{"pageNumber":"164","pageRowStart":"4075","pageSize":"25","recordCount":185177,"records":[{"id":70263708,"text":"70263708 - 2024 - Combined high rates of alternative breeding strategies unexpectedly found among populations of a solitary nesting raptor","interactions":[],"lastModifiedDate":"2025-02-20T15:11:38.678929","indexId":"70263708","displayToPublicDate":"2024-08-19T08:02:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Combined high rates of alternative breeding strategies unexpectedly found among populations of a solitary nesting raptor","docAbstract":"<p><span>Social monogamy is the prevalent mating system in birds, but alternative strategies of extra-pair paternity (EPP) and conspecific brood parasitism (CBP) occur in many species. Raptors are virtually absent in discussions of broad taxonomic reviews regarding EPP and CBP likely because these strategies are mostly absent or at low frequency; CBP is unreported in solitary nesting raptors. In contrast, we found high frequencies of EPP (16%–31%) and CBP (15%–26%) nests among three populations of Cooper's Hawks (</span><i>Accipiter cooperii</i><span>) across the northern breeding range of this solitary nesting, socially monogamous species. EPP and CBP combined occurred in 42%–46% of all nests among populations and hence unexpectedly were nearly equivalent to proportions of genetically monogamous nests. Select covariates failed to predict presence of EPP and CBP in part because virtually all extra-pair adults were uncaught and likely were floaters. We found no support for the hypothesis that territorial females traded copulations for food to maximize energy intake for increased production. Our unique discoveries enhance knowledge of the extent and diversity of alternative breeding strategies among groups of avian and other animal species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70190","usgsCitation":"Rosenfield, R., Sonsthagen, S.A., Stout, W., Driscoll, T., Stewart, A., Frater, P., and Talbot, S., 2024, Combined high rates of alternative breeding strategies unexpectedly found among populations of a solitary nesting raptor: Ecology and Evolution, v. 14, no. 8, e70190, 9 p., https://doi.org/10.1002/ece3.70190.","productDescription":"e70190, 9 p.","ipdsId":"IP-149699","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":489767,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70190","text":"Publisher Index Page"},{"id":482262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"North Dakota, Wisconsin","otherGeospatial":"British Columbia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.66224579513528,\n              49.37114703992023\n            ],\n            [\n              -125.48971420547437,\n              48.284658555794834\n            ],\n            [\n              -121.31263679596735,\n              48.60975116618848\n            ],\n            [\n              -116.37609510458793,\n              48.68924899033392\n            ],\n            [\n              -107.02814048290524,\n              48.85432609532998\n            ],\n            [\n              -96.76874442980454,\n              47.85799909171628\n            ],\n            [\n              -92.81284802493039,\n              47.91251881339643\n            ],\n         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Point","active":true,"usgs":false}],"preferred":false,"id":927909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":927910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stout, William E.","contributorId":351111,"corporation":false,"usgs":false,"family":"Stout","given":"William E.","affiliations":[{"id":83921,"text":"Oconomowoc","active":true,"usgs":false}],"preferred":false,"id":927911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Driscoll, Timothy G.","contributorId":351112,"corporation":false,"usgs":false,"family":"Driscoll","given":"Timothy G.","affiliations":[{"id":13256,"text":"Urban Raptor Research Project","active":true,"usgs":false}],"preferred":false,"id":927912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, Andrew C.","contributorId":351113,"corporation":false,"usgs":false,"family":"Stewart","given":"Andrew C.","affiliations":[{"id":83922,"text":"Cobble Hill, British Columbia, Canada","active":true,"usgs":false}],"preferred":false,"id":927913,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frater, Paul N.","contributorId":351114,"corporation":false,"usgs":false,"family":"Frater","given":"Paul N.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":927914,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Talbot, Sandra L.","contributorId":351115,"corporation":false,"usgs":false,"family":"Talbot","given":"Sandra L.","affiliations":[{"id":83923,"text":"Northwestern Institute of Art and Science","active":true,"usgs":false}],"preferred":false,"id":927915,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259413,"text":"70259413 - 2024 - Predicting the effects of solar energy development on plants and wildlife in the Desert Southwest, United States","interactions":[],"lastModifiedDate":"2024-10-07T11:46:49.220695","indexId":"70259413","displayToPublicDate":"2024-08-19T06:45:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18738,"text":"Renewable & Sustainable Energy Reviews (RSER)","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the effects of solar energy development on plants and wildlife in the Desert Southwest, United States","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><div id=\"abspara0010\" class=\"u-margin-s-bottom\">Utility-scale solar energy (USSE) is rapidly expanding and expected to compose the largest source of renewable-generated electricity in the United States and globally over the coming decades. Lands in the hot Desert Southwest (Chihuahuan, Mojave, Sonoran, and San Joaquin Deserts) are increasingly selected for USSE development because of their high solar irradiance. The Desert Southwest supports high biodiversity and provides many ecosystem services but is vulnerable to USSE disturbance and simultaneous stress from aridification and other growing land-use pressures. In this review, a framework is presented for predicting the effects of USSE development on plants and wildlife by linking disturbance types associated with USSE construction and operation to the traits and response strategies of species and guilds. Case studies from representative Desert Southwest species and guilds of conservation concern are used to: review known effects of USSE, predict unknown effects with the trait-based framework, and discuss mitigation strategies. This framework predicts that species with trait plasticity and broad ecological niches will be capable of exploiting USSE development, while species with specific habitat requirements and narrow niches will be more vulnerable. Opportunities for mitigation during development and operation that may lessen these effects are identified. This work is intended to inform USSE management decision-making and long-term planning, as well as encourage new research to test predicted effects and responses.</div></div></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rser.2024.114823","usgsCitation":"Karban, C.C., Lovich, J.E., Grodsky, S.M., and Munson, S.M., 2024, Predicting the effects of solar energy development on plants and wildlife in the Desert Southwest, United States: Renewable & Sustainable Energy Reviews (RSER), v. 205, 114823, 15 p., https://doi.org/10.1016/j.rser.2024.114823.","productDescription":"114823, 15 p.","ipdsId":"IP-157927","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":462655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"205","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karban, Claire C 0000-0002-6157-031X","orcid":"https://orcid.org/0000-0002-6157-031X","contributorId":344987,"corporation":false,"usgs":true,"family":"Karban","given":"Claire","email":"","middleInitial":"C","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":915229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":915230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":915231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":915232,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266827,"text":"70266827 - 2024 - Abiotic and demographic drivers of flea parasitism on deer mice in a recovering mixed-conifer forest a decade postfire","interactions":[],"lastModifiedDate":"2025-05-14T13:20:58.690457","indexId":"70266827","displayToPublicDate":"2024-08-19T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Abiotic and demographic drivers of flea parasitism on deer mice in a recovering mixed-conifer forest a decade postfire","docAbstract":"<p><span>With the intensity and frequency of wildfires increasing rapidly, the need to study the ecological effects of these wildfires is also growing. An understudied aspect of fire ecology is the effect fires have on parasite–host interactions, including ectoparasites that might be pathogen vectors. Although some studies have examined the impacts of fire on ticks, studies on other ectoparasites, including pathogen vectors, are rare. To help address this knowledge gap, we examined the abiotic and biotic factors that predict the likelihood and extent of parasitism of deer mice (</span><i>Peromyscus maniculatus</i><span>) by fleas within a landscape of unburned and recovering burned (&gt;9 yr postfire) mixed conifer forests. We sampled 227 individual deer mice across 27 sites within the Jemez Mountains of northern New Mexico in 2022 and quantified measures of parasitism by fleas (primarily&nbsp;</span><i>Aetheca wagneri</i><span>). These sites were distributed in both unburned areas (n = 15) and recovering burned areas (n = 12), with the latter derived from 2 large fires, the Las Conchas fire (2011) and the Thompson Ridge fire (2013). Using these data, we tested for differences in prevalence, mean abundance, and mean intensity of fleas on deer mice, focusing on the predictive importance of host sex and fire history. We also created generalized linear mixed-effects models to investigate the best host and environmental predictors of parasitism by fleas. Approximately a decade postfire, we found minimal evidence to suggest that fire history influenced either the presence or intensity of fleas on deer mice. Rather, at the current forest-regeneration stage, the extent of parasitism by fleas was best predicted by measures of host sex, body condition, and the trapline's ability to accumulate water, as measured through topography. As host body condition increased, the probability of males being parasitized increased, whereas the opposite pattern was seen for females. Male mice also had significantly greater flea loads. Among potential abiotic predictors, the topographic wetness index or compound topographic index (a proxy for soil moisture) was positively related to flea intensity, suggesting larger flea populations in burrows with higher relative humidity. In summary, although fire may potentially have short-term impacts on the likelihood and extent of host parasitism by fleas, in this recovering study system, host characteristics and topographic wetness index are the primary predictors of parasitism by fleas.</span></p>","language":"English","publisher":"BioOne","doi":"10.1645/23-45","usgsCitation":"Padilla, C., Martin, J., Cain, J.W., and Gompper, M., 2024, Abiotic and demographic drivers of flea parasitism on deer mice in a recovering mixed-conifer forest a decade postfire: Journal of Parasitology, v. 110, no. 4, p. 375-385, https://doi.org/10.1645/23-45.","productDescription":"11 p.","startPage":"375","endPage":"385","ipdsId":"IP-153592","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485844,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Ranger District of Santa Fe National Forest, Valles Caldera National Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.30445858820687,\n              36.653454747968524\n            ],\n            [\n              -107.30445858820687,\n              35.654968715553636\n            ],\n            [\n              -105.9993414935517,\n              35.654968715553636\n            ],\n            [\n              -105.9993414935517,\n              36.653454747968524\n            ],\n            [\n              -107.30445858820687,\n              36.653454747968524\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"110","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Padilla, Colton J.","contributorId":353982,"corporation":false,"usgs":false,"family":"Padilla","given":"Colton J.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":936849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Jessica T.","contributorId":355088,"corporation":false,"usgs":false,"family":"Martin","given":"Jessica T.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":936850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gompper, Matthew E.","contributorId":353984,"corporation":false,"usgs":false,"family":"Gompper","given":"Matthew E.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":936852,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70259694,"text":"70259694 - 2024 - The relationship between maturation size and maximum tree size from tropical to boreal climates","interactions":[],"lastModifiedDate":"2024-10-21T10:58:46.549919","indexId":"70259694","displayToPublicDate":"2024-08-18T05:55:23","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"The relationship between maturation size and maximum tree size from tropical to boreal climates","docAbstract":"The fundamental trade-off between current and future reproduction has long been considered to result in a tendency for species that can grow large to begin reproduction at a proportionately larger size. Due to the prolonged time required to reach maturity, estimates of tree maturation size remain unavailable and we lack a global view on the generality and the shape of this trade-off. Using seed production from five continents, we estimate tree maturation sizes for 486 tree pecies spanning tropical to boreal climates. Results show that a species’ maturation size increases with maximum size, but in a non-proportional way: the largest species begin reproduction at smaller sizes than would be expected if maturation size were simply proportional to maximum size. Furthermore, the decrease in relative maturation size is steepest in cold climates. These findings\non maturation size drivers are key to accurately represent forests’ responses to disturbance and climate change.","language":"English","publisher":"Wiley","doi":"10.1111/ele.14500","usgsCitation":"Journe, V., Bogdziewicz, M., Courbaud, B., Kunstler, G., Qiu, T., Acuña, M., Ascoli, D., Bergeron, Y., Berveiller, D., Boivin, T., Bonal, R., Caignard, T., Cailleret, M., Calama, R., Camarero, J., Chang-Yang, C., Chave, J., Chianucci, F., Curt, T., Cutini, A., Das, A., Daskalakou, E., Davi, H., Delpierre, N., Delzon, S., Dietze, M., Donoso Calderon, S., Dormont, L., Espelta, J.M., Farfan-Rios, W., Fenner, M., Franklin, J.F., Gehring, C.A., Gilbert, G.S., Gratzer, G., Greenberg, C.H., Guignabert, A., Guo, Q., Hacket-Pain, A., Hampe, A., Han, Q., Hanley, M.E., Hille Ris Lambers, J., Holik, J., Hoshizaki, K., Ibanez, I., Johnstone, J.F., Knops, J., Kobe, R.K., Kurokawa, H., Lageard, J., LaMontagne, J., Ledwon, M., Lefevre, F., Leininger, T., Limousin, J., Lutz, J.A., Macias, D., Marell, A., McIntire, E.J., Moran, E.V., Motta, R., Myers, J.A., Nagel, T.A., Naoe, S., Noguchi, M., Norghauer, J., Oguro, M., Ourcival, J., Parmenter, R., Pearse, I., Perez-Ramos, I.M., Piechnik, L., Podgorski, T., Poulsen, J., Redmond, M.D., Reid, C., Samonil, P., Scher, C., Schlesinger, W.H., Seget, B., Sharma, S., Shibata, M., Silman, M., Steele, M.A., Stephenson, N.L., Straub, J.N., Sutton, S., Swenson, J., Swift, M., Thomas, P., Uriarte, M., Vacchiano, G., Whipple, A., Whitham, T.G., Wright, S.J., Zhu, K., Zimmerman, J.K., Zywiec, M., and Clark, J.S., 2024, The relationship between maturation size and maximum tree size from tropical to boreal climates: Ecology Letters, v. 27, https://doi.org/10.1111/ele.14500.","productDescription":"e14500, 13 p.","startPage":"e14500","ipdsId":"IP-159431","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":466964,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04718869/document","text":"External Repository"},{"id":463049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","noUsgsAuthors":false,"publicationDate":"2024-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Journe, Valentin","contributorId":303071,"corporation":false,"usgs":false,"family":"Journe","given":"Valentin","email":"","affiliations":[{"id":65645,"text":"Universite Grenoble Alpes, France","active":true,"usgs":false}],"preferred":false,"id":916254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bogdziewicz, Michał","contributorId":345316,"corporation":false,"usgs":false,"family":"Bogdziewicz","given":"Michał","affiliations":[{"id":82542,"text":"Adam Mickiewicz University in Poznan, Poland","active":true,"usgs":false}],"preferred":false,"id":916255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Courbaud, Benoit","contributorId":256858,"corporation":false,"usgs":false,"family":"Courbaud","given":"Benoit","email":"","affiliations":[{"id":39773,"text":"Univ. Grenoble Alpes, France","active":true,"usgs":false}],"preferred":false,"id":916256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kunstler, Georges","contributorId":198539,"corporation":false,"usgs":false,"family":"Kunstler","given":"Georges","email":"","affiliations":[],"preferred":false,"id":916352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Qiu, Tong","contributorId":268817,"corporation":false,"usgs":false,"family":"Qiu","given":"Tong","affiliations":[{"id":55678,"text":"Duke U","active":true,"usgs":false}],"preferred":false,"id":916257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Acuña, Marie-Claire Aravena","contributorId":303057,"corporation":false,"usgs":false,"family":"Acuña","given":"Marie-Claire Aravena","affiliations":[{"id":65630,"text":"Laboratorio de Recursos Agroforestales, Centro Austral de Investigaciones Científicas, Argentina.","active":true,"usgs":false}],"preferred":false,"id":916258,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ascoli, Davide","contributorId":224289,"corporation":false,"usgs":false,"family":"Ascoli","given":"Davide","email":"","affiliations":[{"id":40848,"text":"University of Torino","active":true,"usgs":false}],"preferred":false,"id":916259,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bergeron, Yves","contributorId":256848,"corporation":false,"usgs":false,"family":"Bergeron","given":"Yves","email":"","affiliations":[{"id":40150,"text":"Adam Mickiewicz University, Poland","active":true,"usgs":false}],"preferred":false,"id":916260,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Berveiller, Daniel","contributorId":303321,"corporation":false,"usgs":false,"family":"Berveiller","given":"Daniel","email":"","affiliations":[{"id":65756,"text":"Universite Paris-Saclay, France","active":true,"usgs":false}],"preferred":false,"id":916261,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boivin, Thomas","contributorId":268820,"corporation":false,"usgs":false,"family":"Boivin","given":"Thomas","email":"","affiliations":[{"id":55680,"text":"INRAE, France","active":true,"usgs":false}],"preferred":false,"id":916262,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bonal, Raul","contributorId":268821,"corporation":false,"usgs":false,"family":"Bonal","given":"Raul","email":"","affiliations":[{"id":55681,"text":"University of Madrid","active":true,"usgs":false}],"preferred":false,"id":916263,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Caignard, Thomas","contributorId":268822,"corporation":false,"usgs":false,"family":"Caignard","given":"Thomas","email":"","affiliations":[{"id":55680,"text":"INRAE, France","active":true,"usgs":false}],"preferred":false,"id":916264,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cailleret, Maxime 0000-0001-6561-1943","orcid":"https://orcid.org/0000-0001-6561-1943","contributorId":181952,"corporation":false,"usgs":false,"family":"Cailleret","given":"Maxime","email":"","affiliations":[],"preferred":false,"id":916265,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Calama, Rafael","contributorId":268823,"corporation":false,"usgs":false,"family":"Calama","given":"Rafael","email":"","affiliations":[{"id":55682,"text":"INIA-CIFOR, Spain","active":true,"usgs":false}],"preferred":false,"id":916266,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Camarero, J. 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Arizona U.","active":true,"usgs":false}],"preferred":false,"id":916346,"contributorType":{"id":1,"text":"Authors"},"rank":94},{"text":"Whitham, Thomas G.","contributorId":174327,"corporation":false,"usgs":false,"family":"Whitham","given":"Thomas","email":"","middleInitial":"G.","affiliations":[{"id":27416,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Nothern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":916347,"contributorType":{"id":1,"text":"Authors"},"rank":95},{"text":"Wright, S. Joseph","contributorId":303088,"corporation":false,"usgs":false,"family":"Wright","given":"S.","email":"","middleInitial":"Joseph","affiliations":[{"id":65656,"text":"Smithsonian Tropical Research Institute, Republic of Panama","active":true,"usgs":false}],"preferred":false,"id":916348,"contributorType":{"id":1,"text":"Authors"},"rank":96},{"text":"Zhu, Kai","contributorId":256900,"corporation":false,"usgs":false,"family":"Zhu","given":"Kai","email":"","affiliations":[{"id":51894,"text":"University California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":916349,"contributorType":{"id":1,"text":"Authors"},"rank":97},{"text":"Zimmerman, Jess K.","contributorId":196419,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jess","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":916350,"contributorType":{"id":1,"text":"Authors"},"rank":98},{"text":"Zywiec, Magdalena","contributorId":268853,"corporation":false,"usgs":false,"family":"Zywiec","given":"Magdalena","affiliations":[{"id":55688,"text":"Polish Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":916351,"contributorType":{"id":1,"text":"Authors"},"rank":99},{"text":"Clark, James S.","contributorId":248348,"corporation":false,"usgs":false,"family":"Clark","given":"James","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":916353,"contributorType":{"id":1,"text":"Authors"},"rank":100}]}}
,{"id":70261644,"text":"70261644 - 2024 - Testing tree-ring cellulose δ18O with water isotopes for Holocene lake δ18O  interpretations in the central Rocky Mountains USA","interactions":[],"lastModifiedDate":"2024-12-18T14:28:08.044274","indexId":"70261644","displayToPublicDate":"2024-08-17T15:55:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Testing tree-ring cellulose δ<sup>18</sup>O with water isotopes for Holocene lake δ<sup>18</sup>O  interpretations in the central Rocky Mountains USA","title":"Testing tree-ring cellulose δ18O with water isotopes for Holocene lake δ18O  interpretations in the central Rocky Mountains USA","docAbstract":"<p>Stable isotopes of water preserved in geologic archives, primarily as oxygen (δ18O), have proven critical for documenting Earth’s climatic and hydrologic <br>systems past and present. However, timescale differences of water isotope inputs to proxy systems and the signal embedded in long paleorecords often <br>confound translation to observed hydroclimatic metrics. Here, a unique 20-year dataset of meteorology, hydrology, and the isotopic composition of <br>weekly meteoric and surface water samples (δ18O, δ2 H) are combined with paleoclimate δ18O data from tree-ring cellulose and lake carbonate to better <br>understand proxy signals of Upper Colorado river basin drought. Annual tree-ring cellulose δ18O from Picea engelmannii growing within a glacier-fed creek <br>and a spring discharge area were used to derive annual source water δ18O using a cellulose source-water isotope model. Comparisons with the monitoring <br>record indicates that tree-ring cellulose δ18O tracks variations in wet and dry hydroclimatic extremes. Source water isotopes are shown to reflect the <br>hydroclimate of the current year and some number of previous years as an effective moisture-discharge proxy rather than a precipitation isotope proxy. <br>Results contextualize Holocene lake carbonate δ18O data. The contemporary-to-paleo comparison identifies changes in seasonal precipitation extremes <br>during recent millennia and several earlier arid and monsoon-dominated Holocene periods that exceed the arid maximum of the calibration period.</p>","language":"English","publisher":"Sage","doi":"10.1177/09596836241286007","usgsCitation":"Anderson, L., Mast, M.A., Brice, R.L., and Berkelhammer, M., 2024, Testing tree-ring cellulose δ18O with water isotopes for Holocene lake δ18O  interpretations in the central Rocky Mountains USA: The Holocene, https://doi.org/10.1177/09596836241286007.","ipdsId":"IP-160553","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":465237,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park, White River Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.90141622400164,\n              40.465855799202444\n            ],\n            [\n              -105.90141622400164,\n              40.05046795053079\n            ],\n            [\n              -105.50554954483171,\n              40.05046795053079\n            ],\n            [\n              -105.50554954483171,\n              40.465855799202444\n            ],\n            [\n              -105.90141622400164,\n              40.465855799202444\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.16037083325054,\n              40.03698920018226\n            ],\n            [\n              -108.16037083325054,\n              39.5506886838231\n            ],\n            [\n              -107.07536861741727,\n              39.5506886838231\n            ],\n            [\n              -107.07536861741727,\n              40.03698920018226\n            ],\n            [\n              -108.16037083325054,\n              40.03698920018226\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2024-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Lesleigh 0000-0002-5264-089X","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":264358,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":921284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":211054,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brice, Rebecca Lynn 0000-0003-0023-5988","orcid":"https://orcid.org/0000-0003-0023-5988","contributorId":247868,"corporation":false,"usgs":true,"family":"Brice","given":"Rebecca","email":"","middleInitial":"Lynn","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":921286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berkelhammer, Max","contributorId":347301,"corporation":false,"usgs":false,"family":"Berkelhammer","given":"Max","email":"","affiliations":[{"id":18133,"text":"University of Illinois Chicago","active":true,"usgs":false}],"preferred":false,"id":921287,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257595,"text":"70257595 - 2024 - In situ allelopathic expression by the invasive amphibious plant, Ludwigia hexapetala (water primrose) across habitat types, seasons, and salinities","interactions":[],"lastModifiedDate":"2024-09-23T16:21:33.413202","indexId":"70257595","displayToPublicDate":"2024-08-17T09:46:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"In situ allelopathic expression by the invasive amphibious plant, <i>Ludwigia hexapetala</i> (water primrose) across habitat types, seasons, and salinities","title":"In situ allelopathic expression by the invasive amphibious plant, Ludwigia hexapetala (water primrose) across habitat types, seasons, and salinities","docAbstract":"<p><span>Broad infestations of invasive, non-native vegetation have transformed wetlands around the world.&nbsp;</span><i>Ludwigia hexapetala</i><span>&nbsp;is a widespread, amphibious invasive plant with a creeping growth habit in open water and an erect growth habit in terrestrial habitats. In the upper San Francisco Estuary of California,&nbsp;</span><i>L. hexapetala</i><span>&nbsp;is increasingly terrestrializing into marshes and this expansion may be facilitated by allelopathy. We conducted the first field-based study on&nbsp;</span><i>L. hexapetala</i><span>&nbsp;allelopathy to determine whether (1) three allelochemicals known to be exuded by&nbsp;</span><i>L. hexapetala</i><span>&nbsp;are expressed in situ, (2) the allelochemicals are detectable in leaves, soil, and water, and (3) allelopathic expression varies by season, salinity, and growth habit (open water “patch” vs. terrestrial marsh “interface” locations). Water, soil, and&nbsp;</span><i>L. hexapetala</i><span>&nbsp;leaves were collected in two freshwater sites and two oligohaline sites in the upper San Francisco Estuary in summer 2021, fall 2021, and spring 2022. Myricitrin and quercitrin, known allelochemicals, and salipurposid, a newly identified polyphenol, were detected in water, soil, and leaves. There were significant differences in allelochemical concentrations under fresh versus oligohaline conditions in water and soil, but not leaves. All three allelochemicals generally had higher concentrations in patch versus interface locations, suggesting that&nbsp;</span><i>L. hexapetala</i><span>&nbsp;allelopathy plays a greater competitive role in open water than terrestrial habitats. Leaf concentrations of each allelochemical varied seasonally; however, both myricitrin and salipurposid had heightened concentrations in spring. These results suggest that herbicide application in early spring may be most effective in controlling&nbsp;</span><i>L. hexapetala</i><span>&nbsp;terrestrialization from open water to marshes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-024-03412-4","usgsCitation":"Drexler, J.Z., Gross, M., Hladik, M.L., Morrison, B., and Hestir, E., 2024, In situ allelopathic expression by the invasive amphibious plant, Ludwigia hexapetala (water primrose) across habitat types, seasons, and salinities: Biological Invasions, v. 26, p. 3811-3828, https://doi.org/10.1007/s10530-024-03412-4.","productDescription":"18 p.","startPage":"3811","endPage":"3828","ipdsId":"IP-160888","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":432937,"rank":1,"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              -121.89839069902723,\n              38.06121335326662\n            ],\n            [\n              -120.11889157934385,\n              36.328833706314626\n            ],\n            [\n              -119.45382625178553,\n              37.03516328439403\n            ],\n            [\n              -121.50294770892147,\n              40.68679922497094\n            ],\n            [\n              -122.32978568372388,\n              40.63907726889312\n            ],\n            [\n              -122.2668740986846,\n              39.26816562329512\n            ],\n            [\n              -121.89839069902723,\n              38.06121335326662\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2024-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Michael 0000-0002-2433-166X","orcid":"https://orcid.org/0000-0002-2433-166X","contributorId":343411,"corporation":false,"usgs":false,"family":"Gross","given":"Michael","affiliations":[{"id":81579,"text":"California Department of Food and Agriculture","active":true,"usgs":false}],"preferred":false,"id":910994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"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":910995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrison, Bailey 0000-0001-5824-8605","orcid":"https://orcid.org/0000-0001-5824-8605","contributorId":343414,"corporation":false,"usgs":false,"family":"Morrison","given":"Bailey","email":"","affiliations":[{"id":54780,"text":"UC Merced","active":true,"usgs":false}],"preferred":false,"id":910996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hestir, Erin","contributorId":343417,"corporation":false,"usgs":false,"family":"Hestir","given":"Erin","affiliations":[{"id":54780,"text":"UC Merced","active":true,"usgs":false}],"preferred":false,"id":910997,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70258722,"text":"70258722 - 2024 - Global assessment of aquatic Isoëtes species ecology","interactions":[],"lastModifiedDate":"2024-09-25T12:06:12.189538","indexId":"70258722","displayToPublicDate":"2024-08-17T07:00:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Global assessment of aquatic Isoëtes species ecology","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li><i>Isoëtes</i><span>&nbsp;</span>are iconic but understudied wetland plants, despite having suffered severe losses globally mainly because of alterations in their habitats. We therefore provide the first global ecological assessment of aquatic<span>&nbsp;</span><i>Isoëtes</i><span>&nbsp;</span>to identify their environmental requirements and to evaluate if taxonomically related species differ in their ecology.</li><li>The assessment resulted in an extensive new database on aquatic<span>&nbsp;</span><i>Isoëtes</i>, ecological niche analyses, and descriptive species accounts. We compiled a global database that includes all known environmental data collected from 1935 to 2023 regarding aquatic<span>&nbsp;</span><i>Isoëtes.</i><span>&nbsp;</span>We then evaluated the environmental drivers of 16 species using 2,179 global records. Additionally, we used hypervolume analysis to quantify the ecological niches of the two species with the greatest number of records, finding significant differences and evidence that<span>&nbsp;</span><i>Isoëtes echinospora</i><span>&nbsp;</span>occupies a wider ecological niche than<span>&nbsp;</span><i>Isoëtes lacustris</i>.</li><li>Fifty-nine species (30% of the<span>&nbsp;</span><i>c.</i><span>&nbsp;</span>200<span>&nbsp;</span><i>Isoëtes</i><span>&nbsp;</span>species known today) were categorised as aquatic and were mainly reported in the Americas and northern Europe. About 38% of the aquatic species are threatened with extinction or are endemic to a small region, according to the International Union for Conservation of Nature's Red List in 2023. Many species were determined to be sensitive to certain water physical and chemical factors, generally preferring oligotrophic conditions such as low total phosphorus, moderate total nitrogen, moderate to low pH, and low conductivity.</li><li>This analysis includes ecological data in the assessment of rare/threatened aquatic plants globally. This new database and the ecological analyses completed defined the ecological requirements of several species and identified knowledge gaps, which can aid management actions and future research.</li><li>This paper highlights ecological significance and environmental sensitivities of aquatic<span>&nbsp;</span><i>Isoëtes</i>. The current level of knowledge is inadequate for a large proportion of known taxa. We affirm the extreme need to support global, collaborative initiatives on which to build future conservation strategies.</li></ol></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.14316","usgsCitation":"Azzella, M.M., Dalla Vecchia, A., Abeli, T., Alahuhta, J., Amoroso, V.B., Ballesteros, E., Bertrin, V., Brunton, D., Bobrov, A.A., Caldeira, C., Ceschin, S., Chemeris, E.V., Ctvrtlikova, M., de Winton, M., Gacia, E., Grishutkin, O.G., Hofstra, D., Ivanova, D., Ivanova, M.O., Konotop, N.K., Larson, D.M., Magrini, S., Mjelde, M., Mochalova, O.A., Oliveira, G., Pedersen, O., de S. Pereira, J.B., Ribaudo, C., Inmaculada Romero Bujan, M., Troia, A., Vinogradova, Y.S., Volkova, P.A., Zandonadi, D., Zueva, N.V., and Bolpagni, R., 2024, Global assessment of aquatic Isoëtes species ecology: Freshwater Biology, v. 69, no. 10, p. 1420-1437, https://doi.org/10.1111/fwb.14316.","productDescription":"18 p.","startPage":"1420","endPage":"1437","ipdsId":"IP-164359","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":466965,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.14316","text":"Publisher Index Page"},{"id":462240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Azzella, Mattia M.","contributorId":344470,"corporation":false,"usgs":false,"family":"Azzella","given":"Mattia","email":"","middleInitial":"M.","affiliations":[{"id":82356,"text":"University of Roma, Department PDTA","active":true,"usgs":false}],"preferred":false,"id":913859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalla Vecchia, Alice","contributorId":344471,"corporation":false,"usgs":false,"family":"Dalla Vecchia","given":"Alice","email":"","affiliations":[{"id":82358,"text":"University of Parma, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":913860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abeli, Thomas","contributorId":344472,"corporation":false,"usgs":false,"family":"Abeli","given":"Thomas","email":"","affiliations":[{"id":82359,"text":"University of Roma Tre, Department of Science","active":true,"usgs":false}],"preferred":false,"id":913861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alahuhta, Janne","contributorId":344473,"corporation":false,"usgs":false,"family":"Alahuhta","given":"Janne","email":"","affiliations":[{"id":82360,"text":"University of Finland, Geography Research Unit","active":true,"usgs":false}],"preferred":false,"id":913862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amoroso, Victor B.","contributorId":344474,"corporation":false,"usgs":false,"family":"Amoroso","given":"Victor","email":"","middleInitial":"B.","affiliations":[{"id":82362,"text":"Central Mindanao University, Center for Biodiversity Research and Extension in Mindanao","active":true,"usgs":false}],"preferred":false,"id":913863,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ballesteros, Enric","contributorId":344475,"corporation":false,"usgs":false,"family":"Ballesteros","given":"Enric","affiliations":[{"id":82363,"text":"Centre d’Estudis Avançats de Blanes, Blanes, Spain","active":true,"usgs":false}],"preferred":false,"id":913864,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bertrin, Vincent","contributorId":344476,"corporation":false,"usgs":false,"family":"Bertrin","given":"Vincent","email":"","affiliations":[{"id":82364,"text":"7 Irstea, UR EABX, Centre de Bordeaux, Cestas, France","active":true,"usgs":false}],"preferred":false,"id":913865,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brunton, Daniel","contributorId":344477,"corporation":false,"usgs":false,"family":"Brunton","given":"Daniel","email":"","affiliations":[{"id":82365,"text":"Canadian Museum of Nature, Centre for Species Discovery and Botany Section, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":913866,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bobrov, Alexander 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,{"id":70257287,"text":"ofr20241022 - 2024 - Report of the River Master of the Delaware River for the period December 1, 2016–November 30, 2017","interactions":[],"lastModifiedDate":"2026-01-29T19:40:41.179313","indexId":"ofr20241022","displayToPublicDate":"2024-08-16T14:20:00","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":"2024-1022","displayTitle":"Report of the River Master of the Delaware River for the Period December 1, 2016–November 30, 2017","title":"Report of the River Master of the Delaware River for the period December 1, 2016–November 30, 2017","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 certain reservoirs owned by New York City 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 64th annual report of the River Master of the Delaware River. The report covers the 2017 River Master report year, from December 1, 2016, to November 30, 2017.</p><p>During the report year, precipitation in the upper Delaware River Basin was 47.85 inches or 108 percent of the long-term average. On December 1, 2016, combined useable storage in the New York City reservoirs in the upper Delaware River Basin was 110.115 billion gallons or 40.7 percent of combined storage capacity, the lowest combined storage of the 2017 report year. The reservoirs were at about 100 percent of useable capacity on May 31, 2017. Combined storage remained above 80 percent of combined capacity until September 2017.</p><p>A lower basin drought watch issued by the Delaware River Basin Commission in 2016 extended from the beginning of this report year to January 18, 2017. The drought watch was ended on January 18, 2017, due to increased precipitation in December 2016. River Master operations during the year were conducted as stipulated by the Decree and the Flexible Flow Management Programs.</p><p>Diversions from the Delaware River Basin by New York City and 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 (N.J.), on 52 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 made during the report year. Excess Release Quantity and Interim Excess Release Quantity Bank releases were also made during the report year.</p><p>The water quality in the Delaware River estuary between the streamgages at Trenton, N.J., and Reedy Island Jetty, Delaware, was monitored at various locations. The data on water temperature, specific conductance, dissolved oxygen, and pH were collected continuously by electronic instruments at four sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241022","isbn":"978-1-4113-4580-5","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, 2016–November 30, 2017: U.S. Geological Survey Open-File Report 2024–1022, 109 p., https://doi.org/10.3133/ofr20241022.","productDescription":"xi, 109 p.","numberOfPages":"109","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-153026","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":499249,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117174.htm","linkFileType":{"id":5,"text":"html"}},{"id":432667,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1022/images/"},{"id":432666,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1022/ofr20241022.XML","description":"OFR 2024-1022 XML"},{"id":432665,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241022/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1022 HTML"},{"id":432664,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1022/ofr20241022.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1022 PDF"},{"id":432663,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1022/coverthb.jpg"}],"country":"United States","state":"New Jersey, New York, Pennsylvania","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76,\n              43\n            ],\n            [\n              -76,\n              39.31354002356349\n            ],\n            [\n              -74,\n              39.31354002356349\n            ],\n            [\n              -74,\n              43\n            ],\n            [\n              -76,\n              43\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</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../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>Conformance of Operations Under the Amended Decree of the Supreme Court of the United States Entered June 7, 1954</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. Four-Party Letter for Interim Operations</li><li>Appendix 2. Agreement For a Flexible Flow Management Program</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-08-16","noUsgsAuthors":false,"publicationDate":"2024-08-16","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":909854,"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":909855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiFrenna, Vincent J. 0000-0002-1336-7288","orcid":"https://orcid.org/0000-0002-1336-7288","contributorId":298307,"corporation":false,"usgs":true,"family":"DiFrenna","given":"Vincent","email":"","middleInitial":"J.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":909856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norris, J. Michael 0000-0002-7480-0161","orcid":"https://orcid.org/0000-0002-7480-0161","contributorId":335919,"corporation":false,"usgs":false,"family":"Norris","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":909857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mason,, Robert R. Jr. 0000-0002-3998-3468","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":335041,"corporation":false,"usgs":false,"family":"Mason,","given":"Robert R.","suffix":"Jr.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":909858,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263400,"text":"70263400 - 2024 - Status and performance of the ShakeAlert® earthquake early warning system: 2019-2023","interactions":[],"lastModifiedDate":"2025-02-10T16:47:16.140108","indexId":"70263400","displayToPublicDate":"2024-08-16T10:42:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Status and performance of the ShakeAlert® earthquake early warning system: 2019-2023","docAbstract":"<p><span>The U.S. Geological Survey (USGS)‐operated ShakeAlert® system is the United States West Coast earthquake early warning system (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf41\">Given<span>&nbsp;</span><i>et&nbsp;al.</i>, 2018</a><span>). In this study we detail ShakeAlert’s performance during some of the largest events seen by the system thus far. Statewide public alerting using ShakeAlert messages was authorized in California in October 2019. Over the next few years, public alerts were expanded into Oregon and then into Washington (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf79\">U.S. Geological Survey, 2024</a><span>). ShakeAlert source results are routinely compared to the USGS Comprehensive Catalog (ComCat;&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf43\">Guy<span>&nbsp;</span><i>et&nbsp;al.</i>, 2015</a><span>;&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf80\">U.S. Geological Survey, Earthquake Hazards Program, 2017</a><span>), which contains the earthquake location and magnitude determined using complete waveform data.&nbsp;</span><strong>M</strong><span>&nbsp;4.5 and larger is the threshold used for public alerting and was deliberately set below the level where damage is likely to compensate for cases where the system underestimates the magnitude. Between 17 October 2019 and 1 September 2023, the ShakeAlert system created 95 events with maximum magnitude estimates of&nbsp;</span><strong>M</strong><span>&nbsp;≥4.5, the public alerting threshold. 94 of the 95 events were due to real earthquakes. Seven were categorized “false” per ShakeAlert’s internal definition that there was no matching catalog event within 100&nbsp;km and 30&nbsp;s of origin time; however, all but one of these were real earthquakes that were poorly located, primarily because they were at the edges of the seismic network. Three detected events were labeled “missed” because they were very poorly located (&gt;100&nbsp;km location error). In addition, the system did not produce solutions for four ComCat events&nbsp;</span><strong>M</strong><span>&nbsp;≥4.5 (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf80\">U.S. Geological Survey, Earthquake Hazards Program, 2017</a><span>), which were all at the edge of the alerting and network boundaries. The ShakeAlert system has accurately detected the majority of earthquakes that have occurred within the operational region since completing the public rollout, and alerts from the system have been delivered to millions of cell phone users throughout the West Coast.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230259","usgsCitation":"Lux, A., Smith, D., Böse, M., McGuire, J., Saunders, J., Huynh, M., Stubailo, I., Andrews, J.R., Lotto, G., Crowell, B., Crane, S., Allen, R.M., Given, D.D., Hartog, R., Heaton, T., Husker, A., Marty, J., O'Driscoll, L., Tobin, H.J., McBride, S.K., and Toomey, D., 2024, Status and performance of the ShakeAlert® earthquake early warning system: 2019-2023: Bulletin of the Seismological Society of America, v. 114, no. 6, p. 3041-3062, https://doi.org/10.1785/0120230259.","productDescription":"22 p.","startPage":"3041","endPage":"3062","ipdsId":"IP-158989","costCenters":[{"id":237,"text":"Earthquake Science 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Technology","active":true,"usgs":false}],"preferred":false,"id":926835,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huynh, Minh 0000-0002-5856-121X","orcid":"https://orcid.org/0000-0002-5856-121X","contributorId":350725,"corporation":false,"usgs":true,"family":"Huynh","given":"Minh","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926836,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stubailo, I.","contributorId":350737,"corporation":false,"usgs":false,"family":"Stubailo","given":"I.","affiliations":[{"id":83820,"text":"California Institute of Technology (Caltech) Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":926837,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Andrews, Jennifer R 0000-0002-5679-5565","orcid":"https://orcid.org/0000-0002-5679-5565","contributorId":263435,"corporation":false,"usgs":false,"family":"Andrews","given":"Jennifer","email":"","middleInitial":"R","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":926838,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lotto, G.","contributorId":350738,"corporation":false,"usgs":false,"family":"Lotto","given":"G.","affiliations":[{"id":83821,"text":"University of Washington (UW), Seattle","active":true,"usgs":false}],"preferred":false,"id":926839,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crowell, B.","contributorId":350722,"corporation":false,"usgs":false,"family":"Crowell","given":"B.","affiliations":[{"id":28238,"text":"Univ of Washington","active":true,"usgs":false}],"preferred":false,"id":926840,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Crane, S.","contributorId":350739,"corporation":false,"usgs":false,"family":"Crane","given":"S.","affiliations":[{"id":83822,"text":"Natural Resources Canada (NRCAN), Ottawa","active":true,"usgs":false}],"preferred":false,"id":926841,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Allen, R. M.","contributorId":36170,"corporation":false,"usgs":false,"family":"Allen","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":926842,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Given, Douglas D. 0000-0002-3277-5121 doug@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-5121","contributorId":201870,"corporation":false,"usgs":true,"family":"Given","given":"Douglas","email":"doug@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926843,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hartog, R.","contributorId":201873,"corporation":false,"usgs":false,"family":"Hartog","given":"R.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":926844,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Heaton, T.","contributorId":222141,"corporation":false,"usgs":false,"family":"Heaton","given":"T.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":926845,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Husker, A.","contributorId":350740,"corporation":false,"usgs":false,"family":"Husker","given":"A.","affiliations":[{"id":83820,"text":"California Institute of Technology (Caltech) Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":926846,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Marty, J.","contributorId":350741,"corporation":false,"usgs":false,"family":"Marty","given":"J.","affiliations":[{"id":83823,"text":"UC Berkeley Seismological Laboratory (UCB)","active":true,"usgs":false}],"preferred":false,"id":926847,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"O'Driscoll, Leland","contributorId":350742,"corporation":false,"usgs":false,"family":"O'Driscoll","given":"Leland","affiliations":[{"id":83824,"text":"University of Oregon (UO), Eugene","active":true,"usgs":false}],"preferred":false,"id":926848,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Tobin, Harold J.","contributorId":350743,"corporation":false,"usgs":false,"family":"Tobin","given":"Harold","middleInitial":"J.","affiliations":[{"id":83821,"text":"University of Washington (UW), Seattle","active":true,"usgs":false}],"preferred":false,"id":926849,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"McBride, Sara K. 0000-0002-8062-6542 skmcbride@usgs.gov","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":224627,"corporation":false,"usgs":true,"family":"McBride","given":"Sara","email":"skmcbride@usgs.gov","middleInitial":"K.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":926944,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Toomey, D.","contributorId":350744,"corporation":false,"usgs":false,"family":"Toomey","given":"D.","affiliations":[{"id":83824,"text":"University of Oregon (UO), Eugene","active":true,"usgs":false}],"preferred":false,"id":926850,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70257569,"text":"70257569 - 2024 - Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington","interactions":[{"subject":{"id":70257569,"text":"70257569 - 2024 - Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington","indexId":"70257569","publicationYear":"2024","noYear":false,"title":"Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington"},"predicate":"SUPERSEDED_BY","object":{"id":70265982,"text":"sir20255029 - 2025 - Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington","indexId":"sir20255029","publicationYear":"2025","noYear":false,"title":"Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington"},"id":1}],"supersededBy":{"id":70265982,"text":"sir20255029 - 2025 - Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington","indexId":"sir20255029","publicationYear":"2025","noYear":false,"title":"Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington"},"lastModifiedDate":"2025-04-28T15:40:31.008668","indexId":"70257569","displayToPublicDate":"2024-08-16T10:22:40","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington","docAbstract":"<p><span>Water temperature is a primary control on the occurrence and distribution of cold-water species. Rivers draining Mount Rainier in western Washington, including the White River along its northern flank, support several cold-water fish populations, but the spatial distribution of water temperatures, particularly during late-summer base flow between August and September, and the climatic, hydrologic, and physical processes regulating this temperature distribution are not well understood. Spatial stream network (SSN) models, which are generalized linear models that incorporate streamwise spatial autocovariance structures, were fit to mean and seven-day average daily maximum water temperature for August and September for the White River basin located with Mount Rainier National Park. The SSN models were calibrated using water temperature measurements collected between 2010 and 2020. Significant covariates within the best-fit models included the proportion of ice cover and forest cover within the basin, mean August air temperature, the proportion of consolidated geologic units, and snow water equivalent. Statistical models that included spatial autocovariance structures had better predictive performance than those that did not. In addition, models of mean August and September water temperature had better predictive performance than those of seven-day average daily maximum temperature in August and September. Predictions of the spatial distribution of water temperature were similar between August and September with a general warming in the downstream part of main-stem White River compared to cooler water temperatures in the high-elevation headwater streams. Estimated water temperatures for the upper White River model are three to four degrees Celsius warmer for tributaries but one to two degrees cooler for the main stem compared to the regional-scale model. Differences between the upper White River SSN model and the regional-scale SSN model are attributed the upper White River SSN including water temperature observations specific to the upper White River, whereas water temperature observations from lower elevation streams and downstream of the Mount Rainer National Park boundary were used in the regional-scale model.</span></p>","language":"English","publisher":"EarthArXiv","doi":"10.31223/X5712P","usgsCitation":"Gendaszek, A., Leach, A.C., and Jaeger, K.L., 2024, Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington: EarthArXiv, https://doi.org/10.31223/X5712P.","productDescription":"33 p.","ipdsId":"IP-166723","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":433007,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":439208,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.31223/x5712p","text":"External Repository"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":343378,"corporation":false,"usgs":false,"family":"Gendaszek","given":"Andrew","middleInitial":"S.","affiliations":[{"id":82076,"text":"King County","active":true,"usgs":false}],"preferred":false,"id":910876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leach, Anya Clare 0000-0001-7828-8858","orcid":"https://orcid.org/0000-0001-7828-8858","contributorId":339960,"corporation":false,"usgs":true,"family":"Leach","given":"Anya","email":"","middleInitial":"Clare","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaeger, Kristin L. 0000-0002-1209-8506","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":206935,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910878,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257561,"text":"70257561 - 2024 - Simulated sea level rise in coastal peat oils stimulates mercury methylation","interactions":[],"lastModifiedDate":"2024-09-23T16:20:31.643081","indexId":"70257561","displayToPublicDate":"2024-08-16T08:36:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5615,"text":"ACS Earth and Space Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Simulated sea level rise in coastal peat oils stimulates mercury methylation","docAbstract":"<p><span>Coastal wetlands are vulnerable to sea level rise with unknown consequences for mercury (Hg) cycling, particularly the potential for exacerbating neurotoxic methylmercury (MeHg) production and bioaccumulation in food webs. Here, the effect of sea level rise on MeHg formation in the Florida Everglades was evaluated by incubating peat cores from a freshwater wetland for 0–20 days in the laboratory at five salinity conditions (0.16–6.0 parts-per-thousand; 0.20–454 mg L</span><sup>–1</sup><span>&nbsp;sulfate (SO</span><sub>4</sub><sup>2–</sup><span>)) to simulate the onset of sea level rise within coastal margins. Isotopically enriched inorganic mercury (</span><sup>201</sup><span>Hg(II)) was used to track MeHg formation and peat-porewater partitioning. In all five salinity treatments, porewaters became anoxic within 1 day and became progressively enriched in dissolved organic matter (DOM) of greater aromatic composition over the 20 days compared to ambient conditions. In the four highest salinity treatments, SO</span><sub>4</sub><sup>2–</sup><span>&nbsp;concentrations decreased and sulfide concentrations increased over time due to microbial dissimilatory SO</span><sub>4</sub><sup>2–</sup><span>&nbsp;reduction that was concurrent with&nbsp;</span><sup>201</sup><span>Hg(II) methylation. Importantly, elevated salinity resulted in a greater proportion of produced Me</span><sup>201</sup><span>Hg observed in porewaters as opposed to bound to peat, interpreted to be due to the complexation of MeHg with aromatic DOM released from peat. The findings highlight the potential for enhanced production and mobilization of MeHg in coastal wetlands of the Florida Everglades due to the onset of saltwater intrusion.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsearthspacechem.4c00124","usgsCitation":"Cook, B.A., Peterson, B.D., Ogorek, J.M., Janssen, S., and Poulin, B., 2024, Simulated sea level rise in coastal peat oils stimulates mercury methylation: ACS Earth and Space Chemistry, v. 8, no. 9, p. 1784-1796, https://doi.org/10.1021/acsearthspacechem.4c00124.","productDescription":"13 p.","startPage":"1784","endPage":"1796","ipdsId":"IP-163692","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439209,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsearthspacechem.4c00124","text":"Publisher Index Page"},{"id":432933,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":434914,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P139NMHU","text":"USGS data release","linkHelpText":"Mercury Methylation Assay Along a Salinity Gradient in Coastal Peat Soils in the Florida Everglades"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.26748408478383,\n              26.417153260709895\n            ],\n            [\n              -81.55705618538097,\n              26.417153260709895\n            ],\n            [\n              -81.55705618538097,\n              25.075472168285998\n            ],\n            [\n              -80.26748408478383,\n              25.075472168285998\n            ],\n            [\n              -80.26748408478383,\n              26.417153260709895\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Cook, Bryce A.","contributorId":340463,"corporation":false,"usgs":false,"family":"Cook","given":"Bryce","email":"","middleInitial":"A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":910839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Benjamin D.","contributorId":328487,"corporation":false,"usgs":false,"family":"Peterson","given":"Benjamin","email":"","middleInitial":"D.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":910840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":910841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poulin, Brett A.","contributorId":328488,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":910843,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257678,"text":"70257678 - 2024 - Trail sustainability broadly defined","interactions":[],"lastModifiedDate":"2024-08-23T13:43:06.541821","indexId":"70257678","displayToPublicDate":"2024-08-16T06:59:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5520,"text":"Journal of Outdoor Recreation and Tourism","active":true,"publicationSubtype":{"id":10}},"title":"Trail sustainability broadly defined","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">In this paper we provide a concise yet comprehensive examination of the importance and sustainability of trail networks, considering a diverse array of perspectives. Sustainability related to recreation infrastructure elements has been variously defined, with different disciplines often only considering one or two aspects of sustainability. In the context of trail networks, we suggest that there must be an equilibrium or harmony between human uses and the long-term sustainable management of the trail network's infrastructure, its protections of environmental and historic/cultural resources, and provision of diverse socio-economic benefits to visitors and surrounding communities. While trail sustainability has often been narrowly defined as accommodating visitation while minimizing environmental degradation, we emphasize a broader definition that encompasses four interconnected domains: managerial, resource, social, and economic. We suggest that a network of trails cannot be truly sustainable until scientists, land managers, and trail stewards fully consider and effectively address each of these dimensions.</p></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jort.2024.100805","usgsCitation":"Marion, J.L., and Wilkins, E.J., 2024, Trail sustainability broadly defined: Journal of Outdoor Recreation and Tourism, v. 47, 100805, 8 p., https://doi.org/10.1016/j.jort.2024.100805.","productDescription":"100805, 8 p.","ipdsId":"IP-141981","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":433054,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkins, Emily J. 0000-0003-3055-4808","orcid":"https://orcid.org/0000-0003-3055-4808","contributorId":328409,"corporation":false,"usgs":true,"family":"Wilkins","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":911390,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257160,"text":"70257160 - 2024 - Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data","interactions":[],"lastModifiedDate":"2024-08-12T12:11:35.568056","indexId":"70257160","displayToPublicDate":"2024-08-16T06:51:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js\"><p id=\"d1e565\">Observations of glacier mass changes are key to understanding the response of glaciers to climate change and related impacts, such as regional runoff, ecosystem changes, and global sea level rise. Spaceborne optical and radar sensors make it possible to quantify glacier elevation changes, and thus multi-annual mass changes, on a regional and global scale. However, estimates from a growing number of studies show a wide range of results with differences often beyond uncertainty bounds. Here, we present the outcome of a community-based inter-comparison experiment using spaceborne optical stereo (ASTER) and synthetic aperture radar interferometry (TanDEM-X) data to estimate elevation changes for defined glaciers and target periods that pose different assessment challenges. Using provided or self-processed digital elevation models (DEMs) for five test sites, 12 research groups provided a total of 97 spaceborne elevation-change datasets using various processing approaches. Validation with airborne data showed that using an ensemble estimate is promising to reduce random errors from different instruments and processing methods but still requires a more comprehensive investigation and correction of systematic errors. We found that scene selection, DEM processing, and co-registration have the biggest impact on the results. Other processing steps, such as treating spatial data voids, differences in survey periods, or radar penetration, can still be important for individual cases. Future research should focus on testing different implementations of individual processing steps (e.g. co-registration) and addressing issues related to temporal corrections, radar penetration, glacier area changes, and density conversion. Finally, there is a clear need for our community to develop best practices, use open, reproducible software, and assess overall uncertainty to enhance inter-comparison and empower physical process insights across glacier elevation-change studies.</p></div></div><div id=\"citation-footer\" class=\"sec\"><br></div>","language":"English","publisher":"European Geophysical Union","doi":"10.5194/tc-18-3195-2024","usgsCitation":"Piermattei, L., Zemp, M., Sommer, C., Brun, F., Braun, M.H., Andreassen, L.M., Belart, J.M., Berthier, E., Bhattacharya, A., Boehm Vock, L., Bolch, T., Dehecq, A., Dussaillant, I., Falaschi, D., Florentine, C., Floricioiu, D., Ginzler, C., Guillet, G., Hugonnet, R., Kaab, A., King, O., Klug, C., Knuth, F., Krieger, L., La Frenierre, J., McNabb, R., McNeil, C., Prinz, R., Sass, L., Seehaus, T., Shean, D., Treichler, D., Wendt, A., and Yang, R., 2024, Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data: The Cryosphere, v. 18, no. 7, p. 3195-3230, https://doi.org/10.5194/tc-18-3195-2024.","productDescription":"36 p.","startPage":"3195","endPage":"3230","ipdsId":"IP-154831","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":439210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-18-3195-2024","text":"Publisher Index Page"},{"id":432482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Piermattei, Livia","contributorId":342083,"corporation":false,"usgs":false,"family":"Piermattei","given":"Livia","email":"","affiliations":[],"preferred":false,"id":909583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zemp, Michael","contributorId":342071,"corporation":false,"usgs":false,"family":"Zemp","given":"Michael","email":"","affiliations":[],"preferred":false,"id":909600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sommer, Christian","contributorId":342072,"corporation":false,"usgs":false,"family":"Sommer","given":"Christian","email":"","affiliations":[],"preferred":false,"id":909601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brun, Fanny","contributorId":342073,"corporation":false,"usgs":false,"family":"Brun","given":"Fanny","email":"","affiliations":[],"preferred":false,"id":909602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Braun, Matthias H.","contributorId":342074,"corporation":false,"usgs":false,"family":"Braun","given":"Matthias","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":909603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andreassen, Liss M.","contributorId":342075,"corporation":false,"usgs":false,"family":"Andreassen","given":"Liss","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":909604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belart, Joaquin M. C.","contributorId":342076,"corporation":false,"usgs":false,"family":"Belart","given":"Joaquin","email":"","middleInitial":"M. C.","affiliations":[],"preferred":false,"id":909605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berthier, Etienne","contributorId":342077,"corporation":false,"usgs":false,"family":"Berthier","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":909606,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bhattacharya, Atanu","contributorId":342078,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Atanu","email":"","affiliations":[],"preferred":false,"id":909607,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boehm Vock, Laura","contributorId":342079,"corporation":false,"usgs":false,"family":"Boehm Vock","given":"Laura","email":"","affiliations":[],"preferred":false,"id":909608,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bolch, Tobias","contributorId":342080,"corporation":false,"usgs":false,"family":"Bolch","given":"Tobias","email":"","affiliations":[],"preferred":false,"id":909609,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dehecq, Amaury","contributorId":299746,"corporation":false,"usgs":false,"family":"Dehecq","given":"Amaury","email":"","affiliations":[],"preferred":false,"id":909610,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dussaillant, Ines","contributorId":342081,"corporation":false,"usgs":false,"family":"Dussaillant","given":"Ines","email":"","affiliations":[],"preferred":false,"id":909611,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Falaschi, Daniel","contributorId":342082,"corporation":false,"usgs":false,"family":"Falaschi","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":909612,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":909613,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Floricioiu, Dana","contributorId":342084,"corporation":false,"usgs":false,"family":"Floricioiu","given":"Dana","email":"","affiliations":[],"preferred":false,"id":909614,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ginzler, Christian","contributorId":342085,"corporation":false,"usgs":false,"family":"Ginzler","given":"Christian","email":"","affiliations":[],"preferred":false,"id":909615,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Guillet, Gregoire","contributorId":342086,"corporation":false,"usgs":false,"family":"Guillet","given":"Gregoire","email":"","affiliations":[],"preferred":false,"id":909616,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hugonnet, Romain","contributorId":342087,"corporation":false,"usgs":false,"family":"Hugonnet","given":"Romain","email":"","affiliations":[],"preferred":false,"id":909617,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kaab, Andreas","contributorId":53175,"corporation":false,"usgs":false,"family":"Kaab","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":909618,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"King, Owen","contributorId":342089,"corporation":false,"usgs":false,"family":"King","given":"Owen","email":"","affiliations":[],"preferred":false,"id":909619,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Klug, Christoph","contributorId":342090,"corporation":false,"usgs":false,"family":"Klug","given":"Christoph","email":"","affiliations":[],"preferred":false,"id":909620,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Knuth, Friedrich","contributorId":299741,"corporation":false,"usgs":false,"family":"Knuth","given":"Friedrich","email":"","affiliations":[],"preferred":false,"id":909621,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Krieger, Lukas","contributorId":342091,"corporation":false,"usgs":false,"family":"Krieger","given":"Lukas","email":"","affiliations":[],"preferred":false,"id":909622,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"La Frenierre, Jeff","contributorId":342092,"corporation":false,"usgs":false,"family":"La Frenierre","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":909623,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"McNabb, Robert 0000-0003-0016-493X","orcid":"https://orcid.org/0000-0003-0016-493X","contributorId":293147,"corporation":false,"usgs":false,"family":"McNabb","given":"Robert","email":"","affiliations":[{"id":54679,"text":"Ulster University","active":true,"usgs":false}],"preferred":false,"id":909624,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"McNeil, Christopher 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":220853,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":909625,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Prinz, Rainer","contributorId":342093,"corporation":false,"usgs":false,"family":"Prinz","given":"Rainer","email":"","affiliations":[],"preferred":false,"id":909626,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":909627,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Seehaus, Thorsten","contributorId":342094,"corporation":false,"usgs":false,"family":"Seehaus","given":"Thorsten","email":"","affiliations":[],"preferred":false,"id":909628,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Shean, David","contributorId":299742,"corporation":false,"usgs":false,"family":"Shean","given":"David","affiliations":[],"preferred":false,"id":909629,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Treichler, Desiree","contributorId":342095,"corporation":false,"usgs":false,"family":"Treichler","given":"Desiree","email":"","affiliations":[],"preferred":false,"id":909630,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Wendt, Anja","contributorId":342096,"corporation":false,"usgs":false,"family":"Wendt","given":"Anja","email":"","affiliations":[],"preferred":false,"id":909631,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Yang, Ruitang","contributorId":342097,"corporation":false,"usgs":false,"family":"Yang","given":"Ruitang","email":"","affiliations":[],"preferred":false,"id":909632,"contributorType":{"id":1,"text":"Authors"},"rank":34}]}}
,{"id":70257731,"text":"70257731 - 2024 - Projected changes in mangrove distribution and vegetation structure under climate change in the southeastern United States","interactions":[],"lastModifiedDate":"2024-10-23T16:04:36.22601","indexId":"70257731","displayToPublicDate":"2024-08-16T06:37:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Projected changes in mangrove distribution and vegetation structure under climate change in the southeastern United States","docAbstract":"<h3 id=\"jbi14985-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>The climate change-induced transition from grass-dominated marshes to woody-plant-dominated mangrove forests has the potential to impact the ecosystem goods and services provided by coastal wetlands. To better anticipate and prepare for these impacts, there is a need to advance understanding of future changes in mangrove distribution and coastal wetland vegetation structural properties due to warming winters.</p><h3 id=\"jbi14985-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Southeastern United States.</p><h3 id=\"jbi14985-sec-0003-title\" class=\"article-section__sub-title section1\">Time Period</h3><p>Recent (1981–2010) and future (2071–2100).</p><h3 id=\"jbi14985-sec-0004-title\" class=\"article-section__sub-title section1\">Major Taxa Studied</h3><p>Coastal wetland vegetation.</p><h3 id=\"jbi14985-sec-0005-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We estimated changes in mangrove distribution and coastal wetland vegetation structure using known climate-ecological relationships, recent climate data for the period 1981–2010, and future projected climate data for the period 2071–2100. We quantified potential changes in mangrove presence, mangrove relative abundance, coastal wetland vegetation height, and coastal wetland vegetation aboveground biomass under two Shared Socio-Economic Pathway scenarios (SSPs; SSP2-4.5 and SSP5-8.5), which correspond to intermediate and high greenhouse gas emissions scenarios, respectively.</p><h3 id=\"jbi14985-sec-0006-title\" class=\"article-section__sub-title section1\">Results</h3><p>Our analyses indicate that mangrove presence and relative abundance will dramatically increase in the northern Gulf of Mexico and the southeast Atlantic coast of the United States, particularly under the high emissions scenario. Because of the higher stature of mangroves relative to salt marsh vegetation, this expansion will cause a transformative change in coastal wetland vegetation height and aboveground biomass in many areas. However, along the arid southern Texas coast, low precipitation and high salinities are expected to constrain mangrove expansion and growth.</p><h3 id=\"jbi14985-sec-0007-title\" class=\"article-section__sub-title section1\">Main Conclusions</h3><p>Our results show where and to what extent climate change, in the form of winter temperature warming, is projected to enable the transition from shorter, grass-dominated salt marshes to taller, woody plant-dominated mangrove forests in the southeastern United States, with consequent impacts on ecosystem goods and services.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jbi.14985","usgsCitation":"Bardou, R., Osland, M., Alemu I, J., Feher, L.C., Harlan, D.P., Scyphers, S.B., Shepard, C., Swinea, S.H., Thorne, K., Andrew, J.E., and Hughes, A.R., 2024, Projected changes in mangrove distribution and vegetation structure under climate change in the southeastern United States: Journal of Biogeography, v. 51, no. 11, p. 2285-2297, https://doi.org/10.1111/jbi.14985.","productDescription":"13 p.","startPage":"2285","endPage":"2297","ipdsId":"IP-159771","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439211,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jbi.14985","text":"Publisher Index Page"},{"id":433149,"rank":2,"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              -99.39786032599629,\n              24.136736510479963\n            ],\n            [\n              -75.31582907599602,\n              24.136736510479963\n            ],\n            [\n              -75.31582907599602,\n              38.69409218113995\n            ],\n            [\n              -99.39786032599629,\n              38.69409218113995\n            ],\n            [\n              -99.39786032599629,\n              24.136736510479963\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Bardou, Remi","contributorId":274822,"corporation":false,"usgs":false,"family":"Bardou","given":"Remi","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":911539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":911540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alemu I, Jahson B.","contributorId":343615,"corporation":false,"usgs":false,"family":"Alemu I","given":"Jahson B.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":911541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feher, Laura Colleen 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":336523,"corporation":false,"usgs":false,"family":"Feher","given":"Laura","email":"","middleInitial":"Colleen","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":911542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harlan, David P.","contributorId":343618,"corporation":false,"usgs":false,"family":"Harlan","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":911543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scyphers, Steven B.","contributorId":274810,"corporation":false,"usgs":false,"family":"Scyphers","given":"Steven","middleInitial":"B.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":911544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shepard, Christine C.","contributorId":274812,"corporation":false,"usgs":false,"family":"Shepard","given":"Christine C.","affiliations":[{"id":56655,"text":"The Nature Conservancy, Gulf of Mexico Program, Key West, FL USA","active":true,"usgs":false}],"preferred":false,"id":911545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swinea, Savannah H.","contributorId":274811,"corporation":false,"usgs":false,"family":"Swinea","given":"Savannah","email":"","middleInitial":"H.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":911546,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorne, Kalaina","contributorId":290482,"corporation":false,"usgs":false,"family":"Thorne","given":"Kalaina","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":911547,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Andrew, Jill E.","contributorId":343621,"corporation":false,"usgs":false,"family":"Andrew","given":"Jill","email":"","middleInitial":"E.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":911548,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hughes, A. Randall","contributorId":177827,"corporation":false,"usgs":false,"family":"Hughes","given":"A.","email":"","middleInitial":"Randall","affiliations":[],"preferred":false,"id":911549,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70263690,"text":"70263690 - 2024 - The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example","interactions":[],"lastModifiedDate":"2025-02-20T22:09:37.912852","indexId":"70263690","displayToPublicDate":"2024-08-15T16:06:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster <i>Crassostrea virginica </i>example","title":"The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">Increasing reliance on numerical simulation models to help inform management and restoration choices benefits from careful consideration of critical early steps in model development. Along the northern coast of the Gulf of Mexico, the eastern oyster<span>&nbsp;</span><i>Crassostrea virginica</i><span>&nbsp;</span>fulfills important ecological and economic roles. Using the eastern oyster as an example, we draw on several recent frameworks outlining best practices for model development and application for restoration, conservation, and management.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">We identify priority model questions, outline a conceptual ecological model (CEM) to guide numerical model development, and use this framework to identify uncertainties and research needs.</p></div><div class=\" sec\"><div class=\"title\">Result</div><p class=\"chapter-para\">The CEM uses a nested design, identifying explicit vital rates, processes, attributes, and outcomes for the species (oysters), population, and metapopulation (i.e., network of populations) levels in response to drivers of species, population, and metapopulation changes and changing environmental factors. Most management actions related to oyster restoration and harvest affect population attributes directly, but many coastal management actions and changes (i.e., climate change and coastal and water resource engineering) impact environmental factors that alter vital rates and attributes of oysters, populations, and metapopulations.</p></div><div class=\" sec\"><div class=\"title\">Conclusion</div><p class=\"chapter-para\">Investment in studies targeting individual oyster‐ and population‐level multi‐stressor responses (filtration, respiration, growth, and reproduction) and improving hydrodynamic and environmental models targeting drivers that influence metapopulation vital rates and attributes (i.e., connectivity and substrate persistence) would contribute to reducing uncertainties. Development of numerical models covering the entire oyster life cycle and connectivity of populations using hydrodynamic models of current and predicted conditions to provide key abiotic and biotic factors influencing larval movement, recruitment, and on‐reef oyster vital rates would assist in balancing the goals of conservation, restoration, and fisheries management of this foundational estuarine species.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1002/mcf2.10297","usgsCitation":"La Peyre, M., Sable, S., Marshall, D., Irwin, E.R., and Hanson, C., 2024, The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 16, no. 4, 10297, 16 p., https://doi.org/10.1002/mcf2.10297.","productDescription":"10297, 16 p.","ipdsId":"IP-159595","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10297","text":"Publisher Index Page"},{"id":482302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":927834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sable, Shaye","contributorId":147275,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","affiliations":[{"id":16816,"text":"Dynamic Solutions, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":927835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Danielle A.","contributorId":239867,"corporation":false,"usgs":false,"family":"Marshall","given":"Danielle A.","affiliations":[{"id":48014,"text":"School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":927836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":927837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanson, Chad W.","contributorId":351071,"corporation":false,"usgs":false,"family":"Hanson","given":"Chad W.","affiliations":[{"id":65917,"text":"The Pew Charitable Trusts","active":true,"usgs":false}],"preferred":false,"id":927838,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257195,"text":"ofr20241040 - 2024 - Least Bell's Vireos and Southwestern Willow Flycatchers—Breeding activities and habitat use—2023 annual report","interactions":[],"lastModifiedDate":"2026-02-09T17:14:31.244181","indexId":"ofr20241040","displayToPublicDate":"2024-08-15T13:48:22","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":"2024-1040","displayTitle":"Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California: Breeding Activities and Habitat Use—2023 Annual Report","title":"Least Bell's Vireos and Southwestern Willow Flycatchers—Breeding activities and habitat use—2023 annual report","docAbstract":"<h1>Executive Summary</h1><p>We completed four protocol surveys for Least Bell’s Vireos (<i>Vireo bellii pusillus</i>; hereinafter vireo) during the breeding season, supplemented by weekly territory monitoring visits between April 6 and July 20 at the San Luis Rey Flood Risk Management Project Area (hereinafter Project Area). We identified a total of 136 territorial male vireos; 121 were confirmed as paired, and 4 were confirmed as single males. For the remaining 11 territories, we were unable to confirm breeding status. In 2023, two transient vireos were detected. The vireo population in the Project Area increased by 2 percent from 2022 to 2023. Populations in southern San Diego County also increased (by 6 percent on the Otay River) or were stable (Salt Creek/Wolf Canyon). In contrast, the vireo population at Marine Corps Base Camp Pendleton (MCBCP) and at Marine Corps Air Station decreased by 2 and 10 percent, respectively.</p><p>We used an index of treatment (hereinafter Treatment Index) to evaluate the effect of ongoing vegetation clearing on the Project Area vireo population. The Treatment Index measures the cumulative effect of vegetation treatment within a territory by using the percentage area treated weighted by the number of years since treatment. We determined that the Treatment Index for an unoccupied habitat was more than four times higher than that of an occupied habitat, indicating that vireos selected habitats that were less treated in which to settle.</p><p>We monitored vireo nests at three general site types: (1) within the flood channel where non-native and native vegetation removal has occurred regularly (hereinafter Channel), (2) three sites near the flood channel where limited non-native and native vegetation removal has occurred (hereinafter Off-channel), and (3) three sites that have been actively restored by planting native vegetation (hereinafter Restoration). Nesting activity was monitored in 84 territories, 4 of which were occupied by single males. Overall, 46 percent of completed nests were successful, and nest success did not differ among the three sites. In 2023, we found that territories in the Channel had greater hatching success per egg compared to Off-channel, but there were no other differences with regard to clutch size, hatching, or fledging success among Channel, Off-channel, and Restoration sites. Overall breeding success and productivity were slightly higher in 2023 than in 2022, with pairs fledging an average±standard deviation of 3.1±2.1 young and 79 percent of pairs fledging at least 1 young.</p><p>To investigate if the cumulative years of treatment had an effect on vireo reproductive effort, we looked at the effects of the Treatment Index on reproductive parameters. Results from generalized linear models indicated that treatment did not have an effect on vireo nesting effort (the number of nest attempts) or the number of vireo fledglings per pair produced in 2023. Similarly, we did not detect an effect of Treatment Index on the daily survival rate (DSR) of nests.</p><p>Analysis of vegetation data collected at vireo nests from 2006 to 2023 did not reveal an effect of vegetation cover at the nest on DSR. We did find, however, that Channel nests were placed higher in and farther from the edge of the host plant than Off-channel nests. Within sites, we did not detect any differences in vegetation cover between successful and unsuccessful nests.</p><p>Red/arroyo willow (<i>Salix laevigata</i> or <i>Salix lasiolepis</i>) and mule fat (<i>Baccharis salicifolia</i>) were the species most commonly selected for nesting by vireos in all three site types. Black willow (<i>Salix gooddingii</i>) and sandbar willow (<i>Salix exigua</i>) also were commonly used. Vireos used a wider variety of species for nesting in Channel and Off-channel sites (10 and 13 species, respectively) compared to Restoration sites (2 species), although there was limited nesting in Restoration sites in 2023.</p><p>There were 51 vireos banded before the 2023 breeding season that were resighted and identified at the Project Area in 2023. Two of these vireos were originally banded outside of the Project Area, at the Santa Margarita River on MCBCP. Adult birds of known age ranged from 1 to 7 years old. Between 2006 and 2023, survival of males (66±11 percent) was consistently higher than that of females (60±12 percent). First-year birds from 2006 to 2022 had an average annual survival of 15±5 percent.</p><p>First-year dispersal in 2023 averaged 20.2±31.3 kilometers (km), with the longest dispersal (76.3 km) by a female that was recaptured at Wolf Canyon, a tributary to Otay River. From 2007 to 2012, most returning first-year vireos returned to the Project Area, whereas from 2014 to 2016, a greater proportion of returning birds dispersed to areas outside of the Project Area. From 2018 to 2022, the trend shifted, and more first-year vireos returned to the Project Area, except for 2022 when only one out of five first-year vireos returned to the Project Area. This trend continued in 2023: 71 percent of all first-year vireos returned to the Project Area, and 29 percent dispersed to areas outside of the Project Area (San Diego River and Wolf Canyon).</p><p>Most of the returning adult male vireos showed strong between-year fidelity to their previous territories. In 2023, 94 percent of males (34/36) occupied a territory that they had defended in 2022 (within 100 meters [m]). In 2023, 33 percent of females (1/3) detected returned to a territory they occupied in 2022. The average between-year movement for returning adult vireos was 0.2±0.9 km. The amount of treatment at adults’ 2022 territories did not affect the distance adults moved to their 2023 territories.</p><p>We completed four protocol surveys for the endangered Southwestern Willow Flycatcher (<i>Empidonax traillii extimus</i>; hereinafter flycatcher) at the Project Area between May 15 and July 21, 2023. In 2023, four transient Willow Flycatchers were detected in the Project Area. Two transients were detected in Reach 1, one in Reach 3a, and one in Whelan Mitigation. No resident flycatchers were documented in the Project Area in 2023.</p><p>A total of 46 vegetation transects (516 points) were sampled in the Project Area in 2023. There were 71 percent (368/516) of points located in the Channel, and 22 percent (113/516) were in Upper Pond. The remaining 7 percent (35/516) of points were at the Whelan Restoration site. Foliage cover below 1 m was higher at the Channel points and Upper Pond compared to Whelan Restoration. From 1 to 3 m, foliage cover was similar at all 3 sites; however, above 3 m foliage cover was higher in the Channel compared to the Upper Pond and Whelan Restoration sites. Average canopy height was higher in the Channel (5.6±3.8 m) compared to Upper Pond (4.7±2.7 m) and Whelan Restoration (4.0±2.0 m). From 2006 to 2023, total foliage cover declined from 2 to 3 m and above 6 m in the Channel, in contrast to Upper Pond and Whelan Restoration, where little directional change in vegetation cover has occurred and where vegetation cover has largely recovered to 2006 levels. Within the Channel, the steepest declines occurred between 2009 and 2013 and between 2014 and 2016. Since 2016, we observed an increase in foliage cover, largely herbaceous, between 0 and 2 m within the Channel. Although increases were observed at all height classes after 2016, percentage cover has remained below levels measured before 2009.</p><p>We sampled vegetation at 45 vireo nests and 45 random plots (territory plots) within territories in the Channel and Upper Pond after the 2023 breeding season. Vireos in the Channel established territories in areas with significantly more cover from 3 to 7 m but less cover below 1 m relative to the available habitat. Within territories, Channel vireos selected nest sites largely at random, but with significantly less foliage cover from 4 to 5 m. Vireos at Upper Pond established territories in areas with significantly more foliage cover below 4 m and from 5 to 6 m relative to available habitat. Within territories, Upper Pond vireos also selected nest sites at random except for a preference for sites with significantly less foliage cover below 1 m.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241040","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Houston, A., Allen, L.D., Mendia, S.M., and Kus, B.E., 2024, Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California: Breeding activities and habitat use—2023 Annual report: U.S. Geological Survey Open-File Report 2024–1040, 77 p., https://doi.org/10.3133/ofr20241040.","productDescription":"x, 77 p.","numberOfPages":"77","onlineOnly":"Y","ipdsId":"IP-163418","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":432608,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241040/full"},{"id":432607,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1040/images"},{"id":432606,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1040/ofr20241040.xml"},{"id":432605,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1040/ofr20241040.pdf","text":"Report","size":"5.7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432604,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1040/covrthb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusion</li><li>References Cited</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-08-15","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Houston, Alexandra 0000-0002-8599-8265 ahouston@usgs.gov","orcid":"https://orcid.org/0000-0002-8599-8265","contributorId":139460,"corporation":false,"usgs":true,"family":"Houston","given":"Alexandra","email":"ahouston@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Lisa D. 0000-0002-6147-3165 ldallen@usgs.gov","orcid":"https://orcid.org/0000-0002-6147-3165","contributorId":196789,"corporation":false,"usgs":true,"family":"Allen","given":"Lisa","email":"ldallen@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendia, Shannon M. 0000-0003-4520-7024","orcid":"https://orcid.org/0000-0003-4520-7024","contributorId":223100,"corporation":false,"usgs":true,"family":"Mendia","given":"Shannon M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909708,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257564,"text":"70257564 - 2024 - Climate and weather drivers in southern California Santa Ana Wind and non-Santa Wind fires","interactions":[],"lastModifiedDate":"2024-09-09T17:11:00.235641","indexId":"70257564","displayToPublicDate":"2024-08-15T10:03:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Climate and weather drivers in southern California Santa Ana Wind and non-Santa Wind fires","docAbstract":"Background. Autumn and winter Santa Ana Winds (SAW) are responsible for the largest and most destructive wildfires in southern California. Aims. 1) To contrast fires ignited on SAW days vs non-SAW days, 2) evaluate the predictive ability of the Canadian Fire Weather Index (CFWI) for these two fire types, and 3) determine climate and weather factors responsible for the largest wildfires. Methods. Cal Fire FRAP fire data were coupled with hourly climate data from 4 stations, and with regional indices of SAW wind speed, and with seasonal drought from the Palmer Drought Severity Index. Key results. Fires on non-SAW days were more numerous and burned more area, and were significant May to October. CFWI indices were tied to fire occurrence and size for both non-SAW and SAW days, and in the days following ignition. Multiple regression models for months with greatest area burned explained up to a quarter of variation in area burned. Conclusions. The drivers of fire size differ between non-SAW and SAW fires. The best predictor of fire size for non-SAW fires was drought during the prior five years, followed by current-year vapor pressure deficit. For SAW fires, wind speed followed by drought were most important.","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF23190","usgsCitation":"Keeley, J., Flannigan, M., Brown, T.J., Rolinski, T., Cayan, D., Syphard, A., Guzman-Morales, J., and Gershunov, A., 2024, Climate and weather drivers in southern California Santa Ana Wind and non-Santa Wind fires: International Journal of Wildland Fire, v. 33, WF23190, 16 p., https://doi.org/10.1071/WF23190.","productDescription":"WF23190, 16 p.","ipdsId":"IP-158752","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439212,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf23190","text":"Publisher Index Page"},{"id":433636,"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              -120.89507141501502,\n              35.25764436587998\n            ],\n            [\n              -120.89507141501502,\n              32.577742693551556\n            ],\n            [\n              -116.66533508689008,\n              32.577742693551556\n            ],\n            [\n              -116.66533508689008,\n              35.25764436587998\n            ],\n            [\n              -120.89507141501502,\n              35.25764436587998\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flannigan, Michael","contributorId":343369,"corporation":false,"usgs":false,"family":"Flannigan","given":"Michael","affiliations":[{"id":64504,"text":"Thompson Rivers University","active":true,"usgs":false}],"preferred":false,"id":910845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Tim J.","contributorId":343370,"corporation":false,"usgs":false,"family":"Brown","given":"Tim","email":"","middleInitial":"J.","affiliations":[{"id":37795,"text":"Southern California Edison","active":true,"usgs":false}],"preferred":false,"id":910846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rolinski, Tom","contributorId":343372,"corporation":false,"usgs":false,"family":"Rolinski","given":"Tom","email":"","affiliations":[{"id":37795,"text":"Southern California Edison","active":true,"usgs":false}],"preferred":false,"id":910847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cayan, Daniel","contributorId":213044,"corporation":false,"usgs":false,"family":"Cayan","given":"Daniel","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":910848,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Syphard, Alexandra D.","contributorId":298289,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra D.","affiliations":[{"id":38279,"text":"Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":910849,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guzman-Morales, Janin","contributorId":343375,"corporation":false,"usgs":false,"family":"Guzman-Morales","given":"Janin","email":"","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":910850,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gershunov, Alexander","contributorId":261326,"corporation":false,"usgs":false,"family":"Gershunov","given":"Alexander","affiliations":[{"id":52819,"text":"Climate, Atmospheric Science and Physical Oceanography Division, Scripps Institution of Oceanography, University of California, San Diego, San Diego, CA 92093, USA","active":true,"usgs":false}],"preferred":false,"id":910851,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70255903,"text":"70255903 - 2024 - Perfluorohexanesulfonic acid (PFHxS) impairs lipid homeostasis in zebrafish larvae through activation of PPARα","interactions":[],"lastModifiedDate":"2024-09-23T16:18:50.800657","indexId":"70255903","displayToPublicDate":"2024-08-15T09:34:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Perfluorohexanesulfonic acid (PFHxS) impairs lipid homeostasis in zebrafish larvae through activation of PPARα","docAbstract":"<p><span>Perfluorohexanesulfonic acid (PFHxS), an emerging short-chain per- and polyfluoroalkyl substance, has been frequently detected in aquatic environments. Adverse outcome pathway studies have shown that perfluorinated compounds impair lipid homeostasis through peroxisome proliferator activated receptors (PPARs). However, many of these studies were performed at high concentrations and may thus be a result of overt toxicity. To better characterize the molecular and key events of PFHxS to biota, early life-stage zebrafish (</span><i>Danio rerio</i><span>) were exposed to concentrations detected in the environment (0.01, 0.1, 1, and 10 μg/L). Lipidomic and transcriptomic evaluations were integrated to predict potential molecular targets. PFHxS significantly impaired lipid homeostasis by the dysregulation of glycerophospholipids, fatty acyls, glycerolipids, sphingolipids, prenol lipids, and sterol lipids. Informatic analyses of the lipidome and transcriptome indicated alterations of the PPAR signaling pathway, with downstream changes to retinol, linoleic acid, and glycerophospholipid metabolism. To assess the role of PPARs, potential binding of PFHxS to PPARs was predicted and animals were coexposed to a PPAR antagonist (GW6471). Molecular simulation indicated PFHxS had a 27.1% better binding affinity than oleic acid, an endogenous agonist of PPARα. Antagonist coexposures rescued impaired glycerophosphocholine concentrations altered by PFHxS. These data indicate PPARα activation may be an important molecular initiating event for PFHxS.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c03053","usgsCitation":"He, Y., Liao, H., Yang, G., Qui, W., Xuan, R., Zheng, G., Xu, B., Yang, X., Magnuson, J.T., Schlenk, D., and Zheng, C., 2024, Perfluorohexanesulfonic acid (PFHxS) impairs lipid homeostasis in zebrafish larvae through activation of PPARα: Environmental Science & Technology, v. 58, no. 37, p. 16258-16268, https://doi.org/10.1021/acs.est.4c03053.","productDescription":"11 p.","startPage":"16258","endPage":"16268","ipdsId":"IP-164054","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":430893,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"37","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"He, Ying-Jie","contributorId":340031,"corporation":false,"usgs":false,"family":"He","given":"Ying-Jie","email":"","affiliations":[{"id":81428,"text":"Southern University of Science and Technology - China","active":true,"usgs":false}],"preferred":false,"id":905953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liao, Haolin","contributorId":340032,"corporation":false,"usgs":false,"family":"Liao","given":"Haolin","email":"","affiliations":[{"id":81428,"text":"Southern University of Science and Technology - China","active":true,"usgs":false}],"preferred":false,"id":905954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Ge","contributorId":340033,"corporation":false,"usgs":false,"family":"Yang","given":"Ge","email":"","affiliations":[{"id":81428,"text":"Southern University of Science and Technology - China","active":true,"usgs":false}],"preferred":false,"id":905955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qui, Wenhui","contributorId":329840,"corporation":false,"usgs":false,"family":"Qui","given":"Wenhui","email":"","affiliations":[{"id":78727,"text":"Southern University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":910819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xuan, Rongrong","contributorId":329834,"corporation":false,"usgs":false,"family":"Xuan","given":"Rongrong","email":"","affiliations":[{"id":78725,"text":"Ningbo University","active":true,"usgs":false}],"preferred":false,"id":906062,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zheng, Guomao","contributorId":340034,"corporation":false,"usgs":false,"family":"Zheng","given":"Guomao","email":"","affiliations":[{"id":81428,"text":"Southern University of Science and Technology - China","active":true,"usgs":false}],"preferred":false,"id":906063,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Bentuo","contributorId":329839,"corporation":false,"usgs":false,"family":"Xu","given":"Bentuo","email":"","affiliations":[{"id":78729,"text":"Wenzhou University","active":true,"usgs":false}],"preferred":false,"id":910820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yang, Xin","contributorId":340070,"corporation":false,"usgs":false,"family":"Yang","given":"Xin","email":"","affiliations":[],"preferred":false,"id":910821,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":905959,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schlenk, Daniel","contributorId":99845,"corporation":false,"usgs":true,"family":"Schlenk","given":"Daniel","affiliations":[],"preferred":false,"id":906065,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zheng, Chunmiao","contributorId":214041,"corporation":false,"usgs":false,"family":"Zheng","given":"Chunmiao","email":"","affiliations":[{"id":16675,"text":"U Alabama","active":true,"usgs":false}],"preferred":false,"id":906067,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70257286,"text":"sim3523 - 2024 - Estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia","interactions":[],"lastModifiedDate":"2025-08-14T19:12:11.272365","indexId":"sim3523","displayToPublicDate":"2024-08-15T08:38:34","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3523","displayTitle":"Estimation of Reservoir Storage Capacity and Geomorphic Change Detection Analysis From a Multibeam Bathymetric Survey of Randy Poynter Lake, Rockdale County, Georgia","title":"Estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia","docAbstract":"<p><span>Rockdale County Department of Water Resources has a directive to update estimates of the reservoir storage capacity of Randy Poynter Lake, located in northern Georgia, and to assess recent sedimentation and associated storage capacity loss. In 2022, the U.S. Geological Survey completed a multibeam bathymetric survey of Randy Poynter Lake to update storage capacity estimates and to quantify storage capacity change since the first multibeam bathymetric survey in 2012 in consideration of estimated errors inherent to bathymetric surveys. Data from the 2022 survey were used to generate contours of the reservoir as well as compute storage capacity at regular increments of water-surface elevation. Storage capacity comparisons between 2012 and 2022 at Randy Poynter Lake show minimal changes that are within the estimated uncertainties, with consistent or slightly increased storage capacities observed at most water-surface elevations and reductions observed at the remaining few elevations. Comparison of the multibeam bathymetric data collected in 2012 with data collected in 2022 further allowed for a formal geomorphic change detection analysis to map, quantify, and infer causation of morphological change over time with respect to a level of detectable change. The volume change in Randy Poynter Lake for the decade between 2012 and 2022 was slightly net-depositional and within the estimated uncertainty. The spatial distribution of sediment deposition was primarily concentrated in the northern portion of the lake, where the principal tributary flows into Randy Poynter Lake. The results of the geomorphic change analysis were used to further understand the future implications to storage capacity change. Despite the challenges of confirming systematic biases because of uncertainties exceeding the observed changes, insights from the study help predict long-term reservoir sediment accumulation, indicating a reservoir half-life extending about 650 years from 2022 on the basis of the current sediment yield estimates.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3523","issn":"2329-132X","collaboration":"Prepared in cooperation with the Rockdale County Department of Water Resources","usgsCitation":"Whaling, A.R., and Bolton, W.J., 2024, Estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia (ver. 1.1, 2025): U.S. Geological Survey Scientific Investigations Map 3523, 2 sheets, https://doi.org/10.3133/sim3523.","productDescription":"2 Sheets: 47.00 x 32.23 inches; 2 Data Releases","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-157799","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":494128,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118630.htm","linkFileType":{"id":5,"text":"html"}},{"id":432656,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3523/sim3523.pdf","size":"13.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3523"},{"id":432655,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3523/coverthb2.jpg"},{"id":432657,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G8HZTY","text":"USGS Data Release","linkHelpText":"Watershed characteristics and streamwater constituent load data, models, and estimates for 15 watersheds in Gwinnett County, Georgia, 2000–2021"},{"id":432658,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G9YVDU","text":"USGS Data Release","linkHelpText":"Bathymetric and supporting data for estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia"},{"id":489473,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3523/sim3523_verHist.txt","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"Georgia","county":"Rockdale County","otherGeospatial":"Randy Poynter Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.9579460131726,\n              33.762755823898075\n            ],\n            [\n              -83.9579460131726,\n              33.72795567856667\n            ],\n            [\n              -83.92619350646511,\n              33.72795567856667\n            ],\n            [\n              -83.92619350646511,\n              33.762755823898075\n            ],\n            [\n              -83.9579460131726,\n              33.762755823898075\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: August 15, 2024; Version 1.1: June 03, 2025","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211<br></p><p><a id=\"LPlnk\" class=\"OWAAutoLink\" title=\"https://pubs.usgs.gov/contact\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Geomorphic Change Detection</li><li>Uncertainty</li><li>Storage Capacity Change</li><li>Potential Implications to Reservoir Life</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-08-15","revisedDate":"2025-06-03","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Whaling, A.R. 0000-0003-1375-8323","orcid":"https://orcid.org/0000-0003-1375-8323","contributorId":342233,"corporation":false,"usgs":true,"family":"Whaling","given":"A.R.","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolton, W.J. 0000-0002-5120-2695","orcid":"https://orcid.org/0000-0002-5120-2695","contributorId":342234,"corporation":false,"usgs":true,"family":"Bolton","given":"W.J.","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909853,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257483,"text":"70257483 - 2024 - Foraging ecology of southern sea otters at the northern range extent informs regional population dynamics","interactions":[],"lastModifiedDate":"2024-08-16T12:21:45.4335","indexId":"70257483","displayToPublicDate":"2024-08-15T07:19:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Foraging ecology of southern sea otters at the northern range extent informs regional population dynamics","docAbstract":"<p class=\"abstract_block\">Sea otters<span>&nbsp;</span><i>Enhydra lutris</i><span>&nbsp;</span>are vital keystone predators throughout the North Pacific that were nearly extirpated during the maritime fur trade. Recovery of southern sea otters<span>&nbsp;</span><i>E. l. nereis</i><span>&nbsp;</span>has proceeded slowly, with much of their historical range remaining unoccupied, resulting in reduced ecosystem functioning. Numerous studies have used foraging metrics to assess the population status of southern sea otters throughout their current range, but little is known about the northern range extent, where a stall in expansion has limited recovery. Thus, we collected census and foraging data of sea otters at Año Nuevo State Park, California, from 2019 to 2021 to determine sea otter abundance, diet composition, diet diversity, and average energy intake rate at the northern range edge. We then assessed regional population status by comparing values from Año Nuevo with previously collected data from other locations in California, including high-density, range center sites and low-density, range periphery sites. We found that sea otter density at Año Nuevo was greater than surrounding areas at the northern range periphery, and the average (±95% CI) energy intake (9.51 ± 0.91 kcal min<sup>-1</sup>) more closely resembled values observed at high-density sites. Further, dietary diversity (using the Shannon-Wiener index,<span>&nbsp;</span><i>H</i>) was intermediate between previously studied high- and low-density populations (<i>H</i><span>&nbsp;</span>= 1.81), with crabs making up the largest proportion of the diet (~56%). Overall, this study highlights possible effects of occupation time and range stagnation, identifies unique aspects of the prey resource base at Año Nuevo, and provides insight into the ongoing lack of northern range expansion.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr01348","usgsCitation":"Lyon, S., Tomoleoni, J.A., Yee, J.L., Fujii, J., and Thometz, N.M., 2024, Foraging ecology of southern sea otters at the northern range extent informs regional population dynamics: Endangered Species Research, v. 54, p. 383-394, https://doi.org/10.3354/esr01348.","productDescription":"12 p.","startPage":"383","endPage":"394","ipdsId":"IP-165429","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01348","text":"Publisher Index Page"},{"id":432853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Año Nuevo State Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.40204225488112,\n              37.18784613344222\n            ],\n            [\n              -122.40204225488112,\n              37.091990782817675\n            ],\n            [\n              -122.26301521264912,\n              37.091990782817675\n            ],\n            [\n              -122.26301521264912,\n              37.18784613344222\n            ],\n            [\n              -122.40204225488112,\n              37.18784613344222\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyon, Sophia N.","contributorId":342938,"corporation":false,"usgs":false,"family":"Lyon","given":"Sophia N.","affiliations":[{"id":16849,"text":"University of San Francisco","active":true,"usgs":false}],"preferred":false,"id":910514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tomoleoni, Joseph A. 0000-0001-6980-251X jtomoleoni@usgs.gov","orcid":"https://orcid.org/0000-0001-6980-251X","contributorId":167551,"corporation":false,"usgs":true,"family":"Tomoleoni","given":"Joseph","email":"jtomoleoni@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fujii, Jessica 0000-0003-4794-479X","orcid":"https://orcid.org/0000-0003-4794-479X","contributorId":139956,"corporation":false,"usgs":false,"family":"Fujii","given":"Jessica","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":910517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thometz, Nicole M.","contributorId":342939,"corporation":false,"usgs":false,"family":"Thometz","given":"Nicole","email":"","middleInitial":"M.","affiliations":[{"id":16849,"text":"University of San Francisco","active":true,"usgs":false}],"preferred":false,"id":910518,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257632,"text":"70257632 - 2024 - Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior","interactions":[],"lastModifiedDate":"2024-12-10T15:13:27.024267","indexId":"70257632","displayToPublicDate":"2024-08-15T07:02:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Acoustic surveys are important for fish stock assessments, but fish responses to survey vessels can bias acoustic estimates. We leveraged quiet uncrewed surface vessels (USVs) to characterize potential bias in acoustic surveys. Five conventional motorized ships overtook USVs from astern over 2 km transects at night in Lake Superior in 2022. We examined the difference in acoustic backscatter, average target depth, and average target strength (TS) between USV and motorized vessels. Although sound level measurements from the motorized vessels sometimes exceeded recommendations for scientific vessels, we did not detect differences in acoustic measures among survey vessels. However, the USVs recorded 2 dB higher acoustic backscatter and TS than motorized vessels, leading to ~15% higher fish densities with drones when using in situ TS and echo integration. Differences in fish density would increase to 30-60% if a standard TS value was applied. Target depth did not differ between USVs and motorized ships. These results are consistent with a change in orientation but not depth of insonified fish and limited horizontal avoidance of motorized survey vessels.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0087","usgsCitation":"Evans, T.M., Rudstam, L.G., Sethi, S.A., Yule, D.L., Warner, D., Farha, S., Barnard, A.R., Dufour, M.R., O’Brien, T.P., Nasworthy, K., Harding, I., Ray, B.A., Isaac, E., Blankenheim, J., Blair, H.B., Watkins, J.M., Senczyszyn, S.A., Roberts, J., and Esselman, P., 2024, Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 12, p. 1740-1851, https://doi.org/10.1139/cjfas-2024-0087.","productDescription":"12 p.","startPage":"1740","endPage":"1851","ipdsId":"IP-163912","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":489878,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2024-0087","text":"Publisher Index Page"},{"id":432993,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.320068359375,\n              46.50973514453876\n            ],\n            [\n              -84.35028076171875,\n              46.534303278597505\n            ],\n            [\n              -84.4189453125,\n              46.53052428878426\n            ],\n     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,{"id":70257196,"text":"sir20245072 - 2024 - Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","interactions":[],"lastModifiedDate":"2024-08-15T14:58:29.532097","indexId":"sir20245072","displayToPublicDate":"2024-08-15T06:48:21","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5072","displayTitle":"Water-Quality Constituent Concentrations and Loads Computed Using Real-Time Water-Quality Data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","title":"Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","docAbstract":"<p>Milford Lake, the largest reservoir by surface area in Kansas, has had confirmed harmful algal blooms every summer since reporting began in 2011, except 2018–19. Milford Lake has been listed as impaired and designated hypereutrophic under section 303(d) of the 1972 Clean Water Act. In 2014, the Kansas Department of Health and Environment established a total maximum daily load for eutrophication and dissolved oxygen impairments. In 2018, the Natural Resources Conservation Service funded the Regional Conservation Partnership Program for the Milford Lake Watershed to focus on best management practices in the Lower Republican River Basin. The U.S. Geological Survey, in cooperation with the Kansas Water Office, completed this study to assess and quantify water-quality constituent concentrations and loads for total nitrogen (TN), total phosphorus (TP), and suspended sediment (SS) using previously published models for the Republican River near Clay Center, Kansas (U.S. Geological Survey station 06856600), about 15 miles upstream from Milford Lake, during August 1, 2018, through July 31, 2023. TN, TP, and SS concentrations and loads were monitored because of their relation to water supply and water-quality issues in Milford Lake, including nutrient and sediment transport, taste-and-odor events, potentially toxic cyano-harmful algal bloom events, and subsequent downstream transport of contaminants. Data from this report can be used to evaluate changing conditions, provide science-based information for decision making, and help meet regulatory requirements.</p><p>The study mean annual loads for TN and TP were greater than the reported mean annual total maximum daily load and exceeded the watershed reduction goals as well as Kansas nonpoint source reduction goals defined by the Watershed Restoration and Protection Strategy for the Lower Republican watershed. TN and TP annual loads during 2019–20 were greater than the defined mean annual total maximum daily load. During 2022, TN and TP annual loads were less than the Kansas nonpoint source reduction goal and during 2023 were less than the watershed reduction goal. SS loads were less than the mean annual sedimentation rate computed from the total maximum daily load for the entirety of the study period, and the study mean annual load was 72 percent less than the designed annual reservoir sedimentation rate for Milford Lake.</p><p>Data collected during the study period represented a wide range of streamflow and water-quality conditions at the Clay Center site, ranging from low-flow with less frequent runoff during 2023 to high-flow with frequent runoff during 2018. Nutrient reduction goals were only met in the final 2 years of the study period when annual mean flow conditions were lower than normal, indicating that goals may be unattainable during average or high-flow conditions. In all years except 2019, the annual mean SS load was less than the 20-year sediment load reduction target. Although annual SS loads at the Clay Center site generally decreased over time, corresponding reductions in annual streamflow indicated that these reductions may primarily be related to less frequent runoff from the upstream basin. Continued water-quality monitoring and tracking of best management practices are necessary to understand the success of Regional Conservation Partnership Program efforts to reduce nutrient transport in the Milford Lake Watershed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245072","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Kramer, A.R., and Abel, J.R., 2024, Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023: U.S. Geological Survey Scientific Investigations Report 2024–5072, 21 p., https://doi.org/10.3133/sir20245072.","productDescription":"Report: v, 21 p.; Dataset","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160554","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":432611,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5072/coverthb.jpg"},{"id":432612,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5072/sir20245072.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5072"},{"id":432613,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5072/sir20245072.XML"},{"id":432614,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5072/images/"},{"id":432615,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245072/full"},{"id":432616,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"}],"country":"United States","state":"Kansas","otherGeospatial":"Clay Center, Republican River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.25,\n              40\n            ],\n            [\n              -98.25,\n              39\n            ],\n            [\n              -96.5,\n              39\n            ],\n            [\n              -96.5,\n              40\n            ],\n            [\n              -98.25,\n              40\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/kswsc\" data-mce-href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a><br>U.S. Geological Survey<br>1217 Biltmore Drive<br>Lawrence, KS 66049</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction and Background</li><li>Purpose and Scope</li><li>Methods</li><li>Continuous and Discretely Monitored Water-Quality Variables</li><li>Computed Concentrations, Loads, and Comparison to Watershed Goals</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Supplemental data for discrete water-quality samples collected at the Republican River near Clay Center, Kansas</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-08-15","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abel, Justin R. 0000-0003-0191-8000 jabel@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-8000","contributorId":250679,"corporation":false,"usgs":true,"family":"Abel","given":"Justin","email":"jabel@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70259649,"text":"70259649 - 2024 - Using systematic conservation planning to recover climate resilient habitat for threatened and endangered species while retaining areas of cultural importance","interactions":[],"lastModifiedDate":"2024-10-18T12:14:07.089363","indexId":"70259649","displayToPublicDate":"2024-08-14T07:11:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18016,"text":"Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Using systematic conservation planning to recover climate resilient habitat for threatened and endangered species while retaining areas of cultural importance","docAbstract":"<div class=\"html-p\">The effective management of at-risk species often requires fine-scale actions by natural resource managers. However, balancing these actions with concurrent land uses is challenging, particularly when compounded by the interplay of climate shifts, and escalating wildland–urban interface conflicts. We used spatial prioritization tools designed for biodiversity conservation to help resource managers on the Island of Lānaʻi prioritize mutually exclusive land use objectives: endangered species recovery and subsistence and recreational hunting. We weighed the current and anticipated future distributions of threatened and endangered plant species against the distribution of non-native game mammals to plan for species recovery more effectively. Prioritization results identified multiple footprints that could support recovery of all endangered species targets in climate resilient areas while retaining the majority of existing hunting areas. However, very little native vegetation was retained in conservation footprints without deliberate inclusion, which increased footprint area by 268%. Scenarios which prioritized contiguous conservation areas also dramatically increased conservation footprint area, although these scenarios may reduce associated fencing costs. This work demonstrates how spatial prioritization may guide localized species recovery efforts by supporting long-term conservation planning that addresses anticipated climate-driven increases in conflict between conservation and other land uses, with clear applicability beyond Lānaʻi.</div><div id=\"html-keywords\"><br></div>","language":"English","publisher":"MDPI","doi":"10.3390/conservation4030028","usgsCitation":"Leopold, C., Fortini, L., Sprague, J., Sprague, R., and Hess, S.C., 2024, Using systematic conservation planning to recover climate resilient habitat for threatened and endangered species while retaining areas of cultural importance: Conservation, v. 4, no. 3, p. 435-451, https://doi.org/10.3390/conservation4030028.","productDescription":"17 p.","startPage":"435","endPage":"451","ipdsId":"IP-131052","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":466966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/conservation4030028","text":"Publisher Index Page"},{"id":462996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Leopold, Christina 0000-0003-0499-3196","orcid":"https://orcid.org/0000-0003-0499-3196","contributorId":178961,"corporation":false,"usgs":false,"family":"Leopold","given":"Christina","affiliations":[],"preferred":false,"id":916138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":916139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Jonathan","contributorId":240998,"corporation":false,"usgs":false,"family":"Sprague","given":"Jonathan","email":"","affiliations":[{"id":48186,"text":"Pulama Lana‘i","active":true,"usgs":false}],"preferred":false,"id":916140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sprague, Rachel","contributorId":334926,"corporation":false,"usgs":false,"family":"Sprague","given":"Rachel","email":"","affiliations":[{"id":80285,"text":"Pūulama Lanai","active":true,"usgs":false}],"preferred":false,"id":916141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hess, Steven C.","contributorId":176679,"corporation":false,"usgs":false,"family":"Hess","given":"Steven","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":916142,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257747,"text":"70257747 - 2024 - Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests","interactions":[],"lastModifiedDate":"2024-08-26T11:56:03.560648","indexId":"70257747","displayToPublicDate":"2024-08-14T06:53:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests","docAbstract":"<div class=\"article__body \"><div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Characterizing the population density of species is a central interest in ecology. Eastern North America is the global hotspot for biodiversity of plethodontid salamanders, an inconspicuous component of terrestrial vertebrate communities, and among the most widespread is the eastern red-backed salamander,<span>&nbsp;</span><i>Plethodon cinereus</i>. Previous work suggests population densities are high with significant geographic variation, but comparisons among locations are challenged by lack of standardization of methods and failure to accommodate imperfect detection. We present results from a large-scale research network that accounts for detection uncertainty using systematic survey protocols and robust statistical models. We analysed mark–recapture data from 18 study areas across much of the species range. Estimated salamander densities ranged from 1950 to 34 300 salamanders ha<sup>−1</sup>, with a median of 9965 salamanders ha<sup>−1</sup>. We compared these results to previous estimates for<span>&nbsp;</span><i>P. cinereus</i><span>&nbsp;</span>and other abundant terrestrial vertebrates. We demonstrate that overall the biomass of<span>&nbsp;</span><i>P. cinereus</i>, a secondary consumer, is of similar or greater magnitude to widespread primary consumers such as white-tailed deer (<i>Odocoileus virginianus</i>) and<span>&nbsp;</span><i>Peromyscus</i><span>&nbsp;</span>mice, and two to three orders of magnitude greater than common secondary consumer species. Our results add empirical evidence that<span>&nbsp;</span><i>P. cinereus</i>, and amphibians in general, are an outsized component of terrestrial vertebrate communities in temperate ecosystems.</p></div></div></div>","language":"English","publisher":"The Royal Society","doi":"10.1098/rsbl.2024.0033","usgsCitation":"Campbell Grant, E.H., Fleming, J.E., Bastiaans, E., Brand, A., Brooks, J., Devlin, C., Epp, K., Evans, M., Fisher-Reid, M., Gratwicke, B., Grayson, K., Haydt, N., Hernandez-Pacheco, R., Hocking, D.J., Hyde, A., Losito, M., MacKnight, M., Matlaga, T., Mead, L., Munoz, D.J., Peterman, W.B., Puza, V., Shafer, C., Sterrett, S., Sutherland, C., Thompson, L.M., Warwick, A.R., Wright, A.D., Yurewicz, K., and Miller, D., 2024, Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests: Biology Letters, v. 20, no. 8, https://doi.org/10.1098/rsbl.2024.0033.","ipdsId":"IP-160646","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":494430,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rsbl.2024.0033","text":"External Repository"},{"id":433152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleming, Jillian Elizabeth 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":238931,"corporation":false,"usgs":true,"family":"Fleming","given":"Jillian","email":"","middleInitial":"Elizabeth","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bastiaans, Elizabeth","contributorId":343640,"corporation":false,"usgs":false,"family":"Bastiaans","given":"Elizabeth","email":"","affiliations":[{"id":82135,"text":"Department of Biology, State University of New York - College at Oneonta,","active":true,"usgs":false}],"preferred":false,"id":911573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":304281,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":911574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Jacey","contributorId":343641,"corporation":false,"usgs":false,"family":"Brooks","given":"Jacey","email":"","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Devlin, Catherine","contributorId":343642,"corporation":false,"usgs":false,"family":"Devlin","given":"Catherine","email":"","affiliations":[{"id":82138,"text":"Greenfield Community College","active":true,"usgs":false}],"preferred":false,"id":911576,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Epp, Kristen","contributorId":343643,"corporation":false,"usgs":false,"family":"Epp","given":"Kristen","email":"","affiliations":[{"id":82139,"text":"Department of Biology, Eastern Connecticut State University,","active":true,"usgs":false}],"preferred":false,"id":911577,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, Matt","contributorId":343644,"corporation":false,"usgs":false,"family":"Evans","given":"Matt","email":"","affiliations":[{"id":82140,"text":"National Zoo and Conservation Biology Institute, Department of Herpetology,","active":true,"usgs":false}],"preferred":false,"id":911578,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fisher-Reid, M. Caitlin","contributorId":343645,"corporation":false,"usgs":false,"family":"Fisher-Reid","given":"M. Caitlin","affiliations":[{"id":82141,"text":"Department of Biological Sciences, Bridgewater State University","active":true,"usgs":false}],"preferred":false,"id":911579,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gratwicke, Brian 0000-0002-7332-4060","orcid":"https://orcid.org/0000-0002-7332-4060","contributorId":329542,"corporation":false,"usgs":false,"family":"Gratwicke","given":"Brian","email":"","affiliations":[{"id":78635,"text":"Smithsonian’s National Zoo and Conservation Biology Institute, Center for Species Survival, USA","active":true,"usgs":false}],"preferred":false,"id":911580,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grayson, Kristine","contributorId":303669,"corporation":false,"usgs":false,"family":"Grayson","given":"Kristine","email":"","affiliations":[{"id":65870,"text":"University of Richmond; Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":911581,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Haydt, Natalie","contributorId":343646,"corporation":false,"usgs":false,"family":"Haydt","given":"Natalie","email":"","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911582,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hernandez-Pacheco, Raisa","contributorId":343647,"corporation":false,"usgs":false,"family":"Hernandez-Pacheco","given":"Raisa","email":"","affiliations":[{"id":82142,"text":"University of Richmond; California State University","active":true,"usgs":false}],"preferred":false,"id":911583,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hocking, Daniel J.","contributorId":214288,"corporation":false,"usgs":false,"family":"Hocking","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911584,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hyde, Amanda","contributorId":343648,"corporation":false,"usgs":false,"family":"Hyde","given":"Amanda","email":"","affiliations":[{"id":82138,"text":"Greenfield Community College","active":true,"usgs":false}],"preferred":false,"id":911585,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Losito, Michael","contributorId":343649,"corporation":false,"usgs":false,"family":"Losito","given":"Michael","email":"","affiliations":[{"id":82143,"text":"Department of Fisheries, Wildlife and Environmental Science SUNY","active":true,"usgs":false}],"preferred":false,"id":911586,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"MacKnight, Maisie","contributorId":343650,"corporation":false,"usgs":false,"family":"MacKnight","given":"Maisie","email":"","affiliations":[{"id":82144,"text":"Department of Ecosystem Science and Management, Penn State University","active":true,"usgs":false}],"preferred":false,"id":911587,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Matlaga, Tanya","contributorId":343651,"corporation":false,"usgs":false,"family":"Matlaga","given":"Tanya","email":"","affiliations":[{"id":82145,"text":"Department of Biology, Susquehanna University","active":true,"usgs":false}],"preferred":false,"id":911588,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Mead, Louise","contributorId":343652,"corporation":false,"usgs":false,"family":"Mead","given":"Louise","email":"","affiliations":[{"id":82146,"text":"Department of Integrative Biology, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":911589,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Munoz, David J.","contributorId":343653,"corporation":false,"usgs":false,"family":"Munoz","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":82144,"text":"Department of Ecosystem Science and Management, Penn State University","active":true,"usgs":false}],"preferred":false,"id":911590,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Peterman, William B.","contributorId":343654,"corporation":false,"usgs":false,"family":"Peterman","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":82147,"text":"School of Environment and Natural Resources, The Ohio State Uniiversity","active":true,"usgs":false}],"preferred":false,"id":911591,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Puza, Veronica","contributorId":343655,"corporation":false,"usgs":false,"family":"Puza","given":"Veronica","email":"","affiliations":[{"id":82148,"text":"The New Jersey School of Conservation","active":true,"usgs":false}],"preferred":false,"id":911592,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Shafer, Charles 0000-0002-1864-2461 cshafer@usgs.gov","orcid":"https://orcid.org/0000-0002-1864-2461","contributorId":238932,"corporation":false,"usgs":true,"family":"Shafer","given":"Charles","email":"cshafer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911593,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Sterrett, Sean","contributorId":274333,"corporation":false,"usgs":false,"family":"Sterrett","given":"Sean","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":911594,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":911595,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Thompson, Lily 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W.","contributorId":332095,"corporation":false,"usgs":false,"family":"Miller","given":"David A. W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":911600,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}}
,{"id":70257165,"text":"sir20245043 - 2024 - Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado","interactions":[],"lastModifiedDate":"2024-08-21T18:00:17.340563","indexId":"sir20245043","displayToPublicDate":"2024-08-13T16:30:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5043","displayTitle":"Wildland Fire Effects on Sediment, Salinity, and Selenium Yields in a Basin Underlain by Cretaceous Marine Shales near Rangely, Colorado","title":"Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado","docAbstract":"<p>Understanding and quantifying soil erosion from rangelands is a high priority for land managers, especially in areas underlain by Cretaceous Mancos Shale, which is a natural source of sediment, salinity, and selenium to surface waters in many areas of western Colorado and eastern Utah. The purpose of this report is to present the results of a U.S. Geological Survey study that assessed sediment, salinity, and selenium yields after the Dead Dog wildfire (fire began June 11, 2017) in northwestern Colorado. Two methodologies were used to quantify erosion, with different data requirements and analytical complexity. The first approach was the use of a process-based erosion model, the Watershed Erosion Prediction Project, which uses inputs of climate, topography, vegetation, and soils data from existing datasets to predict erosion, making this approach easily extensible to other areas. The second approach required more complex data collection and was used to measure erosion and deposition by differencing digital elevation models created from uncrewed aerial vehicle imagery collected in 2016 (pre-fire) and 2021 (post-fire). Sediment, salinity, and selenium yields were calculated from the volumetric estimates of erosion from both methods, and a discussion of factors that may have contributed to overall findings, including vegetation, fire effects, and soil characteristics, is included.</p><p>The two approaches yielded different outputs. Results from the Watershed Erosion Prediction Project model indicated that almost no erosion occurred after the Dead Dog fire. However, morphological changes in the study basin after the Dead Dog fire were visible in the pre- and post-fire imagery and measured in the digital elevation model differencing technique, with net erosion occurring in channel and landscape extents, though calculated erosion rates and salinity and selenium yields were relatively small. Visible and measured morphological changes consisted primarily of incision and deposition within stream channels and rill incision and expansion on steeper slopes. Widespread sheet erosion was not evident. Much of the new erosion originated within, and immediately below, previously vegetated areas that were then burned by the wildfire. Greater erosion rates and salinity and selenium yields were measured in the channel extent relative to the landscape extent. Calculated erosion rates ranged from 0.24 to 0.45 megagrams per hectare per year. These results indicate that the Dead Dog fire resulted in increased erosion in the study basin, yet these effects were relatively small based on the overall magnitude of modeled and measured erosion from the Watershed Erosion Prediction Project and the digital elevation model differencing technique. Minimal erosion in the basin is likely due to local site characteristics typical of soils derived from Mancos Shale, including the presence of robust physical crusts and biological soil crusts, and limitations of the methods based on data availability. Focusing uncrewed aerial vehicle flights on key areas (individual steep slopes, high-intensity burn areas, specific stream reaches) could likely increase understanding of erosional process with less effort and error than doing landscape-level flights.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245043","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Day, N.K., Preston, T.M., and Longley, P.C., 2024, Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado: U.S. Geological Survey Scientific Investigations Report 2024–5043, 31 p., https://doi.org/10.3133/sir20245043.","productDescription":"Report: vi, 31 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-144341","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":433027,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245043/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5043"},{"id":432498,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5043/coverthb.jpg"},{"id":432499,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5043/sir20245043.pdf","text":"Report","size":"21.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5043"},{"id":432500,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91KRAAD","text":"USGS data release","linkHelpText":"Orthoimagery, digital elevation, digital terrain, final surface, and vegetation classification models for four stream catchments in western Colorado 2016"},{"id":432501,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZA125K","text":"USGS data release","linkHelpText":"Erosion rates and salinity and selenium yields in a basin near Rangely, Colorado following the 2017 Dead Dog wildfire as modeled by WEPP and measured from UAV"},{"id":432610,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5043/sir20245043.xml"},{"id":432609,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5043/images"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.99103575578066,\n              40.20515709262918\n            ],\n            [\n              -108.99103575578066,\n              40.015728339502004\n            ],\n            [\n              -108.68461550797593,\n              40.015728339502004\n            ],\n            [\n              -108.68461550797593,\n              40.20515709262918\n            ],\n            [\n              -108.99103575578066,\n              40.20515709262918\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/co-water/\" data-mce-href=\"https://www.usgs.gov/centers/co-water/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Approach and Methods </li><li>Assessment of Sediment, Salinity, and Selenium Yields</li><li>Synthesis of Results and Next Steps</li><li>Summary</li><li>Acknowledgments </li><li>References Cited</li></ul>","publishedDate":"2024-08-13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Day, Natalie K. 0000-0002-8768-5705","orcid":"https://orcid.org/0000-0002-8768-5705","contributorId":207302,"corporation":false,"usgs":true,"family":"Day","given":"Natalie","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Preston, Todd M. 0000-0002-8812-9233","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":204676,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":909636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Longley, Patrick C. 0000-0001-8767-5577","orcid":"https://orcid.org/0000-0001-8767-5577","contributorId":268147,"corporation":false,"usgs":true,"family":"Longley","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909637,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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