This study uses stable and radiogenic isotopic data from Chalcolithic (c. 3000–1900 bc) humans and animals recovered from the Rego da Murta dolmens (Alvaiázere, Portugal) to understand dietary and mobility patterns in the populations using these monuments. The results suggest diets based primarily on C3 plants and terrestrial animals, with some possible variation in protein intake by age or status. Analyses of 87Sr/86Sr values identify two individuals out of ten from Rego da Murta I and four individuals out of fifteen from Rego da Murta II as migrants. These data were compared to other Chalcolithic burials in south-western Portugal: while diets were found to be similar across the region, the very high 87Sr/86Sr values recorded for two migrant humans match no known settlement in the broader region. A recent mapping study of 87Sr/86Sr values in Portugal suggests their origins may lie to the north/north-east of the dolmens.

Harvest weed seed control (HWSC) is an effective technique for managing wild radish (Raphanus raphanistrum L.), a weed that retains its seed until harvest. However, earlier flowering time (leading to increased seed shedding before harvest) is a risk to HWSC effectiveness. This study investigated the effects of repeated HWSC on the evolution of R. raphanistrum flowering dates, using two methods: an adaptation of the SOMER model that included flowering genes (called SOMEF); and a mathematical calculation of the endpoints of flowering date evolution utilizing the relevant life-history equations. In weed management systems with highly effective herbicides, the additional use of HWSC predicted R. raphanistrum population extinction. Low weed numbers and rapid extinction meant that any gradual evolution in days to first flower (DFF) was insufficient to lead to HWSC evasion. In alternative management systems with less vigorous herbicide control and using HWSC, modeling predicted a maximum 2- to 3-d reduction in DFF. In contrast, mathematical calculations of the phenotypes maximizing seeds returned to the seedbank predicted an endpoint to evolution of 12-d earlier flowering, which matched field observations. However, genetic change postulated by the mathematical calculations was not hampered by a restriction to changing DFF allele frequencies. Unknown accompanying genetic changes could affect germination dates or flowering triggers.

Simulation modeling that included only flowering genes failed to predict the magnitude of an observed 12-d reduction in DFF. Differences between the 12 d observed in the field (and predicted using mathematical calculations) and the modest changes demonstrated in this field-based modeling study are postulated to be due to unaccounted evolutionary changes in R. raphanistrum.

This study investigated replicating six generations of glasshouse-based flowering date selection in wild radish (Raphanus raphanistrum L.) using an adaptation of the population model SOMER (Spatial Orientated Modelling of Evolutionary Resistance). This individual-based model was chosen because it could be altered to contain varying numbers of genes, along with varying levels of environmental influence on the phenotype (namely the heritability). Accurate replication of six generations of genetic change that had occurred in a previous glasshouse-based selection was achieved, without intermediate adjustments. This study found that multiple copies of just two genes were required to reproduce the polygenic flowering time adaptations demonstrated in that previous research. The model included major effect type M1 genes, with linkage and crossing over, and minor effect type M2 genes undergoing independent assortment. Within the model, transmissibility (heritability of each gene type) was parameterized at 0.60 for the M1 genes and 0.45 for the M2 genes. The serviceable parameterization of the genetics of flowering in R. raphanistrum within a population model means that simulated examinations of the effects of external weed control on flowering time adaptations are now more feasible. An accurate and simplified Mendelian-based model replicating the adaptive shifts of flowering time that is controlled by a complex array of genes is useful in predicting life-cycle adaptations to evade weed control measures such as harvest weed seed control, which apply intense adaptive selections on traits that affect seed retention at harvest, including flowering time.

The ability of any Machine Learning method to classify the spectra of galaxies depending on the properties of the stellar component rests on the information content of the data. The well-known degeneracies found in population synthesis models suggest this information might be so entangled as to challenge the most sophisticated Deep Learning approaches. This contribution focuses on the traditional definition of entropy to explore this problem from a fundamental viewpoint. We find that the information content – when interpreting the spectrum as a probability distribution function – is reduced to a few spectral intervals that are strongly correlated. Dimensionality reduction via PCA suggests the standard 4000Å break strength and Balmer absorption are the two most informative regions in the analysis of galaxy spectra.

Trusting and supportive relationships with school counsellors can help first-generation college students access college despite barriers. In this narrative inquiry, 11 first-generation college students in the United States shared stories of their positive relationships with their former high school counsellors. After an iterative and consensus-based data analysis process, we summarised our participants’ grand narrative with five themes: family context, school counselling delivery, relationships with school counsellors, impact of relationships with school counsellors, and suggested improvements. Participants valued how school counsellors helped them advocate for themselves, build their confidence, and feel encouraged and accountable through individual meetings, career counselling, and college guidance. School counsellors can offer targeted and relational interventions to help first-generation college students access and persist through college.

In this paper we propose the concept of ‘becoming-with’ in relation to the experience of the catastrophic fires in the summer of 2019–2020 in Australia, and their implications for research into young children’s response to bushfires, and their learning about bushfire recovery, which resulted in the development of an arts-based project to explore emergent curriculum and pedagogies for planetary wellbeing. We draw on Deleuze and Guattari’s theorising that ‘the self is only a threshold, a door, a becoming between two multiplicities’; and ‘Spatio-temporal relations’ as ‘not predicates of the thing but dimensions of multiplicities of events as encounters’ to theorise how ‘becoming-with’ fires enabled the development of emergent curriculum and pedagogies in an early learning centre, which can ultimately contribute to planetary wellbeing.