Exploring resources and environmental carrying capacities at the county level: A case study of China’s Fengxian County


Autoři: Luyao Wei aff001;  Cheng Jin aff001;  Yuqi Lu aff001
Působiště autorů: School of Geographical Science, Nanjing Normal University, Nanjing, Jiangsu, China aff001;  Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, Jiangsu, China aff002;  Key Laboratory of Virtual Geographic Environment Ministry of Education in Nanjing Normal University, Nanjing, Jiangsu, China aff003
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article
doi: 10.1371/journal.pone.0225683

Souhrn

The data regarding resources and environmental carrying capacities (RECC) are not only the basis for realizing regional sustainable development, but also the core links for major function-oriented zoning practices, which include specific partitioning schemes of spatial units with various geographical functions. Previously, relevant studies were mainly based on the evaluations of single factors. However, the realization of regional function-oriented spatial zoning practices based on comprehensive assessments of RECC has been neglected. This study presented an evaluation index system for RECC based on nine aspects, in accordance with the evaluation elements of the major function-oriented zoning programs which were in place and the characteristics of the study area. Then, by using subjective and objective comprehensive weighting methods, the basic elements were finally integrated, and an accurate spatial distribution pattern of the RECC in China’s Fengxian County was obtained. In addition, based on the construction of a three-dimensional spatial conceptual model, this study was able to finally obtain four specific types of functional partitions in the study areas, and proposed specific development proposals according to the different types of functional zoning from a systemic perspective. It was observed that the RECC had been decreasing from a central built-up area to the surrounding townships, and the spatial distribution patterns were distinctly scattered. In addition, the townships with smaller land scales had more obvious advantages in the RECC. However, fluctuating upward trends were observed after the lowest thresholds had been reached as for the medium or above medium scales. At the same time, in terms of the correlations between the population levels, and gross values and the RECC, fluctuating characteristics were observed. The correlations with the latter had presented S-shape curves and inverted U-shape curves, respectively. Finally, the optimized expansion zone located in the north-central region had taken the greatest percentage among functional zoning classifications, followed by the basic competitive zone in the southwestern section. However, the main construction zone accounted for the smallest proportion, at only 2.065%. Therefore, based on these results, it was concluded that there were certain fluctuating correlations between the RECC and total population levels, economic levels, and land scales. Moreover, the RECC evaluation results were found to gradually decrease after rising to the thresholds under the comprehensive effects of the various factors. This study combined the data of the conceptual model with the RECC evaluation results, in order to obtain a potential geographical functional zoning program for the study area. The results of this study are expected to provide a new analysis perspective for the scientific and sustainable development of small-scale geographic units. Moreover, on the basis of this study’s comprehensive evaluations of the RECC, the directions of regional development can be further clarified.

Klíčová slova:

Carrying capacity – Economic development – Economics – Flooding – Land use – Rivers – Transportation – Water resources


Zdroje

1. Shaker RR, Sirodoev IG. Assessing sustainable development across Moldova using household and property composition indicators. Habitat International. 2016; 1–13. https://doi.org/10.1016/j.habitatint.2016.03.005

2. Yang B, Xu T, Shi LY. Analysis on sustainable urban development levels and trends in China’s cities. Journal of Cleaner Production. 2017; 141: 868–880. https://doi.org/10.1016/j.jclepro.2016.09.121

3. Pardo MC. Energy and sustainable development in cities: A case study of Bogota. Energy. 2015; 92: 612–621. https://doi.org/10.1016/j.energy.2015.02.003

4. Medved P. A contribution to the structural model of autonomous sustainable neighborhoods: new socio-economical basis for sustainable urban planning. Journal of Cleaner Production. 2016; 120: 21–30. https://doi.org/10.1016/j.jclepro.2016.01.091

5. Tao ZP. Eco-ucksack and eco-footprint. Beijing: Science Press. 2003.

6. Malthus TR. An essay on the principle of population. 1826. Translated by Zhou J, 2008. Beijing: Beijing Press.

7. Park RF, Burgess EW. An introduction to the science of sociology. Chicago: The University of Chicago Press. 1921.

8. Odum EP. Fundamentals of ecology. 1953, Philadelphia: Saunders WB.

9. Rees WE. Ecological footprints and appropriated carrying capacity: what urban economics leaves out. Environment & Urbanization. 1992; 4(2): 121–130. https://doi.org/10.1177/095624789200400212

10. Wackernagel M, Rees W. Our ecological footprint: reducing human impact on the earth. Gabriola Island, BC, Canada: New Society Publishers, 1998; 165.

11. Wang R, Cheng JH, Zhu YL, Xiong WW. Research on diversity of mineral resources carrying capacity in Chinese mining cities. Resources Policy. 2016; 47: 108–114. https://doi.org/10.1016/j.resourpol.2015.12.003

12. Yu L, Lu YY, Huang W, Xu YQ. The significance and general approaches of climatic carrying capacity assessment. Chinses Journal of Urban and Environmental Studies. 2016; 4(1): 1650004. https://doi.org/10.1142/S2345748116500056

13. Lu Y, Xu HW, Wang YX, Yang Y. Evaluation of water environmental carrying capacity of city in Huaihe River Basin based on the AHP method: A case study in Huai’an City. Water Resources and Industry. 2017; 18: 1–77. https://doi.org/1016/j.wri.2017.10.001

14. Han J. Carrying capacity of low carbon tourism environment in coastal areas from the perspective of ecological efficiency. Journal of Coastal Research. 2018; S1(83): 199–203. https://doi.org/10.2112/SI83-031

15. Lin L, Liu Y, Chen JN, Zhang TZ, Zeng SY. Comparative analysis of environmental carrying capacity of the Bohai Sea Rim area in China. Journal of Environmental Monitoring. 2011; 13: 3178. https://doi.org/10.1039/clem10510h

16. Liu HM. Comprehensive carrying capacity of the urban agglomeration in the Yangtze River Delta, China. Habitat International. 2012; 36(4): 462–470. https://doi.org/10.1016/j.habitatint.2012.05.003

17. Yang JB, Ding H. A quantitative assessment of sustainable development based on relative resource carrying capacity in Jiangsu Province of China. International Journal Environmental Research and Public Health. 2018; 15: 2786. https://doi.org/10.3390/ijerph15122786

18. Li KY, Jin XL, Ma DX, Jiang PH. Evaluation of resource and environmental carrying capacity of China’s rapid-urbanization areas-a case study of Xinbei District, Changzhou. Land. 2019; 8: 69. https://doi.org/10.3390/land8040069

19. Wang WQ, Sun YH, Wu J. Environmental warning system based on the DPSIR model: a practical and concise method for environmental assessment. Sustainability. 2018; 10: 1728. https://doi.org/10.3390/su10061728

20. Dong W, Zhang X, Chi TH. Index system and evaluation method of resources and environment carrying capacity in principal function area division at provincial level. Journal of Geo-Information Science. 2011; 13(2): https://doi.org/177-183.1560-8999(2011)13:2<177:WGSJZT>2.0.TX;2-T

21. Yang J, Wang YC, Xiao XM, Jin C, Xia JC, Li X. Spatial differentiation of urban wind and thermal environment in different grid sizes. Urban Climate. 2019; 28: 1–13. https://doi.org/10.1016/j.uclim.2019.100458

22. Fan J. Draft of major function oriented zoning of China. Acta Geographica Sinica. 2015; 70(2): 186–201. https://doi.org/10.11821/dlxb201502002

23. Fan J, Sun W, Zhou K, Chen D. Major function oriented zone: new method of spatial regulation for reshaping regional development pattern in China. Chinese Geographical Science. 2012; 22(2): 196–209. https://doi.org/10.1007/s11769-012-0528-y

24. Li YH, Fan Q, Wang X, Xi JC, Wang SY, Yang J. Spatial and temporal differentiation of ecological vulnerability under the frequency of natural hazard based on SRP model: a case study in Chaoyang County. Scientia Geographica Sinica. 2015; 35(11): 1452–1459. https://doi.org/1000-0690(2015)35:11<1452:JYSMXD>2.0.TX;2-U

25. Zhuang DF, Liu JY. Study on the model of regional differentiation of land use degree in China. Journal of Natural Resources. 1997; 12(2): 105–111.

26. Peng L, Dong B, Wang P, Sheng SW, Sun L, Fang L, et al. Research on ecological risk assessment in land use model of Shengjin Lake in Anhui province, China. Environmental Geochemistry and health. 2019; https://doi.org/10.1007/s10653-019-00322-6

27. Cheng JY, Zhou K, Cheng D, Fan J. Evaluation and analysis of provincial differences in resources and environment carrying capacity in China. Chinese Geographical Science. 2016; 26(4): 539–549. https://doi.org/10.1007/s11769-015-0794-6

28. Han ZL, Li B, Zhang KL. Evaluation and spatial analysis of the equalization of basic public service in urban and rural areas in China. Geographical research. 2015; 34(11): 2035–2048. https://doi.org/1000-0585(2015)34:11<2035:ZGCXJB>2.0.TX;2-1

29. Liu RZ, Borthwick Alistair GL. Measurement and assessment of carrying capacity of the environment in Ningbo, China. Journal of Environmental Management. 2011; 92(8): 2047–2053. https://doi.org/10.1016/j.jenvman.2011.03.033 21507560

30. Pei H, Fang SF, Lin L, Qin ZH, Wang XY. Methods and applications for ecological vulnerability evaluation in a hyper-arid oasis: A case study of the Turpan Oasis, China. Environmental Earth Sciences. 2015; 74(2): 1449–1461. https://doi.org/10.1007/s12665-015-4134-z

31. Jin J, Wang Q. Assessing ecological vulnerability in western China based on time-integrated NDVI data. Journal of Arid Land. 2016; 8(4): 533–545. https://doi.org/10.1007/s40333-016-0048-1

32. Guo B, Fan YW, Yang F, Jiang L, Yang WN.; Chen ST, et al. Quantitative assessment model of ecological vulnerability of the Silk Road Economic Belt, China, utilizing remote sensing based on the partition-integration concept. Geomatics natural hazards & risk. 2019; 10(1): 1346–1366. https://doi.org/10.1080/19475705.2019.1568313

33. Xue LQ, Wang J, Zhang LC, Wei GH, Zhu BL. Spatiotemporal analysis of ecological vulnerability and management in the Tarim River Basin, China. Science of the Total Environment. 2019; 649: 876–888. https://doi.org/10.1016/j.scitotenv.2018.08.321

34. Michel L, Claire de M. Biodiversity and ecosystem stability: a synthesis of underlying mechanisms. Ecology Letters. 2013; 16: 106–115. https://doi.org/10.1111/ele.12073

35. Peng J, Du Y, Liu YX, Hu XX. How to assess urban development potential in mountain areas? An approach of ecological carrying capacity in the view of coupled human and natural systems. Ecological indicators. 2016; 60: 1017–1030. https://doi.org/10.1016/j.ecolind.2015.09.008

36. Cheng K, Fu Q, Cui S, Li TX, Pei W, Liu D, et al. Evaluation of the land carrying capacity of major grain-producing areas and the identification of risk factors. Natural Hazards. 2017; 86(1): 263–280. https://doi.org/10.1007/s11069-016-2686-137

37. Han BL, Wang RS, Tao Y, Gao H. Urban population agglomeration in view of complex ecological niche: a case study on Chinese prefecture cites. Ecological Indicators. 2014; 47(S1): 128–136. https://doi.org/10.1016/j.ecolind.2014.08.002

38. Hu LJ, He ZY, Liu JP. Adaptive multi-scale population specialization model constrained by multiple factors: A case study of Russia. Cartographic Journal. 2017; 54(3): 265–282. https://doi.org/10.1080/00087041.2016.1193273

39. Zhang JJ, Zhu WB, Zhu LQ, Cui YP, He SS, Ren H. Topographical relief characteristics and its impact on population and economic case study of the mountainous area in western Henan, China. Journal of Geographical Sciences. 2019; 29(4): 598–612. https://doi.org/10.1007/s11442-D19-1617-y

40. Ye J, Xie QQ, Tan NY. National land spatial pattern distribution method based on ecological carrying capacity. Transactions of the Chinese Society of Agricultural Engineering. 2018; 33(11): 262–271. https://doi.org/1002-6819(2017)33:11<262:JYSTCZ>2.0.TX;2-H


Článek vyšel v časopise

PLOS One


2019 Číslo 12