413 papers
MetaBeeAI is an open-source, modular pipeline that integrates large language models with expert-in-the-loop validation to enable transparent, reproducible, and scalable extraction of structured evidence from complex biological literature.
This study refutes the hypothesis that increased precipitation causes declining methane uptake in forest soils through diffusion limitation, as 27 years of data from the Baltimore Ecosystem Study and 14 years from Hubbard Brook show precipitation explains negligible variance in flux, pointing instead to chronic biological degradation driven by nitrogen inhibition and invasive earthworm activity.
Exposure to the green leaf volatile (Z)-3-hexenol alone is sufficient to prime tobacco plants for enhanced defense against herbivores without imposing fitness costs, thereby enabling faster and stronger resistance while maintaining normal growth and reproduction.
This study demonstrates that vibrational signatures derived from locomotion play a critical role in ant-termite predator-prey dynamics and mimicry, revealing that the inquiline termite *Macrognathotermes sunteri* successfully masks its presence by producing footstep vibrations that overlap with those of its host, *Coptotermes acinaciformis*.
By integrating community ecology and statistical physics, this study demonstrates that diverse microbial communities promote the coexistence of closely-related strains through emergent equalizing and stabilizing mechanisms mediated by indirect interactions, which can even transform competitive relationships into apparent mutualism.
By analyzing a massive HPAI outbreak in a threatened Dalmatian pelican population, this study reveals that the 2022 panzootic was driven by a single introduction and exhibits higher transmissibility and shedding duration than previous subtypes, while demonstrating that current control measures like carcass removal and manual vaccination are largely ineffective for wildlife management.
This study reveals that current protected areas in Cuba inadequately cover freshwater biodiversity, necessitating a significant expansion of conservation efforts—particularly in headwaters and for endemic species—to meet global targets, while suggesting that excluding existing reserves in planning could optimize resource efficiency.
This comprehensive meta-analysis of 775 effect sizes across diverse host-parasite systems provides strong experimental evidence that elevated temperatures generally increase parasitism, supporting the "warmer, sicker world" hypothesis while highlighting significant heterogeneity in responses across different taxa and ecosystems.
This study presents the first cradle-to-farm-gate Life Cycle Assessment of broiler chicken production in India's North Eastern Himalayan region, revealing that feed production (particularly maize) is the primary environmental hotspot and establishing a global warming potential of 3.77 kg CO2-eq per kilogram of live weight.
An integrated risk assessment and species distribution modeling study reveals that 15 non-native fish species, particularly tilapias, pose a high invasion risk to the Shadegan International Wetland and lower Tigris Basin, with climate change potentially expanding their suitable habitats and underscoring the urgent need for coordinated transboundary management.
This study utilizes the TPS-ISK screening tool to assess 34 non-native urban tree species in continental Europe, revealing that while nearly 30% currently pose a high invasion risk, climate change projections significantly elevate these threats, necessitating urgent proactive management and monitoring strategies.
This study analyzes over 34,000 images of 10,400 ant species worldwide to demonstrate that their coloration is driven by multiple independent environmental factors—such as UV radiation, precipitation, and temperature—rather than a single macroecological rule like Gloger's rule.
This study demonstrates that a species' range expansion rate is limited by its dispersal ability only when that ability is slower than the velocity of climate shifts, a relationship confirmed through empirical analysis of terrestrial plants and birds.
This study of a 143-year grassland restoration chronosequence reveals that while plant diversity recovers rapidly, soil microbial communities undergo a taxonomic contraction accompanied by a functional expansion in carbon cycling and stress tolerance, indicating that passive regeneration alone is insufficient for full ecosystem recovery due to persistent soil legacy effects.
This study demonstrates that caribou on Fogo Island adapt to seasonal nitrogen scarcity by shifting their habitat selection from nitrogen-rich vascular plants in summer to nitrogen-poor lichen in winter, a behavioral strategy that facilitates the spatial transport and potential recycling of nitrogen across landscapes to mitigate winter nutrient deficits.
This study resolves the paradox of sub-linear symbiotic scaling by demonstrating that specialist symbionts, which drive global biodiversity accumulation and face the highest coextinction risks, fundamentally constrain ecological network architecture and likely constitute the majority of threatened species on Earth.
This study establishes the first consolidated marine biosecurity baseline for the ROPME Sea Area by systematically validating 192 species, correcting previous inconsistencies, and identifying 39 extant species as very high risk to enable coordinated transboundary management of biological invasions.
This paper explores the application of neural network tools, specifically LSTMs, CNNs, and Reinforcement Learning, to address key fisheries science challenges in forecasting, spatial standardization, and policy optimization, while acknowledging their tradeoffs and outlining future research directions.
Using an individual-based simulation model, this study demonstrates that disturbance levels and habitat amount, rather than fragmentation alone, are the primary drivers shaping community-weighted dispersal strategies in both continuous and fragmented landscapes.
This study utilizes drone-based remote sensing and deep learning to reveal that sympatric stingrays in a Red Sea lagoon exhibit fine-scale habitat partitioning and distinct foraging strategies, with bluespotted ribbontail rays occupying shallow mangrove edges for disruptive digging while larger whiprays inhabit macroalgal reef flats for non-disruptive feeding.