance and their resistance to exotic species invasion (and community type conversion). Management actions may help to maintain spatial heterogeneity of ecosystems and fire‐tolerant native species.
","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12937","usgsCitation":"Shinneman, D.J., McIlroy, S., and de Graaff, M., 2021, Disentangling the effects of multiple fires on spatially interspersed sagebrush (Artemisia spp.) communities: Journal of Vegetation Science, v. 32, no. 1, e12937, 14 p., https://doi.org/10.1111/jvs.12937.","productDescription":"e12937, 14 p.","ipdsId":"IP-118106","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":436676,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F2W9RF","text":"USGS data release","linkHelpText":"Vegetation data from burned and unburned sagebrush communities in eastern Washington (2016)"},{"id":385012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.54248046874999,\n 47.68018294648414\n ],\n [\n -118.10302734374999,\n 47.68018294648414\n ],\n [\n -118.10302734374999,\n 47.90161354142077\n ],\n [\n -118.54248046874999,\n 47.90161354142077\n ],\n [\n -118.54248046874999,\n 47.68018294648414\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":813902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 smcilroy@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-3700","contributorId":169446,"corporation":false,"usgs":true,"family":"McIlroy","given":"Susan","email":"smcilroy@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Graaff, Marie-Anne","contributorId":195121,"corporation":false,"usgs":false,"family":"de Graaff","given":"Marie-Anne","email":"","affiliations":[],"preferred":false,"id":813904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217771,"text":"70217771 - 2021 - Larval Coregonus spp. diets and zooplankton community patterns in the Apostle Islands, Lake Superior","interactions":[],"lastModifiedDate":"2021-02-03T13:49:45.054665","indexId":"70217771","displayToPublicDate":"2020-08-11T07:03:27","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}},"displayTitle":"Larval Coregonus spp. diets and zooplankton community patterns in the Apostle Islands, Lake Superior","title":"Larval Coregonus spp. diets and zooplankton community patterns in the Apostle Islands, Lake Superior","docAbstract":"With the exception of lake whitefish (Coregonus clupeaformis), relatively little is known about the early life history of larval coregonines in the Laurentian Great Lakes. For example, our knowledge of the feeding ecology of larval coregonines (excluding lake whitefish) is based on only 900 stomachs reported in the literature. Here, we describe the diets and demographics of larval coregonines from ice-out to late July, and the contemporaneous zooplankton community, in the Apostle Islands region of Lake Superior in 2018. Exogenous feeding was evident among the smallest larvae (down to 6 mm). Percent of larvae with food in their stomachs increased and yolk reserves decreased as larvae grew from 10 to 13 mm. A majority of the diet (58%) was copepod nauplii, with generally positive selection for adult copepods and Holopedium. The patterns in exogenous feeding and yolk sac absorption were similar to observations in Lake Superior in the 1970s. Diets were also generally similar, although Limnocalanus, Holopedium, and zooplankton eggs were more prevalent in 2018 than the 1970s. Demographic data suggested at least two distinct cohorts and/or coregonine species in 2018. Post-hoc genetic testing of larvae in a parallel study suggested our samples comprised a mix of predominantly cisco (C. artedi), kiyi (C. kiyi), and bloater (C. hoyi). Early life history studies, when coupled with emerging genetic techniques that can identify larval coregonines to species, will provide a powerful combination to better understand population dynamics of coregonines at a time of ongoing restoration and rehabilitation efforts throughout the Great Lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.07.001","usgsCitation":"Lucke, V.S., Stewart, T., Vinson, M., Glase, J.D., and Stockwell, J.D., 2021, Larval Coregonus spp. diets and zooplankton community patterns in the Apostle Islands, Lake Superior: Journal of Great Lakes Research, v. 46, no. 5, p. 1391-1401, https://doi.org/10.1016/j.jglr.2020.07.001.","productDescription":"11 p.","startPage":"1391","endPage":"1401","ipdsId":"IP-118472","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":454497,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.07.001","text":"Publisher Index Page"},{"id":382869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg","text":"https://pubs.er.usgs.gov/manager/#cataloging-pane"}],"country":"United States","otherGeospatial":"Apostle Islands, Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.36093139648436,\n 46.58246235035155\n ],\n [\n -90.18814086914062,\n 46.58246235035155\n ],\n [\n -90.18814086914062,\n 47.135556272359196\n ],\n [\n -91.36093139648436,\n 47.135556272359196\n ],\n [\n -91.36093139648436,\n 46.58246235035155\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lucke, Verena S.","contributorId":248687,"corporation":false,"usgs":false,"family":"Lucke","given":"Verena","email":"","middleInitial":"S.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":809619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, Taylor R.","contributorId":203262,"corporation":false,"usgs":false,"family":"Stewart","given":"Taylor R.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":809620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vinson, Mark R. 0000-0001-5256-9539 mvinson@usgs.gov","orcid":"https://orcid.org/0000-0001-5256-9539","contributorId":3800,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark","email":"mvinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":809621,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glase, Jay D.","contributorId":248690,"corporation":false,"usgs":false,"family":"Glase","given":"Jay","email":"","middleInitial":"D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":809622,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":809623,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70213037,"text":"70213037 - 2021 - Nitrogen enrichment reduces nitrogen and phosphorus resorption through changes to species resorption and plant community composition","interactions":[],"lastModifiedDate":"2021-05-14T11:54:36.193092","indexId":"70213037","displayToPublicDate":"2020-08-10T06:47:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen enrichment reduces nitrogen and phosphorus resorption through changes to species resorption and plant community composition","docAbstract":"Anthropogenic nitrogen (N) deposition has affected plant community composition and nutrient cycling in terrestrial ecosystems worldwide. This includes changes to the way plants use and recycle nutrients, including effects on nutrient resorption, which is a key process through which plants recover nutrients from tissue during senescence. Nutrient resorption has considerable adaptive and functional significance for plants and helps regulate core ecosystem processes such as decomposition. However, our understanding of how N deposition affects nutrient resorption and, in particular, of how N inputs alter ecosystem resorption via changes to existing species’ resorption compared with changes to community composition remains poor. To disentangle the role of species versus community composition controls driving variation in nutrient resorption responses to N inputs, we carried out an experiment with six different N addition rates in a temperate steppe. We found that species-scale nutrient resorption responses to N enrichment were variable; for example, only half of the measured species reduced both N and P resorption efficiency in response to increased N inputs. In contrast, community-scale responses consistently resulted in reduced N and P resorption. Still, N-induced changes in community composition were a weaker control on overall resorption responses than were the effects on individual species; however, it was the synergistic interaction between the two that resulted in the large total reductions of nutrient resorption in the face of increased N. Taken together, our results highlight that understanding and predicting nutrient resorption responses will be most accurately scaled by accounting not only for species’ reductions in resorption but also for changes in community composition.
","language":"English","publisher":"Springer","doi":"10.1007/s10021-020-00537-0","usgsCitation":"Lu, X., Hou, S., Reed, S., Yin, J., Hu, Y., Wei, H., Zhang, Z., Yang, G., Liu, Z., and Han, X., 2021, Nitrogen enrichment reduces nitrogen and phosphorus resorption through changes to species resorption and plant community composition: Ecosystems, v. 24, p. 602-612, https://doi.org/10.1007/s10021-020-00537-0.","productDescription":"11 p.","startPage":"602","endPage":"612","onlineOnly":"N","ipdsId":"IP-103635","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":378182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","noUsgsAuthors":false,"publicationDate":"2020-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Lu, Xiao-Tao","contributorId":196421,"corporation":false,"usgs":false,"family":"Lu","given":"Xiao-Tao","email":"","affiliations":[],"preferred":false,"id":798022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hou, Shuang-Li","contributorId":196422,"corporation":false,"usgs":false,"family":"Hou","given":"Shuang-Li","email":"","affiliations":[],"preferred":false,"id":798023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yin, Jiang-Xia","contributorId":239886,"corporation":false,"usgs":false,"family":"Yin","given":"Jiang-Xia","email":"","affiliations":[{"id":48023,"text":"School of Life Sciences, Liaoning University, Shenyang 110036, China","active":true,"usgs":false}],"preferred":false,"id":798025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hu, Yan-Yu","contributorId":196423,"corporation":false,"usgs":false,"family":"Hu","given":"Yan-Yu","email":"","affiliations":[],"preferred":false,"id":798026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, Hai-Wei","contributorId":196424,"corporation":false,"usgs":false,"family":"Wei","given":"Hai-Wei","email":"","affiliations":[],"preferred":false,"id":798027,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Zhi-Wei","contributorId":239887,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhi-Wei","email":"","affiliations":[{"id":48023,"text":"School of Life Sciences, Liaoning University, Shenyang 110036, China","active":true,"usgs":false}],"preferred":false,"id":798028,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yang, Guo-Jiao","contributorId":239888,"corporation":false,"usgs":false,"family":"Yang","given":"Guo-Jiao","email":"","affiliations":[{"id":48025,"text":"Erguna Forest-Steppe Ecotone Research Station, CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China","active":true,"usgs":false}],"preferred":false,"id":798029,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Zhuo-Yi","contributorId":239889,"corporation":false,"usgs":false,"family":"Liu","given":"Zhuo-Yi","email":"","affiliations":[{"id":48025,"text":"Erguna Forest-Steppe Ecotone Research Station, CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China","active":true,"usgs":false}],"preferred":false,"id":798030,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Han, Xing-Guo","contributorId":239890,"corporation":false,"usgs":false,"family":"Han","given":"Xing-Guo","email":"","affiliations":[{"id":48026,"text":"State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China","active":true,"usgs":false}],"preferred":false,"id":798031,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70213293,"text":"70213293 - 2021 - Mortality predispositions of conifers across western USA","interactions":[],"lastModifiedDate":"2020-12-29T21:33:00.393927","indexId":"70213293","displayToPublicDate":"2020-08-09T12:07:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Mortality predispositions of conifers across western USA","docAbstract":"Warming climate and resulting declines in seasonal snowpack have been associated with drought stress and tree mortality in seasonally snow‐covered watersheds worldwide. Meanwhile, increasing forest density has further exacerbated drought stress due to intensified tree‐tree competition. Using a uniquely detailed dataset of population‐level forest growth (n=2495 sampled trees), we examined how inter‐annual variability in growth relates to snow volume across a range of forest densities (e.g., competitive environments) in sites spanning a broad aridity gradient across the United States. Forest growth was positively related to snowpack in water‐limited forests located at low latitude, and this relationship was intensified by forest density. However, forest growth was negatively related to snowpack in a higher latitude more energy‐limited forest, and this relationship did not interact with forest density. Future reductions in snowpack may have contrasting consequences, as growth may respond positively in energy‐limited forests and negatively in water‐limited forests; however, these declines may be mitigated by reducing stand density through forest thinning.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2211","usgsCitation":"Gleason, K.E., Bradford, J., D’Amato, A.W., Fraver, S., Palik, B.J., and Battaglia, M.A., 2021, Forest density intensifies the importance of snowpack to growth in water-limited pine forests: Ecological Applications, v. 31, no. 1, e02211, 12 p., https://doi.org/10.1002/eap.2211.","productDescription":"e02211, 12 p.","ipdsId":"IP-092237","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":454503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2211","text":"Publisher Index Page"},{"id":377424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Gleason, Kelly Erika 0000-0001-5619-7568 kgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5619-7568","contributorId":238040,"corporation":false,"usgs":true,"family":"Gleason","given":"Kelly","email":"kgleason@usgs.gov","middleInitial":"Erika","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false},{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":795905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraver, Shawn","contributorId":91379,"corporation":false,"usgs":false,"family":"Fraver","given":"Shawn","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":795906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palik, Brian J.","contributorId":190301,"corporation":false,"usgs":false,"family":"Palik","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":795907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Battaglia, Michael A.","contributorId":228827,"corporation":false,"usgs":false,"family":"Battaglia","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":795908,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70218475,"text":"70218475 - 2021 - Identifying sources and year classes contributing to invasive grass carp in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2021-03-01T15:41:18.367287","indexId":"70218475","displayToPublicDate":"2020-08-02T09:31:59","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":"Identifying sources and year classes contributing to invasive grass carp in the Laurentian Great Lakes","docAbstract":"Relative contributions of aquaculture-origin and naturally-reproduced grass carp (Ctenopharyngodon idella) in the Laurentian Great Lakes have been unknown. We assessed occurrence and distribution of aquaculture-origin and wild grass carp in the Great Lakes using ploidy and otolith stable oxygen isotope (δ18O) data. We inferred natal river and dispersal from natal location for wild grass carp using otolith microchemistry and estimated ages of wild and aquaculture-origin fish to infer years in which natural reproduction and introductions occurred. Otolith δ18O indicated that the Great Lakes contain a mixture of wild grass carp and both diploid and triploid, aquaculture-origin grass carp. Eighty-eight percent of wild fish (n = 49 of 56) were caught in the Lake Erie basin. Otolith microchemistry indicated that most wild grass carp likely originated in the Sandusky or Maumee rivers where spawning has previously been confirmed, but results suggested recruitment from at least one other Great Lakes tributary may have occurred. Three fish showed evidence of movement between their inferred natal river in western Lake Erie and capture locations in other lakes in the Great Lakes basin. Age estimates indicated that multiple year classes of wild grass carp are present in the Lake Erie basin, recruitment to adulthood has occurred, and introductions of aquaculture-origin fish have happened over multiple years. Knowledge of sources contributing to grass carp in the Great Lakes basin will be useful for informing efforts to prevent further introductions and spread and to develop strategies to contain and control natural recruitment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.07.008","usgsCitation":"Whitledge, G.W., Chapman, D., Farver, J., Herbst, S., Mandrak, N.E., Miner, J., Pangle, K.L., and Kocovsky, P., 2021, Identifying sources and year classes contributing to invasive grass carp in the Laurentian Great Lakes: Journal of Great Lakes Research, v. 47, no. 1, p. 14-28, https://doi.org/10.1016/j.jglr.2020.07.008.","productDescription":"15 p.","startPage":"14","endPage":"28","ipdsId":"IP-114172","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":454505,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.07.008","text":"Publisher Index Page"},{"id":436677,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99ZC08Q","text":"USGS data release","linkHelpText":"Development of an age estimation method for Grass Carp from North America"},{"id":383687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, New York, Ohio, Ontario","otherGeospatial":"Cuyahoga River, Grand River, Lake Erie, Lake St. Clair, Maumee River, Niagara River, Portage River, River Raisin, Sandusky River, Welland Canal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.5947265625,\n 41.08763212467916\n ],\n [\n -78.3544921875,\n 41.08763212467916\n ],\n [\n -78.3544921875,\n 44.42593442145313\n ],\n [\n -84.5947265625,\n 44.42593442145313\n ],\n [\n -84.5947265625,\n 41.08763212467916\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whitledge, Gregory W.","contributorId":205604,"corporation":false,"usgs":false,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":811130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":811131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farver, John","contributorId":223527,"corporation":false,"usgs":false,"family":"Farver","given":"John","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":811132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herbst, Seth","contributorId":252926,"corporation":false,"usgs":false,"family":"Herbst","given":"Seth","affiliations":[{"id":50471,"text":"Michigan Department of Natural Resources, Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":811133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mandrak, Nicholas E.","contributorId":177869,"corporation":false,"usgs":false,"family":"Mandrak","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":811134,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miner, Jeffrey G.","contributorId":252927,"corporation":false,"usgs":false,"family":"Miner","given":"Jeffrey G.","affiliations":[{"id":50472,"text":"Department of Biological Sciences, Bowling Green State University, Bowling Green, OH","active":true,"usgs":false}],"preferred":false,"id":811135,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pangle, Kevin L.","contributorId":205579,"corporation":false,"usgs":false,"family":"Pangle","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":37116,"text":"Department of Biology, Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":811136,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":811137,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70213321,"text":"70213321 - 2021 - Lake trout growth is sensitive to spring temperature in southwest Alaska lakes","interactions":[],"lastModifiedDate":"2020-12-23T18:46:36.427896","indexId":"70213321","displayToPublicDate":"2020-07-30T10:32:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Lake trout growth is sensitive to spring temperature in southwest Alaska lakes","docAbstract":"In high‐latitude lakes, air temperature is an important driver of ice cover thickness and duration, which in turn influence water temperature and primary production supporting lake consumers and predators. In lieu of multidecadal observational records necessary to assess the response of lakes to long‐term warming, we used otolith‐based growth records from a long‐lived resident lake fish, lake trout (Salvelinus namaycush), as a proxy for production. Lake trout were collected from seven deep, oligotrophic lakes in Lake Clark National Park and Preserve on in southwest Alaska that varied in the presence of marine‐derived nutrients (MDN) from anadromous sockeye salmon (Oncorhynchus nerka). Linear mixed‐effects models were used to partition variation in lake trout growth by age and calendar‐year and model comparisons tested for a mean increase in lake trout growth with sockeye salmon presence. Year effects from the best mixed‐effects model were subsequently compared to indices of temperature, lake ice, and regional indices of sockeye salmon escapement. A strong positive correlation between annual lake trout growth and temperature suggested that warmer springs, earlier lake ice break‐up, and a longer ice‐free growing season increase lake trout growth via previously identified bottom‐up increases in production with warming. Accounting for differences in the presence or annual escapement of sockeye salmon with available data did not improve model fit. Collectively with other studies, the results suggest that productivity of subarctic lakes has benefitted from warming spring temperatures and that temperature can synchronise otolith growth across lakes with and without sockeye salmon MDN.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12566","usgsCitation":"von Biela, V.R., Black, B.A., Young, D.B., van der Sleen, P., Bartz, K.K., and Zimmerman, C.E., 2021, Lake trout growth is sensitive to spring temperature in southwest Alaska lakes: Ecology of Freshwater Fish, v. 30, no. 1, p. 88-99, https://doi.org/10.1111/eff.12566.","productDescription":"12 p.","startPage":"88","endPage":"99","ipdsId":"IP-108517","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":436679,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92YV00Z","text":"USGS data release","linkHelpText":"Lake Trout Otolith Growth Increment Measurements, Lake Clark National Park and Preserve, Alaska, 1979-2012"},{"id":378510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lake Clark National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.852294921875,\n 59.58441353704829\n ],\n [\n -152.127685546875,\n 59.58441353704829\n ],\n [\n -152.127685546875,\n 61.59071955121135\n ],\n [\n -154.852294921875,\n 61.59071955121135\n ],\n [\n -154.852294921875,\n 59.58441353704829\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":799026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":799027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":799028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van der Sleen, Peter","contributorId":203860,"corporation":false,"usgs":false,"family":"van der Sleen","given":"Peter","email":"","affiliations":[{"id":36731,"text":"University of Texas Marine Science Institute","active":true,"usgs":false}],"preferred":false,"id":799029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartz, Krista K.","contributorId":200705,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":799030,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":799031,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70211325,"text":"70211325 - 2021 - Amazon sediment transport and accumulation along the continuum of mixed fluvial and marine processes","interactions":[],"lastModifiedDate":"2021-01-18T22:59:16.372724","indexId":"70211325","displayToPublicDate":"2020-07-24T10:33:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":811,"text":"Annual Review of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Amazon sediment transport and accumulation along the continuum of mixed fluvial and marine processes","docAbstract":"Sediment transfer from land to ocean begins in coastal settings and, for large rivers such as the Amazon, has dramatic impacts over thousands of kilometers covering diverse environmental conditions. In the relatively natural Amazon tidal river, combinations of fluvial and marine processes transition toward the ocean, affecting the transport and accumulation of sediment in floodplains and tributary mouths. The enormous discharge of Amazon fresh water causes estuarine processes to occur on the continental shelf, where much sediment accumulation creates a large clinoform structure and where additional sediment accumulates along its shoreward boundary in tidal flats and mangrove forests. Some remaining Amazon sediment is transported beyond the region near the river mouth, and fluvial forces on it diminish. Numerous perturbations to Amazon sediment transport and accumulation occur naturally, but human actions will likely dominate future change and now is the time to document, understand, and mitigate their impacts.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-marine-010816-060457","usgsCitation":"Nittrouer, C.A., DeMaster, D.J., Kuehl, S., Figueiredo, A.G., Sternberg, R., Faria, L.E., Silveira, O.M., Allison, M.A., Kineke, G.C., Ogston, A.S., Souza Filho, P., Asp, N.E., Nowacki, D.J., and Fricke, A.T., 2021, Amazon sediment transport and accumulation along the continuum of mixed fluvial and marine processes: Annual Review of Marine Science, v. 13, p. 501-536, https://doi.org/10.1146/annurev-marine-010816-060457.","productDescription":"36 p.","startPage":"501","endPage":"536","ipdsId":"IP-117404","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454507,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-marine-010816-060457","text":"Publisher Index Page"},{"id":376687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Amazon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -54.4921875,\n -2.1967272417616583\n ],\n [\n -47.724609375,\n -2.1967272417616583\n ],\n [\n -47.724609375,\n 1.5818302639606454\n ],\n [\n -54.4921875,\n 1.5818302639606454\n ],\n [\n -54.4921875,\n -2.1967272417616583\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nittrouer, Charles A.","contributorId":51218,"corporation":false,"usgs":false,"family":"Nittrouer","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":793785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeMaster, David J.","contributorId":229655,"corporation":false,"usgs":false,"family":"DeMaster","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":793786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuehl, Steven A.","contributorId":229656,"corporation":false,"usgs":false,"family":"Kuehl","given":"Steven A.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":793787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Figueiredo, Alberto G.","contributorId":229657,"corporation":false,"usgs":false,"family":"Figueiredo","given":"Alberto","email":"","middleInitial":"G.","affiliations":[{"id":41699,"text":"Universidade Federal Fluminense","active":true,"usgs":false}],"preferred":false,"id":793788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sternberg, Richard W.","contributorId":229658,"corporation":false,"usgs":false,"family":"Sternberg","given":"Richard W.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":793789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Faria, L. Ercilio C.","contributorId":229659,"corporation":false,"usgs":false,"family":"Faria","given":"L.","email":"","middleInitial":"Ercilio C.","affiliations":[{"id":41700,"text":"Universidade Federal do Pará","active":true,"usgs":false}],"preferred":false,"id":793790,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Silveira, Odete M.","contributorId":229660,"corporation":false,"usgs":false,"family":"Silveira","given":"Odete","email":"","middleInitial":"M.","affiliations":[{"id":41700,"text":"Universidade Federal do Pará","active":true,"usgs":false}],"preferred":false,"id":793791,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allison, Meade A.","contributorId":229661,"corporation":false,"usgs":false,"family":"Allison","given":"Meade","email":"","middleInitial":"A.","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":793792,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kineke, Gail C.","contributorId":229662,"corporation":false,"usgs":false,"family":"Kineke","given":"Gail","email":"","middleInitial":"C.","affiliations":[{"id":13422,"text":"Boston College","active":true,"usgs":false}],"preferred":false,"id":793793,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ogston, Andrea S.","contributorId":229663,"corporation":false,"usgs":false,"family":"Ogston","given":"Andrea","email":"","middleInitial":"S.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":793794,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Souza Filho, Pedro W.M.","contributorId":229664,"corporation":false,"usgs":false,"family":"Souza Filho","given":"Pedro W.M.","affiliations":[{"id":41701,"text":"Instituto Technológico Vale","active":true,"usgs":false}],"preferred":false,"id":793795,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Asp, Nils E.","contributorId":229665,"corporation":false,"usgs":false,"family":"Asp","given":"Nils","email":"","middleInitial":"E.","affiliations":[{"id":41700,"text":"Universidade Federal do Pará","active":true,"usgs":false}],"preferred":false,"id":793796,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nowacki, Daniel J. 0000-0002-7015-3710 dnowacki@usgs.gov","orcid":"https://orcid.org/0000-0002-7015-3710","contributorId":174586,"corporation":false,"usgs":true,"family":"Nowacki","given":"Daniel","email":"dnowacki@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":793797,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fricke, Aaron T.","contributorId":229666,"corporation":false,"usgs":false,"family":"Fricke","given":"Aaron","email":"","middleInitial":"T.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":793798,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70216198,"text":"70216198 - 2021 - Validation of the model-predicted spawning area of grass carp Ctenopharyngodon idella in the Sandusky River","interactions":[],"lastModifiedDate":"2023-01-19T16:30:04.172544","indexId":"70216198","displayToPublicDate":"2020-07-23T07:05:41","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}},"displayTitle":"Validation of the model-predicted spawning area of grass carp Ctenopharyngodon idella in the Sandusky River","title":"Validation of the model-predicted spawning area of grass carp Ctenopharyngodon idella in the Sandusky River","docAbstract":"Spawning of grass carp, Ctenopharyngodon idella, in the Great Lakes basin was verified when eight fertilized eggs were collected in the Sandusky River, a tributary to Lake Erie, in 2015. Using a fluvial drift model (FluEgg) and simulation modeling, researchers predicted the fertilization location for those eggs was 3.8 ± 1 km (95% credible interval, CI) downstream of Ballville Dam. In June 2018, simultaneous collection of fertilized eggs and adults within the model-predicted spawning area provided the opportunity to verify the fertilization location. We used estimated developmental time (Dt) of eggs calculated from developmental stages, water temperature, and an equation that predicts Dt from cumulative thermal units experienced by developing eggs, in two analyses. First, we regressed Dt versus location of capture and solved that equation for developmental time of 0 hrs (Dt0) to estimate fertilization location. Second, we used Dt in the Fluvial Drift Simulator (FluEgg) to simulate 23 scenarios representative of drift conditions throughout the spawning event using the model-predicted spawning area and the site of Ballville Dam as potential spawning locations. Regression analysis placed the mean fertilization location 3.36 km (95% CI 2.27, 4.24) downstream of the site of Ballville Dam, within the model-predicted spawning area. Drift models demonstrated the model-predicted spawning area was best supported. Histograms of fertilization times overlapped with capture times by boat electrofishing of diploid adult grass carp in the model-predicted spawning area. This suite of analyses confirms the model-predicted spawning area and validates the methodology used to locate it.
No abstract available.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2020.1794082","usgsCitation":"Roop, H.J., Poudyal, N., and Jennings, C.A., 2021, Fishing preferences, angling behavior, and attitudes toward management: A comparison between White and Nonwhite anglers: Human Dimensions of Wildlife, v. 26, no. 1, p. 84-89, https://doi.org/10.1080/10871209.2020.1794082.","productDescription":"6 p.","startPage":"84","endPage":"89","ipdsId":"IP-119999","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Roop, H. J.","contributorId":275269,"corporation":false,"usgs":false,"family":"Roop","given":"H.","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":836098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poudyal, N. C.","contributorId":275270,"corporation":false,"usgs":false,"family":"Poudyal","given":"N. C.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":836099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836100,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70213101,"text":"70213101 - 2021 - Where you trap matters: Implications for integrated sea lamprey management","interactions":[],"lastModifiedDate":"2022-01-06T15:58:02.282444","indexId":"70213101","displayToPublicDate":"2020-07-18T06:48:30","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":"Where you trap matters: Implications for integrated sea lamprey management","docAbstract":"Barriers and pesticides have been used in streams to control sea lamprey in the Laurentian Great Lakes for nearly 70 years. Considerable effort has been spent to develop additional control measures, but much less effort has gone toward identifying how or where additional control measures might be cost-effectively integrated into the sea lamprey control program. We use a management strategy evaluation model in Lake Michigan to identify the stream types that would be most suitable for deploying traps to remove adults prior to spawning and estimate the likely impact on adult sea lamprey abundance in subsequent years under several trapping scenarios relative to status quo abundance. The greatest reduction in lake-wide adult sea lamprey abundance predicted by the model resulted when removing adult sea lampreys from streams that are difficult for control program personnel to treat with lampricide because lampricide applications would be required less frequently. Additionally, targeting streams which experience regular sea lamprey recruitment and streams with low adult sea lamprey density should result in reduced lake-wide abundance if trapping costs are relatively low or removal is high. Our results provide direction on where to trap and why, and indicate that trapping may be a valuable part of an integrated sea lamprey control approach advancing the goals of the Great Lakes Fishery Commission.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.06.023","usgsCitation":"Miehls, S.M., Dawson, H., Maguffee, A., Johnson, N., Jones, M., and Dobiesz, N., 2021, Where you trap matters: Implications for integrated sea lamprey management: Journal of Great Lakes Research, v. 47, no. Suppl 1, p. S320-S327, https://doi.org/10.1016/j.jglr.2020.06.023.","productDescription":"8 p.","startPage":"S320","endPage":"S327","onlineOnly":"N","ipdsId":"IP-115542","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":454510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.06.023","text":"Publisher Index Page"},{"id":378245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"Suppl 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":798248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Heather","contributorId":96577,"corporation":false,"usgs":true,"family":"Dawson","given":"Heather","affiliations":[{"id":27267,"text":"University of Michigan-Flint","active":true,"usgs":false}],"preferred":false,"id":798249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maguffee, Alex","contributorId":239976,"corporation":false,"usgs":false,"family":"Maguffee","given":"Alex","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":798250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":798251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, M.W.","contributorId":239977,"corporation":false,"usgs":false,"family":"Jones","given":"M.W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":798252,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dobiesz, Norine","contributorId":239978,"corporation":false,"usgs":false,"family":"Dobiesz","given":"Norine","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":798253,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70219007,"text":"70219007 - 2021 - Effects of plunge pool configuration on downstream passage survival of juvenile blueback herring","interactions":[],"lastModifiedDate":"2021-03-19T12:35:57.214947","indexId":"70219007","displayToPublicDate":"2020-07-15T07:34:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7768,"text":"Aquaculture and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Effects of plunge pool configuration on downstream passage survival of juvenile blueback herring","docAbstract":"Anadromous alosines are widespread throughout the Northern Hemisphere. Juveniles of this clade are notoriously fragile animals that are at high risk of injury and death associated with passage at hydroelectric facilities. Although turbine mortality is a common concern, conditions encountered when bypassed around these routes may also be hazardous. Downstream bypass structures typically discharge into plunge pools, which are highly turbulent and may cause mechanical injury. We subjected live, actively migrating juvenile blueback herring to a suite of realistic plunge pool conditions (3 m drop, pool depth of 60–180 cm, and discharge of 0.28–1.70 m3/s) and monitored them for ≥ 96 h. Survival was generally higher than expected (>80% in all cases). However, both plunge pool volume and total discharge affected survival with elevated discharge and shallow conditions associated with increased mortality. Mortality was often delayed: rates remained elevated throughout the monitoring period, indicating that survival studies based on shorter periods underestimate total mortality.
Widespread invasion by non-native, submerged aquatic vegetation (SAV) may modify the sediment budget of an estuary, reducing the availability of inorganic sediment required by marshes to maintain their position in the tidal frame. The instantaneous trapping rate of suspended sediment in SAV patches in an estuary has not previously been quantified via field observations. In this study, flows of water and suspended sediment through patches of invasive SAV were measured at three tidally forced, freshwater sites, all located within the Sacramento-San Joaquin Delta in California. An acoustic Doppler current profiler deployed from a roving vessel provided velocity and backscatter data used to quantify fluxes of both water and suspended sediment. Sediment trapping efficiency, defined as instantaneous net trapped flux divided by incident flux, was positive in 24 of 29 cases, averaging + 5%. Coupled with 3 years of measured sediment flux data at one site, this suggests that trapping averages 3.7 kg m−2 year−1. This estimate compares favorably with the mean mass accumulation rate of 3.8 kg m−2 year−1 estimated from dated sediment cores collected at the study sites. Long-term measurements made upstream reveal a strong negative trend (− 1.8% year−1) in suspended sediment concentration, and intra-annual changes in both suspended sediment concentration and percent fines. The large footprint and high spatial density of invasive SAV coupled with declining sediment supply are diminishing downstream suspended sediment concentrations, potentially reducing the resiliency of marshes in the Delta and lower estuary to future sea-level rise.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-020-00799-w","usgsCitation":"Work, P.A., Downing-Kunz, M.A., and Drexler, J.Z., 2021, Trapping of suspended sediment by submerged aquatic vegetation in a tidal freshwater region: Field observations and long-term trends: Estuaries and Coasts, v. 44, p. 734-739, https://doi.org/10.1007/s12237-020-00799-w.","productDescription":"6 p.","startPage":"734","endPage":"739","ipdsId":"IP-114567","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":376440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.32177734375,\n 37.60117623656667\n ],\n [\n -121.17919921875001,\n 37.60117623656667\n ],\n [\n -121.17919921875001,\n 38.543869175876154\n ],\n [\n -122.32177734375,\n 38.543869175876154\n ],\n [\n -122.32177734375,\n 37.60117623656667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2020-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Paul A. 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":168561,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318 mdowning-kunz@usgs.gov","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":3690,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen","email":"mdowning-kunz@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211507,"text":"70211507 - 2021 - A synthesis of the biology and ecology of sculpin species in the Laurentian Great Lakes and implications for the adaptive capacity of the benthic ecosystem","interactions":[],"lastModifiedDate":"2021-02-03T23:03:20.36816","indexId":"70211507","displayToPublicDate":"2020-07-14T09:32:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5984,"text":"Reviews in Fisheries Science and Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"A synthesis of the biology and ecology of sculpin species in the Laurentian Great Lakes and implications for the adaptive capacity of the benthic ecosystem","docAbstract":"The Laurentian Great Lakes have experienced recent ecosystem changes that could lead to reductions in adaptive capacity and ultimately a loss of biodiversity and production throughout the food web. Observed changes in Great Lakes benthic communities include declines of native species and widespread success of invasive species like dreissenid mussels in all but Lake Superior. Understanding the ecology of native benthic deepwater preyfish and the reasons for their declines is important for predicting future losses in adaptive capacity and diversity, as well as managing the Great Lakes ecosystem to avoid such losses. Native sculpin species (Cottus bairdii, C. cognatus, C. ricei, Myoxocephalus thompsonii) historically were among the most abundant of the Great Lakes native deepwater benthic preyfish community and are an important link between offshore benthic and pelagic food webs. With one exception, these species have declined in abundance throughout the Great Lakes in recent years, but relatively little is known about their biology and ecology. This review synthesizes the available knowledge for the Great Lakes sculpin species and provides suggestions for future research efforts, which include understanding reproductive ecology and spawning behavior, connectivity and dispersal of populations, early life history, and influences of interactions with native and non-native species.
Estuarine food webs are fueled by multiple different primary producers. However, identifying the relative importance of each producer to consumers is difficult, particularly for fishes that utilize multiple food sources due to both their mobility and their generally high trophic levels. Previous studies have documented broad spatial differences in the importance of primary producers to fishes within the Upper San Francisco Estuary, California, including separation between pelagic and littoral food webs. In this study, we evaluated the importance of primary producers to adult fishes in three closely spaced subregions that represented disparate habitat types (a tidal wetland channel, a turbid backwater channel, and a deep open-water channel), each a potential outcome of local restoration projects. Using stable isotope analysis coupled with a Bayesian mixing model, we identified significant differences in primary-producer contribution to fishes and invertebrates across habitats and seasons, especially in the relative contribution of submersed aquatic vegetation and phytoplankton. Most fishes utilized multiple primary producers and showed little segregation between pelagic and littoral food webs among habitats. Availability of primary producers differs seasonally and across multiple spatial scales, helping to buffer environmental variability and thus enhancing food web resilience. Ecosystem restoration may improve with emphasis on restoring a wide variety of primary producers to support consumers.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-020-00762-9","usgsCitation":"Young, M.J., Howe, E.R., O’Rear, T., Berridge, K., and Moyle, P.B., 2021, Food web fuel differs across habitats and seasons of a tidal freshwater estuary: Estuaries and Coasts, v. 44, p. 286-301, https://doi.org/10.1007/s12237-020-00762-9.","productDescription":"16 p.","startPage":"286","endPage":"301","ipdsId":"IP-107933","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":454518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-020-00762-9","text":"Publisher Index Page"},{"id":381104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta, Upper San Francisco Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.80782318115233,\n 38.226314067139185\n ],\n [\n -121.67770385742186,\n 38.226314067139185\n ],\n [\n -121.67770385742186,\n 38.32011084501538\n ],\n [\n -121.80782318115233,\n 38.32011084501538\n ],\n [\n -121.80782318115233,\n 38.226314067139185\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2020-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howe, Emily R.","contributorId":177088,"corporation":false,"usgs":false,"family":"Howe","given":"Emily","email":"","middleInitial":"R.","affiliations":[{"id":17978,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, USA","active":true,"usgs":false}],"preferred":false,"id":806324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Rear, Teejay","contributorId":245510,"corporation":false,"usgs":false,"family":"O’Rear","given":"Teejay","email":"","affiliations":[{"id":49210,"text":"Univ. of California, Davis, Center for Watershed Sciences","active":true,"usgs":false}],"preferred":false,"id":806325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berridge, Kathleen","contributorId":245511,"corporation":false,"usgs":false,"family":"Berridge","given":"Kathleen","email":"","affiliations":[{"id":49211,"text":"Univ. of California, Davis, Center for Watershed Sci. AND Environmental Science Associates","active":true,"usgs":false}],"preferred":false,"id":806326,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moyle, Peter B.","contributorId":117099,"corporation":false,"usgs":false,"family":"Moyle","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":806327,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218225,"text":"70218225 - 2021 - Estimating inundation of small waterbodies with sub-pixel analysis of Landsat imagery: Long-term trends in surface water area and evaluation of common drought indices","interactions":[],"lastModifiedDate":"2021-03-19T20:54:21.790299","indexId":"70218225","displayToPublicDate":"2020-07-10T12:29:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5347,"text":"Remote Sensing in Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Estimating inundation of small waterbodies with sub-pixel analysis of Landsat imagery: Long-term trends in surface water area and evaluation of common drought indices","docAbstract":"Small waterbodies are numerically dominant in many landscapes and provide several important ecosystem services, but automated measurement of waterbodies smaller than a standard Landsat pixel (0.09 ha) remains challenging. To further evaluate sub‐Landsat pixel techniques for estimating inundation extent of small waterbodies (basin area: 0.06–1.79 ha), we used a partial spectral unmixing method with matched filtering applied to September 1985–2018 Landsat 5 and eight imagery from southern Arizona, USA. We estimated trends in modeled surface water area each September and evaluated the ability of several common drought indices to explain variation in mean water area. Our methods accurately classified waterbodies as dry or inundated (Landsat 5: 91.3%; Landsat 8: 98.9%) and modeled and digitized surface water areas were strongly correlated (R2 = 0.70–0.92; bias = −0.024 to −0.015 ha). Estimated surface water area was best explained by the 3‐month seasonal standardized precipitation index (SPI03; July‒September). We found a wide range of estimated relationships between drought indices (e.g. SPI vs. Palmer Drought Severity Index) and estimated water area, even for different durations of the same drought index (e.g. SPI01 vs. SPI12). Mean waterbody surface area decreased by ~14% from September 1985 to September 2018, which matches declines in local annual precipitation and regional trends of reduced inundation extent of larger waterbodies. These results emphasize the importance of understanding local systems when relying on drought indices to infer variation in past or future surface water dynamics. Several challenges remain before widespread application of sub‐pixel methods is feasible, but our results provide further evidence that partial spectral unmixing with matched filtering provides reliable measures of inundation extent of small waterbodies.
","language":"English","publisher":"Zoological Society of London (Wiley)","doi":"10.1002/rse2.172","usgsCitation":"Sall, I., Jarchow, C., Sigafus, B.H., Eby, L., Forzley, M.J., and Hossack, B., 2021, Estimating inundation of small waterbodies with sub-pixel analysis of Landsat imagery: Long-term trends in surface water area and evaluation of common drought indices: Remote Sensing in Ecology and Conservation, v. 7, no. 1, p. 109-124, https://doi.org/10.1002/rse2.172.","productDescription":"16 p.","startPage":"109","endPage":"124","ipdsId":"IP-114730","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":454519,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.172","text":"Publisher Index Page"},{"id":383382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona","otherGeospatial":"San Rafael Valley and neighboring areas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.89599609375,\n 31.283245492650792\n ],\n [\n -110.2313232421875,\n 31.283245492650792\n ],\n [\n -110.2313232421875,\n 31.991771310172094\n ],\n [\n -110.89599609375,\n 31.991771310172094\n ],\n [\n -110.89599609375,\n 31.283245492650792\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Sall, Ibrahima 0000-0002-7526-636X","orcid":"https://orcid.org/0000-0002-7526-636X","contributorId":251750,"corporation":false,"usgs":false,"family":"Sall","given":"Ibrahima","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":810490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarchow, Christopher J. 0000-0002-0424-4104","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":211737,"corporation":false,"usgs":false,"family":"Jarchow","given":"Christopher J.","affiliations":[{"id":38314,"text":"USGS Southwest Biological Science Center, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":810491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sigafus, Brent H. 0000-0002-7422-8927 bsigafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7422-8927","contributorId":4534,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent","email":"bsigafus@usgs.gov","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":810492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eby, Lisa A","contributorId":251751,"corporation":false,"usgs":false,"family":"Eby","given":"Lisa A","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":810493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Forzley, Michael James 0000-0001-5307-8459","orcid":"https://orcid.org/0000-0001-5307-8459","contributorId":251752,"corporation":false,"usgs":true,"family":"Forzley","given":"Michael","email":"","middleInitial":"James","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":810494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":810495,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216547,"text":"70216547 - 2021 - What could explain δ13C signatures in biocrust cyanobacteria of drylands?","interactions":[],"lastModifiedDate":"2021-01-19T16:15:25.123233","indexId":"70216547","displayToPublicDate":"2020-07-03T10:31:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2729,"text":"Microbial Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"What could explain δ13C signatures in biocrust cyanobacteria of drylands?","title":"What could explain δ13C signatures in biocrust cyanobacteria of drylands?","docAbstract":"Dryland ecosystems are increasing in geographic extent and contribute greatly to interannual variability in global carbon dynamics. Disentangling interactions among dominant primary producers, including plants and autotrophic microbes, can help partition their contributions to dryland C dynamics. We measured the δ13C signatures of biological soil crust cyanobacteria and dominant plant species (C3 and C4) across a regional scale in the southwestern USA to determine if biocrust cyanobacteria were coupled to plant productivity (using plant-derived C mixotrophically), or independent of plant activity (and therefore purely autotrophic). Cyanobacterial assemblages located next to all C3 plants and one C4 species had consistently more negative δ13C (by 2‰) than the cyanobacteria collected from plant interspaces or adjacent to two C4Bouteloua grass species. The differences among cyanobacterial assemblages in δ13C could not be explained by cyanobacterial community composition, photosynthetic capacity, or any measured leaf or root characteristics (all slopes not different from zero). Thus, microsite differences in abiotic conditions near plants, rather than biotic interactions, remain a likely mechanism underlying the observed δ13C patterns to be tested experimentally.
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Measurements using modern noble-gas mass spectrometers are now producing 40Ar/39Ar dates with analytical uncertainties of ∼0.1%, thereby providing precise time constraints for a wide range of geologic and extraterrestrial processes. Analyses of increasingly smaller subsamples have revealed age dispersion in many materials, including some minerals used as neutron fluence monitors. Accordingly, interpretive strategies are evolving to address observed dispersion in dates from a single sample. Moreover, inferring a geologically meaningful “age” from a measured “date” or set of dates is dependent on the geological problem being addressed and the salient assumptions associated with each set of data. We highlight requirements for collateral information that will better constrain the interpretation of 40Ar/39Ar data sets, including those associated with single-crystal fusion analyses, incremental heating experiments, and in situ analyses of microsampled domains. To ensure the utility and viability of published results, we emphasize previous recommendations for reporting 40Ar/39Ar data and the related essential metadata, with the amendment that data conform to evolving standards of being findable, accessible, interoperable, and reusable (FAIR) by both humans and computers. Our examples provide guidance for the presentation and interpretation of 40Ar/39Ar dates to maximize their interdisciplinary usage, reproducibility, and longevity.
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Ensenada-Tijuana No 3918, Ensenada, Baja California, Mexico","active":true,"usgs":false}],"preferred":false,"id":793590,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Qiu, Huaning 0000-0002-4971-3664","orcid":"https://orcid.org/0000-0002-4971-3664","contributorId":229591,"corporation":false,"usgs":false,"family":"Qiu","given":"Huaning","email":"","affiliations":[{"id":41687,"text":"Key Laboratory of Tectonics and Petroleum Resources (China University of Geosciences), Ministry of Education, Wuhan 430074, China","active":true,"usgs":false}],"preferred":false,"id":793591,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Singer, Brad S. 0000-0003-3595-5168","orcid":"https://orcid.org/0000-0003-3595-5168","contributorId":229592,"corporation":false,"usgs":false,"family":"Singer","given":"Brad","email":"","middleInitial":"S.","affiliations":[{"id":41688,"text":"Department of Geosciences, University of Wisconsin-Madison, Madison, WI 53716, USA","active":true,"usgs":false}],"preferred":false,"id":793592,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}} ,{"id":70211895,"text":"70211895 - 2021 - Sediment budget estimates for a highly impacted embayment with extensive wetland loss","interactions":[],"lastModifiedDate":"2021-03-19T20:20:11.364762","indexId":"70211895","displayToPublicDate":"2020-07-01T08:16:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Sediment budget estimates for a highly impacted embayment with extensive wetland loss","docAbstract":"External sediment supply is an important control on wetland morphology and vulnerability to storms, sea-level rise, and land use change. Constraining sediment supply and net budgets is difficult due to multiple timescales of variability in hydrodynamic forcing and suspended-sediment concentrations, as well as the fundamental limitations of measurement and modeling technologies. We used two independent observational campaigns and one hydrodynamic modeling effort to estimate the sediment supply to Jamaica Bay, New York, USA, an urbanized embayment with a history of extensive wetland loss. We found that all three estimates indicate a net import to the system, ranging from 36 x 106 – 74 x 106 kg/y, with a mean estimate of 55,000 t/y +/- 31,000 t/y, which compares well with a prior estimate derived from radionuclide tracers. Net sediment import is controlled by flood-ebb asymmetry in bed shear stress, which results in higher suspended sediment concentrations on flood tide relative to ebb. This indicates a seaward source of sediment, likely offshore marine deposits and potentially sediment from the adjacent Hudson River-Estuary that is resuspended by waves in the coastal ocean. Despite the net sediment import, a simple sediment budget suggests that the rate of supply is not sufficient to maintain the present geomorphic planform of the system relative to sea-level rise. The convergent estimates from independent methods provide reasonable guidance as context for sediment-based restoration efforts.","language":"English","publisher":"Springer","doi":"10.1007/s12237-020-00784-3","usgsCitation":"Chant, R., Ralston, D.K., Ganju, N., Pianca, C., Simonson, A., and Cartwright, R., 2021, Sediment budget estimates for a highly impacted embayment with extensive wetland loss: Estuaries and Coasts, v. 44, p. 608-626, https://doi.org/10.1007/s12237-020-00784-3.","productDescription":"19 p.","startPage":"608","endPage":"626","ipdsId":"IP-104431","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":377319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Grassey Bay, Jamaica Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.14947509765625,\n 40.50126945841645\n ],\n [\n -73.7457275390625,\n 40.50126945841645\n ],\n [\n -73.7457275390625,\n 40.74101426921151\n ],\n [\n -74.14947509765625,\n 40.74101426921151\n ],\n [\n -74.14947509765625,\n 40.50126945841645\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2020-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Chant, Robert","contributorId":237975,"corporation":false,"usgs":false,"family":"Chant","given":"Robert","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":795713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralston, David K. 0000-0002-0774-3101","orcid":"https://orcid.org/0000-0002-0774-3101","contributorId":195909,"corporation":false,"usgs":false,"family":"Ralston","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":795714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":795715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pianca, Casia","contributorId":237976,"corporation":false,"usgs":false,"family":"Pianca","given":"Casia","email":"","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":795716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simonson, Amy","contributorId":237977,"corporation":false,"usgs":false,"family":"Simonson","given":"Amy","affiliations":[{"id":47668,"text":"NYWSC","active":true,"usgs":false}],"preferred":false,"id":795717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cartwright, Richard","contributorId":237978,"corporation":false,"usgs":false,"family":"Cartwright","given":"Richard","affiliations":[{"id":47668,"text":"NYWSC","active":true,"usgs":false}],"preferred":false,"id":795718,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70211520,"text":"70211520 - 2021 - Estimating age and growth of invasive sea lamprey: A review of approaches and investigation of a new method","interactions":[],"lastModifiedDate":"2022-01-05T17:47:39.475706","indexId":"70211520","displayToPublicDate":"2020-06-27T10:51:13","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":"Estimating age and growth of invasive sea lamprey: A review of approaches and investigation of a new method","docAbstract":"We review recent advances in age and growth estimation of invasive sea lamprey (Petromyzon marinus) in the Great Lakes and present a more accurate method for growth estimation. To forecast growth and prioritize streams for control actions, sea lamprey managers currently use an average daily growth model. Here, a new linear model that included stream and lake as contributing variables was investigated and found to outperform the currently used growth model (roughly a 10 mm difference at age 1). Length-at-age of larvae between ages 1 and 4 were also best forecasted by a linear model with the predictor variables including growing degree days, stream, lake, and larval lamprey density. The model predicts that larval sea lamprey grow faster in warm streams with low densities of lamprey larvae. More accurate growth models could allow sea lamprey control managers to improve decisions concerning how sea lamprey control effort is allocated among streams, and could help inform broader modeling efforts evaluating the population demographics of a lake-wide populations exposed to varying control and environmental scenarios. Priority areas for research include investigating if temperatures have increased in sea lamprey-producing streams in response to climate change, using close-kin mark-recapture to mark family groups at age 1 to age large larvae and transformers years later, and determining if sex determination is environmentally mediated by larval growth and density.
During the 2018 eruption of Kīlauea Volcano, Hawai'i, scientists relied heavily on a conceptual model of explosive eruptions triggered when lava‐lake levels drop below the water table. Numerical modeling of multiphase groundwater flow and heat transport revealed that, contrary to expectations, liquid water inflow to the drained magma conduit would likely be delayed by months to years, owing to the inability of liquid water to transit a zone of very hot rock. The summit of Kīlauea subsequently experienced an ∼2‐month period of consistent repeated collapses, and the crater now extends below the equilibrium position of the water table. Liquid water first emerged into the deepened crater in late July 2019. The timing of first appearance of liquid water (about 14 months postcollapse) and the rate of crater lake filling (currently ∼27 kg/s) were well‐predicted by the numerical modeling done in late spring 2018, which forecast liquid inflow after 3 to 24 months at rates of 10 to 100 kg/s. A second‐generation groundwater model, reflecting the current crater geometry, forecasts lake filling over the next several years. The successful 2018 to present forecasts with both models are based on unadjusted in situ permeability estimates (1 to 6 × 10−14 m2) and water‐table elevations (600 to 800 m) from a nearby research drillhole and geophysical surveys. Important unknowns that affect the reliability of longer‐term forecasts include the equilibrium water‐table geometry, the rate of evaporation from the hot and growing crater lake (currently ∼29,000 m2 at 70‐80 °C), and heterogenous permeability changes caused by the 2018 collapse.
Dissolved organic matter (DOM) helps regulate aquatic ecosystem structure and function. In small streams, DOM concentrations are controlled by transport of terrestrial materials to waterways, and are thus highly variable. As rivers become larger, the River Continuum Concept hypothesizes that internal primary production is an increasingly important DOM source, but direct evidence is limited. Recently, the Pulse-Shunt Concept postulated that terrestrial DOM concentrations in larger rivers increase with flow and temperature, which seemingly contradicts previously reported DOM chemostasis in large rivers. This study estimates daily gross primary production (GPP) in 13 streams and rivers across the Connecticut River watershed (watershed areas 0.4–25,019 km2) from 2015 through 2017. Chemostasis of DOM concentrations is maintained by a switch from autochthonous sources of DOM at low flows to terrestrial sources of DOM at high flows in a large temperate river and to a lesser degree in smaller tributaries. At low flow, autochthonous DOM linked to aquatic GPP is the dominant fraction of the DOM pool in large rivers. This autochthonous DOM maintains chemostasis in the main stem and to a lesser extent upstream. Thus, in larger rivers, low-flow autochthonous production stabilizes DOM concentrations during the summer, a critical time for riverine ecology. Consistent with the Pulse-Shunt Concept, terrigenous DOM is the dominant fraction of DOM during higher flow periods and about 70% of annual DOM fluxes to the coast are terrestrial. This pattern of DOM switching is potentially widespread in temperate watersheds with implications to both inland waters and coastal ecosystems.