Large-scale restoration projects are an exciting and often untapped opportunity to use an experimental approach to inform ecosystem management and test ecological theory. In our $10M tidal marsh restoration project, we installed over 17,000 high marsh plants to increase cover and diversity, using these plantings in a large-scale experiment to test the benefits of clustering and soil amendments across a stress gradient. Clustered plantings have the potential to outperform widely spaced ones if plants alter conditions in ways that decrease stress for close neighbors.
View Article and Find Full Text PDFJ Soc Pers Relat
January 2025
Despite the overwhelming support for the importance of sexual communication to intimate relationships, there is limited information about what motivates someone to engage in or avoid sexual communication. Motivational frameworks have been applied to various aspects of intimate relationships, serving as strong predictors of different behavioural processes and playing a crucial role in facilitating behavioural change. As such, we aimed to elucidate the motivations for sexual communication and explore how they relate to other aspects of the process of sexual communication.
View Article and Find Full Text PDFTidal wetlands are critical but highly threatened ecosystems that provide vital services. Efficient stewardship of tidal wetlands requires robust comparative assessments of different marshes to understand their resilience to stressors, particularly in the face of relative sea level rise. Existing assessment frameworks aim to address tidal marsh resilience, but many are either too localized or too general, and few directly translate resilience evaluations to recommendations for management strategies.
View Article and Find Full Text PDFCoastal eutrophication is a prevalent threat to the healthy functioning of ecosystems globally. While degraded water quality can be detected by monitoring oxygen, nutrient concentrations, and algal abundance, establishing regulatory guidelines is complicated by a lack of baseline data (e.g.
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