{"pageNumber":"1","pageRowStart":"0","pageSize":"25","recordCount":246,"records":[{"id":70273509,"text":"70273509 - 2025 - Recovery of Delaware Bay horseshoe crabs following harvest reductions","interactions":[],"lastModifiedDate":"2026-01-21T15:03:39.197863","indexId":"70273509","displayToPublicDate":"2025-10-27T07:57:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20748,"text":"Marine and Coastal Fisheries: Dynamics, Management and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Recovery of Delaware Bay horseshoe crabs following harvest reductions","docAbstract":"<p>Objective</p><p><span>Horseshoe crabs&nbsp;</span><i>Limulus polyphemus</i><span>&nbsp;play a vital role in the Delaware Bay ecosystem. The migratory stopover of several shorebird species occurs during the horseshoe crab spawning season, and the eggs of horseshoe crabs provide an essential food source to fuel their northward migration to breeding areas. High commercial fishery use of horseshoe crabs as bait during the 1990s coincided with a decline in crabs and shorebirds, particularly the red knot&nbsp;</span><i>Calidris canutus rufa</i><span>, which has been listed as threatened under the U.S. Endangered Species Act since 2015. In response to the population decline of shorebirds, the Atlantic States Marine Fisheries Commission began reducing the harvest of horseshoe crabs in 2000 with a goal of rebuilding the population of horseshoe crabs and shorebirds that depend upon them. The objective of this analysis was to determine whether horseshoe crab harvest management in the Delaware Bay region has increased the abundance of the species in recent years.</span></p><p><span>Methods</span></p><p><span>We analyzed data from fisheries-independent trawl surveys of horseshoe crab relative abundance using a Bayesian hierarchical model to determine whether harvest management has resulted in the rebuilding of the horseshoe crab population to levels seen in 1990—a period before the overuse of horseshoe crabs and the decline in the population of red knots.</span></p><p><span>Results</span></p><p><span>Data from multiple surveys showed that the horseshoe crab population in Delaware Bay declined from the 1990s through approximately 2005, was relatively low and stable until 2010, and then increased through 2023, with a 0.38 probability of exceeding the 1990 level.</span></p><p><span>Conclusions</span></p><p><span>The results of this analysis support the effectiveness of management decisions related to horseshoe crabs in the Delaware Bay region. In response to harvest restrictions, the abundance of horseshoe crabs has neared levels observed in the early 1990s—a period prior to high commercial use and a decline in both horseshoe crabs and shorebirds that depend on them for food during annual migrations.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/mcfafs/vtaf040","usgsCitation":"Sweka, J., Anstead, K., Smith, D.R., Barry, L., Zimmerman, J., Doctor, S., Weedon, C., Gartland, J., Jiao, Y., Ferretti, F., and Hallerman, E.M., 2025, Recovery of Delaware Bay horseshoe crabs following harvest reductions: Marine and Coastal Fisheries: Dynamics, Management and Ecosystem Science, v. 17, no. 5, vtaf040, 11 p., https://doi.org/10.1093/mcfafs/vtaf040.","productDescription":"vtaf040, 11 p.","ipdsId":"IP-180039","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498928,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/mcfafs/vtaf040","text":"Publisher Index Page"},{"id":498794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.73652508190773,\n              39.70362450005183\n            ],\n            [\n              -75.73652508190773,\n              38.62515671907127\n            ],\n            [\n              -74.71835783856952,\n              38.62515671907127\n            ],\n            [\n              -74.71835783856952,\n              39.70362450005183\n            ],\n            [\n              -75.73652508190773,\n              39.70362450005183\n            ]\n     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drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":954090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barry, Linda","contributorId":329848,"corporation":false,"usgs":false,"family":"Barry","given":"Linda","email":"","affiliations":[],"preferred":false,"id":954091,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Jordan","contributorId":365299,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jordan","affiliations":[{"id":36379,"text":"Delaware Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":954092,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doctor, Steve","contributorId":365300,"corporation":false,"usgs":false,"family":"Doctor","given":"Steve","affiliations":[{"id":87125,"text":"Maryland Fishing and Boating Service","active":true,"usgs":false}],"preferred":false,"id":954093,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weedon, Craig","contributorId":365301,"corporation":false,"usgs":false,"family":"Weedon","given":"Craig","affiliations":[{"id":87125,"text":"Maryland Fishing and Boating Service","active":true,"usgs":false}],"preferred":false,"id":954094,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gartland, James","contributorId":365302,"corporation":false,"usgs":false,"family":"Gartland","given":"James","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":954095,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jiao, Yan","contributorId":204633,"corporation":false,"usgs":false,"family":"Jiao","given":"Yan","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":954096,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ferretti, Francesco","contributorId":356499,"corporation":false,"usgs":false,"family":"Ferretti","given":"Francesco","affiliations":[{"id":85065,"text":"Fish and Wildlife Conservation, College of Natural resources and Environment, Virginia Tech, 310 West Campus Drive, Cheatham Hall, 24060 Blacksburg (Virgin","active":true,"usgs":false}],"preferred":false,"id":954097,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hallerman, Eric M.","contributorId":350503,"corporation":false,"usgs":false,"family":"Hallerman","given":"Eric","middleInitial":"M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":954098,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70273767,"text":"70273767 - 2025 - Evaluating freshwater mussel sampling methodologies using a simulation model","interactions":[],"lastModifiedDate":"2026-01-28T16:02:04.948279","indexId":"70273767","displayToPublicDate":"2025-09-18T08:57:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating freshwater mussel sampling methodologies using a simulation model","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Field surveys form the basis of many research efforts and are the foundation for estimates of population size and density that inform conservation and management practices for imperiled species. As a result, evaluating the performance of different survey methods across a range of conditions that may be encountered in the field can increase understanding of the time and effort that may be required to ensure that survey results are sufficiently accurate and reliable for conservation goals. We used a spatially explicit agent-based model to simulate four commonly used freshwater mussel field survey methodologies: simple random sampling (SRS), transect random sampling (TRS), adaptive cluster sampling (ACS), and qualitative timed searches (QTS) to investigate the influence of sampling method, spatial distribution, and mussel density on the performance (</span><i>i.e.,</i><span>&nbsp;accuracy, precision, and detection rate) of survey techniques. Our analysis suggests that mussel density, spatial distribution, and sampling effort influence sampling accuracy, precision, and species detection for all sampling methods. QTS produces highly variable catch-per-unit-effort (CPUE) metrics when mussels are dense and/or clustered, indicating the technique may be unreliable as a proxy for density. Quantitative methods like SRS and TRS may be well-suited for estimating population characteristics, but a high level of effort may be needed to obtain reasonable accuracy when mussels occur at low densities. ACS may be more efficient for mussels at low densities, but it can be challenging to plan for the level of effort required to complete an ACS protocol. Designing an ecological survey requires careful consideration of research objectives and available resources. Future research may consider the performance of qualitative and quantitative surveys in combination as a means of overcoming some of the practical challenges of applying individual survey methods.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2025.114172","usgsCitation":"Foxfoot, I.R., Cushway, K.C., Schwalb, A.N., Smith, D.R., and Swannack, T.M., 2025, Evaluating freshwater mussel sampling methodologies using a simulation model: Ecological Indicators, v. 179, 114172, 14 p., https://doi.org/10.1016/j.ecolind.2025.114172.","productDescription":"114172, 14 p.","ipdsId":"IP-181659","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2025.114172","text":"Publisher Index Page"},{"id":499174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"179","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Foxfoot, Iris R.","contributorId":336806,"corporation":false,"usgs":false,"family":"Foxfoot","given":"Iris","middleInitial":"R.","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":954690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cushway, Kiara C.","contributorId":365735,"corporation":false,"usgs":false,"family":"Cushway","given":"Kiara","middleInitial":"C.","affiliations":[{"id":87200,"text":"US Army Engineer Research and Development Center; UIC Government Services LLC","active":true,"usgs":false}],"preferred":false,"id":954691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwalb, Astrid N.","contributorId":333385,"corporation":false,"usgs":false,"family":"Schwalb","given":"Astrid","middleInitial":"N.","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":954692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":954693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swannack, Todd M.","contributorId":336813,"corporation":false,"usgs":false,"family":"Swannack","given":"Todd","middleInitial":"M.","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":954694,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269575,"text":"70269575 - 2025 - Comparing SMART and ELECTRE methods for multi-criteria decision analysis: A case study evaluating conservation strategies","interactions":[],"lastModifiedDate":"2025-07-28T14:51:32.83067","indexId":"70269575","displayToPublicDate":"2025-06-24T07:48:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22149,"text":"Environmental and Sustainability Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Comparing SMART and ELECTRE methods for multi-criteria decision analysis: A case study evaluating conservation strategies","docAbstract":"Tradeoffs are part of the inherent challenge of making decisions. Defaulting to a prevalent method can mask methodological variation and potential improvement in decision quality. We applied and compared methods for multi-criteria decision analysis (MCDA) in real-world environmental planning. Decision makers at a global conservation organization formed teams to review and prioritize the allocation of resources across a set of existing strategies across seven teams. Each team evaluated and rated strategies based on a common scale composed of weighted objectives and criteria. Sensitivity analysis included implementing two different MCDA methods, varying strategy ratings, and using two different criteria weighting techniques. The MCDA methods were SMART (Simple Multi-Attribute Rating Technique) and ELECTRE (ELimination and Choice Expressing The REality). We tested user satisfaction between methods, overall rankings between methods, and whether MCDA improved the decision-making process. The methods did not differ in most comparisons, although participants were more likely to use the SMART method in future tradeoff decisions. We found evidence of rank correlation between methods. Lastly, the teams’ final recommendations were consistent with MCDA results. This study highlights the advantages and disadvantages of MCDA in real-world applications.","language":"English","publisher":"Elsevier","doi":"10.1016/j.indic.2025.100764","usgsCitation":"Martin, D.M., and Smith, D.R., 2025, Comparing SMART and ELECTRE methods for multi-criteria decision analysis: A case study evaluating conservation strategies: Environmental and Sustainability Indicators, v. 27, 100764, 12 p., https://doi.org/10.1016/j.indic.2025.100764.","productDescription":"100764, 12 p.","ipdsId":"IP-153399","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":493316,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.indic.2025.100764","text":"Publisher Index Page"},{"id":493000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, David M. 0000-0002-1514-5734","orcid":"https://orcid.org/0000-0002-1514-5734","contributorId":210575,"corporation":false,"usgs":false,"family":"Martin","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":944094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":944095,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264607,"text":"70264607 - 2025 - Recovering the American horseshoe crab through a commitment to collaboration","interactions":[],"lastModifiedDate":"2025-06-23T15:19:10.816449","indexId":"70264607","displayToPublicDate":"2025-01-22T07:53:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Recovering the American horseshoe crab through a commitment to collaboration","docAbstract":"<p><span>American horseshoe crab&nbsp;</span><i>Limulus polyphemus</i><span>&nbsp;populations are recovering because of cooperation among diverse stakeholders and data-driven collective action.&nbsp;</span><i>Limulus polyphemus</i><span>&nbsp;is one of four extant species facing common threats, and conservation successes and limitations hold lessons applicable to all the species. We review the advancement in management and monitoring over recent decades, discuss the current population status throughout the species’ range, and describe the potential future status and recovery based on recent assessments. In retrospect,&nbsp;</span><i>L. polyphemus</i><span>&nbsp;conservation has followed the frameworks promoted by the International Union for the Conservation of Nature: mobilize networks to increase assessment capacity, engage diverse stakeholders, measure impacts, and amplify successes. Data show significantly increased populations in the Delaware Bay region and improved status in the Northeast. The average abundance of adults in Delaware Bay over the recent decade (2013–2022) is more than twice that in the previous decade (2003–2012). In 2022, the abundances for adult females and males in the Delaware Bay population were estimated to be 16 million and 40 million, respectively. However, reversing persistent poor conditions in some regions and mitigating the widespread threat of habitat loss from coastal development and sea level rise will rely on collaboration among diverse stakeholders to build upon the current conservation successes. Scientists and conservationists working on the horseshoe crab species indigenous to Asia are advancing along a similar track, establishing a monitoring network and mobilizing diverse stakeholders. However, there is a need for capacity building for robust assessment of the species in Asia to measure the impact of conservation, just as that need remains unmet for&nbsp;</span><i>L. polyphemus</i><span>&nbsp;in the Gulf of Mexico. The importance of partnerships and collaborations is apparent in their absence. The regions where partnerships and collaborations among researchers, conservationists, and agency scientists do not exist are those where the capacity for monitoring and assessment is notably lacking.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuae021","usgsCitation":"Smith, D.R., Botton, M., and Shin, P., 2025, Recovering the American horseshoe crab through a commitment to collaboration: Fisheries, v. 50, no. 6, p. 255-267, https://doi.org/10.1093/fshmag/vuae021.","productDescription":"13 p.","startPage":"255","endPage":"267","ipdsId":"IP-168316","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":483452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -68.4111673628184,\n              45.59557363731551\n            ],\n            [\n              -72.79604028478602,\n              43.2885548171144\n            ],\n            [\n              -79.18376394472423,\n              33.98021634745319\n            ],\n            [\n              -87.16366759369707,\n              30.59299121506301\n            ],\n            [\n              -91.00483741761445,\n              19.98230416811475\n            ],\n            [\n              -86.10209271501805,\n              20.250947939742574\n            ],\n            [\n              -86.48390972813229,\n              21.472770822927\n            ],\n            [\n              -80.01996169377958,\n              25.202938179984592\n            ],\n            [\n              -66.81672247791515,\n              44.529009105659156\n            ],\n            [\n              -68.4111673628184,\n              45.59557363731551\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":930940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Botton, Mark","contributorId":352360,"corporation":false,"usgs":false,"family":"Botton","given":"Mark","affiliations":[{"id":84189,"text":"Fordham University","active":true,"usgs":false}],"preferred":false,"id":930941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shin, Paul","contributorId":352361,"corporation":false,"usgs":false,"family":"Shin","given":"Paul","affiliations":[{"id":84190,"text":"University of Hong Kong,","active":true,"usgs":false}],"preferred":false,"id":930942,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70269033,"text":"70269033 - 2025 - Predictability and behavior of water transfers across basin boundaries","interactions":[],"lastModifiedDate":"2025-07-15T15:23:21.548418","indexId":"70269033","displayToPublicDate":"2024-12-31T10:12:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Predictability and behavior of water transfers across basin boundaries","docAbstract":"<p><span>Inter-basin water transfers (IBTs) are important components of water balances of basins, and they can have substantial impact on regional water availability. Flow information is often not available at locations with known IBTs, which is a drawback in several published IBT databases. Few, if any, studies examine whether IBT flow behavior can be generalized, and if these behaviors can be predicted at undocumented locations or known IBT locations with no flow information. In this study, we employ a clustering method based on image matching to identify similar classes of flow behavior of IBTs. Machine learning models are used to assess how well IBT flow characteristics (e.g., average flow) associated with these behaviors can be predicted. These evaluations of IBTs are done for two regions in the United States. Three primary classes of IBTs (seasonal, nonseasonal/not mixed, and seasonal/mixed) are identified across the two regions analyzed. The IBT flow characteristics are accurately predicted in the northeast region. In the Colorado region, however, only the flow characteristics related to timing were accurately predicted. These results indicate that the proposed modeling framework can be used to identify generalizable IBT flow characteristics. This framework is shown to predict flow characteristics with a reasonable amount of accuracy to undocumented locations and improves previously published IBT databases by backfilling flow information to locations with a known IBT presence.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13250","usgsCitation":"Eng, K., Medalie, L., Skinner, K.D., Ivahnenko, T., Heilman, J.A., and Smith, J.D., 2025, Predictability and behavior of water transfers across basin boundaries: Journal of the American Water Resources Association, v. 61, e13250, 15 p., https://doi.org/10.1111/1752-1688.13250.","productDescription":"e13250, 15 p.","ipdsId":"IP-147952","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":497991,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13250","text":"Publisher Index Page"},{"id":492245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Delaware, Kansas, Maryland, Massachusetts, Nebraska, New Jersey, New Mexico, New York, Ohio, Oklahoma, Pennsylvania, Utah, Vermont, Virginia, West Virginia, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.75734409961451,\n              45.09868924907843\n            ],\n            [\n              -80.97443752275147,\n              45.09868924907843\n            ],\n            [\n              -80.97443752275147,\n              38.117403832345445\n            ],\n            [\n              -72.75734409961451,\n              38.117403832345445\n            ],\n            [\n              -72.75734409961451,\n              45.09868924907843\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.52129035595209,\n              41.629774044376546\n            ],\n            [\n              -110.52129035595209,\n              35.490831922925224\n            ],\n            [\n              -100.9978185470249,\n              35.490831922925224\n            ],\n            [\n              -100.9978185470249,\n              41.629774044376546\n            ],\n            [\n              -110.52129035595209,\n              41.629774044376546\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"61","noUsgsAuthors":false,"publicationDate":"2024-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":942990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medalie, Laura 0000-0002-2440-2149","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":258234,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skinner, Kenneth D. 0000-0003-1774-6565","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":204388,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivahnenko, Tamara 0000-0002-1124-7688","orcid":"https://orcid.org/0000-0002-1124-7688","contributorId":344276,"corporation":false,"usgs":false,"family":"Ivahnenko","given":"Tamara","affiliations":[{"id":34498,"text":"USGS retiree","active":true,"usgs":false}],"preferred":false,"id":942993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heilman, Julian A. 0000-0002-2987-4057 jahr@usgs.gov","orcid":"https://orcid.org/0000-0002-2987-4057","contributorId":202192,"corporation":false,"usgs":true,"family":"Heilman","given":"Julian","email":"jahr@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Jared David 0000-0003-3124-8255","orcid":"https://orcid.org/0000-0003-3124-8255","contributorId":329716,"corporation":false,"usgs":true,"family":"Smith","given":"Jared","email":"","middleInitial":"David","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":942995,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70262887,"text":"70262887 - 2025 - Evaluation of a carbon dioxide fish barrier through numerical modelling","interactions":[],"lastModifiedDate":"2025-08-04T15:32:55.922477","indexId":"70262887","displayToPublicDate":"2024-11-20T09:17:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19917,"text":"Meccanica","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a carbon dioxide fish barrier through numerical modelling","docAbstract":"<p><span>The Chicago Area Waterway System (CAWS) is a potential route for the migration of aquatic invasive species from the Mississippi River Basin into the Great Lakes. Electric dispersal barriers were installed in the Chicago Sanitary Ship Canal, within CAWS, to prevent invasive fish from reaching the Great Lakes. Despite the high efficiency of these barriers, occasional maintenance events create a vulnerability that fish can exploit to access the Great Lakes. This study aimed to assess the feasibility of a carbon dioxide (CO</span><sub>2</sub><span>) infusion system to deter fish during the maintenance of the electric barriers. An algebraic slip mixture model was implemented in the OpenFOAM solver to represent the underwater CO</span><sub>2</sub><span>&nbsp;bubble plume and predict the concentration of dissolved CO</span><sub>2</sub><span>&nbsp;in the canal. Simulations under three canal flowrates and two sparger systems were conducted assuming a constant gas flowrate. Numerical results indicate that, for all simulated conditions, the CO</span><sub>2</sub><span>&nbsp;concentration is not fully mixed creating passageways that invasive fish could potentially use to migrate upstream. Injecting 4-mm bubbles induces two large-scale recirculations that are expected to synergistically improve fish avoidance. On the other hand, injection of 20 </span><span class=\"mathjax-tex\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow class=&quot;MJX-TeXAtom-ORD&quot;><mtext fontfamily=&quot;Times&quot;>&amp;#x03BC;</mtext></mrow></math>\"><span class=\"MJX_Assistive_MathML\">μ</span></span></span><span>m bubbles results on almost immediate dissolution with minimal effect on the flow pattern. To improve effectiveness, a gas pulse system was proposed and numerically evaluated. Based on the simulations, this system not only extends the operation of the CO</span><sub>2</sub><span>&nbsp;barrier but also increases efficiency creating CO</span><sub>2</sub><span>&nbsp;gradients that can promote a more responsive behaviour from fish. Moreover, the pulse concept mitigates potential effect of elevated CO</span><sub>2</sub><span>&nbsp;downstream from the treated area.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11012-024-01865-4","usgsCitation":"Politano, M., Cupp, A.R., Smith, D., Schemmel, A., Jackson, P.R., and Zuercher, J., 2025, Evaluation of a carbon dioxide fish barrier through numerical modelling: Meccanica, v. 60, p. 1545-1560, https://doi.org/10.1007/s11012-024-01865-4.","productDescription":"16 p.","startPage":"1545","endPage":"1560","ipdsId":"IP-137990","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":481413,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":489897,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11012-024-01865-4","text":"Publisher Index Page"}],"country":"United States","state":"Illinois","otherGeospatial":"Chicago Area Waterway System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.45983154395925,\n              42.02832638639134\n            ],\n            [\n              -90.20558925432896,\n              41.259762660479\n            ],\n            [\n              -90.92604657930856,\n              39.60224792913861\n            ],\n            [\n              -90.53687833366651,\n              38.885040787768844\n            ],\n            [\n              -87.74374273887783,\n              40.64793845408764\n            ],\n            [\n              -87.45983154395925,\n              42.02832638639134\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","noUsgsAuthors":false,"publicationDate":"2024-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Politano, Marcela","contributorId":349914,"corporation":false,"usgs":false,"family":"Politano","given":"Marcela","affiliations":[{"id":18947,"text":"USACE ERDC","active":true,"usgs":false}],"preferred":false,"id":925191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":925192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David","contributorId":261251,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":52784,"text":"U.S. Department of Agriculture, Economic Research Service","active":true,"usgs":false}],"preferred":false,"id":925193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schemmel, Avery","contributorId":349915,"corporation":false,"usgs":false,"family":"Schemmel","given":"Avery","affiliations":[{"id":83534,"text":"U.S. Army Corps of Engineers (USACE- ERDC)","active":true,"usgs":false}],"preferred":false,"id":925194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zuercher, Jeff","contributorId":349916,"corporation":false,"usgs":false,"family":"Zuercher","given":"Jeff","affiliations":[{"id":83535,"text":"USACE, Chicago District","active":true,"usgs":false}],"preferred":false,"id":925196,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70262170,"text":"70262170 - 2025 - Estimating recruitment rate and population dynamics at a migratory stopover site using an integrated population model","interactions":[],"lastModifiedDate":"2025-01-15T16:49:46.046539","indexId":"70262170","displayToPublicDate":"2023-02-21T10:44:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Estimating recruitment rate and population dynamics at a migratory stopover site using an integrated population model","docAbstract":"<p><span>Consideration of the full annual cycle population dynamics can provide useful insight for conservation efforts, but collecting data needed to estimate demographic parameters is often logistically difficult. For species that breed in remote areas, monitoring is often conducted during migratory stopover or at nonbreeding sites, and the recruitment rate of new breeding adults can be difficult to estimate directly. Here, we present an integrated population model that uses mark-resight and count data to estimate survival probability, population growth rate, and recruitment rate for an Arctic-breeding shorebird of conservation concern, the red knot (</span><i>Calidris canutus rufa</i><span>), from data collected during spring stopover in Delaware Bay, USA, from 2005 to 2018. At this site, red knots feed primarily on the eggs of spawning horseshoe crabs (</span><i>Limulus polyphemus</i><span>), a legally harvested species. We used this model to estimate the relationship between horseshoe crab abundance and red knot demographics, which informed a recent revision to the framework used to establish horseshoe crab harvest regulations. Our analysis indicates that the red knot population was most likely stable from 2005 to 2018 (average λ = 1.03, 95% credible interval [CRI]: 0.961, 1.15) despite low recruitment rates (average ρ = 0.088, 95% CRI: 0.012, 0.18). Adult survival probability was positively associated with horseshoe crab abundance in the same year (β = 0.35, 95% CRI: 0.09, 0.63), but we found no effect of horseshoe crab abundance two years previously on recruitment of new adults (β = −0.08, 95% CRI: −0.41, 0.38). Our approach demonstrates the utility of integrated population models for understanding population dynamics, even when data are only available from migratory stopover monitoring.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4439","usgsCitation":"Tucker, A.M., McGowan, C., Nuse, B., Lyons, J.E., Moore, C.T., Smith, D.R., Sweka, J., Anstead, K., DeRose-Wilson, A., and Clark, N., 2025, Estimating recruitment rate and population dynamics at a migratory stopover site using an integrated population model: Ecosphere, v. 14, no. 2, e4439, 16 p., https://doi.org/10.1002/ecs2.4439.","productDescription":"e4439, 16 p.","ipdsId":"IP-139218","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":466693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4439","text":"Publisher Index Page"},{"id":466429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.68003613362366,\n              39.75828902455723\n            ],\n            [\n              -75.68003613362366,\n              38.72868626218502\n            ],\n            [\n              -74.8091737193643,\n              38.72868626218502\n            ],\n            [\n              -74.8091737193643,\n              39.75828902455723\n            ],\n            [\n              -75.68003613362366,\n              39.75828902455723\n            ]\n          ]\n        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L.","contributorId":348305,"corporation":false,"usgs":false,"family":"Nuse","given":"Bryan L.","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":923342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":923343,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":923344,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":923345,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sweka, John A.","contributorId":348306,"corporation":false,"usgs":false,"family":"Sweka","given":"John A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":923346,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anstead, Kristen A.","contributorId":348307,"corporation":false,"usgs":false,"family":"Anstead","given":"Kristen A.","affiliations":[{"id":83332,"text":"Atlantic States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":923347,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeRose-Wilson, Audrey","contributorId":348308,"corporation":false,"usgs":false,"family":"DeRose-Wilson","given":"Audrey","affiliations":[{"id":36379,"text":"Delaware Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":923348,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clark, Nigel A.","contributorId":348310,"corporation":false,"usgs":false,"family":"Clark","given":"Nigel A.","affiliations":[{"id":38864,"text":"British Trust for Ornithology","active":true,"usgs":false}],"preferred":false,"id":923349,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70259587,"text":"70259587 - 2024 - Predictive understanding of stream salinization in a developed watershed using machine learning","interactions":[],"lastModifiedDate":"2024-10-23T16:27:38.970197","indexId":"70259587","displayToPublicDate":"2024-10-11T07:01:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Predictive understanding of stream salinization in a developed watershed using machine learning","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Stream salinization is a global issue, yet few models can provide reliable salinity estimates for unmonitored locations at the time scales required for ecological exposure assessments. Machine learning approaches are presented that use spatially limited high-frequency monitoring and spatially distributed discrete samples to estimate the daily stream-specific conductance across a watershed. We compare the predictive performance of space- and time-unaware Random Forest models and space- and time-aware Recurrent Graph Convolution Neural Network models (KGE: 0.67 and 0.64, respectively) and use explainable artificial intelligence methods to interpret model predictions and understand salinization drivers. These models are applied to the Delaware River Basin, a developed watershed with diverse land uses that experiences anthropogenic salinization from winter deicer applications. These models capture seasonality for the winter first flush of deicers, and the streams with elevated predictions correspond well with indicators of deicer application. This result suggests that these models can be used to identify potential salinity-impaired streams for winter best management practices. Daily salinity predictions are driven primarily by land cover (urbanization) trends that may represent anthropogenic salinization processes and weather at time scales up to three months. Such modeling approaches are likely transferable to other watersheds and can be applied to further understand salinization risks and drivers.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c05004","usgsCitation":"Smith, J.D., Koenig, L.E., Sleckman, M.J., Appling, A.P., Sadler, J., DePaul, V.T., and Szabo, Z., 2024, Predictive understanding of stream salinization in a developed watershed using machine learning: Environmental Science and Technology, v. 58, no. 42, https://doi.org/10.1021/acs.est.4c05004.","productDescription":"12 p.","startPage":"18833","ipdsId":"IP-165549","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":489850,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c05004","text":"Publisher Index Page"},{"id":462904,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"42","edition":"18822","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Jared David 0000-0003-3124-8255","orcid":"https://orcid.org/0000-0003-3124-8255","contributorId":329716,"corporation":false,"usgs":true,"family":"Smith","given":"Jared","email":"","middleInitial":"David","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":915822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koenig, Lauren Elizabeth 0000-0002-7790-330X","orcid":"https://orcid.org/0000-0002-7790-330X","contributorId":295259,"corporation":false,"usgs":true,"family":"Koenig","given":"Lauren","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":915823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sleckman, Margaux Jeanne 0000-0002-1843-6932","orcid":"https://orcid.org/0000-0002-1843-6932","contributorId":295257,"corporation":false,"usgs":true,"family":"Sleckman","given":"Margaux","email":"","middleInitial":"Jeanne","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":915824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":915825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sadler, Jeffrey M 0000-0001-8776-4844","orcid":"https://orcid.org/0000-0001-8776-4844","contributorId":302989,"corporation":false,"usgs":false,"family":"Sadler","given":"Jeffrey M","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":915826,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DePaul, Vincent T. 0000-0002-7977-5217 vdepaul@usgs.gov","orcid":"https://orcid.org/0000-0002-7977-5217","contributorId":2778,"corporation":false,"usgs":true,"family":"DePaul","given":"Vincent","email":"vdepaul@usgs.gov","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915827,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Szabo, Zoltan 0000-0002-0760-9607","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":203408,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":915828,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70254333,"text":"70254333 - 2024 - Deep learning of estuary salinity dynamics is physically accurate at a fraction of hydrodynamic model computational cost","interactions":[],"lastModifiedDate":"2024-06-03T15:13:02.87373","indexId":"70254333","displayToPublicDate":"2024-04-05T06:28:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Deep learning of estuary salinity dynamics is physically accurate at a fraction of hydrodynamic model computational cost","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water supplies. Current state-of-the-art modeling approaches use hydrodynamic models, which can produce accurate results but are limited by significant computational costs. We developed a machine learning (ML) model to predict the 250 mg L<sup>−1</sup><span>&nbsp;</span>Cl<sup>−</sup><span>&nbsp;</span>isochlor, also known as the “salt front,” using daily river discharge, meteorological drivers, and tidal water level data. We use the ML model to predict the location of the salt front, measured in river miles (RM) along the Delaware River, during the period 2001–2020, and we compare predictions of the ML model to the hydrodynamic Coupled Ocean–Atmosphere-Wave-Sediment Transport (COAWST) model. The ML model predicts the location of the salt front with greater accuracy (root mean squared error [RMSE] = 2.52 RM) than the COAWST model does (RMSE = 5.36); however, the ML model struggles to predict extreme events. Furthermore, we use functional performance and expected gradients, tools from information theory and explainable artificial intelligence, to show that the ML model learns physically realistic relationships between the salt front location and drivers (particularly discharge and tidal water level). These results demonstrate how an ML modeling approach can provide predictive and functional accuracy at a significantly reduced computational cost compared to process-based models. In addition, these results provide support for using ML models in operational forecasting, scenario testing, management decisions, hindcasting, and resulting opportunities to understand past behavior and develop hypotheses.</p></div></div>","language":"English","publisher":"Association for the Science of Limnology and Oceanography","doi":"10.1002/lno.12549","usgsCitation":"Gorski, G., Cook, S.E., Snyder, A.M., Appling, A.P., Thompson, T.P., Smith, J.D., Warner, J.C., and Topp, S.N., 2024, Deep learning of estuary salinity dynamics is physically accurate at a fraction of hydrodynamic model computational cost: Limnology and Oceanography, v. 69, no. 5, p. 1070-1085, https://doi.org/10.1002/lno.12549.","productDescription":"16 p.","startPage":"1070","endPage":"1085","ipdsId":"IP-149607","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":439936,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.12549","text":"Publisher Index Page"},{"id":428823,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.88878399892371,\n              38.62907834222051\n            ],\n            [\n              -74.3394892780554,\n              38.62907834222051\n            ],\n            [\n              -74.3394892780554,\n              40.5719597423294\n            ],\n            [\n              -75.88878399892371,\n              40.5719597423294\n            ],\n            [\n              -75.88878399892371,\n              38.62907834222051\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"69","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Gorski, Galen 0000-0003-0083-4251","orcid":"https://orcid.org/0000-0003-0083-4251","contributorId":329714,"corporation":false,"usgs":true,"family":"Gorski","given":"Galen","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":901005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Salme Ellen 0000-0003-1129-6209","orcid":"https://orcid.org/0000-0003-1129-6209","contributorId":303775,"corporation":false,"usgs":true,"family":"Cook","given":"Salme","email":"","middleInitial":"Ellen","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":901006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snyder, Amelia Marie 0000-0002-3036-7247","orcid":"https://orcid.org/0000-0002-3036-7247","contributorId":329715,"corporation":false,"usgs":true,"family":"Snyder","given":"Amelia","email":"","middleInitial":"Marie","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":901007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":901008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Theodore Paul 0000-0001-7373-314X","orcid":"https://orcid.org/0000-0001-7373-314X","contributorId":295258,"corporation":false,"usgs":true,"family":"Thompson","given":"Theodore","email":"","middleInitial":"Paul","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":901009,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Jared David 0000-0003-3124-8255","orcid":"https://orcid.org/0000-0003-3124-8255","contributorId":329716,"corporation":false,"usgs":true,"family":"Smith","given":"Jared","email":"","middleInitial":"David","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":901010,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":258015,"corporation":false,"usgs":true,"family":"Warner","given":"John","email":"jcwarner@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":901011,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Topp, Simon Nemer 0000-0001-7741-5982","orcid":"https://orcid.org/0000-0001-7741-5982","contributorId":268229,"corporation":false,"usgs":true,"family":"Topp","given":"Simon","email":"","middleInitial":"Nemer","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":901012,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70252252,"text":"70252252 - 2024 - New diagnostic assessment of MCMC algorithm effectiveness, efficiency, reliability, and controllability","interactions":[],"lastModifiedDate":"2024-03-26T15:03:05.007788","indexId":"70252252","displayToPublicDate":"2024-03-18T06:42:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17179,"text":"IEEE Access","active":true,"publicationSubtype":{"id":10}},"title":"New diagnostic assessment of MCMC algorithm effectiveness, efficiency, reliability, and controllability","docAbstract":"<div class=\"u-mb-1\"><div>Markov Chain Monte Carlo (MCMC) is a robust statistical approach for estimating posterior distributions. However, the significant computational cost associated with MCMC presents a considerable challenge, complicating the selection of an appropriate algorithm tailored to the specific problem at hand. This study introduces a novel and comprehensive framework for evaluating the performance of MCMC algorithms, drawing inspiration from diagnostics used for multi-objective evolutionary algorithms. We employ visualizations to evaluate key algorithmic characteristics: Effectiveness (the ability to accurately find representative posterior modes, quantified by the Kullback-Leibler Divergence (KLD) andWasserstein Distance (WD)), Efficiency (the speed of posterior characterization), Reliability (consistency across different random seeds), and Controllability (insensitivity to hyperparameter variation). Evaluating three prominent MCMC algorithms—Metropolis-Hastings (MH), Adaptive Metropolis (AM), and Differential Evolution Adaptive Metropolis (DREAM)—on high-dimensional and bimodal test problems, our analysis uncovers several insights. First, across algorithms, the number of function evaluations most controls performance on the high-dimensional problem, while the number of chains most controls performance on the bimodal problem. While this suggests similar controllability across algorithms, differences emerge on the other algorithmic characteristics. For high numbers of functions evaluations, AM performs best on the high-dimensional problem, while for low (&lt;5) and high (&gt;15) chain counts, MH and AM perform best on the bimodal problem, as measured by KLD. However, outside these specific cases, DREAM consistently demonstrates superior efficiency and reliability, making it a robust choice for both high-dimensional and multimodal problems. These findings can inform MCMC algorithm selection for Bayesian inference applications, as well as hyperparameterization of the chosen algorithm...</div></div>","language":"English","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","doi":"10.1109/ACCESS.2024.3378752","usgsCitation":"KavianiHamedani, H., Quinn, J.D., and Smith, J.D., 2024, New diagnostic assessment of MCMC algorithm effectiveness, efficiency, reliability, and controllability: IEEE Access, v. 12, p. 42385-42400, https://doi.org/10.1109/ACCESS.2024.3378752.","productDescription":"16 p.","startPage":"42385","endPage":"42400","ipdsId":"IP-159625","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":440103,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/access.2024.3378752","text":"Publisher Index Page"},{"id":426884,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"KavianiHamedani, Hossein 0000-0002-9652-7418","orcid":"https://orcid.org/0000-0002-9652-7418","contributorId":334948,"corporation":false,"usgs":false,"family":"KavianiHamedani","given":"Hossein","email":"","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":897051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quinn, Julianne D. 0000-0001-7806-4416","orcid":"https://orcid.org/0000-0001-7806-4416","contributorId":334950,"corporation":false,"usgs":false,"family":"Quinn","given":"Julianne","email":"","middleInitial":"D.","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":897052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Jared David 0000-0003-3124-8255","orcid":"https://orcid.org/0000-0003-3124-8255","contributorId":329716,"corporation":false,"usgs":true,"family":"Smith","given":"Jared","email":"","middleInitial":"David","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":897053,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264990,"text":"70264990 - 2023 - The species status assessment: A framework for assessing species status and risk to support endangered species management decisions","interactions":[],"lastModifiedDate":"2025-06-16T15:39:44.034151","indexId":"70264990","displayToPublicDate":"2023-12-20T10:35:54","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The species status assessment: A framework for assessing species status and risk to support endangered species management decisions","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The codex of the Endangered Species Act, volume II","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Bloomsbury Publishing","usgsCitation":"McGowan, C., Allan, N., and Smith, D.R., 2023, The species status assessment: A framework for assessing species status and risk to support endangered species management decisions, chap. <i>of</i> The codex of the Endangered Species Act, volume II, p. 87-102.","productDescription":"16 p.","startPage":"87","endPage":"102","ipdsId":"IP-138969","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":490777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Volume II","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":932174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allan, Nathan","contributorId":340757,"corporation":false,"usgs":false,"family":"Allan","given":"Nathan","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":932175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David R. 0000-0001-9560-5210 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-9560-5210","contributorId":329849,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":932176,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70259400,"text":"70259400 - 2023 - A proposed methodology for conducting threats assessments within the Great Lakes Coregonines restoration framework","interactions":[],"lastModifiedDate":"2024-10-07T15:11:26.345198","indexId":"70259400","displayToPublicDate":"2023-12-01T10:02:12","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"A proposed methodology for conducting threats assessments within the Great Lakes Coregonines restoration framework","docAbstract":"<p>This document serves to fulfill the Coregonine Threats Assessment Science Team’s charge of providing a written recommendation for a methodology to conduct threats assessments for Great Lakes coregonines within the Coregonine Restoration Framework (CRF). Through a series of team meetings that included presentations by experts on five candidate threats assessment frameworks followed by structured deliberations, we came to consensus to recommend the threats assessment framework used by Fisheries and Oceans Canada under Canada’s Species at Risk Act, with three modifications: (1) a conceptual modeling step, (2) the use of a “point spreading” approach to incorporate uncertainty when scoring threats, and (3) the use of a modified Delphi or “estimate-talk-estimate” approach when scoring key elements in the assessment. We recommend that this approach be applied to the spatial units delineated by the CRF Resolve Taxonomy and Gap Analysis science teams. In brief, the assessment process includes providing background information on the spatial unit and threats under assessment, constructing a conceptual model linking threats to key processes and vital rates, and scoring or ranking threats across six elements: likelihood of occurrence, level of impact, strength of evidence, unit-level threat occurrence, unit-level threat frequency, and unit-level threat extent. We provide detailed instructions for completing each step of the assessment and generating associated results, with particular attention paid to our suggested modifications. </p><p>The Coregonine Threats Assessment Science Team also conducted two test runs to assess the applicability and effectiveness of our recommended framework for Great Lakes coregonine populations and their threats. We conducted these test runs on two examples of Great Lakes coregonines that represented two extremes of data availability, as well as two different management contexts. We chose Kiyi (Coregonus kiyi) in Lake Ontario as an example of a data-poor, extirpated population, and we chose Cisco (Coregonus artedi) in Lake Superior as an example of a data-rich, extant population. We provide the results of these test runs in Appendices 1-2. We also describe the lessons we learned from these test runs throughout this document and highlighted them in the “Recommendations for avoiding challenges during application” section.</p>","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Honsey, A.E., Smith, D.R., Bronte, C.R., Cook, A., Drake, D.A., Gorsky, D., Johnson, T., Mandrak, N.E., Roberts, J., and Sitar, S.P., 2023, A proposed methodology for conducting threats assessments within the Great Lakes Coregonines restoration framework, 67 p.","productDescription":"67 p.","ipdsId":"IP-170470","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":462644,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.greatlakesciscoes.org/restoration-framework/planning","linkFileType":{"id":5,"text":"html"}},{"id":462665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Honsey, Andrew Edgar 0000-0001-7535-1321","orcid":"https://orcid.org/0000-0001-7535-1321","contributorId":295468,"corporation":false,"usgs":true,"family":"Honsey","given":"Andrew","email":"","middleInitial":"Edgar","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":915155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":915156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bronte, Charles R.","contributorId":190727,"corporation":false,"usgs":false,"family":"Bronte","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":915157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Andy","contributorId":344968,"corporation":false,"usgs":false,"family":"Cook","given":"Andy","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":915158,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drake, D. Andrew R.","contributorId":272033,"corporation":false,"usgs":false,"family":"Drake","given":"D.","email":"","middleInitial":"Andrew R.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":915159,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gorsky, Dimitry","contributorId":251650,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":915160,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Timothy B.","contributorId":251690,"corporation":false,"usgs":false,"family":"Johnson","given":"Timothy B.","affiliations":[{"id":50374,"text":"Ontario Ministry of Natural Resources and Forests (OMNRF)","active":true,"usgs":false}],"preferred":false,"id":915161,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mandrak, Nicholas E.","contributorId":177869,"corporation":false,"usgs":false,"family":"Mandrak","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":915162,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roberts, James J. 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":915163,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sitar, Shawn P.","contributorId":181529,"corporation":false,"usgs":false,"family":"Sitar","given":"Shawn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":915164,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70250650,"text":"70250650 - 2023 - Plant size, latitude, and phylogeny explain within-population variability in herbivory","interactions":[],"lastModifiedDate":"2023-12-22T14:33:36.819866","indexId":"70250650","displayToPublicDate":"2023-11-09T07:16:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Plant size, latitude, and phylogeny explain within-population variability in herbivory","docAbstract":"<div>Interactions between plants and herbivores are central in most ecosystems, but their strength is highly variable. The amount of variability within a system is thought to influence most aspects of plant-herbivore biology, from ecological stability to plant defense evolution. Our understanding of what influences variability, however, is limited by sparse data. We collected standardized surveys of herbivory for 503 plant species at 790 sites across 116° of latitude. With these data, we show that within-population variability in herbivory increases with latitude, decreases with plant size, and is phylogenetically structured. Differences in the magnitude of variability are thus central to how plant-herbivore biology varies across macroscale gradients. We argue that increased focus on interaction variability will advance understanding of patterns of life on Earth.</div>","language":"English","publisher":"Science","doi":"10.1126/science.adh8830","usgsCitation":"The Herbivory Variability Network, Robinson, M., Abbott, K.C., Allen, W.J., Andrade, J., Angulo, D., Anjos, D., Anstett, D., Bagchi, R., Bagchi, S., Barbosa, M., Barrett, S., Baskett, C., Ben-Simchon, E., Bloodworth, K., Bronstein, J., Bruna, E., Buckley, Y., Burghardt, K., Bustos-Segura, C., Cacho, N.I., Calixto, E.S., Carvalho, R., Castagneyrol, B., Chiuffo, M., Cinoğlu, D., Cinto Mejia, E., Cock, M., Cogni, R., Cope, O., Cornelissen, T., Cortez, D., Crowder, D., Dallstream, C., Dattilo, W., Davis, J., Dimarco, R., Dole, H., Dyer, L., Egbon, I., Ejomah, A., Elderd, B.D., Endara, M., Eubanks, M., Everingham, S., Farah, K., Farias, R.D., Fernandes, G., Ferrante, M., Finn, A., Florjancic, G., Forister, M.L., Fox, Q., Frago, E., Franca, F.M., Getman-Pickering, A., Getman-Pickering, Z., Gooden, B., Gossner, M.M., Greig, K., Gripenberg, S., Groenteman, R., Grof-Tisza, P., Haack, N., Hahn, L., Hahn, P., Haq, S., Hennecke, J., Hermann, S., Holeski, L.M., Hutchinson, M., Inouye, B., Jackson, E., Kagiya, S., Kalwajtys, M., Karban, R., Kariyat, R., Keasar, T., Kersch-Becker, M., Kharouba, H., Kim, T., Kimuyu, D., Kluse, J., Koerner, S.E., Komatsu, K., Krishnan, S., Laihonen, M., Lamelas-Lopez, L., LaScaleia, M., Lecomte, N., Lehn, C., Li, X., Lindroth, R.L., LoPresti, E., Losada, M., Louthan, A.M., Luizzi, V., Lynn, J., Lyon, N., Maia, L., Maia, R., Mannall, T., Martin, B., Massad, T., McCall, A., McGurrin, K., Merwin, A., Mijango-Ramos, Z., Mills, C., Moles, A., Moore, C., Morrison, C., Moshobane, M., Muola, A., Nakadai, R., Nakajima, K., Novais, S., Ogbebor, C., Ohsaki, H., Pan, V.S., Pardikes, N., Parthasarathy, N., Pawar, R., Paynter, Q., Pearse, I., Penczykowski, R., Pepi, A., Pereira, C., Phartyal, S., Piper, F.I., Poveda, K., Pringle, E., Puy, J., Quijano, T., Quintero, C., Rasmann, S., Rosche, C., Rosenheim, L., Runyon, J.B., Sadeh, A., Sakata, Y., Salcido, D., Salgado-Luarte, C., Santos, B., Sapir, Y., Sasal, Y., Sato, Y., Sawant, M., Schroeder, H., Schumann, I., Segoli, M., Segre, H., Shelef, O., Shinohara, N., Singh, R.P., Smith, D., Sobral, M., Stotz, G., Tack, A., Tayal, M., Tooker, J., Torrico-Bazoberry, D., Tougeron, K., Underwood, N., Utsumi, S., Uyi, O., Vaca-Uribe, J., Valtonen, A., van Dijk, L., Vandvik, V., Villellas, J., Waller, L., Weber, M.G., Wetzel, W.C., Whitehead, S., Yamawo, A., Yim, S., Zehr, L., and Zhong, Z., 2023, Plant size, latitude, and phylogeny explain within-population variability in herbivory: Science, v. 382, p. 679-683, https://doi.org/10.1126/science.adh8830.","productDescription":"5 p.","startPage":"679","endPage":"683","ipdsId":"IP-148468","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":441640,"rank":0,"type":{"id":41,"text":"Open 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Las Condes 12461, Las Condes, Chile","active":true,"usgs":false}],"preferred":false,"id":890869,"contributorType":{"id":1,"text":"Authors"},"rank":162},{"text":"Tougeron, Kevin 0000-0003-4897-3787","orcid":"https://orcid.org/0000-0003-4897-3787","contributorId":332756,"corporation":false,"usgs":false,"family":"Tougeron","given":"Kevin","email":"","affiliations":[{"id":79637,"text":"33, rue St Leu, 80000 Amiens, France","active":true,"usgs":false}],"preferred":false,"id":890870,"contributorType":{"id":1,"text":"Authors"},"rank":163},{"text":"Underwood, Nora 0000-0003-3312-5064","orcid":"https://orcid.org/0000-0003-3312-5064","contributorId":332757,"corporation":false,"usgs":false,"family":"Underwood","given":"Nora","email":"","affiliations":[{"id":79638,"text":"Florida State University, Tallahassee, 32301, FL, USA","active":true,"usgs":false}],"preferred":false,"id":890871,"contributorType":{"id":1,"text":"Authors"},"rank":164},{"text":"Utsumi, Shunsuke 0000-0003-1558-8073","orcid":"https://orcid.org/0000-0003-1558-8073","contributorId":332758,"corporation":false,"usgs":false,"family":"Utsumi","given":"Shunsuke","affiliations":[{"id":79569,"text":"Hokkaido University, Kita 9 Nishi 9, Sapporo, Hokkaido, Japan","active":true,"usgs":false}],"preferred":false,"id":890872,"contributorType":{"id":1,"text":"Authors"},"rank":165},{"text":"Uyi, Osariyekemwen 0000-0001-5268-4676","orcid":"https://orcid.org/0000-0001-5268-4676","contributorId":332759,"corporation":false,"usgs":false,"family":"Uyi","given":"Osariyekemwen","email":"","affiliations":[{"id":79639,"text":"University of Benin, Ugbowo-Lagos Road, Benin City, Nigeria","active":true,"usgs":false}],"preferred":false,"id":890873,"contributorType":{"id":1,"text":"Authors"},"rank":166},{"text":"Vaca-Uribe, Jessica 0000-0003-0978-9696","orcid":"https://orcid.org/0000-0003-0978-9696","contributorId":332760,"corporation":false,"usgs":false,"family":"Vaca-Uribe","given":"Jessica","email":"","affiliations":[{"id":79640,"text":"Corporación Universitaria Minuto de Dios UNIMINUTO, Bogotá,111021, Colombia","active":true,"usgs":false}],"preferred":false,"id":890874,"contributorType":{"id":1,"text":"Authors"},"rank":167},{"text":"Valtonen, Anu 0000-0003-1532-1563","orcid":"https://orcid.org/0000-0003-1532-1563","contributorId":332761,"corporation":false,"usgs":false,"family":"Valtonen","given":"Anu","email":"","affiliations":[{"id":79641,"text":"University of Eastern Finland, P.O. Box 111, 80101 Joensuu, Finland","active":true,"usgs":false}],"preferred":false,"id":890875,"contributorType":{"id":1,"text":"Authors"},"rank":168},{"text":"van Dijk, Laura 0000-0003-1015-8496","orcid":"https://orcid.org/0000-0003-1015-8496","contributorId":332762,"corporation":false,"usgs":false,"family":"van Dijk","given":"Laura","email":"","affiliations":[{"id":79642,"text":"Stockholm University, Stockholm, Sweden","active":true,"usgs":false}],"preferred":false,"id":890876,"contributorType":{"id":1,"text":"Authors"},"rank":169},{"text":"Vandvik, Vigdis","contributorId":266133,"corporation":false,"usgs":false,"family":"Vandvik","given":"Vigdis","email":"","affiliations":[{"id":54904,"text":"Department of Biological Sciences & Bjerknes Centre for Climate Research, University of Bergen, PO Box 7801, N-5020 Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":890877,"contributorType":{"id":1,"text":"Authors"},"rank":170},{"text":"Villellas, Jesus 0000-0001-7805-5683","orcid":"https://orcid.org/0000-0001-7805-5683","contributorId":332763,"corporation":false,"usgs":false,"family":"Villellas","given":"Jesus","email":"","affiliations":[{"id":79643,"text":"University of Alcalá, 28805, Alcalá de Henares, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":890878,"contributorType":{"id":1,"text":"Authors"},"rank":171},{"text":"Waller, Lauren 0000-0002-7110-6027","orcid":"https://orcid.org/0000-0002-7110-6027","contributorId":332764,"corporation":false,"usgs":false,"family":"Waller","given":"Lauren","email":"","affiliations":[{"id":79644,"text":"Lincoln University, Lincoln 7647, New Zealand","active":true,"usgs":false}],"preferred":false,"id":890879,"contributorType":{"id":1,"text":"Authors"},"rank":172},{"text":"Weber, Marjorie G.","contributorId":229442,"corporation":false,"usgs":false,"family":"Weber","given":"Marjorie","email":"","middleInitial":"G.","affiliations":[{"id":41642,"text":"Michigan State U","active":true,"usgs":false}],"preferred":false,"id":890880,"contributorType":{"id":1,"text":"Authors"},"rank":173},{"text":"Wetzel, William C.","contributorId":229437,"corporation":false,"usgs":false,"family":"Wetzel","given":"William","email":"","middleInitial":"C.","affiliations":[{"id":41642,"text":"Michigan State U","active":true,"usgs":false}],"preferred":false,"id":890881,"contributorType":{"id":1,"text":"Authors"},"rank":174},{"text":"Whitehead, Susan 0000-0002-7089-4594","orcid":"https://orcid.org/0000-0002-7089-4594","contributorId":332765,"corporation":false,"usgs":false,"family":"Whitehead","given":"Susan","email":"","affiliations":[{"id":79555,"text":"Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA","active":true,"usgs":false}],"preferred":false,"id":890882,"contributorType":{"id":1,"text":"Authors"},"rank":175},{"text":"Yamawo, Akira 0000-0003-2928-8151","orcid":"https://orcid.org/0000-0003-2928-8151","contributorId":332766,"corporation":false,"usgs":false,"family":"Yamawo","given":"Akira","email":"","affiliations":[{"id":79599,"text":"Faculty of Agriculture and Life Science, Hirosaki University, 3 Bunkyo-cho, Hirosaki, Aomori 036-8561, Japan","active":true,"usgs":false}],"preferred":false,"id":890883,"contributorType":{"id":1,"text":"Authors"},"rank":176},{"text":"Yim, Samantha","contributorId":332767,"corporation":false,"usgs":false,"family":"Yim","given":"Samantha","email":"","affiliations":[{"id":79645,"text":"University of Nevada, Reno, 1664 N Virginia St Reno, NV 89557","active":true,"usgs":false}],"preferred":false,"id":890884,"contributorType":{"id":1,"text":"Authors"},"rank":177},{"text":"Zehr, Luke 0000-0003-4311-5150","orcid":"https://orcid.org/0000-0003-4311-5150","contributorId":332768,"corporation":false,"usgs":false,"family":"Zehr","given":"Luke","email":"","affiliations":[{"id":79519,"text":"Michigan State University, East Lansing, 48824, Michigan, USA","active":true,"usgs":false}],"preferred":false,"id":890885,"contributorType":{"id":1,"text":"Authors"},"rank":178},{"text":"Zhong, Zhiwei 0000-0001-8598-961X","orcid":"https://orcid.org/0000-0001-8598-961X","contributorId":332769,"corporation":false,"usgs":false,"family":"Zhong","given":"Zhiwei","email":"","affiliations":[{"id":79646,"text":"Northeast Normal University, 5268 Renmin St., 130024, Changchun, Jilin Province, China","active":true,"usgs":false}],"preferred":false,"id":890886,"contributorType":{"id":1,"text":"Authors"},"rank":179}]}}
,{"id":70248757,"text":"70248757 - 2023 - Application of a catch multiple survey analysis for Atlantic horseshoe crab Limulus polyphemus in the Delaware Bay","interactions":[],"lastModifiedDate":"2023-09-20T15:08:03.924703","indexId":"70248757","displayToPublicDate":"2023-09-12T07:03:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Application of a catch multiple survey analysis for Atlantic horseshoe crab <i>Limulus polyphemus</i> in the Delaware Bay","title":"Application of a catch multiple survey analysis for Atlantic horseshoe crab Limulus polyphemus in the Delaware Bay","docAbstract":"<h3 id=\"mcf210250-sec-0101-title\" class=\"article-section__sub-title section1\">Objective</h3><p>This paper applies a catch multiple survey analysis (CMSA) to Atlantic horseshoe crabs<span>&nbsp;</span><i>Limulus polyphemus</i><span>&nbsp;</span>in the Delaware Bay to generate robust population estimates for harvest management. Currently, horseshoe crabs along the U.S. Atlantic coast are harvested as bait for other fisheries and collected for their blood, which is used in a biomedical industry. The Delaware Bay is home to the largest population of horseshoe crabs and is a significant stopover for shorebirds to rebuild energy by consuming horseshoe crab eggs prior to completing their northward migration. To address this interrelationship, the Adaptive Resource Management (ARM) Framework has been used since 2013 to ensure that horseshoe crab harvest within the region takes into account the forage needs of migratory birds. Since its inception, the ARM Framework has used a single trawl survey's swept area-based population estimates of horseshoe crab relative abundance and a theoretical population model developed primarily from literature-derived values. With more data collected in the region in recent years and other sources of mortality that can now be quantified, a catch survey model can provide horseshoe crab population estimates going forward.</p><h3 id=\"mcf210250-sec-0102-title\" class=\"article-section__sub-title section1\">Methods</h3><p>A CMSA was used to estimate male and female horseshoe crab population size for 2003–2021 using all quantifiable sources of mortality and three fishery-independent indices of abundance.</p><h3 id=\"mcf210250-sec-0103-title\" class=\"article-section__sub-title section1\">Result</h3><p>The CMSA results indicated that adult abundance of male and female horseshoe crabs was stable from 2003 to 2013 and then began to increase through 2017, a result that is consistent with stock rebuilding following a period of harvest restrictions as recommended by the ARM Framework. Population estimates were lower in recent years but remained above the levels estimated before implementation of the ARM Framework. In 2021, the CMSA estimated that there were over 6 million mature females and nearly 16 million mature male horseshoe crabs in the region.</p><h3 id=\"mcf210250-sec-0104-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>The CMSA provides the best and most comprehensive population estimates of horseshoe crabs in Delaware Bay and will improve modeling efforts within the ARM Framework going forward.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10250","usgsCitation":"Anstead, K.A., Sweka, J., Barry, L., Hallerman, E., Smith, D.R., Ameral, N., Schmidtke, M., and Wong, R.A., 2023, Application of a catch multiple survey analysis for Atlantic horseshoe crab Limulus polyphemus in the Delaware Bay: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 15, no. 5, e10250, 16 p., https://doi.org/10.1002/mcf2.10250.","productDescription":"e10250, 16 p.","ipdsId":"IP-154235","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":442129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10250","text":"Publisher Index Page"},{"id":420973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.0255903899312,\n              40.963933240903344\n            ],\n            [\n              -76.0255903899312,\n              37.040030719320384\n            ],\n            [\n              -73.65356124067296,\n              37.040030719320384\n            ],\n            [\n              -73.65356124067296,\n              40.963933240903344\n            ],\n            [\n              -76.0255903899312,\n              40.963933240903344\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Anstead, Kristen A.","contributorId":329847,"corporation":false,"usgs":false,"family":"Anstead","given":"Kristen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":883459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweka, John A.","contributorId":288581,"corporation":false,"usgs":false,"family":"Sweka","given":"John A.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":883460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barry, Linda","contributorId":329848,"corporation":false,"usgs":false,"family":"Barry","given":"Linda","email":"","affiliations":[],"preferred":false,"id":883461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hallerman, Eric M.","contributorId":279474,"corporation":false,"usgs":false,"family":"Hallerman","given":"Eric M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":883462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, David R. 0000-0001-9560-5210 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-9560-5210","contributorId":329849,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":883463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ameral, Natalie","contributorId":329850,"corporation":false,"usgs":false,"family":"Ameral","given":"Natalie","email":"","affiliations":[],"preferred":false,"id":883464,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidtke, Michael","contributorId":329851,"corporation":false,"usgs":false,"family":"Schmidtke","given":"Michael","email":"","affiliations":[],"preferred":false,"id":883465,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wong, Richard A.","contributorId":329852,"corporation":false,"usgs":false,"family":"Wong","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":883466,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70252793,"text":"70252793 - 2023 - Application of the technology readiness levels framework to natural resource management tools","interactions":[],"lastModifiedDate":"2024-04-05T14:57:41.408788","indexId":"70252793","displayToPublicDate":"2023-08-09T09:55:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Application of the technology readiness levels framework to natural resource management tools","docAbstract":"<p><span>Technology advancements in fisheries science can provide useful tools to support natural resource management and conservation. However, new technologies may also present challenges for decision makers due to the lack of a standardized process to assess technologies for consideration within management plans. Future technology development in fishery and water resources could benefit from a framework that assigns an appropriate technology development stage and defines the readiness for implementation. Technology Readiness Levels (TRL) are one established research and development scale used throughout engineering and related disciplines that could be applied to natural resource management tools. The TRL assess the maturity of a technology from nascent idea through a fully developed technology. Steps within this scale could provide a general framework for researchers to follow when planning and conducting studies, while similarly providing a standard scale for resource managers to assess readiness for technology transfer and implementation. The goal of this paper is to describe TRL in the context of natural resource management tools and offer this existing framework as one option to facilitate communication between researchers and managers.</span></p>","language":"English","publisher":"American fisheries Society","doi":"10.1002/fsh.10982","usgsCitation":"Cupp, A.R., Fritts, A.K., Brey, M.K., Woodley, C., Smith, D., Cornish, M., McGovern, A., Simmonds, R., and Jackson, N., 2023, Application of the technology readiness levels framework to natural resource management tools: Fisheries, v. 48, no. 11, p. 474-479, https://doi.org/10.1002/fsh.10982.","productDescription":"6 p.","startPage":"474","endPage":"479","ipdsId":"IP-153278","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":442473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fsh.10982","text":"Publisher Index Page"},{"id":427515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":898233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritts, Andrea K. 0000-0003-2142-3339","orcid":"https://orcid.org/0000-0003-2142-3339","contributorId":204594,"corporation":false,"usgs":true,"family":"Fritts","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":898234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":898235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodley, Christa M.","contributorId":301986,"corporation":false,"usgs":false,"family":"Woodley","given":"Christa M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":898236,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, David 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":1989,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":898237,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cornish, Mark","contributorId":203379,"corporation":false,"usgs":false,"family":"Cornish","given":"Mark","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":898238,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGovern, Amy","contributorId":335384,"corporation":false,"usgs":false,"family":"McGovern","given":"Amy","email":"","affiliations":[{"id":80390,"text":"USFWS Regional Office","active":true,"usgs":false}],"preferred":false,"id":898239,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Simmonds, Rob","contributorId":317890,"corporation":false,"usgs":false,"family":"Simmonds","given":"Rob","email":"","affiliations":[{"id":68344,"text":"U.S. Fish and Wildlife Service (USFWS)","active":true,"usgs":false}],"preferred":false,"id":898240,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jackson, Neal","contributorId":203382,"corporation":false,"usgs":false,"family":"Jackson","given":"Neal","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":898241,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70247753,"text":"70247753 - 2023 - Assessment of recovery potential for the American horseshoe crab (Limulus polyphemus): An application of the IUCN green status process","interactions":[],"lastModifiedDate":"2023-11-07T15:32:17.216838","indexId":"70247753","displayToPublicDate":"2023-08-04T07:15:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Assessment of recovery potential for the American horseshoe crab (<i>Limulus polyphemus</i>): An application of the IUCN green status process","title":"Assessment of recovery potential for the American horseshoe crab (Limulus polyphemus): An application of the IUCN green status process","docAbstract":"<ol class=\"\"><li>According to an International Union for Conservation of Nature (IUCN) Red List assessment (RLA), the American horseshoe crab (<i>Limulus polyphemus</i>), an iconic coastal species, is at risk of extirpation in some regions within its range where small and vulnerable populations occur. However, the RLA does not consider future status beyond viability and does not attempt to identify the conservation necessary to effectively mitigate threats and recover the species to full ecological functionality. To aid in conservation planning for vulnerable species, the IUCN developed the Green Status of Species assessment (GSA) process to complement the RLA.</li><li>This paper describes the application of the GSA process to assess the recovery potential of the American horseshoe crab. First, specific<span>&nbsp;</span><i>Limulus</i><span>&nbsp;</span>populations within spatial units for conservation were delineated, and their statuses were defined based on viability and ecological functionality. Then conservation actions were identified that would promote recovery and affect their near- and long-term population status under different conservation scenarios.</li><li>Horseshoe crab conservation has relied on, and will continue to depend on, effective harvest regulation. However, as currently conceived, conservation is not expected to mitigate habitat loss at the scale required to restore range-wide ecological functionality, primarily because habitat loss is widespread and affected by climate change. Thus, the GSA results, while indicating that there is potential for near-term recovery gains, reveal that long-term recovery is in doubt owing to expected loss of habitat.</li><li>To conserve critical habitats for spawning and early life stages and achieve ecological functionality, it is imperative to identify and develop conservation plans at appropriate spatial scales. Unfortunately, such plans do not currently exist and need to be established. The GSA Green Score can then serve as a metric for monitoring recovery and gauging the effectiveness of conservation implementation.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1002/aqc.3990","usgsCitation":"Smith, D.R., Brockmann, H.J., Carmichael, R.H., Hallerman, E., Watson, W., and Zaldivar-Rae, J., 2023, Assessment of recovery potential for the American horseshoe crab (Limulus polyphemus): An application of the IUCN green status process: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 33, no. 11, p. 1175-1199, https://doi.org/10.1002/aqc.3990.","productDescription":"25 p.","startPage":"1175","endPage":"1199","ipdsId":"IP-150297","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":442511,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/aqc.3990","text":"Publisher Index Page"},{"id":419881,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":880277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brockmann, H. Jane","contributorId":199472,"corporation":false,"usgs":false,"family":"Brockmann","given":"H.","email":"","middleInitial":"Jane","affiliations":[{"id":12558,"text":"University of Florida, Gainesville","active":true,"usgs":false}],"preferred":false,"id":880278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carmichael, Ruth H.","contributorId":23420,"corporation":false,"usgs":false,"family":"Carmichael","given":"Ruth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":880279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hallerman, Eric M.","contributorId":279474,"corporation":false,"usgs":false,"family":"Hallerman","given":"Eric M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":880280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watson, W.M.","contributorId":189601,"corporation":false,"usgs":false,"family":"Watson","given":"W.M.","email":"","affiliations":[],"preferred":false,"id":880281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zaldivar-Rae, Jaime","contributorId":328477,"corporation":false,"usgs":false,"family":"Zaldivar-Rae","given":"Jaime","affiliations":[{"id":78374,"text":"Universidad Anahuc Mayab","active":true,"usgs":false}],"preferred":false,"id":880282,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70247391,"text":"70247391 - 2023 - Movement and behavioral states of common carp (Cyprinus carpio) in response to a behavioral deterrent in a navigational lock","interactions":[],"lastModifiedDate":"2023-08-02T14:53:36.421758","indexId":"70247391","displayToPublicDate":"2023-07-26T09:43:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Movement and behavioral states of common carp (<i>Cyprinus carpio</i>) in response to a behavioral deterrent in a navigational lock","title":"Movement and behavioral states of common carp (Cyprinus carpio) in response to a behavioral deterrent in a navigational lock","docAbstract":"<p><span>Freshwater ecosystems are some of the most affected by biological invasions due, in part, to the introduction of invasive carp worldwide. Where carp have become established, management programs often seek to limit further range expansion into new areas by reducing their movement through interconnected rivers and waterways. Lock and dams are important locations for non-physical deterrents, such as carbon dioxide (CO</span><sub>2</sub><span>), to reduce unwanted fish passage without disrupting human use. The purpose of this study was to evaluate the behavioral responses of common carp (</span><i>Cyprinus carpio</i><span>) to non-physical deterrents within a navigation structure on the Fox River, Wisconsin. Acoustic telemetry combined with hidden Markov models (HMMs) was used to analyze variation in carp responses to treatments. Outcomes may inform CO</span><sub>2</sub><span>&nbsp;effectiveness at preventing invasive carp movement through movement pinch-points.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-023-00396-z","usgsCitation":"Raboin, M.J., Plumb, J., Sholtis, M.D., Smith, D., Jackson, P.R., Rivera, J., Suski, C., and Cupp, A.R., 2023, Movement and behavioral states of common carp (Cyprinus carpio) in response to a behavioral deterrent in a navigational lock: Movement Ecology, v. 11, 42, 16 p., https://doi.org/10.1186/s40462-023-00396-z.","productDescription":"42, 16 p.","ipdsId":"IP-148214","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":442636,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-023-00396-z","text":"Publisher Index Page"},{"id":435240,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B8SRMW","text":"USGS data release","linkHelpText":"Acoustic Telemetry Evaluation of Invasive Carp in Kaukauna, Wisconsin (Summer 2019)"},{"id":419500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Fox River, Kaukauna locks","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.2903788929823,\n              44.27679879835844\n            ],\n            [\n              -88.30570324899331,\n              44.27679879835844\n            ],\n            [\n              -88.30570324899331,\n              44.270866037921394\n            ],\n            [\n              -88.2903788929823,\n              44.270866037921394\n            ],\n            [\n              -88.2903788929823,\n              44.27679879835844\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Raboin, Maggie Jo 0000-0002-1475-7253","orcid":"https://orcid.org/0000-0002-1475-7253","contributorId":317839,"corporation":false,"usgs":true,"family":"Raboin","given":"Maggie","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":879428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumb, John 0000-0003-4255-1612","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":223236,"corporation":false,"usgs":true,"family":"Plumb","given":"John","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":879429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sholtis, Matthew D. 0000-0003-1904-8250","orcid":"https://orcid.org/0000-0003-1904-8250","contributorId":317840,"corporation":false,"usgs":true,"family":"Sholtis","given":"Matthew","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":879430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, David","contributorId":261251,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":52784,"text":"U.S. Department of Agriculture, Economic Research Service","active":true,"usgs":false}],"preferred":false,"id":879431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rivera, Jose 0000-0003-3756-6860 jrivera@usgs.gov","orcid":"https://orcid.org/0000-0003-3756-6860","contributorId":201064,"corporation":false,"usgs":true,"family":"Rivera","given":"Jose","email":"jrivera@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":879433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Suski, C. D.","contributorId":190151,"corporation":false,"usgs":false,"family":"Suski","given":"C.","middleInitial":"D.","affiliations":[],"preferred":false,"id":879434,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":879435,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70244135,"text":"70244135 - 2023 - A science and management partnership to restore coregonine diversity to the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2023-12-04T16:58:14.23685","indexId":"70244135","displayToPublicDate":"2023-05-31T06:33:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5056,"text":"Environmental Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A science and management partnership to restore coregonine diversity to the Laurentian Great Lakes","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Similar to many freshwater ecosystems, the Laurentian Great Lakes of North America have undergone numerous anthropogenic stressors resulting in considerable loss of biodiversity and habitat. Among Great Lakes fishes, the coregonine sub-family has endured the most extensive declines, including extinction of several species (<i>Coregonus johannae, C. alpenae</i>, and<span>&nbsp;</span><i>C. kiyi orientalis</i>) and at least 10 instances of local extirpations of other species (<i>C. nigripinnis, C. reighardi, C. zenithicus, C. hoyi</i>, and<span>&nbsp;</span><i>C. artedi</i>) across all 5 lakes, much of which occurred prior to the 1960s owing to overfishing, interactions with non-indigenous species, and habitat loss. Despite these declines, no federal-, provincial-, or state-mandated actions were ever implemented to conserve coregonine diversity, potentially because so much of the coregonine declines occurred prior to the enactment of federal conservation legislation. Possible explanations for inaction since enactment of that legislation include insufficient data on biological vulnerability or threats, unresolved taxonomy, and limited support from the fishery management agencies and their stakeholders prior to the 2000s. In recent decades, however, several fishery management agencies have undertaken efforts to re-introduce coregonine diversity. These efforts helped lead to development of a science-based framework to restore coregonines that was universally endorsed by fishery managers representing eight U.S. states, four U.S. tribal organizations, and the province of ON, Canada, in May 2018. The basin-wide framework is based on principles of conservation biology and adaptive management. We describe details of its key steps, including planning, restoring, and evaluating, while also describing recent implementation efforts to develop methods, improve available resources, and enhance coordination across the basin. Although our paper describes a regional effort to restore native coregonines, our adaptive-management approach could be used by other multi-agency stakeholders seeking to conserve or restore native fishes.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/er-2022-0109","usgsCitation":"Bunnell, D.B., Ackiss, A.S., Alofs, K., Brant, C., Bronte, C.R., Claramunt, R.M., Dettmers, J.M., Honsey, A.E., Mandrak, N.E., Muir, A.M., Santucci, V., Smith, D.R., Strach, R.M., Sweka, J., Weidel, B., Mattes, W., and Newman, K.R., 2023, A science and management partnership to restore coregonine diversity to the Laurentian Great Lakes: Environmental Reviews, v. 31, no. 4, p. 716-738, https://doi.org/10.1139/er-2022-0109.","productDescription":"23 p.","startPage":"716","endPage":"738","ipdsId":"IP-144957","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":443283,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/er-2022-0109","text":"Publisher Index Page"},{"id":417732,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Laurentian Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.2526086888399,\n              49.471015599432235\n            ],\n            [\n              -93.2526086888399,\n              40.68807100980007\n            ],\n            [\n              -75.2427577407666,\n              40.68807100980007\n            ],\n            [\n              -75.2427577407666,\n              49.471015599432235\n            ],\n          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drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874579,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Strach, Russell M. 0000-0001-6762-8693","orcid":"https://orcid.org/0000-0001-6762-8693","contributorId":213883,"corporation":false,"usgs":true,"family":"Strach","given":"Russell","email":"","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":874580,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sweka, John A.","contributorId":288581,"corporation":false,"usgs":false,"family":"Sweka","given":"John A.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":874581,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":874582,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Mattes, William","contributorId":306053,"corporation":false,"usgs":false,"family":"Mattes","given":"William","email":"","affiliations":[{"id":16233,"text":"Great Lakes Indian Fish and Wildlife Commission","active":true,"usgs":false}],"preferred":false,"id":874583,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Newman, Kurt R. 0000-0003-0059-6046 knewman@usgs.gov","orcid":"https://orcid.org/0000-0003-0059-6046","contributorId":213882,"corporation":false,"usgs":true,"family":"Newman","given":"Kurt","email":"knewman@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":874584,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70244169,"text":"70244169 - 2023 - When are environmental DNA early detections of invasive species actionable?","interactions":[],"lastModifiedDate":"2023-06-06T11:45:06.863039","indexId":"70244169","displayToPublicDate":"2023-05-27T06:41:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"When are environmental DNA early detections of invasive species actionable?","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Environmental DNA (eDNA) sampling provides sensitive early detection capabilities for recently introduced taxa. However, natural resource managers struggle with how to integrate eDNA results into an early detection rapid response program because positive eDNA detections are not always indicative of an eventual infestation. We used a structured decision making (SDM) framework to evaluate appropriate response actions to hypothetical eDNA early detections of an introduced aquatic plant in Sebago Lake (Maine, USA). The results were juxtaposed to a recent study that used a similar SDM approach to evaluate response actions to hypothetical eDNA early detections of introduced mussels in Jordanelle Reservoir (Utah, USA). We found that eDNA early detections were not actionable in Sebago Lake because the plant's invasion potential was spatially constrained and the current management activities provided acceptable levels of mitigation. In Jordanelle Reservoir, eDNA detections were actionable due to high invasion potential and analyses supported management actions to contain the invasion. The divergent outcomes of the two case studies are related to the unique attributes of the habitats and species, highlighting the utility of the SDM approach when considering an eDNA monitoring program. We use these two case studies to present a general SDM framework and a set of heuristics that can be efficiently applied to eDNA early detection rapid response scenarios and other instances associated with indeterminant eDNA detections, especially when there is an imperative to make decisions as quickly as possible.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.118216","usgsCitation":"Sepulveda, A., Dumoulin, C.E., Blanchette, D.L., Mcphedran, J., Holme, C., Whalen, N., Hunter, M., Merkes, C.M., Richter, C.A., Neilson, M., Daniel, W., Jones-Slobodian, D.N., and Smith, D.R., 2023, When are environmental DNA early detections of invasive species actionable?: Journal of Environmental Management, v. 343, 118216, 11 p., https://doi.org/10.1016/j.jenvman.2023.118216.","productDescription":"118216, 11 p.","ipdsId":"IP-149995","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443331,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2023.118216","text":"Publisher Index Page"},{"id":435311,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S0UI5P","text":"USGS data release","linkHelpText":"Predicted consequences of detecting Najas minor environmental DNA in Sebago Lake Maine, 2022"},{"id":417804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Sebago Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      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Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":874708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcphedran, John","contributorId":177769,"corporation":false,"usgs":false,"family":"Mcphedran","given":"John","email":"","affiliations":[],"preferred":false,"id":874709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holme, Colin","contributorId":306084,"corporation":false,"usgs":false,"family":"Holme","given":"Colin","email":"","affiliations":[{"id":66366,"text":"Lakes Environmental Association, Bridgton, Maine","active":true,"usgs":false}],"preferred":false,"id":874710,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whalen, Nathan","contributorId":306085,"corporation":false,"usgs":false,"family":"Whalen","given":"Nathan","email":"","affiliations":[{"id":66367,"text":"Portland Water District, Portland, Maine","active":true,"usgs":false}],"preferred":false,"id":874711,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214958,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":874712,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":874713,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richter, Catherine A. 0000-0001-7322-4206 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and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":874716,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones-Slobodian, Devin Nicole 0000-0001-9215-2930","orcid":"https://orcid.org/0000-0001-9215-2930","contributorId":305357,"corporation":false,"usgs":true,"family":"Jones-Slobodian","given":"Devin","middleInitial":"Nicole","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":874717,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874718,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70243973,"text":"70243973 - 2023 - Creating conservation strategies with value-focused thinking","interactions":[],"lastModifiedDate":"2023-10-11T15:25:58.948879","indexId":"70243973","displayToPublicDate":"2023-05-05T09:52:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Creating conservation strategies with value-focused thinking","docAbstract":"<p><span>Biodiversity and human well-being strategies are only as good as the set of ideas that people think about. This article evaluates value-focused thinking (VFT), a framework that focuses on creating objectives and strategy ideas that are responsive to the objectives. We performed a proof-of-concept study of VFT on six planning teams at a global conservation organization. We developed a package of support materials, including session agendas, a virtual facilitation template, facilitator's guide, and evaluation questionnaires. The study tested whether VFT resulted in a set of quality strategies, resulted in participant satisfaction, and was scalable, meaning that it could be facilitated by someone newly trained in VFT and result in quality strategies and participant satisfaction, as compared to an experienced facilitator. Net response indicated positive quality ratings for the set of strategies per team. Respondents indicated positive satisfaction overall, though it was higher for objectives than for strategies. Among the participants with previous experience, all were at least as satisfied with their VFT strategies compared to previously developed strategies, and none were less satisfied (P = 0.001). Changes in participant satisfaction were not related to facilitator type (P &gt; 0.10). In addition, we found that some participants had a premature sense of shared understanding of important values and interests before entering the study, which VFT strengthened. This study highlights the advantages of structuring the development and evaluation of conservation planning frameworks.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.14109","usgsCitation":"Martin, D.M., Goldstein, J., Smith, D.R., Musengezi, J., Rountree, J.G., Galgamuwe, P.G., Craig, A., Dietz, M., and Kerr, C., 2023, Creating conservation strategies with value-focused thinking: Conservation Biology, v. 37, no. 5, e14109, 14 p., https://doi.org/10.1111/cobi.14109.","productDescription":"e14109, 14 p.","ipdsId":"IP-147268","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443640,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14109","text":"Publisher Index Page"},{"id":417534,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, David M. 0000-0002-1514-5734","orcid":"https://orcid.org/0000-0002-1514-5734","contributorId":210575,"corporation":false,"usgs":false,"family":"Martin","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":873969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldstein, Joshua","contributorId":197267,"corporation":false,"usgs":false,"family":"Goldstein","given":"Joshua","affiliations":[],"preferred":false,"id":873970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":873971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Musengezi, Jessica","contributorId":305916,"corporation":false,"usgs":false,"family":"Musengezi","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":874082,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rountree, Jessie G.","contributorId":305917,"corporation":false,"usgs":false,"family":"Rountree","given":"Jessie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":874083,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Galgamuwe, Pabodha G. A.","contributorId":305918,"corporation":false,"usgs":false,"family":"Galgamuwe","given":"Pabodha","email":"","middleInitial":"G. A.","affiliations":[],"preferred":false,"id":874084,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Craig, Aileen","contributorId":305919,"corporation":false,"usgs":false,"family":"Craig","given":"Aileen","email":"","affiliations":[],"preferred":false,"id":874085,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dietz, Michelle","contributorId":305920,"corporation":false,"usgs":false,"family":"Dietz","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":874086,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kerr, Caitlin","contributorId":305921,"corporation":false,"usgs":false,"family":"Kerr","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":874087,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70239772,"text":"70239772 - 2023 - Incorporating temperature into seepage loss estimates for a large unlined irrigation canal","interactions":[],"lastModifiedDate":"2025-05-14T17:36:22.285243","indexId":"70239772","displayToPublicDate":"2023-01-18T06:52:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating temperature into seepage loss estimates for a large unlined irrigation canal","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">Quantifying seepage losses from unlined irrigation canals is necessary to improve water use and conservation. The use of heat as a tracer is widely used in quantifying seepage rates across the sediment–water interface. In this study, field observations and two-dimensional numerical models were used to simulate seepage losses during the 2018 and 2019 irrigation season in the Truckee Canal system. Nineteen transects were instrumented with temperature probes and stage recording devices for inverse modeling to derive seepage flux and volumetric losses over the 39&nbsp;km length of canal. The numerical models for each transect were calibrated and validated using the two-year dataset. Soil zones and observation data were used in each numerical model to help guide calibration of vertical and lateral heat and fluid fluxes. Model simulations were used to derive multivariable regression equations that consider stage, temperature, and hydraulic gradient. The results demonstrate the value of long-term datasets that illustrate the seasonality of groundwater levels, siltation, stage, and temperature on seepage rates. Seepage rates estimated by the numerical models range from 0.16 to 4.6&nbsp;m<sup>3</sup>/d m<sup>−1</sup>. Total annual volumetric losses estimated for 2018 and 2019 were 1.6&nbsp;×&nbsp;10<sup>-2</sup><span>&nbsp;</span>to 1.2&nbsp;×&nbsp;10<sup>-2</sup><span>&nbsp;</span>km<sup>3</sup>, respectively. The seepage losses estimated by this study account for 32&nbsp;% to 41&nbsp;% of the inflow volumes. Regression models were able to reproduce seepage time-series simulated by the numerical models reasonably well. In arid environments, water diverted into irrigation canals may be influenced by seasonal variations in temperature sufficient to influence the water accounting of conveyed surface flows.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2023.129117","usgsCitation":"Naranjo, R.C., Smith, D., and Lindenbach, E.J., 2023, Incorporating temperature into seepage loss estimates for a large unlined irrigation canal: Journal of Hydrology, v. 617, no. C, 129117, 15 p.; Data Release, https://doi.org/10.1016/j.jhydrol.2023.129117.","productDescription":"129117, 15 p.; Data Release","ipdsId":"IP-096517","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":412069,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":435498,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P971LB6C","text":"USGS data release","linkHelpText":"Supplemental data and documentation of VS2DH seepage models: Incorporating temperature into seepage loss estimates for a large irrigation canal"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.6447610565691,\n              39.4835481422399\n            ],\n            [\n              -119.6447610565691,\n              38.96460925429065\n            ],\n            [\n              -118.63993876134998,\n              38.96460925429065\n            ],\n            [\n              -118.63993876134998,\n              39.4835481422399\n            ],\n            [\n              -119.6447610565691,\n              39.4835481422399\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"617","issue":"C","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":861853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David 0000-0002-9543-800X","orcid":"https://orcid.org/0000-0002-9543-800X","contributorId":169280,"corporation":false,"usgs":true,"family":"Smith","given":"David","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":861906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindenbach, Evan J.","contributorId":263642,"corporation":false,"usgs":false,"family":"Lindenbach","given":"Evan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":861907,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70239798,"text":"70239798 - 2022 - Horseshoe crab","interactions":[],"lastModifiedDate":"2023-01-20T14:27:56.757671","indexId":"70239798","displayToPublicDate":"2022-12-01T08:17:53","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7.1.2","title":"Horseshoe crab","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Technical report for the Delaware estuary and basin, PDE Report No. 22-05","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Partnership for the Delaware Estuary","usgsCitation":"Smith, D.R., 2022, Horseshoe crab, chap. 7.1.2 <i>of</i> Technical report for the Delaware estuary and basin, PDE Report No. 22-05, p. 308-315.","productDescription":"8 p.","startPage":"308","endPage":"315","ipdsId":"IP-142284","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":412120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":412119,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://delawareestuary.org/data-and-reports/state-of-the-estuary-report-2/"}],"country":"United States","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.5,\n              39.85382793829535\n            ],\n            [\n              -75.6425148831999,\n              39.85382793829535\n            ],\n            [\n              -75.6425148831999,\n              38.75\n            ],\n            [\n              -74.5,\n              38.75\n            ],\n            [\n              -74.5,\n              39.85382793829535\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":861983,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70237558,"text":"70237558 - 2022 - Multispecies approaches to status assessments in support of endangered species classifications","interactions":[],"lastModifiedDate":"2022-11-16T17:13:33.687452","indexId":"70237558","displayToPublicDate":"2022-10-05T11:53:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Multispecies approaches to status assessments in support of endangered species classifications","docAbstract":"<p><span>Multispecies risk assessments have developed within many international conservation programs, reflecting a widespread need for efficiency. Under the United States Endangered Species Act (ESA), multispecies assessments ultimately lead to species-level listing decisions. Although this approach provides opportunities for improved efficiency, it also risks overwhelming or biasing the assessment process and would benefit from clear guidance for practitioners. We reviewed multispecies assessments conducted between 1993 and 2019 for ESA listing decisions to identify the ecological basis for combining species, the assessment approach used, and the policy factors influencing their efficacy. We identified 42 cases covering 359 species. Most assessments (81%) included two to five species, although the maximum was 82. A common theme involved grouping narrow endemics or habitat specialists based on taxonomic relatedness, similar distributions, and common threats to persistence. All assessments included a combined threats analysis, but few employed a common species' response model or expert elicitation process. Although ESA risk assessments are distinct from policy decisions, most assessments (50%) supported decisions that all species warranted endangered status. Available guidance has generally emphasized ecological similarity as the key attribute leading to successful multispecies assessments. The challenge with consistently selecting species based on qualitative proxies such as common distributions or threats to persistence is that ecological patterns and processes are scale dependent. Focusing instead on the assessment methods and their potential for bias and increased efficiency may provide a stronger basis for developing consistent and transparent guidance.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.12825","usgsCitation":"Fitzgerald, D.B., Freeman, M., Maloney, K.O., Young, J.A., Rosenberger, A.E., Kazyak, D., and Smith, D.R., 2022, Multispecies approaches to status assessments in support of endangered species classifications: Conservation Science and Practice, v. 4, no. 11, e12825, 11 p., https://doi.org/10.1111/csp2.12825.","productDescription":"e12825, 11 p.","ipdsId":"IP-127956","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":446217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.12825","text":"Publisher Index Page"},{"id":408261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Fitzgerald, Daniel Bruce 0000-0002-3254-7428","orcid":"https://orcid.org/0000-0002-3254-7428","contributorId":245718,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Daniel","email":"","middleInitial":"Bruce","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":854454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":854455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":854456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":854457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":854458,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":854459,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":854460,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70237644,"text":"70237644 - 2022 - Using structured decision making to evaluate potential management responses to detection of dreissenid mussel (Dreissena spp.) environmental DNA","interactions":[],"lastModifiedDate":"2022-10-18T13:57:05.161824","indexId":"70237644","displayToPublicDate":"2022-06-01T08:44:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Using structured decision making to evaluate potential management responses to detection of dreissenid mussel (<i>Dreissena</i> spp.) environmental DNA","title":"Using structured decision making to evaluate potential management responses to detection of dreissenid mussel (Dreissena spp.) environmental DNA","docAbstract":"<p><span>Environmental (e)DNA tools are sensitive and cost-effective for early detection of invasive species. However, the uncertainty associated with the interpretation of positive eDNA detections makes it challenging to determine appropriate natural resource management responses. Multiple sources of error can give rise to positive detections of eDNA in a sample when individuals of that species are not present at the site or a widespread infestation is not imminent. Acting on an erroneous eDNA inference could result in needless costs or reductions in desirable resources. Alternatively, failure to rapidly act on eDNA results that truly indicate invader presence could compound negative impacts and lead to high, long-term costs to manage infestations. We used a structured decision making (SDM) process, which incorporates tradeoffs and uncertainties, to evaluate appropriate response actions following hypothetical eDNA detections of invasive dreissenid mussel (</span><i>Dreissena</i><span>&nbsp;spp.) eDNA in Jordanelle Reservoir, Utah (USA). We worked with decision-makers and stakeholders to identify objectives and discrete management action alternatives to assess consequences and tradeoffs. Alternatives ranged from no action to intensive and expensive control efforts. The best performing alternative was delayed containment described by immediate attempts to confirm the eDNA detections using non-molecular sampling techniques followed by mandatory watercraft exit inspections to prevent dreissenid mussel spread to regional water bodies. Non-molecular sampling increased public support for management by demonstrating a commitment to monitor the invasion state before action, whereas containment decreased likelihood of regional spread to other waters. Delayed containment had the lowest downside risk, and the highest upside gains relative to other alternative actions. Sensitivity analyses showed our results to be robust to parameter and outcome uncertainty.</span></p>","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2022.13.2.06","usgsCitation":"Sepulveda, A., Smith, D.R., O'Donnell, K., Owens, N., White, B., Richter, C.A., Merkes, C.M., Wolf, S., Rau, M., Neilson, M., Daniel, W., Dumoulin, C.E., and Hunter, M., 2022, Using structured decision making to evaluate potential management responses to detection of dreissenid mussel (Dreissena spp.) environmental DNA: Management of Biological Invasions, v. 13, no. 2, p. 344-368, https://doi.org/10.3391/mbi.2022.13.2.06.","productDescription":"25 p.","startPage":"344","endPage":"368","ipdsId":"IP-133646","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":447583,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2022.13.2.06","text":"Publisher Index Page"},{"id":435831,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y2IQTS","text":"USGS data release","linkHelpText":"Predicted consequences of detecting dreissenid mussel eDNA in Jordanelle Reservoir Utah, 2021"},{"id":408476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":854796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":854797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Donnell, Katherine M. 0000-0001-9023-174X","orcid":"https://orcid.org/0000-0001-9023-174X","contributorId":289575,"corporation":false,"usgs":false,"family":"O'Donnell","given":"Katherine M.","affiliations":[{"id":62192,"text":"Compass Resource Management","active":true,"usgs":false}],"preferred":false,"id":854798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Owens, Nathan","contributorId":297990,"corporation":false,"usgs":false,"family":"Owens","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":854799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Brittany","contributorId":297992,"corporation":false,"usgs":false,"family":"White","given":"Brittany","email":"","affiliations":[],"preferred":false,"id":854803,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richter, Cathy A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":1878,"corporation":false,"usgs":true,"family":"Richter","given":"Cathy","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":854801,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":854944,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wolf, Skylar","contributorId":279472,"corporation":false,"usgs":false,"family":"Wolf","given":"Skylar","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":854802,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rau, Mike","contributorId":297993,"corporation":false,"usgs":false,"family":"Rau","given":"Mike","email":"","affiliations":[],"preferred":false,"id":854804,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Neilson, Matthew 0000-0002-5139-5677","orcid":"https://orcid.org/0000-0002-5139-5677","contributorId":219310,"corporation":false,"usgs":true,"family":"Neilson","given":"Matthew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":854806,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219320,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":854805,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dumoulin, Christine E. 0000-0001-7587-9417","orcid":"https://orcid.org/0000-0001-7587-9417","contributorId":298038,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Christine","email":"","middleInitial":"E.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":854943,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214742,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":854800,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70230021,"text":"70230021 - 2022 - Performance of a carbon dioxide injection system at a navigation lock to control the spread of aquatic invasive species","interactions":[],"lastModifiedDate":"2022-03-25T13:34:34.841291","indexId":"70230021","displayToPublicDate":"2022-02-10T11:34:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2255,"text":"Journal of Environmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Performance of a carbon dioxide injection system at a navigation lock to control the spread of aquatic invasive species","docAbstract":"<div class=\"NLM_sec NLM_sec_level_1 hlFld-Abstract\"><p>Natural resource agencies need effective strategies to control the spread of aquatic invasive species (AIS) such as invasive fish, which can expand their range using rivers as hydrological pathways to access new areas. Lock and dam structures within major rivers are prospective locations to deploy techniques, such as carbon dioxide (<span class=\"equationTd\">CO<sub>2</sub></span>) infusion into lock water, that could impede upstream AIS migration without disrupting vessel passage and lock operation. The current pesticide label for<span>&nbsp;</span><span class=\"equationTd\">CO<sub>2</sub></span><span>&nbsp;</span>in the United States allows injections of<span>&nbsp;</span><span class=\"equationTd\">100–150  mg/LCO<sub>2</sub></span><span>&nbsp;</span>as a behavioral deterrent treatment for invasive carps. This research describes the first operationalizing and testing of a<span>&nbsp;</span><span class=\"equationTd\">CO<sub>2</sub></span><span>&nbsp;</span>injection and manifold distribution system at a 1,548,000-L navigation lock chamber on the Fox River near Kaukauna, Wisconsin, USA. Two chemical distribution manifolds located on the floor and wall of the chamber were independently tested to quantify mixing time, mixing homogeneity, injection efficiency, and operational power requirements under a range of operating parameters. Both manifold configurations were able to meet most performance benchmarks established during previous fish behavior studies. Certain limitations were exhibited and quantified for both manifold configurations in terms of mixing homogeneity and operational power. This research details the design and performance of<span>&nbsp;</span><span class=\"equationTd\">CO2-to-water</span><span>&nbsp;</span>infusion systems that could be used to deter the spread of AIS at navigation pinch-points. These results may inform future<span>&nbsp;</span><span class=\"equationTd\">CO<sub>2</sub></span><span>&nbsp;</span>system designs and operating conditions to support natural resource management plans to limit the spread of AIS.</p></div>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)EE.1943-7870.0001987","usgsCitation":"Zolper, T.J., Smith, D., Jackson, P.R., and Cupp, A.R., 2022, Performance of a carbon dioxide injection system at a navigation lock to control the spread of aquatic invasive species: Journal of Environmental Engineering, v. 148, no. 4, 04022011, 18 p., https://doi.org/10.1061/(ASCE)EE.1943-7870.0001987.","productDescription":"04022011, 18 p.","ipdsId":"IP-127265","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":448830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1061/(asce)ee.1943-7870.0001987","text":"Publisher Index Page"},{"id":397532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Kaukauna","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.25804471969604,\n              44.282831594282946\n            ],\n            [\n              -88.25237989425659,\n              44.282831594282946\n            ],\n            [\n              -88.25237989425659,\n              44.284690317258665\n            ],\n            [\n              -88.25804471969604,\n              44.284690317258665\n            ],\n            [\n              -88.25804471969604,\n              44.282831594282946\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"148","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zolper, Thomas J.","contributorId":210258,"corporation":false,"usgs":false,"family":"Zolper","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":38093,"text":"University of Wisconsin - Platteville","active":true,"usgs":false}],"preferred":false,"id":838708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":1989,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":838709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":838711,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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