Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 19, 2024
Language: Английский
Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 19, 2024
Language: Английский
Published: March 28, 2025
Language: Английский
Citations
0IntechOpen eBooks, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 3, 2024
Livestock operations have many challenges. In addition to animal health and genetics, producers must also manage healthy environments for raising their animals. Forage-based systems allow use solar energy as one input overall production through the photosynthetic potential of forage species. Intensive grazing can opportunities more efficiency forages over space time when managed properly. Producers consider needs livestock, seasonal aspects production, environmental resources available. Rotating animals from paddock requires producer make decisions daily. Best management practices used in livestock aid quality improvement, soil health, practical systems. Several methods are employed at Southeast Missouri State University Agriculture Research Center, Gordonville, Missouri, United States America. Some these best place Center include following: smaller paddocks with rotational schedules, access water protected streambanks, movable shade areas, cool-season warm-season species, specific areas winter feeding, more. Providing knowledge examples allows informed system goals based on science, environment, economics.
Language: Английский
Citations
1Environmental Science & Policy, Journal Year: 2024, Volume and Issue: 162, P. 103916 - 103916
Published: Oct. 3, 2024
Language: Английский
Citations
1Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(11), P. 114077 - 114077
Published: Oct. 10, 2024
Abstract Improving the sustainability of European cattle sector requires improved knowledge not only density cattle, but also grazing patterns. Only in this way can potential negative impacts related to local ecosystem degradation, as well positive ones such preserving cultural landscapes through grazing, be analyzed. While data on livestock distribution often used scientific analyses provide estimates density, separation between that has access outdoor and those remain indoors is available. This problematic because it prevents identification intensity type grassland management, consequential environmental livestock. Here we present an approach where combined agricultural veterinary statistics, in-situ data, expert surveys machine learning develop a map for wider Union region. Our resulting allow differentiation are actually versus do not. We compare our method traditional approaches have clear non-grazing illustrating implications agricultural, land use assessments.
Language: Английский
Citations
1Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 19, 2024
Language: Английский
Citations
0