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2019 | 28 | 4 |
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An improved method for evaluating regional resource carrying capacities: a case study of the Tarim River basin in Arid China

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Resource endowment and resource carrying capacity (RCC) are the most important cornerstones of regional sustainable development. By applying a newly established RCC method, namely, the relative resources carrying capacity (RRCC) method, we evaluated the RCC in the Tarim River basin (TRB) in arid China in Xinjiang during 2000-2011. Research results show that the relative resources carrying capacity can be effectively served as indicators of regional resources sustainable development status. Taking Xinjiang as the reference region, the TRB can be characterized as an area with an overloaded population and surplus economy during the whole research period, where land resources are relative advantage resources carrying the regional population growth and economic development and water resources are relative disadvantage resources restricting rapid regional development. Taking TRB as the reference region, 42 counties and cities in TRB performed significant temporal and spatial disparities according to the RRCC based on population and economic perspectives. Based on the spatial-temporal evolution of RRCC, 42 counties and cities in TRB were classified into four matching modes (A, B, C, and D). The spatial-temporal evolution characteristics and mechanisms about the 42 prefectures and cities were examined, and the suitable development strategies for every different mode were recommended.
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  • Xinjiang Laboratory of Lake Environment and Resources in Arid Zone, Research Centre for Urban Development of the Silk Road Economic Belt, College of Geography Science and Tourism, Xinjiang Normal University, Urumqi 830054, Xinjiang, China
  • Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China
  • Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China
  • College of Economic and Management, Huanghuai University, Zhumadian 463000, China
  • 1. HUI C. Carrying capacity, population equilibrium, and environment’s maximal load. Ecol Model, 192, 317, 2006.
  • 2. ARROW K., BOLIN B., COSTANZA R., DASGUPTA P., FOLKE C., HOLLING C.S., JANSSON B.-O., LEVIN S., M LER K.-G., PERRINGS C., PIMENTEL D. Economic Growth, Carrying Capacity, and the Environment. Science, 268, 520, 1995.
  • 3. ROUGHGARDEN J. Population Dynamics in a Spatially Varying Environment: How Population Size “Tracks” Spatial Variation in Carrying Capacity. The American Naturalist, 108, 649, 1974.
  • 4. MCLEOD S.R. Is the concept of carrying capacity useful in variable environments? Oikos, 79, 529, 1997.
  • 5. PARK R.E., BURGESS E.W. An introduction to the science of sociology. Chicago: The University of Chicago Press, 1921.
  • 6. WANG S.-X., SHANG M., ZHOU Y., LIU W.-L., WANG F., WANG L.-T. Resources and Environmental Carrying Capacity Using RS and GIS. Pol J Environ Stud, 26, 2793, 2017.
  • 7. ACCATINO F., WARD D., WIEGAND K., DE MICHELE C. Carrying capacity in arid rangelands during droughts: the role of temporal and spatial thresholds. Animal, 11, 309, 2017.
  • 8. WANG T., XU S. Dynamic successive assessment method of water environment carrying capacity and its application. Ecol Indicators, 52,134,2015.
  • 9. ZUO Q., MA J., GAO C. Study on carrying capacity of urban water environment. Advances in Water Science, 16, 103, 2005.
  • 10. MAJOR M., CIESLINSKI R. Retentivity as an Indicator of the Capacity of Basins without an Outlet to Accumulate Water Surpluses. Pol J Environ Stud, 24, 2503, 2015.
  • 11. ZHOU X.-Y., LEI K., MENG W., KHU S.-T. Industrial structural upgrading and spatial optimization based on water environment carrying capacity. Journal of Cleaner Production, 165, 1462, 2017.
  • 12. ZHOU R., PAN Z., JIN J., LI C., NING S. Forewarning Model of Regional Water Resources Carrying Capacity Based on Combination Weights and Entropy Principles. Entropy, 192017.
  • 13. LIU H., LIU Y., LI L., GAO H. Study of an evaluation method for water resources carrying capacity based on the projection pursuit technique. Water Science and Technology-Water Supply, 17, 1306, 2017.
  • 14. FU Z.H., ZHAO H.J., WANG H., LU W.T., WANG J., GUO H.C. Integrated planning for regional development planning and water resources management under uncertainty: A case study of Xining, China. JHyd, 554, 623, 2017.
  • 15. GU K., LIU J., DOU J. Response of Ecological Carrying Capacity of Resource-Type Cities to Changes in Land Use. Journal of Ecology and Rural Environment, 23, 7, 2007.
  • 16. SHAO X., ZHANG H. Estimation of the Labor Carrying Capacity of Land Resources in the Northwestern Shandong. Journal of Natural Resources, 19, 324, 2004.
  • 17. KRAJEWSKI P. Assessing Change in a High-Value Landscape: Case Study of the Municipality of Sobotka, Poland. Pol J Environ Stud, 26, 2603, 2017.
  • 18. BABY S., NATHAWAT M.S., AL-SARAWI M.A. Major Impacts from Anthropogenic Activities on Landscape Carrying Capacity of Kuwaiti Coast. Pol J Environ Stud, 23, 7, 2014.
  • 19. FONSECA J., BASSO E., SERRANO D., NAVEDO J.G. Effects of tidal cycles on shorebird distribution and foraging behaviour in a coastal tropical wetland: Insights for carrying capacity assessment. ECSS, 198, 279, 2017.
  • 20. SURINA, ZU J., JIN H., CHAOLUMENGQIQIGE, WANG Z., CHAMUHA, NA Y., LI J. Changes in Grassland Productivity and Livestock Carrying Capacity in Inner Mongolia. Ecology and Environmental Sciences, 26, 605, 2017.
  • 21. DUAN C., SHI P., ZHANG X., ZONG N., CHAI X., GENG S., ZHU W. The Rangeland Livestock Carrying Capacity and Stocking Rate in the Kailash Sacred Landscape in China. Journal of Resources and Ecology, 8, 551, 2017.
  • 22. NIELSEN J.L., RUGGERONE G.T. Climate Change and a Dynamic Ocean Carrying Capacity: Growth and Survival of Pacific Salmon at Sea. In: Knudsen EE, Michael JH, editors. Pacific Salmon Environmental and Life History Models: Advancing Science for Sustainable Salmon in the Future, 77, 2009.
  • 23. SARKER S., WILTSHIRE K.H. Phytoplankton carrying capacity: Is this a viable concept for coastal seas? Ocean Coast Manage, 148, 1, 2017.
  • 24. MA P., YE G., PENG X., LIU J., QI J., JIA S. Development of an index system for evaluation of ecological carrying capacity of marine ecosystems. Ocean Coast Manage, 144, 23, 2017.
  • 25. LIU R.Z., BORTHWICK A.G.L. Measurement and assessment of carrying capacity of the environment in Ningbo, China. J Environ Manage, 92, 2047, 2011.
  • 26. LOPEZ J.C.C., BHAKTIKUL K. Sustainable Environment and Tourism Industry: An Institutional Policy Analysis of Northeastern Thailand. Pol J Environ Stud, 27, 31, 2018.
  • 27. ZHANG M., LIU Y., WU J., WANG T. Index system of urban resource and environment carrying capacity based on ecological civilization. Environ Impact Assess Rev, 68, 90, 2018.
  • 28. LEVI CUPUL-MAGANA A., PAOLA RODRIGUEZTRONCOSO A. Tourist carrying capacity at Islas Marietas National Park: An essential tool to protect the coral community. Applied Geography, 88, 15, 2017.
  • 29. BYRON C., LINK J., COSTA-PIERCE B., BENGTSON D. Calculating ecological carrying capacity of shellfish aquaculture using mass-balance modeling: Narragansett Bay, Rhode Island. Ecol Model, 222, 1743, 2011.
  • 30. PRATO T. Fuzzy adaptive management of social and ecological carrying capacities for protected areas. J Environ Manage, 90, 2551, 2009.
  • 31. XU L., YANG X., WANG K., LI X., ZHANG M. Research progress in ecological carrying capacity. Ecology and Environment, 15, 1111, 2006.
  • 32. TANG M., WU D., FU X., CAO H. An assessment of ecological carrying capacity of Xilingol, Inner Mongolia. Int J Sustain Dev World Ecol, 24, 408, 2017.
  • 33. LI X., MENG M. Optimum population analysis of Jilin Province,China based on comprehensive carrying capacity. Chinese Journal of Applied Ecology, 28, 3378, 2017.
  • 34. BROWN M.T., ULGIATI S. Emergy measures of carrying capacity to evaluate economic investments. Popul Environ, 22, 471, 2001.
  • 35. 35. CUADRA M., BJORKLUND J. Assessment of economic and ecological carrying capacity of agricultural crops in Nicaragua. Ecol Indicators, 7, 133, 2007.
  • 36. LEUJAK W., ORMOND R.F.G. Visitor perceptions and the shifting social carrying capacity of south sinai’s coral reefs. Environ Manage, 39, 472, 2007.
  • 37. LI Z., DONG S., TANG S. Model Modification and Empirical Analysis of the Relative Carrying Capacity of Resources. Resources Science, 30, 1336, 2008.
  • 38. HUANG C., HE L. Model Modifications and Empirical Analysis of the Relative Carrying Capacity of Resources. Resources Science, 33, 41, 2011.
  • 39. LIU Z., YU X. Carrying capacity of resources and problems of sustainable development in yangtze basin. Resources and Environment in the Yangtze Valley, 11, 10, 2002.
  • 40. HE M., LIU Y. Relative carrying capacity of resources and problems of sustainable development in Jiangsu Province. China Population·Resources and Environment, 13, 81, 2003.
  • 41. PENG Z., GUO S. Research on the Relative Carrying Capacity of Resources Based on Improved Model in the Southwest District of China: A Case Study in Ya’an City of Sichuan Province. Areal research and development, 153, 2018.
  • 42. CHEN W., LI J., WU K., FAN X. Model modification and empirical analysis of the relative carrying capacity of resources in Xinjiang. Arid Land Geography, 453, 2017.
  • 43. AN Y., ZHOU L., YANG G., CHEN Y., LU H. Relative carrying capacity of resources in Yanchi county of Ningxia. Journal of Desert Research, 399, 2017.
  • 44. FU Q., YANG D., ZHANG X., XIA F., WANG F. Time and space differentiation of relative carrying capacity of resources in Ili based on improved model. Journal of University of Chinese Academy of Sciences, 170, 2016.
  • 45. BING F., CHEN Q., ZHANG D. Regional differences of relative carrying capacity of resources in Gansu pastoral area. Pratacultural science, 2587, 2016.
  • 46. TORRE A. On the role played by temporary geographical proximity in knowledge transmission. Reg Stud, 42, 869, 2008.
  • 47. BOSCHMA R., ERIKSSON R., LINDGREN U. How does labour mobility affect the performance of plants The importance of relatedness and geographical proximity. Journal of Economic Geography, 9, 169, 2009.
  • 48. WANG C., WANG F., WEN B. Spatio-temporal variability of relative carrying capacity of resources in the Kaidu River-Kongque River Basin. Research of Agricultural Modernization, 37, 444, 2016.
  • 49. WANG F., YANG D., WANG C., XIA W., YANG F. Spatiotemporal Characteristics of Sustainable Development in Xinjiang Based on Improved Relative Carrying Capacity of Resources. Journal of Desert Research, 33, 1605, 2013.
  • 50. WANG F., YANG D., WANG C., ZHANG Y., TANG H., YIN J. Sustainable Development in Northern Slope of the Tianshan Mountains Based on Improved Model of Carrying Capacity Related to Resources. Arid Zone Research, 30, 1073, 2013.
  • 51. WANG F., YANG D., ZHANG X., WANG C. Spatial pattern and internal differences evolvement of economy in Xinjiang at the county level. Arid Land Geography, 37, 820, 2014.
  • 52. QIN S., NAN Z. Dynamic Analysis of Relative Carrying Capacity of Resources in Baiyin City. Research of Soil and Water Conservation, 14, 132, 2007.
  • 53. YANG Q., LU C., WEN F., WANG Z., MAO X., MAI X. On Relative Carrying Capacity of Resources and Sustainable Development in Chongqing City. Research of Agricultural Modernization, 28, 314, 2007.
  • 54. WANG C., ZHANG X., DU H., WANG F. Quantitative analysis of the dynamic relationship between urbanization level and eco-environment quantity in Xinjiang, China. Journal of Desert Research, 32, 1794, 2012.
  • 55. WANG C., WANG F., ZHANG H. The process of energyrelated carbon emissions and influencing mechanism research in Xinjiang. Acta Ecol Sin, 36, 2151, 2016.
  • 56. WANG C., ZHANG X., ZHANG H., WANG F. Influencing mechanism of energy-related carbon emissions in Xinjiang based on the input-output and structural decomposition analysis. Acta Geographica Sinica, 71, 1105, 2016.
  • 57. WANG C., WANG F., ZHANG X., DU H. Quantitative analysis of the economic growth influence on urbanization and ecological environment pressure in Xinjiang. Journal of University of Chinese Academy of Sciences, 31, 206, 2014.
  • 58. WANG C., ZHANG X., DU H., LI X. Relationship between urbanization and water use in Tarim River:a case of Bayingolin Mongol Autonomous Prefecture. Arid Land Geography, 35, 324, 2012.
  • 59. WANG C., ZHANG X., DU H., WANG F. Comprehensive Evaluation and Analysis on the Water Resources Carrying Capacity Levels in the Kaidu-Kongqi River Basin. Journal of Glaciology and Geocryology, 34, 990, 2012.
  • 60. ZUMRAT E., TURSUN Q., AYXAM I., MNISAHAN T., HAN G. The land-use changes and its environmental effects in Tarim River. Journal of Arid Land Resources and Environment, 25, 29, 2011.
  • 61. WANG F., YANG D., WANG C., LIU Y., ZHANG W. Dynamic econometric analysis of interaction between agricultural land intensive utilization and economic growth:a case of Baicheng County. Arid Land Geography, 35, 1012, 2012.
  • 62. YANG Y., LIU Y. Spatio-temporal analysis of urbanization and land and water resources efficiency of oasis cities in Tarim River Basin. J Geogr Sci, 24, 509, 2014.
  • 63. CHANG C., BAO A., LI J. Spatiotemporal Evolution of Cultivated Land in the Headwaters of the Tarim River. Arid Zone Research, 33, 239, 2016.
  • 64. GUO H., XU H., LING H. Study of EcologicalWater Transfer Mode and Ecological Compensation Scheme of the Tarim River Basin in Dry Years. Journal of Natural Resources, 32, 1705, 2017.
  • 65. WANG C., ZHANG X., DU H., WANG F., ZHANG X., NI T. Quantitative analysis of the dynamic relationship between urbanization and ecological environment in Urumqi,Xinjiang. Arid Land Geography, 37, 609, 2014.
  • 66. WANG C., WANG F., WEN B. Empirical analysis of the inner relationship and mechanism of urbanization, industrialization, and agricultural and husbandry modernization in Xinjiang, China. Research of Agricultural Modernization, 36, 1007, 2015.
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