429 papers
Ecology explores the intricate relationships between living organisms and their environments, revealing how life adapts, interacts, and sustains itself across the planet. From microscopic soil communities to vast migratory patterns, this field examines the delicate balance that keeps ecosystems functioning and resilient. Understanding these connections is vital for addressing urgent challenges like climate change and biodiversity loss.
At Gist.Science, we make the latest research from bioRxiv accessible to everyone. We process every new preprint in this category as it appears, offering both clear plain-language explanations and detailed technical summaries to suit every reader. This approach ensures that groundbreaking findings in ecological science are not locked behind complex terminology but are available for immediate understanding and discussion.
Below are the latest papers in ecology, curated to help you stay informed about the evolving story of life on Earth.
This study demonstrates that species-specific contributions to benthic nutrient cycling are best predicted by continuous, depth-dependent trait combinations rather than categorical bioturbation modes, revealing distinct mechanistic links between specific trait expressions and nutrient concentrations.
This study demonstrates that bio-sourced nanoplastics derived from various polymers are not inert, as they significantly inhibit micro-algae growth, impair freshwater bivalve filtration, and trigger oxidative stress and immune responses in aquatic species.
This study demonstrates that Swiss glacial specialist plant species are more vulnerable to climate change than generalists because their distributions are driven primarily by bioclimatic variables that will shift beyond available high-altitude habitats, whereas generalists are more influenced by topographical and lithological factors that allow for greater adaptability.
Using a global dataset of over 115,000 observations, this study reveals that arbuscular mycorrhizal fungi possess broader ecological niches than ectomycorrhizal fungi, leading to a forecast of significant range contractions for both groups under future climate scenarios, with ectomycorrhizal fungi facing the most severe declines due to their narrower niche constraints.
This study demonstrates that a machine-learning approach trained on simple monoculture and biculture data can accurately predict the growth dynamics of complex multi-strain *E. coli* communities, suggesting that experiments with higher numbers of strains are often unnecessary due to diminishing returns.
This multi-year study reveals that overlapping flowering phenology and variable reproductive tradeoffs between two imperiled, interfertile *Sarracenia* species complicate conservation efforts by enabling hybridization while the more endangered taxon produces fewer viable seeds.
This study demonstrates that deep sequencing artificially inflates estimates of microbial diversity by generating spurious sequence variants, a phenomenon observed in both synthetic no-diversity controls and real microbial amplicons, thereby necessitating caution when comparing samples with vastly different read depths.
This study demonstrates that analyzing fatty acid biomarkers in coastal bird feces offers a promising, non-invasive method for monitoring seagrass meadow health and distinguishing between healthy and collapsed ecosystems by tracing trophic interactions and detecting disease pathogens.
This paper proposes that a simple geometric model, based on the random placement of dispersal barriers within continental domains, explains the global patterns of species rarity and range size distributions observed across amphibians, birds, and mammals.
A 28-year Bayesian analysis of Pacific harbor seals in Alaska reveals an overall abundant population of over 200,000 individuals in 2023, though trends have shifted from initial growth to recent variability and regional declines linked to climate anomalies and glacial retreat.