{"pageNumber":"12","pageRowStart":"275","pageSize":"25","recordCount":10449,"records":[{"id":70266318,"text":"70266318 - 2025 - Evidence of extensive home range sharing among mother–daughter bobcat pairs in the wildland–urban interface of the Tucson Mountains","interactions":[],"lastModifiedDate":"2025-07-21T15:28:16.875928","indexId":"70266318","displayToPublicDate":"2024-12-05T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of extensive home range sharing among mother–daughter bobcat pairs in the wildland–urban interface of the Tucson Mountains","docAbstract":"<p>Urbanization impacts the structure and viability of wildlife populations. Some habitat generalists, such as bobcats (<i>Lynx rufus</i>), maintain populations at the intersection of wild and urban habitats (wildland urban interface, WUI), but impacts of urbanization on bobcat social structure are not well understood. Although commonly thought to establish exclusive home ranges among females, instances of mother-daughter home range sharing have been documented. We combined GPS localities with genomic relatedness inferences from double-digest restriction site associated DNA sequencing (ddRADseq) to investigate mother-daughter home range sharing in bobcats (<i>n</i> = 38) at the WUI in the Tucson Mountains, Arizona, USA. We found the highest relatedness among females, which showed stronger isolation by distance than males and the population as a whole. Using mother-daughter relationships inferred from pedigree reconstruction, we found extensive mother-daughter home range sharing, compared to other females. Every mother identified as having at least one daughter, shared home ranges with one daughter, while other confirmed daughters established adjacent home ranges. Our results provide substantial support for the mother-daughter home range sharing hypothesis, as well as evidence of spatiotemporal overlap between mothers and daughters, adding to the body of research complicating the solitary felid paradigm. These results additionally challenge the notion of home range partitioning by prior rights land tenure, suggesting a role of matrilineal land tenure in home range establishment of daughters. Habitat fragmentation due to human population growth and urbanization thus has the potential to alter landscape genetic structure and social dynamics in bobcats.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jhered/esae072","usgsCitation":"Payne, N., Andersen, D., Davis, R.A., Mollohan, C., Baldwin, K., LeCount, A., and Culver, M., 2025, Evidence of extensive home range sharing among mother–daughter bobcat pairs in the wildland–urban interface of the Tucson Mountains: Journal of Heredity, v. 116, no. 4, p. 408-421, https://doi.org/10.1093/jhered/esae072.","productDescription":"14 p.","startPage":"408","endPage":"421","ipdsId":"IP-164248","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485382,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Tucson Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.14529091840008,\n              32.259253006313045\n            ],\n            [\n              -111.14529091840008,\n              32.205866366622274\n            ],\n            [\n              -111.05090112090083,\n              32.205866366622274\n            ],\n            [\n              -111.05090112090083,\n              32.259253006313045\n            ],\n            [\n              -111.14529091840008,\n              32.259253006313045\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"116","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Payne, Natalie","contributorId":287191,"corporation":false,"usgs":false,"family":"Payne","given":"Natalie","email":"","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":935573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Desiree","contributorId":354400,"corporation":false,"usgs":false,"family":"Andersen","given":"Desiree","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":935574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Robert A.","contributorId":316401,"corporation":false,"usgs":false,"family":"Davis","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":26927,"text":"CSIRO, Australia","active":true,"usgs":false}],"preferred":false,"id":935575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mollohan, Cheryl","contributorId":354401,"corporation":false,"usgs":false,"family":"Mollohan","given":"Cheryl","affiliations":[{"id":84623,"text":"Bobcats in Tucson Research Project","active":true,"usgs":false}],"preferred":false,"id":935576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldwin, Kerry","contributorId":354402,"corporation":false,"usgs":false,"family":"Baldwin","given":"Kerry","affiliations":[{"id":84623,"text":"Bobcats in Tucson Research Project","active":true,"usgs":false}],"preferred":false,"id":935577,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LeCount, Albert L.","contributorId":354457,"corporation":false,"usgs":false,"family":"LeCount","given":"Albert L.","affiliations":[{"id":84623,"text":"Bobcats in Tucson Research Project","active":true,"usgs":false}],"preferred":false,"id":935723,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":935578,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261390,"text":"70261390 - 2025 - Food-web dynamics of a floodplain mosaic overshadow the effects of engineered logjams for Pacific salmon and steelhead","interactions":[],"lastModifiedDate":"2025-01-27T16:29:26.997188","indexId":"70261390","displayToPublicDate":"2024-12-03T08:54:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Food-web dynamics of a floodplain mosaic overshadow the effects of engineered logjams for Pacific salmon and steelhead","docAbstract":"<p><span>Food webs vary in space and time. The structure and spatial arrangement of food webs are theorized to mediate temporal dynamics of energy flow, but empirical corroboration in intermediate-scale landscapes is scarce. River-floodplain landscapes encompass a mosaic of aquatic habitat patches and food webs, supporting a variety of aquatic consumers of conservation concern. How the structure and productivity of these patch-scale food webs change through time, and how floodplain restoration influences their dynamics, are unevaluated. We measured productivity and food-web dynamics across a mosaic of main-channel and side-channel habitats of the Methow River, WA, USA, during two study years (2009–2010; 2015–2016) and examined how food webs that sustained juvenile anadromous salmonids responded to habitat manipulation. By quantifying temporal variation in secondary production and organic matter flow across nontreated river-floodplain habitats and comparing that variation to a side channel treated with engineered logjams, we jointly confronted spatial food-web theory and assessed whether food-web dynamics in the treated side channel exceeded natural variation exhibited in nontreated habitats. We observed that organic matter flow through the more complex, main-channel food web was similar between study years, whereas organic matter flow through the simpler, side-channel food webs changed up to ~4-fold. In the side channel treated with engineered logjams, production of benthic invertebrates and juvenile salmonids increased between study years by 2× and 4×, respectively; however, these changes did not surpass the temporal variation observed in untreated habitats. For instance, juvenile salmonid production rose 17-fold in one untreated side-channel habitat, and natural aggregation of large wood in another coincided with a shift to community and food-web dominance by juvenile salmonids. Our findings suggest that interannual dynamism in material flux across floodplain habitat mosaics is interrelated with patchiness in food-web complexity and may overshadow the ecological responses to localized river restoration. Although this dynamism may inhibit detection of the ecological effects of river restoration, it may also act to stabilize aquatic ecosystems and buffer salmon and other species of conservation concern in the long term. As such, natural, landscape-level patchiness and dynamism in food webs should be integrated into conceptual foundations of process-based, river restoration.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3076","usgsCitation":"Paris, J.C., Baxter, C., Bellmore, J.R., and Benjamin, J.R., 2025, Food-web dynamics of a floodplain mosaic overshadow the effects of engineered logjams for Pacific salmon and steelhead: Ecological Applications, v. 35, no. 1, e3076, 23 p., https://doi.org/10.1002/eap.3076.","productDescription":"e3076, 23 p.","ipdsId":"IP-151230","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":466729,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/eap.3076","text":"External Repository"},{"id":464883,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Methow River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.43926241854005,\n              48.51497614236396\n            ],\n            [\n              -120.38466701987723,\n              48.356895467806\n            ],\n            [\n              -120.23907929011094,\n              48.21979647888803\n            ],\n            [\n              -120.13716787927437,\n              48.051167461690994\n            ],\n            [\n              -119.86419088596195,\n              48.041434947321164\n            ],\n            [\n              -119.96428245017665,\n              48.46191072355339\n            ],\n            [\n              -120.12988849278594,\n              48.54871574139371\n            ],\n            [\n              -120.43926241854005,\n              48.51497614236396\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Paris, James C.","contributorId":346985,"corporation":false,"usgs":false,"family":"Paris","given":"James","email":"","middleInitial":"C.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":920465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baxter, Colden V.","contributorId":272243,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":56375,"text":"isu","active":true,"usgs":false}],"preferred":false,"id":920466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bellmore, James R 0000-0002-5140-6460","orcid":"https://orcid.org/0000-0002-5140-6460","contributorId":195609,"corporation":false,"usgs":false,"family":"Bellmore","given":"James","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":920467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":920468,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262122,"text":"70262122 - 2025 - Physical habitat is more than a sediment issue: A multi-dimensional habitat assessment indicates new approaches for river management","interactions":[],"lastModifiedDate":"2025-01-14T15:28:24.606373","indexId":"70262122","displayToPublicDate":"2024-12-02T08:20:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Physical habitat is more than a sediment issue: A multi-dimensional habitat assessment indicates new approaches for river management","docAbstract":"<p><span>Degraded physical habitat is a common stressor affecting river ecosystems and typically addressed in the United States (US) through a regulatory focus on sediment. However, a narrow regulatory focus on sediment may overlook other aspects of physical habitat and the processes for its creation, maintenance, and degradation. In addition, there exist few “ready-to-use” regional assessments of the multiple dimensions of physical habitat to better understand continuous patterns of condition and prioritize management efforts across a large spatial scale.</span></p><p><span>In this study, we use rapid habitat monitoring data to train a machine-learning (<i>i.e.,</i>&nbsp;random forest) model to predict twelve physical habitat metrics for nearly 120,000&nbsp;km of nontidal rivers and streams across the Chesapeake Bay watershed, US. We capture a range of habitat conditions driven by both natural variables and anthropogenic pressures. Covariation among habitat metrics indicated two major dimensions of habitat variation: 1) coarse bed substrate and hydromorphic heterogeneity and 2) bank stability and riparian condition. The model predicted localized changes from 2001 to 2019, and the predicted areas of deterioration roughly balanced improvements across the watershed, indicating little progress towards long-term watershed management goals.</span></p><p><span>To evaluate connections to regulatory and management endpoints, we compared our physical habitat predictions to paired estimates of sediment and flow alteration across the region. Sediment concentrations were greater in reaches with less bank stability and lower riparian quality; however, the relation was weak for coarse bed condition metrics, including embeddedness, which is frequently used for establishing regulatory sediment restrictions. For flow alteration, most habitat metrics had lower scores with altered flow metrics, but metrics of instream habitat heterogeneity and coarse substrate condition were most strongly affected. Increased flashy, high flows negatively affected most metrics, but coarse substrate metrics were also negatively affected by greater low flow severity.</span></p><p><span>This study highlights a potential disconnect between a narrow focus on regulatory sediment targets given the multiple dimensions and responses of physical habitat. A more holistic approach to physical habitat in management interventions – one that considers hydromorphic processes, diversity and variability in microhabitats, and explicit consideration of alterations to both low and high flows – may be warranted. By providing direct estimates of multiple aspects of physical habitat, this model can help support managers in the Chesapeake Bay watershed to better understand the range of habitat conditions, identify high-quality reaches for conservation, and target potential management actions tailored to localized conditions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2024.123139","usgsCitation":"Cashman, M.J., Lee, G., Staub, L.E., Katoski, M.P., and Maloney, K.O., 2025, Physical habitat is more than a sediment issue: A multi-dimensional habitat assessment indicates new approaches for river management: Journal of Environmental Management, v. 371, 123139, 19 p., https://doi.org/10.1016/j.jenvman.2024.123139.","productDescription":"123139, 19 p.","ipdsId":"IP-157208","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":466684,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2024.123139","text":"Publisher Index Page"},{"id":466215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New York, Pennsylvania, Virginia, West Virginia","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.03127676890098,\n              42.79659858105208\n            ],\n            [\n              -77.03127676890098,\n              36.869492666020236\n            ],\n            [\n              -75.61615482325107,\n              36.869492666020236\n            ],\n            [\n              -75.61615482325107,\n              42.79659858105208\n            ],\n            [\n              -77.03127676890098,\n              42.79659858105208\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"371","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cashman, Matthew J. 0000-0002-6635-4309","orcid":"https://orcid.org/0000-0002-6635-4309","contributorId":203315,"corporation":false,"usgs":true,"family":"Cashman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Gina 0009-0009-9821-9492","orcid":"https://orcid.org/0009-0009-9821-9492","contributorId":345186,"corporation":false,"usgs":false,"family":"Lee","given":"Gina","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":923159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staub, Leah Ellen 0000-0002-1460-6084","orcid":"https://orcid.org/0000-0002-1460-6084","contributorId":299035,"corporation":false,"usgs":true,"family":"Staub","given":"Leah","email":"","middleInitial":"Ellen","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katoski, Michelle P. 0000-0001-5550-0705","orcid":"https://orcid.org/0000-0001-5550-0705","contributorId":300555,"corporation":false,"usgs":true,"family":"Katoski","given":"Michelle","middleInitial":"P.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":923162,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271137,"text":"70271137 - 2025 - Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States","interactions":[],"lastModifiedDate":"2025-08-28T15:23:30.407508","indexId":"70271137","displayToPublicDate":"2024-11-24T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States","docAbstract":"<p><span>In water-limited dryland ecosystems of the Western United States, climate change is intensifying the impacts of heat, drought, and wildfire. Disturbances often lead to increased abundance of invasive species, in part, because dryland restoration and rehabilitation are inhibited by limited moisture and infrequent plant recruitment events. Information on ecological resilience to disturbance (recovery potential) and resistance to invasive species can aid in addressing these challenges by informing long-term restoration and conservation planning. Here, we quantified the impacts of projected future climate on ecological resilience and invasion resistance&nbsp;(R&amp;R) in the sagebrush region using novel algorithms based on ecologically relevant and climate-sensitive predictors of climate and ecological drought. We used a process-based ecohydrological model to project these predictor variables and resulting R&amp;R indicators for two future climate scenarios and 20 climate models. Results suggested widespread future R&amp;R decreases (24%–34% of the 1.16 million km</span><sup>2</sup><span>&nbsp;study area) that are generally consistent among climate models. Variables related to rising temperatures were most strongly linked to decreases in R&amp;R indicators. New continuous R&amp;R indices quantified responses to climate change; particularly useful for areas without projected change in the R&amp;R category but where R&amp;R still may decrease, for example, some of the areas with a historically low R&amp;R category. Additionally, we found that areas currently characterized as having high sagebrush ecological integrity had the largest areal percentage with expected declines in R&amp;R in the future, suggesting continuing declines in sagebrush ecosystems. One limitation of these R&amp;R projections was relatively novel future climatic conditions in particularly hot and dry areas that were underrepresented in the training data. Including more data from these areas in future updates could further improve the reliability of the projections. Overall, these projected future declines in R&amp;R highlight a growing challenge for natural resource managers in the region, and the resulting spatially explicit datasets provide information that can improve long-term risk assessments, prioritizations, and climate adaptation efforts.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3065","usgsCitation":"Schlaepfer, D.R., Chambers, J., Urza, A.K., Hanberry, B.B., Brown, J.L., Board, D.I., Campbell, S.B., Clause, K.J., Crist, M.R., and Bradford, J.B., 2025, Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States: Ecological Applications, v. 35, no. 1, e3065, 22 p., https://doi.org/10.1002/eap.3065.","productDescription":"e3065, 22 p.","ipdsId":"IP-158663","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.42794589746886,\n              49.014637994301935\n            ],\n            [\n              -119.90978156132392,\n              36.70243517332828\n            ],\n            [\n              -116.74229497105136,\n              35.570259676514176\n            ],\n            [\n              -111.57726471396826,\n              36.555490134719435\n            ],\n            [\n              -105.91156612900402,\n              33.92801205884358\n            ],\n            [\n              -102.5499905132619,\n              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0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":947551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Urza, Alexandra K. 0000-0001-9795-6735","orcid":"https://orcid.org/0000-0001-9795-6735","contributorId":261259,"corporation":false,"usgs":false,"family":"Urza","given":"Alexandra","email":"","middleInitial":"K.","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":947552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanberry, Brice B. 0000-0001-8657-9540","orcid":"https://orcid.org/0000-0001-8657-9540","contributorId":229364,"corporation":false,"usgs":false,"family":"Hanberry","given":"Brice","email":"","middleInitial":"B.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":947553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Jessi L. 0000-0002-6126-7951","orcid":"https://orcid.org/0000-0002-6126-7951","contributorId":360732,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","middleInitial":"L.","affiliations":[{"id":82408,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Board, David I. 0000-0001-6140-1260","orcid":"https://orcid.org/0000-0001-6140-1260","contributorId":360734,"corporation":false,"usgs":false,"family":"Board","given":"David","middleInitial":"I.","affiliations":[{"id":82408,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Campbell, Steven B. 0009-0002-9710-9688","orcid":"https://orcid.org/0009-0002-9710-9688","contributorId":360736,"corporation":false,"usgs":false,"family":"Campbell","given":"Steven","middleInitial":"B.","affiliations":[{"id":86091,"text":"USDA Natural Resources Conservation Service, West National Technology Support Center, Portland, Oregon U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947556,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clause, Karen J.","contributorId":360737,"corporation":false,"usgs":false,"family":"Clause","given":"Karen","middleInitial":"J.","affiliations":[{"id":86093,"text":"USDA Natural Resources Conservation Service, Pinedale, Wyoming U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947557,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Crist, Michele R. 0000-0002-3506-3402","orcid":"https://orcid.org/0000-0002-3506-3402","contributorId":360738,"corporation":false,"usgs":false,"family":"Crist","given":"Michele","middleInitial":"R.","affiliations":[{"id":86094,"text":"U.S. Bureau of Land Management, National Interagency Fire Center, Boise, Idaho","active":true,"usgs":false}],"preferred":false,"id":947558,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":222784,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947559,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70263375,"text":"70263375 - 2025 - Timing and geometry of the Chemehuevi Formation reveal a late Pleistocene sediment pulse into the Lower Colorado River","interactions":[],"lastModifiedDate":"2025-03-11T15:02:17.928143","indexId":"70263375","displayToPublicDate":"2024-10-28T16:20:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Timing and geometry of the Chemehuevi Formation reveal a late Pleistocene sediment pulse into the Lower Colorado River","docAbstract":"<p>The Chemehuevi Formation is a distinctive 50−150-m-thick wedge-shaped Pleistocene sedimentary unit deposited by the Colorado River. It lines the perimeters of the river’s floodplains and bedrock canyons for more than 600 km between the mouth of the Grand Canyon and the delta region in the Gulf of California. The formation is composed of a basal tan to light-yellowish-brown and pale-orange mud-dominated facies overlain and interbedded by a light-yellow-brown sand-dominated facies. The unit is one of two extensively exposed aggradational packages in the Lower Colorado River corridor, in addition to a series of other smaller alluvial terrace deposits. The Chemehuevi Formation appears to represent the response of a fully integrated Colorado River system to a significant perturbation, in contrast to the Bullhead Alluvium, which is likely a unique result of Pliocene river integration. The aggradation of the Chemehuevi Formation in the Lower Colorado River corridor may be similarly due to a unique event in the Colorado River system, or it may instead be a well-preserved sedimentary sequence recording typical behavior of the Colorado River below the Grand Canyon in the late Pleistocene. As such, multiple causal mechanisms have been proposed, but no study to date has conclusively explained the Chemehuevi Formation.</p><p>To help resolve its timing, duration, and origin, we applied post-infrared infrared stimulated luminescence, carbonate U-Th series, and zircon sensitive high-resolution ion microprobe U-Th series geochronology to determine the ages of key exposures of the unit over a wide spatial area. These new data demonstrate that the Chemehuevi Formation was deposited ca. 110−90 ka. The depositional ages collectively overlap, suggesting that deposition occurred rapidly relative to the resolution of the geochronometers. The new depositional timing coincides with a shift from glacial to interglacial conditions after the marine isotope stage 5-6 transition. This observation is consistent with a climate-induced sediment pulse as a causal mechanism, yet correlations with similar deposits in the Colorado River headwaters or in neighboring catchments appear elusive. Potentially, climate transitions between glacial and interglacial periods induced a sediment pulse from hillslopes of the Colorado River system that resulted in the Chemehuevi Formation. An alternative or additional explanation is that the Chemehuevi Formation represents release of lava dam−impounded sediment in the Grand Canyon. The surface geometry of the Chemehuevi Formation projects upstream to the approximate location of lava dams, and the largest possible lava dam impoundment (the Upper Prospect dam) is comparable in volume to the formation. The lava dam hypothesis appears to be a possible explanation for the Chemehuevi Formation. However, tying deposition to a specific lava dam or series of lava dams remains challenging due to discrepancies in timing and volume. The combined effects of a series of lava dams may have led to the Chemehuevi Formation, as the last Pleistocene lava dam eruption coincides with the onset of deposition. Alternatively, the formation may result from the combined effects of both regional climate transitions and the lava dams that created a transient reservoir to compound a climate transition−driven sediment pulse. The geochronologic data presented here do not allow us to distinguish between the lava dam or climate transition hypotheses but will need to be reconciled with any future proposed depositional model.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37579.1","usgsCitation":"Gray, H., House, K., Hudson, A.M., Vazquez, J.A., Crow, R.S., Primus, M., Mahan, S.A., Rittenour, T.M., and Howard, K., 2025, Timing and geometry of the Chemehuevi Formation reveal a late Pleistocene sediment pulse into the Lower Colorado River: GSA Bulletin, v. 137, no. 3-4, p. 1582-1606, https://doi.org/10.1130/B37579.1.","productDescription":"25 p.","startPage":"1582","endPage":"1606","ipdsId":"IP-156841","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":496379,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b37579.1","text":"Publisher Index Page"},{"id":481869,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Lower Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.04673343546492,\n              36.093655050676304\n            ],\n            [\n              -115.04673343546492,\n              32.810604750099\n            ],\n            [\n              -114.08658173380047,\n              32.810604750099\n            ],\n            [\n              -114.08658173380047,\n              36.093655050676304\n            ],\n            [\n              -115.04673343546492,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":926690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":926692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":926940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":926694,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Primus, Miriam","contributorId":350761,"corporation":false,"usgs":false,"family":"Primus","given":"Miriam","affiliations":[],"preferred":false,"id":926941,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":926695,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rittenour, Tammy M.","contributorId":140755,"corporation":false,"usgs":false,"family":"Rittenour","given":"Tammy","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":926696,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Howard, Keith A. 0000-0002-6462-2947","orcid":"https://orcid.org/0000-0002-6462-2947","contributorId":264832,"corporation":false,"usgs":true,"family":"Howard","given":"Keith A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science 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,{"id":70260476,"text":"70260476 - 2025 - Mangrove freeze resistance and resilience across a tropical-temperate transitional zone","interactions":[],"lastModifiedDate":"2025-01-13T16:17:58.74934","indexId":"70260476","displayToPublicDate":"2024-10-27T11:28:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Mangrove freeze resistance and resilience across a tropical-temperate transitional zone","docAbstract":"<ol class=\"\"><li>Freeze events govern the distribution and structure of mangrove ecosystems, especially in tropical-temperate transitional zones. Understanding mangrove responses to freezing is crucial for predicting their poleward expansion under climate change. However, there is a need for field-based measurements of mangrove freeze resistance and resilience.</li><li>After an extreme winter storm in December 2022, we measured mangrove post-freeze damage and recovery (January and November 2023), building on a pre-freeze baseline assessment conducted in July 2022 across 12 sites along the temperature gradient of Florida's Gulf of Mexico coast (USA).</li><li>Low-temperature thresholds for leaf damage to<span>&nbsp;</span><i>Avicennia germinans</i>,<span>&nbsp;</span><i>Rhizophora mangle</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Laguncularia racemosa</i><span>&nbsp;</span>were quantified near −6, −4 and − 4°C, respectively. Thresholds for mortality were found to be near −6 to −7°C for<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>and −4 to −5°C for<span>&nbsp;</span><i>R. mangle</i>. A threshold for loss of reproductivity in<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>was identified near −6 to −7°C. Resprouting was observed in all three species but limited to just one individual for<span>&nbsp;</span><i>R. mangle</i>. Surviving<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>resprouted vigorously and had the greatest number of resprout branches, which was proportional to leaf damage. Tall<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>had a higher resprout percentage than short trees.</li><li>Strata-specific differences in freeze damage were most pronounced for<span>&nbsp;</span><i>R. mangle</i>, with higher damage in tall versus short trees, while no difference was found between<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>strata. These results suggest that<span>&nbsp;</span><i>R. mangle</i><span>&nbsp;</span>population recovery may depend on the growth of short trees, while<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>can recover from all strata.</li><li>Minimum air temperature was strongly correlated with mangrove height and above-ground biomass. Projections of future minimum temperature and species-specific freeze degree days predict warming winters, suggesting further mangrove development and range expansion under climate change.</li><li><i>Synthesis</i>: Collectively, our study advances understanding of mangrove responses to freezing and identifies low-temperature thresholds for each species, aiding predictions of mangrove range expansion.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.14440","usgsCitation":"Kang, Y., Kaplan, D.A., and Osland, M., 2025, Mangrove freeze resistance and resilience across a tropical-temperate transitional zone: Journal of Ecology, v. 113, no. 1, p. 94-111, https://doi.org/10.1111/1365-2745.14440.","productDescription":"18 p.","startPage":"94","endPage":"111","ipdsId":"IP-164936","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466689,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.14440","text":"Publisher Index Page"},{"id":463598,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.40290069342466,\n              25.906521640989908\n            ],\n            [\n              -82.06256075990322,\n              27.41567818911821\n            ],\n            [\n              -82.64187427689278,\n              29.308784339959274\n            ],\n            [\n              -84.00595139719567,\n              30.29382609317352\n            ],\n            [\n              -85.41064997045446,\n              29.868114995032613\n            ],\n            [\n              -85.23752805781119,\n              29.524883223482092\n            ],\n            [\n              -84.12633249772112,\n              29.945685884568448\n            ],\n            [\n              -83.24817782103288,\n              29.151403640362943\n            ],\n            [\n              -82.89217091435529,\n              28.697850175197004\n            ],\n            [\n              -82.947239814896,\n              28.128248775348467\n            ],\n            [\n              -82.89606302804007,\n              27.598776022757306\n            ],\n            [\n              -82.33290104307302,\n              26.677685084749825\n            ],\n            [\n              -81.65457461322852,\n              25.77388340579192\n            ],\n            [\n              -81.40290069342466,\n              25.906521640989908\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"113","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Kang, Yiyang","contributorId":305365,"corporation":false,"usgs":false,"family":"Kang","given":"Yiyang","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":917777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaplan, David A.","contributorId":218915,"corporation":false,"usgs":false,"family":"Kaplan","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":39937,"text":"University of Florida, Gainesville, FL USA","active":true,"usgs":false}],"preferred":false,"id":917778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":222814,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":917779,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70260910,"text":"70260910 - 2025 - Comparative behavioral responses of grass carp (Ctenopharyngodon idella), bighead carp (Hypophthalmichthys nobilis), and silver carp (H. molitrix) to free amino acids in water","interactions":[],"lastModifiedDate":"2025-02-24T16:49:38.561292","indexId":"70260910","displayToPublicDate":"2024-10-22T09:51:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparative behavioral responses of grass carp (<i>Ctenopharyngodon idella</i>), bighead carp (<i>Hypophthalmichthys nobilis</i>), and silver carp (<i>H. molitrix</i>) to free amino acids in water","title":"Comparative behavioral responses of grass carp (Ctenopharyngodon idella), bighead carp (Hypophthalmichthys nobilis), and silver carp (H. molitrix) to free amino acids in water","docAbstract":"<p><span>Control and elimination of invasive fishes, like carps (Order Cypriniformes), may be possible by using chemical stimuli to congregate them for removal. To this end, we tested behavioral responses of grass (</span><i>Ctenopharyngodon idella</i><span>), bighead (</span><i>Hypophthalmichthys nobilis</i><span>), and silver carp (</span><i>H. molitrix</i><span>) to L-alanine, L-arginine, L-glutamic acid, and L-aspartic acid. In grass carp, the first three amino acids have been shown to be beneficial for growth, and all four produce a strong olfactory response in this species. This study used pairs of conspecific fish in a video-recorded, sound-insulated, clear acrylic, tube-shaped tank; during trials, an amino acid stimulus was delivered at one end of that tank. Changes in space use, velocity, and acceleration across all amino acids differed significantly among species. Changes in space use by grass carp indicated avoidance of only two amino acids, L-alanine and L-aspartic acid. There was no evidence for attraction to amino acids for grass or silver carp. For bighead carp, change in spatial use on exposure to amino acids indicated attraction across the four amino acids. This attraction was enhanced by lowered velocity. Our results suggested that olfactory sensitivity does not directly translate to behavioral responses. Other sensory cues, for example tactile, visual, and/or taste, may mediate the selective foraging of grass carp. Amino acids may serve as a better olfactory attractant for bighead carp compared to grass or silver carp.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.15964","usgsCitation":"Wildhaber, M.L., Beaman, Z.D., Ditter, K.K., and West, B.M., 2025, Comparative behavioral responses of grass carp (Ctenopharyngodon idella), bighead carp (Hypophthalmichthys nobilis), and silver carp (H. molitrix) to free amino acids in water: Journal of Fish Biology, v. 106, no. 2, p. 481-491, https://doi.org/10.1111/jfb.15964.","productDescription":"11 p.","startPage":"481","endPage":"491","ipdsId":"IP-166482","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":464030,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":918489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaman, Zachary D 0000-0001-9649-1585","orcid":"https://orcid.org/0000-0001-9649-1585","contributorId":312457,"corporation":false,"usgs":true,"family":"Beaman","given":"Zachary","email":"","middleInitial":"D","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":918490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ditter, Karlie K 0000-0001-8970-2022","orcid":"https://orcid.org/0000-0001-8970-2022","contributorId":312455,"corporation":false,"usgs":true,"family":"Ditter","given":"Karlie","email":"","middleInitial":"K","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":918491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, Benjamin M 0000-0001-8355-0013","orcid":"https://orcid.org/0000-0001-8355-0013","contributorId":298588,"corporation":false,"usgs":true,"family":"West","given":"Benjamin","email":"","middleInitial":"M","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":918492,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70259431,"text":"70259431 - 2025 - Macroinvertebrate community responses to disturbance in a fragmented river with contrasting legacies of alteration","interactions":[],"lastModifiedDate":"2025-03-11T14:46:05.62938","indexId":"70259431","displayToPublicDate":"2024-10-01T06:42:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Macroinvertebrate community responses to disturbance in a fragmented river with contrasting legacies of alteration","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Flow is a critical factor determining the riverine ecosystem structure and function. Widespread hydrologic alteration, however, has impacted the ecological integrity of rivers in ways that are not well understood, including responses of biological communities to increasingly frequent and severe climatic disturbances. Our study compared the responses of invertebrate communities on woody debris to large flooding and extreme drought in two highly contrasting segments of an impaired low-gradient river. The upstream segment, which according to previous research has higher<span>&nbsp;</span><i>α</i>-diversity and production of large-bodied and sensitive invertebrates, maintained higher flows and longitudinal connectivity throughout the 4-year study. Communities in this upper segment resembled one another among sites (lower spatial turnover) but experienced greater temporal shifts in composition associated with hydrological disturbances. Conversely, invertebrate communities in the highly altered downstream segment, which is impaired by reduced flow, sedimentation, and hypoxia, were composed of smaller-bodied and pollution-tolerant taxa with lower<span>&nbsp;</span><i>α</i>-diversity. Unlike the upper segment, communities were patchily distributed among sites (higher spatial turnover), which made it more difficult to detect system-wide temporal variation in composition throughout the study. Our study underscores the benefit of including measures of connectivity and spatial heterogeneity when assessing the ecological integrity of lotic systems. Understanding the system-wide response to disturbances across longer time frames can help better predict and mitigate the impacts of climate change on ecosystem integrity in degraded rivers.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4385","usgsCitation":"Baumann, K.A., Scholl, E.A., Rantala, H.M., and Whiles, M., 2025, Macroinvertebrate community responses to disturbance in a fragmented river with contrasting legacies of alteration: River Research and Applications, v. 41, no. 3, p. 638-651, https://doi.org/10.1002/rra.4385.","productDescription":"14 p.","startPage":"638","endPage":"651","ipdsId":"IP-159797","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":462678,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baumann, Karen A.","contributorId":345004,"corporation":false,"usgs":false,"family":"Baumann","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":82461,"text":"Dept of Zoology, Center for Ecology, and Cooperative Wildlife Research Laboratory Southern Illinois University, Carbondale, IL; School of Freshwater Sciences, University of Wisconsin Milwaukee, 600 E. Greenfield Ave., Milwaukee, WI.","active":true,"usgs":false}],"preferred":false,"id":915254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scholl, Eric Arthur 0000-0003-3028-9979","orcid":"https://orcid.org/0000-0003-3028-9979","contributorId":329480,"corporation":false,"usgs":true,"family":"Scholl","given":"Eric","email":"","middleInitial":"Arthur","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":915255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rantala, Heidi M.","contributorId":330595,"corporation":false,"usgs":false,"family":"Rantala","given":"Heidi","email":"","middleInitial":"M.","affiliations":[{"id":65315,"text":"MN DNR","active":true,"usgs":false}],"preferred":false,"id":915256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whiles, Matt R.","contributorId":335243,"corporation":false,"usgs":false,"family":"Whiles","given":"Matt R.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":915257,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70258368,"text":"70258368 - 2025 - Quantitative support for the benefits of proactive management for wildlife disease control","interactions":[],"lastModifiedDate":"2025-02-11T15:40:16.139418","indexId":"70258368","displayToPublicDate":"2024-08-26T09:01:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative support for the benefits of proactive management for wildlife disease control","docAbstract":"<p><span>Finding effective pathogen mitigation strategies is one of the biggest challenges humans face today. In the context of wildlife, emerging infectious diseases have repeatedly caused widespread host morbidity and population declines of numerous taxa. In areas yet unaffected by a pathogen, a proactive management approach has the potential to minimize or prevent host mortality. However, typically critical information on disease dynamics in a novel host system is lacking, empirical evidence on efficacy of management interventions is limited, and there is a lack of validated predictive models. As such, quantitative support for identifying effective management interventions is largely absent, and the opportunity for proactive management is often missed. We considered the potential invasion of the chytrid fungus,&nbsp;</span><i>Batrachochytrium salamandrivorans</i><span>&nbsp;(Bsal), whose expected emergence in North America poses a severe threat to hundreds of salamander species in this global salamander biodiversity hotspot. We developed and parameterized a dynamic multistate occupancy model to forecast host and pathogen occurrence, following expected emergence of the pathogen, and evaluated the response of salamander populations to different management scenarios.&nbsp;Our model forecasted that taking no action is expected to be catastrophic to salamander populations. Proactive action was predicted to maximize host occupancy outcomes relative to wait-and-see reactive management, thus providing quantitative support for proactive management opportunities. The eradication of Bsal was unlikely under all the evaluated management options. Contrary to our expectations, even early pathogen detection had little effect on Bsal or host occupancy outcomes. Our results provide quantitative support that proactive management is the optimal strategy for promoting persistence of disease-threatened salamander populations. Our approach fills a critical gap by defining a framework for evaluating management options prior to pathogen invasion and can thus serve as a template for addressing novel disease threats that jeopardize wildlife and human health.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.14363","usgsCitation":"Bletz, M., Campbell Grant, E.H., and DiRenzo, G.V., 2025, Quantitative support for the benefits of proactive management for wildlife disease control: Conservation Biology, v. 39, no. 1, e14363, 15 p., https://doi.org/10.1111/cobi.14363.","productDescription":"e14363, 15 p.","ipdsId":"IP-152843","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439191,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14363","text":"Publisher Index Page"},{"id":434764,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bletz, Molly","contributorId":344177,"corporation":false,"usgs":false,"family":"Bletz","given":"Molly","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":913080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":913081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":913082,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263329,"text":"70263329 - 2025 - Inconsistent transcriptomic responses to hexabromocyclododecane in Japanese quail: A comparative analysis of results from four different study designs","interactions":[],"lastModifiedDate":"2025-09-09T14:34:31.082546","indexId":"70263329","displayToPublicDate":"2024-07-29T10:20:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Inconsistent transcriptomic responses to hexabromocyclododecane in Japanese quail: A comparative analysis of results from four different study designs","docAbstract":"<p><span>Efforts to use transcriptomics for toxicity testing have classically relied on the assumption that chemicals consistently produce characteristic transcriptomic signatures that are reflective of their mechanism of action. However, the degree to which transcriptomic responses are conserved across different test methodologies has seldom been explored. With increasing regulatory demand for New Approach Methods (NAMs) that use alternatives to animal models and high‐content approaches such as transcriptomics, this type of comparative analysis is needed. We examined whether common genes are dysregulated in Japanese quail (</span><i>Coturnix japonica</i><span>) liver following sublethal exposure to the flame retardant hexabromocyclododecane (HBCD), when life stage and test methodologies differ. The four exposure scenarios included one NAM: Study 1—early‐life stage (ELS) exposure via a single egg injection, and three more traditional approaches; Study 2—adult exposure using a single oral gavage; Study 3—ELS exposure via maternal deposition after adults were exposed through their diet for 7 weeks; and Study 4—ELS exposure via maternal deposition and re‐exposure of nestlings through their diet for 17 weeks. The total number of differentially expressed genes (DEGs) detected in each study was variable (Study 1, 550; Study 2, 192; Study 3, 1; Study 4, 3) with only 19 DEGs shared between Studies 1 and 2. Factors contributing to this lack of concordance are discussed and include differences in dose, but also quail strain, exposure route, sampling time, and HBCD stereoisomer composition. The results provide a detailed overview of the transcriptomic responses to HBCD at different life stages and routes of exposure in a model avian species and highlight certain challenges and limits of comparing transcriptomics across different test methodologies.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1002/etc.5955","usgsCitation":"Béziers, P., Legrand, E., Boulanger, E., Basu, N., Ewald, J., Henry, P.F., Hecker, M., Xia, J., Karouna-Renier, N., Crump, D., and Head, J.A., 2025, Inconsistent transcriptomic responses to hexabromocyclododecane in Japanese quail: A comparative analysis of results from four different study designs: Environmental Toxicology and Chemistry, v. 44, no. 9, p. 2524-2534, https://doi.org/10.1002/etc.5955.","productDescription":"11 p.","startPage":"2524","endPage":"2534","ipdsId":"IP-141285","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":481753,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487625,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5955","text":"Publisher Index Page"}],"volume":"44","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Béziers, Paul 0000-0003-4602-0026","orcid":"https://orcid.org/0000-0003-4602-0026","contributorId":350604,"corporation":false,"usgs":false,"family":"Béziers","given":"Paul","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legrand, Elena 0000-0002-0473-2220","orcid":"https://orcid.org/0000-0002-0473-2220","contributorId":350605,"corporation":false,"usgs":false,"family":"Legrand","given":"Elena","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boulanger, Emily 0000-0003-0017-0117","orcid":"https://orcid.org/0000-0003-0017-0117","contributorId":350606,"corporation":false,"usgs":false,"family":"Boulanger","given":"Emily","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Basu, Niladri","contributorId":60085,"corporation":false,"usgs":false,"family":"Basu","given":"Niladri","email":"","affiliations":[],"preferred":false,"id":926410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ewald, Jessica","contributorId":350607,"corporation":false,"usgs":false,"family":"Ewald","given":"Jessica","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926411,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926412,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hecker, Marcus 0000-0002-7237-6192","orcid":"https://orcid.org/0000-0002-7237-6192","contributorId":350608,"corporation":false,"usgs":false,"family":"Hecker","given":"Marcus","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":926413,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xia, Jianguo","contributorId":350669,"corporation":false,"usgs":false,"family":"Xia","given":"Jianguo","affiliations":[],"preferred":false,"id":926414,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926415,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crump, Doug 0000-0003-2915-4989","orcid":"https://orcid.org/0000-0003-2915-4989","contributorId":350610,"corporation":false,"usgs":false,"family":"Crump","given":"Doug","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":926416,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Head, Jessica A.","contributorId":206108,"corporation":false,"usgs":false,"family":"Head","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926417,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70262066,"text":"70262066 - 2025 - Comparing the efficacy of two immobilization drug combinations for the chemical restraint of bobcats (Lynx rufus)","interactions":[],"lastModifiedDate":"2025-01-10T17:24:23.544362","indexId":"70262066","displayToPublicDate":"2024-01-12T11:20:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparing the efficacy of two immobilization drug combinations for the chemical restraint of bobcats (<i>Lynx rufus</i>)","title":"Comparing the efficacy of two immobilization drug combinations for the chemical restraint of bobcats (Lynx rufus)","docAbstract":"<p><span>Chemical immobilization agents that provide rapid induction time, short duration of action, wide margin of safety, and postreversal recovery are important attributes to the handling process of immobilized animals. We evaluated differences in induction, recovery, and physiologic parameters in 23 (13 female, nine adults and four yearlings; 10 male, nine adults and one yearling) free-ranging bobcats (</span><i>Lynx rufus</i><span>) chemically immobilized with an intramuscular combination of ketamine (10 mg/kg) and xylazine (KX; 1.5 mg/kg;&nbsp;</span><i>n</i><span>=11) or a combination of butorphanol (0.8 mg/ kg), azaperone (0.27 mg/kg), and medetomidine (BAM; 0.32 mg/kg;&nbsp;</span><i>n</i><span>=12). Induction parameters, time to first effect, hemoglobin oxygen saturation, and anesthesia between bobcats administered KX and BAM were similar. Pulse rate was significantly higher for KX than for BAM. Time to standing and full recovery after reversal were faster for bobcats administered BAM than KX. Six of 11 (55%) bobcats given KX were effectively immobilized with a single injection, and five required additional drugs to allow adequate time for processing. Of 12 bobcats given BAM, six (50%) were effectively immobilized with a single injection, three (25%) individuals were not completely immobilized and required additional doses to allow adequate time for processing, and three (25%) required additional doses after complete arousal during processing. We found that BAM provided reduced sedation and processing times (&lt;30 min), whereas KX provided extended sedation and processing times beyond 30 min. We suggest that researchers increase initial BAM drug volumes for yearling and adult bobcats at time of processing and consider taking appropriate safety precautions when handling free-ranging bobcats.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/jwd-d-22-00012","usgsCitation":"Jacques, C., Klaver, R.W., DePerno, C.S., and Rockhill, A.P., 2025, Comparing the efficacy of two immobilization drug combinations for the chemical restraint of bobcats (Lynx rufus): Journal of Wildlife Diseases, v. 60, no. 1, p. 86-94, https://doi.org/10.7589/jwd-d-22-00012.","productDescription":"9 p.","startPage":"86","endPage":"94","ipdsId":"IP-120144","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jacques, Christopher N.","contributorId":348104,"corporation":false,"usgs":false,"family":"Jacques","given":"Christopher N.","affiliations":[{"id":49637,"text":"Western Illinois University","active":true,"usgs":false}],"preferred":false,"id":922942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":922941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DePerno, Christopher S.","contributorId":10327,"corporation":false,"usgs":true,"family":"DePerno","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":922943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rockhill, Aimee P.","contributorId":221731,"corporation":false,"usgs":false,"family":"Rockhill","given":"Aimee","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":922944,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70239251,"text":"70239251 - 2025 - Haploid gynogens facilitate disomic marker development in paleotetraploid sturgeons","interactions":[],"lastModifiedDate":"2025-06-12T15:08:25.025471","indexId":"70239251","displayToPublicDate":"2022-12-01T06:46:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Haploid gynogens facilitate disomic marker development in paleotetraploid sturgeons","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Acipenseriformes (sturgeons and paddlefishes) are of substantial conservation concern, and development of genomic resources for these species is difficult due to past whole genome duplication. Development of disomic markers for polyploid organisms can be challenging due to difficulty in resolving alleles at a single locus from those among duplicated loci. In this study, we detail the development of disomic markers for the endangered pallid sturgeon (<i>Scaphirhynchus albus</i>) found in North America. One of the strategies for pallid sturgeon conservation is to stock U.S. rivers with offspring of pure pallid sturgeon, but introgression with the sympatric shovelnose sturgeon (<i>S.&nbsp;platorynchus</i>) threatens pallid sturgeon genetic integrity. Currently, 19 microsatellite loci are used to differentiate between both species and their hybrids, but the markers are insufficient to robustly identify backcrosses. We performed double digest restriction site-associated DNA sequencing (ddRADseq) on shovelnose sturgeon haploid gynogens to produce a reduced-representation genomic reference. Contiguous sequences that were heterozygous within a haploid individual were flagged as potentially encompassing multiple loci. Approximately 60 individuals of each species from two management units were sequenced, and reads were mapped to the haploid reference to identify single nucleotide polymorphisms (SNPs) at individual loci. The final data set contained 11,082 microhaplotyped loci which offer at least an order of magnitude greater resolution for species discrimination than the current panel of 19 microsatellites. These markers will be used to examine a larger sample of<span>&nbsp;</span><i>Scaphirhynchus</i><span>&nbsp;</span>individuals throughout their ranges to determine the extent and trajectory of hybridization.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.13742","usgsCitation":"Flamio, R., Swift, D.G., Portnoy, D.S., Chojnacki, K., Delonay, A.J., Powell, J., Braaten, P., and Heist, E.J., 2025, Haploid gynogens facilitate disomic marker development in paleotetraploid sturgeons: Molecular Ecology Resources, v. 25, no. 5, e13742, 13 p., https://doi.org/10.1111/1755-0998.13742.","productDescription":"e13742, 13 p.","ipdsId":"IP-140684","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":411425,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Flamio, Richard Jr.","contributorId":300602,"corporation":false,"usgs":false,"family":"Flamio","given":"Richard","suffix":"Jr.","email":"","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":860910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swift, Dominic G","contributorId":300604,"corporation":false,"usgs":false,"family":"Swift","given":"Dominic","email":"","middleInitial":"G","affiliations":[{"id":65209,"text":"Department of Life Sciences, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":860911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Portnoy, David S","contributorId":300605,"corporation":false,"usgs":false,"family":"Portnoy","given":"David","email":"","middleInitial":"S","affiliations":[{"id":65209,"text":"Department of Life Sciences, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":860912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chojnacki, Kimberly 0000-0001-6091-3977 kchojnacki@usgs.gov","orcid":"https://orcid.org/0000-0001-6091-3977","contributorId":221080,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":860913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLonay, Aaron J. 0000-0002-3752-2799 adelonay@usgs.gov","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":2725,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"adelonay@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":860914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Powell, Jeffrey","contributorId":253128,"corporation":false,"usgs":false,"family":"Powell","given":"Jeffrey","affiliations":[{"id":50486,"text":"U.S. Fish and Wildlife Service, Gavins Point National Fish Hatchery, Yankton, SD","active":true,"usgs":false}],"preferred":false,"id":860915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Braaten, Patrick 0000-0003-3362-420X pbraaten@usgs.gov","orcid":"https://orcid.org/0000-0003-3362-420X","contributorId":152682,"corporation":false,"usgs":true,"family":"Braaten","given":"Patrick","email":"pbraaten@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":860916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Heist, Edward J.","contributorId":221082,"corporation":false,"usgs":false,"family":"Heist","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":40317,"text":"Southern Illinois University, Fisheries and Illinois Aquaculture Center","active":true,"usgs":false}],"preferred":false,"id":860917,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70267308,"text":"70267308 - 2025 - Strontium isotopes reveal diverse life history variations, migration patterns, and habitat use for Broad Whitefish (Coregonus nasus) in Arctic, Alaska","interactions":[],"lastModifiedDate":"2025-05-21T13:39:20.268062","indexId":"70267308","displayToPublicDate":"2022-05-02T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Strontium isotopes reveal diverse life history variations, migration patterns, and habitat use for Broad Whitefish (Coregonus nasus) in Arctic, Alaska","docAbstract":"<p><span>Conservation of Arctic fish species is challenging partly due to our limited ability to track fish through time and space, which constrains our understanding of life history diversity and lifelong habitat use. Broad Whitefish (</span><i>Coregonus nasus</i><span>) is an important subsistence species for Alaska’s Arctic Indigenous communities, yet little is known about life history diversity, migration patterns, and freshwater habitat use. Using laser ablation Sr isotope otolith microchemistry, we analyzed Colville River Broad Whitefish&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr chronologies (n = 61) to reconstruct movements and habitat use across the lives of individual fish. We found evidence of at least six life history types, including three anadromous types, one semi-anadromous type, and two nonanadromous types. Anadromous life history types comprised a large proportion of individuals sampled (collectively, 59%) and most of these (59%) migrated to sea between ages 0–2 and spent varying durations at sea. The semi-anadromous life history type comprised 28% of samples and entered marine habitat as larvae. Nonanadromous life history types comprised the remainder (collectively, 13%). Otolith&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr data from juvenile and adult freshwater stages suggest that habitat use changed in association with age, seasons, and life history strategies. This information on Broad Whitefish life histories and habitat use across time and space will help managers and conservation planners better understand the risks of anthropogenic impacts and help conserve this vital subsistence resource.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0259921","usgsCitation":"Leppi, J., Rinella, D., Wipfli, M.S., Brown, R., Spaleta, K., and Whitman, M., 2025, Strontium isotopes reveal diverse life history variations, migration patterns, and habitat use for Broad Whitefish (Coregonus nasus) in Arctic, Alaska: PLoS ONE, v. 17, no. 5, e0259921, 23 p., https://doi.org/10.1371/journal.pone.0259921.","productDescription":"e0259921, 23 p.","ipdsId":"IP-130266","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489729,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0259921","text":"Publisher Index Page"},{"id":486220,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Central Beaufort Sea region study area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -165.4844861317618,\n              71.33547921153408\n            ],\n            [\n              -165.4844861317618,\n              67.76058936865724\n            ],\n            [\n              -141.04895393727227,\n              67.76058936865724\n            ],\n            [\n              -141.04895393727227,\n              71.33547921153408\n            ],\n            [\n              -165.4844861317618,\n              71.33547921153408\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Leppi, Jason C.","contributorId":355578,"corporation":false,"usgs":false,"family":"Leppi","given":"Jason C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":937682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rinella, Daniel J.","contributorId":355579,"corporation":false,"usgs":false,"family":"Rinella","given":"Daniel J.","affiliations":[{"id":81169,"text":"Fish and Wildlife Field Conservation Office","active":true,"usgs":false}],"preferred":false,"id":937683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":937684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Randy J.","contributorId":355580,"corporation":false,"usgs":false,"family":"Brown","given":"Randy J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":937685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spaleta, Karen J.","contributorId":355581,"corporation":false,"usgs":false,"family":"Spaleta","given":"Karen J.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":937686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitman, Matthew S.","contributorId":355582,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew S.","affiliations":[{"id":84781,"text":"Arctic District Office","active":true,"usgs":false}],"preferred":false,"id":937687,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70262048,"text":"70262048 - 2025 - Habitat management for stopover and breeding songbird communities along rights-of-way in forest-dominated landscapes","interactions":[],"lastModifiedDate":"2025-01-10T16:48:44.753399","indexId":"70262048","displayToPublicDate":"2022-03-17T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Habitat management for stopover and breeding songbird communities along rights-of-way in forest-dominated landscapes","docAbstract":"<p>The proliferation of energy rights-of-way (pipelines and powerlines; ROWs) in the central Appalachian region has prompted wildlife management agencies to consider ways to use these features to manage and conserve at-risk songbird species. However, little empirical evidence exists regarding best management strategies to enhance habitat surrounding ROWs for the songbird community during stopover or breeding periods. We used a before-after-control-impact design to study cut-back border (linear tree cuttings along abrupt forest edges) harvest width (15 m, 30 m, and 45 m wide into the forest) and harvest intensity (14 m<sup>2</sup>/ha and 4.5 m<sup>2</sup>/ha basal area retention) prescriptions along ROWs and assessed their effects on mature forest and young forest songbird species and avian guilds (forest gap habitat, forest interior habitat, young forest habitat, and species of regional conservation priority) up to two years after treatment throughout West Virginia. Species richness during the spring stopover period initially decreased at one-year post-treatment but returned to pre-treatment levels by two-year post-treatment. Breeding season responses to cut-back border treatments varied across harvest width, harvest intensity, and time, but all responses of focal species abundance and guild richness were neutral or positive. Cut-back border harvest intensity had a stronger influence (i.e., more positive responses) than harvest width on breeding focal species abundances and guild richness. For harvest intensity, the more intense, 4.5 m<sup>2</sup>/ha retention treatment had a stronger influence (i.e., more positive responses) than the less intense, 14 m<sup>2</sup>/ha retention treatment. For harvest width, the narrowest treatment (15-m wide) had the strongest influence (i.e., more positive responses) of all width treatments, followed by the widest (45-m wide treatment) with the least influence from the 30-m wide treatment. Abundances and richness increased from pre-treatment to two-year post-treatment across all species and guilds that exhibited a response. These results suggest that cut-back borders increase breeding season habitat suitability along ROWs for the mature forest and young forest songbird community as well as for species of regional conservation priority in the short-term. These findings can aid development of management guidelines for the forest songbird community along abrupt forest edges of man-made habitat features in forest-dominated landscapes.&nbsp;</p>","language":"English","publisher":"Europe PMC","doi":"10.1002/eap.2540","usgsCitation":"Margenau, E.L., Wood, P.B., and Rota, C., 2025, Habitat management for stopover and breeding songbird communities along rights-of-way in forest-dominated landscapes: Ecological Applications, v. 32, no. 3, e2540, 17 p., https://doi.org/10.1002/eap.2540.","productDescription":"e2540, 17 p.","ipdsId":"IP-128489","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West 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Virginia\",\"nation\":\"USA  \"}}]}","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Margenau, Eric L.","contributorId":276179,"corporation":false,"usgs":false,"family":"Margenau","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":922815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rota, Christopher T.","contributorId":348005,"corporation":false,"usgs":false,"family":"Rota","given":"Christopher T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":922816,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262519,"text":"70262519 - 2025 - What have we lost? Modeling dam impacts on American shad populations through their native range","interactions":[],"lastModifiedDate":"2025-01-23T18:02:41.609727","indexId":"70262519","displayToPublicDate":"2021-10-24T11:57:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"What have we lost? Modeling dam impacts on American shad populations through their native range","docAbstract":"<p><span>American shad (</span><i>Alosa sapidissima</i><span>) are native to the east coast of North America from the St. Johns River, Florida, to the St. Lawrence River region in Canada. Since the 1800s, dams have reduced access to spawning habitat. To assess the impact of dams, we estimated the historically accessed spawning habitat in coastal rivers (485,618 river segments with 21,113 current dams) based on (i) width, (ii) distance from seawater, and (iii) slope (to exclude natural barriers to migration) combined with local knowledge. Estimated habitat available prior to dam construction (2,752 km</span><sup>2</sup><span>) was 41% greater than current fully accessible habitat (1,639 km</span><sup>2</sup><span>). River-specific population models were developed using habitat estimates and latitudinally appropriate life history parameters (e.g., size at age, maturity, iteroparity). Estimated coast-wide annual production potential was 69.1 million spawners compared with a dammed scenario (41.8 million spawners). Even with optimistic fish passage performance assumed for all dams (even if passage is completely absent), the dam-imposed deficit was alleviated by fewer than 3 million spawners. We estimate that in rivers modeled without dams, 98,000 metric tons of marine sourced biomass and nutrients were annually delivered, 60% of which was retained through carcasses, gametes and metabolic waste. Damming is estimated to have reduced this by more than one third. Based on our results, dams represent a significant and acute constraint to the population and, with other human impacts, reduce the fishery potential and ecological services attributed to the species.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2021.734213","usgsCitation":"Zydlewski, J.D., Stich, D.S., Roy, S., Bailey, M., Sheehan, T.F., and Sprankle, K., 2025, What have we lost? Modeling dam impacts on American shad populations through their native range: Frontiers in Marine Science, v. 8, 734213, 23 p., https://doi.org/10.3389/fmars.2021.734213.","productDescription":"734213, 23 p.","ipdsId":"IP-131060","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":489044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.734213","text":"Publisher Index Page"},{"id":481057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -56.28219724835304,\n              51.669977422737105\n            ],\n            [\n              -67.58323441275405,\n              50.88517823694593\n            ],\n            [\n              -75.47655261205108,\n              44.788885115920294\n            ],\n            [\n              -78.80188471400243,\n              40.10295269998778\n            ],\n            [\n              -78.42083873696455,\n              36.01921260607415\n            ],\n            [\n              -82.94641561076531,\n              32.75686616137071\n            ],\n            [\n              -80.74112054616836,\n              27.66399349231928\n            ],\n            [\n              -79.96534810037133,\n              29.923339649669487\n            ],\n            [\n              -74.89083345921267,\n              35.07101636720273\n            ],\n            [\n              -72.38821391976802,\n              39.93977209782662\n            ],\n            [\n              -58.55637489176931,\n              46.202660856570446\n            ],\n            [\n              -56.28219724835304,\n              51.669977422737105\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2021-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":924425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stich, Daniel S.","contributorId":280276,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":33660,"text":"SUNY Oneonta","active":true,"usgs":false}],"preferred":false,"id":924430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, Samuel G.","contributorId":276396,"corporation":false,"usgs":false,"family":"Roy","given":"Samuel G.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":924427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Michael M.","contributorId":280279,"corporation":false,"usgs":false,"family":"Bailey","given":"Michael M.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":924426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sheehan, Timothy F","contributorId":215995,"corporation":false,"usgs":false,"family":"Sheehan","given":"Timothy","email":"","middleInitial":"F","affiliations":[{"id":39347,"text":"NOAA Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":924428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sprankle, Kenneth","contributorId":349559,"corporation":false,"usgs":false,"family":"Sprankle","given":"Kenneth","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":924429,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70266307,"text":"70266307 - 2025 - Thicknesses of lava flows in satellite images: Comparison of layered mare units with terrestrial analogs","interactions":[],"lastModifiedDate":"2025-05-02T15:34:19.960507","indexId":"70266307","displayToPublicDate":"2020-05-20T10:30:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Thicknesses of lava flows in satellite images: Comparison of layered mare units with terrestrial analogs","docAbstract":"<div id=\"sp0090\" class=\"u-margin-s-bottom\"><span>Recent advances in satellite imaging technology have greatly improved our observations of&nbsp;planetary surfaces. The&nbsp;Lunar Reconnaissance Orbiter&nbsp;(LRO) Narrow Angle Camera (NAC) records images with resolutions on average of 0.5&nbsp;m per pixel, resolving meter scale features on the surface of the Moon. NAC images have revealed layered deposits, interpreted to be sequences of mare&nbsp;basalt&nbsp;flows, in the walls of impact craters on the lunar nearside. However, caution must be exercised in the interpretation of&nbsp;surface processes&nbsp;from morphologies of features that are close to the limits of detectability. Our goal is to quantify where that limit is for&nbsp;</span>lava flow<span>&nbsp;</span>stratigraphy.</div><div id=\"sp0095\" class=\"u-margin-s-bottom\"><span>Here we report on a terrestrial analog study conduced to better constrain limitations in the measurements of thicknesses of lava flows observed in high-resolution satellite-collected images. Using WorldView-2 satellite images, we mapped layered&nbsp;basalt&nbsp;flows at three sites in the Wai'anae and Ko'olau Ranges of O'ahu, Hawai'i.&nbsp;</span>Fieldwork<span>&nbsp;conducted at these sites allowed for assessment of the accuracy of image interpretations. We found that flow thickness estimates made using WorldView-2 images overestimated thicknesses of individual lava flows measured in the field at all eight locations visited by a factor of 1.2 to 3.5. A primary reason for this overestimation by&nbsp;remote sensing&nbsp;analysis is that many outcropping “layers” within a transect contain more than one individual flow, a distinction that is not visible in satellite images. However, the mean thickness of the layers seen in the orbital data was 0.8 to 1.7 times the outcrop thickness measured in the field, suggesting that the remote measurements should be considered estimates of the outcrop thickness rather than the thickness of individual lava flows.</span></div><div id=\"sp0100\" class=\"u-margin-s-bottom\">Measurements of layered lunar mare lava units in LRO NAC images provided layer thicknesses that ranged from &lt;1–6 times greater than those derived from images of the O'ahu study sites. It is reasonable to expect that many lunar outcrops similarly contain more than one individual flow and display similar outcropping patterns. This suggests that many current estimates of layer thicknesses derived by comparable methods actually correspond to outcrop thicknesses. Current interpretations of<span>&nbsp;</span>lava flow<span>&nbsp;</span>thicknesses derived from planetary images should be considered maximums for individual flow thicknesses with uncertainties that may be as high as a factor of 3 or more.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2020.113853","usgsCitation":"Rumpf, M.E., Needham, H., and Fagents, S.A., 2025, Thicknesses of lava flows in satellite images: Comparison of layered mare units with terrestrial analogs: Icarus, v. 350, 113853, 15 p., https://doi.org/10.1016/j.icarus.2020.113853.","productDescription":"113853, 15 p.","ipdsId":"IP-088728","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":485335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Oahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -158.27285429377633,\n              21.5195764297997\n            ],\n            [\n              -158.27285429377633,\n              21.215439926225343\n            ],\n            [\n              -157.6127344200394,\n              21.215439926225343\n            ],\n            [\n              -157.6127344200394,\n              21.5195764297997\n            ],\n            [\n              -158.27285429377633,\n              21.5195764297997\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"350","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Rumpf, M. Elise 0000-0001-7906-2623","orcid":"https://orcid.org/0000-0001-7906-2623","contributorId":217992,"corporation":false,"usgs":true,"family":"Rumpf","given":"M.","email":"","middleInitial":"Elise","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Needham, Heidi 0000-0003-2201-4959","orcid":"https://orcid.org/0000-0003-2201-4959","contributorId":354375,"corporation":false,"usgs":false,"family":"Needham","given":"Heidi","affiliations":[{"id":38449,"text":"University of Hawai‘i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":935520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagents, Sarah A.","contributorId":243389,"corporation":false,"usgs":false,"family":"Fagents","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":48709,"text":"University of Hawai`i","active":true,"usgs":false}],"preferred":false,"id":935521,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266753,"text":"70266753 - 2025 - Reevaluation of thermal maturity and stages of petroleum formation of the Mississippian Barnett Shale, Fort Worth Basin, Texas","interactions":[],"lastModifiedDate":"2025-05-12T14:03:38.358281","indexId":"70266753","displayToPublicDate":"2017-12-01T08:59:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of thermal maturity and stages of petroleum formation of the Mississippian Barnett Shale, Fort Worth Basin, Texas","docAbstract":"<p><span>New data including measured reflectance (%</span><i>R</i><sub>o</sub><span>), programmed open-system pyrolysis data, and kerogen elemental analyses obtained on the Mississippian Barnett Shale in the Fort Worth Basin, Texas, indicate that secondary-gas generation starts at 1.5%&nbsp;</span><i>R</i><sub>o</sub><span>&nbsp;and not at the previously prescribed 1.1%&nbsp;</span><i>R</i><sub>o</sub><span>. Oil-cracking kinetic parameters derived from pyrolysis experiments in the presence and absence of water indicate that secondary-gas generation will not occur at a thermal maturity as low as 1.1%&nbsp;</span><i>R</i><sub>o</sub><span>&nbsp;and requires a minimum thermal maturity of 1.5%&nbsp;</span><i>R</i><sub>o</sub><span>. This difference is especially important in using the Barnett Shale as an analog for evaluating other possible shale-gas plays. The new reflectance measurements have a good relationship with hydrogen indices (HIs) and compare well with other published data sets. However, the relationship does not compare well with the previously published data used to prescribe 1.1%&nbsp;</span><i>R</i><sub>o</sub><span>&nbsp;as the start of secondary-gas generation in the Barnett Shale. This discrepancy is attributed to differences in measured %</span><i>R</i><sub>o</sub><span>&nbsp;values and not attributed to differences in the HI values. Lack of publicly available information on the previously reported %</span><i>R</i><sub>o</sub><span>&nbsp;values makes it difficult to ascertain the reason for their lower values. These lower %</span><i>R</i><sub>o</sub><span>&nbsp;values also have impact on the previously prescribed relationship for estimating %</span><i>R</i><sub>o</sub><span>&nbsp;from the temperature at maximum yield by programmed open-system pyrolysis (</span><i>T</i><sub>max</sub><span>). As a result, the new data do not agree with a previously described relationship, and the considerable scatter makes the new relationship unreliable. However, the relationship between the HI and %</span><i>R</i><sub>o</sub><span>&nbsp;has less scatter, which indicates that HI offers a better proxy in calculating %</span><i>R</i><sub>o</sub><span>&nbsp;than&nbsp;</span><i>T</i><sub>max</sub><span>&nbsp;for the Barnett Shale. Comparison of various programmed open-system pyrolysis methods (i.e., Rock-Eval II, Rock-Eval 6, Source Rock Analyzer, and Hawk) indicates that variations in HI are within ±10% of one another. An HI of at least 44 mg/g total organic carbon is prescribed as a more certain limit for the start of secondary-gas generation and prospective in situ gas-shale accumulations.</span></p>","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/01251716053","usgsCitation":"Lewan, M., and Pawlewicz, M., 2025, Reevaluation of thermal maturity and stages of petroleum formation of the Mississippian Barnett Shale, Fort Worth Basin, Texas: AAPG Bulletin, v. 101, no. 12, p. 1945-1970, https://doi.org/10.1306/01251716053.","productDescription":"26 p.","startPage":"1945","endPage":"1970","ipdsId":"IP-074437","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":485708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Fort Worth basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -100,\n              34\n            ],\n            [\n              -100,\n              30.5\n            ],\n            [\n              -96.9,\n              30.5\n            ],\n            [\n              -96.9,\n              34\n            ],\n            [\n              -100,\n              34\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"101","issue":"12","noUsgsAuthors":false,"publicationDate":"2017-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Lewan, Michael 0000-0001-6347-1553 mlewan@usgs.gov","orcid":"https://orcid.org/0000-0001-6347-1553","contributorId":173938,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael","email":"mlewan@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":936687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pawlewicz, M.J.","contributorId":354949,"corporation":false,"usgs":false,"family":"Pawlewicz","given":"M.J.","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":936688,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70262837,"text":"70262837 - 2024 - An intercomparison of DOC estimated from fDOM sensors in wildfire affected streams of the western United States","interactions":[],"lastModifiedDate":"2025-01-24T16:00:41.024114","indexId":"70262837","displayToPublicDate":"2024-12-25T08:54:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"An intercomparison of DOC estimated from fDOM sensors in wildfire affected streams of the western United States","docAbstract":"<p><span>Wildfires in the western United States (US) have been demonstrated to affect water quality, including dissolved organic carbon (DOC), in streams. Elevated post-wildfire DOC concentration poses a potential risk to drinking water treatment systems. In-stream measurements of fluorescent dissolved organic matter (fDOM), a proxy for DOC, have shown potential to detect dynamic changes in DOC. High frequency monitoring of water temperature, turbidity, and fDOM was used in conjunction with discrete sampling during targeted storm events and at fixed intervals to estimate DOC in five western US streams following wildfires in 2020 and 2021 with the objective to characterise and compare responses to wildfire among sites. The elevated turbidity conditions typical after wildfire presented a challenge to fDOM measurements and there was a need to identify appropriate turbidity corrections at burned sites. A combination of established and novel methods corrected fDOM concentrations for turbidity effects up to 800 Formazin nephelometric units (FNU). Pre-wildfire high frequency water quality data in adjacent burned and unburned watersheds allowed for separation of climate effects on DOC at one of the sites. Hydrology, climate and landcover were more important drivers of post-wildfire DOC yield than wildfire characteristics. Seasonal patterns of DOC were unchanged by wildfire in snowmelt-driven watersheds. Large, transient spikes in DOC concentration following frontal and convective storms were observed post-wildfire at all burned sites, but not at the unburned site. These spikes often exceeded operational thresholds for drinking water treatment. This study highlights the ability to develop high frequency DOC estimates in surface waters up to 800 FNU using fDOM sensors and targeted storm sampling and emphasises the value of high frequency pre-wildfire data in adjacent burned and unburned watersheds for separating climate and wildfire effects.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70023","usgsCitation":"Akie, G.A., Clow, D.W., Murphy, S.F., Clark, G.D., Meador, M.R., and Ebel, B., 2024, An intercomparison of DOC estimated from fDOM sensors in wildfire affected streams of the western United States: Hydrological Processes, v. 38, no. 12, e70023, 20 p., https://doi.org/10.1002/hyp.70023.","productDescription":"e70023, 20 p.","ipdsId":"IP-164617","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":489141,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.70023","text":"Publisher Index 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 \"}}]}","volume":"38","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Akie, Garrett Alexander 0000-0002-6356-7106","orcid":"https://orcid.org/0000-0002-6356-7106","contributorId":290236,"corporation":false,"usgs":true,"family":"Akie","given":"Garrett","email":"","middleInitial":"Alexander","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":924966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Gregory D. 0000-0003-0066-8193 gmclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0066-8193","contributorId":224364,"corporation":false,"usgs":true,"family":"Clark","given":"Gregory","email":"gmclark@usgs.gov","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":219878,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":924968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":924969,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261948,"text":"70261948 - 2024 - Sequoia groves of Yosemite: Visitor use and impacts monitoring","interactions":[],"lastModifiedDate":"2025-01-06T14:57:47.15225","indexId":"70261948","displayToPublicDate":"2024-12-22T07:51:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Sequoia groves of Yosemite: Visitor use and impacts monitoring","docAbstract":"<p><span>Despite being long-lived and massive, giant sequoias (</span><i><span class=\"html-italic\">Sequoiadendron giganteum</span></i><span>&nbsp;(Lindl.) J. Bucholz) are susceptible to erosion given their relatively shallow root structure. Human-caused soil compaction and vegetation loss through social trails are primary drivers of erosion in giant sequoia groves, particularly for trees that are near formal trails and access roads. We develop a method to observe and quantify the near-tree impacts from park visitors and to relate the overall amount of use with ground cover impact parameters to assess whether the desired conditions of each grove are being met for the park to maintain a spectrum of recreational opportunities. We collected data on visitation, ground cover, soil compaction, and social trailing using a combination of targeted surveys and observations at the three giant sequoia groves in Yosemite National Park. The Mariposa Grove receives the most visitation, and use levels among groves were consistent with relative size and facilities available. Selected parameters for ground cover data were analyzed by comparing values within undisturbed versus trampling-disturbed subplots at both 0–2 m and 2–8 m. Exposed soil cover and compaction were generally higher in anthropogenically disturbed subplots versus undisturbed subplots, and vegetation cover was reduced in some disturbed subplots. Each grove had one surveyed tree where average soil compaction was ≥2.2 kg/cm</span><sup>2</sup><span>, which may limit root growth and impact seedling regeneration. Each of the three groves had some trees with social trail presence, yet less than 7% of mature trees within any grove were impacted by social trails, and most social trails were rated as having low impairment. Coupling soil compaction measurements and estimates of trampling-disturbed areas with mapping of social trail conditions within groves provides a general assessment of visitor-associated impacts to sequoia groves and can facilitate a relatively rapid way to track hotspot (i.e., increasingly impacted) trees over time.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f15122256","usgsCitation":"Shiflett, S., Jenkins, J., Mattos, R., Ibsen, P.C., and Athearn, N., 2024, Sequoia groves of Yosemite: Visitor use and impacts monitoring: Forests, v. 15, no. 12, 2256, 19 p., https://doi.org/10.3390/f15122256.","productDescription":"2256, 19 p.","ipdsId":"IP-170087","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":466702,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f15122256","text":"Publisher Index Page"},{"id":465665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.6799910466818,\n              37.9097240904418\n            ],\n            [\n              -119.6799910466818,\n              37.729468979298204\n            ],\n            [\n              -119.43926891028742,\n              37.729468979298204\n            ],\n            [\n              -119.43926891028742,\n              37.9097240904418\n            ],\n            [\n              -119.6799910466818,\n              37.9097240904418\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Shiflett, Sheri A.","contributorId":347753,"corporation":false,"usgs":false,"family":"Shiflett","given":"Sheri A.","affiliations":[{"id":39509,"text":"National Park Service, Yosemite National Park","active":true,"usgs":false}],"preferred":false,"id":922376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Jeffery S.","contributorId":347754,"corporation":false,"usgs":false,"family":"Jenkins","given":"Jeffery S.","affiliations":[{"id":38695,"text":"University of California Merced","active":true,"usgs":false}],"preferred":false,"id":922377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mattos, Rachel F.","contributorId":347755,"corporation":false,"usgs":false,"family":"Mattos","given":"Rachel F.","affiliations":[{"id":39509,"text":"National Park Service, Yosemite National Park","active":true,"usgs":false}],"preferred":false,"id":922378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":922379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Athearn, Nicole D.","contributorId":347757,"corporation":false,"usgs":false,"family":"Athearn","given":"Nicole D.","affiliations":[{"id":39509,"text":"National Park Service, Yosemite National Park","active":true,"usgs":false}],"preferred":false,"id":922380,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263847,"text":"70263847 - 2024 - Spatial differences in predicted Phalaris arundinacea (reed canarygrass) occurrence in floodplain forest understories","interactions":[],"lastModifiedDate":"2025-02-26T20:56:20.109414","indexId":"70263847","displayToPublicDate":"2024-12-19T13:50:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Spatial differences in predicted Phalaris arundinacea (reed canarygrass) occurrence in floodplain forest understories","docAbstract":"<p><span>Reed canarygrass (</span><i>Phalaris arundinacea</i><span>&nbsp;L.) is one of the most common invaders of floodplains and wetlands in North America. In the Upper Mississippi River floodplain, invasion by reed canarygrass in forest understories can inhibit forest regeneration when gaps form in the overstory. Understanding the distribution of reed canarygrass in forest understories is essential for effective management and control. We used an ensemble of species distribution models including Bayesian additive regression trees, boosted trees, and random forest algorithms to predict habitat suitability for reed canarygrass in forest understories across the Upper Mississippi River floodplain (~41,000 ha). Data from forest inventory study plots with reed canarygrass presence and absence were combined with 10 hypothesized environmental predictors of reed canarygrass invasion. We applied three approaches to better understand and incorporate the influence of spatial autocorrelation among our predictor variables, including random cross-validation, spatial cross-validation, and spatial cross-validation with Euclidean distance fields. Flood frequency, distance to contiguous floodplain, distance to forest edge, and distance to invaded wet meadow were among the most important environmental predictors across the three algorithms. Generally, the mean probability of reed canarygrass presence decreased with increasing flood depth, distance to contiguous floodplain, distance to invaded wet meadow, forest cover, and forest height, while relationships with other predictors were more variable. The ensemble of the three models (i.e., the average prediction) was used to map and summarize potential reed canary grass habitat suitability across the landscape. The maps generated quantified the habitat suitability for reed canarygrass and areas of agreement among the models in forest understories across the floodplain. This information can be used to better understand the extent of invasion, prioritize restoration efforts, and develop further research.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70138","usgsCitation":"Delaney, J., Van Appledorn, M., De Jager, N.R., Bouska, K.L., and Rohweder, J.J., 2024, Spatial differences in predicted Phalaris arundinacea (reed canarygrass) occurrence in floodplain forest understories: Ecosphere, v. 15, no. 12, e70138, 19 p., https://doi.org/10.1002/ecs2.70138.","productDescription":"e70138, 19 p.","ipdsId":"IP-151054","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":487690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70138","text":"Publisher Index Page"},{"id":482505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River floodplain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.10323647292768,\n              46.99782038374508\n            ],\n            [\n              -95.10323647292768,\n              39.14905192203409\n            ],\n            [\n              -86.81143448094211,\n              39.14905192203409\n            ],\n            [\n              -86.81143448094211,\n              46.99782038374508\n            ],\n            [\n              -95.10323647292768,\n              46.99782038374508\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Delaney, John 0000-0003-1038-0265","orcid":"https://orcid.org/0000-0003-1038-0265","contributorId":255630,"corporation":false,"usgs":true,"family":"Delaney","given":"John","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":928659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":928660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":928661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":928662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":928663,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261851,"text":"70261851 - 2024 - Bee habitat, but not bee community structure, varies across grassland management in four national parks in the Mid-Atlantic, USA","interactions":[],"lastModifiedDate":"2024-12-31T15:24:53.181359","indexId":"70261851","displayToPublicDate":"2024-12-17T08:49:54","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":"Bee habitat, but not bee community structure, varies across grassland management in four national parks in the Mid-Atlantic, USA","docAbstract":"National parks in the U.S. play a large role in providing habitat for native pollinators. In parks that are established to preserve cultural landscapes, park managers recognize an opportunity to improve pollinator habitat while maintaining historically accurate conditions.  In this study we document floral resources and native bees within managed park grasslands, with the goal of providing managers information to help them maximize pollinator habitat while meeting other management objectives. The study was performed on 37 grassland properties in the mid-Atlantic region of the eastern U.S., distributed across four national parks; each property was managed with one of three management types: cool-season hayed, cool-season pasture, or warm-season meadows managed with multiple approaches.  We surveyed bees and open flowers on 50-m transects twice each year in 2021 and 2022.  Repeated measures ANOVA models revealed mean bee abundance, richness, evenness, and diversity did not vary among sites or management types. This finding was further supported by a principal coordinates analysis that showed bee community composition was similar across management types.  Nonetheless, we found evidence to indicate the three management types did not produce equivalent habitat for bees. Species accumulation curves showed that the effective number of flower species was consistently lower in cool-season pastures, relative to the other two management types.  Furthermore, we detected positive correlations between bee and flower diversity metrics in one of the two years, suggesting that floral metrics can influence bee communities, at least under certain conditions.  Collectively, our study suggests that cool-season fields that are hayed and warm-season meadows have higher floral diversity than cool-season pastures within national parks of the mid-Atlantic region, and this higher diversity of forbs has the potential to benefit native bee diversity.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70719","usgsCitation":"Larson, D., Landsman, A.P., Simanonok, M., Larson, J., Davies, C., and Otto, C., 2024, Bee habitat, but not bee community structure, varies across grassland management in four national parks in the Mid-Atlantic, USA: Ecology and Evolution, v. 14, no. 12, e70719, 12 p., https://doi.org/10.1002/ece3.70719.","productDescription":"e70719, 12 p.","ipdsId":"IP-165538","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":466712,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70719","text":"Publisher Index Page"},{"id":465562,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Antietam National Battlefield, Chesapeake and Ohio Canal National Historical Park, Manassas National Battlefield Park, Monocacy National Battlefield","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.87075132703544,\n              38.76343738595514\n            ],\n            [\n              -77.19342578059188,\n              38.76343738595514\n            ],\n            [\n              -77.19342578059188,\n              39.7128528705739\n            ],\n            [\n              -78.87075132703544,\n              39.7128528705739\n            ],\n            [\n              -78.87075132703544,\n              38.76343738595514\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Diane L. 0000-0001-5202-0634","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":260165,"corporation":false,"usgs":true,"family":"Larson","given":"Diane L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":922029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landsman, Andrew P 0000-0002-4750-819X","orcid":"https://orcid.org/0000-0002-4750-819X","contributorId":291247,"corporation":false,"usgs":false,"family":"Landsman","given":"Andrew","email":"","middleInitial":"P","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":922030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simanonok, Michael 0000-0002-4710-4515","orcid":"https://orcid.org/0000-0002-4710-4515","contributorId":228829,"corporation":false,"usgs":false,"family":"Simanonok","given":"Michael","email":"","affiliations":[],"preferred":false,"id":922031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Jennifer L. 0000-0002-6259-0101","orcid":"https://orcid.org/0000-0002-6259-0101","contributorId":317994,"corporation":false,"usgs":false,"family":"Larson","given":"Jennifer L.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":922032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davies, Cora","contributorId":347591,"corporation":false,"usgs":false,"family":"Davies","given":"Cora","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":922033,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":922034,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70266271,"text":"70266271 - 2024 - Abiotic and biotic factors related to growth of non-native Walleyes in Lake Pend Oreille, Idaho","interactions":[],"lastModifiedDate":"2025-05-02T17:22:12.480013","indexId":"70266271","displayToPublicDate":"2024-12-16T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Abiotic and biotic factors related to growth of non-native Walleyes in Lake Pend Oreille, Idaho","docAbstract":"<p>Objective </p><p>Growth is one of the primary drivers of fish population dynamics and understanding factors influencing growth is vital to effective management of fish populations. This study investigated potential factors influencing growth of a recently established, non-native population of Walleye Sander vitreus in the Lake Pend Oreille system in northern Idaho. </p><p>Methods </p><p><span>We used relative growth index to describe growth of Walleyes relative to populations across North America. Mixed‐effects modeling was used to relate growth to abiotic (i.e., mean summer water temperature, river inflow) and biotic (i.e., kokanee&nbsp;</span><i>Oncorhynchus nerka</i><span>&nbsp;abundance and biomass; opossum shrimp&nbsp;</span><i>Mysis diluviana</i><span>&nbsp;density) variables. Models were ranked using Akaike's information criterion corrected for small sample size. Individual variability in growth was related to diet represented by stable isotopes (i.e., δ</span><sup>15</sup><span>N, δ</span><sup>13</sup><span>C) using linear regression for age‐1, age‐2, age‐3, and age‐5 individuals. Subsequently, for each age‐class, we evaluated differences in δ</span><sup>15</sup><span>N and δ</span><sup>13</sup><span>C between fast‐growing (i.e., 75th and higher percentiles of growth) and slow‐growing (i.e., 25th and lower percentiles of growth) individuals.</span></p><p>Results </p><p>The relative growth index suggested that Walleye grew fast relative to other populations, particularly those at similar latitudes to the Lake Pend Oreille system. Mixed-effects regression modeling indicated that growth of Walleyes was positively associated with temperature as well as abundance and biomass of kokanee; growth was negatively associated with inflow from the Clark Fork River and Mysis diluviana density. The top model explaining growth of Walleyes contained temperature and abundance of kokanee as environmental variables. The second equally plausible (i.e., within 2 AICc) model contained temperature. Growth of Walleyes varied among individuals. Generally, fast-growing Walleyes had higher δ15N than slow-growing Walleyes. Similarly, δ13C was more depleted in the fast-growing individuals for all age classes, except age 1, suggesting that age-1 individuals used higher proportions of littoral prey items compared to other age classes. </p><p>Conclusion </p><p>This study showed that kokanee abundance and temperature appeared to be important factors influencing growth of Walleyes in the Lake Pend Oreille system. Additionally, variability in growth appeared to be related to variability in diet, particularly for age-1 Walleyes. Impact statement Growth of Walleyes has been extensively studied, yet few studies have evaluated growth of Walleyes in novel systems or assessed individual variability in growth. Our research adds to the understanding of individual variability in growth and factors influencing population dynamics of non-native Walleyes.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1002/nafm.11056","collaboration":"Idaho Department of Fish and Game","usgsCitation":"Frawley, S., Corsi, M., Dux, A.M., Hardy, R.S., and Quist, M.C., 2024, Abiotic and biotic factors related to growth of non-native Walleyes in Lake Pend Oreille, Idaho: North American Journal of Fisheries Management, v. 44, no. 6, p. 1325-1341, https://doi.org/10.1002/nafm.11056.","productDescription":"17 p.","startPage":"1325","endPage":"1341","ipdsId":"IP-163539","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Lake Pend Oreille","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.79187320079157,\n              48.33908577891279\n            ],\n            [\n              -116.79187320079157,\n              47.933452975307574\n            ],\n            [\n              -116.12337645556701,\n              47.933452975307574\n            ],\n            [\n              -116.12337645556701,\n              48.33908577891279\n            ],\n            [\n              -116.79187320079157,\n              48.33908577891279\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Frawley, Susan","contributorId":354288,"corporation":false,"usgs":false,"family":"Frawley","given":"Susan","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Matthew P.","contributorId":171811,"corporation":false,"usgs":false,"family":"Corsi","given":"Matthew P.","affiliations":[],"preferred":false,"id":935347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dux, Andrew M.","contributorId":175256,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":935348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":935349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935350,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70265979,"text":"70265979 - 2024 - Presence-absence surveys yield spatially imprecise information about nesting sites of an endangered, forest-nesting seabird","interactions":[],"lastModifiedDate":"2025-04-22T15:39:50.491324","indexId":"70265979","displayToPublicDate":"2024-12-12T10:33:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Presence-absence surveys yield spatially imprecise information about nesting sites of an endangered, forest-nesting seabird","docAbstract":"<p><span>Presence-absence surveys are frequently used to monitor populations of rare and elusive species. Such data may also be used as a proxy for breeding activity, but links between presence-absence data and higher-order processes must be validated to determine their reliability. The Marbled Murrelet (</span><i>Brachyramphus marmoratus</i><span>) is a threatened seabird that nests in older-aged forests along the Pacific Coast. Its nests are exceptionally difficult to find, so we tested whether presence-absence surveys can help identify nesting sites. Between 2018 and 2022 we located 17 trees containing active murrelet nests in the Oregon Coast Range (USA) and 38 trees that purportedly contained no active nests (26 in occupied murrelet stands and 12 in unoccupied stands). Observers surveyed within 200 m of focal trees using standard presence-absence surveys, and we modeled the effects of site status (active nest or control) and distance from the focal tree on probability of recording murrelets. We never detected murrelets in unoccupied control sites. We found some evidence that the probability of recording presence was higher at active nesting sites (0.81, 95% CI: 0.71, 0.88) than at occupied control sites (0.71, 95% CI: 0.64, 0.78) although a null model had similar support. The probability of recording murrelet breeding behaviors in nesting and occupied control sites was 0.20 (95% CI: 0.14, 0.27) regardless of distance to a known active nest. These results suggest that presence-absence surveys may be useful for identifying plausible murrelet nesting habitat, but they are ineffective for identifying active nesting sites. Moreover, we estimated that 20 repeated surveys at a point in space are required to reasonably conclude there are no active nesting sites within 200 m. These findings serve as an important reminder of the limitations that can come with relying on presence-absence data alone to identify breeding sites.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0315531","usgsCitation":"Spurgeon, J.J., Adrean, L., Nelson, S., Betts, M., Roby, D., and Rivers, J., 2024, Presence-absence surveys yield spatially imprecise information about nesting sites of an endangered, forest-nesting seabird: PLoS ONE, v. 19, no. 12, e0315531, 13 p., https://doi.org/10.1371/journal.pone.0315531.","productDescription":"e0315531, 13 p.","ipdsId":"IP-167025","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0315531","text":"Publisher Index Page"},{"id":484839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.5,\n              45.6\n            ],\n            [\n              -124.1,\n              45.6\n            ],\n            [\n              -124.1,\n              43.9\n            ],\n            [\n              -123.5,\n              43.9\n            ],\n            [\n              -123.5,\n              45.6\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adrean, Lindsay J.","contributorId":353648,"corporation":false,"usgs":false,"family":"Adrean","given":"Lindsay J.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":934231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, S. Kim","contributorId":353649,"corporation":false,"usgs":false,"family":"Nelson","given":"S. Kim","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":934232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betts, Matthew G.","contributorId":353650,"corporation":false,"usgs":false,"family":"Betts","given":"Matthew G.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":934233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roby, Daniel D.","contributorId":353651,"corporation":false,"usgs":false,"family":"Roby","given":"Daniel D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":934234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rivers, James W.","contributorId":353652,"corporation":false,"usgs":false,"family":"Rivers","given":"James W.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":934235,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261673,"text":"70261673 - 2024 - Pragmatically mapping Phragmites with unoccupied aerial systems: A comparison of invasive species land cover classification using RGB and multispectral imagery","interactions":[],"lastModifiedDate":"2024-12-18T17:41:00.129411","indexId":"70261673","displayToPublicDate":"2024-12-09T11:26:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Pragmatically mapping Phragmites with unoccupied aerial systems: A comparison of invasive species land cover classification using RGB and multispectral imagery","docAbstract":"<p><span>Unoccupied aerial systems (UASs) are increasingly being deployed in coastal environments to rapidly map and monitor changes to geomorphology, vegetation, and infrastructure, particularly in difficult to access areas. UAS data, relative to airplane or satellite data, typically have higher spatial resolution, sensor customization, and increased flexibility in temporal resolution, which benefits monitoring applications. UAS data have been used to map and monitor invasive species occurrence and expansion, such as&nbsp;</span><span class=\"html-italic\">Phragmites australis</span><span>, a reed species in wetlands throughout the eastern United States. To date, the work on this species has been largely opportunistic or ad hoc. Here, we statistically and qualitatively compare results from several sensors and classification workflows to develop baseline understanding of the accuracy of different approaches used to map&nbsp;</span><span class=\"html-italic\">Phragmites</span><span>. Two types of UAS imagery were collected in a&nbsp;</span><span class=\"html-italic\">Phragmites</span><span>-invaded salt marsh setting—natural color red-green-blue (RGB) imagery and multispectral imagery spanning visible and near infrared wavelengths. We evaluated whether one imagery type provided significantly better classification results for mapping land cover than the other, also considering trade-offs like overall accuracy, financial costs, and effort. We tested the transferability of classification workflows that provided the highest thematic accuracy to another barrier island environment with known&nbsp;</span><span class=\"html-italic\">Phragmites</span><span>&nbsp;stands. We showed that both UAS sensor types were effective in classifying&nbsp;</span><span class=\"html-italic\">Phragmites</span><span>&nbsp;cover, with neither resulting in significantly better classification results than the other for&nbsp;</span><span class=\"html-italic\">Phragmites</span><span>&nbsp;detection (overall accuracy up to 0.95,&nbsp;</span><span class=\"html-italic\">Phragmites</span><span>&nbsp;recall up to 0.86 at the pilot study site). We also found the highest accuracy workflows were transferrable to sites in a barrier island setting, although the quality of results varied across these sites (overall accuracy up to 0.97,&nbsp;</span><span class=\"html-italic\">Phragmites</span><span>&nbsp;recall up to 0.90 at the additional study sites).</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs16244691","usgsCitation":"Evans, A.D., Cramer, J.M., Scholl, V.M., and Lentz, E.E., 2024, Pragmatically mapping Phragmites with unoccupied aerial systems: A comparison of invasive species land cover classification using RGB and multispectral imagery: Remote Sensing, v. 16, no. 24, 4691, 29 p., https://doi.org/10.3390/rs16244691.","productDescription":"4691, 29 p.","ipdsId":"IP-169125","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16244691","text":"Publisher Index Page"},{"id":465289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Dog Head Marsh","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.5,\n              41.5556\n            ],\n            [\n              -70.5,\n              41.551111\n            ],\n            [\n              -70.505556,\n              41.551111\n            ],\n            [\n              -70.505556,\n              41.5556\n            ],\n            [\n              -70.5,\n              41.5556\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"24","noUsgsAuthors":false,"publicationDate":"2024-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Alexandra Danielle 0000-0001-8224-2318","orcid":"https://orcid.org/0000-0001-8224-2318","contributorId":303770,"corporation":false,"usgs":true,"family":"Evans","given":"Alexandra","email":"","middleInitial":"Danielle","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cramer, Jennifer Marie 0000-0002-5899-8809","orcid":"https://orcid.org/0000-0002-5899-8809","contributorId":303769,"corporation":false,"usgs":true,"family":"Cramer","given":"Jennifer","email":"","middleInitial":"Marie","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Victoria Mary 0000-0002-2085-1449","orcid":"https://orcid.org/0000-0002-2085-1449","contributorId":295713,"corporation":false,"usgs":true,"family":"Scholl","given":"Victoria","email":"","middleInitial":"Mary","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":921389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262441,"text":"70262441 - 2024 - Mixed responses of tenebrionid beetles to solar energy development in the Mojave Desert","interactions":[],"lastModifiedDate":"2025-01-22T17:28:24.98367","indexId":"70262441","displayToPublicDate":"2024-12-09T10:20:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Mixed responses of tenebrionid beetles to solar energy development in the Mojave Desert","docAbstract":"<p><span>Solar energy development causes land-use change and habitat alteration that may affect desert ecosystems. Tenebrionid beetles have evolved to exploit desert environments and heavily contribute to ecosystem functionality in aridlands, yet their species-specific, ecological responses to solar energy development are unknown. Our objective was to elucidate effects of solar energy development decisions at a solar power facility (392&nbsp;MW) on a tenebrionid beetle community in the Mojave Desert. Seven years post-construction, we used pitfall traps to collect tenebrionid beetles for one month in treatments representing variably intense site preparation practices and conservation measures, including blading (i.e., bulldozing), mowing, and establishment of undeveloped patches in solar fields, replicated across three power blocks comprising the facility and in undeveloped control sites surrounding the facility. Blading caused significant, deleterious effects on tenebrionid beetle abundance, species richness, and diversity. Ordination revealed apparent overlap of non-bladed treatments and controls, suggesting that intermediate levels of disturbance from less intensive solar energy development decisions may serve to minimize negative effects of solar energy development on tenebrionid communities.&nbsp;</span><i>Anepsius delicatulus</i><span>&nbsp;and&nbsp;</span><i>Triorophus laevis</i><span>, the two most commonly collected tenebrionids, were significantly more abundant in non-bladed treatments in the solar facility than in undeveloped controls; thus, solar facilities with minimized disturbance to vegetation may provide preferred habitat for certain tenebrionid species. Our results demonstrate the value of understanding variable responses of insects to solar energy development decisions in deserts to inform real-world adaptive management of natural resources during the renewable energy transition.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2024.105243","usgsCitation":"Grodsky, S.M., Campbell, J., Roeder, K., Waite, E., Wright, E., and Johnston, M., 2024, Mixed responses of tenebrionid beetles to solar energy development in the Mojave Desert: Journal of Arid Environments, v. 225, 105243, 8 p., https://doi.org/10.1016/j.jaridenv.2024.105243.","productDescription":"105243, 8 p.","ipdsId":"IP-161035","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Bernardino County","otherGeospatial":"Mojave 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