https://www.brilliance-pub.com/JARA <p> </p> <p> </p> Brilliance Publishing Limited en-US Journal of Academic Research and Advances 3079-7381 https://www.brilliance-pub.com/JARA/article/view/169 <p>The intensification of companion animal care in urban China has led to the rapid proliferation of veterinary clinics, particularly in megacities such as Beijing. However, this expansion brings with it a largely overlooked set of environmental risks associated with the use and disposal of veterinary antibiotics. This study investigates the presence, mobility, and ecological implications of antibiotic residues and antimicrobial resistance genes (ARGs) in small animal clinics across Beijing. Through site-specific contamination mapping, molecular diagnostics, and spatial flow analysis, we identify key zones of microbial persistence and chemical accumulation—including treatment surfaces, drainage systems, air particulates, and high-contact equipment. We further examine how horizontal gene transfer, biofilm formation, and human–animal interaction collectively shape the clinical resistome. The study proposes a risk-based sanitation model informed by quantification strategies such as qPCR, LC-MS/MS, and GIS-integrated hotspot mapping. Our findings reveal the urgent need for targeted policy interventions, infrastructure upgrades, and staff-client behavior protocols to contain veterinary-sourced ARGs in high-density urban ecosystems. This work contributes to a broader One Health understanding of how antimicrobial stewardship must expand beyond hospitals and farms to include the microecologies of urban veterinary practice.</p> Jiancheng Yu Copyright (c) 2025 Journal of Academic Research and Advances https://creativecommons.org/licenses/by-nc/4.0 2025-07-01 2025-07-01 1 1 1 11 10.53104/j.acad.res.adv.2025.06001 https://www.brilliance-pub.com/JARA/article/view/182 <p>Climate modeling plays a pivotal role in shaping global and regional adaptation strategies, yet its effectiveness often falters at the local level due to epistemic and institutional disjunctures. This paper interrogates the limitations of conventional climate models in supporting localized adaptation and proposes epistemic co-production as a transformative framework for reconciling scientific and situated knowledge. Drawing on interdisciplinary literature and empirical case studies from diverse geographic contexts, the paper demonstrates how co-production processes foster trust, contextual relevance, and procedural legitimacy. The analysis reveals that while co-production enhances the usability of climate information, its implementation faces significant barriers—including institutional rigidity, power asymmetries, and temporal misalignments. Through conceptual synthesis and diagrammatic modeling, the paper advocates for a relational, iterative approach to adaptation planning, grounded in mutual learning and inclusive governance. It concludes by identifying institutional reforms and methodological innovations necessary to embed co-production within mainstream climate science and policy. Epistemic co-production is framed not only as a strategy for improving model uptake, but as a democratizing force in the politics of climate knowledge.</p> Ting Zhao Copyright (c) 2025 Journal of Academic Research and Advances https://creativecommons.org/licenses/by-nc/4.0 2025-06-30 2025-06-30 1 1 12 26 10.53104/j.acad.res.adv.2025.06002