1. While species distribution models (SDM) are frequently used to predict species occurrences to help inform conservation management, there is limited evidence evaluating whether habitat suitability can reliably predict intrinsic growth rates or distinguish source from sink populations. Filling this knowledge gap is critical for conservation science, as applications of SDMs for management purposes ultimately depend on these typically unobserved population or metapopulation dynamics.
2. Using regression, we associate previously published population level estimates of intrinsic growth and abundance derived from a Bayesian analysis of mark-recapture data for 17 bird species found in the contiguous United States with SDM habitat suitability estimates fitted here to opportunistic data for these same species. We then use AUC to measure how well SDMs can distinguish populations categorized as sources and sinks, depending on their intrinsic growth rates estimated from the mark-recapture data. We built SDMs using two different approaches, boosted regression trees (BRT) and Generalized Linear Models (GLM), and compared their predictive performance. Each SDM was built with presence points obtained from eBird and 10 environmental variables previously selected to model intrinsic growth rates and abundance for these species.
3. We show that SDMs built with opportunistic data are poor predictors of species demography in general; both BRT and GLM explained very little spatial variation of intrinsic growth rate and population abundance (median R2 across 17 species was close to 0.1 for both SDM methods). SDMs do, however, estimate higher suitability for source populations as compared to sinks. Out of 13 species which had both source and sink populations, both BRT and GLM had AUC values greater than 0.7 for 7 species when discriminating between sources and sinks.
4. Habitat suitability have the potential to be a useful measure to indicate a population’s ability to sustain itself as a source population, however more research on a diverse set of taxa is essential to fully explore this potential. This interpretation of habitat suitability can be particularly useful for conservation practice, and identification of explicit cases of when and how SDMs fail to match population demography can be informative for advancing ecological theory.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.14201","usgsCitation":"Sen, B., Che-Castaldo, C., and Akcakaya, H., 2024, The potential for species distribution models to distinguish source populations from sinks: Journal of Animal Ecology, v. 93, no. 12, p. 1924-1934, https://doi.org/10.1111/1365-2656.14201.","productDescription":"11 p.","startPage":"1924","endPage":"1934","ipdsId":"IP-158846","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -175.4084296383991,\n 66.17186948114775\n ],\n [\n -100.17434031407315,\n 12.63468703827597\n ],\n [\n -85.66593869303364,\n 18.09834816624732\n ],\n [\n -42.328707061672674,\n 53.28958825316239\n ],\n [\n -85.66593869303364,\n 66.17186948114775\n ],\n [\n -139.1966547381836,\n 73.75892824404093\n ],\n [\n -175.4084296383991,\n 66.17186948114775\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"93","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Sen, Bilgecan","contributorId":348874,"corporation":false,"usgs":false,"family":"Sen","given":"Bilgecan","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":923843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Che-Castaldo, Christian Joseph 0000-0002-7670-2178","orcid":"https://orcid.org/0000-0002-7670-2178","contributorId":347906,"corporation":false,"usgs":true,"family":"Che-Castaldo","given":"Christian Joseph","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":923844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akcakaya, H. Resit","contributorId":348875,"corporation":false,"usgs":false,"family":"Akcakaya","given":"H. Resit","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":923845,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259760,"text":"70259760 - 2024 - Leveraging extensive soil, vegetation, fire, and land treatment data to inform restoration across the sagebrush biome","interactions":[],"lastModifiedDate":"2024-10-24T12:05:32.87584","indexId":"70259760","displayToPublicDate":"2024-10-19T07:00:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging extensive soil, vegetation, fire, and land treatment data to inform restoration across the sagebrush biome","docAbstract":"Widespread ecological degradation has prompted calls for massive global investments in ecological restoration, yet limited resources necessitate efficient application of restoration efforts. In western North America, altered fire regimes are increasing the scale of restoration needed to preserve the sagebrush (Artemisia species) biome but prioritizing and implementing effective restoration is complicated by the vast and heterogeneous sagebrush landscape, which includes gradients in climate, disturbance, and species composition.
To develop spatially explicit and context-dependent estimates of treatment efficacy and sagebrush recovery rates.
We leveraged a suite of spatio-temporally extensive datasets to evaluate the influence of restoration treatments and environmental conditions on trends in post-disturbance sagebrush cover, with an emphasis on understanding differences between sites recovering naturally and sites receiving restoration treatments. We used estimates from these models to develop spatially explicit projections for sagebrush recovery, conditional on disturbance, restoration practice, and environmental conditions.
We found seeding Artemisia spp. increased sagebrush cover over time relative to natural recovery, but this relationship depended on spring soil moisture availability and treatment methods. Natural recovery was positively influenced by soil moisture and sagebrush cover and negatively influenced by cumulative burns and annual herbaceous cover, while the influence of perennial herbaceous cover varied with soil moisture.
Our results provide biome-wide insights and spatially explicit tools that can inform economic cost-effectiveness analyses, restoration prioritization tools, and other scientific endeavors to ensure managers have the tools and information needed to effectively steward the sagebrush biome in a rapidly changing world.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-024-01968-z","usgsCitation":"Tarbox, B.C., Monroe, A., Jeffries, M.I., Welty, J.L., O’Donnell, M.S., Arkle, R., Pilliod, D., Coates, P.S., Heinrichs, J., Manier, D., and Aldridge, C.L., 2024, Leveraging extensive soil, vegetation, fire, and land treatment data to inform restoration across the sagebrush biome: Landscape Ecology, v. 39, 184, 23 p., https://doi.org/10.1007/s10980-024-01968-z.","productDescription":"184, 23 p.","ipdsId":"IP-157865","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-024-01968-z","text":"Publisher Index Page"},{"id":463142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.35998060853578,\n 48.72039589220637\n ],\n [\n -121.35998060853578,\n 32.36195983901993\n ],\n [\n -99.82677748353605,\n 32.36195983901993\n ],\n [\n -99.82677748353605,\n 48.72039589220637\n ],\n [\n -121.35998060853578,\n 48.72039589220637\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2024-10-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Tarbox, Bryan C. 0000-0001-5040-3949","orcid":"https://orcid.org/0000-0001-5040-3949","contributorId":288930,"corporation":false,"usgs":true,"family":"Tarbox","given":"Bryan","email":"","middleInitial":"C.","affiliations":[{"id":291,"text":"Fort Collins Science 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Center","active":true,"usgs":true}],"preferred":true,"id":916622,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":916623,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70259702,"text":"70259702 - 2024 - Produced water geochemistry from hydraulically stimulated Niobrara Formation petroleum wells: Origin of salinity and temporal perspectives on treatment and reuse","interactions":[],"lastModifiedDate":"2024-10-23T16:39:11.0739","indexId":"70259702","displayToPublicDate":"2024-10-18T08:28:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Produced water geochemistry from hydraulically stimulated Niobrara Formation petroleum wells: Origin of salinity and temporal perspectives on treatment and reuse","docAbstract":"Disease may be both a cause and consequence of stress, and physiological responses to infectious disease may involve stress coping mechanisms that have important fitness consequences. For example, glucocorticoid and glycemic responses may affect host fitness by altering resource allocation and use in hosts, and these responses may be affected by competing stressors. To better understand the factors that affect host responses to infection, we challenged the immune system of field acclimatized pygmy rattlesnakes, Sistrurus miliarius, with a sterile antigen, lipopolysaccharide (LPS), and measured the glucocorticoid and glycemic response in healthy non-reproductive snakes, snakes afflicted with an emerging mycosis (ophidiomycosis), and pregnant snakes. We hypothesized that LPS challenge would result in a glucocorticoid and glycemic response typical of the vertebrate acute phase response (APR), and therefore predicted that LPS challenge would result in an acute increase in plasma corticosterone (CORT) and a decline in plasma glucose in all individuals. Additionally, we hypothesized that the APR would be attenuated in individuals simultaneously coping with additional challenges to homeostasis (i.e., disease or reproduction). As predicted, immune challenge elicited an acute increase in plasma CORT and a decrease in plasma glucose. Snakes coping with ophidiomycosis and pregnant snakes were able to mount a robust glucocorticoid and hypoglycemic response to LPS challenge, which was contrary to our hypothesis. Our findings clarify directions of causality linking infection, glucocorticoids, and glucose, and emphasize the importance of future research examining the fitness consequences of interactions between stress and disease in wildlife threatened by emerging pathogens.
Distributed volcanism is defined by regions of dominantly, but not exclusively, monogenetic eruptive vents that are commonly mafic. Volcanic eruptions within distributed fields can range in composition from basalt to rhyolite and produce all types of volcanoes in all tectonic environments. This diversity in eruption composition and style reflects complex and varied magma ascent and storage conditions. Eruptive vents in distributed volcanic fields are scattered in space and time, so the locations and timing of future eruptions are unknown but may be generally forecast based on patterns of previous volcanic activity and overall tectonic setting. This Professional Paper and its chapters address the current understanding of the characteristics, processes, and hazards related to distributed volcanism, providing new insights into magmatic and volcanic processes that will lead to more effective forecasting and mitigation of eruption hazards from this underappreciated style of volcanic activity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1890","usgsCitation":"Poland, M.P., Ort, M.H., Stovall, W.K., Vaughan, G.R., Connor, C.B., and Rumpf, M.E., eds., 2024, Distributed volcanism—Characteristics, processes, and hazards: U.S. Geological Survey Professional Paper 1890, https://doi.org/10.3133/pp1890.","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":462965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"contact":"Director,
Volcano Science Center
U.S. Geological Survey
4230 University Drive
Anchorage, AK 99508
The Mineral Mountains in southwestern Utah are a structurally controlled core complex at the confluence of the Colorado Plateau and the Basin and Range physiographic provinces. Aside from hosting Utah’s largest batholith, the Mineral Mountains host some of the State’s youngest high-silica rhyolites, which have been linked to a magma source that is presently being utilized as an enhanced geothermal system. The high-silica rhyolites take the form of effusive lavas and domes, and explosive products are rare. Previous K-Ar dating of these Pleistocene rhyolites placed eruptions between about 790 and 500 kilo-annum (ka) with contemporaneous basalts erupting in the valley to the east of the Mineral Mountains. Large uncertainties on these ages obscured the tempo of eruptions and thus hindered attempts to constrain the timescales of the petrogenetic processes that produced the rhyolites. In this study, we build on previous studies conducted in the 1970s and 1980s by using new geochronologic and geochemical data to investigate the temporal and spatial evolution of the youngest phase of volcanism in the Mineral Mountains. We identify two major eruptive periods, from approximately 850 to 750 ka and from approximately 590 to 480 ka. The older phase is characterized by the eruption of several basaltic lavas, two obsidian flows, and a series of coalescing porphyritic rhyolite domes. The younger phase included the eruption of six evolved high-silica rhyolite domes and one pyroclastic deposit, followed by the eruption of trachyandesite in the adjacent valley to the east. Whole-rock geochemical data indicate that the rhyolites can be divided into three chemical groups, with more evolved compositions erupting through time. The youngest rhyolites along the range crest have the lowest total iron and TiO2 concentrations and the highest incompatible element concentrations, indicative of increasing differentiation with time and elevation. Improved precision on the eruption ages indicates a recurrence interval of approximately 20 thousand years. The eruptive flux for both periods of rhyolitic volcanism is about 0.01 cubic kilometers per thousand years, which is less than the magma resurgence flux rates for syn-caldera and post-caldera eruptions of the Valles Caldera and Yellowstone Caldera volcanic systems. Collectively, these geochemical, geochronological, and volumetric data may facilitate a better understanding of heat flux and the longevity of magmatic sources related to geothermal resources in similar small-volume, silicic systems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1890K","usgsCitation":"Rivera, T.A., Jicha, B.R., Kirby, S., and Peacock, H.B., 2024, Temporal, spatial, and chemical evolution of Quaternary high-silica rhyolites in the Mineral Mountains, Utah, chap. K of Poland, M.P., Ort, M.H., Stovall, W.K., Vaughan, G.R., Connor, C.B., and Rumpf, M.E., eds., Distributed volcanism—Characteristics, processes, and hazards: U.S. Geological Survey Professional Paper 1890, 19 p., https://doi.org/10.3133/pp1890K.","productDescription":"v, 19 p.","numberOfPages":"19","onlineOnly":"Y","ipdsId":"IP-154539","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":497878,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117732.htm"},{"id":462712,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1890/k/covrthb.png"},{"id":462713,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1890/k/pp1890k.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1890-K PDF"},{"id":500729,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1890/k/images"},{"id":500728,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1890/k/pp1890K.XML","linkFileType":{"id":8,"text":"xml"},"description":"Professional Paper 1890-K XML"},{"id":500727,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1890K/full","linkFileType":{"id":5,"text":"html"},"description":"Professional Paper 1890-K HTML"}],"country":"United States","state":"Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.1,\n 38.2\n ],\n [\n -112.5,\n 38.2\n ],\n [\n -112.5,\n 39.0\n ],\n [\n -113.1,\n 39.0\n ],\n [\n -113.1,\n 38.2\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
Volcano Science Center
U.S. Geological Survey
4230 University Drive
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Environmental DNA (eDNA) offers a novel approach to supplement traditional surveys and provide increased spatial and temporal information on species detection, and it can be especially beneficial for detecting at risk or threatened species with minimal impact on the target species. The transport of eDNA in lotic environments is an important component in providing more informed descriptions of where and when a species is present, but eDNA transport phenomena are not well understood. In this study, we used species-specific assays to detect eDNA from two federally endangered mussels in two geographically distinct rivers. Using the eDNA concentrations measured from field samples, we developed a one-dimensional (1D) hydrodynamic transport model to predict the downstream fate and transport of eDNA. We detected eDNA from both federally endangered mussels across several seasons and flow rates and up to 3.5 km downstream from the source populations, but the detection rates and eDNA concentrations were highly variable across and within rivers and study reaches. Our 1D transport models successfully integrated the variability of the eDNA field samples into the model predictions and overall model results were generally within ±1 standard error of the eDNA field concentration values. Overall, the results of this study demonstrate the importance of optimizing the spatial locations from where eDNA is collected downstream from a source population, and it highlights the need to improve understanding on the shedding mechanisms and magnitude of eDNA from source populations and biogeomorphic processes that influence eDNA transport.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0304323","usgsCitation":"Sansom, B.J., Ruiz-Ramos, D.V., Thompson, N., Roberts, M.O., Taylor, Z., Ortiz, K., Jones, J.W., Richter, C.A., and Klymus, K.E., 2024, Detection and transport of environmental DNA from two federally endangered mussels: PLoS ONE, v. 19, no. 10, e0304323, 24 p., https://doi.org/10.1371/journal.pone.0304323.","productDescription":"e0304323, 24 p.","ipdsId":"IP-145382","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":466840,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0304323","text":"Publisher Index Page"},{"id":463700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri, Tennessee","otherGeospatial":"Big Piney River, Clinch River","geographicExtents":"{\n \"type\": 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Tech","active":true,"usgs":false}],"preferred":false,"id":917886,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ortiz, Katie","contributorId":317917,"corporation":false,"usgs":false,"family":"Ortiz","given":"Katie","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":917887,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Jess W.","contributorId":245826,"corporation":false,"usgs":false,"family":"Jones","given":"Jess","email":"","middleInitial":"W.","affiliations":[{"id":49337,"text":"U.S. Fish and Wildlife Service, Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":917888,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richter, Catherine A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":138994,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":917889,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":917890,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70263932,"text":"70263932 - 2024 - Reproductive ecology and egg parasitism of the Samoan swallowtail butterfly","interactions":[],"lastModifiedDate":"2025-02-28T15:18:36.783787","indexId":"70263932","displayToPublicDate":"2024-10-17T09:12:29","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":"Reproductive ecology and egg parasitism of the Samoan swallowtail butterfly","docAbstract":"We investigated the reproductive ecology and effects of egg parasitism on the Samoan swallowtail butterfly (Papilio godeffroyi), which survives only on Tutuila Island, American Samoa, after having disappeared from the much larger islands of Upolu and Savai‘i in independent Samoa. During monthly surveys of its only known host plant, Micromelum minutum, across eight sites in 2013 and 2014, we collected eggs, eggshells, larvae, pupae, and pupal exuviae. Live specimens were reared under laboratory conditions to determine reproductive outcomes, developmental rates, and sex ratios, as well as parasitoid attack frequencies, brood sizes, and sex ratios. Sixty-six of 448 (14.7%) eggs produced larvae, 47 of which became adults. The sex ratio was approximately even overall and within each developmental stage. Eggs were slightly larger on individual host trees and in host tree stands that yielded more eggs per unit of foliage, indicating that ovipositing females responded to some features of host trees and stands. Eggs hatching female or male larvae were similar in size, and the sexes developed at similar rates. A newly described species of parasitoid wasp, Ooencyrtus pitosina (Encyrtidae), emerged from 73.6% of 382 butterfly eggs that failed to hatch in the laboratory (62.7% of 448 eggs overall). Forty-one other eggs contained dead parasitoid larvae. An additional, unidentified Ooencyrtus wasp species emerged from a single P. godeffroyi egg. No parasitoids were reared from P. godeffroyi larvae or pupae. Of 656 P. godeffroyi eggshells collected in the field and examined in the laboratory, 62.2% showed signs of having been parasitized by O. pitosina. There was no evidence that parasitism rates were density-dependent. O. pitosina brood sizes ranged from 1 to 5, with the sex ratio skewed toward females (2.40 F:1.00 M). Larger parasitoid broods were associated with slightly larger host eggs, indicating that female wasps may adjust brood size according to host egg size or that fewer wasp larvae are able to complete development in smaller eggs. Techniques used to rear both P. godeffroyi and O. pitosina in the laboratory could be applied to a captive-rear, wild-release program, which may facilitate reestablishment of the species in Samoa.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70032","usgsCitation":"Banko, P.C., Schmaedick, M.A., Peck, R., Miles, A.C., and Leifi, N., 2024, Reproductive ecology and egg parasitism of the Samoan swallowtail butterfly: Ecosphere, v. 15, no. 10, e70032, 21 p., https://doi.org/10.1002/ecs2.70032.","productDescription":"e70032, 21 p.","ipdsId":"IP-132957","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":487581,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70032","text":"Publisher Index Page"},{"id":482635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"American Samoa","otherGeospatial":"Tutuila Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -170.54468106578662,\n -14.2049718486698\n ],\n [\n -170.85768745190572,\n -14.2049718486698\n ],\n [\n -170.85768745190572,\n -14.400876398944945\n ],\n [\n -170.54468106578662,\n -14.400876398944945\n ],\n [\n -170.54468106578662,\n -14.2049718486698\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":929167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmaedick, Mark A.","contributorId":167127,"corporation":false,"usgs":false,"family":"Schmaedick","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":24622,"text":"Division of Community and Natural Resources, American Samoa Community College","active":true,"usgs":false}],"preferred":false,"id":929168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Robert W. 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":193088,"corporation":false,"usgs":false,"family":"Peck","given":"Robert W.","affiliations":[],"preferred":false,"id":929169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miles, Adam C.","contributorId":139982,"corporation":false,"usgs":false,"family":"Miles","given":"Adam","email":"","middleInitial":"C.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":929170,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leifi, Niela","contributorId":317262,"corporation":false,"usgs":false,"family":"Leifi","given":"Niela","email":"","affiliations":[{"id":13353,"text":"American Samoa Community College","active":true,"usgs":false}],"preferred":false,"id":929171,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70260371,"text":"70260371 - 2024 - Egg size scales negatively with system size in a periodic fish species","interactions":[],"lastModifiedDate":"2024-10-31T12:12:09.642237","indexId":"70260371","displayToPublicDate":"2024-10-17T07:08:09","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":"Egg size scales negatively with system size in a periodic fish species","docAbstract":"Optimal egg size theory implies that female organisms balance between fecundity and individual offspring investment according to their environment. Past interspecific studies suggest that fishes in large marine systems generally produce smaller eggs than those in small freshwater systems. We tested whether intraspecific egg size variation reflected a similar pattern by comparing egg size among yellow perch (Perca flavescens) populations inhabiting a range of system sizes. In 2018, 2019, and 2023, we collected yellow perch egg samples from 12 locations in systems ranging in surface area from 37 to 5,390,492 ha. First, we found that egg diameter significantly increased with maternal total length in five of eight individually tested populations. After accounting for these maternal effects, we found a significant interaction, where females inhabiting larger lakes, such as the main basins of Lakes Erie and Michigan, produced smaller eggs than those in smaller inland lakes, and the greatest differences were demonstrated among females of greater total length. This egg size variation in the largest females is consistent with interspecific egg size comparisons between marine and freshwater fishes. However, by examining a single species across vastly different environments, we were able to support theoretical expectations that maternal investment in offspring should vary with environmental conditions controlling early-life resource acquisition and competition.
Chemical immobilization is commonly used to capture and handle free-ranging elk (Cervus canadensis). Butorphanol-azaperone-medetomidine (BAM) and nalbuphine-medetomidine-azaperone (NalMed-A) are compounded drug combinations that are lower-scheduled in the US than drugs historically used for elk immobilizations. We compared BAM and NalMed-A for immobilization of free-ranging elk using free-darting and Clover trapping. From January 2020 to April 2022, 196 female elk were immobilized in Pennsylvania, USA. We report vital rates, induction and recovery times, and the need for supplemental drugs. We built mixed-effects logistic regression models to describe differences between drug choice based on induction and recovery times, capture method, and individual variation. Several models were competing, including our null model, which suggests that BAM and NalMed-A are comparable based on the parameters we evaluated. Supplemental drug administration was more frequently needed in NalMed-A immobilizations (21.2%) than in BAM immobilizations (9.0%). Overall, we found minor differences between BAM and NalMed-A, both of which appear to be effective for immobilizing elk in both free-darting and Clover trapping scenarios when performing moderately invasive, minimally painful procedures on free-ranging elk.
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The composition of the gut microbial community can be influenced by factors such as diet, environment, and evolutionary history (phylosymbiosis). However, the relative influence of these factors is unknown in most bird species. Furthermore, phylosymbiosis studies have largely focused on clades that diverged tens of millions of years ago, and little is known about the degree of gut microbiome divergence in more recent species radiations. This study explores the drivers of microbiome variation across the unique and recent Hawaiian honeycreeper radiation (Fringillidae: Drepanidinae). Fecal samples were collected from 14 extant species spanning the main islands of the Hawaiian archipelago and were sequenced using three metabarcoding markers to characterize the gut microbiome, invertebrate diet, and plant diet of Hawaiian honeycreepers. We then used these metabarcoding data and the honeycreeper host phylogeny to evaluate their relative roles in shaping the gut microbiome. Microbiome variation across birds was highly individualized; however, source island had a small but significant effect on microbiome structure. The microbiomes did not recapitulate the host phylogenetic tree, indicating that evolutionary history does not strongly influence microbiome structure in the honeycreeper clade. These results expand our understanding of the roles of diet, geography, and phylogeny on avian microbiome structure, while also providing important ecological information about the diet and gut microbiota of wild Hawaiian honeycreepers.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70372","usgsCitation":"Constantini, M., Videvall, E., Foster, J.T., Medeiros, M., Gillece, J., Paxton, E.H., Crampton, L.H., Mounce, H., Wang, A., Fleischer, R., Campana, M.G., and Reed, F., 2024, The role of geography, diet, and host phylogeny on the gut microbiome in the Hawaiian honeycreeper radiation: Ecology and Evolution, v. 14, e70372, 14 p., https://doi.org/10.1002/ece3.70372.","productDescription":"e70372, 14 p.","ipdsId":"IP-155136","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":488923,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70372","text":"Publisher Index Page"},{"id":484019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Hawaii, Kauai, Maui, Oahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.66985178542157,\n 18.89276848502115\n ],\n [\n -154.74303312848033,\n 19.495595752059018\n ],\n [\n -155.28397786988577,\n 20.05215215093203\n ],\n [\n -155.87180448887966,\n 20.302640178644452\n ],\n [\n -155.9475367526764,\n 20.146978711913434\n ],\n [\n -155.8465604009473,\n 19.99455090269757\n ],\n [\n -156.11342647337403,\n 19.713019537755727\n ],\n [\n -155.93311155957218,\n 19.311916810099888\n ],\n [\n -155.92950526129619,\n 19.042829610401697\n ],\n [\n -155.66985178542157,\n 18.89276848502115\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.3722646338023,\n 20.537038724150264\n ],\n [\n -155.9214773492977,\n 20.705800411179894\n ],\n [\n -156.1270363510318,\n 20.887852194901882\n ],\n [\n -156.29292607172943,\n 20.96869342012056\n ],\n [\n -156.47324098553128,\n 20.92490983762191\n ],\n [\n -156.60306772346857,\n 21.06295295471304\n ],\n [\n -156.7328944614059,\n 20.93838307314344\n ],\n [\n -156.58503623208836,\n 20.74290283953337\n ],\n [\n -156.4948787751875,\n 20.766508740136615\n ],\n [\n -156.42996540621883,\n 20.540415789026625\n ],\n [\n -156.3722646338023,\n 20.537038724150264\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.98292574949375,\n 21.72380378424768\n ],\n [\n -158.1249029759175,\n 21.605198720082143\n ],\n [\n -158.29718994730803,\n 21.587399556718097\n ],\n [\n -158.2126417113478,\n 21.44344278289472\n ],\n [\n -158.1711652182353,\n 21.366211480571323\n ],\n [\n -158.10097422989105,\n 21.27258820888865\n ],\n [\n -157.86806776856685,\n 21.27556129335568\n ],\n [\n -157.78990053154703,\n 21.223523648361706\n ],\n [\n -157.64951855485842,\n 21.25920858557886\n ],\n [\n -157.62878030830223,\n 21.311233619422424\n ],\n [\n -157.71811429346764,\n 21.46422884830224\n ],\n [\n -157.97175900134815,\n 21.72824957544867\n ],\n [\n -157.98292574949375,\n 21.72380378424768\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -159.28762765501313,\n 22.204948463194498\n ],\n [\n -159.50442094963566,\n 22.242577564337466\n ],\n [\n -159.70540639985856,\n 22.20076682884681\n ],\n [\n -159.8205778376268,\n 22.035492835382\n ],\n [\n -159.7550881965428,\n 21.939168277549683\n ],\n [\n -159.4795800512934,\n 21.838586108572173\n ],\n [\n -159.3169850803265,\n 21.920314526660107\n ],\n [\n -159.27407807409924,\n 22.104554899555808\n ],\n [\n -159.28762765501313,\n 22.204948463194498\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2024-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Constantini, Maria","contributorId":352899,"corporation":false,"usgs":false,"family":"Constantini","given":"Maria","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":932386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Videvall, Elin","contributorId":258059,"corporation":false,"usgs":false,"family":"Videvall","given":"Elin","email":"","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":932387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, Jeffrey T.","contributorId":177905,"corporation":false,"usgs":false,"family":"Foster","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":932388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Medeiros, Matthew","contributorId":352901,"corporation":false,"usgs":false,"family":"Medeiros","given":"Matthew","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":932389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gillece, John","contributorId":352903,"corporation":false,"usgs":false,"family":"Gillece","given":"John","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":932390,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":932391,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crampton, Lisa H.","contributorId":192559,"corporation":false,"usgs":false,"family":"Crampton","given":"Lisa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":932392,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mounce, Hannah","contributorId":352905,"corporation":false,"usgs":false,"family":"Mounce","given":"Hannah","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":932393,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wang, Alexander","contributorId":344103,"corporation":false,"usgs":false,"family":"Wang","given":"Alexander","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":932394,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fleischer, Robert C.","contributorId":258062,"corporation":false,"usgs":false,"family":"Fleischer","given":"Robert C.","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":932395,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Campana, Michael G.","contributorId":258060,"corporation":false,"usgs":false,"family":"Campana","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":932396,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Reed, Floyd","contributorId":352907,"corporation":false,"usgs":false,"family":"Reed","given":"Floyd","affiliations":[{"id":47560,"text":"University of Hawaii Manoa","active":true,"usgs":false}],"preferred":false,"id":932397,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70273423,"text":"70273423 - 2024 - Characterizing the areal extent of PFAS contamination in fish species downgradient of AFFF source zones","interactions":[],"lastModifiedDate":"2026-01-13T15:29:47.122869","indexId":"70273423","displayToPublicDate":"2024-10-16T09:24:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the areal extent of PFAS contamination in fish species downgradient of AFFF source zones","docAbstract":"Most monitoring programs next to large per- and polyfluoroalkyl substances (PFAS) sources focus on drinking water contamination near source zones. However, less is understood about how these sources affect downgradient hydrological systems and food webs. Here, we report paired PFAS measurements in water, sediment, and aquatic biota along a hydrological gradient away from source zones contaminated by the use of legacy aqueous film-forming foam (AFFF) manufactured using electrochemical fluorination. Clustering analysis indicates that the PFAS composition characteristic of AFFF is detectable in water and fishes >8 km from the source. Concentrations of 38 targeted PFAS and extractable organofluorine (EOF) decreased in fishes downgradient of the AFFF-contaminated source zones. However, PFAS concentrations remained above consumption limits at all locations within the affected watershed. Perfluoroalkyl sulfonamide precursors accounted for approximately half of targeted PFAS in fish tissues, which explain >90% of EOF across all sampling locations. Suspect screening analyses revealed the presence of a polyfluoroketone pharmaceutical in fish species, and a fluorinated agrochemical in water that likely does not accumulate in biological tissues, suggesting the presence of diffuse sources such as septic system and agrochemical inputs throughout the watershed in addition to AFFF contamination. Based on these results, monitoring programs that consider all hydrologically connected regions within watersheds affected by large PFAS sources would help ensure public health protection.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c07016","usgsCitation":"Pickard, H.M., Ruyle, B.J., Haque, F., Logan, J.M., LeBlanc, D.R., Vojta, S., and Sunderland, E.M., 2024, Characterizing the areal extent of PFAS contamination in fish species downgradient of AFFF source zones: Environmental Science & Technology, v. 58, no. 43, p. 19440-19453, https://doi.org/10.1021/acs.est.4c07016.","productDescription":"14 p.","startPage":"19440","endPage":"19453","ipdsId":"IP-168224","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":498694,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11526379","text":"External Repository"},{"id":498583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.54,\n 41.71\n ],\n [\n -70.54,\n 41.56\n ],\n [\n -70.44,\n 41.56\n ],\n [\n -70.44,\n 41.71\n ],\n [\n -70.54,\n 41.71\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"58","issue":"43","noUsgsAuthors":false,"publicationDate":"2024-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Pickard, Heidi M.","contributorId":365051,"corporation":false,"usgs":false,"family":"Pickard","given":"Heidi","middleInitial":"M.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":953641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruyle, Bridger J.","contributorId":365053,"corporation":false,"usgs":false,"family":"Ruyle","given":"Bridger","middleInitial":"J.","affiliations":[{"id":53026,"text":"Carnegie Institute for Science","active":true,"usgs":false}],"preferred":false,"id":953642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haque, Faiz","contributorId":365056,"corporation":false,"usgs":false,"family":"Haque","given":"Faiz","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":953643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Logan, John M.","contributorId":365058,"corporation":false,"usgs":false,"family":"Logan","given":"John","middleInitial":"M.","affiliations":[{"id":39892,"text":"Massachusetts Division of Marine Fisheries","active":true,"usgs":false}],"preferred":false,"id":953644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":219907,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"","middleInitial":"R.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vojta, Simon","contributorId":304335,"corporation":false,"usgs":false,"family":"Vojta","given":"Simon","email":"","affiliations":[{"id":66031,"text":"University of Rhode Island, Narragansett, RI, USA","active":true,"usgs":false}],"preferred":false,"id":953646,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sunderland, Elsie M.","contributorId":365063,"corporation":false,"usgs":false,"family":"Sunderland","given":"Elsie","middleInitial":"M.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":953647,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70259583,"text":"sir20245093 - 2024 - Conceptualization and simulation of groundwater flow and groundwater availability in the Boone and Roubidoux aquifers in northeastern Oklahoma, 1980–2017","interactions":[],"lastModifiedDate":"2025-12-23T21:43:15.225924","indexId":"sir20245093","displayToPublicDate":"2024-10-16T09:21:46","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5093","displayTitle":"Conceptualization and Simulation of Groundwater Flow and Groundwater Availability in the Boone and Roubidoux Aquifers in Northeastern Oklahoma, 1980–2017","title":"Conceptualization and simulation of groundwater flow and groundwater availability in the Boone and Roubidoux aquifers in northeastern Oklahoma, 1980–2017","docAbstract":"Oklahoma Groundwater Law (Oklahoma Statute § 82-1020.5) requires that the Oklahoma Water Resources Board conduct hydrologic investigations to determine the maximum annual yield for the State’s groundwater basins. The Boone and Roubidoux aquifers (also known as the Springfield Plateau aquifer and Ozark aquifer, respectively) are bedrock aquifers that extend from northeastern Oklahoma into Kansas, Arkansas, and Missouri. At present (2024), the Oklahoma Water Resources Board has yet to legally issue orders for the final determination of maximum annual yields for the Boone and Roubidoux aquifers. To support determination of a maximum annual yield, the U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, developed a hydrogeologic framework, a conceptual groundwater-flow model, and a calibrated numerical groundwater-flow model for the Boone and Roubidoux aquifers.
Three types of groundwater-availability scenarios were simulated by using the calibrated numerical model. These scenarios were used to (1) estimate equal-proportionate-share groundwater withdrawal rates (groundwater withdrawal applied equally over the aquifer), (2) quantify the potential effects of projected groundwater withdrawals on groundwater storage over a 50-year period, and (3) simulate the potential effects of a hypothetical 10-year drought. For the Boone aquifer, equal-proportionate-share groundwater withdrawal rates were 1.10, 0.98, and 0.96 acre-feet per acre per year for the 20-, 40-, and 50-year scenarios, respectively. For the Roubidoux aquifer, equal-proportionate-share groundwater withdrawal rates were 1.76, 1.34, and 1.25 acre-feet per acre per year for the 20-, 40-, and 50-year simulations, respectively. For the 50-year scenarios, stream seepage was minimally affected. Over the 10-year drought scenario, groundwater storage in the Boone and Roubidoux aquifers decreased by 660,451 acre-feet (6.7 percent) and 508,472 acre-feet (1.0 percent), respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245093","issn":"2328-0328","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Trevisan, A.R., Russell, C.A., Lockmiller, H.A., Wagner, D.L., Correll, J.S., and Knierim, K.J., 2024, Conceptualization and simulation of groundwater flow and groundwater availability in the Boone and Roubidoux aquifers in northeastern Oklahoma, 1980–2017: U.S. Geological Survey Scientific Investigations Report 2024–5093, 105 p., https://doi.org/10.3133/sir20245093.","productDescription":"Report: xiv, 105 p.; Data Release","numberOfPages":"124","onlineOnly":"Y","ipdsId":"IP-142594","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":462876,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245093/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5093 HTML"},{"id":462875,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5093/sir20245093.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5093 XML"},{"id":462874,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5093/sir20245093.pdf","size":"38.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5093"},{"id":462873,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5093/images"},{"id":462872,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5093/coverthb.jpg"},{"id":462877,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KWWUAV","text":"USGS Data Release","linkHelpText":"- MODFLOW-NWT model used for the simulation of groundwater flow and analysis of groundwater availability in the Boone and Roubidoux aquifers in northeastern Oklahoma, 1980–2017"},{"id":497943,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117647.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oklahoma","otherGeospatial":"Boone and Roubidoux aquifers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.61835569487307,\n 37.340465151367\n ],\n [\n -95.61835569487307,\n 34.999403485947965\n ],\n [\n -93.99237913237286,\n 34.999403485947965\n ],\n [\n -93.99237913237286,\n 37.340465151367\n ],\n [\n -95.61835569487307,\n 37.340465151367\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"For more information about this publication, contact
Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754-4501
For additional information, visit
https://www.usgs.gov/centers/ot-water
Contact Us- USGS Publications Warehouse
","tableOfContents":"Knowledge of snow and firn-density change is needed to use elevation-change measurements to estimate glacier mass change. Additionally, firn-density evolution on glaciers is closely connected to meltwater percolation, refreezing and runoff, which are key processes for glacier mass balance and hydrology. Since 2016, the U.S. Geological Survey Benchmark Glacier Project has recovered firn cores from a site on Wolverine Glacier in Alaska's Kenai Mountains. We use annual horizons in repeat cores to track firn densification and meltwater retention over seasonal and interannual timescales, and we use density measurements to quantify how the firn air content (FAC) changes through time. The results suggest the firn is densifying due primarily to compaction rather than refreezing. Liquid-water retention in the firn is transient, likely due to gravity-fed drainage and irreducible-water-content decreases that accompany decreasing porosity. We show that the uncertainty (±60 kg m−3) in the commonly used volume-to-mass conversion factor of 850 kg m−3 is an underestimation when glacier-wide FAC variability exceeds 12% of the glacier-averaged height change. Our results demonstrate how direct measurements of firn properties on mountain glaciers can be used to better quantify the uncertainty in geodetic volume-to-mass conversions.
After detecting chronic wasting disease (CWD) in white-tailed deer (Odocoileus virginianus) in Hampshire County, West Virginia, USA, in 2005, we investigated the change of CWD apparent prevalence and potential factors influencing infection risk during the invasion front. Over eight sampling years (2006–2012 and 2017) during a 12-yr period within a 101-km2-area monitoring zone, we sampled and tested a total of 853 deer for CWD by ELISA and immunohistochemistry. Bayesian logistic regression of risk factors included collection year, age class, sex, and adjusted body weight (weight after accounting for sex, age, kidney fat index, and number of fetuses). In the whole-herd model (n=634), collection year, age, and adjusted body weight were associated with increased odds of CWD, whereas an age-weight interaction had a negative relationship. We found that males drove the positive associations with age and adjusted body weight, whereas females were responsible for the negative interaction effect. These findings suggest potential behavioral and physiological mechanisms related to sex that may influence CWD exposure. Older males exhibited higher CWD prevalence, aligning with previous studies. Notably, the novel finding of adjusted body weight as a risk factor in males warrants further investigation, and this study highlights the need for future research on social behavior and its role in CWD transmission within white-tailed deer populations.
Chewing lice infesting avian hosts can significantly affect host health and fitness. Here, we present quantitative data on host body condition and louse abundance observed from 121 Rough-legged Hawks (Buteo lagopus) sampled across the North American nonbreeding range. Among hawks examined, louse prevalence was 71%, with a mean abundance and intensity of 9.1 and 12.8 lice, respectively. We identified lice as Craspedorrhynchus sp., either Craspedorrhynchus dilatatus or Craspedorrhynchus taurocephalus, dependent on future taxonomic revision of the genus. Female and juvenile hawks had greater louse intensity and prevalence compared with male and adult hawks, respectively. Host body condition, measured as a breast muscle score (keel score), was negatively correlated with louse abundance after controlling for host age and sex. Possible explanations for these patterns include the following: sex-biased louse transfer between adults and nestlings, when female nestlings experience increased transfer loads; body size differences between males and females, when females are larger than males in each life stage; and preening limitations in females and juveniles, when both spend more time hunting and less time preening relative to adult males. Our results corroborate previous studies suggesting that the primary sources of intraspecific variation in louse abundance are host body size and preening limitations.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/jwd-d-24-00013","usgsCitation":"Maron, M., Paprocki, N., Owen, J., and Conway, C.J., 2024, Differential effects of chewing lice on body condition across host age and sex in Rough-legged Hawks (Buteo Lagopus): Journal of Wildlife Diseases, v. 60, no. 4, p. 991-995, https://doi.org/10.7589/jwd-d-24-00013.","productDescription":"5 p.","startPage":"991","endPage":"995","ipdsId":"IP-162177","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485843,"rank":1,"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 -170.1598216010118,\n 71.95867731376902\n ],\n [\n -165.74787299325868,\n 53.89371054531697\n ],\n [\n -141.4971585569417,\n 57.25745553484542\n ],\n [\n -133.93666437649375,\n 52.521083074829605\n ],\n [\n -122.56008714416436,\n 32.51903886804273\n ],\n [\n -79.5704947485521,\n 23.576545573990188\n ],\n [\n -46.70173778622885,\n 50.99005180145423\n ],\n [\n -101.05717607199908,\n 69.50239662535326\n ],\n [\n -170.1598216010118,\n 71.95867731376902\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Maron, Mason W.","contributorId":355053,"corporation":false,"usgs":false,"family":"Maron","given":"Mason W.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":936797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paprocki, Neil","contributorId":355054,"corporation":false,"usgs":false,"family":"Paprocki","given":"Neil","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":936798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Owen, Jeb P.","contributorId":355055,"corporation":false,"usgs":false,"family":"Owen","given":"Jeb P.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":936799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70259483,"text":"ofr20241066 - 2024 - Geospatial PDF map of the compilation of GIS data for the mineral industries of select countries in the Indo-Pacific region","interactions":[],"lastModifiedDate":"2024-10-16T10:51:46.144478","indexId":"ofr20241066","displayToPublicDate":"2024-10-15T13:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1066","displayTitle":"Geospatial PDF Map of the Compilation of GIS Data for the Mineral Industries of Select Countries in the Indo-Pacific Region","title":"Geospatial PDF map of the compilation of GIS data for the mineral industries of select countries in the Indo-Pacific region","docAbstract":"In 2024, the U.S. Geological Survey's (USGS) National Minerals Information Center (NMIC) completed the project titled \"Compilation of geospatial data for the mineral industries of select countries in the Indo-Pacific.\" This project aimed to leverage the expertise and capabilities of the NMIC to collect, synthesize, and interpret geospatial data to inform on the extractive resources of select countries in the Indo-Pacific region (area of study) and expand the NMIC's understanding on the impact of mineral industry of these countries in the global economy. The 19 countries of interest in the Indo-Pacific study area include Bangladesh, Bhutan, Brunei, Burma, Fiji, Malaysia, Mongolia, Nauru, New Caledonia, New Zealand, Papua New Guinea, Philippines, Singapore, Solomon Islands, South Korea (Republic of Korea), Sri Lanka, Taiwan, Timor-Leste, and Vietnam. The primary objective of this effort was to create a fully attributed Geographic Information System (GIS) portraying existing mining infrastructure, resources, and production capacities across the Indo-Pacific study area as well as highlight mineral production and processing sites under development and potential areas of future extractive industry operations and development in the region. The compiled GIS geodatabase with supporting documentation including comprehensive metadata was published as a USGS data release titled \"Compilation of Geospatial Data (GIS) for the Mineral Industries of Select Countries in the Indo-Pacific.\"
This georeferenced portable document format (GeoPDF) map sheet presents a new geographic information product containing a partial representation of the GIS data. This GeoPDF map provides a visual comparison of the distribution of mineral industry GIS data, which contributes to a deeper understanding of the intersections and complexities of the extractive industries within the select countries in the Indo-Pacific region.
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Zealand\"}}]}","contact":"Director, National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Grassland birds are under threat worldwide due to loss of habitat to agriculture. Prairie strips are a new agricultural conservation practice composed of linear strips of reconstructed diverse, native, herbaceous, perennial vegetation designed to promote land sharing among agriculture and biodiversity, while also addressing soil and water conservation goals. We evaluated bird community response to establishment of prairie strips on commercial row-crop fields (corn [(Zea mays] and soybean [Glycine max]) in Iowa, USA compared to controls fields without prairie strips, from 2015 to 2020. We found a 2.94-fold higher density of grassland birds on fields with prairie strips compared to control fields, and a 1.87-fold higher density of birds overall. Time since prairie strip establishment was a significant predictor of grassland bird density, with significant increases between years 1 and 2 and years 3 and 4. Species with the strongest positive response to prairie strips were Red-winged Blackbird (Agelaius phoeniceus), Common Yellowthroat (Geothlypis trichas), Western Meadowlark (Sturnella neglecta) and two species of greatest conservation need: Dickcissel (Spiza americana) and Eastern Meadowlark (Sturnella magna). Diversity measures (e.g., Shannon’s and Simpson’s indices) did not differ between fields with prairie strips versus those without. Prairie strips provide quality breeding habitat for a suite of species, including grassland species and those of conservation concern. While improving several bird community measures, prairie strips do not provide habitat for area-sensitive grassland birds. Larger grassland patches are needed, potentially managed as land-sparing reserves, to achieve overall biodiversity goals in agricultural landscapes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2024.109075","usgsCitation":"Giese, J.C., Schulte, L.A., and Klaver, R.W., 2024, Bird community response to field-level integration of prairie strips: Agriculture, Ecosystems and Environment, v. 374, 109075, 12 p., https://doi.org/10.1016/j.agee.2024.109075.","productDescription":"109075, 12 p.","ipdsId":"IP-162780","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466844,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agee.2024.109075","text":"Publisher Index Page"},{"id":433577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"374","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Giese, Jordan C.","contributorId":343192,"corporation":false,"usgs":false,"family":"Giese","given":"Jordan","email":"","middleInitial":"C.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":910663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulte, Lisa A.","contributorId":177987,"corporation":false,"usgs":false,"family":"Schulte","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":910664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":910665,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263321,"text":"70263321 - 2024 - Complex interactions of deer herbivory, soil chemistry, and competing vegetation explain oak–hickory forest tree regeneration in central Pennsylvania, USA","interactions":[],"lastModifiedDate":"2025-02-06T15:48:25.819339","indexId":"70263321","displayToPublicDate":"2024-10-15T09:42:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Complex interactions of deer herbivory, soil chemistry, and competing vegetation explain oak–hickory forest tree regeneration in central Pennsylvania, USA","docAbstract":"The root causes of forest tree regeneration failure are difficult to resolve, although numerous studies show ungulate herbivory, soil conditions, and competition from undesirable vegetation as likely contributors. To better understand the relative importance of each issue, we conducted a 7-year manipulative experiment to assess the interactive effects of white-tailed deer (Odocoileus virginianus) herbivory, soil acidity, and competing vegetation on tree regeneration in oak–hickory forests of central Pennsylvania, USA. Outcomes depended on initial tree seedling abundance, and all three factors had significant interactions. At low initial seedling abundance, fencing resulted in the greatest increase, but all treatments had a positive effect on seedling growth and abundance. At higher initial seedling abundance, abundance failed to recover 7 years after herbicide treatment and soil pH was an important predictor. When soil pH was >4.6 from lime application, seedling growth and abundance in unfenced controls with high initial abundance was comparable to the fenced-only treatment. Competing vegetation, assumed to be a symptom of excessive, long-term deer herbivory, does not seem to be the primary factor limiting tree regeneration in our study area. Ameliorating acid deposition warrants greater consideration as a management action because it could provide long-lasting benefits compared to short-term fence installations.
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2024 - The interplay of future solar energy, land cover change, and their projected impacts on natural lands and croplands in the US","interactions":[],"lastModifiedDate":"2024-12-12T15:18:43.620462","indexId":"70261501","displayToPublicDate":"2024-10-15T08:10:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The interplay of future solar energy, land cover change, and their projected impacts on natural lands and croplands in the US","docAbstract":"Projections for deep decarbonization require large amounts of solar energy, which may compete with other land uses such as agriculture, urbanization, and conservation of natural lands. Existing capacity expansion models do not integrate land use land cover change (LULC) dynamics into projections. We explored the interaction between projected LULC, solar photovoltaic (PV) deployment, and solar impacts on natural lands and croplands by integrating projections of LULC with a model that can project future deployment of solar PV with high spatial resolution for the conterminous United States. We used scenarios of LULC projections from the Intergovernmental Panel on Climate Change Special Report on Emission Scenarios from 2010 to 2050 and two electricity grid scenarios to model future PV deployment and compared those results against a baseline that held 2010 land cover constant through 2050. Though solar PV's overall technical potential was minimally impacted by LULC scenarios, deployed PV varied by −16.5 to 11.6 % in 2050 from the baseline scenario. Total land requirements for projected PV were similar to other studies, but measures of PV impacts on natural systems depended on the underlying land change dynamics occurring in a scenario. The solar PV deployed through 2050 resulted in 1.1 %–2.4 % of croplands and 0.3 %–0.7 % of natural lands being converted to PV. However, the deepest understanding of PV impacts and interactions with land cover emerged when the complete net gains and losses from all land cover change dynamics, including PV, were integrated. For example, one of the four LULC projections allows for high solar development and a net gain in natural lands, even though PV drives a larger percentage of natural land conversion. This paper shows that integrating land cover change dynamics with energy expansion models generates new insights into trade offs between decarbonization, impacts of renewables, and ongoing land cover change.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.173872","usgsCitation":"Diffendorfer, J., Sergi, B., Lopez, A., Williams, T., Gleason, M., Ancona, Z.H., and Cole, W., 2024, The interplay of future solar energy, land cover change, and their projected impacts on natural lands and croplands in the US: Science of the Total Environment, v. 947, 173872, 11 p., https://doi.org/10.1016/j.scitotenv.2024.173872.","productDescription":"173872, 11 p.","ipdsId":"IP-163022","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":466845,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.173872","text":"Publisher Index 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