404 papers
This study reports a catastrophic 2025 marine mortality event in South Australia caused by a massive bloom of the novel brevetoxin-producing species *Karenia cristata*, which, alongside other *Karenia* species, generated a unique toxin profile and unprecedented ecological damage, highlighting an emerging global threat in changing ocean conditions.
Through an integrative multi-evidence framework combining archival reconstruction, morphological re-examination, climatic niche modeling, and modern survey data, this study demonstrates that historical records of the Dusky Parrot (*Pionus fuscus*) in Colombia were misidentified specimens of *Pionus chalcopterus*, thereby confirming the species' absence from the country and supporting its removal from national checklists.
This two-year field experiment in Mediterranean oak woodlands reveals that while road verges concentrate rodent seed handling and increase dispersal frequency near unpaved roads, they do not enhance dispersal distances or cross-road connectivity, as seed movement outcomes are instead driven by the interaction of road-forest edge context, road type, and microhabitat structure.
In eutrophic wetlands, the construction of small artificial ponds alone is insufficient for maximizing biodiversity, but implementing follow-up management regimes—particularly extensive grazing to create structural heterogeneity and mowing to support vegetation-dependent species—significantly enhances aquatic macroinvertebrate diversity and assemblage composition.
This study demonstrates that deep convolutional neural networks trained on synthetic spatial patterns generated by a mechanistic model can effectively infer the resilience and deterioration states of *Posidonia oceanica* seagrass meadows from single cartographic snapshots, offering a scalable strategy for monitoring self-organized ecosystems when temporal data is scarce.
This paper introduces a computational "morphotype" approach that analyzes movement and morphology in vertical radar data to significantly increase taxonomic resolution, thereby enabling the study of "Aerodiversity" and bridging the gap between large-scale radar observations and specific species identification.
A two-year landscape-scale study in Wisconsin demonstrates that assisted tallgrass prairie restoration, particularly when combined with moderate-intensity management like prescribed fire, significantly increases bumble bee abundance, diversity, and the presence of rare species by enhancing floral resources, regardless of the surrounding landscape context.
This paper demonstrates that flexible, nonparametric Gaussian process models effectively forecast irregularly sampled ecological time series, such as tick abundances, outperforming standard linear regression approaches without requiring external drivers or predefined relationships.
This paper introduces a framework based on Modern Coexistence Theory and community disassembly graphs to identify the timing and mechanistic causes of secondary extinctions across various species interactions, offering a flexible approach to understanding community disassembly.
PlanktonFlow is an open-source, user-friendly Python pipeline designed to empower biologists with limited deep-learning expertise to automate the pre-processing, training, optimization, and inference of high-performance convolutional neural networks for plankton image classification, demonstrating superior accuracy over existing tools like EcoTaxa.
By analyzing two decades of GPS tracking and satellite albedo data, this study reveals how dynamic lake ice conditions act as a seasonal behavioral filter that dictates barren-ground caribou crossing decisions, establishing quantitative thresholds for predicting climate-driven shifts in Arctic migration connectivity.
This paper introduces IRIS, an agent-based modeling tool that uses in-silico simulations to optimize mosquito control trial designs by evaluating how variables like release ratios and timing impact the effectiveness of inundative releases of modified males.
This study analyzes four decades of clam fisheries data in Spain to demonstrate that while the northwest Mediterranean has suffered from overexploitation and fragmented governance, the Andalusian region has achieved greater resilience through adaptive, science-based co-governance, underscoring the need for coordinated, participatory management frameworks to ensure the sustainability of small-scale fisheries.
This study identifies the Northern Red-backed Vole (*Clethrionomys rutilus*) as a likely reservoir for Borealpox virus by detecting the pathogen in both contemporary wild populations and historical museum specimens dating back to the late 1990s, suggesting the virus has been circulating in Alaskan small mammals for at least 25 years prior to the first reported human cases.
This study demonstrates that in king scallops (*Pecten maximus*), domoic acid accumulation is negatively correlated with body size during contamination but shifts to a positive correlation after prolonged depuration, a dynamic driven by the combined effects of faster toxin clearance in smaller individuals and toxin dilution through growth.
This study documents the 2021–2025 monitoring of advancing round goby populations in New York and Quebec via the Hudson/Champlain Canal and Saint Lawrence/Richelieu River approaches to Lake Champlain, utilizing eDNA and traditional sampling to map their proximity to the lake, assess temperature-driven habitat use, and detect viral hemorrhagic septicemia virus to inform invasive species management strategies.
This paper integrates existing theories on predator-prey interactions and habitat complexity to demonstrate that edible habitat complexity (EHC) species, which are both consumed and provide structural refuge, significantly stabilize aquatic food webs by offering "safety in rarity" for both prey and the EHC species themselves.
By integrating historical spatial genetic structure with contemporary parentage analyses across four populations of *Dicorynia guianensis* in French Guiana, this study reveals contrasting patterns of gene dispersal and reproductive success that highlight the critical value of multi-temporal genetic approaches for assessing the demographic stability and conservation needs of tropical forest trees.
This study redefines vessel-whale close encounters using a dynamic Time to Potential Collision (TPC) metric to quantify risks in the Eastern North Atlantic, revealing that sperm and beaked whales are frequently involved and that factors like poor visibility, cargo ships, and inexperienced observers significantly reduce detection time, thereby underscoring the need for speed reductions and experienced marine mammal observers to mitigate collision risks.
This study analyzes 21 years of light trap data for the conifer silk moth *Dendrolimus superans* to develop three models that link weather-driven flight initiation, long-term population dynamics, and binary catch patterns, ultimately demonstrating that adult catch data can serve as a reliable proxy for larval density and enabling the analysis of sparse pest populations.