Modelling the location and spatial pattern of a crop boom. A case study from Laos

Christine Ornetsmüller*, Jean Christophe Castella, Puwadej Thanichanon, Guillaume Lestrelin, Peter H. Verburg

*Corresponding author for this work

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Abstract

Crop booms are phenomena of global environmental change that keep on occurring around the globe and frequently exploit or degrade the local socio-ecological resources (resulting in e.g. loss of biodiversity, soil erosion, indebtedness). While causal mechanisms were identified and summarized in several frameworks, the causal effects of the identified factors remained largely unknown. In this study, we set up a new application of a spatial land system model to examine the causes for the clustered spatial pattern of the maize boom between 2000 and 2016 in Sayaboury Province, Laos. The factors tested included market access (travel time to trader companies), land productivity and total net revenue (proxy for profitability), spatial differences in farm gate price of maize, slope, and soil types. While crop booms are commonly associated with high commodity prices and improved market accessibility, our simulation results suggested that the combination of the geographic and economic factors we tested partially contribute to explain the location and spatial extent of the maize boom, but a full explanation has not been found. Interestingly though, temporal dynamics, such as increases in land productivity and profitability had the largest effect on model performance regarding the size of the maize boom area (experiment 2). Productivity and profitability increased thanks to political economic support for the introduction of a series of techniques (i.e. hybrid maize cultivars, herbicides, mechanical tillage and sowing)that made maize mono-cropping disproportionally competitive over other land management. We outline implications of our findings for governance bodies that are faced with crop booms.

Original languageEnglish
Pages (from-to)58-71
Number of pages14
JournalEnvironmental Science and Policy
Volume99
Early online date31 May 2019
DOIs
Publication statusPublished - Sept 2019

Funding

Financial support for the research reported in this article was provided by the European Union’s Seventh Framework Programme ERC Grant Agreement nr. 311819 – GLOLAND. In addition, support was provided by the Global Climate Change Alliance (EFICAS Project) and the Agence Française de Développement (AFD) was also granted under the NUDP-CA Project. We would like to acknowledge the Centre for Development and Environment (CDE), Bern, Switzerland for provision of data. Appendix A

FundersFunder number
NUDP-CA
Seventh Framework Programme311819
Seventh Framework Programme
Agence Française de Développement

    Keywords

    • causal effects
    • commodity booms
    • deforestation
    • land use modelling
    • Laos
    • shifting cultivation

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