Publicación Artículo científico (article).

Land planning and risk assessment for livestock production based on an outranking approach and GIS

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/137015
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
  • Gallego Salguero, Aurea Cecilia|||0000-0002-0793-8902
  • Calafat Marzal, Maria Consuelo|||0000-0001-7040-181X
  • Segura, Marina|||0000-0002-6068-960X
  • Quintanilla, Israel
[EN] The new European regulatory requirements incorporate territorial livestock planning as a key element to correct risks for the sector, for the nearby population and for the environment. The risk potential is high in areas with greater livestock density, and in addition, its detection is more complex. The objective of this study is to propose and validate a methodology to assess the risk of livestock farms, considering sectorial, social and environmental criteria. The methodology is based on the integration of Geographical Information Systems (GIS) and multi-criteria tools. GIS is essential to obtain spatial data due to the location of the farms and to represent the results of the multicriteria analysis geographically. PROMETHEE, a multicriteria outranking method, has been applied to evaluate the risks of livestock farms, where the weights of different criteria have been obtained by using the AHP method from a group of experts. The method has also been applied to a region with areas of high cattle density with intensive production systems, composed of 4983 farms from the following species: cattle, horses, pigs, poultry, rabbits, sheep and goats. The region studied is the Valencian Community (VC) in the east of Spain., The authors acknowledge the support received from the Generalitat Valenciana through the research project "Sustainability of the Food Value Chain: From Production to Responsible Consumption" (Ref. AICO/2017/066), as well as the time and judgement from all experts involved in the survey carried out to elicit the weights of criteria. We also thank the two reviewers for their suggestions to improve the paper.
 

DOI: http://hdl.handle.net/10251/137015, https://dx.doi.org/10.1016/j.landusepol.2018.10.021
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/137015

HANDLE: http://hdl.handle.net/10251/137015, https://dx.doi.org/10.1016/j.landusepol.2018.10.021
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/137015
 
Ver en: http://hdl.handle.net/10251/137015, https://dx.doi.org/10.1016/j.landusepol.2018.10.021
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/137015