Agent-based modelling of shifting cultivation field patterns, Vietnam
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Agent-based modelling of shifting cultivation field patterns, Vietnam. / Jepsen, Martin Rudbeck; Leisz, S.; Rasmussen, K.; Jakobsen, J.; Møller-Jensen, Lasse; Christiansen, L.
In: International Journal of Geographical Information Science, Vol. 20, No. 9, 2006, p. 1067-1085.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Agent-based modelling of shifting cultivation field patterns, Vietnam
AU - Jepsen, Martin Rudbeck
AU - Leisz, S.
AU - Rasmussen, K.
AU - Jakobsen, J.
AU - Møller-Jensen, Lasse
AU - Christiansen, L.
PY - 2006
Y1 - 2006
N2 - Shifting cultivation in the Nghe An Province of Vietnam's Northern Mountain Region produces a characteristic land-cover pattern of small and larger fields. The pattern is the result of farmers cultivating either individually or in spatially clustered groups. Using spatially explicit agent-based modelling, and relying on empirical data from fieldwork and observations for parameterization of variables, the level of clustering in agricultural fields observed around a study village is reproduced. Agents in the model act to maximize labour productivity, which is based on potential yield and labour costs associated with fencing of fields, and are faced with physical constraints. The simulation results are compared with land-cover data obtained from remote sensing. Comparisons are made on patterns as detected visually and using the mean nearest-neighbour ratio. Baseline simulation outputs show high degrees of spatial clustering and similarity to the land-cover data, but also a need for further calibration of model variables and controls
AB - Shifting cultivation in the Nghe An Province of Vietnam's Northern Mountain Region produces a characteristic land-cover pattern of small and larger fields. The pattern is the result of farmers cultivating either individually or in spatially clustered groups. Using spatially explicit agent-based modelling, and relying on empirical data from fieldwork and observations for parameterization of variables, the level of clustering in agricultural fields observed around a study village is reproduced. Agents in the model act to maximize labour productivity, which is based on potential yield and labour costs associated with fencing of fields, and are faced with physical constraints. The simulation results are compared with land-cover data obtained from remote sensing. Comparisons are made on patterns as detected visually and using the mean nearest-neighbour ratio. Baseline simulation outputs show high degrees of spatial clustering and similarity to the land-cover data, but also a need for further calibration of model variables and controls
KW - COSTS
KW - CULTIVATION
KW - FARMERS
KW - labour
KW - land cover
KW - MODEL
KW - modelling
KW - PATTERN
KW - PATTERNS
KW - PRODUCTIVITY
KW - REGION
KW - remote sensing
KW - shifting cultivation
KW - simulation
KW - spatially explicit
KW - YIELD
M3 - Journal article
VL - 20
SP - 1067
EP - 1085
JO - International Journal of Geographical Information Science
JF - International Journal of Geographical Information Science
SN - 1365-8816
IS - 9
ER -
ID: 1100505