413 papers
In a study of *Tanacetum vulgare*, aphid presence and abundance were found to be the primary drivers of ant behavior, outweighing the influence of plant-level terpenoid chemodiversity and specific chemotypes.
This study demonstrates that the binary mixture of imidacloprid and epoxiconazole exhibits synergistic toxicity on earthworm life-history traits, particularly reproduction, suggesting that current environmental risk assessments based on single substances may significantly underestimate the ecological risks posed by pesticide mixtures in agricultural soils.
This study utilized ex-situ pulse-chase tracer experiments in the Eastern Scheldt to reveal that while sponges, crabs, and limpets were the primary consumers of bacterioplankton, the link between feeding and metabolic activity in *Magallana gigas* reefs was strong in summer but decoupled in autumn, with overall consumption being significantly lower in summer despite comparable metabolic rates.
This paper introduces a "pheno-clock" framework that applies chronobiological metrics to satellite data of European beech forests, revealing that climate shapes not only the timing of seasonal growth but also the underlying rhythmic structure and asymmetry of annual rest-activity cycles.
This study demonstrates that process-guided neural networks outperform both standalone process models and data-driven neural networks in predicting forest carbon fluxes, particularly offering superior robustness and generalizability in data-sparse settings and under unseen climatic conditions.
By analyzing over 1,000 datasets across 103 plant species, this study resolves the herbivory paradox by demonstrating that plants exhibit nonlinear tolerance—being resilient to frequent low-level damage but highly vulnerable to infrequent severe damage—which stabilizes population dynamics and explains the persistence of green vegetation despite herbivore pressure.
This study demonstrates that while water-borne corticosterone (WB-CORT) effectively reflects internal hormone levels in both wild and laboratory-reared common frog larvae, its utility as a conservation tool is limited by context-dependent responses to environmental stressors and significant physiological differences between captive and field populations.
This study utilizes network modeling to identify ten critical stepping stone reefs in Indonesia, Mozambique, the Glorioso Islands, and Malaysia that are essential for maintaining global connectivity among climate refugia, thereby enhancing the long-term resilience and persistence of coral reef ecosystems against climate change and anthropogenic pressures.
This study reveals that *Candidatus* Liberibacter asiaticus manipulates the dopamine signaling axis by upregulating dopamine levels and suppressing the receptor DcDop2 via miR-31a to enhance lipid metabolism and fecundity in the Asian citrus psyllid, thereby promoting its own replication and establishing a coevolutionary relationship with its vector.
This paper provides a general theoretical explanation, validated by simulations and empirical data from *Daphnia* metacommunities, demonstrating that weak dispersal and larger landscape sizes jointly promote local biodiversity in heterogeneous competitive systems by linking species persistence to regional abundance, local invasion rates, and the feasibility domain.
This study utilizes a global in situ dataset to demonstrate that the relationship between phytoplankton diversity and carbon biomass varies significantly depending on the measurement method employed—comparing remote sensing, HPLC pigments, and gene sequencing—thereby establishing a baseline for future global observations using NASA's PACE satellite.
This study of nearly 2,000 seabirds across five sub-Antarctic islands reveals that while specific host species and breeding behaviors (such as burrowing) significantly influence infectious agent community composition, temporal and spatial factors have limited impact, highlighting the complexity of host-pathogen interactions that cannot be fully explained by broad functional traits alone.
By introducing the Stress Degree Days (SDD) index to quantify chronic sublethal thermal stress, this study reveals that prolonged warming below lethal limits is driving significant fragmentation and cover loss in Mediterranean *Posidonia oceanica* meadows, with projections indicating severe habitat collapse under future climate scenarios.
Using a process-based model across southern Italian Mediterranean forests, this study reveals that decadal climate variability has driven a decoupling between photosynthetic activity and tree growth, where canopy greening can mask underlying structural vulnerability and previsual decline despite apparent trends in photosynthesis.
This study demonstrates that in bacteriophage spatial expansions, optimal fitness traits and competitive outcomes are not determined by standard isolation metrics but are instead driven by the complex interplay between resource availability, system dimensionality, and ecological context.
This study leverages Sentinel-2 data and machine learning to reveal that while warming generally extends the growing season across Italian forests, species-specific responses to climatic drivers like drought and light availability often decouple phenological shifts from productivity, particularly in Mediterranean and mountain environments.
This study demonstrates that the patchy distribution of the Arizona gray squirrel across the Madrean Sky Islands is primarily shaped by historical habitat size and connectivity during the Last Glacial Maximum rather than current conditions, highlighting a legacy of Pleistocene connectivity and the need for management strategies that account for historical refugia and future climatic shifts.
This paper presents a fully automated pipeline using small, GPS-synchronized passive acoustic arrays to achieve accurate three-dimensional localization of bird vocalizations in complex forest soundscapes, demonstrating that such systems can recover ecologically meaningful spatial data without manual intervention.
Although chronic predation risk induced persistent, sex-specific changes in antipredator behavior and swim endurance in male threespine stickleback, it did not result in long-term physiological costs such as shortened telomere length or stunted growth.
This paper introduces Multiple Imputation Step Selection Analysis (MiSSA), a novel method that improves the accuracy of travel distance estimation in animal movement studies by addressing the underestimation bias inherent in conventional Integrated Step Selection Analysis (iSSA) caused by linear interpolation assumptions.