{"pageNumber":"193","pageRowStart":"4800","pageSize":"25","recordCount":165296,"records":[{"id":70251170,"text":"70251170 - 2024 - Identifying indicators of polar bear population status","interactions":[],"lastModifiedDate":"2024-01-25T13:05:16.278419","indexId":"70251170","displayToPublicDate":"2024-01-24T07:04:30","publicationYear":"2024","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":"Identifying indicators of polar bear population status","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">Monitoring trends in large mammal populations is a fundamental component of wildlife management and conservation. However, direct estimates of population size and vital rates of large mammals can be logistically challenging and expensive. Indicators that reflect trends in abundance, therefore, can be valuable tools for supporting population monitoring. Polar bears have a relatively simple life history such that a few key variables may be effective indicators for tracking changes in body condition and recruitment that affect abundance. Direct estimates of polar bear abundance are difficult to obtain due to their large home ranges in remote Arctic habitats. Changes in abundance associated with environmental conditions appear to affect polar bears largely via effects on female body condition which influence reproduction and cub survival (i.e., recruitment). Loss of sea ice habitat is further limiting researcher access for population monitoring creating a need for alternative approaches. Here we used relationships established from eight years (2008–2017) of data collected on 439 polar bears in the Chukchi Sea, to transform previously published individual-based relationships with annually available sea ice, atmospheric circulation, and prey body condition variables to predict annual mean body condition and recruitment during 2018–2022. Although annual sample sizes were limited for verifying predicted body condition and recruitment via techniques such as cross-validation, in most cases predicted annual means were closely correlated with observed means for 2008–2017. Summer sea ice and prey body condition remained within or increased relative to levels observed during 2008–2017 and predicted polar bear body condition and recruitment during 2018–2022 were largely within or above observed annual means during 2008–2017. A lack of trend in environmental and ecological variables or polar bear body condition and recruitment metrics during 2008–2022 is suggestive that the Chukchi Sea polar bear population was likely stable during this time. Our results provide support for developing models that predict important population parameters of large mammals based on environmental and ecological indicators. Given that trend information is lacking for 10 of the 19 recognized polar bear populations and is outdated for others, the use of environmental and ecological indicators may be particularly useful for augmenting direct estimates of polar bear vital rates in between periods of data collection. Although demographic assessments for polar bears have primarily focused on correlations with sea ice availability, our study and others highlight that prey health is also an important indicator of polar bear population status.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.111638","usgsCitation":"Rode, K.D., Wilson, R., Crawford, J.A., and Quakenbush, L.T., 2024, Identifying indicators of polar bear population status: Ecological Indicators, v. 159, 111638, 12 p., https://doi.org/10.1016/j.ecolind.2024.111638.","productDescription":"111638, 12 p.","ipdsId":"IP-154752","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440640,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.111638","text":"Publisher Index Page"},{"id":424948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"159","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":893334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Ryan R. ","contributorId":222456,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan R. ","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":893335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crawford, Justin A.","contributorId":214225,"corporation":false,"usgs":false,"family":"Crawford","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":893336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quakenbush, Lori T.","contributorId":192737,"corporation":false,"usgs":false,"family":"Quakenbush","given":"Lori","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":893337,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251183,"text":"70251183 - 2024 - Multigenerational, indirect exposure to pyrethroids demonstrates potential compensatory response and reduced toxicity at higher salinity in estuarine fish","interactions":[],"lastModifiedDate":"2024-02-07T17:29:00.578687","indexId":"70251183","displayToPublicDate":"2024-01-24T06:48:59","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":"Multigenerational, indirect exposure to pyrethroids demonstrates potential compensatory response and reduced toxicity at higher salinity in estuarine fish","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Estuarine environments are critical to fish species and serve as nurseries for developing embryos and larvae. They also undergo daily fluctuations in salinity and act as filters for pollutants. Additionally, global climate change (GCC) is altering salinity regimes within estuarine systems through changes in precipitation and sea level rise. GCC is also likely to lead to an increased use of insecticides to prevent pests from damaging agricultural crops as their habitats and mating seasons change from increased temperatures. This underscores the importance of understanding how insecticide toxicity to fish changes under different salinity conditions. In this study, larval Inland Silversides (<i>Menidia beryllina</i>) were exposed to bifenthrin (1.1 ng/L), cyfluthrin (0.9 ng/L), or cyhalothrin (0.7 ng/L) at either 6 or 10 practical salinity units (PSU) for 96 h during hatching, with a subset assessed for end points relevant to neurotoxicity and endocrine disruption by testing behavior, gene expression of a select suite of genes, reproduction, and growth. At both salinities, directly exposed F0 larvae were hypoactive relative to the F0 controls; however, the indirectly exposed F1 larvae were hyperactive relative to the F1 control. This could be evidence of a compensatory response to environmentally relevant concentrations of pyrethroids in fish. Effects on development, gene expression, and growth were also observed. Overall, exposure to pyrethroids at 10 PSU resulted in fewer behavioral and endocrine disruptive effects relative to those observed in organisms at 6 PSU.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c06234","usgsCitation":"Hutton, S., Siddiqui, S., Pedersen, E., Markgraf, C., Segarra, A., Hladik, M.L., Connon, R., and Brander, S.M., 2024, Multigenerational, indirect exposure to pyrethroids demonstrates potential compensatory response and reduced toxicity at higher salinity in estuarine fish: Environmental Science and Technology, v. 58, no. 5, p. 2224-2235, https://doi.org/10.1021/acs.est.3c06234.","productDescription":"12 p.","startPage":"2224","endPage":"2235","ipdsId":"IP-156101","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":488121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/40v0d2qj","text":"Publisher Index Page"},{"id":425473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hutton, Sara","contributorId":298401,"corporation":false,"usgs":false,"family":"Hutton","given":"Sara","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":893387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siddiqui, Samreen","contributorId":298402,"corporation":false,"usgs":false,"family":"Siddiqui","given":"Samreen","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":893388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pedersen, Emily","contributorId":298404,"corporation":false,"usgs":false,"family":"Pedersen","given":"Emily","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":893389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markgraf, Christopher","contributorId":298406,"corporation":false,"usgs":false,"family":"Markgraf","given":"Christopher","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":893390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Segarra, Amelie 0000-0002-0551-0013","orcid":"https://orcid.org/0000-0002-0551-0013","contributorId":251846,"corporation":false,"usgs":false,"family":"Segarra","given":"Amelie","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":893391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Connon, Richard E","contributorId":152478,"corporation":false,"usgs":false,"family":"Connon","given":"Richard E","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":893393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brander, Susanne M.","contributorId":187546,"corporation":false,"usgs":false,"family":"Brander","given":"Susanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":893394,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251268,"text":"70251268 - 2024 - Multiple lines of evidence point to pesticides as stressors affecting invertebrate communities in small streams in five United States regions","interactions":[],"lastModifiedDate":"2024-02-07T17:30:55.287424","indexId":"70251268","displayToPublicDate":"2024-01-24T06:38:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Multiple lines of evidence point to pesticides as stressors affecting invertebrate communities in small streams in five United States regions","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0040\">Multistressor studies were performed in five regions of the United States to assess the role of pesticides as stressors affecting invertebrate communities in wadable streams. Pesticides and other chemical and physical stressors were measured in 75 to 99 streams per region for 4&nbsp;weeks, after which invertebrate communities were surveyed (435 total sites). Pesticides were sampled weekly in filtered water, and once in bed sediment. The role of pesticides as a stressor to invertebrate communities was assessed by evaluating multiple lines of evidence: toxicity predictions based on measured pesticide concentrations, multivariate models and other statistical analyses, and previously published mesocosm experiments. Toxicity predictions using benchmarks and species sensitivity distributions and statistical correlations suggested that pesticides were present at high enough concentrations to adversely affect invertebrate communities at the regional scale. Two undirected techniques—boosted regression tree models and distance-based linear models—identified which pesticides were predictors of (respectively) invertebrate metrics and community composition. To put insecticides in context with known, influential covariates of invertebrate response, generalized additive models were used to identify which individual pesticide(s) were important predictors of invertebrate community condition in each region, after accounting for natural covariates. Four insecticides were identified as stressors to invertebrate communities at the regional scale: bifenthrin, chlordane, fipronil and its degradates, and imidacloprid. Fipronil was particularly important in the Southeast region, and imidacloprid, bifenthrin, and chlordane were important in multiple regions. For imidacloprid, bifenthrin, and fipronil, toxicity predictions were supported by mesocosm experiments that demonstrated adverse effects on naïve aquatic communities when dosed under controlled conditions. These multiple lines of evidence do not prove causality—which is challenging in the field under multistressor conditions—but they make a strong case for the role of insecticides as stressors adversely affecting invertebrate communities in streams within the five sampled regions.</p></div></div><div id=\"ab0010\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.169634","usgsCitation":"Nowell, L.H., Moran, P.W., Waite, I.R., Schmidt, T., Bradley, P., Mahler, B.J., and Van Metre, P., 2024, Multiple lines of evidence point to pesticides as stressors affecting invertebrate communities in small streams in five United States regions: Science of the Total Environment, v. 915, 169634, 19 p., https://doi.org/10.1016/j.scitotenv.2023.169634.","productDescription":"169634, 19 p.","ipdsId":"IP-133858","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":440644,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2023.169634","text":"Publisher Index Page"},{"id":425211,"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              -70.34093824090904,\n              45.96731982755614\n            ],\n            [\n              -80.84386792840942,\n              45.96731982755614\n            ],\n            [\n              -80.84386792840942,\n              41.36128542179111\n            ],\n            [\n              -70.34093824090904,\n              41.36128542179111\n            ],\n            [\n              -70.34093824090904,\n              45.96731982755614\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.99233772961507,\n              37.25579760233164\n            ],\n            [\n              -80.99233772961507,\n              44.61324664080104\n            ],\n            [\n              -98.26284554211517,\n              44.61324664080104\n            ],\n            [\n              -98.26284554211517,\n              37.25579760233164\n            ],\n            [\n              -80.99233772961507,\n              37.25579760233164\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.21510791138498,\n              42.504659813608754\n            ],\n            [\n              -119.73794381696277,\n              42.504659813608754\n            ],\n            [\n              -119.73794381696277,\n              49.0242512761713\n            ],\n            [\n              -124.21510791138498,\n              49.0242512761713\n            ],\n            [\n              -124.21510791138498,\n              42.504659813608754\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.53965220089417,\n              40.68005247321099\n            ],\n            [\n              -124.53965220089417,\n              33.005079792847866\n            ],\n            [\n              -116.48075683093388,\n              33.005079792847866\n            ],\n            [\n              -116.48075683093388,\n              40.68005247321099\n            ],\n            [\n              -124.53965220089417,\n              40.68005247321099\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -86.59958657168067,\n              32.245671596530244\n            ],\n            [\n              -77.15684048162615,\n              32.245671596530244\n            ],\n            [\n              -77.15684048162615,\n              38.79755456911414\n            ],\n            [\n              -86.59958657168067,\n              38.79755456911414\n            ],\n            [\n              -86.59958657168067,\n              32.245671596530244\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"915","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":205668,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahler, Barbara J. 0000-0002-9150-9552","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":333743,"corporation":false,"usgs":false,"family":"Mahler","given":"Barbara","email":"","middleInitial":"J.","affiliations":[{"id":40102,"text":"U.S. Geological Survey, deceased","active":true,"usgs":false}],"preferred":false,"id":893781,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Metre, Peter 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":255624,"corporation":false,"usgs":false,"family":"Van Metre","given":"Peter","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":893782,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251117,"text":"70251117 - 2024 - Underwater flashlights: What light can tell us about water quality","interactions":[],"lastModifiedDate":"2024-01-24T13:09:00.393099","indexId":"70251117","displayToPublicDate":"2024-01-23T07:08:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9348,"text":"Frontiers for Young Minds","active":true,"publicationSubtype":{"id":10}},"title":"Underwater flashlights: What light can tell us about water quality","docAbstract":"Water is essential for life. The particles and dissolved chemicals found in rivers, lakes, and oceans are constantly changing with weather, seasons, and human activities. The substances found in water can be helpful or harmful to humans and other organisms. New technologies allow scientists to use waterproof computers (called sensors) to record the quality of water as it changes throughout the day or night. Many sensors use the interaction of water with light, or other energy forms, to learn about what is in it. Through observing what happens to light energy in water, scientists can reveal the sources and movements of harmful pollutants or essential nutrients for plants, animals, and bacteria. Networks containing many sensors work together to provide continuous information about the ever-changing conditions that affect all living organisms that depend on water.","language":"English","publisher":"Frontiers","doi":"10.3389/frym.2023.1201556","usgsCitation":"Ryan, K.A., and Burns, D., 2024, Underwater flashlights: What light can tell us about water quality: Frontiers for Young Minds, HTML Document, https://doi.org/10.3389/frym.2023.1201556.","productDescription":"HTML Document","ipdsId":"IP-148772","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":440646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3389/frym.2023.1201556","text":"Publisher Index Page"},{"id":424853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Kevin Alexander 0000-0003-1202-3616","orcid":"https://orcid.org/0000-0003-1202-3616","contributorId":331030,"corporation":false,"usgs":true,"family":"Ryan","given":"Kevin","email":"","middleInitial":"Alexander","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":893178,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70252510,"text":"70252510 - 2024 - A multiscale perspective for improving conservation of Conchos pupfish","interactions":[],"lastModifiedDate":"2024-09-11T16:10:31.575447","indexId":"70252510","displayToPublicDate":"2024-01-23T07:07:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A multiscale perspective for improving conservation of Conchos pupfish","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Desert spring systems of the American southwest hold high local fish endemism and are ranked among the most threatened ecosystems in the world. The prioritization of conservation resources to protect species living within these arid landscapes requires knowledge of species abundance and distribution. The plight of Conchos pupfish (<i>Cyprinodon eximius</i>) is representative of freshwater fishes the world over, including population extirpations caused by human poisoning of streams and reservoir construction, to the extent that the species was once considered extinct in the USA. We developed a distance-sampling framework to monitor Conchos pupfish abundance and coupled this approach with species distribution modeling to guide conservation actions. Our multiscale approach included surveying abundances within 5-m transects at three reaches of the Devils River, where the last known USA populations persist. We combined this fine-scale analysis with species distribution modeling for stream segments across the range of the species in Mexico and USA. Modeling revealed Conchos pupfish abundance among transects was negatively correlated with current velocity and detection was negatively correlated with water depth. Estimated abundance at a reach where the species was previously reintroduced was greater than other reaches combined in November 2019, lowest in March 2021 when reach water levels were very low, then equivalent with other reaches by October 2021 after water returned to the reach. Modeled Conchos pupfish distribution illustrated a high probability of occurrence on the periphery of the species' overall range within Texas, USA and broadly across Chihuahua, Mexico, where proposed protected areas might benefit the species. Our study provides conservation guidance by establishing (1) baseline and trajectory values for abundance, (2) transect locations where abundances might be managed within existing protected areas, (3) reaches where high abundances could be used for future repatriation, and (4) stream segments where future surveys might be conducted to assess conservation opportunities.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/acv.12930","usgsCitation":"Elkins, L.C., Acre, M.R., Bean, M.G., Robertson, S.M., Smith, R., and Perkin, J., 2024, A multiscale perspective for improving conservation of Conchos pupfish: Animal Conservation, v. 27, no. 4, p. 538-553, https://doi.org/10.1111/acv.12930.","productDescription":"16 p.","startPage":"538","endPage":"553","ipdsId":"IP-147079","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":440649,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/acv.12930","text":"Publisher Index Page"},{"id":427140,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Elkins, Lindsey C.","contributorId":335067,"corporation":false,"usgs":false,"family":"Elkins","given":"Lindsey","email":"","middleInitial":"C.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":897359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Acre, Matthew Ross 0000-0002-5417-9523","orcid":"https://orcid.org/0000-0002-5417-9523","contributorId":268034,"corporation":false,"usgs":true,"family":"Acre","given":"Matthew","email":"","middleInitial":"Ross","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":897360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bean, Megan G.","contributorId":335068,"corporation":false,"usgs":false,"family":"Bean","given":"Megan","email":"","middleInitial":"G.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":897361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robertson, Sarah M.","contributorId":335069,"corporation":false,"usgs":false,"family":"Robertson","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":897362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Ryan 0000-0002-3747-6868","orcid":"https://orcid.org/0000-0002-3747-6868","contributorId":333943,"corporation":false,"usgs":false,"family":"Smith","given":"Ryan","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":897363,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perkin, Joshuah S.","contributorId":238286,"corporation":false,"usgs":false,"family":"Perkin","given":"Joshuah S.","affiliations":[{"id":47708,"text":"Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX","active":true,"usgs":false}],"preferred":false,"id":897364,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251144,"text":"70251144 - 2024 - Evaluating density-weighted connectivity of black bears (Ursus americanus) in Glacier National Park with spatial capture–recapture models","interactions":[],"lastModifiedDate":"2024-01-24T12:39:21.64194","indexId":"70251144","displayToPublicDate":"2024-01-23T06:37:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating density-weighted connectivity of black bears (Ursus americanus) in Glacier National Park with spatial capture–recapture models","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Improved understanding of wildlife population connectivity among protected area networks can support effective planning for the persistence of wildlife populations in the face of land use and climate change. Common approaches to estimating connectivity often rely on small samples of individuals without considering the spatial structure of populations, leading to limited understanding of how individual movement links to demography and population connectivity. Recently developed spatial&nbsp;capture-recapture (SCR) models provide a framework to formally connect inference about individual movement, connectivity, and population density, but few studies have applied this approach to empirical data to support connectivity planning.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We used mark-recapture data collected from 924 genetic detections of 598 American black bears (<i>Ursus americanus</i>) in 2004 with SCR ecological distance models to simultaneously estimate density, landscape resistance to movement, and population connectivity in Glacier National Park northwest Montana, USA. We estimated density and movement parameters separately for males and females and used model estimates to calculate predicted density-weighted connectivity surfaces.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Model results indicated that landscape structure influences black bear density and space use in Glacier. The mean density estimate was 16.08 bears/100&nbsp;km<sup>2</sup><span>&nbsp;</span>(95% CI 12.52–20.6) for females and 9.27 bears/100&nbsp;km<sup>2</sup><span>&nbsp;</span>(95% CI 7.70–11.14) for males. Density increased with forest cover for both sexes. For male black bears, density decreased at higher grizzly bear (<i>Ursus arctos</i>) densities. Drainages, valley bottoms, and riparian vegetation decreased estimates of landscape resistance to movement for male and female bears. For males, forest cover also decreased estimated resistance to movement, but a transportation corridor bisecting the study area strongly increased resistance to movement presenting a barrier to connectivity.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Density-weighed connectivity surfaces highlighted areas important for population connectivity that were distinct from areas with high potential connectivity. For black bears in Glacier and surrounding landscapes, consideration of both vegetation and valley topography could inform the placement of underpasses along the transportation corridor in areas characterized by both high population density and potential connectivity. Our study demonstrates that the SCR ecological distance model can provide biologically realistic, spatially explicit predictions to support movement connectivity planning across large landscapes.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-023-00445-7","usgsCitation":"Carroll, S.L., Schmidt, G.M., Waller, J.S., and Graves, T., 2024, Evaluating density-weighted connectivity of black bears (Ursus americanus) in Glacier National Park with spatial capture–recapture models: Movement Ecology, v. 12, 8, 18 p., https://doi.org/10.1186/s40462-023-00445-7.","productDescription":"8, 18 p.","ipdsId":"IP-152033","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":440652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-023-00445-7","text":"Publisher Index Page"},{"id":424846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.27217583291136,\n              49.293498450490404\n            ],\n            [\n              -115.27217583291136,\n              47.6179024821721\n            ],\n            [\n              -112.5475664579116,\n              47.6179024821721\n            ],\n            [\n              -112.5475664579116,\n              49.293498450490404\n            ],\n            [\n              -115.27217583291136,\n              49.293498450490404\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Carroll, Sarah L","contributorId":300618,"corporation":false,"usgs":false,"family":"Carroll","given":"Sarah","email":"","middleInitial":"L","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":893258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Greta M","contributorId":300615,"corporation":false,"usgs":false,"family":"Schmidt","given":"Greta","email":"","middleInitial":"M","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":893259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waller, John S.","contributorId":167055,"corporation":false,"usgs":false,"family":"Waller","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":16272,"text":"National Park Service, Glacier National Park, West Glacier, MT","active":true,"usgs":false}],"preferred":false,"id":893260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":893261,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251503,"text":"70251503 - 2024 - Sicklefin Chub (Macrhybopsis meeki) and Sturgeon Chub (M. gelida) temporal and spatial patterns from extant population monitoring and habitat data spanning 23 Years","interactions":[],"lastModifiedDate":"2024-02-14T12:41:57.260543","indexId":"70251503","displayToPublicDate":"2024-01-23T06:34:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6476,"text":"Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Sicklefin Chub (Macrhybopsis meeki) and Sturgeon Chub (M. gelida) temporal and spatial patterns from extant population monitoring and habitat data spanning 23 Years","docAbstract":"<div class=\"html-p\">Sicklefin (<span class=\"html-italic\">Macrhybopsis meeki</span>) and sturgeon chub (<span class=\"html-italic\">M. gelida</span>) historically occurred throughout the Missouri River (MR), in some tributaries, and Mississippi River downstream of the MR. They have been species of U.S. state-level conservation concern and U.S. Endangered Species Act listing candidates since the 1990s. We applied analytical approaches from occupancy modeling to correlation to monitoring data spanning 23 years to assess relationships between occupancy and time, space, environmental factors, habitat, and other species. Sicklefin chub occupancy appeared higher in the early to mid-2000s and mid-to-late 2010s. A potential decline in occupancy occurred for sturgeon chub in the mid-to-late 2010s. Spatially, chub occupancy was depressed for 159 to 438 km downstream of MR dams. Among macrohabitats, inside bends had relatively high occupancy for both species; secondary connected channels had relatively high values for sturgeon chub. Co-occurrence was likely between sicklefin and sturgeon chub and between chubs and shovelnose sturgeon (<span class=\"html-italic\">Scaphirhybchus platorybchus</span>) and channel catfish (<span class=\"html-italic\">Ictalurus punctatus</span>). The observed co-occurrence of chubs and pallid sturgeon (<span class=\"html-italic\">Scaphirhynchus albus</span>; PS) was potentially higher than expected for adult PS. For juvenile PS, co-occurrence was lower than expected in the Lower MR and potentially higher than expected in the Upper MR, warranting future research. Results from this research suggest management for the improvement of sicklefin and sturgeon chub populations may benefit other MR fish populations.</div>","language":"English","publisher":"MDPI","doi":"10.3390/fishes9020043","usgsCitation":"Wildhaber, M.L., West, B.M., Bennett, K.R., May, J.H., Albers, J.L., and Green, N., 2024, Sicklefin Chub (Macrhybopsis meeki) and Sturgeon Chub (M. gelida) temporal and spatial patterns from extant population monitoring and habitat data spanning 23 Years: Fishes, v. 9, no. 2, 43, 31 p., https://doi.org/10.3390/fishes9020043.","productDescription":"43, 31 p.","ipdsId":"IP-158360","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":440655,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fishes9020043","text":"Publisher Index Page"},{"id":435059,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AB7UI4","text":"USGS data release","linkHelpText":"Occupancy model coefficients and observed co-occurrence simulations for sicklefin chub, sturgeon chub, and associated fishes in the Missouri River"},{"id":425643,"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              -106.18276498651836,\n              48.74166246322022\n            ],\n            [\n              -106.18276498651836,\n              37.22153406979474\n            ],\n            [\n              -88.78042123651797,\n              37.22153406979474\n            ],\n            [\n              -88.78042123651797,\n              48.74166246322022\n            ],\n            [\n              -106.18276498651836,\n              48.74166246322022\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":894748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"West, Benjamin M 0000-0001-8355-0013","orcid":"https://orcid.org/0000-0001-8355-0013","contributorId":298588,"corporation":false,"usgs":true,"family":"West","given":"Benjamin","email":"","middleInitial":"M","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":894749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Kendell Ray 0000-0001-6081-7002","orcid":"https://orcid.org/0000-0001-6081-7002","contributorId":334116,"corporation":false,"usgs":true,"family":"Bennett","given":"Kendell","email":"","middleInitial":"Ray","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":894750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"May, Jack Howard 0000-0001-7660-3308","orcid":"https://orcid.org/0000-0001-7660-3308","contributorId":334117,"corporation":false,"usgs":true,"family":"May","given":"Jack","email":"","middleInitial":"Howard","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":894751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":894752,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Green, Nicholas S.","contributorId":301918,"corporation":false,"usgs":false,"family":"Green","given":"Nicholas S.","affiliations":[{"id":65362,"text":"Kennesaw State University","active":true,"usgs":false}],"preferred":false,"id":894753,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251071,"text":"ofr20231070 - 2024 - Resurvey of cross sections on the Yampa and Little Snake Rivers in Lily and Deerlodge Parks, Colorado","interactions":[],"lastModifiedDate":"2026-01-28T17:33:00.675089","indexId":"ofr20231070","displayToPublicDate":"2024-01-22T14:51:59","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1070","displayTitle":"Resurvey of Cross Sections on the Yampa and Little Snake Rivers in Lily and Deerlodge Parks, Colorado","title":"Resurvey of cross sections on the Yampa and Little Snake Rivers in Lily and Deerlodge Parks, Colorado","docAbstract":"<p>Resurveys of seven geomorphologic cross sections located in the Lily Park and Deerlodge Park, Colorado, reaches of the Yampa and Little Snake Rivers were conducted in October 2017. These cross sections extend from Lily Park, at the confluence of the two rivers, to Deerlodge Park within Dinosaur National Monument. Four cross sections were first surveyed in 1983 and then resurveyed in 1997. The remaining three cross sections were first surveyed in 1997. Analysis of historical aerial photographs (taken from 1961 to 2015) was conducted to contextualize the measured changes in the cross sections, confirm cross-section longitudinal positions along the rivers, and verify the timing of artificial realignment and straightening of the Little Snake River. Erosion occurred between 1983 and 1997 in all four cross sections first surveyed in 1983, largely through channel widening. Continued erosion occurred between 1997 and 2017 in six of the seven cross sections, also largely by channel widening with only minor changes in channel depth. Though erosion occurred over a longer time period, the net erosion observed at these cross sections over three decades is consistent with the net erosion documented by a sediment-transport-based monitoring program on the Yampa River and Little Snake Rivers from 2013 to 2020.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231070","usgsCitation":"Griffiths, R.E., Topping, D.J., Leonard, C., and Unema, J.A., 2023, Resurvey of cross sections on the Yampa and Little Snake Rivers in Lily and Deerlodge Parks, Colorado: U.S. Geological Survey Open File Report 2023–1070, 12 p., https://doi.org/10.3133/ofr20231070.","productDescription":"v, 12 p.","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-133353","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":499190,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115974.htm","linkFileType":{"id":5,"text":"html"}},{"id":424646,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1070/covrthb.jpg"},{"id":424648,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1070/images"},{"id":424647,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1070/ofr20231070.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"https://pubs.usgs.gov/of/2023/1070/ofr20231070.pdf"},{"id":424656,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231070/full"},{"id":424655,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1070/ofr20231070.xml"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.59179261388168,\n              40.52987272306311\n            ],\n            [\n              -108.59179261388168,\n              40.41797684941369\n            ],\n            [\n              -108.31771685264421,\n              40.41797684941369\n            ],\n            [\n              -108.31771685264421,\n              40.52987272306311\n            ],\n            [\n              -108.59179261388168,\n              40.52987272306311\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/sbsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/sbsc\">Southwest Biological Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2255 N. Gemini Drive<br>Flagstaff, AZ 86001&nbsp;</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Previous Surveys of Cross Sections in the Deerlodge Park Area</li><li>Methods</li><li>Historical Aerial-Photograph Analysis</li><li>Changes in the Deerlodge Park Area Cross Sections</li><li>Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-01-22","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":892974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":296930,"corporation":false,"usgs":true,"family":"Topping","given":"David J.","email":"dtopping@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":892975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leonard, Christina","contributorId":195596,"corporation":false,"usgs":false,"family":"Leonard","given":"Christina","email":"","affiliations":[],"preferred":true,"id":892976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Unema, Joel A. 0000-0002-7428-219X junema@usgs.gov","orcid":"https://orcid.org/0000-0002-7428-219X","contributorId":156307,"corporation":false,"usgs":true,"family":"Unema","given":"Joel","email":"junema@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892977,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250152,"text":"ofr20231084 - 2024 - Report of the River Master of the Delaware River for the period December 1, 2013–November 30, 2014","interactions":[],"lastModifiedDate":"2026-01-28T17:37:12.683393","indexId":"ofr20231084","displayToPublicDate":"2024-01-22T14:20:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1084","displayTitle":"Report of the River Master of the Delaware River for the Period December 1, 2013–November 30, 2014","title":"Report of the River Master of the Delaware River for the period December 1, 2013–November 30, 2014","docAbstract":"<h1>Executive Summary</h1><p>A Decree of the Supreme Court of the United States, entered June 7, 1954 (<i>New Jersey</i> v. <i>New York</i>, 347 U.S. 995), established the position of Delaware River Master within the U.S. Geological Survey. In addition, the Decree authorizes the diversion of water from the Delaware River Basin and requires compensating releases from specific reservoirs owned by New York City to be made under the supervision and direction of the River Master. The Decree stipulates that the River Master provide reports to the Court, not less frequently than annually. This report is the 61st annual report of the River Master of the Delaware River. The report covers the 2014 River Master report year, which is the period from December 1, 2013, to November 30, 2014.</p><p>During the report year, precipitation in the upper Delaware River Basin was 42.40 inches or 95 percent of the long-term average. On December 1, 2013, combined useable storage in New York’s Pepacton, Cannonsville, and Neversink Reservoirs in the upper Delaware River Basin was 200.133 billion gallons or 73.9 percent of the combined capacity of 270.8 billion gallons. The reservoirs were at about 99.7 percent of usable capacity on May 31, 2014. Combined storage in the Pepacton, Cannonsville, and Neversink Reservoirs decreased below 80 percent of combined capacity in late August. The lowest combined storage was 151.730 billion gallons or 56 percent of combined capacity on November 24, 2014. Delaware River Master operations during the year were conducted as stipulated by the Decree and the Flexible Flow Management Program.</p><p>Diversions from the Delaware River Basin by New York City and the State of New Jersey fully complied with the Decree. Reservoir releases were made as directed by the River Master at rates designed to meet the flow objective for the Delaware River at Montague, New Jersey, on 94 days during the report year. Interim Excess Release Quantity and conservation releases, designed to relieve thermal stress and protect the fishery and aquatic habitat in the tailwaters of the reservoirs, were also made during the report year.</p><p>Water quality in the Delaware River estuary between streamgages at Trenton, New Jersey, and Reedy Island Jetty, Delaware, was monitored at several locations. Data on water temperature, specific conductance, dissolved oxygen, and pH were collected continuously by electronic instruments at four locations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231084","isbn":"978-1-4113-4543-0","programNote":"Water Availability and Use Science Program","usgsCitation":"Russell, K.L., Andrews, W.J., DiFrenna, V.J., Norris, J.M., and Mason, R.R., Jr., 2024, Report of the River Master of the Delaware River for the period December 1, 2013–November 30, 2014: U.S. Geological Survey Open-File Report 2023–1084, 98 p., https://doi.org/10.3133/ofr20231084.","productDescription":"xii, 98 p.","numberOfPages":"98","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-123859","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":499192,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115976.htm","linkFileType":{"id":5,"text":"html"}},{"id":422830,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1084/ofr20231084.XML"},{"id":422831,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1084/images/"},{"id":422832,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231084/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1084"},{"id":422833,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1084/coverthb.jpg"},{"id":422834,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1084/ofr20231084.pdf","text":"Report","size":"9.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1084"}],"country":"United States","state":"New Jersey, New York, Pennsylvania","otherGeospatial":"Delaware River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.3534603634281,\n              39.372074240175664\n            ],\n            [\n              -74.00,\n              39.372074240175664\n            ],\n            [\n              -74.00,\n              43.02029898998293\n            ],\n            [\n              -76.3534603634281,\n              43.02029898998293\n            ],\n            [\n              -76.3534603634281,\n              39.372074240175664\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://webapps.usgs.gov/odrm/\" data-mce-href=\"https://webapps.usgs.gov/odrm/\">Delaware River Master</a><br>Office of the Delaware River Master<br>U.S. Geological Survey<br>120 Route 209<br>South Milford, PA 18337</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"https://pubs.er.usgs.gov/contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Method to Determine Directed Releases From New York City Reservoirs</li><li>Hydrologic Conditions</li><li>Operations</li><li>Quality of Water in the Delaware River Estuary</li><li>Tables 1, 3–11, and 13–20</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Agreement of the Parties to the1954 U.S. Supreme Court Decree Effective June 1, 2014</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-01-22","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Kendra L. 0000-0002-3046-7440","orcid":"https://orcid.org/0000-0002-3046-7440","contributorId":218135,"corporation":false,"usgs":true,"family":"Russell","given":"Kendra","email":"","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":888584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, William J. 0000-0003-4780-8835","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":216006,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiFrenna, Vincent J. 0000-0002-1336-7288","orcid":"https://orcid.org/0000-0002-1336-7288","contributorId":222850,"corporation":false,"usgs":true,"family":"DiFrenna","given":"Vincent J.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":888582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norris, J. Michael 0000-0002-7480-0161","orcid":"https://orcid.org/0000-0002-7480-0161","contributorId":222849,"corporation":false,"usgs":true,"family":"Norris","given":"J. Michael","affiliations":[{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true}],"preferred":true,"id":888585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":888586,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251134,"text":"70251134 - 2024 - Extreme low-frequency waves on the Ofu, American Samoa, reef flat","interactions":[],"lastModifiedDate":"2024-03-11T14:39:19.600496","indexId":"70251134","displayToPublicDate":"2024-01-22T06:59:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Extreme low-frequency waves on the Ofu, American Samoa, reef flat","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The southern fringing reef along Ofu, American Samoa, has been a focus of coral research owing to the presence of super-heated pools on the reef flat, where corals thrive in elevated sea temperatures. Here, we present the first documentation of exceptionally large low-frequency (periods &gt; 100&nbsp;s) waves over this reef flat. During a large, southerly swell event, low-frequency waves on the inner reef flat had mean heights of 0.7&nbsp;m and periods of 2–4 min and are estimated to have contributed up to 50% of the total water levels. One observed low-frequency wave had a trough-to-peak vertical height of 1.5&nbsp;m, possibly representing the largest low-frequency wave ever directly observed on a reef flat. These large, low-frequency waves, which were likely amplified by reef resonance, are important factors in coastal hazards such as flooding and erosion and may also be relevant to coral health and resilience.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00338-023-02453-w","usgsCitation":"Cheriton, O.M., Storlazzi, C.D., Oberle, F.K., Rosenberger, K.J., and Brown, E.K., 2024, Extreme low-frequency waves on the Ofu, American Samoa, reef flat: Coral Reefs, v. 43, p. 185-191, https://doi.org/10.1007/s00338-023-02453-w.","productDescription":"7 p.","startPage":"185","endPage":"191","ipdsId":"IP-157670","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440657,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00338-023-02453-w","text":"Publisher Index Page"},{"id":424851,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Ofu, American Samoa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -169.69863254706598,\n              -14.148328735865661\n            ],\n            [\n              -169.69863254706598,\n              -14.198592348996542\n            ],\n            [\n              -169.61898166815973,\n              -14.198592348996542\n            ],\n            [\n              -169.61898166815973,\n              -14.148328735865661\n            ],\n            [\n              -169.69863254706598,\n              -14.148328735865661\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"43","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oberle, Ferdinand K.J. 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":214402,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","middleInitial":"K.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Eric K.","contributorId":204568,"corporation":false,"usgs":false,"family":"Brown","given":"Eric","email":"","middleInitial":"K.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":893230,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256057,"text":"70256057 - 2024 - A far-traveled basalt lava flow in north-central Oregon, USA","interactions":[],"lastModifiedDate":"2024-07-17T12:04:36.782756","indexId":"70256057","displayToPublicDate":"2024-01-22T06:58:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"A far-traveled basalt lava flow in north-central Oregon, USA","docAbstract":"<div id=\"144400521\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Widely separated basalt lava-flow outcrops in north-central Oregon, USA, expose products of a single eruptive episode. A Pliocene lava flow, here informally termed the Tetherow basalt, issued from vents near Redmond, in the Deschutes basin of Oregon, as a plains-forming basalt now exposed in continuous outcrops northward for 60 km. A similar basalt crops out 47 km farther north, near Maupin, within what was then a slightly incised ancestral Deschutes River canyon. The northernmost outcrops of this lava flow lie on Fulton Ridge, in the Dalles basin, near the confluence of the Deschutes and Columbia Rivers. Complementary lines of evidence confirm these rocks are all from the same volcanic eruption. Outcrops in the Deschutes and Dalles basins are chemically similar high-titanium basalts, petrographically similar to each other and distinct from other lava flows in the area. Paleomagnetic directions from 11 scattered sites are similar and indistinguishable by various tests for a common mean. Three new<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar ages indicate the Tetherow basalt eruption occurred between 5.5 Ma and 5.0 Ma, likely at ca. 5.2 Ma. The widely separated outcrops of this lava flow span 160–180 km along the ancestral Deschutes River and downstream Columbia River. The lava flow’s length and erupted volume of 15–20 km<sup>3</sup><span>&nbsp;</span>are extraordinarily large in a non-flood-basalt setting. This lava flow provides a datum with which to describe regional physiographic history, assess incision rates, and infer tectonic history. Spanning different depositional basins, the Tetherow basalt is a useful chronologic and stratigraphic marker bed.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37178.1","usgsCitation":"Pivarunas, A.F., Sherrod, D.R., O'Connor, J., Cannon, C.M., and Stelten, M.E., 2024, A far-traveled basalt lava flow in north-central Oregon, USA: Geological Society of America Bulletin, v. 136, no. 7-8, p. 3291-3310, https://doi.org/10.1130/B37178.1.","productDescription":"20 p.","startPage":"3291","endPage":"3310","ipdsId":"IP-149248","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":440659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1130/b37178.1","text":"Publisher Index Page"},{"id":431125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.75339386016779,\n              45.81058941349178\n            ],\n            [\n              -121.75339386016779,\n              44.053899304270516\n            ],\n            [\n              -120.31578560249442,\n              44.053899304270516\n            ],\n            [\n              -120.31578560249442,\n              45.81058941349178\n            ],\n            [\n              -121.75339386016779,\n              45.81058941349178\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"136","issue":"7-8","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Pivarunas, Anthony Francis 0000-0002-0003-2059","orcid":"https://orcid.org/0000-0002-0003-2059","contributorId":301014,"corporation":false,"usgs":true,"family":"Pivarunas","given":"Anthony","email":"","middleInitial":"Francis","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":906547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":906548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":906549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannon, Charles M. 0000-0003-4136-2350 ccannon@usgs.gov","orcid":"https://orcid.org/0000-0003-4136-2350","contributorId":247680,"corporation":false,"usgs":true,"family":"Cannon","given":"Charles","email":"ccannon@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":906550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":906551,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251139,"text":"70251139 - 2024 - Evaluating spatial coverage of the greater sage-grouse umbrella to conserve sagebrush-dependent species biodiversity within the Wyoming basins","interactions":[],"lastModifiedDate":"2024-01-24T12:57:44.164829","indexId":"70251139","displayToPublicDate":"2024-01-22T06:55:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating spatial coverage of the greater sage-grouse umbrella to conserve sagebrush-dependent species biodiversity within the Wyoming basins","docAbstract":"<div class=\"html-p\">Biodiversity is threatened due to land-use change, overexploitation, pollution, and anthropogenic climate change, altering ecosystem functioning around the globe. Protecting areas rich in biodiversity is often difficult without fully understanding and mapping species’ ecological niche requirements. As a result, the umbrella species concept is often applied, whereby conservation of a surrogate species is used to indirectly protect species that occupy similar ecological communities. One such species is the greater sage-grouse (<span class=\"html-italic\">Centrocercus urophasianus</span>), which has been used as an umbrella to conserve other species within the sagebrush (<span class=\"html-italic\">Artemisia</span><span>&nbsp;</span>spp.) ecosystem. Sagebrush-steppe ecosystems within the United States have experienced drastic loss, fragmentation, and degradation of remaining habitat, threatening sagebrush-dependent fauna, resulting in west-wide conservation efforts to protect sage-grouse habitats, and presumably other sagebrush wildlife. We evaluated the effectiveness of the greater sage-grouse umbrella to conserve biodiversity using data-driven spatial occupancy and abundance models for seven sagebrush-dependent (obligate or associated) species across the greater Wyoming Basins Ecoregional Assessment (WBEA) area (345,300 km<sup>2</sup>) and assessed overlap with predicted sage-grouse occurrence. Predicted sage-grouse habitat from empirical models only partially (39–58%) captured habitats identified by predicted occurrence models for three sagebrush-obligate songbirds and 60% of biodiversity hotspots (richness of 4–6 species). Sage-grouse priority areas for conservation only captured 59% of model-predicted sage-grouse habitat, and only slightly fewer (56%) biodiversity hotspots. We suggest that the greater sage-grouse habitats may be partially effective as an umbrella for the conservation of sagebrush-dependent species within the sagebrush biome, and management actions aiming to conserve biodiversity should directly consider the explicit mapping of resource requirements for other taxonomic groups.</div>","language":"English","publisher":"MDPI","doi":"10.3390/land13010123","usgsCitation":"Aldridge, C.L., Saher, D., Heinrichs, J., Monroe, A., Leu, M., and Hanser, S.E., 2024, Evaluating spatial coverage of the greater sage-grouse umbrella to conserve sagebrush-dependent species biodiversity within the Wyoming basins: Land, v. 13, no. 1, 123, 22 p., https://doi.org/10.3390/land13010123.","productDescription":"123, 22 p.","ipdsId":"IP-129190","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":440660,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land13010123","text":"Publisher Index Page"},{"id":424850,"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              -112.95934067669556,\n              46.4660838376702\n            ],\n            [\n              -112.95934067669556,\n              38.40822699632798\n            ],\n            [\n              -106.32359848919579,\n              38.40822699632798\n            ],\n            [\n              -106.32359848919579,\n              46.4660838376702\n            ],\n            [\n              -112.95934067669556,\n              46.4660838376702\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":893244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saher, D. Joanne 0000-0002-2452-2570","orcid":"https://orcid.org/0000-0002-2452-2570","contributorId":288928,"corporation":false,"usgs":false,"family":"Saher","given":"D. Joanne","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":893245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":240888,"corporation":false,"usgs":false,"family":"Heinrichs","given":"Julie A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":893246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":893247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leu, Matthias 0000-0002-4290-7212","orcid":"https://orcid.org/0000-0002-4290-7212","contributorId":194938,"corporation":false,"usgs":false,"family":"Leu","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":893248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":893249,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251108,"text":"70251108 - 2024 - The economics of decarbonizing Costa Rica's agriculture, forestry and other land uses sectors","interactions":[],"lastModifiedDate":"2024-01-23T12:58:03.361697","indexId":"70251108","displayToPublicDate":"2024-01-22T06:55:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"The economics of decarbonizing Costa Rica's agriculture, forestry and other land uses sectors","docAbstract":"<p>In 2018, Costa Rica demonstrated its commitment to the Paris Agreement and published its Decarbonization Plan for achieving zero net emissions by the year 2050. We evaluate the impacts of the country's strategy for decarbonizing its Agriculture, Forestry and Other Land Uses (AFOLU) sectors by coupling the Integrated Economic-Environmental Modeling framework with high-resolution spatial land use-land cover change and ecosystem services modeling (IEEM+ESM). Our results show that decarbonization of AFOLU would simultaneously enhance carbon storage, water purification, water regulation and erosion mitigation ecosystem services. Moreover, the positive cumulative wealth impact of decarbonization would be approximately US$7.27 billion by 2050 while lifting an additional 3810 individuals out of poverty. From a public investment perspective, decarbonization would have a fiscally neutral impact with the economic benefits sufficient in magnitude to off-set policy implementation costs and generate economic returns of over US$852 million when changes in natural capital stocks and environmental quality are considered. This application to Costa Rica is the first integrated economy-wide analysis of a growing number of decarbonization plans globally. The IEEM+ESM approach provides an integrated framework for analyzing decarbonization plans and can be used to refine AFOLU mitigation strategies to capitalize on synergies and minimize negative trade-offs across the three dimensions of wealth and sustainable economic development, namely economy, society and the environment.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2024.108115","usgsCitation":"Banerjee, O., Cicowiez, M., Vargas, R., Molina-Perez, E., Bagstad, K.J., and Malek, Z., 2024, The economics of decarbonizing Costa Rica's agriculture, forestry and other land uses sectors: Ecological Economics, v. 218, 108115, 15 p., https://doi.org/10.1016/j.ecolecon.2024.108115.","productDescription":"108115, 15 p.","ipdsId":"IP-146533","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":486947,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.vu.nl/en/publications/982c7ba2-e757-4767-b936-64ab57cabf27","text":"External Repository"},{"id":424738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-82.96578,8.22503],[-83.50844,8.44693],[-83.71147,8.65684],[-83.59631,8.83044],[-83.63264,9.05139],[-83.90989,9.2908],[-84.3034,9.48735],[-84.64764,9.61554],[-84.71335,9.90805],[-84.97566,10.08672],[-84.91137,9.79599],[-85.11092,9.55704],[-85.33949,9.83454],[-85.66079,9.93335],[-85.79744,10.13489],[-85.79171,10.43934],[-85.65931,10.75433],[-85.94173,10.89528],[-85.71254,11.08844],[-85.56185,11.21712],[-84.903,10.9523],[-84.67307,11.08266],[-84.35593,10.99923],[-84.19018,10.79345],[-83.89505,10.72684],[-83.65561,10.93876],[-83.40232,10.39544],[-83.01568,9.99298],[-82.5462,9.56613],[-82.93289,9.47681],[-82.92715,9.07433],[-82.71918,8.92571],[-82.86866,8.80727],[-82.82977,8.6263],[-82.91318,8.42352],[-82.96578,8.22503]]]},\"properties\":{\"name\":\"Costa Rica\"}}]}","volume":"218","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Banerjee, Onil","contributorId":224437,"corporation":false,"usgs":false,"family":"Banerjee","given":"Onil","email":"","affiliations":[{"id":40887,"text":"Inter-American Development Bank","active":true,"usgs":false}],"preferred":false,"id":893151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cicowiez, Martin","contributorId":299650,"corporation":false,"usgs":false,"family":"Cicowiez","given":"Martin","email":"","affiliations":[{"id":40888,"text":"Universidad Nacional de la Plata","active":true,"usgs":false}],"preferred":false,"id":893152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vargas, Renato 0000-0002-2302-1141","orcid":"https://orcid.org/0000-0002-2302-1141","contributorId":299655,"corporation":false,"usgs":false,"family":"Vargas","given":"Renato","email":"","affiliations":[{"id":64919,"text":"CHW Research","active":true,"usgs":false}],"preferred":false,"id":893153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Molina-Perez, Edmundo 0000-0003-0774-3205","orcid":"https://orcid.org/0000-0003-0774-3205","contributorId":333577,"corporation":false,"usgs":false,"family":"Molina-Perez","given":"Edmundo","email":"","affiliations":[{"id":79938,"text":"Instituto Tecnológico de Monterrey","active":true,"usgs":false}],"preferred":false,"id":893154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":893155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Malek, Ziga 0000-0002-6981-6708","orcid":"https://orcid.org/0000-0002-6981-6708","contributorId":299652,"corporation":false,"usgs":false,"family":"Malek","given":"Ziga","email":"","affiliations":[{"id":64916,"text":"Vrije Univeriteit Amsterdam","active":true,"usgs":false}],"preferred":false,"id":893156,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251093,"text":"70251093 - 2024 - Identifying and constraining marsh-type transitions in response to increasing erosion over the past century","interactions":[],"lastModifiedDate":"2025-05-13T15:59:57.107562","indexId":"70251093","displayToPublicDate":"2024-01-22T06:39:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Identifying and constraining marsh-type transitions in response to increasing erosion over the past century","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Marsh environments, characterized by their flora and fauna, change laterally in response to shoreline erosion, water levels and inundation, and anthropogenic activities. The Grand Bay coastal system (USA) has undergone multiple large-scale geomorphic and hydrologic changes resulting in altered sediment supply, depositional patterns, and degraded barrier islands, leaving wetland salt marshes vulnerable to increased wave activity. Two shore-perpendicular transect sites, one along a low-activity shoreline and the other in a high activity area of the same bay-marsh complex, were sampled to investigate how the marshes within 50 m of the modern shoreline have responded to different levels of increased wave activity over the past century. Surface sediments graded finer and more organic with increased distance from the shoreline while cores generally exhibited a coarsening upwards grain-size trend; all cores contained multiple large sedimentological shifts.<span>&nbsp;</span><sup>210</sup>Pb-based mass accumulation rates over the last two decades were greater than the long-term (centurial) average at each site with the fastest accumulation rates of 7.81 ± 1.58 and 7.79 ± 1.63 kg/m<sup>2</sup>/year at the sites nearest the shoreline. A shoreline change analysis of three time-slices (1848–2017, 1957–2017, 2016–2017) shows increased erosion at both sites since 1848 with modern rates of −0.95 and −0.88 m/year. Downcore sedimentology, mass accumulation rates, and shoreline change rates paired with foraminiferal biofacies and identification of local estuarine indicator species,<span>&nbsp;</span><i>Paratrochammina simplissima</i>, aided in identifying paleo marsh types, their relative proximity to the shoreline, and sediment provenance. The high-energy marsh site transitioned from middle marsh to low marsh in the 1960s, and the low-energy marsh site transitioned later, at the end of the twentieth and early twenty-first century, due to its more protected location. Marsh type transition corresponds chronologically with the coarsening upwards grain-size trend observed and the degradation of Grand Batture Island; since its submergence, signatures of multiple storm event have been preserved downcore.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s12237-023-01320-9","usgsCitation":"Ellis, A.M., Smith, C., Smith, K., and Jacobs, J.A., 2024, Identifying and constraining marsh-type transitions in response to increasing erosion over the past century: Estuaries and Coasts, v. 47, p. 701-723, https://doi.org/10.1007/s12237-023-01320-9.","productDescription":"23 p.","startPage":"701","endPage":"723","ipdsId":"IP-139224","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440666,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-023-01320-9","text":"Publisher Index Page"},{"id":424735,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.55887042293745,\n              30.413358534481205\n            ],\n            [\n              -88.55887042293745,\n              30.2776597547238\n            ],\n            [\n              -88.36935626278142,\n              30.2776597547238\n            ],\n            [\n              -88.36935626278142,\n              30.413358534481205\n            ],\n            [\n              -88.55887042293745,\n              30.413358534481205\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Ellis, Alisha M. 0000-0002-1785-020X aellis@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-020X","contributorId":192957,"corporation":false,"usgs":true,"family":"Ellis","given":"Alisha","email":"aellis@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Christopher G. 0000-0002-8075-4763","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":218439,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Kathryn E.L. 0000-0002-7521-7875 kelsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-7521-7875","contributorId":173264,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn","email":"kelsmith@usgs.gov","middleInitial":"E.L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobs, Jessica A. 0000-0001-5611-2093","orcid":"https://orcid.org/0000-0001-5611-2093","contributorId":333551,"corporation":false,"usgs":true,"family":"Jacobs","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893071,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250940,"text":"70250940 - 2024 - Recent increases in annual, seasonal, and extreme methane fluxes driven by changes in climate and vegetation in boreal and temperate wetland ecosystems","interactions":[],"lastModifiedDate":"2024-01-24T16:29:35.838861","indexId":"70250940","displayToPublicDate":"2024-01-21T10:28:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Recent increases in annual, seasonal, and extreme methane fluxes driven by changes in climate and vegetation in boreal and temperate wetland ecosystems","docAbstract":"<p><span>Climate warming is expected to increase global methane (CH</span><sub>4</sub><span>) emissions from wetland ecosystems. Although in&nbsp;situ eddy covariance (EC) measurements at ecosystem scales can potentially detect CH</span><sub>4</sub><span>&nbsp;flux changes, most EC systems have only a few years of data collected, so temporal trends in CH</span><sub>4</sub><span>&nbsp;remain uncertain. Here, we use established drivers to hindcast changes in CH</span><sub>4</sub><span>&nbsp;fluxes (FCH</span><sub>4</sub><span>) since the early 1980s. We trained a machine learning (ML) model on CH</span><sub>4</sub><span>&nbsp;flux measurements from 22 [methane-producing sites] in wetland, upland, and lake sites of the FLUXNET-CH</span><sub>4</sub><span>&nbsp;database with at least two full years of measurements across temperate and boreal biomes. The gradient boosting decision tree ML model then hindcasted daily FCH</span><sub>4</sub><span>&nbsp;over 1981–2018 using meteorological reanalysis data. We found that, mainly driven by rising temperature, half of the sites (</span><i>n</i><span> = 11) showed significant increases in annual, seasonal, and extreme FCH</span><sub>4</sub><span>, with increases in FCH</span><sub>4</sub><span>&nbsp;of ca. 10% or higher found in the fall from 1981–1989 to 2010–2018. The annual trends were driven by increases during summer and fall, particularly at high-CH</span><sub>4</sub><span>-emitting fen sites dominated by aerenchymatous plants. We also found that the distribution of days of extremely high FCH</span><sub>4</sub><span>&nbsp;(defined according to the 95th percentile of the daily FCH</span><sub>4</sub><span>&nbsp;values over a reference period) have become more frequent during the last four decades and currently account for 10–40% of the total seasonal fluxes. The share of extreme FCH</span><sub>4</sub><span>&nbsp;days in the total seasonal fluxes was greatest in winter for boreal/taiga sites and in spring for temperate sites, which highlights the increasing importance of the non-growing seasons in annual budgets. Our results shed light on the effects of climate warming on wetlands, which appears to be extending the CH</span><sub>4</sub><span>&nbsp;emission seasons and boosting extreme emissions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17131","usgsCitation":"Feron, S., Malhotra, A., Bansal, S., Fluet-Chouinard, E., McNicol, G., Knox, S., Delwiche, K., Cordero, R., Ouyang, Z., Zhang, Z., Poulter, B., and Jackson, R., 2024, Recent increases in annual, seasonal, and extreme methane fluxes driven by changes in climate and vegetation in boreal and temperate wetland ecosystems: Global Change Biology, v. 30, no. 1, e17131, 18 p., https://doi.org/10.1111/gcb.17131.","productDescription":"e17131, 18 p.","ipdsId":"IP-158799","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":440670,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17131","text":"Publisher Index Page"},{"id":424864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Feron, Sarah","contributorId":330045,"corporation":false,"usgs":false,"family":"Feron","given":"Sarah","affiliations":[{"id":78774,"text":"University of Groningen, Netherlands","active":true,"usgs":false}],"preferred":false,"id":892305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malhotra, Avni","contributorId":330047,"corporation":false,"usgs":false,"family":"Malhotra","given":"Avni","affiliations":[{"id":37399,"text":"University of Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":892306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":892307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fluet-Chouinard, Etienne","contributorId":217392,"corporation":false,"usgs":false,"family":"Fluet-Chouinard","given":"Etienne","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":892308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNicol, Gavin 0000-0002-6655-8045","orcid":"https://orcid.org/0000-0002-6655-8045","contributorId":260536,"corporation":false,"usgs":false,"family":"McNicol","given":"Gavin","email":"","affiliations":[],"preferred":false,"id":892309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knox, Sarah 0000-0003-2255-5835","orcid":"https://orcid.org/0000-0003-2255-5835","contributorId":167493,"corporation":false,"usgs":false,"family":"Knox","given":"Sarah","affiliations":[{"id":24725,"text":"Ecosystem Science Division, Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":892310,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Delwiche, Kyle","contributorId":330044,"corporation":false,"usgs":false,"family":"Delwiche","given":"Kyle","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":892311,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cordero, Raul","contributorId":333264,"corporation":false,"usgs":false,"family":"Cordero","given":"Raul","email":"","affiliations":[],"preferred":false,"id":892312,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ouyang, Zutao","contributorId":260556,"corporation":false,"usgs":false,"family":"Ouyang","given":"Zutao","email":"","affiliations":[],"preferred":false,"id":892313,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhang, Zhen 0000-0003-0899-1139","orcid":"https://orcid.org/0000-0003-0899-1139","contributorId":149173,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhen","email":"","affiliations":[],"preferred":false,"id":892314,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Poulter, Benjamin","contributorId":330088,"corporation":false,"usgs":false,"family":"Poulter","given":"Benjamin","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":892315,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jackson, Robert B.","contributorId":330089,"corporation":false,"usgs":false,"family":"Jackson","given":"Robert B.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":892316,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70251189,"text":"70251189 - 2024 - Modeling the response of an endangered rabbit population to RHDV2 and vaccination","interactions":[],"lastModifiedDate":"2024-02-26T16:10:41.674522","indexId":"70251189","displayToPublicDate":"2024-01-21T06:52:21","publicationYear":"2024","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":"Modeling the response of an endangered rabbit population to RHDV2 and vaccination","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Rabbit hemorrhagic disease virus 2 (RHDV2), recently detected in the western United States, has the potential to cause mass mortality events in wild rabbit and hare populations. Currently, few management strategies exist other than vaccination. We developed a spatially explicit model of RHDV2 for a population of riparian brush rabbits (<i>Sylvilagus bachmani riparius</i>), a subspecies of brush rabbit classified as endangered in the United States, on a subsection of the San Joaquin River National Wildlife Refuge. The goal of our model was to provide guidance regarding vaccination strategies for an endangered rabbit species. Our model predicts that increased interactions between rabbits (a proxy for landscape connectivity) and disease transmission rates among susceptible hosts (individual brush rabbits and conspecifics) have the greatest influence on the outcome of a potential vaccination campaign. Our model projects that across a range of parameter estimates (given an RHDV2 incursion), the median estimated population size with a 0%–10% vaccination rate after 1 year is 538 rabbits (95% Confidence Interval [C.I.] 69–1235), approximately 36% of the expected size of the study population of 1470 rabbits without an RHDV2 introduction. With a 10%–20%, 20%–30%, or 30%–40% vaccination rate, the median estimated population size increased to 628 rabbits (95% C.I. 130–1298), 723 rabbits (95% C.I. 198–1317), and 774 rabbits (95% C.I. 228–1410), respectively. These estimates represent 43%, 49%, and 53% of the expected population size without an RHDV2 introduction. Overall, a 1% increase in vaccination rate was associated with a six rabbit (95% C.I. 5–7) increase in total remaining population size. This result is dependent on assumptions regarding environmental transmission, home range size (and contact rates of rabbits). Given the relatively short lifespan of rabbits and the potential need for boosters, vaccination programs are most likely to be successful for small target populations where relatively high vaccination rates can be maintained.</p></div></div>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13072","usgsCitation":"Russell, R., Dusek, R.J., Prevost, S., Clifford, D.L., Moriarty, M., and Takahashi, F., 2024, Modeling the response of an endangered rabbit population to RHDV2 and vaccination: Conservation Science and Practice, v. 6, no. 2, e13072, 13 p., https://doi.org/10.1111/csp2.13072.","productDescription":"e13072, 13 p.","ipdsId":"IP-147761","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":440673,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13072","text":"Publisher Index Page"},{"id":425015,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin River National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.62025610096535,\n              37.8714544164978\n            ],\n            [\n              -121.62025610096535,\n              37.44731447957429\n            ],\n            [\n              -120.77127456488822,\n              37.44731447957429\n            ],\n            [\n              -120.77127456488822,\n              37.8714544164978\n            ],\n            [\n              -121.62025610096535,\n              37.8714544164978\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Robin 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":333621,"corporation":false,"usgs":false,"family":"Russell","given":"Robin","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":893401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":893402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prevost, Stephanie","contributorId":333622,"corporation":false,"usgs":false,"family":"Prevost","given":"Stephanie","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":893403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clifford, Deana L.","contributorId":333623,"corporation":false,"usgs":false,"family":"Clifford","given":"Deana","email":"","middleInitial":"L.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":893404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moriarty, Megan","contributorId":333624,"corporation":false,"usgs":false,"family":"Moriarty","given":"Megan","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":893405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Takahashi, Fumika","contributorId":333625,"corporation":false,"usgs":false,"family":"Takahashi","given":"Fumika","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":893406,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251492,"text":"70251492 - 2024 - Dynamic modeling of coastal compound flooding hazards due to tides, extratropical storms, waves, and sea-level rise: A case study in the Salish Sea, Washington (USA)","interactions":[],"lastModifiedDate":"2024-02-13T15:05:07.531397","indexId":"70251492","displayToPublicDate":"2024-01-20T08:57:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic modeling of coastal compound flooding hazards due to tides, extratropical storms, waves, and sea-level rise: A case study in the Salish Sea, Washington (USA)","docAbstract":"<p><span>The Puget Sound Coastal Storm Modeling System (PS-CoSMoS) is a tool designed to dynamically downscale future climate scenarios (i.e., projected changes in wind and pressure fields and temperature) to compute regional water levels, waves, and compound flooding over large geographic areas (100 s of kilometers) at high spatial resolutions (1 m) pertinent to coastal hazard assessments and planning. This research focuses on advancing robust and computationally efficient approaches to resolving the coastal compound flooding components for complex, estuary environments and their application to the Puget Sound region of Washington State (USA) and the greater Salish Sea. The modeling system provides coastal planners with projections of storm hazards and flood exposure for recurring flood events, spanning the annual to 1-percent annual chance of flooding, necessary to manage public safety and the prioritization and cost-efficient protection of critical infrastructure and valued ecosystems. The tool is applied and validated for Whatcom County, Washington, and includes a cross-shore profile model (XBeach) and overland flooding model (SFINCS) and is nested in a regional tide–surge model and wave model. Despite uncertainties in boundary conditions, hindcast simulations performed with the coupled model system accurately identified areas that were flooded during a recent storm in 2018. Flood hazards and risks are expected to increase exponentially as the sea level rises in the study area of 210 km of shoreline. With 1 m of sea-level rise, annual flood extents are projected to increase from 13 to 33 km</span><sup>2</sup><span>&nbsp;(5 and 13% of low-lying Whatcom County) and flood risk (defined in USD) is projected to increase fifteenfold (from 14 to USD 206 million). PS-CoSMoS, like its prior iteration in California (CoSMoS), provides valuable coastal hazard projections to help communities plan for the impacts of sea-level rise and storms.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w16020346","usgsCitation":"Nederhoff, K., Crosby, S.C., vanArendonk, N.R., Grossman, E.E., Tehranirad, B., Leijnse, T., Klessens, W., and Barnard, P.L., 2024, Dynamic modeling of coastal compound flooding hazards due to tides, extratropical storms, waves, and sea-level rise: A case study in the Salish Sea, Washington (USA): Water, v. 16, no. 2, 346, 23 p., https://doi.org/10.3390/w16020346.","productDescription":"346, 23 p.","ipdsId":"IP-147555","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w16020346","text":"Publisher Index Page"},{"id":425606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Whatcom County","otherGeospatial":"Salish Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.1,\n              49.1\n            ],\n            [\n              -123.1,\n              48.6\n            ],\n            [\n              -122.4,\n              48.6\n            ],\n            [\n              -122.4,\n              49.1\n            ],\n            [\n              -123.1,\n              49.1\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Nederhoff, Kees 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":334091,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Kees","affiliations":[{"id":39963,"text":"Deltares-USA","active":true,"usgs":false}],"preferred":true,"id":894711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crosby, Sean C. 0000-0002-1499-6836","orcid":"https://orcid.org/0000-0002-1499-6836","contributorId":219466,"corporation":false,"usgs":false,"family":"Crosby","given":"Sean","email":"","middleInitial":"C.","affiliations":[{"id":40000,"text":"Contractor, USGS","active":true,"usgs":false}],"preferred":false,"id":894712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"vanArendonk, Nathan R. 0000-0003-3911-995X","orcid":"https://orcid.org/0000-0003-3911-995X","contributorId":219469,"corporation":false,"usgs":false,"family":"vanArendonk","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":894713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":894714,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tehranirad, Babak 0000-0002-1634-9165","orcid":"https://orcid.org/0000-0002-1634-9165","contributorId":299107,"corporation":false,"usgs":false,"family":"Tehranirad","given":"Babak","affiliations":[{"id":64774,"text":"contracted to USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":894715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leijnse, T.","contributorId":334101,"corporation":false,"usgs":false,"family":"Leijnse","given":"T.","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":894716,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klessens, W.","contributorId":334103,"corporation":false,"usgs":false,"family":"Klessens","given":"W.","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":894717,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":894718,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251129,"text":"70251129 - 2024 - Mixture effects of per- and polyfluoroalkyl substances on embryonic and larval Sheepshead Minnows (Cyprinodon variegatus)","interactions":[],"lastModifiedDate":"2024-01-24T13:07:12.21018","indexId":"70251129","displayToPublicDate":"2024-01-20T07:04:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7597,"text":"Toxics","active":true,"publicationSubtype":{"id":10}},"title":"Mixture effects of per- and polyfluoroalkyl substances on embryonic and larval Sheepshead Minnows (Cyprinodon variegatus)","docAbstract":"<div class=\"html-p\">Per- and polyfluoroalkyl substances (PFAS) are ubiquitous and persistent environmental contaminants originating from many everyday products. Perfluorooctane sulfonic acid (PFOS) and perfluorooctanoic acid (PFOA) are two PFAS that are commonly found at high concentrations in aquatic environments. Both chemicals have previously been shown to be toxic to fish, as well as having complex and largely uncharacterized mixture effects. However, limited information is available on marine and estuarine species. In this study, embryonic and larval sheepshead minnows (<span class=\"html-italic\">Cyprinodon variegatus</span>) were exposed to several PFAS mixtures to assess lethal and sublethal effects. PFOS alone was acutely toxic to larvae, with a 96 h LC<sub>50</sub><span>&nbsp;</span>of 1.97 mg/L (1.64–2.16). PFOS + PFOA resulted in a larval LC<sub>50</sub><span>&nbsp;</span>of 3.10 (2.62–3.79) mg/L, suggesting an antagonistic effect. These observations were supported by significant reductions in malondialdehyde (105% ± 3.25) and increases in reduced glutathione concentrations (43.8% ± 1.78) in PFOS + PFOA exposures compared to PFOS-only treatments, indicating reduced oxidative stress. While PFOA reduced PFOS-induced mortality (97.0% ± 3.03), perfluorohexanoic acid (PFHxA) and perfluorobutanoic acid (PFBA) did not. PFOS alone did not affect expression of peroxisome proliferator-activated receptor alpha (<span class=\"html-italic\">pparα</span>) but significantly upregulated apolipoprotein A4 (<span class=\"html-italic\">apoa4</span>) (112.4% ± 17.8), a downstream product of<span>&nbsp;</span><span class=\"html-italic\">pparα</span>, while none of the other individually tested PFAS affected<span>&nbsp;</span><span class=\"html-italic\">apoa4</span><span>&nbsp;</span>expression. These findings suggest that there are antagonistic interactions between PFOA and PFOS that may reduce mixture toxicity in larval sheepshead minnows through reduced oxidative stress. Elucidating mechanisms of toxicity and interactions between PFAS will aid environmental regulation and management of these ubiquitous pollutants.</div>","language":"English","publisher":"MDPI","doi":"10.3390/toxics12010091","usgsCitation":"Tanabe, P., Key, P.B., Chung, K.W., Pisarski, E.C., Reiner, J.L., E., R.A., Magnuson, J.T., and DeLorenzo, M.E., 2024, Mixture effects of per- and polyfluoroalkyl substances on embryonic and larval Sheepshead Minnows (Cyprinodon variegatus): Toxics, v. 12, no. 1, 91, 15 p., https://doi.org/10.3390/toxics12010091.","productDescription":"91, 15 p.","ipdsId":"IP-160475","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":440679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/toxics12010091","text":"Publisher Index Page"},{"id":424852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Tanabe, Philip","contributorId":333579,"corporation":false,"usgs":false,"family":"Tanabe","given":"Philip","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":893211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Key, Peter B.","contributorId":333580,"corporation":false,"usgs":false,"family":"Key","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":893212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chung, Katy W.","contributorId":333581,"corporation":false,"usgs":false,"family":"Chung","given":"Katy","email":"","middleInitial":"W.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":893213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pisarski, Emily C.","contributorId":333582,"corporation":false,"usgs":false,"family":"Pisarski","given":"Emily","email":"","middleInitial":"C.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":893214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reiner, Jessica L.","contributorId":213361,"corporation":false,"usgs":false,"family":"Reiner","given":"Jessica","email":"","middleInitial":"L.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":893215,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"E., Rodowa. Alix","contributorId":333583,"corporation":false,"usgs":false,"family":"E.","given":"Rodowa.","email":"","middleInitial":"Alix","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":893216,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":893217,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeLorenzo, Marie E.","contributorId":333585,"corporation":false,"usgs":false,"family":"DeLorenzo","given":"Marie","email":"","middleInitial":"E.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":893218,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251280,"text":"70251280 - 2024 - Scattered tree death contributes to substantial forest loss in California","interactions":[],"lastModifiedDate":"2024-02-02T13:04:23.863538","indexId":"70251280","displayToPublicDate":"2024-01-20T07:00:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Scattered tree death contributes to substantial forest loss in California","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>In recent years, large-scale tree mortality events linked to global change have occurred around the world. Current forest monitoring methods are crucial for identifying mortality hotspots, but systematic assessments of isolated or scattered dead trees over large areas are needed to reduce uncertainty on the actual extent of tree mortality. Here, we mapped individual dead trees in California using sub-meter resolution aerial photographs from 2020 and deep learning-based dead tree detection. We identified 91.4 million dead trees over 27.8 million hectares of vegetated areas (16.7-24.7% underestimation bias when compared to field data). Among these, a total of 19.5 million dead trees appeared isolated, and 60% of all dead trees occurred in small groups ( ≤ 3 dead trees within a 30 × 30 m grid), which is largely undetected by other state-level monitoring methods. The widespread mortality of individual trees impacts the carbon budget and sequestration capacity of California forests and can be considered a threat to forest health and a fuel source for future wildfires.</p></div></div>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-024-44991-z","usgsCitation":"Cheng, Y., Oehmcke, S., Brandt, M., Rosenthal, L.M., Das, A., Vrieling, A., Saatchi, S., Wagner, F., Mugabowindekwe, M., Verbruggen, W., Beier, C., and Horion, S., 2024, Scattered tree death contributes to substantial forest loss in California: Nature Communications, v. 15, 641, 13 p., https://doi.org/10.1038/s41467-024-44991-z.","productDescription":"641, 13 p.","ipdsId":"IP-152998","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":440681,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-024-44991-z","text":"Publisher Index Page"},{"id":435060,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GYXCPG","text":"USGS data release","linkHelpText":"Dead Tree Detection Validation Data from Sequoia and Kings Canyon National Parks"},{"id":425283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.11960177152828,\n              42.37606555507415\n            ],\n            [\n              -124.68077142370008,\n              41.607281622908715\n            ],\n            [\n              -125.18229182121792,\n              40.829226574475\n            ],\n            [\n              -124.55539132432042,\n              39.415162656052075\n            ],\n  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       [\n              -125.11960177152828,\n              42.37606555507415\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2024-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheng, Yang","contributorId":211352,"corporation":false,"usgs":false,"family":"Cheng","given":"Yang","email":"","affiliations":[],"preferred":false,"id":893829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oehmcke, Stefan","contributorId":333752,"corporation":false,"usgs":false,"family":"Oehmcke","given":"Stefan","email":"","affiliations":[{"id":25488,"text":"University of Copenhagen, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":893830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Martin","contributorId":198823,"corporation":false,"usgs":false,"family":"Brandt","given":"Martin","email":"","affiliations":[],"preferred":false,"id":893831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenthal, Lisa Micaela 0000-0003-4030-7587","orcid":"https://orcid.org/0000-0003-4030-7587","contributorId":302747,"corporation":false,"usgs":true,"family":"Rosenthal","given":"Lisa","email":"","middleInitial":"Micaela","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":893876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":893832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vrieling, Anton","contributorId":333753,"corporation":false,"usgs":false,"family":"Vrieling","given":"Anton","email":"","affiliations":[{"id":36702,"text":"University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":893834,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Saatchi, Sassan","contributorId":192411,"corporation":false,"usgs":false,"family":"Saatchi","given":"Sassan","email":"","affiliations":[],"preferred":false,"id":893835,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Fabien","contributorId":333754,"corporation":false,"usgs":false,"family":"Wagner","given":"Fabien","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":893836,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mugabowindekwe, Maurice","contributorId":333755,"corporation":false,"usgs":false,"family":"Mugabowindekwe","given":"Maurice","email":"","affiliations":[{"id":25488,"text":"University of Copenhagen, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":893837,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Verbruggen, Wim","contributorId":333756,"corporation":false,"usgs":false,"family":"Verbruggen","given":"Wim","email":"","affiliations":[{"id":25488,"text":"University of Copenhagen, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":893838,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Beier, Claus","contributorId":187574,"corporation":false,"usgs":false,"family":"Beier","given":"Claus","email":"","affiliations":[],"preferred":false,"id":893839,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Horion, Stephanie","contributorId":333757,"corporation":false,"usgs":false,"family":"Horion","given":"Stephanie","email":"","affiliations":[{"id":25488,"text":"University of Copenhagen, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":893840,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70251215,"text":"70251215 - 2024 - Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems","interactions":[],"lastModifiedDate":"2024-01-29T12:17:12.358785","indexId":"70251215","displayToPublicDate":"2024-01-20T06:14:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17141,"text":"Computers and Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>The Curl-Curl equation is the foundation of time-harmonic electromagnetic (EM) problems in&nbsp;geophysics. The efficiency of its solution is key to&nbsp;EM simulations, accounting for over 95% of the computation cost in geophysical inversions for&nbsp;</span>magnetotelluric<span>&nbsp;or controlled-source EM problems. However, most published EM inversion codes are still&nbsp;central processing unit&nbsp;(CPU)-based and cannot utilize recent computational developments on the&nbsp;graphic processing units&nbsp;(GPUs). Based on a previously proposed divergence-free algorithm developed on CPUs, this study demonstrates the current limits of the CPU-based&nbsp;inversion procedure. To exploit the&nbsp;high throughput&nbsp;capability of GPUs, we propose a hybrid CPU-GPU framework to solve forward and&nbsp;adjoint&nbsp;problems required for EM inversions. The large sparse&nbsp;linear systems&nbsp;arising from the staggered-grid finite difference approximation of the Curl-Curl equation are solved with a mixed-precision&nbsp;Krylov subspace&nbsp;solver implemented on a GPU. The algorithm is then tested in EM forward and adjoint calculations, with real-world three-dimensional numerical examples. Test results show promising 30× kernel-level speed-ups over the conventional CPU algorithm. This approach may further take the complex frequency domain EM inversions onto the next, practical stage on small affordable GPU platforms.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2024.105518","usgsCitation":"Dong, H., Sun, K., Egbert, G.D., Kelbert, A., and Meqbel, N., 2024, Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems: Computers and Geosciences, v. 184, 105518, 13 p., https://doi.org/10.1016/j.cageo.2024.105518.","productDescription":"105518, 13 p.","ipdsId":"IP-151952","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":425080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"184","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dong, Hao","contributorId":333681,"corporation":false,"usgs":false,"family":"Dong","given":"Hao","email":"","affiliations":[{"id":79952,"text":"School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China","active":true,"usgs":false}],"preferred":false,"id":893542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sun, Kai","contributorId":333682,"corporation":false,"usgs":false,"family":"Sun","given":"Kai","email":"","affiliations":[{"id":79952,"text":"School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China","active":true,"usgs":false}],"preferred":false,"id":893543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Egbert, Gary D.","contributorId":187462,"corporation":false,"usgs":false,"family":"Egbert","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":893544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meqbel, Naser","contributorId":187463,"corporation":false,"usgs":false,"family":"Meqbel","given":"Naser","email":"","affiliations":[],"preferred":false,"id":893546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70254837,"text":"70254837 - 2024 - Novel technique for suppressing an invasive apex predator minimally alters nitrogen dynamics in Yellowstone Lake, Wyoming, USA","interactions":[],"lastModifiedDate":"2024-06-12T00:19:09.295072","indexId":"70254837","displayToPublicDate":"2024-01-19T19:15:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Novel technique for suppressing an invasive apex predator minimally alters nitrogen dynamics in Yellowstone Lake, Wyoming, USA","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Non-native species have invaded most ecosystems and methods are needed to manage them, especially in locations with sensitive species where they cannot be easily extirpated. Gillnetting for invasive lake trout [<i>Salvelinus namaycush</i><span>&nbsp;</span>(Walbaum, 1792)] in Yellowstone Lake, Yellowstone National Park, USA began in 1995 and their carcasses are deposited into deep areas. This suppression method was recently supplemented by adding carcasses to shallow (&lt; 20&nbsp;m) spawning sites during the autumn spawning period to decrease dissolved oxygen through decomposition, suffocating lake trout embryos. We measured ammonium concentrations (shallow and deep sites), algal biomass, and ammonium uptake by phytoplankton and periphyton (shallow sites only) to investigate the degree to which carcasses caused bottom-up effects. Ammonium concentrations increased in autumn and were higher at deep sites than shallow sites. Algal biomass and ammonium uptake did not increase after adding carcasses, suggesting minimal effects. Periphyton biomass was 9 times higher than phytoplankton, but phytoplankton demanded 4.5 times more ammonium. Returning lake trout carcasses to deep areas of the lake may cause a second algal bloom. Assessing how novel management techniques alter the environment helps managers develop the most successful mitigation strategies that are effective without causing adverse effects to other portions of the ecosystem.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10750-023-05450-w","usgsCitation":"Tronstad, L., Lujan, D.R., Briggs, M., Albertson, L., Glassic, H., Guy, C.S., and Koel, T., 2024, Novel technique for suppressing an invasive apex predator minimally alters nitrogen dynamics in Yellowstone Lake, Wyoming, USA: Hydrobiologia, v. 851, p. 2215-2236, https://doi.org/10.1007/s10750-023-05450-w.","productDescription":"22 p.","startPage":"2215","endPage":"2236","ipdsId":"IP-135186","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.8057817174898,\n              44.7336072527186\n            ],\n            [\n              -110.8057817174898,\n              44.136499944353204\n            ],\n            [\n              -109.93619151254967,\n              44.136499944353204\n            ],\n            [\n              -109.93619151254967,\n              44.7336072527186\n            ],\n            [\n              -110.8057817174898,\n              44.7336072527186\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"851","noUsgsAuthors":false,"publicationDate":"2024-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Tronstad, Lusha M.","contributorId":337783,"corporation":false,"usgs":false,"family":"Tronstad","given":"Lusha M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":902678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lujan, Dominique R.","contributorId":337781,"corporation":false,"usgs":false,"family":"Lujan","given":"Dominique","email":"","middleInitial":"R.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":902677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Michelle A.","contributorId":337786,"corporation":false,"usgs":false,"family":"Briggs","given":"Michelle A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Albertson, Lindsey K.","contributorId":337789,"corporation":false,"usgs":false,"family":"Albertson","given":"Lindsey K.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902680,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glassic, Hayley C.","contributorId":337792,"corporation":false,"usgs":false,"family":"Glassic","given":"Hayley C.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902676,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koel, Todd M.","contributorId":337795,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":81042,"text":"Native Fish Conservation Program","active":true,"usgs":false}],"preferred":false,"id":902682,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70263933,"text":"70263933 - 2024 - Linking avian malaria parasitemia estimates from quantitative PCR and microscopy reveals new infection patterns in Hawai'i","interactions":[],"lastModifiedDate":"2025-02-28T15:45:57.891687","indexId":"70263933","displayToPublicDate":"2024-01-19T09:41:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2024,"text":"International Journal for Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Linking avian malaria parasitemia estimates from quantitative PCR and microscopy reveals new infection patterns in Hawai'i","docAbstract":"<p><i>Plasmodium</i><span>&nbsp;parasites infect thousands of species and provide an exceptional system for studying host-pathogen dynamics, especially for multi-host pathogens. However, understanding these interactions requires an accurate assay of infection. Assessing&nbsp;</span><i>Plasmodium</i><span>&nbsp;infections using microscopy on blood smears often misses infections with low parasitemias (the fractions of cells infected), and biases in malaria prevalence estimates will differ among hosts that differ in mean parasitemias. We examined&nbsp;</span><i>Plasmodium relictum</i><span>&nbsp;infection and parasitemia using both microscopy of blood smears and quantitative polymerase chain reaction (qPCR) on 299 samples from multiple bird species in Hawai'i and fit models to predict parasitemias from qPCR cycle threshold (Ct) values. We used these models to quantify the extent to which microscopy underestimated infection prevalence and to more accurately estimate infection patterns for each species for a large historical study done by microscopy. We found that most qPCR-positive wild-caught birds in Hawaii had low parasitemias (Ct scores ≥35), which were rarely detected by microscopy. The fraction of infections missed by microscopy differed substantially among eight species due to differences in species’ parasitemia levels. Infection prevalence was likely 4–5-fold higher than previous microscopy estimates for three introduced species, including&nbsp;</span><i>Zosterops japonicus</i><span>, Hawaii’s most abundant forest bird, which had low average parasitemias. In contrast, prevalence was likely only 1.5–2.3-fold higher than previous estimates for&nbsp;</span><i>Himatione sanguinea</i><span>&nbsp;and&nbsp;</span><i>Chlorodrepanis virens</i><span>, two native species with high average parasitemias. Our results indicate that relative patterns of infection among species differ substantially from those observed in previous microscopy studies, and that differences depend on variation in parasitemias among species. Although microscopy of blood smears is useful for estimating the frequency of different&nbsp;</span><i>Plasmodium</i><span>&nbsp;stages and host attributes, more sensitive quantitative methods, including qPCR, are needed to accurately estimate and compare infection prevalence among host species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijpara.2023.10.001","usgsCitation":"Seidi, C., Ferreira, F.C., Parise, K., Paxton, K.L., Paxton, E.H., Atkinson, C., Fleischer, R., Foster, J., and Kipatrick, A., 2024, Linking avian malaria parasitemia estimates from quantitative PCR and microscopy reveals new infection patterns in Hawai'i: International Journal for Parasitology, v. 54, no. 2, p. 123-130, https://doi.org/10.1016/j.ijpara.2023.10.001.","productDescription":"8 p.","startPage":"123","endPage":"130","ipdsId":"IP-155137","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research 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,{"id":70251160,"text":"70251160 - 2024 - Temporal variability in irrigated land and climate influences on salinity loading across the Upper Colorado River Basin, 1986-2017","interactions":[],"lastModifiedDate":"2024-01-25T12:55:51.096512","indexId":"70251160","displayToPublicDate":"2024-01-19T06:52:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variability in irrigated land and climate influences on salinity loading across the Upper Colorado River Basin, 1986-2017","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Freshwater salinization is a growing global concern impacting human and ecosystem needs with impacts to water availability for human and ecological uses. In the Upper Colorado River Basin (UCRB), dissolved solids in streams compound ongoing water supply challenges to further limit water availability and cause economic damages. Much effort has been dedicated to understanding dissolved solid sources, transport, and management in the region, yet temporal variability in loading from key sources such as irrigated lands and the influence of climate on dissolved solids loading remains unknown. Quantifying the contributions and temporal variability of dissolved solids loads from irrigated lands may benefit salinity management efforts. This study applies a time-varying (dynamic) modeling approach to predict annual dissolved solids loads across the UCRB from 1986 through 2017. Between 66% and 82% of the total accumulated dissolved solids load in the basin is from groundwater (storage and baseflow). Our findings link climate, irrigation, and groundwater, and confirm large storage contributions that have declined slightly with time. Dissolved solids loads increase during wet periods and decrease during dry periods, although the relative contributions of different sources vary little with time. Irrigation enhances loading efficiency relative to unirrigated areas through runoff and groundwater, and can locally be a major source of dissolved solids where irrigation occurs. Results indicate that loads from irrigated areas increase when irrigated area and/or water available for runoff increase. Increased regional aridification over the study period may have contributed to decreasing stream salinity through both quicker surface runoff and lagged groundwater storage processes. Study results may be relevant to salinity management in arid environments where water availability is limited and where irrigation influences salinity loading to streams.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ad18dd","usgsCitation":"Miller, O.L., Putman, A.L., Smith, R.A., Schwarz, G.E., Hess, M.D., McDonnell, M.C., and Jones, D.K., 2024, Temporal variability in irrigated land and climate influences on salinity loading across the Upper Colorado River Basin, 1986-2017: Environmental Research Letters, v. 19, no. 2, 024008, 14 p., https://doi.org/10.1088/1748-9326/ad18dd.","productDescription":"024008, 14 p.","ipdsId":"IP-147816","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":440686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ad18dd","text":"Publisher Index Page"},{"id":424946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.17543892334504,\n              43.880984170983\n            ],\n            [\n              -113.17543892334504,\n              34.505329700284875\n            ],\n            [\n              -104.86977486084497,\n              34.505329700284875\n            ],\n            [\n              -104.86977486084497,\n              43.880984170983\n            ],\n            [\n              -113.17543892334504,\n              43.880984170983\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Olivia L. 0000-0002-8846-7048","orcid":"https://orcid.org/0000-0002-8846-7048","contributorId":216556,"corporation":false,"usgs":true,"family":"Miller","given":"Olivia","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putman, Annie L. 0000-0002-9424-1707","orcid":"https://orcid.org/0000-0002-9424-1707","contributorId":225134,"corporation":false,"usgs":true,"family":"Putman","given":"Annie","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Richard A. 0000-0003-2117-2269 rsmith1@usgs.gov","orcid":"https://orcid.org/0000-0003-2117-2269","contributorId":580,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rsmith1@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":893302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":213621,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory","email":"gschwarz@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":893303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hess, Michael D. 0000-0002-9958-9163","orcid":"https://orcid.org/0000-0002-9958-9163","contributorId":216504,"corporation":false,"usgs":true,"family":"Hess","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonnell, Morgan C. 0000-0001-6946-9286","orcid":"https://orcid.org/0000-0001-6946-9286","contributorId":296906,"corporation":false,"usgs":true,"family":"McDonnell","given":"Morgan","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893305,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893306,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251287,"text":"70251287 - 2024 - Wetland geomorphology and tidal hydrodynamics drive fine-scale fish community composition and abundance","interactions":[],"lastModifiedDate":"2024-02-02T12:48:40.705518","indexId":"70251287","displayToPublicDate":"2024-01-19T06:43:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Wetland geomorphology and tidal hydrodynamics drive fine-scale fish community composition and abundance","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Effective restoration of tidal wetlands for fish communities requires clear goals and mechanistic understanding of the ecosystem drivers which affect&nbsp;fish distribution and abundance. We examined fish community responses to abiotic habitat features in two adjacent but dissimilar freshwater tidal wetlands in the Sacramento-San Joaquin Delta, CA, USA, each of which represents a potential restoration configuration. The first wetland was characterized by a broad, intertidal basin with relatively high hydrodynamic exchange with surrounding waterways. The second wetland was characterized by a dendritic network of shallow subtidal channels with relatively low hydrodynamic exchange. Fish community composition significantly differed between the two wetlands, based on permutational analysis of variance. Fish abundance within and among the two wetlands was also highly affected by specific geomorphic and hydrodynamic characteristics: distance from connection with the main external waterway, bed elevation, and water surface elevation. The physical configuration of a restored tidal wetland, in conjunction with the way tides move across the restored landscape, has strong implications for local fishes. Manipulating these elements to create a landscape mosaic of habitat configurations can be an effective tool for targeting desired restoration outcomes, such as specific fish communities or target fish densities.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10641-023-01507-w","usgsCitation":"Clause, J.K., Farruggia, M.J., Feyrer, F.V., and Young, M.J., 2024, Wetland geomorphology and tidal hydrodynamics drive fine-scale fish community composition and abundance: Environmental Biology of Fishes, v. 107, p. 33-46, https://doi.org/10.1007/s10641-023-01507-w.","productDescription":"14 p","startPage":"33","endPage":"46","ipdsId":"IP-157341","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":440688,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10641-023-01507-w","text":"Publisher Index Page"},{"id":425279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.37364768283656,\n              38.58599717537453\n            ],\n            [\n              -122.37364768283656,\n              37.51368931606659\n            ],\n            [\n              -120.96300236622889,\n              37.51368931606659\n            ],\n            [\n              -120.96300236622889,\n              38.58599717537453\n            ],\n            [\n              -122.37364768283656,\n              38.58599717537453\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"107","noUsgsAuthors":false,"publicationDate":"2024-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Clause, Justin Kinsey 0000-0003-0205-0821","orcid":"https://orcid.org/0000-0003-0205-0821","contributorId":270125,"corporation":false,"usgs":true,"family":"Clause","given":"Justin","email":"","middleInitial":"Kinsey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farruggia, Mary Jade 0000-0003-4234-6678","orcid":"https://orcid.org/0000-0003-4234-6678","contributorId":333769,"corporation":false,"usgs":false,"family":"Farruggia","given":"Mary","email":"","middleInitial":"Jade","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":893872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893874,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70253269,"text":"70253269 - 2024 - Facilitating comparable research in seedling functional ecology","interactions":[],"lastModifiedDate":"2024-05-01T11:40:14.30599","indexId":"70253269","displayToPublicDate":"2024-01-19T06:38:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":15221,"text":"Methods in Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Facilitating comparable research in seedling functional ecology","docAbstract":"<ol class=\"\"><li>Ecologists have worked to ascribe function to the variation found in plant populations, communities and ecosystems across environments for at least the past century. The vast body of research in functional ecology has drastically improved understanding of how individuals respond to their environment, communities are assembled and ecosystems function. However, with limited exceptions, few studies have quantified differences in plant function during the<span>&nbsp;</span><i>earliest</i><span>&nbsp;</span>stages of the plant life cycle, and fewer have tested how this early variability shapes populations, communities and ecosystems.</li><li>Drawing from the literature and our collective experience, we describe the current state of knowledge in seedling functional ecology and provide examples of how this subdiscipline can enrich our fundamental understanding of plant function across levels of organisation. To inspire progressive work in this area, we also outline key considerations involved in seedling functional research (who, what, when, where and how to measure seedling traits) and identify remaining challenges and gaps in understanding around methodological approaches.</li><li>Within this conceptual synthesis, we highlight three critical areas in seedling ecology for future research to target. First, given wide variation in the definition of a ‘seedling’, we provide a standard definition based on seed reserve dependence while emphasising the need to measure ontogenetic variation more clearly both within and following the seedling stage. Second, studies demonstrate that seedlings can be studied in multiple media (e.g. soil, agar, filter paper) and conditions (e.g. field, greenhouse, laboratory). We recommend that researchers select methods based on explicit goals, yet follow standard guidelines to reduce methodological noise across studies. Third, research is critically needed to assess the implications of different methodologies on trait measurement and compatibility across studies.</li><li>By highlighting the importance of seedling functional ecology and suggesting pathways to address key challenges, we aim to inspire future research that generates useful and comparable data on seedling functional ecology. This work is critical to explain variation within and among populations, communities and ecosystems and integrate this most vulnerable stage of plant life into ecological frameworks.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14288","usgsCitation":"Winkler, D.E., Garbowski, M., Kozic, K., Ladouceur, E., Larson, J., Martin, S., Rosche, C., Roscher, C., Slate, M.L., and Korell, L., 2024, Facilitating comparable research in seedling functional ecology: Methods in Ecology & Evolution, v. 15, no. 3, p. 464-476, https://doi.org/10.1111/2041-210X.14288.","productDescription":"13 p.","startPage":"464","endPage":"476","ipdsId":"IP-157116","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":440690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14288","text":"Publisher Index Page"},{"id":428264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":899878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garbowski, Magda","contributorId":261595,"corporation":false,"usgs":false,"family":"Garbowski","given":"Magda","email":"","affiliations":[{"id":13099,"text":"German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":899879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kozic, Kevin","contributorId":335940,"corporation":false,"usgs":false,"family":"Kozic","given":"Kevin","email":"","affiliations":[{"id":80584,"text":"Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, D-06108 Halle (Saale), Germany","active":true,"usgs":false}],"preferred":false,"id":899880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ladouceur, Emma","contributorId":270938,"corporation":false,"usgs":false,"family":"Ladouceur","given":"Emma","email":"","affiliations":[{"id":56222,"text":"German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Biodiversity Synthesis & Physiological Diversity","active":true,"usgs":false}],"preferred":false,"id":899881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, Julie","contributorId":211429,"corporation":false,"usgs":false,"family":"Larson","given":"Julie","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":899882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Sarah","contributorId":335941,"corporation":false,"usgs":false,"family":"Martin","given":"Sarah","email":"","affiliations":[{"id":80587,"text":"German Centre for Integrative Biodiversity Research (iDiv) Leipzig-Halle-Jena, Puschstraße 4, 04103 Leipzig, Germany; UFZ, Helmholtz Centre for Environmental Research, Department Physiological Diversity, Permoserstrassse 15, 04318 Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":899883,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosche, Christoph 0000-0002-4257-3072","orcid":"https://orcid.org/0000-0002-4257-3072","contributorId":332732,"corporation":false,"usgs":false,"family":"Rosche","given":"Christoph","email":"","affiliations":[{"id":79615,"text":"Martin Luther University Halle-Wittenberg, Große Steinstraße 79/80, 06108 Halle (Saale), Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":899884,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roscher, Christiane","contributorId":333225,"corporation":false,"usgs":false,"family":"Roscher","given":"Christiane","affiliations":[{"id":79811,"text":"German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig 04103, Germany; Department of Physiological Diversity, Helmholtz-Centre for Environmental Research–UFZ, Leipzig 04318, Germany","active":true,"usgs":false}],"preferred":false,"id":899885,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Slate, Mandy L.","contributorId":335942,"corporation":false,"usgs":false,"family":"Slate","given":"Mandy","email":"","middleInitial":"L.","affiliations":[{"id":80588,"text":"Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA; Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH, 43210 USA","active":true,"usgs":false}],"preferred":false,"id":899886,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Korell, Lotte","contributorId":335943,"corporation":false,"usgs":false,"family":"Korell","given":"Lotte","email":"","affiliations":[{"id":80587,"text":"German Centre for Integrative Biodiversity Research (iDiv) Leipzig-Halle-Jena, Puschstraße 4, 04103 Leipzig, Germany; UFZ, Helmholtz Centre for Environmental Research, Department Physiological Diversity, Permoserstrassse 15, 04318 Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":899887,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
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