403 papers
This study reveals that climate-driven variations in maize-associated fungal communities and their predicted mycotoxin potential differ significantly across Keshan and Kashin-Beck disease endemic regions in China, suggesting that foodborne fungal exposomes, rather than selenium deficiency alone, may contribute to the geographic heterogeneity of these diseases.
An eight-year study in the Brazilian Cerrado demonstrates that sustained, monitored non-lethal removals of white-lipped peccaries effectively reduce both their population size and associated corn crop damage, offering a viable strategy for wildlife-agriculture coexistence in tropical landscapes.
This study demonstrates that the domestication of *Cucurbita* species alters key floral functional traits, such as flower size and nectar composition, which subsequently increase visitation by generalist pollinators while having no significant effect on specialist pollinators.
This study demonstrates that for well-watered crops, net radiation can be accurately estimated at daily time scales using regionally calibrated Brunt equations for clear-sky emissivity and air temperature as a practical substitute for canopy temperature, outperforming the standard Allen/FAO method.
This study introduces "PondSentry," a data-driven anomaly detection system utilizing tensor decomposition of next-generation sequencing time-series data to predict open raceway pond crashes up to three days in advance, thereby enabling timely interventions to improve the sustainability and productivity of industrial algal biomass cultivation.
This study reveals that while Socotra Cormorants in the Arabian Gulf form a large, interconnected population, they exhibit significantly lower genetic diversity and are isolated from the Arabian Sea population, raising concerns about their long-term evolutionary viability.
This study pioneers the application of quantitative stable isotope probing (qSIP) coupled with 18S rRNA sequencing to identify a diverse array of active protist grazers, including rare and abundant taxa across various trophic strategies, that assimilate prey biomass in natural freshwater communities.
This study demonstrates that Amsterdam albatross movements in the Southern Indian Ocean are driven by multi-scale wind pattern oscillations, with adults adapting to long-term climatic trends while juveniles are more susceptible to short-term synoptic weather systems, highlighting the need to consider broader atmospheric patterns for effective conservation in a changing climate.
This study utilizes an integrated proteo-transcriptomic approach to demonstrate that two closely related, co-distributed centipede species in peninsular India, *Scolopendra morsitans* and *S. hardwickei*, exhibit significant divergence in their venom protein repertoires and abundances, suggesting that distinct venom compositions may facilitate their ecological coexistence.
This study demonstrates that temperature conditions experienced during the autumn and winter pupal and egg stages of the winter moth induce carryover effects on spring phenology, which are only partially compensated for and decrease under warming conditions, highlighting the necessity of accounting for multi-stage thermal impacts to accurately predict phenological shifts and species interactions.
This study demonstrates that the insecticide temephos fundamentally alters the thermal performance of the dengue vector *Aedes aegypti* by reducing survival and shrinking thermal breadth, indicating that larvicide efficacy is highest in cooler conditions and highlighting the critical need to integrate temperature-dependent interactions into pest management strategies.
A study in southwestern Cundinamarca, Colombia, reveals that habitat transformation in the Eastern Andes significantly reduces amphibian and reptile diversity and simplifies community structure by favoring generalist species in open areas while forest remnants remain critical for supporting richer, more even assemblages.
This study reveals that while coarse-scale coastal dune habitat remains abundant beyond the northern range limit of *Camissoniopsis cheiranthifolia*, the species' distribution is constrained by declining fine-scale habitat suitability, increased patch isolation, and temporal instability, which collectively impede colonization and reduce occupancy.
This study demonstrates that while coral restoration in the Seychelles alters reef soundscapes, manual and machine learning acoustic analyses yield conflicting assessments of recovery rates, highlighting the necessity of using multiple metrics to accurately monitor restoration success.
This paper introduces a novel analytical framework based on branching process theory and recursive probability generating functions to calculate the joint distributions of kin numbers structured by both age and various life stages, such as parity, health, or location, thereby addressing a key challenge in kinship demography.
This paper clarifies the often-confusing landscape of camera trap density estimation methods for unmarked animals by developing a mathematical framework that maps the relationships between various estimators under specific simplifying assumptions, thereby providing a clearer conceptual foundation for researchers to select and implement appropriate monitoring strategies.
This study synthesizes 70 experimental tests to demonstrate that biological nitrogen fixation rates exhibit a consistent, scalable temperature dependence across biological levels and systems, driven by a fundamental enzyme-level thermal constraint with significant implications for global carbon-nitrogen cycles under climate change.
This paper proposes a flexible workflow, implemented in the `movedesign` R Shiny application, to optimize animal tracking study designs by balancing sampling duration, frequency, and population size against logistical constraints to ensure robust, unbiased population-level inferences for movement and space use.
Through a global expert assessment, this paper identifies critical software bottlenecks hindering the scalability of passive acoustic monitoring—particularly in AI-driven species identification and workflow fragmentation—and proposes practical strategies to develop more integrated, user-friendly, and collaborative systems for global biodiversity monitoring.
A seven-day exposure to treated wastewater effluent induces neurotoxicity, evidenced by reduced cholinesterase activity, and alters ecologically critical behaviors such as increased locomotion and avoidance of wastewater cues in the noble crayfish (*Astacus astacus*), suggesting that such contaminants can compromise survival and population dynamics in freshwater ecosystems.