AI Article Synopsis

  • Bryophytes are effective at absorbing heavy metals and can grow in contaminated soils, but the details of how they do this are not well understood.
  • The study focused on the effects of excess nickel (Ni) on two liverwort species, Asterella wallichiana and Plagiochasma appendiculatum, examining how it impacts their reproductive organs, population viability, and overall morphology.
  • Results showed that P. appendiculatum was less negatively affected by nickel excess compared to A. wallichiana, providing new insights into how these plants respond to heavy metal stress.

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J Histotechnol

January 2025

Mechanical Engineering, Orthopedic Bioengineering Research Laboratory, Colorado State University, Fort Collins, CO, USA.

With an increasing concentration of microplastics (MPs) in every biome, laboratories with a focus on creating histology slides from resin-embedded specimens could be partially responsible for expanding the emission of microscopic resinous particles into the environment. With current research elucidating harmful health impacts from MPs, releasing them incautiously is arguably unethical and, in the near future, plausibly illegal. The Orthopedic Bioengineering Research Laboratory (OBRL) is in Colorado, a state known not only for its natural beauty but also for its increasing number of legislative amendments aimed at reducing plastic pollution.

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Objective: The public health nutrition workforce is well-placed to contribute to bold climate action, however tertiary educators are seeking practical examples of how to adequately prepare our future workforce. This study examines the responses of university students engaged in a co-designed planetary health education workshop as part of their public health nutrition training.

Design: A mixed-methods approach was used to collect and interpret student responses to four interactive tasks facilitated during an in-person workshop.

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Climate Change Drives Changes in the Size and Composition of Fungal Communities Along the Soil-Seedling Continuum of Schima superba.

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ECNU-Alberta Joint Lab for Biodiversity Study, Tiantong Forest Ecosystem National Observation and Research Station, School of Ecology and Environmental Sciences, East China Normal University, Shanghai, China.

Plant microbiomes have a major influence on forest structure and functions, as well as tree fitness and evolution. However, a comprehensive understanding of variations in fungi along the soil-plant continuum, particularly within tree seedlings, under global warming is lacking. Here, we investigated the dynamics of fungal communities across different compartments (including bulk soil and rhizosphere soil) and plant organs (including the endosphere of roots, stems and leaves) of Schima superba seedlings exposed to experimental warming and drought using AccuITS absolute quantitative sequencing.

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The non-indigenous dung beetle () can effectively reproduce using the dung of indigenous eastern North American mammals.

PeerJ

January 2025

Department of Plant, Food and Environmental Sciences, Faculty of Agriculture, Dalhousie University, Truro, Nova Scotia, Canada.

Non-indigenous dung beetle (Coleoptera: Scarabaeoidea) species in North America are important contributors to ecosystem functions, particularly in pasture-based livestock systems. Despite the significant body of research surrounding non-indigenous (and often invasive) dung beetles in agricultural contexts, there has been minimal study concerning the impact that these species may have on indigenous dung beetle populations in natural environments. Here we examine the possible impact of the introduced dung beetle on indigenous dung beetle populations via use of indigenous mammal dung.

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Constructing age-structured matrix population models for all fishes.

PeerJ

January 2025

Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX, United States of America.

Matrix population models are essential tools in conservation biology, offering key metrics to guide species management and conservation planning. However, the development of these models is often limited by insufficient life history data, particularly for non-charismatic species. This study addresses this gap by using life history data from FishBase and the FishLife R package, complemented by size-dependent natural mortality estimates, to parameterize age-structured matrix population models applicable to most fish species.

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