Assessing both ecological and engineering resilience of a steppe agroecosystem using the viability theory
R. Sabatier,
F. Joly and
B. Hubert
Agricultural Systems, 2017, vol. 157, issue C, 146-156
Abstract:
The high dependence of rangeland-based livestock farming systems to environmental uncertainty makes the resilience of these systems as important as production. Quantification of resilience is however difficult to conduct in real systems due to their low reproducibility. In this study, we develop a modeling approach to quantify both engineering resilience (return time after a perturbation) and ecological resilience (magnitude of a perturbation that a system can bear) of a mixed herd livestock farming system in Mongolian steppes. The model, build within the framework of the viability theory, captures the dynamics of the herd and its management. The system has the particularity to be impacted by agro-climatic events called dzuds that induce massive mortalities when harsh climatic condition and high stocking densities are met. Results show that (i) resilience non-linearly depends on herd composition and the level of underground biomass of the system, (ii) contrasted management strategies may be followed to cope with the risk of dzud and (iii) according to their herd composition most herders of the area can absorb climate shocks unless they compete for forage with other herders. Results are discussed regarding the impact of forage resource sharing on the resilience of these grazing systems.
Keywords: Viability theory; Dynamic modeling; Rangelands; Mixed-herd; Resilience; Mongolia (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0308521X17300562
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:157:y:2017:i:c:p:146-156
DOI: 10.1016/j.agsy.2017.07.009
Access Statistics for this article
Agricultural Systems is currently edited by J.W. Hansen, P.K. Thornton and P.B.M. Berentsen
More articles in Agricultural Systems from Elsevier
Bibliographic data for series maintained by Catherine Liu ().