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Evaluation of land suitability for Cunninghamia konishii Hayata (Cupressaceae) planting in Vietnam

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The suitability of land for C. konishii was evaluated using the analytic hierarchy process (AHP) method, which included multiple criteria, such as elevation, soil, climate, and vegetation characteristics. 120 different sites of C. konishii were studied and the model approximations were verified by a confusion matrix. The subsistence of C. konishii was mainly affected by topographic features (elevation, slope) and soil (soil texture) conditions. 15 variables were selected for the ecological analysis and construction of the land suitability map. They were combined into four main groups for weights approximation. The weights obtained by AHP were calculated as follows: topographic features (65%), soil (21.3%), climate conditions (7.4%), and vegetation type (6.3%). The total area with the highest suitability was estimated at 4, 6, 2 and 8% of the province area in Son La, Ha Giang, Thanh Hoa, Nghe An, respectively. The suitable areas for planting were located in Mai Son, Muong La, Moc Chau, Sop Cop districts of Son La province; Hoang Su Phi, Xin Man districts of Ha Giang province; Muong Lat district of Thanh Hoa province; Que Phong, Ky Son, Tuong Duong, Con Cuong districts of Nghe An province. Nghe An province has the largest suitable area for planting. The estimated AHP accuracy was 91.6%, which indicates that the approach is reliable for forestry management. The current study will provide a ground to the local population for the selection of suitable lands, ensuring the sustainability of natural resources, sustainable use and quality forest production.

About the Authors

Mai Phuong Pham
Institute of Tropical Ecology, Vietnam - Russia Tropical Centre
Viet Nam


Dinh Duy Vu
Institute of Tropical Ecology, Vietnam - Russia Tropical Centre
Viet Nam


Syed Noor Muhammad Shah
Gomal University Dera Ismail Khan

Department of Horticulture, Faculty of Agriculture

Quoc Khanh Nguyen
Institute of Tropical Ecology, Vietnam - Russia Tropical Centre
Viet Nam


Thanh Tuan Nguyen
Vietnam Forestry University
Viet Nam

Department of Forest Inventory and Planning, Faculty of Silviculture

Dong nai Campus

Hanh Tong Thi
Le Quy Don Technical University
Viet Nam

Bac Tu Liem district

Ha Noi

Van Sinh Nguyen
Pu Hoat Nature Reserve
Viet Nam

Que Phong district

Nghe An


1. Adeyoju S.K. (1983). Striking a balance in land-use planning. Unasylva, 35, 24-27.

2. Ahmad F., Goparaju L., Qayum A. (2017a). FAO guidelines and geospatial application for agroforestry suitability mapping. Case study of Ranchi, Jharkhand state of India. Agroforestry Systems, DOI: 10.1007/s10457-017-0145-y.

3. Ahmad F., Goparaju L., Qayum A. (2017b). Agroforestry suitability analysis based upon nutrient availability mapping. A GIS based suitability mapping. AIMS Agriculture and Food, 2(2). 201-220, DOI: 10.3934/agrfood.2017.2.201.

4. Averyanov L.V., Hiep N.T., Sinh K.N., Pham T.V., Lamxay V., Bounphanmy S., Lorphengsy S., Loc P.K., Lanorsavanh S., Chantthavongsa K. (2014). Gymnosperms of Laos. Nordic Journal of Botany, 32, 756-805.

5. Bigras F.J. and Colombo S.J. (2001). Conifer Cold Hardiness. Kluwer Academic Publishers. The Netherlands, 16-19.

6. Bozdag A., Yavuz F., GQnay A.S. (2016). AHP and GIS based land suitability analysis for Cihanbeyli (Turkey) County. Environmental Earth Sciences, 75(9), 813.

7. Cabrera J.S., Lee H.S. (2020). Flood risk assessment for Davao Oriental in the Philippines using geographic information system-based multi-criteria analysis and the maximum entropy model. Journal of Flood Risk Management, e12607.

8. Cheng S.S., Chung M.J., Lin C.Y., Wang Y.N., Chang S.T. (2012). Phytochemicals from Cunninghamia konishii Hayata act as antifungal agents. Journal of agricultural and food chemistry, 60(1), 124-128.

9. Chung J.D., Lin T.P, Tan Y.C., Lin M.Y., Hwang S.Y. (2004). Genetic diversity and biogeography of Cunninghamia konishii (Cupressaceae), an island species in Taiwan. A comparison with Cunninghamia lanceolata, a mainland species in China. Molecular Phylogenetics and Evolution, 33(3), 791-801.

10. Dayawansa N.D.K., Ekanayake G.K. (2003). Land suitability identification for a production forest through GIS techniques. Forestry and Biodiversity, Map India Conference, India.

11. Dengiz O., Gol C., Sario Lu F.E., Edi S. (2010). Parametric approach to land evaluation for forest plantation. A methodological study using GIS model. African Journal of Agricultural Research, 5(12), 1482-1496.

12. Decree No. 06/2019/ND-CP (2019). Management of endangered, precious and rare species of forest fauna and flora and observation of Convention on International Trade in Endangered Species of Wild Fauna and Flora.

13. Draper D., Rossello-Graell A., Garcia C., Gomes C.T., Sergio C. (2003). Application of GIS in plant conservation programmes in Portugal. Biological Conservation, 113(3), 337-349.

14. FAO (1976). A framework for land evaluation. Soils Bulletin 32. Food and Agriculture Organization of the United Nations, Rome, Italy. ISBN 92-5-100111-1. Accessed November 10, 2017.

15. FAO (1984). Land evaluation for forestry, forestry paper 48. Rome, Italy. Food and Agriculture Organization of the United Nations.

16. Farjon A. (2010). A Handbook of the world's conifers, Brill Academic Publishers, Leiden, The Netherlands, 1112

17. Florence R.G., Carron L.T. (1983). Forest land use and environmental planning in Australia. Proc. Institute of Foresters of Australia 10th Triennial Conference, 16-21.

18. General Statistics Office of Vietnam (2019). Statistical Yearbook. Statistical publisher.

19. Gholizadeh A., Bagherzadeh, A., Keshavarzi A. (2019). Model application in evaluating land suitability for OAK and PINE forest plantations in Northeast of Iran. Geology, Ecology, and Landscapes, 1-15.

20. Hayata B. (1908). The Gardeners' Chronicle, ser. 3, 43, 194.

21. Hansen M.C., Potapov P.V., Moore R., Hancher M., Turubanova S.A., Tyukavina A., Thau D., Stehman S.V., Goetz S.J., Loveland T.R., Kommareddy A., Egorov A., Chini L., Justice C.O., and Townshend J.R.G. (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change, Science 342, 850-53.

22. Huynh V.C. (2009). Multi-criteria soil suitability assessment for crops with GIS and AHP integrated. A case study in Huong Binh commune, Thua Thien Hue. Hue University Journal of Science, 50, 5-16.

23. IUCN 2020 (2020). The IUCN red list of threatened species,

24. Joyce PM. (1981). Forest management and land use planning. Proceedings of the 17th IUFRO World Congres, Japanese IUFRO Congress Committe, Ibaraki, Division 4, 363-374.

25. Kooch Y., Najafi A. (2011). Ecological potential assessment of forest groups using fuzzy set theory and regression analysis of soil characteristics (case study. Khanikan Forest, Chalus, north of Iran). Journal of Wood & Forest Science and Technology, 18(1).

26. Lai V., Wong B.K., Cheung W. (2002). Group decision making in a multiple criteria environment; a case using the AHP in the software selection. Eur. J. Oper. Res, 137(1), 134-144.

27. Li R.Y.M., Chau K.W., Zeng F.F. (2019). Ranking of risks for existing and new building works. Sustainability, 11(10), 2863.

28. Li H.L., Keng H. (1994). Taxodiaceae - In Flora of Taiwan, 2nd ed., Taiwan. 1.582-585.

29. Liang W.Y. (2010). The cutting propagation technique and afforestation experiment of Cunninghamia konishii. Subtropical Agriculture Research, 6(4), 217-221.

30. Liu Y., Lv X., Qin X., Guo H., Yu Y., Wang J., Mao G. (2007). An integrated GIS-based analysis system for land-use management of lake areas in urban fringe. Landsc. Urban Plan, 82. 233-246.

31. Lu S.Y., Chiang T.Y., Hong K.H., Hu T.W. (1999). Re-examination of the taxonomic status of Cunninghamia konishii and C. lanceolata based on the RFLPs of a chloroplast trnD-trnT spacer. Taiwan Journal of Forest Science, 14, 13-19

32. Lu S.Y., Peng C.I., Cheng Y.P., Hong K.H., Chiang T.Y. (2001). Chloroplast DNA phylogeography of Cunninghamia konishii (Cupressaceae), an endemic conifer of Taiwan, Genome, 44, 797-807.

33. Lubka L. (1982). Role of the forester in land use planning. J. For., 80, 597-601.

34. Maleki F., Kazemi H., Siahmarguee A., Kamkar B. (2017). Development of a land use suitability model for saffron (Crocus sativus L.) cultivation by multi-criteria evaluation and spatial analysis. Ecological Engineering, 106, 140-153.

35. Malczewski J. (1999). GIS and multicriteria decision analysis. New York. Wiley.

36. Nguyen T.H., Phan K.L., Nguyen T.D.L., Thomas P.I., Farjon A., Averyanov L., Regalado J. (2004). Vietnamese conifers. Current status and conservation studies, Fauna & Flora International, 55-56.

37. Nga N.T.T., Dung N.A., Chung N.T., Thai T.H., Hung N.D. (2016). The distribution and some ecological characteristics, and essential oil of Cunninghamia konishii Hayata in Pu Hoat nature reserve, Nghe An province, Vietnam. Engineering and Applied Science Research, 43, 121124.

38. Olarieta J.R., Besga G., Rodriguez-Ochoa R., Aizpurua A., Uson A. (2006). Land evaluation for forestry. a study of the land requirements for growing Pinus radiata D. Don in the Basque Country, northern Spain. Soil use and management, 22(3), 238-244.

39. Olson D.M., Dinerstein E., Wikramanayake E.D., Burgess N.D., Powell G.V.N., Underwood E.C., DAmico J.A., Itoua I., Strand H.E., Morrison J.C., Loucks C.J., Allnutt T.F., Ricketts T.H., Kura Y., Lamoreux J.F., Wettengel W.W., Hedao P., Kassem K.R. (2001). Terrestrial ecoregions of the world: a new map of life on Earth. Bioscience 51(11), 933-938.

40. Perpina C., Martinez-Llario J.C., Navarro A. (2013). Multi-criteria assessment in GIS environments for sitting biomass plants. Land Use Policy, 31,326-335.

41. Phan K.L., Pham V.T., Phan K.L., Regalado J., Averyanov L.V., Maslin B. (2017). Native conifers of Vietnam - a review, Pak. J. Bot, 49(5), 20372068.

42. Phan K.L., Pham V.T., Nguyen S.K., Averyanov L.V. (2013). Conifers naturally growing in Vietnam - Updated 2013. Journal of Economy & Ecology, 45, 33-45.

43. Romanya J., Vallejo V.R. (2004). Productivity of Pinus radiata plantations in Spain in response to climate and soil. Forest Ecology and Management, 195(1-2), 177-189.

44. Saaty T.L. (1980). The analytical hierarchy process. McGraw Hill, New York

45. Saaty T.L. (2000). Fundamentals of decision making and priority theory with the analytic hierarchy process. RWS Publications, Pittsburg.

46. Singh K.K., Singh A. (2017). Identification of flooded area from satellite images using hybrid Kohonen fuzzy C-means sigma classifier. Egyptian Journal of Remote Sensing and Space Sciences, 20. 147-155, DOI: 10.1016/J.EJRS.2016.04.003.

47. Thai T.H., Bazzali O., Hoi T.M., Minh D.T., Loc P.K., Nga N.T.T., Bighelli A. (2015). Chemical composition of the essential oil from Cunninghamia konishii Hayata growing wild in Vietnam. American Journal of Essential Oils and Natural Products, 2(3), 01-05.

48. Thomas P., Yang Y. (2013). Cunninghamia konishii. The IUCN Red List of Threatened Species.

49. Book V.R.D. (2007). Part II-Plants. Natural Science and Technology Publishing House, 133.

For citation:

Pham M., Vu D., Shah S., Nguyen Q., Nguyen T., Thi H., Nguyen V. Evaluation of land suitability for Cunninghamia konishii Hayata (Cupressaceae) planting in Vietnam. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2021;14(2):63-73.

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