The application of minimum cumulative resistance model in the evaluation of urban ecological land use efficiency

  • Wuyi Jiang
  • Yongli CaiEmail author
  • Jingjing Tian
GMGDA 2019
Part of the following topical collections:
  1. Geological Modeling and Geospatial Data Analysis


The evaluation of ecological land use efficiency emphasized the protection of regional ecosystem structure and function and enhanced the ecological environment supporting capacity of social and economic development. Thus, the minimum cumulative resistance model (MCR) was adopted to simulate the spatial expansion process of important ecological land by taking important ecological land as the “source” and the land cover type, distance from the road, and distance from the residential area as the “resistance factors” to generate the resistance surface. It was proved through analysis that the method had strong operability, and its further promotion and application in the field of urban efficiency evaluation needed continuous research and improvement of scholars. The results showed that the total area of important ecological land was 9879 km2, accounting for about 60% of the total urban area; the suitable scale of ecological land was 12,417 km2, accounting for about 76% of the total urban area.


Ecological land Minimum cumulative resistance model (MCR) Land use efficiency assessment 


  1. Binar T, Švarc J, Vyroubal P, Kazda T, Rolc S, Dvořák A et al (2018) The use of numerical simulation for the evaluation of special transparent glass resistance. Eng Fail Anal 91:433–448CrossRefGoogle Scholar
  2. Chen X, Peng J, Liu Y, Yang Y, Guicai LI (2017) Constructing ecological security patterns in Yunfu city based on the framework of importance-sensitivity-connectivity. Geogr Res 36(3):471–484Google Scholar
  3. Colella P, Pons E, Tommasini R, Silvestre MLD, Sanseverino ER, & Zizzo G (2019) Fall of potential measurement of the earth resistance in urban environments: accuracy evaluation. IEEE Transactions on Industry Applications, PP(99), 1-1Google Scholar
  4. Evans CC, Moorhead AR, Storey BE, Blagburn BL, Wolstenholme AJ, Kaplan RM (2017) Evaluation of the larval migration inhibition assay for detecting macrocyclic lactone resistance in Dirofilaria immitis. Vet Parasitol 246:76CrossRefGoogle Scholar
  5. Gill VC, Lynch T, Ramazani S, Krentz HB (2017) Reporting on the prevalence of antiretroviral drug resistance in a regional HIV population over 20 years: a word of caution. Antivir Ther 22(4):277–286CrossRefGoogle Scholar
  6. Grace RC (2018) Preference, resistance to change, and the cumulative decision model. J Exp Anal Behav 109(1):33–47CrossRefGoogle Scholar
  7. Gu F, Huang YX, Chen CM, Cheng DL, & Guo JL (2017) Construction and optimization of ecological network for nature reserves in Fujian Province, China. Chin J Appl Ecol, 1013-1020Google Scholar
  8. Hammami F, Uzer E (2017) Heritage and resistance: irregularities, temporalities, and cumulative impact. Int J Herit Stud 24(2):1–20Google Scholar
  9. Jian Z, Fengrong Z, Yan XU, Yang G, Zhen X (2017) Evaluation of land reclamation and implications of ecological restoration for agro-pastoral ecotone: a case study of Horqin left back banner in China. Geographical sciences of China (English edition) 27(5)Google Scholar
  10. Junqueira VS, Cardoso FF, Oliveira MM, Sollero BP, Silva FF, Lopes PS (2017) Use of molecular markers to improve relationship information in the genetic evaluation of beef cattle tick resistance under pedigree-based models. J Anim Breed Genet 134(1):14CrossRefGoogle Scholar
  11. Kabadi UM (2017) Major pathophysiology in prediabetes and type 2 diabetes: decreased insulin in lean and insulin resistance in obese. J Endocrine Soc 1(6):742–750CrossRefGoogle Scholar
  12. Liu H, Tao Z, & Kang C (2017) Evaluation of cavitation erosion resistance of copper alloy in different liquid media. Materials&Corrosion Google Scholar
  13. Peng J, Huilei LI, Liu Y, Yina HU, Yang Y (2018a) Identification and optimization of ecological security pattern in Xiong’an new area. Acta Geograph SinGoogle Scholar
  14. Peng, K., Kang, C., Li, G., Matsuda, K., & Soyama, H. (2018b). Effect of heat treatment on the cavitation erosion resistance of stainless steel. Materials&Corrosion, 69(4), 536–544Google Scholar
  15. Qiang YU, Liu Z, Yue D, Zhang Q, Niu T, & Kai SU (2018) Multi-scenario simulation of ecological networks in Dengkou county. Transactions of the Chinese Society for Agricultural Machinery Google Scholar
  16. Ter Maaten JM, Rao VS, Hanberg JS, Perry WF, Bellumkonda L, Assefa M et al (2017) Renal tubular resistance is the primary driver for loop diuretic resistance in acute heart failure. Eur J Heart Fail 19(8)CrossRefGoogle Scholar
  17. Venturini C, Ginn AN, Wilson BE, Tsafnat G, Paulsen I, Partridge SR, Iredell JR (2018) Ecological effects of cefepime use during antibiotic cycling on the gram-negative enteric flora of ICU patients. Intensive Care Med Exp 6(1):19CrossRefGoogle Scholar
  18. Wang Y, Cheng HE, Liu R, Hongbin WU, Cheng X (2017) Construction of the landscape ecological security pattern for the conservation of birds at Shapotou National Nature Reserve. Ningxia, Acta Ecologica SinicaGoogle Scholar
  19. Wen B, Zhu G, Xia M, Zhang K, Liu Y, Wang W (2017) Ecological land classification protection based on the landscape security pattern in Yixing city. Acta Ecol Sin 37(11)Google Scholar
  20. Wolstenholme AJ, Moorhead AR, Storey BE, Jones C, Benbow C, Maclean MJ et al (2017) Does an evaluation of in vitro microfilarial motility reflect the resistance status of Dirofilaria immitis isolates to macrocyclic lactones? Parasit Vectors 10(Suppl 2):480Google Scholar
  21. Yochum, S. E., Sholtes, J. S., Scott, J. A., & Bledsoe, B. P. (2017). Stream power framework for predicting geomorphic change: the 2013 Colorado front range flood. Geomorphology, 292, S0169555X16310078Google Scholar
  22. Yueyue DU, Yina HU, Yang Y, Peng J (2017) Building ecological security patterns in southwestern mountainous areas based on ecological importance and ecological sensitivity: a case study of Dali bai autonomous prefecture, Yunnan Province. Acta Ecol Sin 37(24)Google Scholar
  23. Zaady E, Katra I, Barkai D, Knoll Y, Sarig S (2017) The coupling effects of using coal fly-ash and bio-inoculant for rehabilitation of disturbed biocrusts in active sand dunes. Land Degrad Dev 28(4):1228–1236CrossRefGoogle Scholar
  24. Zhao, X. N., Gong, X., Tian, F. H., Ming-Yu, L. I., Geography, D. O., & University, Y. (2017). The urban land ecological suitability evaluation of Yanji-Longjing-Tumen region. Journal of Natural ResourcesGoogle Scholar
  25. Zhu L, Chu X, Sun T, Ye J, Wu X (2018) Micropropagation of Pinus densiflora and the evaluation of nematode resistance of regenerated microshoots in vitro. J For Res 2:1–10Google Scholar

Copyright information

© Saudi Society for Geosciences 2019

Authors and Affiliations

  1. 1.College of Ecology and Environmental SciencesEast China Normal UniversityShanghaiChina
  2. 2.Shanghai Jiaotong University Planning and Architectural Design Co., Ltd.ShanghaiChina

Personalised recommendations