This Memo to All Banders (MTAB 106) was released in December 2023. Subjects in this memo are 1. The Chief’s Chirp 2. Alerts – Highly Pathogenic Avian Influenza, including guidance from other countries, reminder that banders cannot submit data through Bandit, only manage data; 3. Staff updates – Meeting Reports; 4. News – Golden-winged Warbler news article, Flamingo Foreign Encounters and New Bandings, Contribute to Piranga, BBL’s Fall Migration Station Wrap-up, BBL hosts Patterson Audubon; 5. A note from the permitting shelves – check your permits auxiliary authorizations; 6. A note from the supply room – double check your permit address; 7. Data management – General reminders; 8. Frequently asked questions – I recaptured a bird with a federal band, and cannot read the band numbers, what should I do?; 9. Auxiliary marker corner – Not our markers; 10. Banding and encounter highlights; 11. Message from the Ornithological Council; 12. Message to the Flyways & Associations; 13. Moments in history – BBL’s new banding setup; 14. Upcoming events; 15. Recent literature; and 16. Request for information.
","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Harvey, K., and McKay, J.L., 2023, MTAB 106, November 2023: Memo to All Banders (MTAB), 14 p.","productDescription":"14 p.","ipdsId":"IP-160145","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":431240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":431229,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/mtab-106-november-2023"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Kyra 0000-0003-4781-1874","orcid":"https://orcid.org/0000-0003-4781-1874","contributorId":296250,"corporation":false,"usgs":true,"family":"Harvey","given":"Kyra","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":906628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKay, Jennifer L. 0000-0002-8893-0231","orcid":"https://orcid.org/0000-0002-8893-0231","contributorId":296562,"corporation":false,"usgs":true,"family":"McKay","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":906629,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70251251,"text":"70251251 - 2023 - Limited role of absolute humidity in intraurban heat variability","interactions":[],"lastModifiedDate":"2024-01-31T13:11:59.94299","indexId":"70251251","displayToPublicDate":"2023-12-12T07:03:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5202,"text":"Journal of Applied Meteorology and Climatology","onlineIssn":"1558-8432","printIssn":"1558-8424","active":true,"publicationSubtype":{"id":10}},"title":"Limited role of absolute humidity in intraurban heat variability","docAbstract":"Monitoring and understanding the variability of heat within cities is important for urban planning and public health, and the number of studies measuring intraurban temperature variability is growing. Recognizing that the physiological effects of heat depend on humidity as well as temperature, measurement campaigns have included measurements of relative humidity alongside temperature. However, the role the spatial structure in humidity, independent from temperature, plays in intraurban heat variability is unknown. Here we use summer temperature and humidity from networks of stationary sensors in multiple cities in the United States to show spatial variations in the absolute humidity within these cities are weak. This variability in absolute humidity plays an insignificant role in the spatial variability of the heat index and humidity index (humidex), and the spatial variability of the heat metrics is dominated by temperature variability. Thus, results from previous studies that considered only intraurban variability in temperature will carry over to intraurban heat variability. Also, this suggests increases in humidity from green infrastructure interventions designed to reduce temperature will be minimal. In addition, a network of sensors that only measures temperature is sufficient to quantify the spatial variability of heat across these cities when combined with humidity measured at a single location, allowing for lower-cost heat monitoring networks.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JAMC-D-23-0096.1","usgsCitation":"Waugh, D.W., Zaitchik, B., Scott, A.A., Ibsen, P.C., Jenerette, G.D., Schartz, J., and Kucharik, C.J., 2023, Limited role of absolute humidity in intraurban heat variability: Journal of Applied Meteorology and Climatology, v. 62, no. 12, p. 1845-1854, https://doi.org/10.1175/JAMC-D-23-0096.1.","productDescription":"10 p.","startPage":"1845","endPage":"1854","ipdsId":"IP-149235","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467069,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/64109","text":"External Repository"},{"id":425142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waugh, Darryn W. 0000-0001-7692-2798","orcid":"https://orcid.org/0000-0001-7692-2798","contributorId":333707,"corporation":false,"usgs":false,"family":"Waugh","given":"Darryn","email":"","middleInitial":"W.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":893650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zaitchik, Benjamin 0000-0002-0698-0658","orcid":"https://orcid.org/0000-0002-0698-0658","contributorId":333708,"corporation":false,"usgs":false,"family":"Zaitchik","given":"Benjamin","email":"","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":893651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Anna A.","contributorId":333709,"corporation":false,"usgs":false,"family":"Scott","given":"Anna","email":"","middleInitial":"A.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":893652,"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":893653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenerette, G. Darrel 0000-0003-2387-7537","orcid":"https://orcid.org/0000-0003-2387-7537","contributorId":289689,"corporation":false,"usgs":false,"family":"Jenerette","given":"G.","email":"","middleInitial":"Darrel","affiliations":[{"id":13325,"text":"University of California Riverside","active":true,"usgs":false}],"preferred":false,"id":893654,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schartz, Jason","contributorId":333710,"corporation":false,"usgs":false,"family":"Schartz","given":"Jason","email":"","affiliations":[{"id":79956,"text":"SkyTruth","active":true,"usgs":false}],"preferred":false,"id":893655,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kucharik, Christopher J. 0000-0002-0400-758X","orcid":"https://orcid.org/0000-0002-0400-758X","contributorId":333711,"corporation":false,"usgs":false,"family":"Kucharik","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":79957,"text":"University of Wisconsin-Madiscon","active":true,"usgs":false}],"preferred":false,"id":893656,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70252647,"text":"70252647 - 2023 - Rapid Source Characterization of the 2023 Mw 6.8 Al Haouz, Morocco, Earthquake","interactions":[],"lastModifiedDate":"2024-04-02T12:00:15.557997","indexId":"70252647","displayToPublicDate":"2023-12-12T06:56:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17443,"text":"The Seismological Record","active":true,"publicationSubtype":{"id":10}},"title":"Rapid Source Characterization of the 2023 Mw 6.8 Al Haouz, Morocco, Earthquake","docAbstract":"The U.S. Geological Survey (USGS) National Earthquake Information Center (NEIC) estimates source characteristics of significant damaging earthquakes, aiming to place events within their seismotectonic framework. Contextualizing the 8 September 2023, Mw 6.8 Al Haouz, Morocco, earthquake is challenging, because it occurred in an enigmatic region of active surface faulting, and low seismicity yet produced significant damage and loss of life. Here, we present the rapid earthquake source products produced by the USGS NEIC, describing how the source model was derived using both seismic and geodetic observations. Our analysis indicates that the earthquake was the result of oblique‐reverse faulting in the lower crust on either a steeply north‐dipping fault or a moderately south‐dipping fault. Finite‐slip models using seismic and geodetic data reveal a compact source, with slip occurring at depths of 15–35 km. The causative fault is not apparent, because the rupture did not break the surface, and it is not possible to definitively attribute the earthquake to a known structure. The earthquake centroid depth of 25 km is noteworthy, because it shows slip extending beyond common estimates of seismogenic depth. This earthquake highlights that the seismogenic processes associated with mountain building in this wide plate boundary region are poorly understood.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230040","usgsCitation":"Yeck, W.L., Hatem, A.E., Goldberg, D.E., Barnhart, W.D., Jobe, J.A., Shelly, D.R., Villasenor, A., Benz, H., and Earle, P.S., 2023, Rapid Source Characterization of the 2023 Mw 6.8 Al Haouz, Morocco, Earthquake: The Seismological Record, v. 3, no. 4, p. 357-366, https://doi.org/10.1785/0320230040.","productDescription":"10 p.","startPage":"357","endPage":"366","ipdsId":"IP-159241","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":441434,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230040","text":"Publisher Index Page"},{"id":427297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Morocco","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -13.149953743100866,\n 28.63195342730735\n ],\n [\n -5.1958521806005535,\n 28.63195342730735\n ],\n [\n -5.1958521806005535,\n 35.40622419194092\n ],\n [\n -13.149953743100866,\n 35.40622419194092\n ],\n [\n -13.149953743100866,\n 28.63195342730735\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science 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wbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0003-0498-1697","contributorId":294678,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":897812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897814,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villasenor, Antonio","contributorId":335226,"corporation":false,"usgs":false,"family":"Villasenor","given":"Antonio","affiliations":[{"id":80350,"text":"Institut de Ciències del Mar, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":897815,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Benz, Harley","contributorId":335227,"corporation":false,"usgs":false,"family":"Benz","given":"Harley","affiliations":[{"id":80353,"text":"Emmeritus USGS","active":true,"usgs":false}],"preferred":false,"id":897816,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897817,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70252991,"text":"70252991 - 2023 - Hydration state and rheologic stratification of the lithospheric mantle beneath the North Anatolian Fault, Turkey","interactions":[],"lastModifiedDate":"2024-04-16T16:07:55.265648","indexId":"70252991","displayToPublicDate":"2023-12-11T10:55:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Hydration state and rheologic stratification of the lithospheric mantle beneath the North Anatolian Fault, Turkey","docAbstract":"We present constraints on the hydration state and rheology of the lithospheric mantle beneath the North Anatolian fault zone (NAFZ). Peridotite xenoliths from the Biyikali and Çorlu volcanic centers record deformational microstructures consistent with shearing in a lithosphere-scale transcurrent fault system. Analysis by Fourier transform infrared spectroscopy indicates that nominally anhydrous phases retain some OH−, but bulk rock concentrations are generally restricted to <50 ppm H2O by weight. From the rock microstructure, we determined differential stress magnitude and active deformation mechanism(s); combined with estimates of hydration state, we constrained the rheology. Recrystallized grain size piezometry shows that the mantle beneath the NAFZ sustained differential stresses of 10–20 MPa, largely independent of depth. The dominant deformation mechanism(s) change with depth; xenoliths extracted from shallower depths record evidence for grain size-sensitive creep possibly in the presence of melt. At intermediate depths, both dislocation creep and grain size-sensitive mechanisms were active, and we did not observe evidence for deformation in the presence of melt. The deepest samples were dominated by dislocation creep. The strong temperature sensitivity of creep mechanisms, combined with the low variability in differential stress, contributes to a stratified viscosity profile ranging from 1018 Pa s for the deepest samples to >1022 Pa s at shallower depths (assuming a melt-free rheology). Although difficult to quantify from the rock record, melt likely reduced the viscosity of the shallow lithospheric mantle. Vertical stratification in viscosity beneath the NAFZ, the result of melt-present deformation and/or transitions in the dominant deformation mechanism, has important consequences for the seismic cycle of strike-slip fault systems.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC011096","usgsCitation":"Lusk, A.D., Chatzaras, V., Aldanmaz, E., and Tikoff, B., 2023, Hydration state and rheologic stratification of the lithospheric mantle beneath the North Anatolian Fault, Turkey: Geochemistry, Geophysics, Geosystems, v. 24, no. 12, e2023GC011096, 26 p., https://doi.org/10.1029/2023GC011096.","productDescription":"e2023GC011096, 26 p.","ipdsId":"IP-154264","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":441435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc011096","text":"Publisher Index Page"},{"id":427820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Turkey","otherGeospatial":"North Anatolian fault zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 27.237539121893235,\n 41.71489189140377\n ],\n [\n 27.237539121893235,\n 40.17798050123204\n ],\n [\n 30.19518712408899,\n 40.17798050123204\n ],\n [\n 30.19518712408899,\n 41.71489189140377\n ],\n [\n 27.237539121893235,\n 41.71489189140377\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Lusk, Alexander Dmitri 0000-0002-4660-0648","orcid":"https://orcid.org/0000-0002-4660-0648","contributorId":335619,"corporation":false,"usgs":true,"family":"Lusk","given":"Alexander","email":"","middleInitial":"Dmitri","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":898867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chatzaras, Vasileios","contributorId":335621,"corporation":false,"usgs":false,"family":"Chatzaras","given":"Vasileios","email":"","affiliations":[{"id":16826,"text":"University of Sydney","active":true,"usgs":false}],"preferred":false,"id":898868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldanmaz, Ercan","contributorId":335623,"corporation":false,"usgs":false,"family":"Aldanmaz","given":"Ercan","email":"","affiliations":[{"id":80449,"text":"University of Kocaeli","active":true,"usgs":false}],"preferred":false,"id":898869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tikoff, Basil","contributorId":251800,"corporation":false,"usgs":false,"family":"Tikoff","given":"Basil","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":898870,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70253008,"text":"70253008 - 2023 - Do seeding and seedling planting result in similar restored plant communities?","interactions":[],"lastModifiedDate":"2024-04-16T15:31:55.690301","indexId":"70253008","displayToPublicDate":"2023-12-11T10:29:12","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":849,"text":"Applied Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Do seeding and seedling planting result in similar restored plant communities?","docAbstract":"Restoration practitioners often face a tradeoff between low cost but risky seeding vs expensive but more reliable seedling planting to meet revegetation goals. Knowing under what environmental and management conditions direct seeding vs seedling planting benefit different species could improve restoration practice.
We compared seed emergence to planted-seedling survival among perennial herbaceous species commonly used in restoration across eight experimental restoration sites on the Colorado Plateau, USA. We used linear models to assess relationships between emergence and survival among species, and to assess the effects of site climate and seeding pre-treatments on those relationships.
We found that among species, emergence was positively correlated with survival in the cooler sites, meaning that species with high emergence also had high survival and vice versa, but had no relationship in the hottest sites. Furthermore, pre-treatments to enhance soil moisture in seeded plots, specifically microtopography (pits) and mulch, also resulted in positive relationships between emergence and survival among species, while seeding without additional soil pre-treatments did not. Seedling planting cost 14 times as much as direct seeding alone, dropping to nine times as much when pre-treatments were combined with seeding.
Taken together, these results suggest that investments in seedling planting at hotter dryland sites, or in creating microtopography or mulching prior to seeding across sites, are likely to promote establishment success compared to simple seeding methods in degraded dryland ecosystems. These findings also identify opportunities for hybrid seeding and planting approaches that balance tradeoffs between risk and cost, respectively.
","language":"English","publisher":"Wiley","doi":"10.1111/avsc.12758","usgsCitation":"Butterfield, B.J., and Munson, S.M., 2023, Do seeding and seedling planting result in similar restored plant communities?: Applied Vegetation Science, v. 26, no. 4, e12758, 8 p., https://doi.org/10.1111/avsc.12758.","productDescription":"e12758, 8 p.","ipdsId":"IP-152987","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":427815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":898908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":898909,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250482,"text":"70250482 - 2023 - Panel review of Ground Motion Characterization Model in 2023 NSHM","interactions":[],"lastModifiedDate":"2023-12-13T12:57:53.52112","indexId":"70250482","displayToPublicDate":"2023-12-11T06:56:26","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Panel review of Ground Motion Characterization Model in 2023 NSHM","docAbstract":"The 2023 National Seismic Hazard Model (NSHM; Petersen et al., 2023) has two major components – a seismic source characterization (SSC) model and a ground motion characterization (GMC) model. The US Geological Survey (USGS) established separate panels to review and provide input on these two models. Both panels are advisory, meaning that they provide input on technical issues for consideration by the USGS NSHM team, but they do not have decision making authority. Here, we report on the activities and recommendations of the Ground Motion Characterization Panel, made up of the authors of this review. Final modeling decisions are presented in separate USGS documents, including Petersen et al., (2023) and Moschetti et al., (2023). Where modeling decisions depart from our recommendations, the rationale is explained in those publications.
Mangroves and saltmarshes are biogeochemical hotspots storing carbon in sediments and in the ocean following lateral carbon export (outwelling). Coastal seawater pH is modified by both uptake of anthropogenic carbon dioxide and natural biogeochemical processes, e.g., wetland inputs. Here, we investigate how mangroves and saltmarshes influence coastal carbonate chemistry and quantify the contribution of alkalinity and dissolved inorganic carbon (DIC) outwelling to blue carbon budgets. Observations from 45 mangroves and 16 saltmarshes worldwide revealed that >70% of intertidal wetlands export more DIC than alkalinity, potentially decreasing the pH of coastal waters. Porewater-derived DIC outwelling (81 ± 47 mmol m−2 d−1 in mangroves and 57 ± 104 mmol m−2 d−1 in saltmarshes) was the major term in blue carbon budgets. However, substantial amounts of fixed carbon remain unaccounted for. Concurrently, alkalinity outwelling was similar or higher than sediment carbon burial and is therefore a significant but often overlooked carbon sequestration mechanism.
Trade-offs exist between timing of grassland habitat management activities (e.g., weed and brush control) while also ensuring other conservation objectives (e.g., grassland bird reproductive success) are met. On land set aside for grassland conservation (e.g., lands enrolled in the U.S. Department of Agriculture Conservation Reserve Program and some state and federal wildlife management areas), federal and state agencies set time frames for land management based on avoiding disturbance of grassland bird nests. However, recent calls for considering the needs of dependent fledglings in conservation plans imply a need to evaluate whether current time frames are adequate. We used initiation and end dates for 3,257 nests of 8 obligate grassland bird species in Illinois and Wisconsin and a simulation approach for fledgling survival to estimate the potential proportion of active nests at risk when management (e.g., mowing, fire) occurred on the 1st and 15th day of May, June, July, and August during the breeding season. Management during June had the potential to impact 24–61% of nests, depending on the species. Management during July had the potential to impact 4–52% of nests, depending on the species. If disturbance occurred during August, proportionately few active nests were at risk for any species (0–9% of nests on 1 August, 0–<0.5% on 15 August). Potential proportions of fledglings at risk from management were greatest in July for 7 of the 8 species (7–18%). Our study suggests that on lands where a primary conservation objective is to increase or ensure survival of grassland birds, delaying management activities until August could be beneficial for protecting both grassland bird nests and fledglings.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1488","usgsCitation":"Wolcott, D., Herkert, J., Ribic, C., Renfrew, R., and Sample, D., 2023, Potential impacts of land-management schedules on grassland bird nests and fledglings: Wildlife Society Bulletin, v. 47, no. 4, e1488, 13 p., https://doi.org/10.1002/wsb.1488.","productDescription":"e1488, 13 p.","ipdsId":"IP-133696","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467070,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1488","text":"Publisher Index Page"},{"id":466633,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.66912495115756,\n 47.183453927178135\n ],\n [\n -93.0757093933073,\n 44.65465551296366\n ],\n [\n -91.48250681692467,\n 43.73059786881243\n ],\n [\n -91.2362227311911,\n 42.61099498472345\n ],\n [\n -90.66262445023865,\n 42.37423167904447\n ],\n [\n -91.64951497779441,\n 40.124786634200795\n ],\n [\n -90.11622450929795,\n 37.01323027575661\n ],\n [\n -87.78304601430442,\n 37.00015164460757\n ],\n [\n -87.81803121861402,\n 45.86812071071603\n ],\n [\n -92.66912495115756,\n 47.183453927178135\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-09-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolcott, Daniel M.","contributorId":349072,"corporation":false,"usgs":false,"family":"Wolcott","given":"Daniel M.","affiliations":[{"id":49550,"text":"University of Central Missouri","active":true,"usgs":false}],"preferred":false,"id":923984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herkert, James R.","contributorId":349073,"corporation":false,"usgs":false,"family":"Herkert","given":"James R.","affiliations":[{"id":39999,"text":"Illinois Audubon Society","active":true,"usgs":false}],"preferred":false,"id":923985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":923983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Renfrew, Rosalind B.","contributorId":349074,"corporation":false,"usgs":false,"family":"Renfrew","given":"Rosalind B.","affiliations":[{"id":38867,"text":"Vermont Center for Ecostudies","active":true,"usgs":false}],"preferred":false,"id":923986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sample, David W.","contributorId":349075,"corporation":false,"usgs":false,"family":"Sample","given":"David W.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":923987,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262808,"text":"70262808 - 2023 - Bee species richness through time in an urbanizing landscape of the southeastern United State","interactions":[],"lastModifiedDate":"2025-01-23T15:43:30.327723","indexId":"70262808","displayToPublicDate":"2023-12-11T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Bee species richness through time in an urbanizing landscape of the southeastern United State","docAbstract":"Compared to non-urban environments, cities host ecological communities with altered taxonomic diversity and functional trait composition. However, we know little about how these urban changes take shape over time. Using historical bee (Apoidea: Anthophila) museum specimens supplemented with online repositories and researcher collections, we investigated whether bee species richness tracked urban and human population growth over the past 118 years. We also determined which species were no longer collected, whether those species shared certain traits, and if collector behavior changed over time. We focused on Wake County, North Carolina, United States where human population size has increased over 16 times over the last century along with the urban area within its largest city, Raleigh, which has increased over four times. We estimated bee species richness with occupancy models, and rarefaction and extrapolation curves to account for imperfect detection and sample coverage. To determine if bee traits correlated with when species were collected, we compiled information on native status, nesting habits, diet breadth, and sociality. We used non-metric multidimensional scaling to determine if individual collectors contributed different bee assemblages over time. In total, there were 328 species collected in Wake County. We found that although bee species richness varied, there was no clear trend in bee species richness over time. However, recent collections (since 2003) were missing 195 species, and there was a shift in trait composition, particularly lost species were below-ground nesters. The top collectors in the dataset differed in how often they collected bee species, but this was not consistent between historic and contemporary time periods; some contemporary collectors grouped closer together than others, potentially due to focusing on urban habitats. Use of historical collections and complimentary analyses can fill knowledge gaps to help understand temporal patterns of species richness in taxonomic groups that may not have planned long-term data.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17060","usgsCitation":"Ruzi, S., Youngsteadt, E., Cherveny, A., Kettenbach, J., Levenson, H., Carley, D., Collazo, J.A., and Irwin, R., 2023, Bee species richness through time in an urbanizing landscape of the southeastern United State: Global Change Biology, v. 30, no. 1, e17060, 18 p., https://doi.org/10.1111/gcb.17060.","productDescription":"e17060, 18 p.","ipdsId":"IP-157583","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17060","text":"Publisher Index Page"},{"id":480993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Wake County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-78.5465,36.0218],[-78.4307,35.9795],[-78.3969,35.9387],[-78.3567,35.9318],[-78.351,35.909],[-78.3385,35.9052],[-78.3347,35.8997],[-78.3302,35.896],[-78.3245,35.896],[-78.3177,35.8963],[-78.3137,35.8976],[-78.3081,35.8935],[-78.2948,35.8797],[-78.292,35.8792],[-78.2893,35.8741],[-78.2859,35.8713],[-78.2831,35.8681],[-78.2782,35.8631],[-78.2749,35.8567],[-78.2756,35.8494],[-78.2707,35.843],[-78.2657,35.8361],[-78.2652,35.8325],[-78.2613,35.8315],[-78.2591,35.826],[-78.2599,35.8183],[-78.3731,35.7523],[-78.4635,35.7072],[-78.4686,35.7087],[-78.4709,35.7078],[-78.4732,35.7046],[-78.4778,35.7011],[-78.5716,35.6255],[-78.708,35.5191],[-78.9196,35.5857],[-78.9956,35.6104],[-78.9796,35.6656],[-78.9439,35.7515],[-78.9421,35.756],[-78.9403,35.7615],[-78.9337,35.7859],[-78.9191,35.8216],[-78.9096,35.8506],[-78.9076,35.8678],[-78.89,35.8676],[-78.8298,35.8689],[-78.8056,35.9281],[-78.7609,35.9176],[-78.751,35.9307],[-78.7372,35.941],[-78.714,35.9729],[-78.7009,36.0068],[-78.6985,36.0131],[-78.7048,36.0091],[-78.7077,36.0087],[-78.7076,36.0132],[-78.7052,36.0223],[-78.7085,36.0287],[-78.7102,36.0287],[-78.713,36.0278],[-78.7164,36.0283],[-78.7232,36.0334],[-78.726,36.0343],[-78.7272,36.0334],[-78.7278,36.0289],[-78.7324,36.0267],[-78.7353,36.0199],[-78.7422,36.0209],[-78.75,36.026],[-78.7551,36.0283],[-78.7545,36.0301],[-78.7511,36.0323],[-78.7499,36.035],[-78.747,36.0395],[-78.7492,36.0427],[-78.7503,36.0468],[-78.7519,36.0491],[-78.7564,36.0532],[-78.7498,36.0718],[-78.7088,36.0768],[-78.6895,36.0752],[-78.5922,36.0378],[-78.5465,36.0218]]]},\"properties\":{\"name\":\"Wake\",\"state\":\"NC\"}}]}","volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruzi, Selina A.","contributorId":349803,"corporation":false,"usgs":false,"family":"Ruzi","given":"Selina A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":924835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Youngsteadt, Elsa","contributorId":349804,"corporation":false,"usgs":false,"family":"Youngsteadt","given":"Elsa","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":924836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherveny, April Hamblin","contributorId":349805,"corporation":false,"usgs":false,"family":"Cherveny","given":"April Hamblin","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":924837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kettenbach, Jessica","contributorId":349806,"corporation":false,"usgs":false,"family":"Kettenbach","given":"Jessica","affiliations":[{"id":34928,"text":"Independent Researcher","active":true,"usgs":false}],"preferred":false,"id":924838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Levenson, Hannah K.","contributorId":349807,"corporation":false,"usgs":false,"family":"Levenson","given":"Hannah K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":924839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carley, Danesha Seth","contributorId":349808,"corporation":false,"usgs":false,"family":"Carley","given":"Danesha Seth","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":924840,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924841,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Irwin, Rebecca E.","contributorId":349809,"corporation":false,"usgs":false,"family":"Irwin","given":"Rebecca E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":924842,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70250622,"text":"70250622 - 2023 - Decline in small mammal species richness in coastal-central California, 1997–2013","interactions":[],"lastModifiedDate":"2023-12-20T12:54:43.939749","indexId":"70250622","displayToPublicDate":"2023-12-10T06:49:05","publicationYear":"2023","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":"Decline in small mammal species richness in coastal-central California, 1997–2013","docAbstract":"The richness and composition of a small mammal community inhabiting semiarid California oak woodland may be changing in response to climate change, but we know little about the causes or consequence of these changes. We applied a capture-mark-recapture model to 17 years (1997–2013) of live trapping data to estimate species-specific abundances. The big-eared woodrat was the most frequently captured species in the area, contributing 58% of total captures. All small mammal populations exhibited seasonal fluctuations, whereas those of the California mouse, brush mouse, and pinyon mouse declined during the study period. We also applied a multispecies dynamic occupancy model to our small mammal detection history data to estimate species richness, occupancy ( ), detection (p), local extinction ( ), and colonization ( ) probabilities, and to discern factors affecting these parameters. We found that decreased from 0.369 ± 0.088 in 1997 to 0.248 ± 0.054 in 2013; was lower during the dry season (May–September) than the wet season (October–April) and was positively influenced by total seasonal rainfall (slope parameter, = 0.859 ± 0.371; 95% CI = 0.132–1.587). Mean mammalian species richness decreased from 11.943 ± 0.461 in 1997 to 7.185 ± 0.425 in 2013. With highly variable climatic patterns expected in the future, especially increased frequency and intensity of droughts, it is important to monitor small mammal communities inhabiting threatened California oak woodlands.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10611","usgsCitation":"Ghimirey, Y.P., Tietje, W.D., Polyakov, A.Y., Hines, J.E., and Oli, M.K., 2023, Decline in small mammal species richness in coastal-central California, 1997–2013: Ecology and Evolution, v. 13, no. 12, e10611, 11 p., https://doi.org/10.1002/ece3.10611.","productDescription":"e10611, 11 p.","ipdsId":"IP-157415","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441442,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10611","text":"Publisher Index Page"},{"id":423789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Camp Roberts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.94253263683494,\n 35.90849811107087\n ],\n [\n -120.94253263683494,\n 35.64500150778204\n ],\n [\n -120.60126981945214,\n 35.64500150778204\n ],\n [\n -120.60126981945214,\n 35.90849811107087\n ],\n [\n -120.94253263683494,\n 35.90849811107087\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghimirey, Yadav P.","contributorId":332600,"corporation":false,"usgs":false,"family":"Ghimirey","given":"Yadav","email":"","middleInitial":"P.","affiliations":[{"id":79505,"text":"Univ. of FL","active":true,"usgs":false}],"preferred":false,"id":890598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tietje, William D.","contributorId":332601,"corporation":false,"usgs":false,"family":"Tietje","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":79506,"text":"Friends of Nature, Nepal","active":true,"usgs":false}],"preferred":false,"id":890599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Polyakov, Anne Y.","contributorId":332602,"corporation":false,"usgs":false,"family":"Polyakov","given":"Anne","email":"","middleInitial":"Y.","affiliations":[{"id":79507,"text":"Univ. of CA","active":true,"usgs":false}],"preferred":false,"id":890600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oli, Madan K. 0000-0001-6944-0061","orcid":"https://orcid.org/0000-0001-6944-0061","contributorId":201302,"corporation":false,"usgs":false,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":890602,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250456,"text":"70250456 - 2023 - The Landscape Data Commons: A system for standardizing, accessing, and applying large environmental datasets for agroecosystem research and management","interactions":[],"lastModifiedDate":"2023-12-12T12:36:33.348716","indexId":"70250456","displayToPublicDate":"2023-12-10T06:34:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5490,"text":"Agricultural & Environmental Letters","onlineIssn":"2471-9625","active":true,"publicationSubtype":{"id":10}},"title":"The Landscape Data Commons: A system for standardizing, accessing, and applying large environmental datasets for agroecosystem research and management","docAbstract":"Understanding where, when, and why agroecosystems are changing requires quality information about ecosystems that span land tenure, ecological processes, and spatial scales. Over the past two decades, land management agencies and research groups have adopted a suite of standardized methods for monitoring rangelands, which have been implemented at over 85,000 monitoring locations globally. However, the ability to use these data to understand agroecosystem dynamics and change across scales and across land ownership has been limited because, until now, these data have not been available in a harmonized, accessible format for analyses, modeling, and decision-support tools. We present the Landscape Data Commons, a cyberinfrastructure platform that harmonizes and aggregates standardized agroecosystem data, enables linkages to models, and facilitates analysis and interpretation of data within decision-support tools. The Landscape Data Commons provides a community platform for users to contribute data and develop next-generation tools to support agroecosystem management through the 21st century.
In-stream barriers pose threats to fishes, including habitat loss, constraints on migration, and reduced connectivity between populations. Despite many negative consequences, barriers can serve to protect native species by limiting the spread of invasive species. For example, in the Laurentian Great Lakes, physical barriers have long been used to control invasive sea lamprey (Petromyzon marinus) populations by limiting access to potential upstream spawning and rearing habitat. Selective fish passage systems could solve this management trade-off, termed the “connectivity conundrum”, but must efficiently pass multiple native or desirable species while blocking invasive species. Designing such fish passage systems requires an understanding of the attribute dimensions of the fish community, specifically, the phenology, morphology, physiology, and behaviour of each species. Here, we describe the first comprehensive collection of sortable attributes associated with fish passage. The integrated database consists of 21 biological attributes that influence the movement and passage of 220 species in the Great Lakes, including native species, established non-native species, and unestablished but potentially invasive fishes. Data coverage varies with species, taxonomic orders, and attribute dimensions. Behavioural attributes were typically underrepresented in the literature, and the ecology of potential invaders was not well understood. The synthesis described herein is a critical step towards a holistic approach to fish passage design and may help to inform management actions related to population connectivity. The database is openly accessible online and is expected to be updated periodically.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2023.08.006","usgsCitation":"Benoit, D.M., Zielinski, D.P., Swanson, R.G., McLaughlin, R.L., Castro-Santos, T., Goodwin, R., Pratt, T.C., and Muir, A.M., 2023, FishPass sortable attribute database: Phenological, morphological, physiological, and behavioural characteristics related to passage and movement of Laurentian Great Lakes fishes: Journal of Great Lakes Research, v. 49, no. 6, 102229, 10 p., https://doi.org/10.1016/j.jglr.2023.08.006.","productDescription":"102229, 10 p.","ipdsId":"IP-152464","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":495384,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2023.08.006","text":"Publisher Index Page"},{"id":495224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United 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The historical rationale for listing this BUI as impaired relied heavily on inferred or expected impact to benthic communities based on elevated contaminant concentrations in bed sediments from past industrial and municipal discharges, hazardous-waste disposal, and pesticide usage. Previous assessments of macroinvertebrate community condition in the AOC have produced inconclusive results, and it remains unclear if contaminated sediments are impairing benthic communities. In 2021, a comprehensive assessment of macroinvertebrate community condition and sediment toxicity was conducted at eight sites in the AOC and six sites in a reference area on Oak Orchard Creek to determine if the removal criteria for this BUI have been met or if additional remedial measures are needed. The New York multi-metric index of biological integrity classified the mean community condition across AOC sites as slightly impacted, and 10-day toxicity tests with Chironomus dilutus and Hyalella azteca found no evidence of toxicity in AOC sediments. Equivalence testing indicated that community condition, and survival and growth of both test species, were not inferior in the AOC relative to the reference area. The weight of evidence from this study and other relevant datasets indicate that sediment contamination is not causing measurable impairment to benthic communities in the Eighteenmile Creek AOC.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2023.08.004","usgsCitation":"George, S.D., Baldigo, B., Collins, S.M., Clarke, D.B., and Duffy, B.T., 2023, Comprehensive assessment of macroinvertebrate community condition and sediment toxicity in the Eighteenmile Creek Area of Concern, New York, 2021: Journal of Great Lakes Research, v. 49, no. 6, 102227, 10 p., https://doi.org/10.1016/j.jglr.2023.08.004.","productDescription":"102227, 10 p.","ipdsId":"IP-151185","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":441447,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2023.08.004","text":"Publisher Index Page"},{"id":424324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Eighteenmile Creek Area of Concern","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.76802247403678,\n 43.2530939352541\n ],\n [\n -78.15600936774968,\n 43.2530939352541\n ],\n [\n -78.15600936774968,\n 43.399677287114656\n ],\n [\n -78.76802247403678,\n 43.399677287114656\n ],\n [\n -78.76802247403678,\n 43.2530939352541\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Scott M.","contributorId":333123,"corporation":false,"usgs":false,"family":"Collins","given":"Scott","email":"","middleInitial":"M.","affiliations":[{"id":79737,"text":"Niagara County Soil and Water Conservation District","active":true,"usgs":false}],"preferred":false,"id":892004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clarke, David B.","contributorId":333124,"corporation":false,"usgs":false,"family":"Clarke","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":892005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duffy, Brian T.","contributorId":272971,"corporation":false,"usgs":false,"family":"Duffy","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":892006,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70252232,"text":"70252232 - 2023 - America's most wanted fishes: Cataloging risk assessments to prioritize invasive species for management action","interactions":[],"lastModifiedDate":"2024-03-21T11:50:45.209153","indexId":"70252232","displayToPublicDate":"2023-12-09T06:48:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"America's most wanted fishes: Cataloging risk assessments to prioritize invasive species for management action","docAbstract":"Hundreds of fish species enter the United States through human intervention (e.g., importation) and some of these fishes pose a substantial risk to the nation’s assets and ecosystems. Prevention, early detection, and rapid response (EDRR) are vital to stop species invasions, but time and resources to manage the large suite of fish species that enter the nation are limited. Evaluating the risk of a species’ invasion in a location is one way to prioritize among many species for management action. Species risk assessments are often associated with information systems or are published within grey literature or peer-reviewed journal articles. Improving access to available risk assessments could help in prioritizing management action for the most potentially invasive fish species. We aggregated fish species risk assessments, synthesizing the current knowledge on the risk of fish invasions in the United States. To accomplish this, we searched information systems and conducted a literature review. We then summarized risk assessment results along with the importation statuses of fish species and identified if imported, high-risk species are managed under federal or state policy. Within the scope of the conterminous U.S., we found 98 high-risk fish species. Eighteen of these species are imported to the country, but only three species have been recently prohibited from importation according to the Lacey Act. We observed similar patterns at the scales of the Great Lakes region and Florida. Collectively, our work provides a baseline estimate of the high-risk fish invaders that enter the U.S. through importation, underscoring species to consider for priority management action, as well as a benchmark of species that lack risk assessments. Insights from this work can be enriched when joined with other invasive species information, which could be accomplished through a national EDRR information system, an information sharing hub in development by the U.S. Geological Survey.","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2024.15.1.01","usgsCitation":"Dean, E., Jordon, A., Agnew, A.C., Hernandez, N.D., Morningstar, C.R., Neilson, M., Piccolomini, S.E., Reichert, B., Wray, A.K., and Daniel, W., 2023, America's most wanted fishes: Cataloging risk assessments to prioritize invasive species for management action: Management of Biological Invasions, v. 15, no. 1, p. 1-20, https://doi.org/10.3391/mbi.2024.15.1.01.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-155055","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":441450,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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Baseline maps of coastal wetlands can be used to help assess changes. Found in the upper portion of the estuarine zone, high marsh and salt pannes/flats provide ecosystem goods and services and are particularly important to fish and wildlife. We developed the first map of high marsh and salt pannes/flats along the northern Gulf of Mexico using regional models that included spectral indices related to greenness and wetness from optical satellite imagery, elevation data, irregularly flooded wetland probability information, and synthetic aperture radar backscatter. We found the greatest relative coverage of high marsh along the Texas coast (30% to 65%) and the Florida Panhandle (40%), whereas the greatest relative coverage of salt pannes/flats was along the lower Texas coast (74%) and the middle Texas coast (15%). As part of this effort, we also developed a map that highlighted irregularly flooded wetlands dominated by Juncus roemerianus (black needlerush) for part of the study area. Both maps had an overall accuracy of around 80%. Our results advance the understanding of estuarine marsh zonation and provide a baseline for assessing future transformations.
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and conservation actions. While satellite telemetry has been successfully used to document movements of marine turtles, the large tag sizes available have limited use on smaller turtle species. We used small Argos-based satellite tags to document movement patterns of diamondback terrapins (Malaclemys terrapin), the only estuarine turtle species in North America. Movement data from ten terrapins in St. Joseph Bay, Florida were gathered between July 13, 2018 and July 22, 2021. We estimated seasonal space use using the daily locations generated from a Bayesian hierarchical state-space model to calculate minimum convex polygons (95% MCP) and kernel density estimates (50% and 95% KDE). Mean tracking duration was 125 days and mean home range size was 9.4 km2 (95% MCP) and 8.1 km2 (95% KDE). Seagrass habitat comprised 55.8% of all home ranges on average, whereas salt marsh comprised a mean of 3.0%. Mean elevation used by terrapins was − 0.13 m (95% MCP) and -0.35 m (95% KDE). Satellite telemetry provided broad-scale spatiotemporal movement and space use data; however, Argos error produced considerable noise relative to true terrapin movements given their size, speed, and behavior. Terrapin home ranges were greater than previously reported and three of the ten terrapins exhibited repeated long-distance, directed movements within the bay. Small patches of salt marsh habitat were centralized within home ranges, despite comprising only a small percentage for each terrapin. Moreover, the percentage of salt marsh present in each core use area was positively correlated with terrapin mass. Although considered an estuarine species, seagrass habitat comprised a large portion of terrapin home ranges; however, our data did not provide the detail necessary to understand how terrapins were using this habitat. As northward-expanding mangroves continue to infringe upon salt marsh habitat, there is potential for negative impacts to terrapin populations across the northern Gulf of Mexico. As salt marsh habitat continues to be infringed upon by northward-expanding mangroves impacts to terrapins across the northern Gulf of Mexico.
Of all the ways human beings have modified the planet over the last 10,000 years, habitat loss is the most important for other species. To address this most critical threat to biodiversity, governments, non-governmental actors, and the public need to know, in near real-time, where and when habitat loss is occurring. Here we present an integrated habitat modelling system at the range-wide scale for the tiger (Panthera tigris) to measure and monitor changes in tiger habitat at range-wide, national, biome, and landscape scales, as often as the underlying inputs change. We find that after nearly 150 years of decline, effective potential habitat for the tiger seems to have stabilized at around 16% of its indigenous extent (1.817 million km2). As of the 1st of January 2020, there were 63 Tiger Conservation Landscapes in the world, covering 911,920 km2 shared across ten of the 30 modern countries which once harbored tiger populations. Over the last 20 years, the total area of Tiger Conservation Landscapes (TCLs) declined from 1.025 million km2 in 2001, a range-wide loss of 11%, with the greatest losses in Southeast Asia and southern China. Meanwhile, we documented expansions of modelled TCL area in India, Nepal, Bhutan, northern China, and southeastern Russia. We find significant potential for restoring tigers to existing habitats, identified here in 226 Restoration Landscapes. If these habitats had sufficient prey and were tigers able to find them, the occupied land base for tigers might increase by 50%. Our analytical system, incorporating Earth observations, in situ biological data, and a conservation-oriented modelling framework, provides the information the countries need to protect tigers and enhance habitat, including dynamic, spatially explicit maps and results, updated as often as the underlying data change. Our work builds on nearly 30 years of tiger conservation research and provides an accessible way for countries to measure progress and report outcomes. This work serves as a model for objective, range-wide, habitat monitoring as countries work to achieve the goals laid out in the Sustainable Development Goals, the 30×30 Agenda, and the Kunming-Montreal Global Biodiversity Framework.
Coastal restoration through island construction and augmentation is an increasingly common management method in the northern Gulf of Mexico, but evaluating the impacts to shorebird species is difficult. Shorebirds are mostly migratory and many aspects of their life history, including reproduction in some species, occur in other places. In addition, counts or observations of shorebirds made at any given time represent only a portion of the population and that proportion may change with site conditions such as time of day and weather. Dynamic occupancy models can account for imperfect detection and produce estimates of the proportion of area occupied over time as a way to track trends in bird utilization over time.
In this chapter we report on occupancy trends for five focal shorebird species from Caminada Headland and Whiskey Island: American Oystercatcher (Haematopus palliatus), Piping Plover (Charadrius melodus), Red Knot (Calidris canutus), Snowy Plover (Charadrius nivosus), and Wilson’s Plover (Charadrius wilsonia). We examined up to nine years of surveys at the two sites to model long-term trends in occupancy rates from a period spanning before, during, and after restoration. Our objective was to determine if there was change in occupancy over time (trend) during the restoration period.
Field sampling was conducted as described in Chapter 1 for the five focal species in this chapter. To create spatial units for occupancy analysis we used a grid of 53 unique cells at Caminada Headland and 26 unique cells at Whiskey Island. All observations of the species were located into spatial units using GIS and presence of each species in each cell was determined for each visit within a sampling season. Sampling seasons were defined for species as the period of time where they were most likely to be using the study area, and corresponded with wintering (August–May), breeding (April–August), or staging (March–October). We did not include covariates for initial occupancy or colonization and site survival because these were small sites with homogenous habitat. We did account for time of year within a season by treating survey date as a covariate of detection probability and allowed it to vary throughout the season. We tested for a trend in occupancy over time by determining if the estimated slope through the series of annual occupancy estimates was significantly different from 0.
We conducted 153 total surveys at Caminada Headland from 11 January 2013 to 5 June 2019, and 213 total surveys at Whiskey Island from 7 August 2012 to 19 August 2020. The number of surveys per year varied by species and site and range from 6–23 per species annually at Caminada Headland and 11–28 per species annually at Whiskey Island. Occupancy trends were able to be assessed for all species at both sites, with the exception of the American Oystercatcher, which were only observed in sufficient numbers to estimate occupancy at Whiskey Island. We found a significant positive trend in occupancy from 0.325 to 0.741 for American Oystercatcher at Whiskey Island. There was no significant trend in Piping Plover occupancy at Caminada Headland where occupancy was consistently high (0.910 to 0.947). At Whiskey Island, Piping Plover occupancy estimates increased from 0.574 to 0.908 during the study period which was a significant increase. At Caminada Headland and Whiskey Island Red Knot occupancy varied from 0.482 to 0.891 and 0.350 to 0.742, respectively, but showed no significant trend over the study period. Snowy Plover occupancy at Caminada Headland increased significantly from 0.295 to 0.785 over the study period. Snowy Plover occupancy also increased significantly at Whiskey Island from 0.442 to 0.906. Wilson’s Plover occupancy declined slightly during the study period from 0.946 to 0.935 at Caminada Headland, and from 0.858 to 0.736 at Whiskey Island, but the decline was not significant at either site.
We found no evidence that occupancy declined significantly for any of the species during the period prior to, during, and after restoration. We did find a significant increasing trend in occupancy for Snowy Plover at Caminada Headland and a significant increasing trend for American Oystercatcher, Piping Plover, and Snowy Plover at Whiskey Island. Our modeling results indicate that sampling such as this is sufficient for occupancy modeling and can provide a robust metric for comparison over time or among sites. In future research we plan to investigate the sample size needed to detect a trend. We are currently conducting a power analysis to determine the minimum amount of sampling necessary to have power to detect a trend based on the detection probabilities from this study.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Evaluation of restoration for avian species at Caminada Headland and Whiskey Island in Louisiana","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Louisiana Coastal Protection and Restoration Authority","collaboration":"University of Louisiana Lafayette, Barataria-Terrebonne National Estuary Program, Louisiana Coastal Protection and Restoration Authority","usgsCitation":"Waddle, J., Barrow, W., Jeske, C., Schulz, J., Dobbs, R., LeBlanc, D., Anderson, A.N., Greary, B., Zenzal, T.J., Enwright, N., Thurman. Hana, and Lee, D., 2023, Site occupancy of focal shorebird species at Whiskey Island and Caminada Headland, Louisiana 2012–2020, 36 p.","productDescription":"36 p.","ipdsId":"IP-160700","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":482175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":482120,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cims.coastal.la.gov/RecordDetail.aspx?Root=0&sid=26011"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waddle, J. Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":215911,"corporation":false,"usgs":true,"family":"Waddle","given":"J. 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Implementation of curtailment can potentially be optimized by targeting times when females are most at risk, as the proportion of females limits the growth and stability of many bat populations. The Brazilian free-tailed bat (Tadarida brasiliensis) is the most common bat fatality at wind energy facilities in California and Texas, and yet there are few available data on the sex ratios of the carcasses that are found. Understanding the sex ratios of fatalities in California and Texas could aid in planning population conservation strategies such as informed curtailment.
We used PCR to determine the sex of bat carcasses collected from wind energy facilities during post-construction monitoring (PCM) studies in California and Texas. In California, we received samples from two locations within the Altamont Pass Wind Resource Area in Alameda County: Golden Hills (GH) (n = 212) and Golden Hills North (GHN) (n = 312). In Texas, we received samples from three wind energy facilities: Los Mirasoles (LM) (Hidalgo County and Starr County) (n = 252), Los Vientos (LV) (Starr County) (n = 568), and Wind Farm A (WFA) (San Patricio County and Bee County) (n = 393).
In California, the sex ratios of fatalities did not differ from 50:50, and the sex ratio remained stable over the survey years, but the seasonal timing of peak fatalities was inconsistent. In 2017 and 2018, fatalities peaked between September and October, whereas in 2019 and 2020 fatalities peaked between May and June. In Texas, sex ratios of fatalities varied between locations, with Los Vientos being female-skewed and Wind Farm A being male-skewed. The sex ratio of fatalities was also inconsistent over time. Lastly, for each location in Texas with multiple years studied, we observed a decrease in the proportion of female fatalities over time.
We observed unexpected variation in the seasonal timing of peak fatalities in California and differences in the sex ratio of fatalities across time and facility location in Texas. In Texas, proximity to different roost types (bridge or cave) likely influenced the sex ratio of fatalities at wind energy facilities. Due to the inconsistencies in the timing of peak female fatalities, we were unable to determine an optimum curtailment period; however, there may be location-specific trends that warrant future investigation. More research should be done over the entirety of the bat active season to better understand these trends in Texas. In addition, standardization of PCM studies could assist future research efforts, enhance current monitoring efforts, and facilitate research on post-construction monitoring studies.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.16580","usgsCitation":"Licari, S., Hale, A., Weaver, S., Fritts, S., Katzner, T., Nelson, D.H., and Williams, D., 2023, Understanding fatality patterns and sex ratios of Brazilian free-tailed bats (Tadarida brasiliensis) at wind energy facilities in western California and Texas: PeerJ Life & Environment, v. 11, e16580, 24 p., https://doi.org/10.7717/peerj.16580.","productDescription":"e16580, 24 p.","ipdsId":"IP-156861","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":441463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.16580","text":"Publisher Index Page"},{"id":425369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, 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We conducted various analyses to determine the impact of coastal restoration on several focal avian species at Caminada Headland and Whiskey Island, Louisiana. We assessed if restoration affected avian use of restored sites by determining overall habitat changes, occupancy trends, and impacts of construction activities. Here, we summarize our findings from Chapters 2-9. For more details and additional information, please see Chapters 1-9 in this report.
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