Received: 04-06-2021
Accepted: 06-07-2021
DOI:
Views
Downloads
How to Cite:
Simulation ofChanges inAgricultural Land use in the Coastal Area of Nam Dinh Province using the CLUMondo Model
Keywords
Land use change, CLUMondo model, GIS, land use simulation, coastal area, Nam Dinh
Abstract
This study applied the CLUMondo model to predict agricultural land-use changes to 2030 in the coastal area of Nam Dinh province. The predictions weredonebased on the correlations between the probability of changesrelated to each land use typeand its location suitability factors. Model outputs were validated by ROC statistic and Kappa coefficient.Results showedthatchanges inagricultural land use in 2030followed scenario 1 (baseline) with a decrease in rice areabut increase in the aquaculture area. The trend was similar in scenario 2 (as the land use planning) but the rice area was more decreased. In addition, in both scenarios, there was an increase in annual and perennial crops. Under the assumption of scenario 2, freshwater aquaculture tendedto continue expanding to paddies, while a portion of brackish water aquaculture wasconverted to forest land. Therefore, when implementing land use planning, it is necessary to prepare solutions for trading-off between staple food and aquaculture to ensure food security and sustainable development for local communities.
References
Arunyawat S. & Shrestha R.P. (2018). Simulating future land use and ecosystem services in Northern Thailand. Journal of Land Use Science.13(1-2): 146-165. Doi:10.1080/1747423X.2018.1496157.
Beck J.R. & Shultz E. (1986). The use of relative operating characteristic (ROC) curves in test performance evaluation. Arch Pathol Lab Med. 110: 13-20. ISSN: 0003-9985.
Bousquet F. & Le Page C. (2004). Multi-agent simulations and ecosystem management: a review. Ecological Modelling.176(3): 313-332. https://doi.org/10.1016/j.ecolmodel.2004.01.011.
Couclelis H. (2005). “Where has the Future Gone?” Rethinking the Role of Integrated Land-Use Models in Spatial Planning. Environment and Planning A: Economy and Space.37(8): 1353-1371. Doi:10.1068/a3785.
Fawcett T. (2004). ROC Graphs: Notes and Practical Considerations for Researchers. Palo Alto.
Jensen J.R. & Lulla K. (1987). Introductory digital image processing: A remote sensing perspective. Geocarto International.2(1): 65-65. Doi:10.1080/10106048709354084.
Jensen R.J. (1995). Introductory Digital Image Processing -A remote sensing perspective.Prentice Hall. New Jersey.
Landis J.R. & Koch G.G. (1977). The measurement of observer agreement for categorical data. Biometrics.33(1): 159-74.
Nguyễn Thị Phương Hoa, Ngô Thế Ân & Lê Thị Giang (2020a). Các yếu tố ảnh hưởng đến biến động sử dụng đất nông nghiệp vùng ven biển tỉnh Nam Định. Tạp chí Khoa học Đất.60: 82-87.
Nguyễn Thị Phương Hoa, Ngô Thế Ân & Lê Thị Giang (2020b). Xác định biến động sử dụng đất nông nghiệp vùng ven biển tỉnh Nam Định giai đoạn 2005 - 2019 bằng công nghệ viễn thám và GIS. Tạp chí Khoa học Đất.58: 110-116.
Ornetsmüller C., Verburg P.H. & Heinimann A. (2016). Scenarios of land system change in the Lao PDR: Transitions in response to alternative demands on goods and services provided by the land. Applied Geography.75: 1-11. https://doi.org/10.1016/j.apgeog.2016.07.010.
UBND tỉnh Nam Định (2020). Quyết định 1730/QĐ-UBND tỉnh Nam Định về việc phê duyệt Quy hoạch xây dựng vùng huyện Giao Thủy, Hải Hậu, Nghĩa Hưng đến năm 2030, tầm nhìn 2050.
van Asselen S. & Verburg P.H. (2013). Land cover change or land-use intensification: simulating land system change with a global-scale land change model. Global Change Biology.19: 3648. Doi:10.1111/gcb.12331.
Verburg P.H., Overmars K.P., Huigen M.G.A., de Groot W.T. & Veldkamp A. (2006). Analysis of the effects of land use change on protected areas in the Philippines. Applied Geography.26(2): 153-173. https://doi.org/10.1016/j.apgeog.2005.11.005.
Verburg P.H. & Veldkamp A. (2004). Projecting land use transitions at forest fringes in the Philippines at two spatial scales. Landscape Ecology.19(1): 77-98. Doi:10.1023/B:LAND.0000018370.57457.58.