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Indices based on macrobenthic responses to disturbance remain to be adequately tested for the detection of spatial variability by robust sampling designs. We present herein a congruence test to real-world data of the widely used indices AMBI, M-AMBI and BENTIX in tidal flats of a subtropical estuary. We used a hierarchical sampling design to evaluate the spatial variability of the indices in response to distinct levels of sewage contamination. Indices were then tested for correlations with chemical proxies of contamination and for the similarity of responses. BENTIX and M-AMBI produced over- and underestimations of ecological status. We found a low degree of similarity among indices as an expression of the spatial variation of macrofaunal assemblages on their performances. Only AMBI varied at the contamination scale (10(3)m) and was congruent with physical-chemical proxies. Ambiguous responses indicated effects of natural inputs of organic matter rather than environmental quality associated to sewage.
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http://dx.doi.org/10.1016/j.marpolbul.2014.10.025 | DOI Listing |
Proc Natl Acad Sci U S A
September 2025
Australian Antarctic Division, Kingston, TAS 7050, Australia.
Antarctic krill () is the central prey species in the Southern Ocean food web, supporting the largest and fastest-growing fishery in the region, managed by the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR). Climate change is threatening krill populations and their predators, while current catch limits do not take into account climate variability or krill population dynamics. In 2024, CCAMLR was unable to renew its spatial catch limits, highlighting the urgent need for improved management of the krill fishery to prevent any harm to the Southern Ocean ecosystem.
View Article and Find Full Text PDFPLoS One
September 2025
College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China.
Traffic congestion frequently occurs in the drop-off zones of large integrated passenger hubs, posing significant challenges to the efficient utilization of lane space. This study develops a First-In-First-Out (FIFO) taxi drop-off decision-making model, incorporating both static and dynamic Logit frameworks grounded in panel data analysis. The model accounts for heterogeneity across vehicles, temporal variations, and spatial factors influencing drop-off decisions.
View Article and Find Full Text PDFJ Antimicrob Chemother
September 2025
Department of Pharmaceutical Sciences, University of Michigan College of Pharmacy, Ann Arbor, MI 48109, USA.
Background: Synergy between antibiotic pairs is typically discovered using chequerboard assays that assume uniform, static drug exposure; however, such conditions rarely apply in vivo. Dynamic and heterogeneous tissue environments create spatial and temporal mismatches in drug exposure that can uncouple synergistic interactions, leading to unexpected treatment failure.
Objective: This study aims to develop a physiologically relevant in vitro model that integrates infection-site microenvironments and drug-specific pharmacokinetics.
New Phytol
September 2025
Department of Ecology & Evolution, University of Chicago, Chicago, IL, 60637, USA.
Understanding the rate and nature of adaptation is crucial for managing biodiversity across our changing landscapes. This perspective synthesizes insights from resistance evolution - a case of rapid, repeated adaptation to extreme human-mediated selection - to reveal how adaptive genetic architectures determine and feedback with evolutionary dynamics. Recent population genomic and quantitative genetic approaches have demonstrated that the extent of genetic parallelism and reliance on de novo vs standing genetic variation can vary with the complexity of genetic architectures.
View Article and Find Full Text PDFMar Life Sci Technol
August 2025
Key Laboratory of Mariculture of Ministry of Education, Fisheries College, Ocean University of China, Qingdao, 266003 China.
Unlabelled: Microhabitat heterogeneity results in significant variations in the thermal environment on a small spatial scale, leading to different intensities of cold stress during extreme low-temperature events. Investigating variations in body temperature and metabolomic responses of organisms inhabiting different microhabitats emerges as an important task for understanding how organisms respond to more frequent extreme low-temperature events in the face of climate change. In the present study, we measured substrate temperature, air temperature, wind speed, light intensity, and body temperature to evaluate the relative importance of drivers that affect body temperature in different microhabitats, and determined the metabolomic responses of intertidal snails and limpets from different microhabitats (snail: exposed vs.
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