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Psychological practitioners often seek to directly change the form or frequency of clients' maladaptive perfectionist thoughts, because such thoughts predict future depression. Indirect strategies, such as self-compassion interventions, that seek to change clients' relationships to difficult thoughts, rather than trying to change the thoughts directly could be just as effective. This study aimed to investigate whether self-compassion moderated, or weakened, the relationship between high perfectionism and high depression symptoms in both adolescence and adulthood.The present study utilised anonymous self-report questionnaires to assess maladaptive perfectionism, depression, and self-compassion across two samples covering much of the lifespan. Questionnaires were administered in a high school setting for the adolescent sample (Study 1, Mage = 14.1 years, n = 541), and advertised through university and widely online to attract a convenience sample of adults (Study 2, Mage = 25.22 years, n = 515).Moderation analyses revealed that self-compassion reduced the strength of relationship between maladaptive perfectionism and depression in our adolescent Study 1 (β = -.15, p < .001, R2 = .021.) and our adult study 2 (β = -.14, p < .001, R2 = .020).Cross-sectional self-reported data restricts the application of causal conclusions and also relies on accurate self-awareness and willingness to respond to questionnaire openly.The replication of this finding in two samples and across different age-appropriate measures suggests that self-compassion does moderate the link between perfectionism and depression. Self-compassion interventions may be a useful way to undermine the effects of maladaptive perfectionism, but future experimental or intervention research is needed to fully assess this important possibility.

Sediment microbial communities are responsible for a majority of the metabolic activity in river and stream ecosystems. Understanding the dynamics in community structure and function across freshwater environments will help us to predict how these ecosystems will change in response to human land-use practices. Here we present a spatiotemporal study of sediments in the Tongue River (Montana, USA), comprising six sites along 134 km of river sampled in both spring and fall for two years. Sequencing of 16S rRNA amplicons and shotgun metagenomes revealed that these sediments are the richest (∼ 65,000 microbial 'species' identified) and most novel (93% of OTUs do not match known microbial diversity) ecosystems analyzed by the Earth Microbiome Project to date, and display more functional diversity than was detected in a recent review of global soil metagenomes. Community structure and functional potential have been significantly altered by anthropogenic drivers, including increased pathogenicity and antibiotic metabolism markers near towns and metabolic signatures of coal and coalbed methane extraction byproducts. The core (OTUs shared across all samples) and the overall microbial community exhibited highly similar structure, and phylogeny was weakly coupled with functional potential. Together, these results suggest that microbial community structure is shaped by environmental drivers and niche filtering, though stochastic assembly processes likely play a role as well. These results indicate that sediment microbial communities are highly complex and sensitive to changes in land use practices.