bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reconstructing postglacial hydrologic and environmental change in the eastern Kenai Peninsula lowlands using proxy data and mass balance modeling
Authors: Broadman Ellie , Kaufman Darrell S. , Anderson R. Scott , Bogle Sonya , Ford Matthew , Fortin David , Henderson Andrew C. G. , Lacey Jack H. , Leng Melanie J. , McKay Nicholas P. , Muñoz Samuel E. 
Published: March 2022

AbstractDespite extensive paleoenvironmental research on the postglacial history of the Kenai Peninsula, Alaska, uncertainties remain regarding the region's deglaciation, vegetation development, and past hydroclimate. To elucidate this complex environmental history, we present new proxy datasets from Hidden and Kelly lakes, located in the eastern Kenai lowlands at the foot of the Kenai Mountains, including sedimentological properties (magnetic susceptibility, organic matter, grain size, and biogenic silica), pollen and macrofossils, diatom assemblages, and diatom oxygen isotopes. We use a simple hydrologic and isotope mass balance model to constrain interpretations of the diatom oxygen isotope data. Results reveal that glacier ice retreated from Hidden Lake's headwaters by ca. 13.1 cal ka BP, and that groundwater was an important component of Kelly Lake's hydrologic budget in the Early Holocene. As the forest developed and the climate became wetter in the Middle to Late Holocene, Kelly Lake reached or exceeded its modern level. In the last ca. 75 years, rising temperature caused rapid changes in biogenic silica content and diatom oxygen isotope values. Our findings demonstrate the utility of mass balance modeling to constrain interpretations of paleolimnologic oxygen isotope data, and that groundwater can exert a strong influence on lake water isotopes, potentially confounding interpretations of regional climate.
Prepartum measurement of serum biomarkers reflecting osteoclastic and osteoblastic bone metabolism for predicting the risk of milk fever in dairy cows
Authors: Yamagishi Norio , Kawashima Chiho 
Published: March 2022

AbstractWe investigated whether prepartum levels of serum bone biomarkers are related to the degree of parturient hypocalcaemia and risk of milk fever (MF) in dairy cows with advancing parity. A total of 58 late-pregnant cattle were assigned to four groups: nulliparous, primiparous, multiparous in the 2nd lactation and multiparous in the 3rd–5th lactation. The multiparous cows were further assigned to MF and non-MF groups according to the onset of MF. Serum samples were obtained from the cows during the 3 weeks prepartum to 5 d postpartum period for the measurement of serum calcium (Ca) and three bone biomarkers: tartrate-resistant acid phosphatase isoform 5b (TRAP5b), osteoprotegerin (OPG) and bone isoenzyme of alkaline phosphatase (ALP3). The ratios of OPG to TRAP5b (O/T ratio) and ALP3 to TRAP5b (A/T ratio) were calculated. The data from all cattle showed that the severity of hypocalcaemia at parturition increased with advancing parity/age. The MF cows had elevated serum TRAP5b activity and a decreased O/T ratio after parturition, suggesting an increased number of osteoclasts due to osteoclastogenesis, in response to severe hypocalcaemia. The MF cows showed lower serum ALP3 activity during the 3 weeks prepartum than the non-MF cows, therefore, prepartum osteoblast function was likely weak in the MF cows. During the 2–3 weeks prepartum, serum ALP3 activity and the A/T ratio had moderate associations with the serum Ca concentration at day 0 (day of calving) in the multiparous cows, and receiver operating characteristic curve analysis revealed that ALP3 activity had excellent ability to predict MF. In conclusion, prepartum serum ALP3 activity is a promising biomarker to predict MF in multiparous cows.
A new species ofArostrilepisfromEllobius tancrei(Rodentia: Cricetidae) in Mongolia
Authors: Dursahinhan Altangerel T. , Brooks Daniel R. , Botero-Cañola Sebastian , Gardner Scott L. 
Published: March 2022

AbstractCestodes of the genusArostrilepisMas-Coma and Tenora 1997 have a Holarctic distribution with 16 species occurring among 28 species of mostly arvicoline hosts. The type species of the genus isArostrilepis horrida(von Linstow, 1901), described initially asTaenia horridavon Linstow, 1901, from murine rodents in Lower Saxony (Niedersachsen), Germany. Here we report the first helminth parasite from the mole-vole,Ellobius tancrei, in Mongolia which is the first subterranean rodent known to be infected withArostrilepisin the Palearctic. In addition, we describe a new species:Arostrilepis batsaikhanin. sp. which most closely resemblesA. microtisGulyaev and Chechulin 1997, differing from this species with a genetic distance of about 4% (using cytochrome-b) and by having distinctly large cirrus spines, testes that are larger and fill the whole segment measured anterior–posterior and larger eggs.
“According to the Strict Principles of Honor”: Loyalty, Ambition, and Service in the Habsburg Army during the Coalition Wars
Authors: Baird Kurt J. G. 
Published: March 2022

AbstractThis article examines the lived experience of the Habsburg's military institutions in the lead-up to the Austro-Franco war of 1809, a period in which military service was positioned as the most loyal act a dutiful male subject of the emperor Francis I (II) could undertake. It does this by paying particular attention to a shameful and embarrassing public military display and the resulting near-violent dispute between company officers of theJordisinfantry regiment, as recorded and reflected upon by a young junior officer in 1808. This account allows for the examination of the ways in which honor created narrative frameworks and communities that persuaded diverse individuals to place their experiences within the context of the monarchy's war with France.
Sparse point-plane odometry in structured environments
Authors: Lin Tianpei , Pan Feng , Wang Xuanyin 
Published: March 2022

AbstractIn this paper, we propose a sparse point-plane odometry used in structured environments. Compared to a point-based odometry, we add additional planar constraints into the process of optimization, making the results more reliable. A novel grid-based plane detection algorithm is proposed to cluster sparse points in the same planes. Then, the planes are parameterized by inverse normal and take part in the windowed optimization. By reducing the size of Hessian Matrix, the process of optimization converges faster. Compared to the original point-based odometry, the proposed method performs better on both robustness and efficiency in structured environments.
Urban law and the expulsion of authenticity: Preservation of the TWA terminal in the JFK Airport Redevelopment Plan
Authors: Song Jiewon 
Published: March 2022

AbstractThe key issue addressed in this article is authenticity, which is a criterion that is no longer limited to the United Nations Educational, Scientific and Cultural Organization’s world heritage domain. This article draws from one of the most interesting public projects in the United States – the John F. Kennedy (JFK) Terminal 5/6 Redevelopment Plan, which was part of the larger JFK master plan. The project’s Trans World Airlines (TWA) terminal, which is the only landmarked terminal and remnant of the original JFK airport plan, raised concerns. In 2001, the debate started off with keeping the terminal building active for aviation use and experiences. Nonetheless, the terminal was reimagined into a luxury hotel in 2019. This article unveils the micro-politics in the redevelopment plan and examines the authenticity of the TWA terminal and how it was (re)constructed. In doing so, the article sheds light on urban law and the decision-making process. Moreover, it discusses the tangible and intangible consequences of the prevailing speculative logic in the law.
Coproduction and the crafting of cognitive institutions during the COVID-19 pandemic
Authors: Rayamajhee Veeshan , Paniagua Pablo 
Published: March 2022

AbstractIn response to Paniagua and Rayamajhee's (2021) proposal for a polycentric approach for pandemic governance, Frolov (2022) notes that their paper focuses on preventive measures, and neglects the deeper, cognitive dimension of coproduction. In this essay, we extend the notion of coproduction to analyze the cognitive institutions that underlie social behavior during a pandemic. We analyze the role of coproduction and polycentricity in the emergence and persistence of shared mental models, including counterproductive models such as virus skepticism, conspiracy theory beliefs, and antivaccine narratives.
Impact of delayed postemergence herbicide application on corn yield based on weed height, days after emergence, accumulated crop heat units, and corn growth stage
Authors: Soltani Nader , Shropshire Christy , Sikkema Peter H. 
Published: March 2022

AbstractNine field experiments were conducted from 2017 to 2019 in Ontario to determine the impact of early weed interference on corn yield based on corn growth stage, days after emergence (DAE), accumulated crop heat units (CHU), and weed size. The predicted weed size at herbicide application that resulted in a 1%, 2.5%, 5%, 10%, 25%, and 50% yield loss in corn was estimated to be 1, 4, 11, 53, non-estimable (N est.*), and N est.* cm under low weed density and 3, 5, 7, 11, 27, and N est.* cm under high weed density, respectively. The predicted DAE at herbicide application time that resulted in a 1%, 2.5%, 5%, 10%, 25%, and 50% yield loss in corn was predicted to be 14, 20, 27, 44, N est.*, and N est.* DAE under low weed density and 5, 7, 11, 17, 25, and 59 DAE under high weed density, respectively. The predicted CHU from planting at herbicide application time that led to a 1%, 2.5%, 5%, 10%, 25%, and 50% yield loss in corn was 468, 636, 821, 1,271, N est.*, and N est.* CHU from planting under low weed density and 207, 283, 385, 551, 972, and 1,748 CHU from planting under high weed density, respectively. The predicted crop stage at herbicide application that led to a 1%, 2.5%, 5%, 10%, 25%, and 50% yield loss in corn was V5, V6, V7, V11, N est.*, and N est.* under low weed density and V1, V2, V3, V4, V8, and V14 under high weed density, respectively. Results indicate that weeds must be controlled before they reach 7 cm in height, prior to 11 d after crop emergence, prior to 385 accumulated CHU from emergence, or prior to the V3 stage under high weed density to avoid greater than 5% yield loss.
Enhancement of tolpyralate efficacy with adjuvants
Authors: Fluttert John C. , Soltani Nader , Galla Mariano , Hooker David C. , Robinson Darren E. , Sikkema Peter H. 
Published: March 2022

AbstractTolpyralate is a 4-hydroxyphenylpyruvate dioxygenase–inhibiting herbicide that is applied postemergence for control of annual broadleaf and grass weeds in corn. Current Canadian label recommendations for tolpyralate specify the addition of a methylated seed oil (MSO) adjuvant (MSO Concentrate®) for improved weed control. The efficacy of tolpyralate applied with other proprietary adjuvants has not been widely reported in the peer-reviewed literature. Therefore, four field trials were conducted in corn over 2020 and 2021 in Ontario, Canada, to evaluate MSO Concentrate®, Agral® 90 (nonionic surfactant), Assist® Oil Concentrate (blended surfactant), Carrier® (blended surfactant), LI 700® (nonionic surfactant), and Merge® (blended surfactant) as adjuvants with tolpyralate for the control of annual broadleaf and grass weeds. At 8 wk after application (WAA), tolpyralate applied with MSO Concentrate®, Agral® 90, Assist® Oil Concentrate, Carrier®, or Merge® controlled velvetleaf, wild mustard, barnyardgrass, and foxtail species similarly. These adjuvants also enhanced the efficacy of tolpyralate similarly for the control of common ragweed at 8 WAA with the exception that Agral® 90 was inferior to Merge®. At 8 WAA, tolpyralate controlled common lambsquarters the greatest when applied with MSO Concentrate®, Agral® 90, Carrier®, or Merge®; these adjuvants with the exception of Agral® 90 were superior to Assist® Oil Concentrate. At 8 WAA, tolpyralate applied with LI 700® controlled common ragweed, barnyardgrass, and foxtail species less than when tolpyralate was applied with the other adjuvants tested; control of these weed species with tolpyralate was not improved with LI 700® when compared to tolpyralate applied without an adjuvant. Overall, tolpyralate applied with either MSO Concentrate®, Carrier®, or Merge® controlled all annual broadleaf and grass weed species similarly or greater than tolpyralate applied without an adjuvant or tolpyralate with Agral® 90, Assist® Oil Concentrate, or LI 700® at 8 WAA.
Methodology for Evaluating the North Atlantic Igneous Province Reveals Multiple Hotspots at Breakup
Authors: Rohrman Max 
Published: March 2022

AbstractThe North Atlantic Igneous Province (NAIP) has been the focus of numerous studies. However, a systematic integrated methodology to assess the NAIP, has so far been lacking. For this purpose, a synclinal oceanic rift approach is developed from the stratigraphic record. Mechanisms are addressed combining trace element and seismic velocity data as a proxy for excess mantle potential temperature (ΔTp), using simple mantle melting models. Unconformities play a major role in this assessment, providing evidence for a drop in ΔTp to ambient levels (≤50°C). Three phases can be delineated in the stratigraphic record: a (a) Pre‐; (b) Syn‐; and (c) Post‐breakup phase. The Syn‐breakup phase is bound at the base by the Breakup Unconformity and at the top by the Magmatic Unconformity. At breakup, magmatic crustal thickness (H) can be estimated from addition of basalt‐ and Lower Igneous Crust isopachs. These seismic estimations can be further constrained by observations on volcanic transport directions. This allows differentiation between hotspots and Volcanic Passive Margins (VPMs), where hotspots are characterized by continuous ΔTp amplitude variations, whereas VPMs only display declining or absent fluctuations post breakup. On Iceland and the Greenland‐Iceland‐Faroe Ridge, H is primary controlled by ΔTp fluctuations promoting ridge jumps and second, associated fluctuating active upwelling ratio (χ ∼ 2–4). Results suggest that there were at least three hotspots active at breakup. The West Greenland and proto‐Jan Mayen hotspots lost importance in the Oligocene, while Iceland remained and is currently the main hotspot in the North Atlantic.
Long‐Term Lithospheric Strength and Upper‐Plate Seismicity in the Southern Central Andes, 29°–39°S
Authors: Rodriguez Piceda C. , Scheck‐Wenderoth M. , Cacace M. , Bott J. , Strecker M. R. 
Published: March 2022

AbstractWe examined the relationship between the mechanical strength of the lithosphere and the distribution of seismicity within the overriding continental plate of the southern Central Andes (SCA, 29°–39°S), where the oceanic Nazca Plate changes its subduction angle between 33°S and 35°S, from subhorizontal in the north (<5°) to steep in the south (∼30°). We computed the long‐term lithospheric strength based on an existing 3D model describing variations in thickness, density, and temperature of the main geological units forming the lithosphere of the SCA and adjacent forearc and foreland regions. The comparison between our results and seismicity within the overriding plate (upper‐plate seismicity) shows that most of the events occur within the modeled brittle domain of the lithosphere. The depth where the deformation mode switches from brittle frictional to thermally activated ductile creep provides a conservative lower bound to the seismogenic zone in the overriding plate of the study area. We also found that the majority of upper‐plate earthquakes occurs within the realm of first‐order contrasts in integrated strength (12.7–13.3 log Pam in the Andean orogen vs. 13.5–13.9 log Pam in the forearc and the foreland). Specific conditions characterize the mechanically strong northern foreland of the Andes, where seismicity is likely explained by the effects of slab steepening.
A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data
Authors: Liu Jiangtao , Rahmani Farshid , Lawson Kathryn , Shen Chaopeng 
Published: March 2022

AbstractDeep learning (DL) models trained on hydrologic observations can perform extraordinarily well, but they can inherit deficiencies of the training data, such as limited coverage of in situ data or low resolution/accuracy of satellite data. Here we propose a novel multiscale DL scheme learning simultaneously from satellite and in situ data to predict 9 km daily soil moisture (5 cm depth). Based on spatial cross‐validation over sites in the conterminous United States, the multiscale scheme obtained a median correlation of 0.901 and root‐mean‐square error of 0.034 m3/m3. It outperformed the Soil Moisture Active Passive satellite mission's 9 km product, DL models trained on in situ data alone, and land surface models. Our 9 km product showed better accuracy than previous 1 km satellite downscaling products, highlighting limited impacts of improving resolution. Not only is our product useful for planning against floods, droughts, and pests, our scheme is generically applicable to geoscientific domains with data on multiple scales, breaking the confines of individual data sets.
Closing the Winter Gap—Year‐Round Measurements of Soil CO2 Emission Sources in Arctic Tundra
Authors: Pedron Shawn A. , Welker J. M. , Euskirchen E. S. , Klein E. S. , Walker J. C. , Xu X. , Czimczik C. I. 
Published: March 2022

AbstractNon‐growing season CO2 emissions from Arctic tundra remain a major uncertainty in forecasting climate change consequences of permafrost thaw. We present the first time series of soil and microbial CO2 emissions from a graminoid tundra based on year‐round in situ measurements of the radiocarbon content of soil CO2 (Δ14CO2) and of bulk soil C (Δ14C), microbial activity, and temperature. Combining these data with land‐atmosphere CO2 exchange allows estimates of the proportion and mean age of microbial CO2 emissions year‐round. We observe a seasonal shift in emission sources from fresh carbon during the growing season (August Δ14CO2 = 74 ± 4.7‰, 37% ± 3.4% microbial, mean ± se) to increasingly older soil carbon in fall and winter (March Δ14CO2 = 22 ± 1.3‰, 47% ± 8% microbial). Thus, rising soil temperatures and emissions during fall and winter are depleting aged soil carbon pools in the active layer and thawing permafrost and further accelerating climate change.
Bottom Drag Coefficient on a Shallow Barrier Reef
Authors: Sous Damien , Maticka Samantha , Meulé Samuel , Bouchette Frédéric 
Published: March 2022

AbstractThe present paper reports of a field experiment over a shallow, roughness‐varying barrier reef at Maupiti island, French Polynesia. The depth‐averaged momentum balance is used to estimate the bottom drag coefficient Cd, which varies from 0.01 to 0.3, with dependence on both depth and reef structure. The depth effect on Cd is well predicted by a log dependency, as used in previous laboratory and fields observations. The present results extend the approach to a system with more wave exposure and higher roughness‐to‐depth ratio. Additionally, the statistical relationship between high‐resolution reef topography and hydrodynamical parameters is discussed.
An Observational Investigation of Spatiotemporally Contiguous Heatwaves in China From a 3D Perspective
Authors: Luo Ming , Lau Ngar‐Cheung , Liu Zhen , Wu Sijia , Wang Xiaoyu 
Published: March 2022

AbstractUnderstanding the evolution of heatwaves is important for their prediction, mitigation, and adaptation. While most studies focused on either their temporal variability at individual station (or grid point) or the spatial variation over fixed durations, their daily joint evolution over space and time remains largely unexplored. Here, we investigate multi‐dimensional characteristics of spatiotemporally contiguous heatwaves across China during 1961–2018 using observational data from a 3D perspective (i.e., latitude × longitude × time). Results obtained by the 3D identification show that large contiguous heatwaves in China exhibit distinct characteristics in different geographical locations and time periods. Heatwaves in northern areas prefer to move from west to east at a faster speed, persist longer, and have greater extent and intensity than southern heatwaves, which are generally originated from the east and move westward. It is also found that contiguous heatwaves are growing in frequency, magnitude, areal extent, duration, and traveling distance across China.
Vegetation Physiological Response to Increasing Atmospheric CO2 Slows the Decreases in the Seasonal Amplitude of Temperature
Authors: He Mingzhu , Lian Xu , Cui Jiangpeng , Xu Hao , Piao Shilong 
Published: March 2022

AbstractThe seasonal amplitude of temperature (SAT) decreases due to non‐uniform seasonal warming, which exerts critical impacts on ecosystem functions and services. Previous studies attributed the SAT decrease to changed seasonal budget of atmospheric radiative forcing (RAD), however, potential impacts of vegetation physiological response to CO2 (PHY) on SAT are largely underexplored. Here, we examine the role of PHY in modulating SAT using Earth system model simulations. Globally, PHY continuously increases SAT, offsetting about 55% of the RAD‐driven SAT reductions under quadrupled CO2. The PHY‐induced SAT enhancement is particularly pronounced in the northern mid‐to‐high latitudes. Such enhancement is driven directly by stomatal closure‐induced evapotranspiration reduction that amplifies warming, and indirectly by suppressing cloud formation that increases downward shortwave radiation. Our results highlight the critical role of vegetation in mediating temperature seasonality and the necessity for a full understanding of PHY feedback when evaluating the benefits of terrestrial ecosystems in mitigating climate change.
Observed Winds Crucial for September Arctic Sea Ice Loss
Authors: Roach L. A. , Blanchard‐Wrigglesworth E. 
Published: March 2022

AbstractArctic sea ice has declined strikingly over the past 40 years under climate change. The physical processes driving these changes and the relative roles of external forcing versus natural variability remain under debate, partly due to lack of confidence in the simulation of Arctic sea ice by coupled climate models. Here, we nudge a widely‐used CMIP5‐class model (CESM1) toward observed winds above the boundary layer. These simulations reproduce observed Arctic trend patterns and Arctic‐average interannual fluctuations in near‐surface temperature. We find that atmospheric circulation plays a crucial role in September Arctic sea ice loss and sea ice interannual variability. Trends in the observed atmospheric circulation that are not part of the modeled forced response cause approximately 20%–25% of the modeled September sea ice decline, which is in close agreement with the observed trend. However, our simulations do not capture sea ice loss in other seasons, pointing to important model biases in winter and spring.