ENVIRONMENTAL IMPACT AND MITIGATION APPROACHES IN LIVESTOCK PRODUCTION SYSTEMS

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:A comprehensive overview of livestock emission sources and mitigation technologies, useful for identifying research gaps in AI-enabled environmental monitoring and microbiome engineering.

🏢実務担当者:Practical insights on precision feeding, low-emission diets, and anaerobic digestion that can be adopted by livestock farms to reduce environmental footprint and potentially lower costs.

🏛政策担当者:Evidence on the effectiveness and barriers (cost, data gaps, behavioral resistance) of climate-smart livestock practices, informing support programs and regulatory frameworks.

Abstract: Although livestock production methods have a significant negative impact on the environment, they are essential to rural livelihoods, economic growth, and global food security. The environmental effects of livestock systems and mitigation techniques are summarized in this review, with particular attention paid to greenhouse gas emissions, land degradation, water pollution, biodiversity loss, and antibiotic resistance. While pig and poultry farms produce large volumes of ammonia and nutrient-rich effluents that damage water resources, ruminant animals like cattle and buffalo are important contributors to methane emissions through enteric fermentation. Whereas vast pastoral systems frequently cause overgrazing and desertification in delicate ecosystems, intensive systems hasten land-use change for feed crop cultivation, causing soil erosion and forest fragmentation. Anaerobic digestion, precision feeding, low emission diets, and biogas recovery are examples of technological treatments that have shown promise in reducing environmental footprints. The conservation of native breeds and genetic development initiatives aimed at improving feed efficiency and methane-reducing characteristics provide complimentary approaches. Real-time monitoring and emission reduction at the farm level are made possible by the combination of artificial intelligence (AI), microbiome engineering, and the Internet of Things (IoT). The adoption of climate-smart livestock practices is influenced by socioeconomic factors such market-driven sustainability, gender dynamics, and livelihood dependency. High technology costs, a dearth of emission data, institutional fragmentation, and smallholders' behavioral resistance are some of the difficulties. Adaptive solutions in line with ecological integrity and productivity are offered by climate resilient infrastructure and silvopastoral systems. Keywords: Livestock, Sustainability, Emissions, Biodiversity, Manure, Grazing, Innovation

• openalex https://doi.org/10.5281/zenodo.20966358first seen 2026-07-18 05:22:21