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Mature cow weight (MWT), height (MHT), and body condition score (BCS) are economically important traits that significantly influence cowherd profitability by affecting maintenance feed requirements, which is the largest component of production costs. This study aimed to identify genomic regions, candidate genes, and pleiotropic variants associated with mature cow size traits in American Angus cattle, and to characterize their...
Insights from three decades of IUCN Red List assessments catalyzing shark, ray, and chimaera conservationNARA Subscribed
The International Union for Conservation of Nature (IUCN) Red List of Threatened Species is a critical measure of global aquatic and terrestrial biodiversity status. It is also the basis for the Red List Index, which tracks extinction risk over time. Sharks, rays, and chimaeras (Chondrichthyes) have now been comprehensively assessed twice (1996–2011 and 2012–2021) with hindcast assessments from 1970 onward, yielding an unprece...
Knowledge of the dietary composition of Atlantic marlins, especially for recently acknowledged species such as roundscale spearfish ( Tetrapturus georgii ), is limited, as sample access is constrained by international quotas and intermittent landing rates. A series of annual offshore recreational fishing tournaments target Atlantic blue marlin ( Makaira nigricans ), white marlin ( Kajikia albida ) and roundscale spearfish on t...
Multi‐Decadal Dynamics of Wetland Methane Emissions Revealed by Knowledge‐Guided Machine LearningNARA Subscribed
Measurement of methane fluxes (FCH 4 ) from natural systems, such as wetlands, has lagged far behind carbon dioxide fluxes. Short and fragmented wetland FCH 4 data limit our ability to assess its long‐term dynamics and potential climate feedbacks. Extrapolating short‐term FCH 4 records to recent decades remains challenging for both process‐based models and data‐driven machine learning (ML) approaches. Here, we develop a knowle...
Passive acoustic monitoring reveals surprising patterns of avian community antipredator behavior at a regional scaleNARA Subscribed
Passive acoustic monitoring has underutilized potential for studying animal behavior at a landscape scale. We used passive acoustic recordings collected across the entire western slope of the Sierra Nevada, USA, and the artificial intelligence (AI) algorithm BirdNET to investigate avian vocal responses to a predator (American goshawks) throughout this ecosystem. We found a significant decrease in total avian vocal output follo...
The San Joaquin Valley is one of the most intensive oil and gas and agricultural production regions of the United States, yet the regional groundwater salinity distribution is not well defined, particularly near the western margin of the valley where salinity is highly variable. Airborne electromagnetic (AEM) surveys were conducted to improve the understanding of the three-dimensional variations in groundwater salinity in the...
Marine megafauna species are affected by a wide range of anthropogenic threats. To evaluate the risk of such threats, species’ vulnerability to each threat must first be determined. We build on the existing threats classification scheme and ranking system of the International Union for Conservation of Nature (IUCN) Red List of Threatened Species by assessing the vulnerability of 256 marine megafauna species to 23 at‐sea threat...