{"pageNumber":"929","pageRowStart":"23200","pageSize":"25","recordCount":165549,"records":[{"id":70193650,"text":"70193650 - 2017 - Why social values cannot be changed for the sake of conservation","interactions":[],"lastModifiedDate":"2017-11-08T13:31:58","indexId":"70193650","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Why social values cannot be changed for the sake of conservation","docAbstract":"<p>The hope for creating widespread change in social values has endured among conservation professionals since early calls by Aldo Leopold for a “land ethic.” However, there has been little serious attention in conservation to the fields of investigation that address values, how they are formed, and how they change. We introduce a social–ecological systems conceptual approach in which values are seen not only as motivational goals people hold but also as ideas that are deeply embedded in society's material culture, collective behaviors, traditions, and institutions. Values define and bind groups, organizations, and societies; serve an adaptive role; and are typically stable across generations. When abrupt value changes occur, they are in response to substantial alterations in the social–ecological context. Such changes build on prior value structures and do not result in complete replacement. Given this understanding of values, we conclude that deliberate efforts to orchestrate value shifts for conservation are unlikely to be effective. Instead, there is an urgent need for research on values with a multilevel and dynamic view that can inform innovative conservation strategies for working within existing value structures. New directions facilitated by a systems approach will enhance understanding of the role values play in shaping conservation challenges and improve management of the human component of conservation.</p>","language":"English","publisher":"Wiley","doi":"10.1111/cobi.12855","usgsCitation":"Manfredo, M.J., Bruskotter, J.T., Teel, T.L., Fulton, D.C., Schwartz, S.H., Arlinghaus, R., Oishi, S., Uskul, A.K., Redford, K., Kitayama, S., and Sullivan, L., 2017, Why social values cannot be changed for the sake of conservation: Conservation Biology, v. 31, no. 4, p. 772-780, https://doi.org/10.1111/cobi.12855.","productDescription":"9 p.","startPage":"772","endPage":"780","ipdsId":"IP-075737","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469636,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.12855","text":"Publisher Index Page"},{"id":348459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-13","publicationStatus":"PW","scienceBaseUri":"5a0425b5e4b0dc0b45b45334","contributors":{"authors":[{"text":"Manfredo, Michael J.","contributorId":127326,"corporation":false,"usgs":false,"family":"Manfredo","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":721158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruskotter, Jeremy T.","contributorId":171472,"corporation":false,"usgs":false,"family":"Bruskotter","given":"Jeremy","email":"","middleInitial":"T.","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":721159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teel, Tara L.","contributorId":80169,"corporation":false,"usgs":false,"family":"Teel","given":"Tara","email":"","middleInitial":"L.","affiliations":[{"id":35701,"text":"CO State University, Fort Collins","active":true,"usgs":false}],"preferred":false,"id":721160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721185,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Shalom H.","contributorId":200104,"corporation":false,"usgs":false,"family":"Schwartz","given":"Shalom","email":"","middleInitial":"H.","affiliations":[{"id":35700,"text":"The Hebrew University of Jerusalem, Mount Scopus, Jerusalem, Israel","active":true,"usgs":false}],"preferred":false,"id":721186,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arlinghaus, Robert","contributorId":32425,"corporation":false,"usgs":false,"family":"Arlinghaus","given":"Robert","email":"","affiliations":[{"id":17980,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":721187,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oishi, Shigehiro","contributorId":6404,"corporation":false,"usgs":false,"family":"Oishi","given":"Shigehiro","email":"","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":721217,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Uskul, Ayse K.","contributorId":20279,"corporation":false,"usgs":false,"family":"Uskul","given":"Ayse","email":"","middleInitial":"K.","affiliations":[{"id":35702,"text":"Keynes College, University of Kent, Canterbury, Kent, U.K.","active":true,"usgs":false}],"preferred":false,"id":721218,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Redford, Kent","contributorId":93428,"corporation":false,"usgs":false,"family":"Redford","given":"Kent","email":"","affiliations":[{"id":35703,"text":"Archipelago Consulting, Portland, ME, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":721219,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kitayama, Shinobu","contributorId":187424,"corporation":false,"usgs":false,"family":"Kitayama","given":"Shinobu","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721220,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sullivan, Leeann","contributorId":51865,"corporation":false,"usgs":false,"family":"Sullivan","given":"Leeann","email":"","affiliations":[{"id":35701,"text":"CO State University, Fort Collins","active":true,"usgs":false}],"preferred":false,"id":721253,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70192890,"text":"70192890 - 2017 - Variation and plasticity and their interaction with urbanization in Guadalupe Bass populations on and off the Edwards Plateau","interactions":[],"lastModifiedDate":"2018-01-26T11:56:26","indexId":"70192890","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"title":"Variation and plasticity and their interaction with urbanization in Guadalupe Bass populations on and off the Edwards Plateau","docAbstract":"<p>The Colorado River Basin in Texas has experienced major alterations to its hydrologic regime due to changing land and water use patterns. These anthropogenic influences on hydrologic variability have had major implications for riparian and aquatic ecosystems and the species dependent upon them. However, impacts are often assessed at a limited temporal and spatial scale, tending to focus on relatively short and discrete periods or portions of a river basin. It is not clear how basin-wide alterations occurring over decades affect species. Guadalupe Bass Micropterus treculii are endemic to central Texas and are typically associated with shallow runs and riffles in small streams. However, Guadalupe Bass are found throughout the Colorado River Basin, including the mainstem portion of the lower river downstream of the city of Austin where they support a popular fishery. Because Guadalupe Bass exist across a wide range of stream orders within the basin, it is unclear whether populations respond similarly to anthropogenic disturbances or to conservation and restoration activities. Therefore, our objectives were to:</p><ol><li>Assess the effects of urbanization and hydrology on the population structure and dynamics of Guadalupe Bass.<br></li><li>Evaluate the effects of environmental gradients on ecomorphological variation in Guadalupe Bass populations across multiple spatial scales.<br></li><li>Describe the life history, habitat use, and behavior of the Guadalupe Bass population in the lower Colorado River and compare it to populations in more “typical” habitats.<br></li></ol><p>Results contribute to an understanding of the response of Guadalupe Bass to anthropogenic disturbances, including increased urbanization in central Texas and further assist in the conservation of the species. The ability of the population to not only persist, but flourish downstream of a heavily populated urban area presented a unique opportunity to investigate a native species response to anthropogenic disturbance. This research revealed differences in Guadalupe Bass habitat associations and movements, contrasts in age and growth, and morphological variation across a gradient of disturbance throughout the Colorado River Basin. Results of this work provide information on the potential effects of human population growth and increased water withdrawals on Guadalupe Bass populations. Additionally, this work adds to an understanding of the unique Guadalupe Bass population found in the lower Colorado River and how it differs from upstream tributary populations. Gathering additional population-level information facilitates conservation actions critical to preserving preferred habitat and promoting growth rates for Guadalupe Bass in streams of different sizes and flow conditions while highlighting interpopulation differences that may warrant consideration for stocking programs and other management strategies. Key findings of this study were:</p><ul><li>The similarity in response of growth rates to streamflow throughout the Colorado Basin suggests phenotypic plasticity in this trait rather than population-specific adaptations.<br></li><li>Reductions in streamflows in the Colorado River Basin, whether due to increased frequency of drought or increased anthropogenic water withdrawal, will likely result in lower Guadalupe Bass growth rates with the potential to impact the structure of populations.<br></li><li>Growth and recruitment showed a positive correlation with increased baseflows and mean monthly flows; however, continued assessment is necessary to determine a true relationship.<br></li><li>We documented morphological divergence among Guadalupe Bass populations in response to spatial and temporal environmental variation. These ecomorphological differences among populations provide insight into the ability of Guadalupe Bass to respond to the differing in-stream habitat and flow conditions between small ‘typical’ tributary systems and the mainstem Colorado River.<br></li><li>Morphological variation may be a population-level adaptation that potentially needs to be taken into consideration when choosing broodstock to maximize stocking success within a system. Understanding the morphological differences between Guadalupe Bass populations in response to local conditions could improve the success of restoration and supplemental stocking programs, especially in the ever-changing landscape of central Texas.<br></li><li>We established a baseline for understanding the morphological response of Guadalupe Bass to increased population growth and the threats posed by increased water withdrawals and impervious surface.<br></li><li>The mainstem population of Guadalupe Bass was generally more mobile, and more responsive to changes in streamflow, than tributary populations. The observed differences could influence the response of Guadalupe Bass populations to conservation and management actions, such as habitat restoration efforts.<br></li><li>Continued monitoring of recruitment and angler exploitation may be beneficial to identify any changes that could negatively impact the population. Conservation initiatives solely focused on physical instream or riparian habitat are unlikely to be as beneficial to Guadalupe Bass as those focused on restoring or maintaining adequate streamflow<br></li></ul>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Pease, J.E., Grabowski, T.B., and Pease, A.A., 2017, Variation and plasticity and their interaction with urbanization in Guadalupe Bass populations on and off the Edwards Plateau: Cooperator Science Series, ii, 111 p.","productDescription":"ii, 111 p.","ipdsId":"IP-085567","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347615,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/singleitem/collection/document/id/2195/rec/13"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c93e4b06e28e9cabaf8","contributors":{"authors":[{"text":"Pease, Jessica E.","contributorId":201491,"corporation":false,"usgs":false,"family":"Pease","given":"Jessica","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":725903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pease, Allison A.","contributorId":201493,"corporation":false,"usgs":false,"family":"Pease","given":"Allison","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193543,"text":"70193543 - 2017 - Relative sampling efficiency and movements of subadult Lake Sturgeon in the Lower Wolf River, Wisconsin","interactions":[],"lastModifiedDate":"2017-11-14T13:16:53","indexId":"70193543","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Relative sampling efficiency and movements of subadult Lake Sturgeon in the Lower Wolf River, Wisconsin","docAbstract":"<p><span>Understanding sampling efficiency and movements of subadult Lake Sturgeon&nbsp;</span><i>Acipenser fulvescens</i><span><span>&nbsp;</span>is necessary to facilitate population rehabilitation and recruitment monitoring in large systems with extensive riverine and lacustrine habitats. We used a variety of sampling methods to capture subadult Lake Sturgeon (i.e., fish between 75 and 130 cm TL that had not reached sexual maturity) and monitored their movements using radio telemetry in the lower Wolf River, a tributary to the Lake Winnebago system in Wisconsin. Our objectives were to determine whether (1) capture efficiency (expressed in terms of sampling time) of subadult Lake Sturgeon using multiple sampling methods was sufficient to justify within-river sampling as part of a basin-wide recruitment survey targeting subadults, (2) linear home ranges varied in relation to season or sex, and (3) subadult Lake Sturgeon remained in the lower Wolf River. From 2013 to 2014, 628 h of combined sampling effort that included gill nets, trotlines, electrofishing, and scuba capture was required to collect 18 subadult sturgeon, which were then implanted with radio transmitters and tracked by boat and plane. Linear home ranges did not differ in relation to sex but did vary among seasons, and the majority of movement occurred in spring. Seven of the 18 (39%) Lake Sturgeon left the river and were not detected in the river again during the study. Between 56% and 70% of subadult fish remaining in the river made definitive movements to, or near, known spawning locations when adult Lake Sturgeon were actively spawning. Our results suggest only a small proportion of subadult Lake Sturgeon in the Lake Winnebago population use the lower Wolf River, indicating that riverine sampling may not always be warranted when targeting subadults in large lake–river complexes. More information is needed on distribution of subadult Lake Sturgeon to develop sampling protocols for this population segment.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1334703","usgsCitation":"Snobl, Z.R., Isermann, D.A., Koenigs, R.P., and Raabe, J.K., 2017, Relative sampling efficiency and movements of subadult Lake Sturgeon in the Lower Wolf River, Wisconsin: Transactions of the American Fisheries Society, v. 146, no. 5, p. 1070-1080, https://doi.org/10.1080/00028487.2017.1334703.","productDescription":"11 p.","startPage":"1070","endPage":"1080","ipdsId":"IP-082127","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lower Wolf River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.35729980468749,\n              43.75125720420175\n            ],\n            [\n              -88.3026123046875,\n              43.75125720420175\n            ],\n            [\n              -88.3026123046875,\n              44.797428998555645\n            ],\n            [\n              -89.35729980468749,\n              44.797428998555645\n            ],\n            [\n              -89.35729980468749,\n              43.75125720420175\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"146","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-07","publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230c2","contributors":{"authors":[{"text":"Snobl, Zachary R.","contributorId":199506,"corporation":false,"usgs":false,"family":"Snobl","given":"Zachary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":719313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koenigs, Ryan P.","contributorId":191473,"corporation":false,"usgs":false,"family":"Koenigs","given":"Ryan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":719314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raabe, Joshua K.","contributorId":140952,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":719315,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192826,"text":"70192826 - 2017 - Study of responses of 64-story Rincon Building to Napa, Fremont, Piedmont, San Ramon earthquakes and ambient motions","interactions":[],"lastModifiedDate":"2017-10-31T10:54:21","indexId":"70192826","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Study of responses of 64-story Rincon Building to Napa, Fremont, Piedmont, San Ramon earthquakes and ambient motions","docAbstract":"<p><span>We analyze the recorded responses of a 64-story, instrumented, concrete core shear wall building in San Francisco, California, equipped with tuned sloshing liquid dampers (TSDs) and buckling restraining braces (BRBs). Previously, only ambient data from the 72-channel array in the building were studied (</span><a class=\"ref NLM_xref-bibr\">Çelebi et al. 2013</a><span>). Recently, the 24 August 2014 M</span><sub>w</sub><span><span>&nbsp;</span>6.0 Napa and three other earthquakes were recorded. The peak accelerations of ambient and the larger Napa earthquake responses at the basement are 0.12 cm/s/s and 5.2 cm/s/s respectively—a factor of ~42. At the 61st level, they are 0.30 cm/s/s (ambient) and 16.8 cm/s/s (Napa), respectively—a factor of ~56. Fundamental frequencies (NS ~ 0.3, EW ~ 0.27 Hz) from earthquake responses vary within an insignificant frequency band of ~0.02–0.03 Hz when compared to those from ambient data. In the absence of soil-structure interaction (SSI), these small and insignificant differences may be attributed to (1) identification errors, (2) any nonlinear behavior, and (3) shaking levels that are not large enough to activate the BRBs and TSDs to make significant shifts in frequencies and increase damping.</span></p>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/031616EQS041M","usgsCitation":"Çelebi, M., Hooper, J., and Klemencic, R., 2017, Study of responses of 64-story Rincon Building to Napa, Fremont, Piedmont, San Ramon earthquakes and ambient motions: Earthquake Spectra, v. 33, no. 3, p. 1125-1148, https://doi.org/10.1193/031616EQS041M.","productDescription":"24 p.","startPage":"1125","endPage":"1148","ipdsId":"IP-071292","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Fremont, Napa, Piedmont, San Ramon","volume":"33","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-01","publicationStatus":"PW","scienceBaseUri":"59f98bb6e4b0531197af9fe7","contributors":{"authors":[{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":717085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooper, John","contributorId":146972,"corporation":false,"usgs":false,"family":"Hooper","given":"John","affiliations":[],"preferred":false,"id":717086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klemencic, Ron","contributorId":146973,"corporation":false,"usgs":false,"family":"Klemencic","given":"Ron","email":"","affiliations":[],"preferred":false,"id":717087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193561,"text":"70193561 - 2017 - Geographic variation in winter adaptations of snowshoe hares (Lepus americanus)","interactions":[],"lastModifiedDate":"2017-11-13T16:29:02","indexId":"70193561","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Geographic variation in winter adaptations of snowshoe hares (<i>Lepus americanus</i>)","title":"Geographic variation in winter adaptations of snowshoe hares (Lepus americanus)","docAbstract":"<p><span>Understanding adaptations of nonhibernating northern endotherms to cope with extreme cold is important because climate-induced changes in winter temperatures and snow cover are predicted to impact these species the most. We compared winter pelage characteristics and heat production of snowshoe hares (</span><i>Lepus americanus</i><span><span>&nbsp;</span>Erxleben, 1777) on the southern edge of their range, in Pennsylvania (USA), to a northern population, in the Yukon (Canada), to investigate how hares might respond to changing environmental conditions. We also investigated how hares in Pennsylvania altered movement rates and resting spot selection to cope with variable winter temperatures. Hares from Pennsylvania had shorter, less dense, and less white winter coats than their northern counterparts, suggesting lower coat insulation. Hares in the southern population had lower pelage temperatures, indicating that they produced less heat than those in the northern population. In addition, hares in Pennsylvania did not select for resting spots that offered thermal advantages, but selected locations offering visual obstruction from predators. Movement rates were associated with ambient temperature, with the smallest movements occurring at the lower and upper range of observed ambient temperatures. Our results indicate that snowshoe hares may be able to adapt to future climate conditions via changes in pelage characteristics, metabolism, and behavior.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjz-2016-0165","usgsCitation":"Gigliotti, L., Diefenbach, D.R., and Sheriff, M., 2017, Geographic variation in winter adaptations of snowshoe hares (Lepus americanus): Canadian Journal of Zoology, v. 95, no. 8, p. 539-545, https://doi.org/10.1139/cjz-2016-0165.","productDescription":"7 p.","startPage":"539","endPage":"545","ipdsId":"IP-073614","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230bc","contributors":{"authors":[{"text":"Gigliotti, Laura C. 0000-0002-6390-4133","orcid":"https://orcid.org/0000-0002-6390-4133","contributorId":200327,"corporation":false,"usgs":false,"family":"Gigliotti","given":"Laura C.","affiliations":[],"preferred":false,"id":721937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheriff, M.J.","contributorId":92880,"corporation":false,"usgs":true,"family":"Sheriff","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":721938,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193554,"text":"70193554 - 2017 - Rapid response for invasive waterweeds at the arctic invasion front: Assessment of collateral impacts from herbicide treatments","interactions":[],"lastModifiedDate":"2017-11-14T12:54:05","indexId":"70193554","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Rapid response for invasive waterweeds at the arctic invasion front: Assessment of collateral impacts from herbicide treatments","docAbstract":"<p><span>The remoteness of subarctic and arctic ecosystems no longer protects against invasive species introductions. Rather, the mix of urban hubs surrounded by undeveloped expanses creates a ratchet process whereby anthropogenic activity is sufficient to introduce and spread invaders, but for which the costs of monitoring and managing remote ecosystems is prohibitive. <i>Elodea</i></span><span><span>&nbsp;</span>spp. is the first aquatic&nbsp;invasive plant to become established in Alaska and has potential for widespread deleterious ecological and economic impacts. A rapid eradication response with herbicides has been identified as a priority invasion control strategy. We condu<span>cted a multi-lake monitoring effort to assess collateral impacts from herbicide treatment for<span>&nbsp;</span></span></span><i>Elodea</i><span><span>&nbsp;</span>in high latitude systems. Variability in data was driven by seasonal dynamics and natural lake-to-lake differences typical of high latitude waterbodies, indicating lack of evidence for systematic impacts to water quality or plankton communities associated with herbicide treatment of<span>&nbsp;</span></span><i>Elodea</i><span><span>. Impacts on native<span> macrophytes</span><span>&nbsp;</span>were benign with the exception of some evidence for earlier onset of leaf senescence for lily pads(</span></span><i>Nuphar</i><span><span>&nbsp;</span>spp.) in treated lakes. We observed a substantial increase in detected native flora richness after<span>&nbsp;</span></span><i>Elodea</i><span><span>&nbsp;</span>was eradicated from the most heavily infested lake, indicating potential for retention of native macrophyte communities if infestations are addressed quickly. While avoiding introductions through prevention may be the most desirable outcome, these applications indicated low risks of non-target impacts associated with herbicide treatment as a rapid response option for<span>&nbsp;</span></span><i>Elodea</i><span><span>&nbsp;</span>in high latitude systems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2017.06.015","usgsCitation":"Sethi, S., Carey, M.P., Morton, J.M., Guerron-Orejuela, E., Decino, R., Willette, M., Boersma, J., Jablonski, J., and Anderson, C., 2017, Rapid response for invasive waterweeds at the arctic invasion front: Assessment of collateral impacts from herbicide treatments: Biological Conservation, v. 212, no. A, p. 300-309, https://doi.org/10.1016/j.biocon.2017.06.015.","productDescription":"10 p.","startPage":"300","endPage":"309","ipdsId":"IP-084920","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -151.42318725585938,\n              60.62067103680683\n            ],\n            [\n              -151.08123779296875,\n              60.62067103680683\n            ],\n            [\n              -151.08123779296875,\n              60.792683349421544\n            ],\n            [\n              -151.42318725585938,\n              60.792683349421544\n            ],\n            [\n              -151.42318725585938,\n              60.62067103680683\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"212","issue":"A","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230bf","contributors":{"authors":[{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"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":719350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, John M.","contributorId":17097,"corporation":false,"usgs":true,"family":"Morton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":722022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guerron-Orejuela, Edgar","contributorId":200348,"corporation":false,"usgs":false,"family":"Guerron-Orejuela","given":"Edgar","email":"","affiliations":[],"preferred":false,"id":722023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Decino, Robert","contributorId":200349,"corporation":false,"usgs":false,"family":"Decino","given":"Robert","email":"","affiliations":[],"preferred":false,"id":722024,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Willette, Mark","contributorId":200350,"corporation":false,"usgs":false,"family":"Willette","given":"Mark","email":"","affiliations":[],"preferred":false,"id":722025,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boersma, James","contributorId":200351,"corporation":false,"usgs":false,"family":"Boersma","given":"James","email":"","affiliations":[],"preferred":false,"id":722026,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jablonski, Jillian","contributorId":200352,"corporation":false,"usgs":false,"family":"Jablonski","given":"Jillian","email":"","affiliations":[],"preferred":false,"id":722027,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anderson, Cheryl","contributorId":200353,"corporation":false,"usgs":false,"family":"Anderson","given":"Cheryl","email":"","affiliations":[],"preferred":false,"id":722028,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70193664,"text":"70193664 - 2017 - Can personality predict individual differences in brook trout spatial learning ability?","interactions":[],"lastModifiedDate":"2017-11-13T14:26:17","indexId":"70193664","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":987,"text":"Behavioural Processes","active":true,"publicationSubtype":{"id":10}},"title":"Can personality predict individual differences in brook trout spatial learning ability?","docAbstract":"<p><span>While differences in individual personality are common in animal populations, understanding the ecological significance of variation has not yet been resolved. Evidence suggests that personality may influence learning and memory; a finding that could improve our understanding of the evolutionary processes that produce and maintain intraspecific behavioural heterogeneity. Here, we tested whether boldness, the most studied personality trait in fish, could predict learning ability in brook trout. After quantifying boldness, fish were trained to find a hidden food patch in a maze environment. Stable landmark cues were provided to indicate the location of food and, at the conclusion of training, cues were rearranged to test for learning. There was a negative relationship between boldness and learning as shy fish were increasingly more successful at navigating the maze and locating food during training trials compared to bold fish. In the altered testing environment, only shy fish continued using cues to search for food. Overall, the learning rate of bold fish was found to be lower than that of shy fish for several metrics suggesting that personality could have widespread effects on behaviour. Because learning can increase plasticity to environmental change, these results have significant implications for fish conservation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.beproc.2016.08.009","usgsCitation":"White, S., Wagner, T., Gowan, C., and Braithwaite, V., 2017, Can personality predict individual differences in brook trout spatial learning ability?: Behavioural Processes, v. 141, no. 2, p. 220-228, https://doi.org/10.1016/j.beproc.2016.08.009.","productDescription":"9 p.","startPage":"220","endPage":"228","ipdsId":"IP-066365","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469633,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.beproc.2016.08.009","text":"Publisher Index Page"},{"id":348716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230b9","contributors":{"authors":[{"text":"White, S.L.","contributorId":199722,"corporation":false,"usgs":false,"family":"White","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":719834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gowan, C.","contributorId":199723,"corporation":false,"usgs":false,"family":"Gowan","given":"C.","email":"","affiliations":[],"preferred":false,"id":719835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braithwaite, V.A.","contributorId":172165,"corporation":false,"usgs":false,"family":"Braithwaite","given":"V.A.","email":"","affiliations":[],"preferred":false,"id":719836,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193458,"text":"70193458 - 2017 - Landscape capability predicts upland game bird abundance and occurrence","interactions":[],"lastModifiedDate":"2017-11-10T18:36:35","indexId":"70193458","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Landscape capability predicts upland game bird abundance and occurrence","docAbstract":"<p><span>Landscape capability (LC) models are a spatial tool with potential applications in conservation planning. We used survey data to validate LC models as predictors of occurrence and abundance at broad and fine scales for American woodcock (</span><i>Scolopax minor</i><span>) and ruffed grouse (</span><i>Bonasa umbellus</i><span>). Landscape capability models were reliable predictors of occurrence but were less indicative of relative abundance at route (11.5–14.6 km) and point scales (0.5–1 km). As predictors of occurrence, LC models had high sensitivity (0.71–0.93) and were accurate (0.71–0.88) and precise (0.88 and 0.92 for woodcock and grouse, respectively). Models did not predict point-scale abundance independent of the ability to predict occurrence of either species. The LC models are useful predictors of patterns of occurrences in the northeastern United States, but they have limited utility as predictors of fine-scale or route-specific abundances.<span>&nbsp;</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21265","usgsCitation":"Loman, Z., Blomberg, E.J., DeLuca, W., Harrison, D.J., Loftin, C., and Wood, P.B., 2017, Landscape capability predicts upland game bird abundance and occurrence: Journal of Wildlife Management, v. 81, no. 6, p. 1110-1116, https://doi.org/10.1002/jwmg.21265.","productDescription":"7 p.","startPage":"1110","endPage":"1116","ipdsId":"IP-076384","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-27","publicationStatus":"PW","scienceBaseUri":"5a06c8cae4b09af898c86104","contributors":{"authors":[{"text":"Loman, Zachary G.","contributorId":145932,"corporation":false,"usgs":false,"family":"Loman","given":"Zachary G.","affiliations":[],"preferred":false,"id":721640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blomberg, Erik J.","contributorId":17543,"corporation":false,"usgs":false,"family":"Blomberg","given":"Erik","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":721641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLuca, William","contributorId":192836,"corporation":false,"usgs":false,"family":"DeLuca","given":"William","affiliations":[],"preferred":false,"id":721642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison, Daniel J.","contributorId":200256,"corporation":false,"usgs":false,"family":"Harrison","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721644,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193539,"text":"70193539 - 2017 - Retrospective analysis of seasonal ocean growth rates of two sea winter Atlantic Salmon in eastern Maine using historic scales","interactions":[],"lastModifiedDate":"2017-11-14T13:24:12","indexId":"70193539","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective analysis of seasonal ocean growth rates of two sea winter Atlantic Salmon in eastern Maine using historic scales","docAbstract":"<p><span>Substantial declines of anadromous Atlantic Salmon&nbsp;</span><i>Salmo salar</i><span><span>&nbsp;</span>have occurred throughout its range, with many populations at the southern extent of the distribution currently extirpated or endangered. While both one sea winter (1SW) and two sea winter (2SW) spawner numbers for the North American stocks have declined since the 1950s, the decline has been most severe in 2SW spawners. The first months at sea are considered a period of high mortality. However, early ocean mortality alone cannot explain the more pronounced decline of 2SW spawners, suggesting that the second year at sea may be more critical than previously thought. Atlantic Salmon scales collected by anglers and the state agency from 1946 to 2013 from five rivers in eastern Maine were used to estimate smolt age and ocean age of returning adults. Additionally, seasonal growth rates of maiden 2SW spawners were estimated using intercirculi measurements and linear back-calculation methods. Generalized linear mixed models (Gaussian family, log link function) were used to investigate the influence of average sea surface temperature, accumulated thermal units, the Atlantic Multidecadal Oscillation (AMO) and North Atlantic Oscillation indices, smolt age, smolt length, postsmolt growth, and river of origin on growth rate during the oceanic migration of North American Atlantic Salmon. Results suggest that different factors influence salmon growth throughout their oceanic migration, and previous growth can be a strong predictor of future size. Growth was negatively impacted by the phase of the AMO, which has been linked to salmon abundance trends, in early spring following the postsmolt period. This is likely when the 1SW and 2SW stock components separate, and our results suggest that this period may be of interest in future work examining the disproportionate decline in 2SW spawners.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19425120.2017.1334723","usgsCitation":"Izzo, L.K., and Zydlewski, J.D., 2017, Retrospective analysis of seasonal ocean growth rates of two sea winter Atlantic Salmon in eastern Maine using historic scales: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 9, no. 1, p. 357-372, https://doi.org/10.1080/19425120.2017.1334723.","productDescription":"16 p.","startPage":"357","endPage":"372","ipdsId":"IP-077169","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2017.1334723","text":"Publisher Index Page"},{"id":348831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70,\n              43.45291889355465\n            ],\n            [\n              -40,\n              43.45291889355465\n            ],\n            [\n              -40,\n              70\n            ],\n            [\n              -70,\n              70\n            ],\n            [\n              -70,\n              43.45291889355465\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-24","publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230c6","contributors":{"authors":[{"text":"Izzo, Lisa K.","contributorId":189241,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":719308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196468,"text":"70196468 - 2017 - Integrating geographically isolated wetlands into land management decisions","interactions":[],"lastModifiedDate":"2018-05-07T10:55:59","indexId":"70196468","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Integrating geographically isolated wetlands into land management decisions","docAbstract":"<p><span>Wetlands across the globe provide extensive ecosystem services. However, many wetlands – especially those surrounded by uplands, often referred to as geographically isolated wetlands (GIWs) – remain poorly protected. Protection and restoration of wetlands frequently requires information on their hydrologic connectivity to other surface waters, and their cumulative watershed‐scale effects. The integration of measurements and models can supply this information. However, the types of measurements and models that should be integrated are dependent on management questions and information compatibility. We summarize the importance of GIWs in watersheds and discuss what wetland connectivity means in both science and management contexts. We then describe the latest tools available to quantify GIW connectivity and explore crucial next steps to enhancing and integrating such tools. These advancements will ensure that appropriate tools are used in GIW decision making and maintaining the important ecosystem services that these wetlands support.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1504","usgsCitation":"Golden, H.E., Creed, I., Ali, G., Basu, N., Neff, B., Rains, M.C., McLaughlin, D.L., Alexander, L.C., Ameli, A.A., Christensen, J.R., Evenson, G.R., Jones, C.N., Lane, C., and Lang, M., 2017, Integrating geographically isolated wetlands into land management decisions: Frontiers in Ecology and the Environment, v. 15, no. 6, p. 319-327, https://doi.org/10.1002/fee.1504.","productDescription":"9 p.","startPage":"319","endPage":"327","ipdsId":"IP-088147","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469643,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6261316","text":"External Repository"},{"id":353288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"5afee823e4b0da30c1bfc3f5","contributors":{"authors":[{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":733024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creed, Irena F.","contributorId":81209,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":27655,"text":"Department of Biology, University of Western Ontario, London, ON Canada","active":true,"usgs":false}],"preferred":false,"id":733025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ali, Genevieve","contributorId":204052,"corporation":false,"usgs":false,"family":"Ali","given":"Genevieve","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":733026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Basu, Nandita","contributorId":156369,"corporation":false,"usgs":false,"family":"Basu","given":"Nandita","affiliations":[{"id":20330,"text":"Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON N2L 3G1","active":true,"usgs":false}],"preferred":false,"id":733027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neff, Brian 0000-0003-3718-7350 bneff@usgs.gov","orcid":"https://orcid.org/0000-0003-3718-7350","contributorId":198885,"corporation":false,"usgs":true,"family":"Neff","given":"Brian","email":"bneff@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rains, Mark C.","contributorId":138983,"corporation":false,"usgs":false,"family":"Rains","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":733028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLaughlin, Daniel L.","contributorId":156435,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":733029,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":733030,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ameli, Ali A.","contributorId":204057,"corporation":false,"usgs":false,"family":"Ameli","given":"Ali","email":"","middleInitial":"A.","affiliations":[{"id":33186,"text":"Western University","active":true,"usgs":false}],"preferred":false,"id":733031,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733032,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Evenson, Grey R.","contributorId":202422,"corporation":false,"usgs":false,"family":"Evenson","given":"Grey","email":"","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":733033,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones, Charles N.","contributorId":204060,"corporation":false,"usgs":false,"family":"Jones","given":"Charles","email":"","middleInitial":"N.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":733034,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":733035,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lang, Megan","contributorId":156431,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":733036,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70193573,"text":"70193573 - 2017 - How hunter perceptions of wildlife regulations, agency trust, and satisfaction affect attitudes about duck bag limits","interactions":[],"lastModifiedDate":"2025-01-17T16:18:27.386458","indexId":"70193573","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"How hunter perceptions of wildlife regulations, agency trust, and satisfaction affect attitudes about duck bag limits","docAbstract":"<p><span>This study explored how factors, including the function of bag limits, agency trust, satisfaction, hunting participation, and demographics, related to opinions about duck bag limits. The results are from a survey of 2014 Minnesota resident waterfowl hunters. Analyses identified four dimensions of attitudes about functions of bag limits, including that they: (a) are descriptive in defining the acceptable number of ducks that can be bagged, (b) are injunctive in establishing how many ducks should be allowed to be bagged, (c) ensure fair opportunities for all hunters to bag ducks, and (d) reflect biological limitations to protect waterfowl populations. Descriptive and fairness functions of bag limits were related to opinions about bag limits, as were factors related to agency trust, satisfaction, ducks bagged, experience with more restrictive bag limits, hunter age, and hunting group membership. Agencies may increase support by building trust and emphasizing the descriptive and fairness functions of regulations.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2017.1345021","usgsCitation":"Schroeder, S., Fulton, D.C., Lawrence, J.S., and Cordts, S.D., 2017, How hunter perceptions of wildlife regulations, agency trust, and satisfaction affect attitudes about duck bag limits: Human Dimensions of Wildlife, v. 22, no. 5, p. 454-475, https://doi.org/10.1080/10871209.2017.1345021.","productDescription":"22 p.","startPage":"454","endPage":"475","ipdsId":"IP-083734","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348256,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8a2e4b09af898c8cb92","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":719409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Jeffrey S.","contributorId":171470,"corporation":false,"usgs":false,"family":"Lawrence","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":719410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cordts, Steven D.","contributorId":171471,"corporation":false,"usgs":false,"family":"Cordts","given":"Steven","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":719411,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193822,"text":"70193822 - 2017 - Balancing lake ecological condition and agriculture irrigation needs in the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2017-11-08T15:40:50","indexId":"70193822","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Balancing lake ecological condition and agriculture irrigation needs in the Mississippi Alluvial Valley","docAbstract":"<p><span>The Mississippi Alluvial Valley includes hundreds of floodplain lakes that support unique fish assemblages and high biodiversity. Irrigation practices in the valley have lowered the&nbsp;<a title=\"Learn more about Water table\" href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/water-table\" data-mce-href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/water-table\">water table</a>, increasing the cost of pumping water, and necessitating the use of floodplain lakes as a source of water for irrigation. This development has prompted the need to regulate water withdrawals to protect aquatic resources, but it is unknown how much water can be withdrawn from lakes before ecological integrity is compromised. To estimate withdrawal limits, we examined descriptors of lake water quality (i.e., total nitrogen, total phosphorus, turbidity, Secchi visibility, chlorophyll-</span><i>a</i><span>) and fish assemblages (species richness, diversity, composition) relative to maximum depth in 59 floodplain lakes. Change-point regression analysis was applied to identify<span>&nbsp;</span><a title=\"Learn more about Critical depth\" href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/critical-depth\" data-mce-href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/critical-depth\">critical depths</a><span>&nbsp;</span>at which the relationships between depth and lake descriptors exhibited a rapid shift in slope, suggesting possible thresholds. All our water quality and fish assemblage descriptors showed rapid changes relative to depth near 1.2–2.0</span><span>&nbsp;</span><span>m maximum depth. This threshold span may help inform regulatory decisions about water withdrawal limits. Alternatives to explain the triggers of the observed threshold span are considered.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2017.06.022","usgsCitation":"Miranda, L.E., Omer, A., and Killgore, K., 2017, Balancing lake ecological condition and agriculture irrigation needs in the Mississippi Alluvial Valley: Agriculture, Ecosystems and Environment, v. 246, p. 354-360, https://doi.org/10.1016/j.agee.2017.06.022.","productDescription":"7 p.","startPage":"354","endPage":"360","ipdsId":"IP-085518","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.4339599609375,\n              34.962497232449145\n            ],\n            [\n              -90.758056640625,\n              34.97600151317588\n            ],\n            [\n              -91.109619140625,\n              34.88593094075317\n            ],\n            [\n              -91.47216796875,\n              34.6241677899049\n            ],\n            [\n              -91.77429199218749,\n              34.32529192442733\n            ],\n            [\n              -91.878662109375,\n              34.00258128543371\n            ],\n            [\n              -92.0379638671875,\n              33.5963189611327\n            ],\n            [\n              -92.07092285156249,\n              33.38099943104024\n            ],\n            [\n              -92.0050048828125,\n              33.04090311724091\n            ],\n            [\n              -91.0986328125,\n              33.03629817885956\n            ],\n            [\n              -90.9832763671875,\n              32.48196313217176\n            ],\n            [\n              -90.5438232421875,\n              32.67174887226337\n            ],\n            [\n              -90.4339599609375,\n              33.123750829710225\n            ],\n            [\n              -90.296630859375,\n              33.62376800118811\n            ],\n            [\n              -90.1153564453125,\n              34.19817309627726\n            ],\n            [\n              -90.04394531249999,\n              34.59704151614417\n            ],\n            [\n              -90,\n              34.84085858477277\n            ],\n            [\n              -90.164794921875,\n              34.92197103616377\n            ],\n            [\n              -90.4339599609375,\n              34.962497232449145\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"246","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b4e4b0dc0b45b4532f","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Omer, A.R.","contributorId":200190,"corporation":false,"usgs":false,"family":"Omer","given":"A.R.","email":"","affiliations":[{"id":35483,"text":"Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":721372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Killgore, K.J.","contributorId":200191,"corporation":false,"usgs":false,"family":"Killgore","given":"K.J.","email":"","affiliations":[{"id":33009,"text":"Engineer Research and Development Center, U. S. Army Corps of Engineers, Vicksburg, Mississippi","active":true,"usgs":false}],"preferred":false,"id":721373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192993,"text":"70192993 - 2017 - Piscivore diet response to a collapse in pelagic prey populations","interactions":[],"lastModifiedDate":"2017-11-12T16:15:41","indexId":"70192993","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Piscivore diet response to a collapse in pelagic prey populations","docAbstract":"<p>Pelagic fish populations in the upper San Francisco Estuary have experienced significant declines since the turn of the century; a pattern known as the pelagic organism decline (POD). This study investigated food habits of piscivorous fishes over two consecutive fall seasons following the decline of pelagic fish prey. Specifically, this study addressed the contribution of pelagic versus benthic prey to piscivorous fish diets, including the frequency of predation on special-status pelagic species, and the spatial variability in prey consumption. The piscivore community was dominated by Striped Bass and also included small numbers of Sacramento Pikeminnow and Largemouth Bass. Overall, pelagic prey items contributed less than 10% of the diet by weight in both years, whereas pre-POD studies gleaned from the literature found contributions of 39–100%, suggesting a major switch from pelagic to benthic prey resources. Between-year variation in piscivore diets reflected differences in environmental conditions associated with variation in freshwater outflow. No special status fish species were detected in any of the piscivore stomachs examined. The consequences of this pelagic to benthic diet shift warrants further investigation to understand its ecological relevance.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10641-017-0618-x","usgsCitation":"Zeug, S., Feyrer, F.V., Brodsky, A., and Melgo, J., 2017, Piscivore diet response to a collapse in pelagic prey populations: Environmental Biology of Fishes, v. 100, no. 8, p. 947-958, https://doi.org/10.1007/s10641-017-0618-x.","productDescription":"12 p.","startPage":"947","endPage":"958","ipdsId":"IP-083460","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":348627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","volume":"100","issue":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-26","publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c94145","contributors":{"authors":[{"text":"Zeug, Steven","contributorId":198888,"corporation":false,"usgs":false,"family":"Zeug","given":"Steven","affiliations":[{"id":12475,"text":"Cramer Fish Sciences, Auburn, CA","active":true,"usgs":false}],"preferred":false,"id":717553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brodsky, Annie","contributorId":198889,"corporation":false,"usgs":false,"family":"Brodsky","given":"Annie","email":"","affiliations":[{"id":12475,"text":"Cramer Fish Sciences, Auburn, CA","active":true,"usgs":false}],"preferred":false,"id":717554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melgo, Jenny","contributorId":198890,"corporation":false,"usgs":false,"family":"Melgo","given":"Jenny","email":"","affiliations":[{"id":12475,"text":"Cramer Fish Sciences, Auburn, CA","active":true,"usgs":false},{"id":35726,"text":"California Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":717555,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193528,"text":"70193528 - 2017 - Winter habitat associations of eastern spotted skunks in Virginia","interactions":[],"lastModifiedDate":"2017-11-14T14:12:14","indexId":"70193528","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Winter habitat associations of eastern spotted skunks in Virginia","docAbstract":"<p><span>Eastern spotted skunk (</span><i>Spilogale putorius</i><span>) populations have declined throughout much of their range in the eastern United States over recent decades. Declines have been attributed to habitat loss or change, increased competition with sympatric mesocarnivore species, or disease. To better understand the extant distribution of spotted skunks in the Appalachian Mountains of western Virginia, USA, we used a detection-non-detection sampling approach using baited camera traps to evaluate the influence of landscape-level environmental covariates on spotted skunk detection probability and site occupancy. We conducted camera trap surveys at 91 sites from January to May in 2014 and 2015. Spotted skunk occupancy was associated with young-aged forest stands at lower elevations and more mature forest stands at higher elevations. Both land cover types in this region can be characterized as having complex forest structure, providing cover that varies with stand age, species composition, elevation, and management regime. Our results provide insight into factors that influence spotted skunk spatial distribution and habitat selection, information that can be used to generate conservation assessments and inform management decisions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21282","usgsCitation":"Thorne, E.D., Waggy, C., Jachowski, D.S., Kelly, M.J., and Ford, W., 2017, Winter habitat associations of eastern spotted skunks in Virginia: Journal of Wildlife Management, v. 81, no. 6, p. 1042-1050, https://doi.org/10.1002/jwmg.21282.","productDescription":"9 p.","startPage":"1042","endPage":"1050","ipdsId":"IP-081367","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Augusta County, Bath County, Botetourt County, Craig County, Giles County, Grayson County, Highland County, Rockbridge County, Rockingham County, Wythe 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,{"id":70193698,"text":"70193698 - 2017 - NEHRP turns 40","interactions":[],"lastModifiedDate":"2019-07-10T14:08:58","indexId":"70193698","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"NEHRP turns 40","docAbstract":"<p>This year, the National Earthquake Hazards Reduction Program (NEHRP) turns 40, four decades since the Earthquake Hazards Reduction Act of 1977 was enacted establishing the Program, spurring numerous federal, state, and community actions to reduce earthquake losses in the U.S.A. and its territories and setting a standard for earthquake loss‐reduction projects internationally. Four agencies are partners in NEHRP: the Federal Emergency Management Agency (FEMA), the National Institute of Standards and Technology (NIST, the lead agency), the National Science Foundation (NSF), and the U.S. Geological Survey (USGS).</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170088","usgsCitation":"Leith, W.S., 2017, NEHRP turns 40: Seismological Research Letters, v. 88, no. 4, p. 943-947, https://doi.org/10.1785/0220170088.","productDescription":"5 p.","startPage":"943","endPage":"947","ipdsId":"IP-085746","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":348203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-07","publicationStatus":"PW","scienceBaseUri":"5a00314ee4b0531197b5a73e","contributors":{"authors":[{"text":"Leith, William S. 0000-0002-3463-3119 wleith@usgs.gov","orcid":"https://orcid.org/0000-0002-3463-3119","contributorId":2248,"corporation":false,"usgs":true,"family":"Leith","given":"William","email":"wleith@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":719969,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193245,"text":"70193245 - 2017 - A multi-species synthesis of physiological mechanisms in drought-induced tree mortality","interactions":[],"lastModifiedDate":"2018-01-23T09:27:51","indexId":"70193245","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A multi-species synthesis of physiological mechanisms in drought-induced tree mortality","docAbstract":"<p><span>Widespread tree mortality associated with drought has been observed on all forested continents and global change is expected to exacerbate vegetation vulnerability. Forest mortality has implications for future biosphere–atmosphere interactions of carbon, water and energy balance, and is poorly represented in dynamic vegetation models. Reducing uncertainty requires improved mortality projections founded on robust physiological processes. However, the proposed mechanisms of drought-induced mortality, including hydraulic failure and carbon starvation, are unresolved. A growing number of empirical studies have investigated these mechanisms, but data have not been consistently analysed across species and biomes using a standardized physiological framework. Here, we show that xylem hydraulic failure was ubiquitous across multiple tree taxa at drought-induced mortality. All species assessed had 60% or higher loss of xylem hydraulic conductivity, consistent with proposed theoretical and modelled survival thresholds. We found diverse responses in non-structural carbohydrate reserves at mortality, indicating that evidence supporting carbon starvation was not universal. Reduced non-structural carbohydrates were more common for gymnosperms than angiosperms, associated with xylem hydraulic vulnerability, and may have a role in reducing hydraulic function. Our finding that hydraulic failure at drought-induced mortality was persistent across species indicates that substantial improvement in vegetation modelling can be achieved using thresholds in hydraulic function.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41559-017-0248-x","usgsCitation":"Adams, H., Zeppel, M., Anderegg, W.R., Hartmann, H., Landhausser, S.M., Tissue, D.T., Huxman, T.E., Hudson, P.J., Franz, T.E., Allen, C.D., Anderegg, L., Barron-Gafford, G.A., Beerling, D., Breshears, D.D., Brodribb, T.J., Bugmann, H., Cobb, R.C., Collins, A.D., Dickman, L.T., Duan, H., Ewers, B.E., Galiano, L., Galvez, D.A., Garcia-Forner, N., Gaylord, M.L., Germino, M.J., Gessler, A., Hacke, U.G., Hakamada, R., Hector, A., Jenkins, M., Kane, J.M., Kolb, T.E., Law, D., Lewis, J.D., Limousin, J., Love, D., Macalady, A.K., Martínez-Vilalta, J., Mencuccini, M., Mitchell, P.J., Muss, J.D., O’Brien, M.J., O’Grady, A.P., Pangle, R.E., Pinkard, E.A., Piper, F.I., Plaut, J., Pockman, W.T., Quirk, J., Reinhardt, K., Ripullone, F., Ryan, M., Sala, A., Sevanto, S., Sperry, J.S., Vargas, R., Vennetier, M., Way, D.A., Wu, C., Yepez, E.A., and McDowell, N.G., 2017, A multi-species synthesis of physiological mechanisms in drought-induced tree mortality: Nature Ecology & Evolution, v. 1, p. 1285-1291, https://doi.org/10.1038/s41559-017-0248-x.","productDescription":"7 p.","startPage":"1285","endPage":"1291","ipdsId":"IP-072990","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469637,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41559-017-0248-x","text":"External Repository"},{"id":348043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":12,"text":"Tacoma 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,{"id":70193861,"text":"70193861 - 2017 - Suitability of oyster restoration sites along the Louisiana coast: Examining site and stock × site interaction","interactions":[],"lastModifiedDate":"2017-11-06T14:37:28","indexId":"70193861","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Suitability of oyster restoration sites along the Louisiana coast: Examining site and stock × site interaction","docAbstract":"<p><span>Recognition of the global loss of subtidal oyster reefs has led to a rise in reef restoration efforts, including in the Gulf of Mexico. Created reef success depends entirely on selecting a location that supports long-term oyster growth and survival, including the recruitment and survival of on-reef oysters. Significant changes in estuarine salinity through management of freshwater inflows and through changed precipitation patterns may significantly impact the locations of optimal oyster restoration sites. These rapid shifts in conditions necessitate a need to better understand both impacts to on-reef oyster growth and population development, and variation in oyster stock performance. Oyster growth, mortality, condition, and disease prevalence were examined in three different stocks of oysters located in protected cages, as well as oyster recruitment and mortality on experimental reef units in three different locations representing a salinity gradient, along the Louisiana Gulf coast in 2011 and 2012. Over a 2-y period, the high-salinity site had highest oyster growth rate in protected cages but demonstrated the least likelihood for reef development based on on-reef oyster population failure, likely because of predation-related mortality (high recruitment and 100% mortality). In contrast, the midsalinity site with moderate oyster growth and on-reef recruitment and low mortality demonstrated a higher likelihood for reef development. The lowest salinity site exhibited extreme variability in all oyster responses between years because of extreme variation in environmental conditions during the study, indicating a low likelihood of long-term reef development. Whereas limited differences in stock performance between sites were found, the range of site environmental conditions tested was ultimately much lower than expected and may not have provided a wide enough range of conditions. In areas with limited, low recruitment, or rapidly changing environmental conditions, seeding with stocks selected for best growth and survival under expected future environmental conditions could better ensure reef development by using oyster populations best suited to the predicted conditions. With rapidly changing estuarine conditions from anthropogenic activities and climate change, siting of oyster reef restoration incorporating both oyster population dynamics and&nbsp;</span><i>in situ</i><span><span>&nbsp;</span>biotic and abiotic interactions is critical in better directing site selection for reef restoration efforts.</span></p>","language":"English","publisher":"National Shellfisheries Association","doi":"10.2983/035.036.0206","usgsCitation":"Schwarting Miller, L., La Peyre, J.F., and LaPeyre, M.K., 2017, Suitability of oyster restoration sites along the Louisiana coast: Examining site and stock × site interaction: Journal of Shellfish Research, v. 36, no. 2, p. 341-351, https://doi.org/10.2983/035.036.0206.","productDescription":"11 p.","startPage":"341","endPage":"351","ipdsId":"IP-083230","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.592529296875,\n              28.65203063036226\n            ],\n            [\n              -89.088134765625,\n              28.65203063036226\n            ],\n            [\n              -89.088134765625,\n              30.6662659463233\n            ],\n            [\n              -93.592529296875,\n              30.6662659463233\n            ],\n            [\n              -93.592529296875,\n              28.65203063036226\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8a1e4b09af898c8cb90","contributors":{"authors":[{"text":"Schwarting Miller, Lindsay","contributorId":200035,"corporation":false,"usgs":false,"family":"Schwarting Miller","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":720748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":720749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720706,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194201,"text":"70194201 - 2017 - Paltry past-precipitation: Predisposing prairie dogs to plague?","interactions":[],"lastModifiedDate":"2017-11-17T15:14:11","indexId":"70194201","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Paltry past-precipitation: Predisposing prairie dogs to plague?","docAbstract":"<p><span>The plague bacterium&nbsp;</span><i>Yersinia pestis</i><span><span>&nbsp;</span>was introduced to California in 1900 and spread rapidly as a sylvatic disease of mammalian hosts and flea vectors, invading the Great Plains in the United States by the 1930s to 1940s. In grassland ecosystems, plague causes periodic, devastating epizootics in colonies of black-tailed prairie dogs (</span><i>Cynomys ludovicianus</i><span>), sciurid rodents that create and maintain subterranean burrows. In doing so, plague inhibits prairie dogs from functioning as keystone species of grassland communities. The rate at which fleas transmit<span>&nbsp;</span></span><i>Y. pestis</i><span><span>&nbsp;</span>is thought to increase when fleas are abundant. Flea densities can increase during droughts when vegetative production is reduced and herbivorous prairie dogs are malnourished and have weakened defenses against fleas. Epizootics of plague have erupted frequently in prairie dogs during years in which precipitation was plentiful, and the accompanying cool temperatures might have facilitated the rate at which fleas transmitted<span>&nbsp;</span></span><i>Y. pestis</i><span>. Together these observations evoke the hypothesis that transitions from dry-to-wet years provide conditions for plague epizootics in prairie dogs. Using generalized linear models, we analyzed a 24-year dataset on the occurrence of plague epizootics in 42 colonies of prairie dogs from Colorado, USA, 1982–2005. Of the 33 epizootics observed, 52% erupted during years with increased precipitation in summer. For the years with increased summer precipitation, if precipitation in the prior growing season declined from the maximum of 502 mm to the minimum of 200 mm, the prevalence of plague epizootics was predicted to increase 3-fold. Thus, reduced precipitation may have predisposed prairie dogs to plague epizootics when moisture returned. Biologists sometimes assume dry conditions are detrimental for plague. However, 48% of epizootics occurred during years in which precipitation was scarce in summer. In some cases, an increased abundance of fleas during dry years might compensate for other conditions that become less favorable for plague transmission. Global warming is forecasted to amplify the hydrological cycle in the Great Plains, causing an increased occurrence of prolonged droughts interceded by brief periods of intense precipitation. Results herein suggest these changes might affect plague cycles in prairie dogs. Both negative and positive consequences of dry conditions should be considered when managing plague.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21281","usgsCitation":"Eads, D., and Biggins, D.E., 2017, Paltry past-precipitation: Predisposing prairie dogs to plague?: Journal of Wildlife Management, v. 81, no. 6, p. 990-998, https://doi.org/10.1002/jwmg.21281.","productDescription":"9 p.","startPage":"990","endPage":"998","ipdsId":"IP-086521","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":438257,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71G0K17","text":"USGS data release","linkHelpText":"Occurrence of plague epizootics in colonies of black-tailed prairie dogs, Pawnee National Grassland, Colorado, 1982-2005"},{"id":349075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-04","publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230b6","contributors":{"authors":[{"text":"Eads, David deads@usgs.gov","contributorId":200549,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","affiliations":[],"preferred":true,"id":722638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":722639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190373,"text":"70190373 - 2017 - Lichens and microfungi in biocrusts: Structure and function now and in the future","interactions":[],"lastModifiedDate":"2020-08-20T18:31:55.473393","indexId":"70190373","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Lichens and microfungi in biocrusts: Structure and function now and in the future","docAbstract":"Biological soil crusts (biocrusts) are formed by soil-surface communities of biota that live within, or immediately on top of, the uppermost millimeters of soil. They consist of cyanobacteria, algae, mosses, microfungi, and lichenized fungi (hereafter, lichens). Cyanobacterial and microfungal filaments, rhizinae and rhizomorphs of lichens, and rhizinae and protonemata of bryophytes weave throughout the top few millimeters of soil, gluing loose soil particles together (Fig. 1). The intimate association between soil particles and organisms forms a coherent crust.  A quantitative estimate of global biological crust cover is difficult to obtain and not yet available, but the worldwide coverage of the terrestrial surface by biocrusts is very high. In arid and semiarid areas, biocrusts may constitute up to or more than 70% of the living cover and dryland (hyper-arid, arid, semi-arid, and polar deserts) ecosystems, where they often dominate, cover ~40% of the terrestrial land mass (Pointing and Belnap 2014).\nLichens and microfungi are an essential and often dominant part of biocrusts. About one fifth (19 %) of all known species of fungi are lichenized; that is, they form a stable symbiotic association with green algal or/and cyanobacterial photobionts that provide nutrients for the mycobiont (fungi). The vast majority of lichenized fungi belong to the Ascomycota, with 42% of all fungi in this group forming lichens (Kirk et al., 2001). About 85% of lichen-forming fungi are symbiotic with Chlorophyta (green algae, creating \"chlorolichens), approximately 10% with Cyanophyta, (creating \"cyanolichens\"), and the remainder are associated simultaneously with both groups. About 40 genera of photobionts have been identified in lichens: 25 are green algae and 15 are cyanobacteria. \n\tThe autotrophic lifestyle of lichens requires an exposure of the green thallus to light.  Most lichens are long-lived organisms with high habitat specificity. They are especially ecologically successful in dryland areas where competition with phanerogamous vegetation is reduced. It is estimated that approximately 8% of the earth's terrestrial surface has lichens as its most dominant life-form (Ahmadjian 1995). One of their most important habitats are biocrusts, which lichens often dominate. \nIn the present Chapter we concentrate on those widely distributed biocrusts in which free-living and lichenized fungi play a dominating role. We describe their community structure, analyze the special properties and functions of these organisms as key members of biocrusts, and then discuss the function of the fungi-rich biocrusts as components of larger ecosystems and landscapes (for details and specific literature, see Belnap and Lange 2003).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The fungal community","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9781315119496-11","usgsCitation":"Belnap, J., and Lange, O.L., 2017, Lichens and microfungi in biocrusts: Structure and function now and in the future, chap. 10 <i>of</i> The fungal community, p. 137-158, https://doi.org/10.1201/9781315119496-11.","productDescription":"22 p.","startPage":"137","endPage":"158","ipdsId":"IP-071482","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":345271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-29","publicationStatus":"PW","scienceBaseUri":"59a67d41e4b0fd9b77ce479c","contributors":{"editors":[{"text":"Dighton, J.","contributorId":47201,"corporation":false,"usgs":true,"family":"Dighton","given":"J.","email":"","affiliations":[],"preferred":false,"id":708884,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"White, James F.","contributorId":152046,"corporation":false,"usgs":false,"family":"White","given":"James F.","affiliations":[],"preferred":false,"id":708885,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":708762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lange, Otto L.","contributorId":195959,"corporation":false,"usgs":false,"family":"Lange","given":"Otto","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":708763,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193043,"text":"70193043 - 2017 - Automated quantification of surface water inundation in wetlands using optical satellite imagery","interactions":[],"lastModifiedDate":"2017-11-12T11:13:09","indexId":"70193043","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Automated quantification of surface water inundation in wetlands using optical satellite imagery","docAbstract":"<p>We present a fully automated and scalable algorithm for quantifying surface water inundation in wetlands. Requiring no external training data, our algorithm estimates sub-pixel water fraction (SWF) over large areas and long time periods using Landsat data. We tested our SWF algorithm over three wetland sites across North America, including the Prairie Pothole Region, the Delmarva Peninsula and the Everglades, representing a gradient of inundation and vegetation conditions. We estimated SWF at 30-m resolution with accuracies ranging from a normalized root-mean-square-error of 0.11 to 0.19 when compared with various high-resolution ground and airborne datasets. SWF estimates were more sensitive to subtle inundated features compared to previously published surface water datasets, accurately depicting water bodies, large heterogeneously inundated surfaces, narrow water courses and canopy-covered water features. Despite this enhanced sensitivity, several sources of errors affected SWF estimates, including emergent or floating vegetation and forest canopies, shadows from topographic features, urban structures and unmasked clouds. The automated algorithm described in this article allows for the production of high temporal resolution wetland inundation data products to support a broad range of applications.</p>","language":"English","publisher":"MDPI","doi":"10.3390/rs9080807","usgsCitation":"DeVries, B., Huang, C., Lang, M.W., Jones, J., Huang, W., Creed, I., and Carroll, M.L., 2017, Automated quantification of surface water inundation in wetlands using optical satellite imagery: Remote Sensing, v. 9, no. 8, Article 807; 22 p., https://doi.org/10.3390/rs9080807.","productDescription":"Article 807; 22 p.","ipdsId":"IP-087428","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs9080807","text":"Publisher Index Page"},{"id":348619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-07","publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c94143","contributors":{"authors":[{"text":"DeVries, Ben 0000-0003-2136-3401","orcid":"https://orcid.org/0000-0003-2136-3401","contributorId":198971,"corporation":false,"usgs":false,"family":"DeVries","given":"Ben","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":717737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Chengquan 0000-0003-0055-9798","orcid":"https://orcid.org/0000-0003-0055-9798","contributorId":198972,"corporation":false,"usgs":false,"family":"Huang","given":"Chengquan","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":717738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lang, Megan W.","contributorId":196284,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":717739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":717736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huang, Wenli 0000-0001-9608-1690","orcid":"https://orcid.org/0000-0001-9608-1690","contributorId":198973,"corporation":false,"usgs":false,"family":"Huang","given":"Wenli","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":717740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Creed, Irena F.","contributorId":81209,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":27655,"text":"Department of Biology, University of Western Ontario, London, ON Canada","active":true,"usgs":false}],"preferred":false,"id":717741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carroll, Mark L.","contributorId":145826,"corporation":false,"usgs":false,"family":"Carroll","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":16247,"text":"Sigma Space Corp, NASA Goddard Space Flight Center, Greenbelt, MD, USA","active":true,"usgs":false},{"id":7239,"text":"Science Systems and Applications, Inc.","active":true,"usgs":false},{"id":16246,"text":"Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA","active":true,"usgs":false}],"preferred":false,"id":721689,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70189981,"text":"70189981 - 2017 - Use of navigation channels by Lake Sturgeon: Does channelization increase vulnerability of fish to ship strikes?","interactions":[],"lastModifiedDate":"2017-08-01T07:10:19","indexId":"70189981","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Use of navigation channels by Lake Sturgeon: Does channelization increase vulnerability of fish to ship strikes?","docAbstract":"Channelization for navigation and flood control has altered the hydrology and bathymetry of many large rivers with unknown consequences for fish species that undergo riverine migrations. In this study, we investigated whether altered flow distributions and bathymetry associated with channelization attracted migrating Lake Sturgeon (Acipenser fulvescens) into commercial navigation channels, potentially increasing their exposure to ship strikes. To address this question, we quantified and compared Lake Sturgeon selection for navigation channels vs. alternative pathways in two multi-channel rivers differentially affected by channelization, but free of barriers to sturgeon movement. Acoustic telemetry was used to quantify Lake Sturgeon movements. Under the assumption that Lake Sturgeon navigate by following primary flow paths, acoustic-tagged Lake Sturgeon in the more-channelized lower Detroit River were expected to choose navigation channels over alternative pathways and to exhibit greater selection for navigation channels than conspecifics in the less-channelized lower St. Clair River. Consistent with these predictions, acoustic-tagged Lake Sturgeon in the more-channelized lower Detroit River selected the higher-flow and deeper navigation channels over alternative migration pathways, whereas in the less-channelized lower St. Clair River, individuals primarily used pathways alternative to navigation channels. Lake Sturgeon selection for navigation channels as migratory pathways also was significantly higher in the more-channelized lower Detroit River than in the less-channelized lower St. Clair River. We speculated that use of navigation channels over alternative pathways would increase the spatial overlap of commercial vessels and migrating Lake Sturgeon, potentially enhancing their vulnerability to ship strikes. Results of our study thus demonstrated an association between channelization and the path use of migrating Lake Sturgeon that could prove important for predicting sturgeon-vessel interactions in navigable rivers as well as for understanding how fish interact with their habitat in landscapes altered by human activity.","language":"English","doi":"10.1371/journal.pone.0179791","usgsCitation":"Hondorp, D.W., Bennion, D., Roseman, E.F., Holbrook, C., Boase, J., Chiotti, J., Thomas, M.V., Wills, T.C., Drouin, R., Kessel, S.T., and Krueger, C., 2017, Use of navigation channels by Lake Sturgeon: Does channelization increase vulnerability of fish to ship strikes?: PLoS ONE, v. 12, no. 7, e0179791: 18 p., https://doi.org/10.1371/journal.pone.0179791.","productDescription":"e0179791: 18 p.","ipdsId":"IP-084062","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469647,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0179791","text":"Publisher Index Page"},{"id":344479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.20907592773438,\n              42.05643057984999\n            ],\n            [\n              -83.07723999023438,\n              42.05643057984999\n            ],\n            [\n              -83.07723999023438,\n              42.20105559753742\n            ],\n            [\n              -83.20907592773438,\n              42.20105559753742\n            ],\n            [\n              -83.20907592773438,\n              42.05643057984999\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.72842407226562,\n              42.48222557002593\n            ],\n            [\n              -82.50869750976562,\n              42.48222557002593\n            ],\n            [\n              -82.50869750976562,\n              42.64810165693524\n            ],\n            [\n              -82.72842407226562,\n              42.64810165693524\n            ],\n            [\n              -82.72842407226562,\n              42.48222557002593\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-05","publicationStatus":"PW","scienceBaseUri":"59819313e4b0e2f5d463b78b","contributors":{"authors":[{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":706977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennion, David 0000-0003-4927-4195 dbennion@usgs.gov","orcid":"https://orcid.org/0000-0003-4927-4195","contributorId":149533,"corporation":false,"usgs":true,"family":"Bennion","given":"David","email":"dbennion@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":706978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. 0000-0002-5315-9838 eroseman@usgs.gov","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":168428,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward","email":"eroseman@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":706979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":706980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boase, James C.","contributorId":38077,"corporation":false,"usgs":false,"family":"Boase","given":"James C.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":706981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chiotti, Justin A.","contributorId":26629,"corporation":false,"usgs":false,"family":"Chiotti","given":"Justin A.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":706982,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thomas, Michael V.","contributorId":195401,"corporation":false,"usgs":false,"family":"Thomas","given":"Michael","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":706983,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wills, Todd C.","contributorId":195402,"corporation":false,"usgs":false,"family":"Wills","given":"Todd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":706984,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drouin, Richard","contributorId":70288,"corporation":false,"usgs":false,"family":"Drouin","given":"Richard","email":"","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":706985,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kessel, Steven T.","contributorId":195403,"corporation":false,"usgs":false,"family":"Kessel","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":706986,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":706987,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70188671,"text":"sir20175068 - 2017 - Geochemical characterization of groundwater discharging from springs north of the Grand Canyon, Arizona, 2009–2016","interactions":[],"lastModifiedDate":"2019-05-20T08:40:28","indexId":"sir20175068","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5068","title":"Geochemical characterization of groundwater discharging from springs north of the Grand Canyon, Arizona, 2009–2016","docAbstract":"<p>A geochemical study was conducted on 37 springs discharging from the Toroweap Formation, Coconino Sandstone, Hermit Formation, Supai Group, and Redwall Limestone north of the Grand Canyon near areas of breccia-pipe uranium mining. Baseline concentrations were established for the elements As, B, Li, Se, SiO<sub>2</sub>, Sr, Tl, U, and V. Three springs exceeded U.S. Environmental Protection Agency drinking water standards: Fence Spring for arsenic, Pigeon Spring for selenium and uranium, and Willow (Hack) Spring for selenium. The majority of the spring sites had uranium values of less than 10 micrograms per liter (μg/L), but six springs discharging from all of the geologic units studied that are located stratigraphically above the Redwall Limestone had uranium values greater than 10 μg/L (Cottonwood [Tuckup], Grama, Pigeon, Rock, and Willow [Hack and Snake Gulch] Springs). The geochemical characteristics of these six springs with elevated uranium include Ca-Mg-SO<sub>4</sub> water type, circumneutral pH, high specific conductance, correlation and multivariate associations between U, Mo, Sr, Se, Li, and Zn, low <sup>87</sup>Sr/<sup>86</sup>Sr, low <sup>234</sup>U/<sup>238</sup>U activity ratios (1.34–2.31), detectable tritium, and carbon isotopic interpretation indicating they may be a mixture of modern and pre-modern waters. Similar geochemical compositions of spring waters having elevated uranium concentrations are observed at sites located both near and away from sites of uranium-mining activities in the present study. Therefore, mining does not appear to explain the presence of elevated uranium concentrations in groundwater at the six springs noted above. The elevated uranium at the six previously mentioned springs may be influenced by iron mineralization associated with mineralized breccia pipe deposits. Six springs discharging from the Coconino Sandstone (Upper Jumpup, Little, Horse, and Slide Springs) and Redwall Limestone (Kanab and Side Canyon Springs) contained water with corrected radiocarbon ages as much as 9,300 years old. Of the springs discharging water with radiocarbon age, Kanab and Side Canyon Springs contain tritium of more than 1.3 picocuries per liter (pCi/L), indicating they may contain a component of modern water recharged after 1952. Springs containing high values of tritium (greater than 5.1 pCi/L), which may suggest a significant component of modern water, include Willow (Hack), Saddle Horse, Cottonwood (Tuckup), Hotel, Bitter, Unknown, Hole in the Wall, and Hanging Springs. Fence and Rider Springs, located on the eastern end of the study area near the Colorado River, have distinctly different geochemical compositions compared to the other springs of the study. Additionally, water from Fence Spring has the highest <sup>87</sup>Sr/<sup>86</sup>Sr for samples analyzed from this study with a value greater than those known in sedimentary rocks from the region. Strontium isotope data likely indicate that water discharging at Fence Spring has interacted with Precambrian basement rocks. Rider Spring had the most depleted values of stable O and H isotopes indicating that recharge, if recent, occurred at higher elevations or was recharged during earlier, cooler-climate conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175068","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Beisner, K.R., Tillman, F.D., Anderson, J.R., Antweiler, R.C., and Bills, D.J., 2017, Geochemical characterization of groundwater discharging from springs north of the Grand Canyon, Arizona, 2009–2016: U.S. Geological Survey Scientific Investigations Report 2017–5068, 58 p., https://doi.org/10.3133/sir20175068.","productDescription":"Report: vi, 58 p.; 6 Appendixes","onlineOnly":"Y","ipdsId":"IP-084230","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":344518,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5068/sir20175068_appendixes.xlsx","text":"Appendixes 1–6","size":"85 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5068"},{"id":344517,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5068/sir20175068_.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5068"},{"id":344516,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5068/coverthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.4,\n              35.6\n            ],\n            [\n              -111.6,\n              35.6\n            ],\n            [\n              -111.6,\n              37\n            ],\n            [\n              -113.4,\n              37\n            ],\n            [\n              -113.4,\n              35.6\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://az.water.usgs.gov/\" data-mce-href=\"http://az.water.usgs.gov/\">Arizona Water Science Center<br></a><a href=\"https://usgs.gov\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719<br>(520) 670-6671<br></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Methodology<br></li><li>Results&nbsp;<br></li><li>Discussion<br></li><li>Conclusions<br></li><li>References Cited<br></li><li>Appendixes 1–6<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-08-01","noUsgsAuthors":false,"publicationDate":"2017-08-01","publicationStatus":"PW","scienceBaseUri":"59819314e4b0e2f5d463b797","contributors":{"authors":[{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":698860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Jessica R.","contributorId":58132,"corporation":false,"usgs":true,"family":"Anderson","given":"Jessica R.","affiliations":[],"preferred":false,"id":698862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":698861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bills, Donald J. djbills@usgs.gov","contributorId":4180,"corporation":false,"usgs":true,"family":"Bills","given":"Donald J.","email":"djbills@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":698863,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188739,"text":"sir20175067 - 2017 - Temporal changes in nitrogen and phosphorus concentrations with comparisons to conservation practices and agricultural activities in the Lower Grand River, Missouri and Iowa, and selected watersheds, 1969–2015","interactions":[],"lastModifiedDate":"2019-07-31T10:16:55","indexId":"sir20175067","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5067","title":"Temporal changes in nitrogen and phosphorus concentrations with comparisons to conservation practices and agricultural activities in the Lower Grand River, Missouri and Iowa, and selected watersheds, 1969–2015","docAbstract":"<p>This report presents the results of a cooperative study by the U.S. Geological Survey and Missouri Department of Natural Resources to estimate total nitrogen (TN) and total phosphorus (TP) concentrations at monitoring sites within and near the Lower Grand River hydrological unit. The primary objectives of the study were to quantify temporal changes in TN and TP concentrations and compare those concentrations to conservation practices and agricultural activities. Despite increases in funding during 2011–15 for conservation practices in the Lower Grand River from the Mississippi River Basin Healthy Watersheds Initiative, decreases in flow-normalized TN and TP concentrations during this time at the long-term Grand River site were less than at other long-term sites, which did not receive funding from the Mississippi River Basin Healthy Watersheds Initiative. The relative differences in the magnitude of flow-normalized TN and TP concentrations among long-term sites are directly related to the amount of agricultural land use within the watershed. Significant relations were determined between nitrogen from cattle manure and flow-normalized TN concentrations at selected long-term sites, indicating livestock manure may be a substantial source of nitrogen within the selected long-term site watersheds. Relations between flow-normalized TN and TP concentrations with Conservation Reserve Program acres and with nitrogen and phosphorus from commercial fertilizer indicate that changes in these factors alone did not have a substantial effect on stream TN and TP concentrations; other landscape activities, runoff, within-bank nutrients that are suspended during higher streamflows, or a combination of these have had a greater effect on stream TN and TP concentrations; or there is a lag time that is obscuring relations. Temporal changes in flow-adjusted TN and TP concentrations were not substantial at Lower Grand River Mississippi River Basin Healthy Watersheds Initiative sites, indicating factors besides stream variability did not have substantial effects on TN and TP concentrations. Flow-weighted TN and TP concentrations at Lower Grand River Mississippi River Basin Healthy Watershed Initiative sites increase with increasing streamflow, which indicates runoff, within-bank nutrients that are suspended during higher streamflows, or both, have more effect on stream TN and TP concentrations than consistent point sources or groundwater sources. Timing of TN and TP concentration increases compared to streamflow increases indicate that nitrogen and phosphorus loads are more strongly related to streamflow than to a particular period of the year, indicating that runoff, within-bank nutrients that are suspended during higher streamflows, or both are a substantial source of nutrients regardless of timing.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175067","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Krempa, H.M., and Flickinger, A.K., 2017, Temporal changes in nitrogen and phosphorus concentrations with comparisons to conservation practices and agricultural activities in the Lower Grand River, Missouri and Iowa, and selected watersheds, 1969–2015: U.S. Geological Survey Scientific Investigations Report 2017–5067, 28 p., https://doi.org/10.3133/sir20175067.","productDescription":"Report: vii, 28 p.; Appendix: 1–8","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-082213","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":344501,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5067/coverthb.jpg"},{"id":344502,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5067/sir20175067.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5067"},{"id":344503,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5067/sir20175067_appendixes.xlsx","text":"Appendix 1–8","size":"725 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5067 Appendixes","linkHelpText":"Supplemental Data for Selected Sites in Missouri and Iowa"}],"country":"United States","state":"Iowa, Missouri","otherGeospatial":"Chariton River, Lower Grand River, Nodaway River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.2,\n              39.2\n            ],\n            [\n              -92.5,\n              39.2\n            ],\n            [\n              -92.5,\n              41.5\n            ],\n            [\n              -95.2,\n              41.5\n            ],\n            [\n              -95.2,\n              39.2\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: dc_mo@usgs.gov\" data-mce-href=\"mailto: dc_mo@usgs.gov\">Director</a>, <a href=\"https://mo.water.usgs.gov/\" data-mce-href=\"https://mo.water.usgs.gov/\">Missouri Water Science Center</a><br>U.S. Geological Survey<br>1400 Independence Road<br>Rolla, MO 65401</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Study Methods<br></li><li>Temporal Changes of Total Nitrogen and Total Phosphorus Concentrations With Comparisons to Conservation Practices and Agricultural Activities<br></li><li>Summary and Conclusions<br></li><li>References Cited<br></li><li>Appendixes 1–8. Supplemental Data for Selected Sites in Missouri and Iowa<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-08-01","noUsgsAuthors":false,"publicationDate":"2017-08-01","publicationStatus":"PW","scienceBaseUri":"59819314e4b0e2f5d463b795","contributors":{"authors":[{"text":"Krempa, Heather M. 0000-0002-1556-6934 hkrempa@usgs.gov","orcid":"https://orcid.org/0000-0002-1556-6934","contributorId":148999,"corporation":false,"usgs":true,"family":"Krempa","given":"Heather","email":"hkrempa@usgs.gov","middleInitial":"M.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":false,"id":699536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flickinger, Allison K. 0000-0002-8638-2569 aflickinger@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-2569","contributorId":193268,"corporation":false,"usgs":true,"family":"Flickinger","given":"Allison","email":"aflickinger@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":699537,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189909,"text":"70189909 - 2017 - Spatial heterogeneity of within-stream methane concentrations","interactions":[],"lastModifiedDate":"2018-01-30T21:10:19","indexId":"70189909","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatial heterogeneity of within-stream methane concentrations","docAbstract":"<p><span>Streams, rivers, and other freshwater features may be significant sources of CH</span><sub>4</sub><span><span>&nbsp;</span>to the atmosphere. However, high spatial and temporal variabilities hinder our ability to understand the underlying processes of CH</span><sub>4</sub><span><span>&nbsp;</span>production and delivery to streams and also challenge the use of scaling approaches across large areas. We studied a stream having high geomorphic variability to assess the underlying scale of CH</span><sub>4</sub><span><span>&nbsp;</span>spatial variability and to examine whether the physical structure of a stream can explain the variation in surface CH</span><sub>4</sub><span>. A combination of high-resolution CH</span><sub>4</sub><span><span>&nbsp;</span>mapping, a survey of groundwater CH</span><sub>4</sub><span><span>&nbsp;</span>concentrations, quantitative analysis of methanogen DNA, and sediment CH</span><sub>4</sub><span><span>&nbsp;</span>production potentials illustrates the spatial and geomorphic controls on CH</span><sub>4</sub><span><span>&nbsp;</span>emissions to the atmosphere. We observed significant spatial clustering with high CH</span><sub>4</sub><span><span>&nbsp;</span>concentrations in organic-rich stream reaches and lake transitions. These sites were also enriched in the methane-producing<span>&nbsp;</span></span><i>mcrA</i><span><span>&nbsp;</span>gene and had highest CH</span><sub>4</sub><span><span>&nbsp;</span>production rates in the laboratory. In contrast, mineral-rich reaches had significantly lower concentrations and had lesser abundances of<span>&nbsp;</span></span><i>mcrA</i><span>. Strong relationships between CH</span><sub>4</sub><span>and the physical structure of this aquatic system, along with high spatial variability, suggest that future investigations will benefit from viewing streams as landscapes, as opposed to ecosystems simply embedded in larger terrestrial mosaics. In light of such high spatial variability, we recommend that future workers evaluate stream networks first by using similar spatial tools in order to build effective sampling programs.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JG003698","usgsCitation":"Crawford, J.T., Loken, L., West, W.E., Crary, B., Spawn, S.A., Gubbins, N., Jones, S., Striegl, R.G., and Stanley, E.H., 2017, Spatial heterogeneity of within-stream methane concentrations: Journal of Geophysical Research G: Biogeosciences, v. 122, no. 5, p. 1036-1048, https://doi.org/10.1002/2016JG003698.","productDescription":"13 p.","startPage":"1036","endPage":"1048","ipdsId":"IP-068962","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469649,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jg003698","text":"Publisher Index Page"},{"id":344492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-04","publicationStatus":"PW","scienceBaseUri":"59819313e4b0e2f5d463b78d","contributors":{"authors":[{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loken, Luke C. lloken@usgs.gov","contributorId":169218,"corporation":false,"usgs":true,"family":"Loken","given":"Luke C.","email":"lloken@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":706733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"West, William E.","contributorId":195309,"corporation":false,"usgs":false,"family":"West","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":706734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crary, Benjamin","contributorId":195310,"corporation":false,"usgs":false,"family":"Crary","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":706735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spawn, Seth A.","contributorId":181881,"corporation":false,"usgs":false,"family":"Spawn","given":"Seth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706736,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gubbins, Nicholas","contributorId":195312,"corporation":false,"usgs":false,"family":"Gubbins","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":706737,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Stuart E.","contributorId":22222,"corporation":false,"usgs":false,"family":"Jones","given":"Stuart E.","affiliations":[{"id":6966,"text":"Department of Biological Sciences, University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":706738,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":706739,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":706740,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192203,"text":"70192203 - 2017 - Managed aquifer recharge through off-season irrigation in agricultural regions","interactions":[],"lastModifiedDate":"2017-10-23T11:58:54","indexId":"70192203","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Managed aquifer recharge through off-season irrigation in agricultural regions","docAbstract":"<p><span>Options for increasing reservoir storage in developed regions are limited and prohibitively expensive. Projected increases in demand call for new long-term water storage to help sustain agriculture, municipalities, industry, and ecological services. Managed aquifer recharge (MAR) is becoming an integral component of water resources around the world. However, MAR faces challenges, including infrastructure costs, difficulty in enhancing recharge, water quality issues, and lack of available water supplies. Here we examine, through simulation modeling of a hypothetical agricultural subbasin in the western U.S., the potential of agricultural managed aquifer recharge (Ag-MAR) via canal seepage and off-season field irrigation. Weather phenomenon in many regions around the world exhibit decadal and other multiyear cycles of extreme precipitation. An ongoing challenge is to develop approaches to store greater amounts of water during these events. Simulations presented herein incorporate Ag-MAR programs and demonstrate that there is potential to enhance regional recharge by 7–13%, increase crop consumptive use by 9–12%, and increase natural vegetation consumption by 20–30%, where larger relative increases occur for lower aquifer hydraulic conductivity and higher specific yield values. Annual increases in groundwater levels were 7 m, and sustained levels following several years of drought were greater than 2 m. Results demonstrate that Ag-MAR has great potential to enhance long-term sustainability of water resources in agricultural basins.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017WR020458","usgsCitation":"Niswonger, R.G., Morway, E.D., Triana, E., and Huntington, J., 2017, Managed aquifer recharge through off-season irrigation in agricultural regions: Water Resources Research, v. 53, no. 8, p. 6970-6992, https://doi.org/10.1002/2017WR020458.","productDescription":"23 p.","startPage":"6970","endPage":"6992","ipdsId":"IP-087681","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020458","text":"Publisher Index Page"},{"id":347106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-17","publicationStatus":"PW","scienceBaseUri":"59eeffa5e4b0220bbd988f7e","contributors":{"authors":[{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Triana, Enrique","contributorId":169532,"corporation":false,"usgs":false,"family":"Triana","given":"Enrique","email":"","affiliations":[{"id":25556,"text":"MWH Global, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":714750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Justin L.","contributorId":31279,"corporation":false,"usgs":true,"family":"Huntington","given":"Justin L.","affiliations":[],"preferred":false,"id":714751,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}