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Subjective socioeconomic status is robustly associated with many measures of health and well-being. The MacArthur Scale of Subjective Social Status (i.e., the MacArthur ladder) is the most widely used measure of this construct, but it remains unclear what exactly the MacArthur ladder measures.

The present research sought to explore the social and economic factors that underlie responses to the MacArthur ladder and its relationship to health.

We investigated this issue by examining the relationship between scores on the MacArthur ladder and measures of economic circumstances and noneconomic social status, as well as health and well-being measures, in healthy adults in the USA.

In three studies (total N = 1,310) we found evidence that economic circumstances and social status are distinct constructs that have distinct associations with scores on the MacArthur ladder. We found that both factors exhibit distinct associations with measures of health and well-being and accounted for the association between the MacArthur ladder and each measure of health and well-being.

Our findings suggest that the MacArthur ladder’s robust predictive validity may result from the fact that it measures two factors—economic circumstances and social status—that are each independently associated with health outcomes. These findings provide a novel perspective on the large body of literature that uses the MacArthur ladder and suggests health researchers should do more to disentangle the social and economic aspects of subjective socioeconomic status.

The climate variability hypothesis proposes that species subjected to wide variation in climatic conditions will evolve wider niches, resulting in larger distributions. We test this hypothesis in tropical plants across a broad elevational gradient; specifically, we use a species‐level approach to evaluate whether elevational range sizes are explained by the levels of thermal variability experienced by species.

Central Andes.

Present day.

Woody plants.

Combining data from 479 forest plots, we determined the elevational distributions of nearly 2300 species along an elevational gradient (~209–3800 m). For each species, we calculated the maximum annual variation in temperature experienced across its elevational distribution. We used phylogenetic generalized least square models to evaluate the effect of thermal variability on range size. Our models included additional covariates that might affect range size: body size, local abundance, mean temperature and total precipitation. We also considered interactions between thermal variability and mean temperature or precipitation. To account for geometric constraints, we repeated our analyses with a standardized measure of range size, calculated by comparing observed range sizes with values obtained from a null model.

Our results supported the main prediction of the climate variability hypothesis. Thermal variability had a strong positive effect on the range size, with species exposed to higher thermal variability having broader elevational distributions. Body size and local abundance also had positive, yet weak effects, on elevational range size. Furthermore, there was a strong positive interaction between thermal variability and mean annual temperature.

Thermal variability had an overriding importance in driving elevational range sizes of woody plants in the Central Andes. Moreover, the relationship between thermal variability and range size might be even stronger in warmer regions, underlining the potential vulnerability of tropical montane floras to the effects of global warming.