TY - JOUR
T1 - A Modeling Approach for Farmland Protection Zoning Considering Spatial Heterogeneity
T2 - A Case Study of E-Zhou City, China
AU - He, Jianhua
AU - Guan, Xiaodong
AU - Yu, Yan
N1 - Publisher Copyright:
© 2016 by the authors; licensee MDPI, Basel, Switzerland
PY - 2016/10/19
Y1 - 2016/10/19
N2 - Farmland protection in China is facing multiple pressures, including urbanization, population growth and ecological degradation. Primary farmland zoning was introduced as a basic state policy to ensure national food security. Previous studies about "primary farmland zoning" have always taken the factors as global linear variables, neglecting the spatial heterogeneity of the study areas. Based on the Development Priority Zoning (DPZ) strategy, we present a zoning approach using Bayesian networks (BNs) for considering regional differences. The networks were developed using quantitative biophysical and economic variables from multi-scale and historical change data of farmland. The simulated results substantiate that this method can ensure the agricultural quality, stability and connectivity of primary farmland. Furthermore, it can further optimize the spatial allocation of primary farmland to meet the development conditions and trends of different sub-regions, promoting the balance between the farmland protection, urban development and ecological protection of certain regions.
AB - Farmland protection in China is facing multiple pressures, including urbanization, population growth and ecological degradation. Primary farmland zoning was introduced as a basic state policy to ensure national food security. Previous studies about "primary farmland zoning" have always taken the factors as global linear variables, neglecting the spatial heterogeneity of the study areas. Based on the Development Priority Zoning (DPZ) strategy, we present a zoning approach using Bayesian networks (BNs) for considering regional differences. The networks were developed using quantitative biophysical and economic variables from multi-scale and historical change data of farmland. The simulated results substantiate that this method can ensure the agricultural quality, stability and connectivity of primary farmland. Furthermore, it can further optimize the spatial allocation of primary farmland to meet the development conditions and trends of different sub-regions, promoting the balance between the farmland protection, urban development and ecological protection of certain regions.
KW - Bayesian network
KW - China
KW - Farmland preservation zoning
KW - Land use change
KW - Multi-scale
KW - Spatial heterogeneity
UR - http://www.scopus.com/inward/record.url?scp=84994853533&partnerID=8YFLogxK
U2 - 10.3390/su8101052
DO - 10.3390/su8101052
M3 - Journal article
AN - SCOPUS:84994853533
SN - 2071-1050
VL - 8
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 10
M1 - 1052
ER -
