ALBERT

Description: The mass and energy balance of the snowpack govern its evolution. Direct measurement of these fluxes is essential for modeling the snowpack, yet there are few sites where all the relevant measurements are taken. Mammoth Mountain CA USA is home to the Cold Regions Research and Engineering Laboratory and University of California – Santa Barbara Energy Site (CUES), one of five energy balance monitoring sites in the Western US. There is a ski patrol study site on Mammoth Mountain, called the Sesame Street Snow Study Plot, with automated snow and meteorological instruments where new snow is hand weighed to measure its water content. For this dataset, we present a clean and continuous hourly record of selected measurements from both sites covering the 2011–2017 water years which can be used to run a variety of snow models. The 2011–2017 period was marked by exceptional variability in precipitation, even for an area that has high year-to-year variability. The driest year on record, and one of the wettest years, occurred during this time period, making it ideal for studying climatic extremes. This dataset complements a previously published dataset from CUES containing a smaller subset of daily measurements. In addition to the hand weighed SWE, novel measurements include hourly broadband snow albedo corrected for terrain and other measurement biases. This dataset is available with Digital Object Identifier: https://doi.org/10.21424/r4159q.

Description: The mass and energy balance of the snowpack govern its evolution. Direct measurement of these fluxes is essential for modeling the snowpack, yet there are few sites where all the relevant measurements are taken. Mammoth Mountain, CA USA, is home to the Cold Regions Research and Engineering Laboratory and University of California – Santa Barbara Energy Site (CUES), one of five energy balance monitoring sites in the western US. There is a ski patrol study site on Mammoth Mountain, called the Sesame Street Snow Study Plot, with automated snow and meteorological instruments where new snow is hand-weighed to measure its water content. There is also a site at Mammoth Pass with automated precipitation instruments. For this dataset, we present a clean and continuous hourly record of selected measurements from the three sites covering the 2011–2017 water years. Then, we model the snow mass balance at CUES and compare model runs to snow pillow measurements. The 2011–2017 period was marked by exceptional variability in precipitation, even for an area that has high year-to-year variability. The driest year on record, and one of the wettest years, occurred during this time period, making it ideal for studying climatic extremes. This dataset complements a previously published dataset from CUES containing a smaller subset of daily measurements. In addition to the hand-weighed SWE, novel measurements include hourly broadband snow albedo corrected for terrain and other measurement biases. This dataset is available with a digital object identifier: https://doi.org/10.21424/R4159Q.

Description: Grapevine Bois noir (BN) is associated with infection by “Candidatus Phytoplasma solani” (CaPsol). In this study, an array of CaPsol strains was identified from 142 symptomatic grapevines in vineyards of northern, central, and southern Italy and North Macedonia. Molecular typing of the CaPsol strains was carried out by analysis of genes encoding 16S rRNA and translation elongation factor EF-Tu, as well as eight other previously uncharacterized genomic fragments. Strains of tuf-type a and b were found to be differentially distributed in the examined geographic regions in correlation with the prevalence of nettle and bindweed. Two sequence variants were identified in each of the four genomic segments harboring hlyC, cbiQ-glyA, trxA-truB-rsuA, and rplS-tyrS-csdB, respectively. Fifteen CaPsol lineages were identified based on distinct combinations of sequence variations within these genetic loci. Each CaPsol lineage exhibited a unique collective restriction fragment length polymorphism (RFLP) pattern and differed from each other in geographic distribution, probably in relation to the diverse ecological complexity of vineyards and their surroundings. This RFLP-based typing method could be a useful tool for investigating the ecology of CaPsol and the epidemiology of its associated diseases. Phylogenetic analyses highlighted that the sequence variants of the gene hlyC, which encodes a hemolysin III-like protein, separated into two clusters consistent with the separation of two distinct lineages on the basis of tufB gene sequences. Alignments of deduced full protein sequences of elongation factor-Tu (tufB gene) and hemolysin III-like protein (hlyC gene) revealed the presence of critical amino acid substitutions distinguishing CaPsol strains of tuf-type a and b. Findings from the present study provide new insights into the genetic diversity and ecology of CaPsol populations in vineyards.

Description: The severity and pervasiveness of the COVID-19 pandemic have necessitated the emergency use of COVID-19 vaccines. Three vaccines have been approved in the United States (USA). However, there is still some hesitancy in COVID-19 vaccine acceptability among some subgroups, including college students. While research is limited on vaccine acceptability behavior among college students, preliminary data suggests hesitancy as being high. This study aimed to explain the correlates of COVID-19 vaccine acceptance among college students who reported hesitancy toward the COVID-19 vaccine and those who did not using the initiation component of the multi-theory model (MTM) of health behavior change. Using a cross-sectional study design, data were collected from a Southern USA University (n = 282) utilizing a valid and reliable 27-item questionnaire in February and March 2021. Almost half (47.5%) of participants reported hesitancy to receive the COVID-19 vaccine. The three constructs of MTM’s initiation model, behavioral confidence (b = 0.089, p 〈 0.001), participatory dialogue (b = 0.056, p 〈 0.001), and changes in the physical environment (b = 0.066, p = 0.001) were significantly associated with COVID-19 vaccine acceptance among those who were not hesitant to take the vaccine and accounted for 54.8% of the variance. Among those who were hesitant to take the COVID-19 vaccine, the MTM construct of behavioral confidence (b = 0.022, p 〈 0.001) was significant along with Republican Party political affiliation (b = −0.464, p = 0.004), which was negatively associated with vaccine acceptance. The model accounted for 60.6% of the variance in intention to take the COVID-19 vaccine. This study provides evidence for the utility of MTM as a timely intervention to design messages for college students to enhance COVID-19 vaccine acceptability.