000127934 001__ 127934
000127934 005__ 20241125101144.0
000127934 0247_ $$2doi$$a10.1038/s41598-023-41524-4
000127934 0248_ $$2sideral$$a135105
000127934 037__ $$aART-2023-135105
000127934 041__ $$aeng
000127934 100__ $$aMuñoz-Ulecia, Enrique
000127934 245__ $$aDependence on the socio-economic system impairs the sustainability of pasture-based animal agriculture
000127934 260__ $$c2023
000127934 5060_ $$aAccess copy available to the general public$$fUnrestricted
000127934 5203_ $$aLivestock systems contribution to environmental change is controversial. Pasture-based systems are considered a sustainable alternative due to their adaptation to the use of local natural resources. However, they have limited productivity per product unit and, in Europe, depend on public economic support. Furthermore, they are heterogeneous in farm structure and resources use, which may determine their sustainability. We use emergy accounting to assess the sustainability of mountain pasture-based cattle systems and analyse the variability among farms. Emergy accounting assesses the sustainability performance of complex systems (i.e., farming systems) and their interaction with other systems (i.e., the environment and the socio-economic system) focusing on the origin, quality and quantity of the energy required for the system to function. Results show that pasture-based systems largely use local natural renewable resources but depend largely on the wider socio-economic system given their reliance on public economic support and purchased animal feeds. This economic dependence turns out in most farms largely using non-renewable resources. Increasing self-produced feeds and grazing on natural pastures can reduce the dependence on the socio-economic system and improve farm sustainability.
000127934 536__ $$9info:eu-repo/grantAgreement/ES/DGA/A14-17R$$9info:eu-repo/grantAgreement/EC/H2020/727213/EU/Genomic management Tools to Optimise Resilience and Efficiency/GenTORE$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 727213-GenTORE
000127934 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000127934 590__ $$a3.8$$b2023
000127934 592__ $$a0.9$$b2023
000127934 591__ $$aMULTIDISCIPLINARY SCIENCES$$b25 / 134 = 0.187$$c2023$$dQ1$$eT1
000127934 593__ $$aMultidisciplinary$$c2023$$dQ1
000127934 594__ $$a7.5$$b2023
000127934 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000127934 700__ $$0(orcid)0000-0002-3237-9751$$aBernués, Alberto
000127934 700__ $$aBriones-Hidrovo, Andrei
000127934 700__ $$0(orcid)0000-0003-3943-5311$$aCasasús, Isabel
000127934 700__ $$0(orcid)0000-0002-2087-961X$$aMartín-Collado, Daniel
000127934 773__ $$g13, 1 (2023), 14307 [11 pp.]$$pSci. rep. (Nat. Publ. Group)$$tScientific reports (Nature Publishing Group)$$x2045-2322
000127934 8564_ $$s1380343$$uhttps://zaguan.unizar.es/record/127934/files/texto_completo.pdf$$yVersión publicada
000127934 8564_ $$s2726428$$uhttps://zaguan.unizar.es/record/127934/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000127934 909CO $$ooai:zaguan.unizar.es:127934$$particulos$$pdriver
000127934 951__ $$a2024-11-22-12:03:54
000127934 980__ $$aARTICLE