ADAPTIVE MANAGEMENT: THINKING OVER A WAY TO REDUCE ENVIRONMENTAL PROBLEMS FROM LIVESTOCK PRODUCTION

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Correia, C (Author) Other; Cristina Chaves (Author) FEP

Conference proceedings International

Title: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON ENERGY & ENVIRONMENT (ICEE 2019): BRINGING TOGETHER ENGINEERING AND ECONOMICS

Pages: 378-384

4th International Conference on Energy and Environment - Bringing together Engineering and Economics (ICEE)

Guimaraes, PORTUGAL, MAY 16-17, 2019

Indexing

ISI Web of Knowledge - 0 Citations

Other information

Authenticus ID: P-00R-E70

Abstract (EN): There is an urgent need to develop new forms of ecosystem management of livestock, in order to encompass economic, social and environmental issues. Livestock farming is often seen as responsible for serious environmental problems such as desertification and intensification of methane emissions. However, when practiced with concern for ecosystems, livestock production can counteract some of these problems and contribute to sustainable development. Adaptive management emerges as a holistic concept of land management that has a capacity to regenerate and provide greater resilience to ecosystems through the use of animals. The implementation of a rotational grazing system provides a greater control over the distribution of animals that, in turn, control biomass in the ecosystem. Knowing that Portugal faces various problems in terms of land management, this paper intends to offer a preliminary approach of how extensive production of animals could contribute to solve some environmental concerns related with livestock production. In order to achieve this goal we use scenarios, concerning two hypothetical situations in two different regions in Portugal, and apply as methodological tool the HOLOS Model Research Program, in order to try to design new ways to deal with livestock production and achieve a sustainable practice.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7