Biophysical variability and politico-economic singularity: Responses of livestock numbers in South Mongolian nomadic pastoralism

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • John Oliver Engler - , Leuphana Universität Lüneburg (Autor:in)
  • Karsten Wesche - , Internationales Hochschulinstitut (IHI) Zittau, Professur für Biodiversität der Pflanzen (g.B. Senckenberg), Senckenberg Museum für Naturkunde Görlitz (Autor:in)
  • Petra Kaczensky - , Veterinärmedizinische Universität Wien, Norwegian Institute for Nature Research, Inland Norway University of Applied Sciences (Autor:in)
  • Prabesh Dhakal - , Leuphana Universität Lüneburg (Autor:in)
  • Oyundari Chuluunkhuyag - , National University of Mongolia (Autor:in)
  • Henrik von Wehrden - , Leuphana Universität Lüneburg (Autor:in)

Abstract

We analyzed a unique data set of livestock numbers in the Mongolian southern Gobi. In a novel approach, we combined biophysical data on precipitation and pasture biomass productivity with data on fine wool prices from 1981 through 2015 to investigate dynamic patterns and responses of livestock numbers in Mongolia's southern Gobi. Using piecewise structural equation modeling enabled us to disentangle the effects of biophysical and politico-economic factors on livestock numbers and species composition, paying particular attention to the singular transition from centrally planned to free-market economy that happened in Mongolia in 1992. Our analysis reveals that biophysical and politico-economic factors were both important determinants of livestock numbers, and highlights the politico-economic singularity of 1992 as the single-largest driver of livestock dynamics in the period investigated.

Details

OriginalspracheEnglisch
Aufsatznummer107073
FachzeitschriftEcological economics
Jahrgang187
PublikationsstatusVeröffentlicht - Sept. 2021
Peer-Review-StatusJa

Schlagworte

Schlagwörter

  • Extreme Events, Piecewise Structural Equation Modeling, Gobi, Nomadic Herding, Post-Soviet Mongolia, Precipitation Variability, Productivity