{"pageNumber":"397","pageRowStart":"9900","pageSize":"25","recordCount":166004,"records":[{"id":70231668,"text":"70231668 - 2022 - Integration of satellite-based optical and synthetic aperture radar imagery to estimate winter cover crop performance in cereal grasses","interactions":[],"lastModifiedDate":"2022-05-19T11:43:39.845072","indexId":"70231668","displayToPublicDate":"2022-04-26T06:35:48","publicationYear":"2022","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":"Integration of satellite-based optical and synthetic aperture radar imagery to estimate winter cover crop performance in cereal grasses","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">The magnitude of ecosystem services provided by winter cover crops is linked to their performance (i.e., biomass and associated nitrogen content, forage quality, and fractional ground cover), although few studies quantify these characteristics across the landscape. Remote sensing can produce landscape-level assessments of cover crop performance. However, commonly employed optical vegetation indices (VI) saturate, limiting their ability to measure high-biomass cover crops. Contemporary VIs that employ red-edge bands have been shown to be more robust to saturation issues. Additionally, synthetic aperture radar (SAR) data have been effective at estimating crop biophysical characteristics, although this has not been demonstrated on winter cover crops. We assessed the integration of optical (Sentinel-2) and SAR (Sentinel-1) imagery to estimate winter cover crops biomass across 27 fields over three winter–spring seasons (2018–2021) in Maryland. We used log-linear models to predict cover crop biomass as a function of 27 VIs and eight SAR metrics. Our results suggest that the integration of the normalized difference red-edge vegetation index (NDVI_RE1; employing Sentinel-2 bands 5 and 8A), combined with SAR interferometric (InSAR) coherence, best estimated the biomass of cereal grass cover crops. However, these results were season- and species-specific (R<sup>2</sup><span>&nbsp;</span>= 0.74, 0.81, and 0.34; RMSE = 1227, 793, and 776 kg ha<sup>−1</sup>, for wheat (<span class=\"html-italic\">Triticum aestivum</span><span>&nbsp;</span>L.), triticale (<span class=\"html-italic\">Triticale hexaploide</span><span>&nbsp;</span>L.), and cereal rye (<span class=\"html-italic\">Secale cereale</span>), respectively, in spring (March–May)). Compared to the optical-only model, InSAR coherence improved biomass estimations by 4% in wheat, 5% in triticale, and by 11% in cereal rye. Both optical-only and optical-SAR biomass prediction models exhibited saturation occurring at ~1900 kg ha<sup>−1</sup>; thus, more work is needed to enable accurate biomass estimations past the point of saturation. To address this continued concern, future work could consider the use of weather and climate variables, machine learning models, the integration of proximal sensing and satellite observations, and/or the integration of process-based crop-soil simulation models and remote sensing observations.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"MDPI","doi":"10.3390/rs14092077","usgsCitation":"Jennewein, J., Lamb, B.T., Hively, W.D., Thieme, A., Thapa, R., Goldsmith, A., and Dennison, P., 2022, Integration of satellite-based optical and synthetic aperture radar imagery to estimate winter cover crop performance in cereal grasses: Remote Sensing, v. 14, no. 9, 2077, 27 p., https://doi.org/10.3390/rs14092077.","productDescription":"2077, 27 p.","ipdsId":"IP-139633","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":448013,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs14092077","text":"Publisher Index Page"},{"id":435865,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ASSF1T","text":"USGS data release","linkHelpText":"Winter cover crop biomass sampling at the Beltsville Agricultural Research Center, 2019-2021, with corresponding Sentinel-1 and Sentinel-2 derived indices and metrics"},{"id":400799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"14","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-04-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Jennewein, Jyoti","contributorId":243442,"corporation":false,"usgs":false,"family":"Jennewein","given":"Jyoti","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":843300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamb, Brian T. 0000-0001-7957-5488","orcid":"https://orcid.org/0000-0001-7957-5488","contributorId":291893,"corporation":false,"usgs":true,"family":"Lamb","given":"Brian","middleInitial":"T.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":210993,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":843302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thieme, Alison","contributorId":237963,"corporation":false,"usgs":false,"family":"Thieme","given":"Alison","email":"","affiliations":[{"id":47661,"text":"University of Maryland, Geographical Sciences","active":true,"usgs":false}],"preferred":false,"id":843303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thapa, Resham","contributorId":291894,"corporation":false,"usgs":false,"family":"Thapa","given":"Resham","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":843304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldsmith, Avi","contributorId":291895,"corporation":false,"usgs":false,"family":"Goldsmith","given":"Avi","email":"","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":843305,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dennison, Phillip 0000-0002-0241-1917","orcid":"https://orcid.org/0000-0002-0241-1917","contributorId":266031,"corporation":false,"usgs":false,"family":"Dennison","given":"Phillip","email":"","affiliations":[{"id":54865,"text":"Dept. Geography, Utah State University","active":true,"usgs":false}],"preferred":false,"id":843306,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70231904,"text":"70231904 - 2022 - Determination of recharge areas that supply decades old groundwater to creeks inhabited by the threatened Okaloosa darter","interactions":[],"lastModifiedDate":"2022-06-02T15:11:31.761131","indexId":"70231904","displayToPublicDate":"2022-04-25T10:03:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10778,"text":"Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Determination of recharge areas that supply decades old groundwater to creeks inhabited by the threatened Okaloosa darter","docAbstract":"<p><span>The Okaloosa darter (</span><i><span class=\"html-italic\">Etheostoma okaloosae</span></i><span>) is a diminutive, perch-like, benthic fish that inhabits only six small, clear, and shallow creek systems that flow almost entirely within Eglin Air Force Base in the panhandle of northwest Florida. Listed as Endangered by the U.S. Fish and Wildlife Service (USFWS) in 1973, improvements in erosion control and habitat restoration led to the Okaloosa darter being downlisted from Endangered to Threatened in 2011. However, the long-term management of the species is hampered by the lack of knowledge of the spatial extent of the recharge areas that ultimately support creek flow through groundwater discharge. To address this lack of data, we collected groundwater samples from the sand and gravel aquifer beneath 11 headwater and 11 downgradient sites across six creek basins during February and December 2020. The groundwater samples were collected from 1 to 1.2 m beneath the creek bottom. Concentrations of sulfur hexafluoride (SF</span><sub>6</sub><span>) were analyzed and used to calculate groundwater age (residence time), and indicated that at the 11 headwater sites, recharge occurred between 11 and 28 years ago. Groundwater ages in downgradient parts of the same creeks indicated that recharge occurred between 5 and 25 years ago. When combined with representative values of hydraulic conductivity for the sand and gravel aquifer, the ages reveal that the extent of the maximum recharge distance from the sampling sites ranged from about 222 to 2011 m from the creeks. This new information can be used by natural resource managers as additional evidence to support the USFWS Recovery Plan and proposed delisting of the Okaloosa darter from the Endangered Species List. Moreover, these results may also be useful to fisheries biologists to incorporate groundwater inputs to facilitate fisheries management.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/hydrology9050069","usgsCitation":"Landmeyer, J.E., McBride, W.S., and Tate, W., 2022, Determination of recharge areas that supply decades old groundwater to creeks inhabited by the threatened Okaloosa darter: Hydrology, v. 9, no. 5, 69, 24 p., https://doi.org/10.3390/hydrology9050069.","productDescription":"69, 24 p.","ipdsId":"IP-137426","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":448016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrology9050069","text":"Publisher Index Page"},{"id":401642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Elgin Air Force Base","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.59561157226562,\n              30.484183951487754\n            ],\n            [\n              -86.23443603515625,\n              30.484183951487754\n            ],\n            [\n              -86.23443603515625,\n              30.681620845933267\n            ],\n            [\n              -86.59561157226562,\n              30.681620845933267\n            ],\n            [\n              -86.59561157226562,\n              30.484183951487754\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Landmeyer, James E. 0000-0002-5640-3816","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":216137,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, W. Scott 0000-0003-1828-2838","orcid":"https://orcid.org/0000-0003-1828-2838","contributorId":201573,"corporation":false,"usgs":true,"family":"McBride","given":"W.","email":"","middleInitial":"Scott","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":844083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, William B.","contributorId":55538,"corporation":false,"usgs":true,"family":"Tate","given":"William B.","affiliations":[],"preferred":false,"id":844084,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230801,"text":"70230801 - 2022 - Rock-to-metal ratio: A foundational metric for understanding mine wastes","interactions":[],"lastModifiedDate":"2022-06-01T15:22:04.367002","indexId":"70230801","displayToPublicDate":"2022-04-25T09:50:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Rock-to-metal ratio: A foundational metric for understanding mine wastes","docAbstract":"<p><span>The quantity of ore mined and waste rock (i.e., overburden or barren rock) removed to produce a refined unit of a mineral commodity, its rock-to-metal ratio (RMR), is an important metric for understanding mine wastes and environmental burdens. In this analysis, we provide a comprehensive examination of RMRs for 25 commodities for 2018. The results indicate significant variability across commodities. Precious metals like gold have RMRs in the range of 10</span><sup>5</sup><span>–10</span><sup>6</sup><span>, while iron ore and aluminum are on the order of 10</span><sup>1</sup><span>. The results also indicate significant variability across operations for a single commodity. The interquartile range of RMRs for individual cobalt operations, for example, varies from 465 to 2157, with a global RMR of 859. RMR variability is mainly driven by ore grades and revenue contribution. The total attributable ore mined and waste rock removed in the production of these 25 commodities sums to 37.6 billion metric tons, 83% of which is attributable to iron ore, copper, and gold. RMRs provide an additional dimension for evaluating the impact of materials and material choice trade-offs. The results can enhance life cycle inventories and be extended to evaluate areas of surface disturbances, mine tailings, energy requirements, and associated greenhouse gas emissions.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.1c07875","usgsCitation":"Nassar, N.T., Lederer, G.W., Brainard, J.L., Padilla, A.J., and Lessard, J.D., 2022, Rock-to-metal ratio: A foundational metric for understanding mine wastes: Environmental Science & Technology, v. 56, no. 10, p. 6710-6721, https://doi.org/10.1021/acs.est.1c07875.","productDescription":"12 p.","startPage":"6710","endPage":"6721","ipdsId":"IP-133695","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":448020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.1c07875","text":"Publisher Index Page"},{"id":399668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":841376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lederer, Graham W. 0000-0002-9505-9923","orcid":"https://orcid.org/0000-0002-9505-9923","contributorId":202407,"corporation":false,"usgs":true,"family":"Lederer","given":"Graham","email":"","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":841377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brainard, Jamie L. 0000-0002-1712-0821","orcid":"https://orcid.org/0000-0002-1712-0821","contributorId":201465,"corporation":false,"usgs":true,"family":"Brainard","given":"Jamie","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":841378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Padilla, Abraham J. 0000-0002-8371-533X","orcid":"https://orcid.org/0000-0002-8371-533X","contributorId":290608,"corporation":false,"usgs":true,"family":"Padilla","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":841379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lessard, Joseph D.","contributorId":290609,"corporation":false,"usgs":false,"family":"Lessard","given":"Joseph","email":"","middleInitial":"D.","affiliations":[{"id":62455,"text":"Apple Inc","active":true,"usgs":false}],"preferred":false,"id":841380,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230832,"text":"70230832 - 2022 - Prairie wetlands as sources or sinks of nitrous oxide: Effects of land use and hydrology","interactions":[],"lastModifiedDate":"2022-04-26T14:13:49.664763","indexId":"70230832","displayToPublicDate":"2022-04-25T09:08:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Prairie wetlands as sources or sinks of nitrous oxide: Effects of land use and hydrology","docAbstract":"<p><span>National and global greenhouse gas (GHG) budgets are continually being refined as data become available. Primary sources of the potent GHG nitrous oxide (N</span><sub>2</sub><span>O) include agricultural soil management and burning of fossil fuels, but comprehensive N</span><sub>2</sub><span>O budgets also incorporate less prominent factors such as wetlands. Freshwater wetland GHG flux estimates, however, have high uncertainty, and wetlands have been identified as both sources and sinks. Here, we analyzed a regional database of &gt;26,000 N</span><sub>2</sub><span>O chamber flux measurements sampled across &gt;150 wetlands from the Prairie Pothole Region (PPR) in the Great Plains of North America. Our goal was to identify important land use and hydrologic drivers of N</span><sub>2</sub><span>O flux to help reduce uncertainty in N</span><sub>2</sub><span>O models, and to incorporate these drivers into an upscaled estimate of wetland N</span><sub>2</sub><span>O emissions from the U.S. portion of the PPR. Within individual wetlands, exposed soils with no standing water, such as along wetland edges, were hotspots that accounted for greater than 90% of wetland N</span><sub>2</sub><span>O emissions. In contrast wet (i.e., ponded) areas had minimal or negative N</span><sub>2</sub><span>O flux. N</span><sub>2</sub><span>O flux from wetlands nested within croplands (16.3–17.3&nbsp;μg N</span><sub>2</sub><span>O m</span><sup>−2</sup><span>&nbsp;hr</span><sup>−1</sup><span>) was, in some instances, nearly double that from wetlands within grasslands (9.2–14.4&nbsp;μg N</span><sub>2</sub><span>O m</span><sup>−2</sup><span>&nbsp;h</span><sup>−1</sup><span>). We estimated that seasonal N</span><sub>2</sub><span>O flux from PPR wetlands equated to roughly 0.2% (1.04 Tg CO</span><sub>2</sub><span>&nbsp;equivalents) of the U.S. N</span><sub>2</sub><span>O budget (c. 2019). Overall, even though PPR wetlands are a small net source of N</span><sub>2</sub><span>O to the atmosphere, their emissions are negligible relative to agricultural soil management. Policy and management to restore wetland hydrology and surrounding uplands from cropland to grasslands can reduce landscape N</span><sub>2</sub><span>O fluxes. Future activities focused on wetland N</span><sub>2</sub><span>O flux would benefit from inclusion of adjacent land use and hydrologic factors, as well as from incorporation of temporally dynamic ponded wetland areas.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2022.108968","usgsCitation":"Tangen, B., and Bansal, S., 2022, Prairie wetlands as sources or sinks of nitrous oxide: Effects of land use and hydrology: Agricultural and Forest Meteorology, v. 320, 108968, 10 p., https://doi.org/10.1016/j.agrformet.2022.108968.","productDescription":"108968, 10 p.","ipdsId":"IP-134939","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":399665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Montana, North Dakota, South Dakota","otherGeospatial":"Prairie Potholes Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.9296875,\n              48.86471476180277\n            ],\n            [\n              -101.162109375,\n              47.57652571374621\n            ],\n            [\n              -100.283203125,\n              45.706179285330855\n            ],\n            [\n              -100.72265625,\n              44.653024159812\n            ],\n            [\n              -99.755859375,\n              43.83452678223682\n            ],\n            [\n              -97.119140625,\n              43.068887774169625\n            ],\n            [\n              -96.767578125,\n              43.96119063892024\n            ],\n            [\n              -95.625,\n              43.32517767999296\n            ],\n            [\n              -94.306640625,\n              41.77131167976407\n            ],\n            [\n              -92.724609375,\n              42.293564192170095\n            ],\n            [\n              -93.07617187499999,\n              44.213709909702054\n            ],\n            [\n              -97.20703125,\n              48.22467264956519\n            ],\n            [\n              -98.7890625,\n              48.980216985374994\n            ],\n            [\n              -107.9296875,\n              48.86471476180277\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"320","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841431,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70236256,"text":"70236256 - 2022 - Assessing placement bias of the global river gauge network","interactions":[],"lastModifiedDate":"2022-08-31T13:33:17.808542","indexId":"70236256","displayToPublicDate":"2022-04-25T08:20:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5791,"text":"Nature Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Assessing placement bias of the global river gauge network","docAbstract":"<p><span>Knowing where and when rivers flow is paramount to managing freshwater ecosystems. Yet stream gauging stations are distributed sparsely across rivers globally and may not capture the diversity of fluvial network properties and anthropogenic influences. Here we evaluate the placement bias of a global stream gauge dataset on its representation of socioecological, hydrologic, climatic and physiographic diversity of rivers. We find that gauges are located disproportionally in large, perennial rivers draining more human-occupied watersheds. Gauges are sparsely distributed in protected areas and rivers characterized by non-perennial flow regimes, both of which are critical to freshwater conservation and water security concerns. Disparities between the geography of the global gauging network and the broad diversity of streams and rivers weakens our ability to understand critical hydrologic processes and make informed water-management and policy decisions. Our findings underscore the need to address current gauge placement biases by investing in and prioritizing the installation of new gauging stations, embracing alternative water-monitoring strategies, advancing innovation in hydrologic modelling, and increasing accessibility of local and regional gauging data to support human responses to water challenges, both today and in the future.</span></p>","language":"English","publisher":"Nature Publications","doi":"10.1038/s41893-022-00873-0","usgsCitation":"Krabbenhoft, C., Allen, G.H., Lin, P., Godsey, S., Allen, D., Burrows, R., DelVecchia, A., Fritz, K.M., Shanafield, M., Burgin, A.J., Zimmer, M., Datry, T., Dodds, W., Jones, C., Mimms, M., Franklin, C., Hammond, J., Zipper, S., Ward, A.S., Costigan, K., Beck, H., and Olden, J., 2022, Assessing placement bias of the global river gauge network: Nature Sustainability, v. 5, p. 586-592, https://doi.org/10.1038/s41893-022-00873-0.","productDescription":"7 p.","startPage":"586","endPage":"592","ipdsId":"IP-130183","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":448023,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41893-022-00873-0","text":"External Repository"},{"id":405992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2022-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Krabbenhoft, Corey 0000-0002-2630-8287","orcid":"https://orcid.org/0000-0002-2630-8287","contributorId":225163,"corporation":false,"usgs":false,"family":"Krabbenhoft","given":"Corey","email":"","affiliations":[{"id":41059,"text":"College of Arts and Sciences and Research and Education in Energy, Environment and Water (RENEW) Institute, University at Buffalo, Buffalo, NY 14228","active":true,"usgs":false}],"preferred":false,"id":850339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, George H. 0000-0001-8301-5301","orcid":"https://orcid.org/0000-0001-8301-5301","contributorId":225161,"corporation":false,"usgs":false,"family":"Allen","given":"George","middleInitial":"H.","affiliations":[{"id":41057,"text":"Department of Geography, Texas A&M University, College Station, TX, 77843","active":true,"usgs":false}],"preferred":false,"id":850340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lin, Peirong","contributorId":295975,"corporation":false,"usgs":false,"family":"Lin","given":"Peirong","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":850342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godsey, Sarah E","contributorId":223120,"corporation":false,"usgs":false,"family":"Godsey","given":"Sarah E","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":850343,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Daniel C. 0000-0002-0451-0564","orcid":"https://orcid.org/0000-0002-0451-0564","contributorId":225169,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","middleInitial":"C.","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":850351,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burrows, Ryan","contributorId":295995,"corporation":false,"usgs":false,"family":"Burrows","given":"Ryan","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":850357,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DelVecchia, Amanda 0000-0003-4252-5991","orcid":"https://orcid.org/0000-0003-4252-5991","contributorId":225165,"corporation":false,"usgs":false,"family":"DelVecchia","given":"Amanda","email":"","affiliations":[{"id":41061,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860","active":true,"usgs":false}],"preferred":false,"id":850361,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fritz, Ken M. 0000-0002-3831-2531","orcid":"https://orcid.org/0000-0002-3831-2531","contributorId":203959,"corporation":false,"usgs":false,"family":"Fritz","given":"Ken","email":"","middleInitial":"M.","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":850345,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shanafield, Margaret","contributorId":106772,"corporation":false,"usgs":true,"family":"Shanafield","given":"Margaret","affiliations":[],"preferred":false,"id":850344,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Burgin, Amy J. 0000-0001-8489-4002","orcid":"https://orcid.org/0000-0001-8489-4002","contributorId":296009,"corporation":false,"usgs":false,"family":"Burgin","given":"Amy","email":"","middleInitial":"J.","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":850356,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zimmer, Margaret","contributorId":295996,"corporation":false,"usgs":false,"family":"Zimmer","given":"Margaret","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":850358,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Datry, Thibault 0000-0003-1390-6736","orcid":"https://orcid.org/0000-0003-1390-6736","contributorId":225166,"corporation":false,"usgs":false,"family":"Datry","given":"Thibault","email":"","affiliations":[{"id":41062,"text":"Centre de Lyon-Villeurbanne, 69626 Villeurbanne CEDEX, France","active":true,"usgs":false}],"preferred":false,"id":850354,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dodds, Walter K.","contributorId":19419,"corporation":false,"usgs":true,"family":"Dodds","given":"Walter K.","affiliations":[],"preferred":false,"id":850347,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Jones, C. Nathan","contributorId":295982,"corporation":false,"usgs":false,"family":"Jones","given":"C. Nathan","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":850346,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mimms, Meryl","contributorId":295998,"corporation":false,"usgs":false,"family":"Mimms","given":"Meryl","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":850360,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Franklin, Catherin","contributorId":295985,"corporation":false,"usgs":false,"family":"Franklin","given":"Catherin","email":"","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":850348,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":850353,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zipper, Samuel 0000-0002-8735-5757","orcid":"https://orcid.org/0000-0002-8735-5757","contributorId":225160,"corporation":false,"usgs":false,"family":"Zipper","given":"Samuel","email":"","affiliations":[{"id":41056,"text":"Kansas Geological Survey, University of Kansas, Lawrence KS 66047, USA","active":true,"usgs":false}],"preferred":false,"id":850350,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ward, Adam S","contributorId":191363,"corporation":false,"usgs":false,"family":"Ward","given":"Adam","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":850352,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Costigan, Katie H.","contributorId":166700,"corporation":false,"usgs":false,"family":"Costigan","given":"Katie H.","affiliations":[],"preferred":false,"id":850359,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Beck, Hylke","contributorId":295993,"corporation":false,"usgs":false,"family":"Beck","given":"Hylke","affiliations":[{"id":37958,"text":"University of Amsterdam","active":true,"usgs":false}],"preferred":false,"id":850355,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":850341,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70230940,"text":"70230940 - 2022 - Plant community context controls short- vs. medium-term effects of pre-emergent herbicides on target and non-target species after fire","interactions":[],"lastModifiedDate":"2022-06-01T15:26:15.677087","indexId":"70230940","displayToPublicDate":"2022-04-25T07:19:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":849,"text":"Applied Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Plant community context controls short- vs. medium-term effects of pre-emergent herbicides on target and non-target species after fire","docAbstract":"<p><strong>Questions:</strong><span>&nbsp;</span>Selective herbicide application is a common restoration strategy to control exotic invaders that interfere with native plant recovery after wildfire. Whether spraying with preemergent or bioherbicides releases native plants from competition with exotics (“spray-and-release” strategy) and can make communities resistant to re-invasion by exotic annual grasses (e.g., cheatgrass, medusahead), without risks to non-target native plants or secondary invasion, is a major question for land managers of semiarid plant communities.</p><p><strong>Location:</strong><span>&nbsp;</span>Sagebrush steppe of southwest Idaho, USA</p><h3 id=\"avsc12662-sec-0002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We applied chemical herbicides (imazapic, rimsulfuron) and weed-suppressive bacteria (<i>Pseudomonas fluorescens</i>&nbsp;strains MB906 and D7) to three sagebrush-steppe communities after fire.We measured plant cover prior to burning and for four years (five for exotic annual grasses) post-treatment.</p><h3 id=\"avsc12662-sec-0003-title\" class=\"article-section__sub-title section1\">Results</h3><p>Both chemical herbicides significantly reduced exotic annual grass cover in all communities in the first post-spraying year, but rimsulfuron plots were re-invaded after 1-2 years, while imazapic plots continued to resist re-invasion 4 and even 5 years post-spraying, well after the herbicide should have degraded. We did not detect any increase in native perennial grass cover with either herbicide, and herbicides had both positive and negative effects on individual bunchgrass basal diameter, depending on species and plant community. Rimsulfuron was more damaging than imazapic to shallow-rooted perennial bunchgrasses. Moss and lichen cover, key components of soil integrity, increased with chemical herbicide treatments in some communities. Both herbicides increased secondary invaders (exotic forbs or grasses), which varied by plant community and herbicide. Weed-suppressive bacteria treatments had no significant effects on cover of any functional group.</p><h3 id=\"avsc12662-sec-0004-title\" class=\"article-section__sub-title section1\">Conclusions</h3><p>While short-term effects of chemical herbicides that target exotic annual grasses were relatively consistent and predictable, longer-term effects were specific to the herbicide and plant community. The “spray and release” strategy may confer resistance to re-invasion by exotic annual grasses if herbicides prevent re-invasion for an extended period.</p>","language":"English","publisher":"Wiley","doi":"10.1111/avsc.12662","usgsCitation":"Lazarus, B., and Germino, M., 2022, Plant community context controls short- vs. medium-term effects of pre-emergent herbicides on target and non-target species after fire: Applied Vegetation Science, v. 25, no. 2, e12662, 17 p., https://doi.org/10.1111/avsc.12662.","productDescription":"e12662, 17 p.","ipdsId":"IP-131185","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":435866,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97IZJXL","text":"USGS data release","linkHelpText":"Pre and post treatment (2016-2021) vegetation cover for three southwest Idaho sites treated with pre-emergent herbicides after fire"},{"id":399887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.01263427734374,\n              43.177141346631714\n            ],\n            [\n              -115.84533691406249,\n              43.177141346631714\n            ],\n            [\n              -115.84533691406249,\n              43.79488907226601\n            ],\n            [\n              -117.01263427734374,\n              43.79488907226601\n            ],\n            [\n              -117.01263427734374,\n              43.177141346631714\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Lazarus, Brynne E. 0000-0002-6352-486X","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":242732,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":841684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":841685,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70230744,"text":"fs20223021 - 2022 - Washington and Landsat","interactions":[],"lastModifiedDate":"2023-01-24T16:57:48.188297","indexId":"fs20223021","displayToPublicDate":"2022-04-25T06:53:27","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3021","displayTitle":"Washington and Landsat","title":"Washington and Landsat","docAbstract":"<p>Washington is a State of untamed wonders, from its ruggedly beautiful coastline to the volcanic peaks of the Cascades. “The Evergreen State” is also a State of contrasts, home to rainforests west of the Cascades and deserts to the east. Half of Washington is forested, and its orchards grow more than one-half of the apples sold in the United States. Rivers are important to the State, particularly the Columbia River, the largest North American river that flows into the Pacific Ocean. Dozens of dams have been constructed in the river basin, including the largest hydroelectric producer in the Nation, the Grand Coulee Dam.</p><p>Washington’s diverse landscapes also change in various ways over time. Some are relatively steady, like urban expansion in the populous Puget Sound region. Others can be sudden, like the Mount Saint Helens eruption in 1980—one of the largest volcanic eruptions that caused the largest landslide in U.S. history. Although landscape change may be hard to detect at any one time, the Landsat program provides an objective view of it over decades. Landsat not only allows one to see what Mount Saint Helens looked like before and after the eruption, but also how the area has evolved since.</p><p>Here are a few examples of how Landsat benefits Washington.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223021","usgsCitation":"U.S. Geological Survey, 2022, Washington and Landsat (ver. 1.1, January 2023): U.S. Geological Survey Fact Sheet 2022–3021, 2 p., https://doi.org/10.3133/fs20223021.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-134319","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":399661,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223021/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 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 \"}}]}","edition":"Version 1.0: April 25, 2022; Version 1.1: January 24, 2023","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a> <br>U.S. Geological Survey <br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Tracking Mount Saint Helens’ Recovery</li><li>Monitoring Landscapes and Habitats</li><li>Assessing the Aftermath of Fires</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-04-25","revisedDate":"2023-01-24","noUsgsAuthors":false,"publicationDate":"2022-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":147999,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":841274,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70231218,"text":"70231218 - 2022 - Interaction between climate and tectonics in the northern Lesser Antilles inferred from the last interglacial shoreline on Barbuda island","interactions":[],"lastModifiedDate":"2022-05-03T11:41:00.842171","indexId":"70231218","displayToPublicDate":"2022-04-24T06:38:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Interaction between climate and tectonics in the northern Lesser Antilles inferred from the last interglacial shoreline on Barbuda island","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>In the context of increasing evidence of plate interface coupling variability in subduction zones, there is a need to extend the short time window given by instrumental data and to gather data over multiple time and spatial scales. We hence investigated the long-term topography on Barbuda island, located in the northern part of the Lesser Antilles, west of the Caribbean subduction zone. Following pioneering work using a set of marine terraces on the eastern side of the island, we performed the first U-Th dating on 10 corals in growth position from the lowest terrace, for which the highest relative sea-level (RSL) indicator is found at 9&nbsp;±&nbsp;1&nbsp;m above the mean sea level. We find that this terrace corresponds to the Last Interglacial (LIG) (ages between 122.8&nbsp;±&nbsp;0.3&nbsp;ka and 128.1&nbsp;±&nbsp;0.3&nbsp;ka) and we estimate a paleo RSL of 7&nbsp;±&nbsp;2&nbsp;m above the current mean sea level. The present elevation of the LIG shoreline on Barbuda might imply tectonics as an additional mechanism to eustatic sea level, mantle dynamic topography and glacial isostatic adjustment. East-west morphological asymmetry of Barbuda and difference in LIG shoreline elevation between Barbuda and Antigua suggest a regional tectonic process. As with the proposed westward tilting from the forearc to the volcanic arc of the Guadeloupe archipelago, vertical deformation on Barbuda could be related to plate-scale subduction processes. Long-term uplift of Barbuda might be related to the accumulation of residual coseismic deformation not fully recovered by interseismic subsidence and the corresponding seismogenic segment would extend below the Moho.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GC010045","usgsCitation":"Weil-Accardo, J., Feuillet, N., Philibosian, B.E., Guihou, A., Jacques, E., Cabioch, G., Anglade, A., Meriaux, A., and Deschamps, P., 2022, Interaction between climate and tectonics in the northern Lesser Antilles inferred from the last interglacial shoreline on Barbuda island: Geochemistry, Geophysics, Geosystems, v. 23, no. 5, e2021GC010045, 24 p., https://doi.org/10.1029/2021GC010045.","productDescription":"e2021GC010045, 24 p.","ipdsId":"IP-125519","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":448028,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021gc010045","text":"External Repository"},{"id":400020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Northern Lesser Antilles","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -62.7978515625,\n              13.068776734357694\n            ],\n            [\n              -59.3701171875,\n              13.068776734357694\n            ],\n            [\n              -59.3701171875,\n              17.811456088564483\n            ],\n            [\n              -62.7978515625,\n              17.811456088564483\n            ],\n            [\n              -62.7978515625,\n              13.068776734357694\n            ]\n          ]\n        ]\n      }\n    }\n  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,{"id":70241548,"text":"70241548 - 2022 - Globally, tree fecundity exceeds productivity gradients","interactions":[],"lastModifiedDate":"2023-03-23T15:09:43.19082","indexId":"70241548","displayToPublicDate":"2022-04-23T09:58:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Globally, tree fecundity exceeds productivity gradients","docAbstract":"<p><span>Lack of tree fecundity data across climatic gradients precludes the analysis of how seed supply contributes to global variation in forest regeneration and biotic interactions responsible for biodiversity. A global synthesis of raw seedproduction data shows a 250-fold increase in seed abundance from cold-dry to warm-wet climates, driven primarily by a 100-fold increase in seed production for a given tree size. The modest (threefold) increase in forest productivity across the same climate gradient cannot explain the magnitudes of these trends. The increase in seeds per tree can arise from adaptive evolution driven by intense species interactions or from the direct effects of a warm, moist climate on tree fecundity. Either way, the massive differences in seed supply ramify through food webs potentially explaining a disproportionate role for species interactions in the wet tropics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.14012","usgsCitation":"Journe, V., Andrus, R.A., Aravena Acuna, M., Ascoli, D., Berretti, R., Berveiller, D., Bogdziewicz, M., Boivin, T., Bonal, R., Caignard, T., Calama, R., Camarero, J.J., Chang-Yang, C., Courbaud, B., Courbet, F., Curt, T., Das, A., Daskalakou, E., Davi, H., Delpierre, N., Delzon, S., Dietze, M., Calderon, S.D., Dormont, L., Espelta, J.M., Fahey, T.J., Farfan-Rios, W., Gehring, C.A., Gilbert, G.S., Gratzer, G., Greenberg, C.H., Guo, Q., Hacket-Pain, A., Hampe, A., Han, Q., Lambers, J., Hoshizaki, K., Ibanez, I., Johnstone, J.F., Kabeya, D., Kays, R., Kitzberger, T., Knops, J., Kobe, R.K., Kunstler, G., Lageard, J.G., LaMontagne, J., Leininger, T., Limousin, J., Lutz, J.A., Macias, D., McIntire, E.J., Moore, C.M., Moran, E.V., Motta, R., Myers, J.A., Nagel, T.A., Noguchi, K., Ourcival, J., Parmenter, R., Pearse, I., Perez-Ramos, I., Piechnik, L., Poulsen, J., Poulton-Kamakura, R., Qiu, T., Redmond, M.D., Reid, C.D., Rodman, K., Rodriguez-Sanchez, F., Sanguinetti, J.D., Scher, C.L., Schmidt Van Marle, H., Seget, B., Sharma, S., Silman, M., Steele, M.A., Stephenson, N.L., Straub, J.N., Swenson, J.J., Swift, M., Thomas, P., Uriarte, M., Vacchiano, G., Veblen, T.T., Whipple, A.V., Whitham, T.G., Wright, B., Wright, S.J., Zhu, K., Zimmerman, J.K., Zlotin, R., Zywiec, M., and Clark, J.S., 2022, Globally, tree fecundity exceeds productivity gradients: Ecology Letters, v. 25, no. 6, p. 1471-1482, https://doi.org/10.1111/ele.14012.","productDescription":"12 p.","startPage":"1471","endPage":"1482","ipdsId":"IP-139920","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":448035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70254825,"text":"70254825 - 2022 - A suction pump sampler for invertebrate drift detects exceptionally high concentrations of small invertebrates that drift nets miss","interactions":[],"lastModifiedDate":"2024-06-11T20:41:35.813266","indexId":"70254825","displayToPublicDate":"2022-04-22T15:34:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"A suction pump sampler for invertebrate drift detects exceptionally high concentrations of small invertebrates that drift nets miss","docAbstract":"Invertebrate drift is a key process in riverine ecosystems controlling aquatic invertebrate movement, distribution, and availability to fish as prey. However, accurately sampling drift across a wide range of invertebrate sizes is difficult because small invertebrates slip through coarse-mesh drift nets, and fine mesh clogs more easily, which reduces filtration efficiency and measurement accuracy. To avoid this limiting tradeoff, we developed a gas-powered drift pump which pours 20 m3/hour of river water through nested 80- and 750-m nets suspended in the air, and we tested it against a conventional 250-m drift net during low and high flows in a clearwater Alaskan river. The drift pump detected a geometric mean drift concentration of 467 invertebrates m-3 and maximum of 5637 m-3, eleven times the mean concentration of 42 m-3 from the drift net. Invertebrates  3 mm length, primarily chironomids, comprised the entire difference. Studies in which the drift of 0.5 – 3 mm invertebrates might be relevant, such as foraging models investigating the growth of juvenile drift-feeding fishes, should consider using similar methods to quantify small invertebrate drift, lest they underestimate it by an order of magnitude.","language":"English","publisher":"Springer","doi":"10.1007/s10750-022-04849-1","usgsCitation":"Neuswanger, J., Schoen, E.R., Wipfli, M.S., Volk, C.J., and Savereide, J.W., 2022, A suction pump sampler for invertebrate drift detects exceptionally high concentrations of small invertebrates that drift nets miss: Hydrobiologia, v. 849, p. 2077-2089, https://doi.org/10.1007/s10750-022-04849-1.","productDescription":"13 p.","startPage":"2077","endPage":"2089","ipdsId":"IP-132981","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chena River","volume":"849","noUsgsAuthors":false,"publicationDate":"2022-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Neuswanger, Jason R.","contributorId":337745,"corporation":false,"usgs":false,"family":"Neuswanger","given":"Jason R.","affiliations":[{"id":81040,"text":"South Fork Research, Inc","active":true,"usgs":false}],"preferred":false,"id":902649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoen, Erik R.","contributorId":184107,"corporation":false,"usgs":false,"family":"Schoen","given":"Erik","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":902650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Volk, Carol J.","contributorId":337746,"corporation":false,"usgs":false,"family":"Volk","given":"Carol","email":"","middleInitial":"J.","affiliations":[{"id":81040,"text":"South Fork Research, Inc","active":true,"usgs":false}],"preferred":false,"id":902651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Savereide, James W.","contributorId":204591,"corporation":false,"usgs":false,"family":"Savereide","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":902652,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70232543,"text":"70232543 - 2022 - A framework to integrate innovations in invasion science for proactive management","interactions":[],"lastModifiedDate":"2022-07-06T18:10:52.919742","indexId":"70232543","displayToPublicDate":"2022-04-22T14:10:01","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A framework to integrate innovations in invasion science for proactive management","docAbstract":"<p>Invasive alien species (IAS) are a rising threat to biodiversity, national security, and regional economies, with impacts in the hundreds of billions of U.S. dollars annually. Proactive or predictive approaches guided by scientific knowledge are essential to keeping pace with growing impacts of invasions under climate change. Although the rapid development of diverse technologies and approaches has produced tools with the potential to greatly accelerate invasion research and management, innovation has far outpaced implementation and coordination. Technological and methodological syntheses are urgently needed to close the growing implementation gap and facilitate interdisciplinary collaboration and synergy among evolving disciplines. A broad review is necessary to demonstrate the utility and relevance of work in diverse fields to generate actionable science for the ongoing invasion crisis. Here, we review such advances in relevant fields including remote sensing, epidemiology, big data analytics, environmental DNA (eDNA) sampling, genomics, and others, and present a generalized framework for distilling existing and emerging data into products for proactive IAS research and management. This integrated workflow provides a pathway for scientists and practitioners in diverse disciplines to contribute to applied invasion biology in a coordinated, synergistic, and scalable manner.</p>","language":"English","publisher":"Cambridge Philosophical Society","doi":"10.1111/brv.12859","usgsCitation":"van Rees, C.B., Hand, B., Carter, S.C., Bargeron, C., Cline, T.J., Daniel, W., Ferrante, J.A., Gaddis, K., Hunter, M.E., Jarnevich, C.S., McGeoch, M.A., Morisette, J., Neilson, M.E., Roy, H.E., Rozance, M.A., Sepulveda, A., Wallace, R.D., Whited, D., Wilcox, T., Kimball, J.S., and Luikart, G., 2022, A framework to integrate innovations in invasion science for proactive management: Biological Reviews, v. 97, no. 4, p. 1712-1735, https://doi.org/10.1111/brv.12859.","productDescription":"24 p.","startPage":"1712","endPage":"1735","ipdsId":"IP-129855","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science 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jferrante@usgs.gov","orcid":"https://orcid.org/0000-0003-3453-4636","contributorId":201638,"corporation":false,"usgs":true,"family":"Ferrante","given":"Jason","email":"jferrante@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":845903,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gaddis, Keith","contributorId":270020,"corporation":false,"usgs":false,"family":"Gaddis","given":"Keith","email":"","affiliations":[],"preferred":false,"id":845904,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":140622,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","email":"mhunter@usgs.gov","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":845905,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":845906,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McGeoch, Melodie A. 0000-0003-3388-2241","orcid":"https://orcid.org/0000-0003-3388-2241","contributorId":292839,"corporation":false,"usgs":false,"family":"McGeoch","given":"Melodie","email":"","middleInitial":"A.","affiliations":[{"id":63040,"text":"Dept. of Ecology, Environment and Evolution, School of Life Sciences, La Trobe University, Melbourne, Australia","active":true,"usgs":false}],"preferred":false,"id":845907,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Morisette, Jeffrey T.","contributorId":219733,"corporation":false,"usgs":false,"family":"Morisette","given":"Jeffrey T.","affiliations":[{"id":40056,"text":"National Invasive Species Council","active":true,"usgs":false}],"preferred":false,"id":845908,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Neilson, Matthew E. 0000-0002-5139-5677 mneilson@usgs.gov","orcid":"https://orcid.org/0000-0002-5139-5677","contributorId":167677,"corporation":false,"usgs":true,"family":"Neilson","given":"Matthew","email":"mneilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":845909,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Roy, Helen E. 0000-0001-6050-679X","orcid":"https://orcid.org/0000-0001-6050-679X","contributorId":292840,"corporation":false,"usgs":false,"family":"Roy","given":"Helen","email":"","middleInitial":"E.","affiliations":[{"id":51971,"text":"UK Centre for Ecology & Hydrology","active":true,"usgs":false}],"preferred":false,"id":845910,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rozance, Mary Ann 0000-0002-8088-906X","orcid":"https://orcid.org/0000-0002-8088-906X","contributorId":292841,"corporation":false,"usgs":false,"family":"Rozance","given":"Mary","email":"","middleInitial":"Ann","affiliations":[{"id":63041,"text":"Northwest Climate Adaptation Science Center","active":true,"usgs":false}],"preferred":false,"id":845911,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":845912,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wallace, Rebekah D. 0000-0001-7293-6818","orcid":"https://orcid.org/0000-0001-7293-6818","contributorId":292842,"corporation":false,"usgs":false,"family":"Wallace","given":"Rebekah","email":"","middleInitial":"D.","affiliations":[{"id":63039,"text":"Center for Invasive Species and Ecosystem Health, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":845913,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Whited, Diane","contributorId":126718,"corporation":false,"usgs":false,"family":"Whited","given":"Diane","affiliations":[{"id":6576,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":845914,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Wilcox, Taylor","contributorId":152363,"corporation":false,"usgs":false,"family":"Wilcox","given":"Taylor","email":"","affiliations":[{"id":18916,"text":"U.S. Department of Agriculture, Forest Service, National Genomics Center for Wildlife and Fish Conservation, Rocky Mountain Research Station, Missoula, MT 59801 USA","active":true,"usgs":false}],"preferred":false,"id":845915,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kimball, John S. 0000-0002-5493-5878","orcid":"https://orcid.org/0000-0002-5493-5878","contributorId":244377,"corporation":false,"usgs":false,"family":"Kimball","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":48908,"text":"U Montana","active":true,"usgs":false}],"preferred":false,"id":845916,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Luikart, Gordon","contributorId":97409,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":845917,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70256688,"text":"70256688 - 2022 - Defining oyster resource zones across coastal Louisiana for restoration and aquaculture","interactions":[],"lastModifiedDate":"2024-08-30T16:16:03.768478","indexId":"70256688","displayToPublicDate":"2022-04-22T11:06:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"Defining oyster resource zones across coastal Louisiana for restoration and aquaculture","docAbstract":"<p><span>Eastern oysters&nbsp;(</span><i>Crassostrea virginica</i><span>) are a critical ecological and commercial resource in the northern&nbsp;Gulf of Mexico&nbsp;facing changing environmental conditions from river management and&nbsp;climate change. In Louisiana,&nbsp;USA, development of restored reefs, and off-bottom aquaculture would benefit from the identification of locations supportive of sustainable oyster populations (</span><i>i.e.,</i><span>&nbsp;metapopulations) and high consistent production. This study defines four oyster resource zones across coastal Louisiana based on environmental conditions known to affect oyster survival, growth, and reproduction. Daily data from 2015 to 2019 were interpolated to generate&nbsp;salinity&nbsp;and temperature profiles across Louisiana's&nbsp;estuaries, which were then used to classify zones based on monthly and annual&nbsp;salinity&nbsp;mean and variance. Zones were classified as supportive of (1)&nbsp;broodstock&nbsp;sanctuary reefs (i.e., support reproductive populations), (2) productive reefs during dry (salty) years, (3) productive reefs during wet (fresh) years, and (4) off-bottom aquaculture development. Of the 38,000&nbsp;km</span><sup>2</sup><span>&nbsp;investigated, over 11,000&nbsp;km</span><sup>2</sup><span>&nbsp;of potential oyster zone area was identified across the Louisiana coast. The Broodstock Sanctuary Zone was the smallest (∼540&nbsp;km</span><sup>2</sup><span>), as salinity variance limited this zone in many areas, as it is driven largely by riverine inputs across many&nbsp;estuaries. Located up-estuary (Dry Restoration Zone) and down-estuary (Wet Restoration Zone) of the Broodstock Sanctuary Zone, Dry and Wet Restoration Zone areas covered ∼2400&nbsp;km</span><sup>2</sup><span>&nbsp;and ∼3900&nbsp;km</span><sup>2</sup><span>, respectively. Mapped reefs in Louisiana currently exist largely within the Dry Restoration zones, suggesting a potential strategy to focus reef development in Wet Restoration zones to ensure reef network&nbsp;sustainability&nbsp;through years with high precipitation and river inflow. The off-bottom Aquaculture Zone was the largest (∼6400&nbsp;km</span><sup>2</sup><span>) zone identified, with much of this area located more down-estuary and off-shore. Accounting for variable water quality conditions enables the development of a network of reefs resilient to environmental variability, and more stable areas for consistent off-bottom&nbsp;aquaculture production. Spatial planning and identification of oyster resource zones reduces focus on individual reef success and supports management of oyster metapopulation outcomes, while identifying zones supportive of off-bottom aquaculture.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2022.106178","usgsCitation":"Swam, L.M., Couvillion, B., Callam, B., La Peyre, J., and La Peyre, M., 2022, Defining oyster resource zones across coastal Louisiana for restoration and aquaculture: Ocean and Coastal Management, v. 225, 106178, 11 p., https://doi.org/10.1016/j.ocecoaman.2022.106178.","productDescription":"106178, 11 p.","ipdsId":"IP-134836","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499824,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/animalsciences_pubs/2261","text":"External Repository"},{"id":433380,"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        \"coordinates\": [\n          [\n            [\n              -89.28531382800476,\n              30.084673161811594\n            ],\n            [\n              -89.8627113518053,\n              30.384080583724042\n            ],\n            [\n              -90.30515265860349,\n              30.512183704575193\n            ],\n            [\n              -90.81872980801528,\n              30.23163703531037\n            ],\n            [\n              -91.21166619938886,\n              30.068757329434987\n            ],\n            [\n              -93.742248457641,\n              30.376322644227812\n            ],\n            [\n              -93.94164092204788,\n              29.613593061579024\n            ],\n            [\n              -92.27979250199853,\n              29.44209715796825\n            ],\n            [\n              -91.10243386209395,\n              29.085644613779976\n            ],\n            [\n              -89.98832868271369,\n              28.980943971169282\n            ],\n            [\n              -88.89450433276538,\n              28.983731357632564\n            ],\n            [\n              -89.28531382800476,\n              30.084673161811594\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"225","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Swam, Lauren M.","contributorId":341585,"corporation":false,"usgs":false,"family":"Swam","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couvillion, Brady 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":222810,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":908656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callam, Brian","contributorId":341586,"corporation":false,"usgs":false,"family":"Callam","given":"Brian","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Jerome F.","contributorId":341587,"corporation":false,"usgs":false,"family":"La Peyre","given":"Jerome F.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908658,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908655,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70232211,"text":"70232211 - 2022 - Golden Eagle (Aquila chysaetos)","interactions":[],"lastModifiedDate":"2022-06-28T16:02:50.008235","indexId":"70232211","displayToPublicDate":"2022-04-22T10:56:50","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","displayTitle":"Golden Eagle (<i>Aquila chysaetos</i>)","title":"Golden Eagle (Aquila chysaetos)","docAbstract":"<p>The golden eagle (<i>Aquila chrysaetos</i>) is commonly recognized as an indicator of ecosystem health and was selected as an important indicator species for the ecological health of lands owned and managed by East Bay Stewardship Network (Network) partner agencies within the area of focus for this project (See map, Chapter 1). Based on national conservation goals and past and current golden eagle research in the area of focus, the desired condition and trend for this indicator species are to: (1) maintain or improve site occupancy by territorial pairs (i.e., the proportion of sites surveyed with at least 1 pair of eagles), (2) maximize reproductive rate (i.e., the proportion of sites surveyed with at least 1 pair of productive eagles), and (3) minimize the occurrence of territorial subadults in the local breeding population. The condition and trend in these three primary metrics were assessed for golden eagles in the area of focus using data from a large-scale demographic study conducted in 2014–2021 by the U.S. Geological Survey (USGS) and others. Overall, we found a condition of “caution” and an “unchanging” trend for golden eagles in the area of focus. Analyses of site occupancy and reproductive rate indicated that the local breeding population was unchanging (i.e., no evidence of increasing or decreasing time trends in these metrics during 2014–2021). However, a consistently high occurrence of territorial subadults (22%–35%) has been observed at breeding territories near the Altamont Pass Wind Resource Area (APWRA) relative to occupied territories monitored in surrounding regions (~3%). The heightened occurrence of territorial subadults suggested a possible increase in the adult mortality rate of territorial eagles occupying the Mt. Diablo Range and Mt. Hamilton subregions in the area of focus. Thus, although no trends were detected in site occupancy or reproductive rate, caution is warranted given the high observed frequency of territorial subadults, which was predominately associated with pairs monitored near the APWRA. The USGS golden eagle study was conducted during a period of prolonged and severe drought in the area of focus, which has been shown elsewhere to reduce the reproductive rate of golden eagles. Although we detected no trends in reproductive rate, we identified a condition of “caution” for this metric in the area of focus given that annual estimates were relatively low during the study period, which primarily included years of severe drought conditions in west-central California. A primary goal of the analysis was to provide a benchmark against which managers can measure future changes and understand the likely trajectory of this species. Baseline data and analyses provided here can be used to identify projects that could help support golden eagle conservation. Given the constraint of using only existing and available data, this evaluation also identified areas where not enough was known to draw meaningful conclusions. Gaps in our understanding include the long-term effects of repeated, extreme climate events (e.g., drought and wildfire) on golden eagle demographics and population sustainability, refined estimates of eagle survivorship and sources of mortality, and whether the APWRA represents a population sink for golden eagles within the northern Diablo Range and surrounding regions. These are described as data gaps at the end of this chapter and may be areas to focus on for future research and collaborations among land managers.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"NatureCheck: Understanding wildlife health on East Bay lands in Alameda and Contra Costa Counties","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"East Bay Stewardship Network","usgsCitation":"Wiens, D., Kolar, P., and Bell, D.A., 2022, Golden Eagle (Aquila chysaetos), chap. 8 <i>of</i> NatureCheck: Understanding wildlife health on East Bay lands in Alameda and Contra Costa Counties, p. 211-244.","productDescription":"34 p.","startPage":"211","endPage":"244","ipdsId":"IP-137929","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":402603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":402602,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.ebparks.org/natural-resources/biodiversity/wildlife"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wiens, David 0000-0002-2020-038X","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":267230,"corporation":false,"usgs":true,"family":"Wiens","given":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":844658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolar, Patrick 0000-0002-0076-7565 pkolar@usgs.gov","orcid":"https://orcid.org/0000-0002-0076-7565","contributorId":189512,"corporation":false,"usgs":true,"family":"Kolar","given":"Patrick","email":"pkolar@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Douglas A.","contributorId":292466,"corporation":false,"usgs":false,"family":"Bell","given":"Douglas","email":"","middleInitial":"A.","affiliations":[{"id":24634,"text":"East Bay Regional Park District","active":true,"usgs":false}],"preferred":false,"id":844660,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70241565,"text":"70241565 - 2022 - A novel herpesvirus detected in 3 different species of chelonians","interactions":[],"lastModifiedDate":"2023-03-23T14:57:45.866739","indexId":"70241565","displayToPublicDate":"2022-04-22T09:52:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2492,"text":"Journal of Veterinary Diagnostic Investigation","active":true,"publicationSubtype":{"id":10}},"title":"A novel herpesvirus detected in 3 different species of chelonians","docAbstract":"<p><span>Herpesviruses are found in free-living and captive chelonian populations, often in association with morbidity and mortality. To date, all known chelonian herpesviruses fall within the subfamily&nbsp;</span><i>Alphaherpesvirinae</i><span>. We detected a novel herpesvirus in 3 species of chelonians: a captive leopard tortoise (</span><i>Stigmochelys pardalis</i><span>) in western TX, USA; a steppe tortoise (</span><i>Testudo</i><span>&nbsp;[</span><i>Agrionemys</i><span>]&nbsp;</span><i>horsfieldii</i><span>) found near Fort Irwin, CA, USA; and 2 free-living, three-toed box turtles (</span><i>Terrapene mexicana triunguis</i><span>) found in Forest Park, St. Louis, MO. The leopard tortoise was coinfected with the tortoise intranuclear coccidian and had clinical signs of upper respiratory tract disease. The steppe tortoise had mucopurulent nasal discharge and lethargy. One of the three-toed box turtles had no clinical signs; the other was found dead with signs of trauma after being observed with blepharedema, tympanic membrane swelling, cervical edema, and other clinical signs several weeks prior to death. Generally, the branching order of the turtle herpesviruses mirrors the divergence patterns of their hosts, consistent with codivergence. Based on phylogenetic analysis, this novel herpesvirus clusters with a clade of viruses that infect emydid hosts and is likely of box turtle origin. Therefore, we suggest the name terrapene alphaherpesvirus 3 (TerAHV3) for the novel virus. This virus also has the ability to host-jump to tortoises, and previously documented herpesviral morbidity tends to be more common in aberrant hosts. The relationship between clinical signs and infection with TerAHV3 in these animals is unclear, and further investigation is merited.</span></p>","language":"English","publisher":"American Association of Veterinary Laboratory Diagnosticians","doi":"10.1177/10406387221092048","usgsCitation":"Winter, J.M., Wellehan, J., Apakupakul, K., Palmer, J., Brenn-White, M., Standorf, K., Berry, K.H., Childress, A.L., Koplos, P., Garner, M.M., and Deem, S.L., 2022, A novel herpesvirus detected in 3 different species of chelonians: Journal of Veterinary Diagnostic Investigation, v. 34, no. 4, p. 594-601, https://doi.org/10.1177/10406387221092048.","productDescription":"8 p.","startPage":"594","endPage":"601","ipdsId":"IP-133654","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":448040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9266504","text":"Publisher Index Page"},{"id":414617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Winter, John M.","contributorId":303355,"corporation":false,"usgs":false,"family":"Winter","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":867331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wellehan, James F. X.","contributorId":303357,"corporation":false,"usgs":false,"family":"Wellehan","given":"James F. X.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":867332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Apakupakul, Kathleen","contributorId":303360,"corporation":false,"usgs":false,"family":"Apakupakul","given":"Kathleen","email":"","affiliations":[{"id":65777,"text":"Saint Louis Zoo","active":true,"usgs":false}],"preferred":false,"id":867333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palmer, Jamie","contributorId":303362,"corporation":false,"usgs":false,"family":"Palmer","given":"Jamie","email":"","affiliations":[{"id":65777,"text":"Saint Louis Zoo","active":true,"usgs":false}],"preferred":false,"id":867334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenn-White, Maris","contributorId":302101,"corporation":false,"usgs":false,"family":"Brenn-White","given":"Maris","email":"","affiliations":[{"id":65410,"text":"University of California, Karen C. Drayer Wildlife Health Center, School of Veterinary Medicine, 1 Shields Avenue, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":867335,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Standorf, Kali","contributorId":303363,"corporation":false,"usgs":false,"family":"Standorf","given":"Kali","email":"","affiliations":[{"id":65780,"text":"THRIVE Affordable Vet Care, Jacksonville, FL","active":true,"usgs":false}],"preferred":false,"id":867336,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867337,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Childress, April L.","contributorId":220005,"corporation":false,"usgs":false,"family":"Childress","given":"April","email":"","middleInitial":"L.","affiliations":[{"id":40111,"text":"Department of Comparative, Diagnostic, and Population Medicine, College of Veterinary Medicine University of Florida, Gainesville, FL, USA","active":true,"usgs":false}],"preferred":false,"id":867338,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Koplos, Pete","contributorId":303364,"corporation":false,"usgs":false,"family":"Koplos","given":"Pete","email":"","affiliations":[{"id":65781,"text":"El Paso Veterinary Specialty Center El Paso, TX","active":true,"usgs":false}],"preferred":false,"id":867339,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Garner, Michael M.","contributorId":303365,"corporation":false,"usgs":false,"family":"Garner","given":"Michael","email":"","middleInitial":"M.","affiliations":[{"id":65782,"text":"Northwest ZooPath, Monroe, WA","active":true,"usgs":false}],"preferred":false,"id":867340,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Deem, Sharon L.","contributorId":139277,"corporation":false,"usgs":false,"family":"Deem","given":"Sharon","email":"","middleInitial":"L.","affiliations":[{"id":12719,"text":"Whitney R. Harris, World Ecology Center, Uni. of Missouri St. Louis","active":true,"usgs":false}],"preferred":false,"id":867341,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70239155,"text":"70239155 - 2022 - Final Report: Predicting impacts to mule deer of changing forage using landscape surface phenology metrics","interactions":[],"lastModifiedDate":"2023-01-10T15:40:27.709115","indexId":"70239155","displayToPublicDate":"2022-04-22T09:38:21","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Final Report: Predicting impacts to mule deer of changing forage using landscape surface phenology metrics","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"North Central Climate Adaptation Science Center","usgsCitation":"Graves, T., 2022, Final Report: Predicting impacts to mule deer of changing forage using landscape surface phenology metrics, 11 p.","productDescription":"11 p.","ipdsId":"IP-128240","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":411631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":411630,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f83509de4b0e84f60868124/6262ca9cd34e85fa62bb4036","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.26525764513607,\n              48.72070172822782\n            ],\n            [\n              -123.61273609132917,\n              48.72070172822782\n            ],\n            [\n              -123.61273609132917,\n              32.23257810347039\n            ],\n            [\n              -104.26525764513607,\n              32.23257810347039\n            ],\n            [\n              -104.26525764513607,\n              48.72070172822782\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":860612,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70261243,"text":"70261243 - 2022 - Complex magmatic-tectonic interactions during the 2020 Makushin Volcano, Alaska, earthquake swarm","interactions":[],"lastModifiedDate":"2024-12-03T14:58:21.352545","indexId":"70261243","displayToPublicDate":"2022-04-22T08:51:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Complex magmatic-tectonic interactions during the 2020 Makushin Volcano, Alaska, earthquake swarm","docAbstract":"<p><span>On June 15, 2020, at 21:16 UTC, a locally-felt earthquake of magnitude 4.2 struck Unalaska Island, Alaska, ∼15 km west of the town of Unalaska and the large fishing port of Dutch Harbor. The event was followed by a M4.1 earthquake at 00:34 UTC and several M3+&nbsp;aftershocks, initiating a prolific sequence with hundreds of earthquakes recorded into late December. The earthquakes all locate about 12 km southeast of the summit of Makushin Volcano at 7 to 10 km depth. To date, no eruptive activity or other surface changes have been observed at the volcano in webcam images,&nbsp;GPS&nbsp;or InSAR. Seismic bursts close to volcanoes are often associated with the onset of unrest that can lead to eruption. However, determining whether&nbsp;seismicity&nbsp;reflects magmatic rather than tectonic stresses is often challenging, although critical for hazard assessments and risk management strategies. To investigate the triggering mechanisms of the recent Makushin seismicity, we integrate information from space-time patterns of the&nbsp;</span>earthquake hypocenters<span>&nbsp;with their fault-plane solutions. We relocate the swarm events using double-difference relocation techniques and a 3D velocity model and find that the earthquakes, although they seem to follow two predominant orientations (NW-SE and SW-NE), do not show clear clustering into preferred alignments. Similarly, we do not observe pronounced migration in time and space. Fault-plane solutions (FPS) for all but one M2.5+ earthquakes have P-axis orientations consistent with subhorizontal NW-SE oriented regional maximum compression, whereas many of the lower-magnitude earthquakes have P-axes perpendicular to regional maximum compression. This provides evidence for the presence of a local stress field likely induced by&nbsp;magma&nbsp;intrusion. Results from Coulomb stress modeling are also consistent with&nbsp;dike&nbsp;inflation modulated by stresses induced by the M4+ earthquakes. The seismic swarm is thus likely linked to a superposition of driving stresses from both magmatic and tectonic processes on pre-existing faults. The case of the 2020 Makushin swarm, with its unusual characteristics, challenges traditional swarm classification schemes and suggests that a reconsideration of the definition of seismic swarms as having the maximum magnitude event in the middle of the swarm is warranted.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2022.117538","usgsCitation":"Lanza, F., Roman, D., Power, J., Thurber, C.H., and Hudson, T., 2022, Complex magmatic-tectonic interactions during the 2020 Makushin Volcano, Alaska, earthquake swarm: Earth and Planetary Science Letters, v. 587, 117538, 15 p., https://doi.org/10.1016/j.epsl.2022.117538.","productDescription":"117538, 15 p.","ipdsId":"IP-133659","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467184,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2022.117538","text":"Publisher Index Page"},{"id":464693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Makushin Volcano, Unalaska Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -167.2315050527,\n              54.05473720557782\n            ],\n            [\n              -167.23895309684224,\n              53.72002593365127\n            ],\n            [\n              -166.40477215290903,\n              53.72002593365127\n            ],\n            [\n              -166.40849617498012,\n              54.05692319405895\n            ],\n            [\n              -167.2315050527,\n              54.05473720557782\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"587","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lanza, Federica","contributorId":346877,"corporation":false,"usgs":false,"family":"Lanza","given":"Federica","email":"","affiliations":[{"id":47716,"text":"Swiss Seismological Service","active":true,"usgs":false}],"preferred":false,"id":920087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roman, Diana","contributorId":237832,"corporation":false,"usgs":false,"family":"Roman","given":"Diana","affiliations":[{"id":47620,"text":"Dept. of Terrestrial Magnetism, Carnegie Institution for Science, Washington DC 20015","active":true,"usgs":false}],"preferred":false,"id":920088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Power, John 0000-0002-7233-4398","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":215240,"corporation":false,"usgs":true,"family":"Power","given":"John","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thurber, Clifford H. 0000-0002-4940-4618","orcid":"https://orcid.org/0000-0002-4940-4618","contributorId":73184,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","email":"","middleInitial":"H.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":920090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson, Thomas","contributorId":346881,"corporation":false,"usgs":false,"family":"Hudson","given":"Thomas","affiliations":[{"id":33126,"text":"University of Oxford, Oxford, UK","active":true,"usgs":false}],"preferred":false,"id":920091,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70259597,"text":"70259597 - 2022 - Integrating Earth–life systems: A geogenomic approach","interactions":[],"lastModifiedDate":"2024-10-16T12:09:25.931429","indexId":"70259597","displayToPublicDate":"2022-04-22T07:08:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5980,"text":"Trends in Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Integrating Earth–life systems: A geogenomic approach","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div id=\"sp0050\">For centuries, scientists have recognized and worked to understand how Earth’s mutable landscape and climate shape the distribution and evolution of species. Here, we describe the emerging field of geogenomics, which uses the reciprocal and deep integration of geologic, climatic, and population genomic data to define and test cause–effect relationships between Earth and life at intermediate spatial and temporal scales (i.e., the mesoscale). Technological advances now power the detailed reconstruction of landscape and evolutionary histories, but transdisciplinary collaborations and new quantitative tools are needed to better integrate Earth–life data. Geogenomics can help build a more unified theory and characterize the boundary conditions under which geologic and climatic processes generate new biodiversity, how species’ responses differ, and why.</div></div></div>","language":"English","publisher":"Cell Press","doi":"10.1016/j.tree.2021.12.004","usgsCitation":"Dolby, G.A., Bennett, S.E., Dorsey, R.J., Stokes, M., Riddle, B.R., Lira-Noriega, A., Munguia-Vega, A., and Wilder, B.T., 2022, Integrating Earth–life systems: A geogenomic approach: Trends in Ecology & Evolution, v. 37, no. 4, p. 371-384, https://doi.org/10.1016/j.tree.2021.12.004.","productDescription":"14 p.","startPage":"371","endPage":"384","ipdsId":"IP-131179","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467185,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tree.2021.12.004","text":"Publisher Index Page"},{"id":462906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dolby, Greer A. 0000-0002-5923-0690","orcid":"https://orcid.org/0000-0002-5923-0690","contributorId":222726,"corporation":false,"usgs":false,"family":"Dolby","given":"Greer","email":"","middleInitial":"A.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":915879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":915880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":915881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stokes, Maya","contributorId":345166,"corporation":false,"usgs":false,"family":"Stokes","given":"Maya","email":"","affiliations":[{"id":82506,"text":"Massachusetts Institute of Technology; Yale University","active":true,"usgs":false}],"preferred":false,"id":915882,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riddle, Brett R. 0000-0001-7321-6150","orcid":"https://orcid.org/0000-0001-7321-6150","contributorId":345167,"corporation":false,"usgs":false,"family":"Riddle","given":"Brett","email":"","middleInitial":"R.","affiliations":[{"id":33776,"text":"University of Nevada, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":915883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lira-Noriega, Andres 0000-0002-3219-0019","orcid":"https://orcid.org/0000-0002-3219-0019","contributorId":345168,"corporation":false,"usgs":false,"family":"Lira-Noriega","given":"Andres","email":"","affiliations":[{"id":82507,"text":"CONACyT Research Fellow, Red de Estudios Moleculares Avanzados, Instituto de Ecología","active":true,"usgs":false}],"preferred":false,"id":915884,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Munguia-Vega, Adrian","contributorId":337738,"corporation":false,"usgs":false,"family":"Munguia-Vega","given":"Adrian","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":915885,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilder, Benjamin T. 0000-0002-8593-4835","orcid":"https://orcid.org/0000-0002-8593-4835","contributorId":238807,"corporation":false,"usgs":false,"family":"Wilder","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":915886,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70231467,"text":"70231467 - 2022 - The North American Freshwater Migratory Fish Database (NAFMFD): Characterizing the migratory life histories of freshwater fishes of Canada, the United States and Mexico","interactions":[],"lastModifiedDate":"2023-06-09T13:47:17.198121","indexId":"70231467","displayToPublicDate":"2022-04-22T06:57:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"The North American Freshwater Migratory Fish Database (NAFMFD): Characterizing the migratory life histories of freshwater fishes of Canada, the United States and Mexico","docAbstract":"<h3 id=\"jbi14367-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Migratory freshwater fishes are those that must access discrete habitats to complete their life cycles. Freshwater fish migrations occur around the world and provide numerous ecosystem services for humans and natural systems; however, many migratory species are in decline globally. A limiting factor to successfully conserve freshwater migratory fishes is that the migratory life histories of many species are unknown or only partially described. To provide researchers with critical and comprehensive information to conserve migratory fishes, we developed the North American Freshwater Migratory Fish Database (NAFMFD).</p><h3 id=\"jbi14367-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Canada, Mexico and the United States.</p><h3 id=\"jbi14367-sec-0003-title\" class=\"article-section__sub-title section1\">Taxon</h3><p>Freshwater fish.</p><h3 id=\"jbi14367-sec-0004-title\" class=\"article-section__sub-title section1\">Methods</h3><p>To develop this database, we assigned migratory status, pattern and behaviour to a comprehensive list of freshwater fish species found throughout North America. We assembled the database which included assignments (i.e. migratory status, pattern and behaviour) as well as the sources used to make the assignments. Researchers and managers from across North America reviewed the database for completeness and accuracy on the migratory life histories of fishes.</p><h3 id=\"jbi14367-sec-0005-title\" class=\"article-section__sub-title section1\">Results</h3><p>The database synthesizes current knowledge of migratory status, pattern and behaviour of native and non-native freshwater fishes throughout North America, including 1250 species representing 79 families and 325 genera. Results showcase the diversity of migratory life histories of freshwater fishes on the continent, including that at least 25% of North American freshwater fishes are migratory, 23% are non-migratory and 44% have undetermined migratory status.</p><h3 id=\"jbi14367-sec-0006-title\" class=\"article-section__sub-title section1\">Main conclusions</h3><p>NAFMFD improves the quality of migratory data accessible to researchers, which supports a more holistic understanding of the threats encountered by migratory fishes, including habitat fragmentation. The approach we used in developing NAFMFD can provide guidance for developing similar databases in other regions. Collectively, our work offers new insights into the range of freshwater fish migratory life histories, stimulating a need to better understand this diversity globally.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jbi.14367","usgsCitation":"Dean, E., Cooper, A.R., Wang, L., Daniel, W., David, S., Ernzen, C., Gido, K.B., Hale, E., Haxton, T., Kelso, W., Leonard, N., Lido, C., Margraf, J., Porter, M., Pennock, C., Propst, D.L., Ross, J., Staudinger, M., Infante, D.M., and Whelan, G., 2022, The North American Freshwater Migratory Fish Database (NAFMFD): Characterizing the migratory life histories of freshwater fishes of Canada, the United States and Mexico: Journal of Biogeography, v. 49, no. 6, p. 1193-1203, https://doi.org/10.1111/jbi.14367.","productDescription":"11 p.; Data Release","startPage":"1193","endPage":"1203","ipdsId":"IP-135436","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":448042,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jbi.14367","text":"Publisher Index Page"},{"id":400499,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417843,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WDLLP0"}],"country":"Canada, Mexico, United 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Mexico","active":true,"usgs":false}],"preferred":false,"id":842715,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ross, Jared","contributorId":187649,"corporation":false,"usgs":false,"family":"Ross","given":"Jared","affiliations":[],"preferred":false,"id":842716,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":206655,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":842717,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Infante, Dana M. 0000-0003-1385-1587","orcid":"https://orcid.org/0000-0003-1385-1587","contributorId":150821,"corporation":false,"usgs":false,"family":"Infante","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":18112,"text":"Dept. of Fisheries and Wildlife,","active":true,"usgs":false}],"preferred":false,"id":842719,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Whelan, Gary","contributorId":146115,"corporation":false,"usgs":false,"family":"Whelan","given":"Gary","email":"","affiliations":[{"id":16584,"text":"Fisheries Division, Michigan Department of Natural Resources, P.O. Box 30446, Lansing, MI 48909","active":true,"usgs":false}],"preferred":false,"id":842718,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70232913,"text":"70232913 - 2022 - Topographic controls on ice flow and recession for Juneau Icefield (Alaska/British Columbia)","interactions":[],"lastModifiedDate":"2022-08-02T15:09:25.73099","indexId":"70232913","displayToPublicDate":"2022-04-22T06:56:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7951,"text":"Earth Surfaces Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Topographic controls on ice flow and recession for Juneau Icefield (Alaska/British Columbia)","docAbstract":"<p>Globally, mountain glaciers and ice caps are losing dramatic volumes of ice. The resultant sea-level rise is dominated by contributions from Alaska. Plateau icefields may be especially sensitive to climate change due to the non-linear controls their topography imparts on their response to climate change. However, Alaskan plateau icefields have been subject to little structural glaciological or regional geomorphological assessment, which makes the controls on their present and former mass balance difficult to ascertain.</p><p>We inventoried 1050 glaciers and 368 lakes in the Juneau Icefield region for the year 2019. We found that 63 glaciers had disappeared since the 2005 inventory, with a reduction in glacier area of 422 km<sup>2</sup><span>&nbsp;</span>(10.0%). We also present the first structural glaciological and geomorphological map for an entire icefield in Alaska. Glaciological mapping of &gt;20 800 features included crevasses, debris cover, foliation, ogives, medial moraines and, importantly, areas of glacier fragmentation, where glaciers either separated from tributaries via lateral recession (<i>n</i> = 59), or disconnected within areas of former icefalls (<i>n</i> = 281). Geomorphological mapping of &gt;10 200 landforms included glacial moraines, glacial lakes, trimlines, flutes and cirques. These landforms were generated by a temperate icefield during the Little Ice Age (LIA) neoglaciation. These data demonstrate that the present-day outlet glaciers, which have a similar thermal and ice-flow regime, have undergone largely continuous recession since the LIA. Importantly, disconnections occurring within glaciers can separate accumulation and ablation zones, increasing rates of glacier mass loss. We show that glacier disconnections are widespread across the icefield and should be critically taken into consideration when icefield vulnerability to climate change is considered.</p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5383","usgsCitation":"Davies, B., Bendle, J., Carrivick, J., McNabb, R., McNeil, C., Pelto, M., Campbell, S., Holt, T., Ely, J., and Markle, B., 2022, Topographic controls on ice flow and recession for Juneau Icefield (Alaska/British Columbia): Earth Surfaces Processes and Landforms, v. 47, no. 9, p. 2357-2390, https://doi.org/10.1002/esp.5383.","productDescription":"34 p.","startPage":"2357","endPage":"2390","ipdsId":"IP-136133","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":448046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5383","text":"Publisher Index Page"},{"id":403589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","otherGeospatial":"British Columbia, Juneau Icefields","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -136.5380859375,\n              56.68037378950137\n            ],\n            [\n              -132.07763671874997,\n              56.68037378950137\n            ],\n            [\n              -132.07763671874997,\n              59.24341475839977\n            ],\n            [\n              -136.5380859375,\n              59.24341475839977\n            ],\n            [\n              -136.5380859375,\n              56.68037378950137\n            ]\n          ]\n        ]\n      }\n    }\n  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0000-0002-9286-5348","orcid":"https://orcid.org/0000-0002-9286-5348","contributorId":293146,"corporation":false,"usgs":false,"family":"Carrivick","given":"Jonathan","middleInitial":"L.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":846486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNabb, Robert 0000-0003-0016-493X","orcid":"https://orcid.org/0000-0003-0016-493X","contributorId":293147,"corporation":false,"usgs":false,"family":"McNabb","given":"Robert","email":"","affiliations":[{"id":54679,"text":"Ulster University","active":true,"usgs":false}],"preferred":false,"id":846487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNeil, Christopher J. 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":5803,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher J.","email":"cmcneil@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":846488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pelto, Mauri 0000-0002-9498-9125","orcid":"https://orcid.org/0000-0002-9498-9125","contributorId":224116,"corporation":false,"usgs":false,"family":"Pelto","given":"Mauri","email":"","affiliations":[{"id":40827,"text":"Nichols College","active":true,"usgs":false}],"preferred":false,"id":846489,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Campbell, Seth 0000-0002-9620-8329","orcid":"https://orcid.org/0000-0002-9620-8329","contributorId":224117,"corporation":false,"usgs":false,"family":"Campbell","given":"Seth","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":846490,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holt, Tom 0000-0001-8361-0688","orcid":"https://orcid.org/0000-0001-8361-0688","contributorId":293148,"corporation":false,"usgs":false,"family":"Holt","given":"Tom","email":"","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":846491,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ely, Jeremy 0000-0003-4007-1500","orcid":"https://orcid.org/0000-0003-4007-1500","contributorId":293149,"corporation":false,"usgs":false,"family":"Ely","given":"Jeremy","email":"","affiliations":[{"id":28159,"text":"University of Sheffield","active":true,"usgs":false}],"preferred":false,"id":846492,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Markle, Bradley 0000-0002-2282-6546","orcid":"https://orcid.org/0000-0002-2282-6546","contributorId":293150,"corporation":false,"usgs":false,"family":"Markle","given":"Bradley","email":"","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":846493,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70262285,"text":"70262285 - 2022 - Sandhill crane colt survival in Minnesota","interactions":[],"lastModifiedDate":"2025-01-22T15:23:44.846418","indexId":"70262285","displayToPublicDate":"2022-04-22T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Sandhill crane colt survival in Minnesota","docAbstract":"<p><span>Age-structured population models require reliable estimates of cohort-specific survival rates, yet vital rates of younger age classes are often difficult to estimate because of the logistical challenges of monitoring young animals. As part of a study of sandhill cranes&nbsp;</span><i>Antigone canadensis</i><span>&nbsp;in the zone of contact between breeding distributions of the Eastern Population and Midcontinent Population in Minnesota, we monitored first summer survival of 34 sandhill cranes (hereafter colts) by using very-high-frequency and global positioning system–global system for mobile communications transmitters. We estimated daily survival probabilities from 19 to 120 d posthatch by using a generalized linear model accounting for interval censoring, resulting in an estimated period survival rate of 0.52 (90% CI, 0.36–0.71) over summer (100 d). Estimated daily probabilities of survival increased as colts became older and fledged (at 70–75 d posthatch), when they presumably became less vulnerable to predation. Causes of mortality were mostly unknown aside from one case of a collision with a vehicle. There is a scarcity of published colt survival rate estimates for sandhill cranes, and what is available varies widely by study site. Region-specific sandhill crane colt survival rate estimates can inform future management efforts and inform population dynamics research and overall natural history knowledge of sandhill cranes.</span></p>","language":"English","publisher":"Allen Press","doi":"10.3996/jfwm-21-097","usgsCitation":"Severud, W., Wolfson, D., Fieberg, J., and Andersen, D.E., 2022, Sandhill crane colt survival in Minnesota: Journal of Fish and Wildlife Management, v. 13, no. 2, p. 494-501, https://doi.org/10.3996/jfwm-21-097.","productDescription":"8 p.","startPage":"494","endPage":"501","ipdsId":"IP-135672","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481088,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-21-097","text":"Publisher Index Page"},{"id":480919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","county":"Aitkin County, Becker County, Cass County, Clearwater County, Mahnomen County, Todd County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-93.7749,47.0304],[-93.5867,47.0316],[-93.1703,47.0266],[-93.0586,47.0263],[-93.0603,46.767],[-93.0623,46.6739],[-93.0608,46.5937],[-93.0536,46.5932],[-93.0527,46.419],[-93.0532,46.3562],[-93.0495,46.3168],[-93.0512,46.1584],[-93.2337,46.1611],[-93.428,46.1541],[-93.4286,46.2443],[-93.8105,46.2412],[-93.8114,46.5835],[-93.7797,46.5891],[-93.7764,46.5937],[-93.776,46.8037],[-94.3428,46.806],[-94.3452,46.6308],[-94.33,46.6309],[-94.3301,46.4809],[-94.3302,46.4342],[-94.3306,46.3087],[-94.3251,46.2954],[-94.3283,46.283],[-94.3308,46.2789],[-94.3341,46.2798],[-94.3361,46.2811],[-94.3401,46.2811],[-94.3427,46.2797],[-94.3427,46.277],[-94.344,46.2779],[-94.3454,46.282],[-94.3461,46.2893],[-94.3475,46.2925],[-94.3501,46.2939],[-94.3547,46.2961],[-94.3574,46.297],[-94.3666,46.2979],[-94.3706,46.2983],[-94.3745,46.2983],[-94.3831,46.2996],[-94.3864,46.3019],[-94.3937,46.306],[-94.3957,46.311],[-94.3964,46.3114],[-94.4004,46.3178],[-94.4084,46.3233],[-94.4176,46.3255],[-94.4196,46.3269],[-94.4236,46.3296],[-94.4335,46.3318],[-94.4466,46.329],[-94.4572,46.3266],[-94.465,46.3238],[-94.4728,46.3187],[-94.4839,46.314],[-94.4925,46.3144],[-94.4991,46.3148],[-94.5063,46.3143],[-94.5122,46.3129],[-94.5174,46.3106],[-94.5227,46.3096],[-94.5247,46.3092],[-94.5325,46.3087],[-94.5358,46.3073],[-94.5365,46.3054],[-94.5351,46.3041],[-94.5423,46.3022],[-94.5469,46.3035],[-94.5535,46.3048],[-94.5589,46.308],[-94.5668,46.3116],[-94.5774,46.3175],[-94.5894,46.3229],[-94.5973,46.3256],[-94.6032,46.3237],[-94.6084,46.3223],[-94.613,46.3218],[-94.6163,46.3222],[-94.619,46.3235],[-94.623,46.3267],[-94.625,46.3285],[-94.627,46.3317],[-94.6285,46.3381],[-94.6305,46.3413],[-94.6319,46.345],[-94.6358,46.3463],[-94.6417,46.3454],[-94.6444,46.3453],[-94.6503,46.3457],[-94.651,46.3462],[-94.6519,46.2834],[-94.6466,46.2835],[-94.6478,45.9327],[-94.6419,45.9328],[-94.6438,45.7758],[-95.1398,45.7744],[-95.1391,45.9327],[-95.147,45.9326],[-95.1454,46.108],[-95.1464,46.2825],[-95.1563,46.2828],[-95.1559,46.3708],[-94.7331,46.3698],[-94.7312,46.3748],[-94.7353,46.3816],[-94.7412,46.3834],[-94.7458,46.3829],[-94.753,46.3819],[-94.759,46.3833],[-94.763,46.3878],[-94.7644,46.3919],[-94.7664,46.3937],[-94.7711,46.3946],[-94.7724,46.3951],[-94.777,46.3941],[-94.7823,46.3973],[-94.783,46.4005],[-94.7825,46.4046],[-94.78,46.411],[-94.7774,46.4138],[-94.7833,46.4156],[-94.7802,46.6301],[-94.7835,46.6301],[-94.7856,46.8058],[-94.6597,46.8041],[-94.6554,46.9772],[-94.664,46.9771],[-94.6623,47.1429],[-94.6624,47.1498],[-94.6628,47.3221],[-94.6708,47.3225],[-94.6711,47.4103],[-94.5941,47.4104],[-94.4162,47.4104],[-94.416,47.4453],[-94.4079,47.4435],[-94.4065,47.438],[-94.4051,47.4343],[-94.3997,47.4321],[-94.3903,47.4289],[-94.3836,47.4285],[-94.383,47.4317],[-94.381,47.4322],[-94.3749,47.4299],[-94.3668,47.4258],[-94.3568,47.4259],[-94.3467,47.4241],[-94.3373,47.4205],[-94.3272,47.416],[-94.3219,47.4165],[-94.3152,47.4174],[-94.3085,47.4188],[-94.1124,47.4792],[-94.1043,47.4797],[-94.0943,47.4779],[-94.0848,47.4733],[-94.072,47.4573],[-94.0652,47.4458],[-94.0618,47.4408],[-94.0571,47.4343],[-94.0537,47.432],[-94.051,47.4284],[-94.0483,47.4261],[-94.0409,47.4211],[-94.0341,47.4151],[-94.0321,47.4151],[-94.0314,47.4105],[-94.0334,47.4068],[-94.0374,47.4018],[-94.0379,47.3838],[-94.0331,47.3701],[-94.029,47.3577],[-94.0162,47.3476],[-94.0022,47.3449],[-93.9928,47.3417],[-93.9821,47.339],[-93.9673,47.3326],[-93.9586,47.3271],[-93.9552,47.3244],[-93.9492,47.3184],[-93.9478,47.3134],[-93.9451,47.3093],[-93.9377,47.3065],[-93.9351,47.3056],[-93.9324,47.3042],[-93.9284,47.3024],[-93.9263,47.2997],[-93.9223,47.2978],[-93.917,47.296],[-93.9136,47.297],[-93.9076,47.2993],[-93.9023,47.303],[-93.8977,47.3062],[-93.897,47.3099],[-93.8891,47.3204],[-93.8871,47.3237],[-93.8817,47.3246],[-93.8724,47.3242],[-93.8623,47.3196],[-93.8529,47.3127],[-93.8449,47.3086],[-93.8362,47.3054],[-93.8155,47.3041],[-93.8068,47.305],[-93.7888,47.3074],[-93.7808,47.3069],[-93.7754,47.306],[-93.7721,47.3056],[-93.7694,47.3037],[-93.7707,47.2982],[-93.7747,47.2968],[-93.7754,47.2964],[-93.7807,47.2918],[-93.7814,47.2895],[-93.7807,47.2835],[-93.778,47.2807],[-93.7786,47.2757],[-93.784,47.2784],[-93.7886,47.2761],[-93.7879,47.2683],[-93.7879,47.2646],[-93.7866,47.2614],[-93.7866,47.2587],[-93.7952,47.2596],[-93.7992,47.2568],[-93.8026,47.2531],[-93.8059,47.2508],[-93.8079,47.2467],[-93.8072,47.2384],[-93.8045,47.2315],[-93.8011,47.2237],[-93.7977,47.2168],[-93.7964,47.2164],[-93.7944,47.2155],[-93.789,47.215],[-93.783,47.2118],[-93.7763,47.2095],[-93.7749,47.0304]]],[[[-95.5499,47.5017],[-95.5526,47.6728],[-95.5781,47.6733],[-95.5822,47.9274],[-95.5817,47.9334],[-95.5825,48.0219],[-95.2252,48.0217],[-95.2554,47.99],[-95.2558,47.9882],[-95.2719,47.9614],[-95.2784,47.9302],[-95.2705,47.9038],[-95.251,47.8843],[-95.1957,47.8732],[-95.1952,47.8033]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William J.","contributorId":348747,"corporation":false,"usgs":false,"family":"Severud","given":"William J.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":923739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolfson, David","contributorId":348748,"corporation":false,"usgs":false,"family":"Wolfson","given":"David","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":923740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fieberg, John","contributorId":348749,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":923741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923738,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70233188,"text":"70233188 - 2022 - Ecological and social strategies for managing fisheries using the Resist-Accept-Direct (RAD) framework","interactions":[],"lastModifiedDate":"2022-07-18T14:21:00.073455","indexId":"70233188","displayToPublicDate":"2022-04-21T09:13:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological and social strategies for managing fisheries using the Resist-Accept-Direct (RAD) framework","docAbstract":"<p><span>Fisheries management is a complex task made even more challenging by rapid and unprecedented socioecological transformations associated with climate change. The Resist-Accept-Direct (RAD) framework can be a useful tool to support fisheries management in facing the high uncertainty and variability associated with aquatic ecosystem transformations. Here, RAD strategies are presented to address ecological goals for aquatic ecosystems and social goals for fisheries. These strategies are mapped on a controllability matrix which explores the ability to guide a system's behaviour towards a desired state based on ecological responsiveness and societal receptivity to change. Understanding and improving the controllability of aquatic systems and fisheries can help managers to maintain the broadest suite of available RAD management strategies.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/fme.12545","usgsCitation":"Lynch, A., Rahel, F.J., Limpinsel, D., Sethi, S., Engman, A.C., Lawrence, D.J., Mills, K., Morrison, W., Peterson, J.O., and Porath, M., 2022, Ecological and social strategies for managing fisheries using the Resist-Accept-Direct (RAD) framework: Fisheries Management and Ecology, v. 29, no. 4, p. 329-345, https://doi.org/10.1111/fme.12545.","productDescription":"17 p.","startPage":"329","endPage":"345","ipdsId":"IP-135092","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":403894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":846736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rahel, Frank J.","contributorId":171824,"corporation":false,"usgs":false,"family":"Rahel","given":"Frank","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":846737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Limpinsel, Douglas","contributorId":266193,"corporation":false,"usgs":false,"family":"Limpinsel","given":"Douglas","email":"","affiliations":[{"id":38698,"text":"NOAA Fisheries","active":true,"usgs":false}],"preferred":false,"id":846738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":846739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engman, Agustin C.","contributorId":293208,"corporation":false,"usgs":false,"family":"Engman","given":"Agustin","email":"","middleInitial":"C.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":846740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawrence, David J. 0000-0002-1457-9944","orcid":"https://orcid.org/0000-0002-1457-9944","contributorId":225585,"corporation":false,"usgs":false,"family":"Lawrence","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":41167,"text":"U.S. Park Service","active":true,"usgs":false}],"preferred":false,"id":846741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mills, Katherine E.","contributorId":280277,"corporation":false,"usgs":false,"family":"Mills","given":"Katherine E.","affiliations":[{"id":38441,"text":"Gulf of Maine Research Institute","active":true,"usgs":false}],"preferred":false,"id":846742,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morrison, Wendy","contributorId":245569,"corporation":false,"usgs":false,"family":"Morrison","given":"Wendy","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":846743,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peterson, Jay O.","contributorId":293209,"corporation":false,"usgs":false,"family":"Peterson","given":"Jay","email":"","middleInitial":"O.","affiliations":[{"id":38698,"text":"NOAA Fisheries","active":true,"usgs":false}],"preferred":false,"id":846744,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Porath, Mark T.","contributorId":270986,"corporation":false,"usgs":false,"family":"Porath","given":"Mark T.","affiliations":[{"id":17640,"text":"Nebraska Game and Parks Commission","active":true,"usgs":false}],"preferred":false,"id":846745,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70231525,"text":"70231525 - 2022 - Biogeochemical and ecosystem properties in three adjacent semiarid grasslands are resistant to nitrogen deposition but sensitive to edaphic variability","interactions":[],"lastModifiedDate":"2022-08-02T14:21:41.486398","indexId":"70231525","displayToPublicDate":"2022-04-21T08:43:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Biogeochemical and ecosystem properties in three adjacent semiarid grasslands are resistant to nitrogen deposition but sensitive to edaphic variability","docAbstract":"<ol class=\"\"><li>Drylands have low nitrogen stocks and are predicted to be sensitive to modest increases in reactive nitrogen availability, but direct evidence that atmospheric nitrogen deposition will have sustained effects on dryland ecosystems is sparse and conflicting.</li><li>We used three long-running<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>nitrogen deposition simulation experiments and a complementary laboratory incubation experiment to address fundamental questions about how nitrogen inputs affect drylands: 1) What are the long- and short-term consequences of nitrogen inputs for biogeochemical and ecosystem properties?; 2) Do these consequences depend on soil moisture availability?; and 3) Does soil texture modify the effects of nitrogen inputs and/or soil moisture availability?</li><li>In 2011, we established three study sites along a soil texture gradient in Arches National Park with plots receiving 0, 2, 5, or 8 kg N ha<sup>-1</sup><span>&nbsp;</span>annually (<i>n</i><span>&nbsp;</span>= 5 per treatment per site). We assessed a suite of biogeochemical metrics over the long- and short-term. To assess longer-term effects, we sampled annually (2013-2019), just prior to spring nitrogen fertilization. To assess short-term effects, we sampled immediately before and after spring nitrogen fertilization in 2013. Additionally, we compared foliar chemistry, soil extracellular enzyme activities, heterotrophic respiration rates, and nitrogen trace gas fluxes at select intervals during the study period (2011-2019). Finally, we conducted a laboratory incubation to measure the individual and interacting effects of soil moisture and nitrogen additions on soil microbial activity.</li><li>We identified some short-term effects<span>&nbsp;</span><i>in situ</i>, but no lasting consequences of added nitrogen for any of the metrics measured. In the incubation, soil moisture treatments independently increased heterotrophic respiration rates but did not modify the effects of added nitrogen. In contrast to nitrogen treatments, soil texture was associated with large differences in biogeochemical cycling.</li><li>Our results oppose the common prediction that coupled dryland biogeochemical cycles are sensitive to nitrogen inputs and suggest that fine scale edaphic heterogeneity is a key driver of dryland ecosystem properties.</li><li><i>Synthesis</i>. This study synthesizes a rare, long-term dataset, which provides robust evidence that carbon and nutrient cycling and availability are resistant to realistic levels of atmospheric nitrogen deposition in remote dryland ecosystems.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13896","usgsCitation":"Osborne, B.B., Roybal, C., Reibold, R.H., Collier, C.D., Geiger, E.L., Phillips, M.L., Weintraub, M.N., and Reed, S., 2022, Biogeochemical and ecosystem properties in three adjacent semiarid grasslands are resistant to nitrogen deposition but sensitive to edaphic variability: Journal of Ecology, v. 110, no. 7, p. 1615-1631, https://doi.org/10.1111/1365-2745.13896.","productDescription":"17 p.","startPage":"1615","endPage":"1631","ipdsId":"IP-133283","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":435867,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MUQ7ZE","text":"USGS data release","linkHelpText":"Ecological property data and experimental lab incubation results from a long-term nitrogen deposition simulation experiment in three semi-arid grasslands, Arches National Park, Utah, USA, 2013-2019"},{"id":400578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Arches National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.71771240234375,\n              38.73480362521081\n            ],\n            [\n              -109.55291748046875,\n              38.73480362521081\n            ],\n            [\n              -109.55291748046875,\n              38.846125291387025\n            ],\n            [\n              -109.71771240234375,\n              38.846125291387025\n            ],\n            [\n              -109.71771240234375,\n              38.73480362521081\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Osborne, Brooke Bossert 0000-0003-4771-7677","orcid":"https://orcid.org/0000-0003-4771-7677","contributorId":247600,"corporation":false,"usgs":true,"family":"Osborne","given":"Brooke","email":"","middleInitial":"Bossert","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":842925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roybal, Carla M","contributorId":290495,"corporation":false,"usgs":false,"family":"Roybal","given":"Carla M","affiliations":[{"id":36303,"text":"unknown","active":true,"usgs":false}],"preferred":false,"id":842926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reibold, Robin H. 0000-0002-3323-487X","orcid":"https://orcid.org/0000-0002-3323-487X","contributorId":207499,"corporation":false,"usgs":true,"family":"Reibold","given":"Robin","email":"","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":842927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collier, Christopher D","contributorId":290496,"corporation":false,"usgs":false,"family":"Collier","given":"Christopher","email":"","middleInitial":"D","affiliations":[{"id":62439,"text":"Trout Unlimited, 1777 N Kent St., Suite 100, Arlington, VA 22209","active":true,"usgs":false}],"preferred":false,"id":842928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geiger, Erika L. 0000-0003-4546-3503","orcid":"https://orcid.org/0000-0003-4546-3503","contributorId":207502,"corporation":false,"usgs":true,"family":"Geiger","given":"Erika","email":"","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":842929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, Michala Lee 0000-0001-7005-8740","orcid":"https://orcid.org/0000-0001-7005-8740","contributorId":245186,"corporation":false,"usgs":true,"family":"Phillips","given":"Michala","email":"","middleInitial":"Lee","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":842930,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weintraub, Michael N 0000-0002-9623-2855","orcid":"https://orcid.org/0000-0002-9623-2855","contributorId":290497,"corporation":false,"usgs":false,"family":"Weintraub","given":"Michael","email":"","middleInitial":"N","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":842931,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":842932,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70231774,"text":"70231774 - 2022 - Neuroendocrine regulation of plasma cortisol levels during smoltification and seawater acclimation of Atlantic salmon","interactions":[],"lastModifiedDate":"2022-05-27T13:37:54.237151","indexId":"70231774","displayToPublicDate":"2022-04-21T08:34:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3848,"text":"Frontiers in Endocrinology","onlineIssn":"1664-2392","active":true,"publicationSubtype":{"id":10}},"title":"Neuroendocrine regulation of plasma cortisol levels during smoltification and seawater acclimation of Atlantic salmon","docAbstract":"<p><span>Diadromous fishes undergo dramatic changes in osmoregulatory capacity in preparation for migration between freshwater and seawater. One of the primary hormones involved in coordinating these changes is the glucocorticoid hormone, cortisol. In Atlantic salmon (</span><i>Salmo salar</i><span>), cortisol levels increase during the spring smoltification period prior to seawater migration; however, the neuroendocrine factors responsible for regulating the hypothalamic-pituitary-interrenal (HPI) axis and plasma cortisol levels during smoltification remain unclear. Therefore, we evaluated seasonal changes in circulating levels of cortisol and its primary secretagogue—adrenocorticotropic hormone (ACTH)—as well as transcript abundance of the major regulators of HPI axis activity in the preoptic area, hypothalamus, and pituitary between migratory smolts and pre-migratory parr. Smolts exhibited higher plasma cortisol levels compared to parr across all timepoints but circulating ACTH levels were only elevated in May. Transcript abundance of preoptic area corticotropin-releasing factor b1 and arginine vasotocin were ~2-fold higher in smolts compared to parr in February through May. Smolts also had ~7-fold greater hypothalamic transcript abundance of urotensin 1 (</span><i>uts-1a</i><span>) compared to parr in May through July. When transferred to seawater during peak smolting in May smolts rapidly upregulated hypothalamic&nbsp;</span><i>uts-1a</i><span>&nbsp;transcript levels within 24 h, while parr only transiently upregulated&nbsp;</span><i>uts-1a</i><span>&nbsp;96 h post-transfer.&nbsp;</span><i>In situ</i><span>&nbsp;hybridization revealed that&nbsp;</span><i>uts-1a</i><span>&nbsp;is highly abundant in the lateral tuberal nucleus (NLT) of the hypothalamus, consistent with a role in regulating the HPI axis. Overall, our results highlight the complex, multifactorial regulation of cortisol and provide novel insight into the neuroendocrine mechanisms controlling osmoregulation in teleosts.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fendo.2022.859817","usgsCitation":"Culbert, B.M., Regish, A.M., Hall, D., McCormick, S.D., and Bernier, N.J., 2022, Neuroendocrine regulation of plasma cortisol levels during smoltification and seawater acclimation of Atlantic salmon: Frontiers in Endocrinology, v. 13, 859817, 22 p., https://doi.org/10.3389/fendo.2022.859817.","productDescription":"859817, 22 p.","ipdsId":"IP-135566","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":448051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fendo.2022.859817","text":"Publisher Index Page"},{"id":401294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2022-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Culbert, Brett M","contributorId":292078,"corporation":false,"usgs":false,"family":"Culbert","given":"Brett","email":"","middleInitial":"M","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":843791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":843792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Daniel J","contributorId":292080,"corporation":false,"usgs":false,"family":"Hall","given":"Daniel J","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":843793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":843794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bernier, Nicholas J.","contributorId":220922,"corporation":false,"usgs":false,"family":"Bernier","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":40293,"text":"Univ of Guelph","active":true,"usgs":false}],"preferred":false,"id":843795,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231662,"text":"70231662 - 2022 - Deep-ocean polymetallic nodules and cobalt-rich ferromanganese crusts in the global ocean: New sources for critical metals","interactions":[],"lastModifiedDate":"2022-08-15T13:53:03.596218","indexId":"70231662","displayToPublicDate":"2022-04-21T08:24:44","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Deep-ocean polymetallic nodules and cobalt-rich ferromanganese crusts in the global ocean: New sources for critical metals","docAbstract":"<p>The transition from a global hydrocarbon economy to a green energy economy and the rapidly growing middle class in developing countries are driving the need for considerable new sources of critical materials. Deep-ocean minerals, namely cobalt-rich ferromanganese crusts and polymetallic nodules, are two such new resources generating interest.</p><p>Polymetallic nodules are essentially two-dimensional mineral deposits sitting on abyssal plain sediments at about 3,500–6,000 m water depths. Metals of economic interest enriched in nodules include nickel, copper, manganese, cobalt and molybdenum. Cobalt-rich ferromanganese crusts are also two-dimensional deposits forming pavements on rock outcrops on seamounts and ridges at water depths of 400–7,000 m. Metals of economic interest for crusts include cobalt, manganese, nickel, molybdenum, tellurium, platinum, vanadium and rare earth elements.</p><p>A conservative estimate is that 21.1 billion dry tons of polymetallic nodules exist in the Clarion-Clipperton Zone (<span>CCZ</span>) manganese nodule field, the largest in area and tonnage of the known global nodule fields. Based on that estimate, tonnages of many critical metals in the<span>&nbsp;</span><span>CCZ</span><span>&nbsp;</span>nodules are greater than those found in global terrestrial reserves. About 7.5 billion dry tons of cobalt-rich ferromanganese crusts are estimated to occur in the Pacific Ocean Prime Crust Zone, the area with the highest tonnage of critical-metal-rich crust deposits, with many elements contained therein estimated to be greater than those found in global terrestrial reserves.</p><p>Deep-ocean mining has not yet been carried out in the Exclusive Economic Zone of any nation, nor in the Areas beyond national jurisdiction, although extensive mineral exploration and environmental studies are being conducted and exploitation regulations codified, indicating that mining activities will likely begin in the near future. If deep-ocean mining follows the evolution of offshore production of petroleum, we can expect that about 35–45 per cent of the demand for critical metals will come from deep-ocean mines by 2065.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The United Nations convention on the law of the sea, part XI regime and the international seabed authority: A twenty-five year journey","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Brill","doi":"10.1163/9789004507388_013","usgsCitation":"Hein, J.R., and Mizell, K., 2022, Deep-ocean polymetallic nodules and cobalt-rich ferromanganese crusts in the global ocean: New sources for critical metals, chap. 8 <i>of</i> The United Nations convention on the law of the sea, part XI regime and the international seabed authority: A twenty-five year journey, p. 177-197, https://doi.org/10.1163/9789004507388_013.","productDescription":"21 p.","startPage":"177","endPage":"197","ipdsId":"IP-120065","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":400806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":400795,"type":{"id":15,"text":"Index Page"},"url":"https://brill.com/view/book/edcoll/9789004507388/BP000021.xml"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":843289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":843290,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70255196,"text":"70255196 - 2022 - Trade-offs between utility-scale solar development and ungulates on western rangelands","interactions":[],"lastModifiedDate":"2024-06-17T12:13:00.32465","indexId":"70255196","displayToPublicDate":"2022-04-21T07:09:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5993,"text":"Frontiers in Ecology and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Trade-offs between utility-scale solar development and ungulates on western rangelands","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Utility-scale solar energy (USSE) has become an efficient and cost-effective form of renewable energy, with an expanding footprint into rangelands that provide important habitat for many wild ungulate populations. Using global positioning system data collected before and after construction, we documented the potential impacts of USSE on pronghorn (<i>Antilocapra americana</i>), including direct habitat loss, indirect habitat loss, and barrier effects to both resident and migratory population segments. Our case study highlights the challenges that USSE poses to ungulate conservation, including (1) impermeable security fencing that blocks access to and reduces connectivity between formerly available habitats, and (2) the lack of guidelines for minimizing USSE impacts on ungulates. Improved siting and ungulate-specific best management practices would help to minimize habitat loss and retain landscape connectivity. Ungulate biodiversity and ecosystem services (for example, services provided by long-distance migratory species) in arid rangelands are important considerations when balancing the global benefits of renewable energy with local wildlife impacts.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/fee.2498","usgsCitation":"Sawyer, H., Korfanta, N.M., Kauffman, M., Robb, B.S., Telander, A.C., and Mattson, T., 2022, Trade-offs between utility-scale solar development and ungulates on western rangelands: Frontiers in Ecology and Environment, v. 20, no. 6, p. 345-351, https://doi.org/10.1002/fee.2498.","productDescription":"7 p.","startPage":"345","endPage":"351","ipdsId":"IP-131724","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":448054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2498","text":"Publisher Index Page"},{"id":430266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.26801129718055,\n              42.13028721678117\n            ],\n            [\n              -110.26801129718055,\n              41.310982504805565\n            ],\n            [\n              -109.04143424519842,\n              41.310982504805565\n            ],\n            [\n              -109.04143424519842,\n              42.13028721678117\n            ],\n            [\n              -110.26801129718055,\n              42.13028721678117\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Sawyer, Hall","contributorId":338972,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[{"id":51998,"text":"Western EcoSystems Technology","active":true,"usgs":false}],"preferred":false,"id":903709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Korfanta, Nicole M.","contributorId":338975,"corporation":false,"usgs":false,"family":"Korfanta","given":"Nicole","email":"","middleInitial":"M.","affiliations":[{"id":81216,"text":"Haub School of Environment and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":903710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robb, Benjamin Seward 0000-0003-1419-3918","orcid":"https://orcid.org/0000-0003-1419-3918","contributorId":328990,"corporation":false,"usgs":true,"family":"Robb","given":"Benjamin","email":"","middleInitial":"Seward","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":903711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Telander, Andrew C.","contributorId":338976,"corporation":false,"usgs":false,"family":"Telander","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":51998,"text":"Western EcoSystems Technology","active":true,"usgs":false}],"preferred":false,"id":903712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mattson, Todd","contributorId":338977,"corporation":false,"usgs":false,"family":"Mattson","given":"Todd","email":"","affiliations":[{"id":51998,"text":"Western EcoSystems Technology","active":true,"usgs":false}],"preferred":false,"id":903713,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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