Who is the "She" in the Pandemic "She-Cession"? Variation in COVID-19 Labor Market Outcomes by Gender and Family Status.

The sharp decline in employment after the COVID-19 lockdown was not uniformly felt across demographic groups. Utilizing the 2017 to 2020 monthly Current Population Survey and using a difference-in-difference design, we investigate the varying impacts of COVID-19 on at-work status among the prime-working-age population, accounting for typical seasonal fluctuations in employment. The target population is grouped by gender, marital status, parenthood, and level of education. Our results uncover complex variations by gender, marital status, and children's age. Contrary to popular belief, married women without school-aged children did not experience a relative decline in employment compared to married fathers. A majority of disadvantages in employment that married women experienced are accounted for by controlling for typical seasonal fluctuations. The women whose employment was most distinctively adversely affected by COVID-19 during 2020 were less-educated never-married childless women and never-married mothers. Less-educated men who were not currently married also experienced a disadvantage in employment relative to equally educated married fathers. These findings imply that, during the pandemic recession, marriage offered a form of within-family insurance that we call the "added caregiver effect." The further implications of these findings are discussed.

Biases in open-path carbon dioxide flux measurements: Roles of instrument surface heat exchange and analyzer temperature sensitivity.

Eddy covariance (EC) measurements of ecosystem-atmosphere carbon dioxide (CO2) exchange provide the most direct assessment of the terrestrial carbon cycle. Measurement biases for open-path (OP) CO2 concentration and flux measurements have been reported for over 30 years, but their origin and appropriate correction approach remain unresolved. Here, we quantify the impacts of OP biases on carbon and radiative forcing budgets for a sub-boreal wetland. Comparison with a reference closed-path (CP) system indicates that a systematic OP flux bias (0.54 µmol m-2 s-1) persists for all seasons leading to a 110% overestimate of the ecosystem CO2 sink (cumulative error of 78 gC m-2). Two potential OP bias sources are considered: Sensor-path heat exchange (SPHE) and analyzer temperature sensitivity. We examined potential OP correction approaches including: i) Fast temperature measurements within the measurement path and sensor surfaces; ii) Previously published parameterizations; and iii) Optimization algorithms. The measurements revealed year-round average temperature and heat flux gradients of 2.9 °C and 16 W m-2 between the bottom sensor surfaces and atmosphere, indicating SPHE-induced OP bias. However, measured SPHE correlated poorly with the observed differences between OP and CP CO2 fluxes. While previously proposed nominally universal corrections for SPHE reduced the cumulative OP bias, they led to either systematic under-correction (by 38.1 gC m-2) or to systematic over-correction (by 17-37 gC m-2). The resulting budget errors exceeded CP random uncertainty and change the sign of the overall carbon and radiative forcing budgets. Analysis of OP calibration residuals as a function of temperature revealed a sensitivity of 5 µmol m-3 K-1. This temperature sensitivity causes CO2 calibration errors proportional to sample air fluctuations that can offset the observed growing season flux bias by 50%. Consequently, we call for a new OP correction framework that characterizes SPHE- and temperature-induced CO2 measurement errors.

Error characterization of methane fluxes and budgets derived from a long-term comparison of open- and closed-path eddy covariance systems.

Wetlands represent the dominant natural source of methane (CH4) to the atmosphere. Thus, substantial effort has been spent examining the CH4 budgets of global wetlands via continuous ecosystem-scale measurements using the eddy covariance (EC) technique. Robust error characterization for such measurements, however, remains a major challenge. Here, we quantify systematic, random and gap-filling errors and the resulting uncertainty in CH4 fluxes using a 3.5 year time series of simultaneous open- and closed path CH4 flux measurements over a sub-boreal wetland. After correcting for high- and low frequency flux attenuation, the magnitude of systematic frequency response errors were negligible relative to other uncertainties. Based on three different random flux error estimations, we found that errors of the CH4 flux measurement systems were smaller in magnitude than errors associated with the turbulent transport and flux footprint heterogeneity. Errors on individual half-hourly CH4 fluxes were typically 6%-41%, but not normally distributed (leptokurtic), and thus need to be appropriately characterized when fluxes are compared to chamber-derived or modeled CH4 fluxes. Integrated annual fluxes were only moderately sensitive to gap-filling, based on an evaluation of 4 different methods. Calculated budgets agreed on average to within 7% (≤ 1.5 g - CH4 m-2 yr-1). Marginal distribution sampling using open source code was among the best-performing of all the evaluated gap-filling approaches and it is therefore recommended given its transparency and reproducibility. Overall, estimates of annual CH4 emissions for both EC systems were in excellent agreement (within 0.6 g - CH4 m-2 yr-1) and averaged 18 g - CH4 m-2 yr-1. Total uncertainties on the annual fluxes were larger than the uncertainty of the flux measurement systems and estimated between 7-17%. Identifying trends and differences among sites or site years requires that the observed variability exceeds these uncertainties.

Quantifying nitrous oxide fluxes on multiple spatial scales in the Upper Midwest, USA.

This study seeks to quantify the roles of soybean and corn plants and the cropland ecosystem in the regional N2O budget of the Upper Midwest, USA. The N2O flux was measured at three scales (plant, the soil-plant ecosystem, and region) using newly designed steady-state flow-through plant chambers, a flux-gradient micrometeorological tower, and continuous tall-tower observatories. Results indicate that the following. (1) N2O fluxes from unfertilized soybean (0.03 ± 0.05 nmol m(-2) s(-1)) and fertilized corn plants (-0.01 ± 0.04 nmol m(-2) s(-1)) were about one magnitude lower than N2O emissions from the soil-plant ecosystem (0.26 nmol m(-2) s(-1) for soybean and 0.95 nmol m(-2) s(-1) for corn), confirming that cropland N2O emissions were mainly from the soil. (2) Fertilization increased the corn plant flux for a short period (about 20 days), and late-season fertilization dramatically increased the soybean plant emissions. (3) The direct N2O emission from cropland accounted for less than 20 % of the regional flux, suggesting a significant influence by other sources and indirect emissions, in the regional N2O budget.

The influence of plants on atmospheric methane in an agriculture-dominated landscape.

The primary objective of this study was to clarify the influence of crop plants on atmospheric methane (CH4) in an agriculture-dominated landscape in the Upper Midwest of the United States. Measurements were carried out at two contrasting scales. At the plant scale, CH4 fluxes from soybean and corn plants were measured with a laser-based plant chamber system. At the landscape scale, the land surface flux was estimated with a modified Bowen ratio technique using measurements made on a tall tower. The chamber data revealed a diurnal pattern for the plant CH4 flux: it was positive (an emission rate of 0.4±0.1 nmol m(-2) s(-1), average of soybean and corn, in reference to the unit ground area) during the day, and negative (an uptake rate of -0.8±0.8 nmol m(-2) s(-1)) during the night. At the landscape scale, the flux was estimated to be 14.8 nmol m(-2) s(-1) at night and highly uncertain during the day, but the available references and the flux estimates from the equilibrium methods suggested that the CH4 flux during the entire observation period was similar to the estimated nighttime flux. Thus, soybean and corn plants have a negligible role in the landscape-scale CH4 budget.

An organized medullary epithelial structure in the normal thymus expresses molecules of respiratory epithelium and resembles the epithelial thymic rudiment of nude mice.

The expression of tissue-specific Ags (TSA) within the thymic environment has emerged as an important contribution to the establishment of self-tolerance. The mechanistic basis for this property is poorly understood. One model has proposed stochastic derepression of gene expression by mature medullary epithelial cells, whereas another model has suggested that this property of thymic epithelial cells reflects transcriptional activity during their differentiation. Most of the analyses of thymic TSA expression have been done with populations of dissociated thymic epithelial cells; therefore, there is little information regarding the spatial pattern of TSA expression within the thymus. We have evaluated a subset of thymic epithelial cells in the murine thymus that display several unique features. First, within the normal thymus, they form cysts that express several TSA of respiratory epithelium and exhibit some morphological features consistent with respiratory epithelium. These cells also display a phenotypic profile that has been proposed for immature thymic epithelium. The cystic epithelia in the normal thymus and in the nude thymic rudiment are phenotypically very similar, suggesting that they may have a similar developmental program. The coordinated expression of respiratory TSA by an organized subset of thymic epithelial cells and the phenotypic resemblance of these cells to progenitor cells seem consistent with a developmental basis for TSA expression by thymic epithelial cells. Finally, epitopes that define thymic epithelial heterogeneity are reciprocally expressed by respiratory epithelium, which raises interesting questions regarding the developmental relationship of different endodermal derivatives.

Organization of thymic medullary epithelial heterogeneity: implications for mechanisms of epithelial differentiation.

There are accumulating data to show that thymic epithelium expresses a remarkable array of molecules previously considered to be tissue-specific antigens, such as parathyroid hormone, thyroglobulin, insulin, and C-reactive protein. From an immunological perspective, this property of thymic epithelium would provide an ideal mechanism to effect central tolerance of epithelial-restricted antigens. However, from a mechanistic perspective, this phenomenon remains mysterious. Two explanations have been proposed. One invokes promiscuous gene expression by medullary thymic epithelial cells that would allow transient derepression of selected gene expression. The other proposes that the expression of tissue-restricted genes by thymic epithelium reflects alternate pathways of epithelial development by small numbers of cells to form a mosaic of different epithelial types within the thymus. Here we show thymic expression of lung-associated gene products by an organized epithelial 'organoid' with ultrastructural features of respiratory epithelium and present data suggesting that the thymus also contains structures that ultrastructurally and phenotypically resemble solitary thyroid follicles. Based on these data, it is proposed that some thymic epithelial progenitor cells resemble pharyngeal endoderm in terms of their developmental potential and that alternative differentiation fates taken by these cells serve to maintain the spectrum of epithelial 'self' in the thymus.