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The Production of Pastoral Space: Modeling Spatial Occupation of Grazing Land for Environmental Impact Assessment Using Structural Equation Modeling

Author

Listed:
  • Bayarmaa Byambaa

    (Chair of Land Management, Department of Aerospace and Geodesy, Technical University of Munich, 80333 Munich, Germany)

  • Walter T. de Vries

    (Chair of Land Management, Department of Aerospace and Geodesy, Technical University of Munich, 80333 Munich, Germany)

Abstract

Environmental impact assessment (EIA) is a key tool for both environmental and land management. It identifies potential adverse and unintended consequences of the projects on land use and the environment and derives possible mitigation measures to address these impacts. Calculating the volume and severity of impacts is complex and often relies on selections and simplifications. Moreover, calculating impacts associated with nomadic-pastoral (dynamic) land use is still an unresolved methodological problem. A full understanding of the patterns of dynamic land use in nomadic pastoralism is still lacking. Consequently, EIAs are currently able to predict the negative impacts associated with dynamic land use insufficiently. This article addresses this lacuna by modeling the spatial occupation of grazing land using a statistical modeling technique of structural equation modeling (SEM) and the R package lavaan for SEM, in order to explain the behavior of dynamic land use for EIA. Based on the concepts of the production of space and pastoral spatiality, we specified and tested a model of spatial occupation of grazing areas hypothesizing interrelationships between factors influencing the pastoral space using empirical data from two different ecological zones in Mongolia. The findings suggest that grazing areas, herd mobility, and herd size and composition have direct positive effects on each other. Compared to broad-scale pastoral movements, the herd size and composition significantly affect the size of grazing areas and the extent of fine-scale herding mobility. Herders occupy more pastoral space and increase their daily herding movements at their campsites when the population of livestock increases. By contrast, the herd size and composition do not considerably affect the herders’ decision to migrate for extensive grazing between their seasonal campsites. Likewise, the scale of grazing areas and fine-scale pastoral mobility do not affect significantly the broad-scale herding mobility between campsites. The broad-scale herding mobility is relatively independent of the fine-scale mobility; however, they covary. This is the first study to analyze and quantify the effects of grazing areas, herding mobility, and herd size and composition in the same study. EIA impact prediction should consider grazing areas as a dynamic space that is influenced by grazing orbits, fine and broad-scale herding movements including otor , livestock species, the number of animals as well as households at campsites.

Suggested Citation

  • Bayarmaa Byambaa & Walter T. de Vries, 2021. "The Production of Pastoral Space: Modeling Spatial Occupation of Grazing Land for Environmental Impact Assessment Using Structural Equation Modeling," Land, MDPI, vol. 10(2), pages 1-18, February.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:2:p:211-:d:502530
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    References listed on IDEAS

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    1. Korbinian P. Freier & Manfred Finckh & Uwe A. Schneider, 2014. "Adaptation to New Climate by an Old Strategy? Modeling Sedentary and Mobile Pastoralism in Semi-Arid Morocco," Land, MDPI, vol. 3(3), pages 1-24, July.
    2. Senda, Trinity S. & Robinson, Lance W. & Gachene, Charles K.K. & Kironchi, Geoffrey & Doyo, Jaldesa, 2020. "An assessment of the implications of alternative scales of communal land tenure formalization in pastoral systems," Land Use Policy, Elsevier, vol. 94(C).
    3. Chuan Liao, 2018. "Modeling Herding Decision Making in the Extensive Grazing System in Southern Ethiopia," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(1), pages 260-276, January.
    4. Guo, Shan & Jiang, Li & Shen, Geoffrey Q.P., 2019. "Embodied pasture land use change in China 2000-2015: From the perspective of globalization," Land Use Policy, Elsevier, vol. 82(C), pages 476-485.
    5. Liu, Min & Dries, Liesbeth & Huang, Jikun & Min, Shi & Tang, Jianjun, 2019. "The impacts of the eco-environmental policy on grassland degradation and livestock production in Inner Mongolia, China: An empirical analysis based on the simultaneous equation model," Land Use Policy, Elsevier, vol. 88(C).
    6. Kuemmerle, Tobias & Erb, Karlheinz & Meyfroidt, Patrick & Müller, Daniel & Verburg, Peter H & Estel, Stephan & Haberl, Helmut & Hostert, Patrick & Jepsen, Martin R. & Kastner, Thomas & Levers, Christi, 2013. "Challenges and opportunities in mapping land use intensity globally," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(5), pages 484-493.
    7. Batunacun, & Wieland, Ralf & Lakes, Tobia & Yunfeng, Hu & Nendel, Claas, 2019. "Identifying drivers of land degradation in Xilingol, China, between 1975 and 2015," Land Use Policy, Elsevier, vol. 83(C), pages 543-559.
    8. Ningchuan Xiao & Shanshan Cai & Mark Moritz & Rebecca Garabed & Laura W Pomeroy, 2015. "Spatial and Temporal Characteristics of Pastoral Mobility in the Far North Region, Cameroon: Data Analysis and Modeling," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-30, July.
    9. Tsang, Eric W. K., 2014. "Old and New," Management and Organization Review, Cambridge University Press, vol. 10(03), pages 390-390, November.
    10. Nathan F. Sayre & Diana K. Davis & Brandon Bestelmeyer & Jeb C. Williamson, 2017. "Rangelands: Where Anthromes Meet Their Limits," Land, MDPI, vol. 6(2), pages 1-11, May.
    11. Xu, Yecheng & Zhang, Yaoqi & Chen, Jiquan & John, Ranjeet, 2019. "Livestock dynamics under changing economy and climate in Mongolia," Land Use Policy, Elsevier, vol. 88(C).
    12. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    13. Erb, Karl-Heinz & Haberl, Helmut & Jepsen, Martin Rudbeck & Kuemmerle, Tobias & Lindner, Marcus & Müller, Daniel & Verburg, Peter H & Reenberg, Anette, 2013. "A conceptual framework for analysing and measuring land-use intensity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(5), pages 464-470.
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