Assessing the dynamics of human activity intensity and its natural and socioeconomic determinants in Qinghai–Tibet Plateau

Hanchu Liu , Jie Fan , Kan Zhou , Xin Xu , Haipeng Zhang , Rui Guo , Shaofeng Chen

Geography and Sustainability ›› 2023, Vol. 4 ›› Issue (4) : 294 -304.

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Geography and Sustainability ›› 2023, Vol. 4 ›› Issue (4) :294 -304. DOI: 10.1016/j.geosus.2023.05.003
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Assessing the dynamics of human activity intensity and its natural and socioeconomic determinants in Qinghai–Tibet Plateau

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Abstract

Investigating the spatiotemporal variation of human activity intensity and its determinants is a crucial basis for further revealing the mechanism of human-environment interaction and optimizing the human development mode. In this study, the human activity intensity on the Qinghai–Tibet Plateau (QTP) from 1990 to 2020 was measured based on the quantitative model of land use data and the actual regional background, and the underlying natural and socioeconomic determinants were investigated using spatial econometric methods. The results demonstrate that (1) the human activity intensity in QTP has increased by 11.96%, and there are differences in different spatial scales; the areas with high human activity intensity are distributed in the Hehuang Valley where Xining City and its surrounding areas are located, as well as the One-River and Two-River Area where Lhasa City and surrounding areas are located. (2) Human activity intensity has significant positive spatial spillover, suggesting that local changes will cause changes in the same direction in adjacent areas. (3) The human activity intensity in QTP is affected by various determinants. Concerning socioeconomic factors, the economic level has no significant impact on the human activity intensity in QTP, which differs from the general regional law. Both urbanization and traffic conditions have a significant positive effect, and the impact intensity continues to increase. Concerning natural factors, topographic relief has a significant positive effect; the impacts of temperature and vegetation coverage have changed from insignificant to a significant positive effect; the impacts of precipitation and river network density have not been verified; there is no linear relationship between altitude and human activity intensity in the entire QTP, while it exists in local regions. Finally, this study proposes three policy implications for the realization of a more harmonious human-environment relationship in QTP.

Keywords

Human activity intensity / Spatiotemporal dynamics / Natural and socioeconomic determinants / Spatial econometric model / Qinghai–Tibet Plateau

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Hanchu Liu, Jie Fan, Kan Zhou, Xin Xu, Haipeng Zhang, Rui Guo, Shaofeng Chen. Assessing the dynamics of human activity intensity and its natural and socioeconomic determinants in Qinghai–Tibet Plateau. Geography and Sustainability, 2023, 4(4): 294-304 DOI:10.1016/j.geosus.2023.05.003

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Declaration of Competing Interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (Grant No. 42001139), the Second Tibetan Plateau Scientific Expedition and Research Program (Grant No. 2019QZKK0406), the National Natural Science Foundation of China (Grant No. 42230510), and the China Postdoctoral Science Foundation (Grant No. 2020M670472).

Supplementary materials

Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.geosus.2023.05.003.

References

[1]

Anselin, L., 1995. Local indicator of spatial association (LISA). Geogr. Anal., 27(2), 93-115.

[2]

Bibri, S. E., Krogstie, J, Kärrholm, M., 2020. Compact city planning and development: Emerging practices and strategies for achieving the goals of sustainability. Dev. Built Environ., 4, 100021.

[3]

Brown, M. T., Vivas, M. B., 2005. Landscape development intensity index. Environ. Monit. Assess., 101(3), 289-309.

[4]

Bucała, A., 2014. The impact of human activities on land use and land cover changes and environmental processes in the Gorce Mountains (Western Polish Carpathians) in the past 50 years. J. Environ. Manage., 138, 4-14.

[5]

Bu, Y, Wang, E, Jiang, Z., 2021. Evaluating spatial characteristics and influential factors of industrial wastewater discharge in China: A spatial econometric approach. Ecol. Indic., 121, 107219.

[6]

Chen, T, Jiao, J, Wei, W, Li, J, Zhang, Z, Yang, H, Ma, H., 2023. Spatiotemporal variation in the land use/cover of alluvial fans in Lhasa River Basin, Qinghai–Tibet Plateau. Agriculture 13(2), 312.

[7]

Chi, Y, Shi, H, Zheng, W, Sun, J, Fu, Z., 2018. Spatiotemporal characteristics and ecological effects of the human interference index of the Yellow River Delta in the last 30 years. Ecol. Indic., 89, 880-892.

[8]

Chi, Y, Zhang, Z, Xie, Z, Wang, J., 2020. How human activities influence the island ecosystem through damaging the natural ecosystem and supporting the social ecosystem?. J. Clean. Prod., 248, 119203.

[9]

Ding, Y, Shi, B, Su, G, Li, Q, Meng, J, Jiang, Y, Qin, Y, Dai, L, Song, S., 2021. Assessing suitability of human settlements in high-altitude area using a comprehensive index method: A case study of Tibet, China. Sustainability 13(3), 1485.

[10]

Duan, Q, Luo, L., 2021. Summary and prospect of spatialization method of human activity intensity: Taking the Qinghai-Tibet Plateau as an example. J. Glaciol. Geocryol., 43(1), 1-12.

[11]

Elhorst, J. P., 2014. Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer, Berlin, Heidelberg

[12]

Feng, Z, Tang, Y, Yang, Y, Zhang, D., 2008. Relief degree of land surface and its influence on population distribution in China. J. Geogr. Sci., 18(2), 237-246.

[13]

Ferraro, P. J., Sanchirico, J. N., Smith, M. D., 2019. Causal inference in coupled human and natural systems. Proc. Natl. Acad. Sci. U.S.A., 116(12), 5311-5318.

[14]

Gao, D, Li, S., 2022. Spatiotemporal impact of railway network in the Qinghai-Tibet Plateau on accessibility and economic linkages during 1984–2030. J. Transp. Geogr., 100, 103332.

[15]

Gao, X, Li, T, Sun, D., 2021. Regional differentiation regularity and influencing factors of population change in the Qinghai-Tibet Plateau, China. Chin. Geogr. Sci., 31(5), 888-899.

[16]

Guo, X, Deng, M, Wang, X, Yang, X., 2023. Population agglomeration in Chinese cities: Is it benefit or damage for the quality of economic development?. Environ. Sci. Pollut. Res. . doi: 10.1007/s11356-023-25220-4.

[17]

Halik, W, Mamat, A, Dang, J. H., Deng, B. S. H., Tiyip, T., 2013. Suitability analysis of human settlement environment within the Tarim Basin in Northwestern China. Quat. Int., 311, 175-180.

[18]

Huang, K, Zhang, Y, Zhu, J, Liu, Y, Zu, J, Zhang, J., 2016. The influences of climate change and human activities on vegetation dynamics in the Qinghai-Tibet Plateau. Remote Sens., 8(10), 876.

[19]

Jones, K. R., Venter, O, Fuller, R. A., Allan, J. R., Maxwell, S. L., Negret, P. J., Watson, J. E., 2018. One-third of global protected land is under intense human pressure. Science 360(6390), 788-791.

[20]

Kotavaara, O, Antikainen, H, Marmion, M, Rusanen, J., 2012. Scale in the effect of accessibility on population change: GIS and a statistical approach to road, air and rail accessibility in Finland, 1990–2008. Geogr. J., 178(4), 366-382.

[21]

Krausmann, F, Erb, K. H., Gingrich, S, Haberl, H, Bondeau, A, Gaube, V, Lauk, C, Plutzar, C, Searchinger, T. D., 2013. Global human appropriation of net primary production doubled in the 20th century. Proc. Natl. Acad. Sci. U.S.A., 110(25), 10324-10329.

[22]

Lesage, J. P., 2008. An introduction to spatial econometrics. Rev. Econ. Ind., 123(3), 19-44.

[23]

Leu, M, Hanser, S. E., Knick, S. T., 2008. The human footprint in the west: A large-scale analysis of anthropogenic impacts. Ecol. Appl., 18(5), 1119-1139.

[24]

Li, J, Gong, Y., 2022. Spatial location differentiation and development decision optimization of characteristic villages and towns in China. Geogr. Sustain., 3(1), 21-31.

[25]

Li, W, Li, P, Feng, Z., 2021. Spatial definition of "Unpopulated Areas (UPAs)" based on the characteristics of human settlements in the Qinghai-Tibet Plateau, China. Acta Geogr. Sin., 76(9), 2118-2129.

[26]

Li, S, Zhang, H, Zhou, X, Yu, H, Li, W., 2020. Enhancing protected areas for biodiversity and ecosystem services in the Qinghai–Tibet plateau. Ecosyst. Serv., 43, 101090.

[27]

Li, S, Zhang, Y, Wang, Z, Li, L., 2018. Mapping human influence intensity in the Tibetan Plateau for conservation of ecological service functions. Ecosyst. Serv., 30, 276-286.

[28]

Li, X. L., Gao, J, Brierley, G, Qiao, Y. M., Zhang, J, Yang, Y. W., 2013. Rangeland degradation on the Qinghai-Tibet Plateau: Implications for rehabilitation. Land Degrad. Dev., 24(1), 72-80.

[29]

Li, Y, Zhou, T, Jiang, G, Li, G, Zhou, D, Luo, Y., 2021. Spatial pattern and mechanisms of farmland abandonment in agricultural and pastoral areas of Qingzang Plateau. Geogr. Sustain., 2(3), 139-150.

[30]

Liu, C, Wang, F, Xu, Y., 2019. Habitation environment suitability and population density patterns in China: A regionalization approach. Growth Change 50(1), 184-200.

[31]

Liu, C, Zhang, H, Li, Q., 2020. Spatiotemporal characteristics of human activity intensity and its driving mechanism in Hainan Province from 1980 to 2018. Prog. Geogr., 39(4), 567-576.

[32]

Liu, H, Fan, J, Zeng, Y, Wang, W., 2018. The evolution of tea spatial agglomeration in China: An analysis based on different geographical scales. J. Mt. Sci., 15(12), 2590-2602.

[33]

Liu, J, Milne, R. I., Cadotte, M. W., Wu, Z, Provan, J, Zhu, G, Gao, L, Li, D., 2018. Protect third pole's fragile ecosystem. Science 362, 6421.

[34]

Lövbrand, E, Beck, S, Chilvers, J, Forsyth, T, Hedrén, J, Hulme, M, Lidskog, R, Vasileiadou, E., 2015. Who speaks for the future of Earth? How critical social science can extend the conversation on the Anthropocene. Glob. Environ. Change 32, 211-218.

[35]

Luo, J, Zhou, T, Du, P, Xu, Z., 2019. Spatial-temporal variations of natural suitability of human settlement environment in the Three Gorges reservoir area—A case study in Fengjie County, China. Front. Earth Sci., 13(1), 1-17.

[36]

Mi, X, Feng, G, Hu, Y., 2021. The global significance of biodiversity science in China: An overview. Natl. Sci. Rev., 8 (7)

[37]

Pan, T, Zou, X, Liu, Y, Wu, S, He, J., 2017. Contributions of climatic and non-climatic drivers to grassland variations on the Tibetan Plateau. Ecol. Eng., 108, 307-317.

[38]

Peng, K, Zhang, Y, Gao, W, Lu, Z., 2020. Evaluation of human activity intensity in geological environment problems of Ji'nan City. Eur. J. Remote Sens., 54(2), 117-121.

[39]

Qi, W, Yi, J., 2021. Spatial pattern and driving factors of migrants on the Qinghai-Tibet Plateau: Insights from short-distance and long-distance population migrants. J. Geogr. Sci., 31(2), 215-230.

[40]

Sahana, M, Hong, H, Sajjad, H., 2018. Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, India. Sci. Total Environ., 628, 1557-1566.

[41]

Sun, Y, Liu, S, Shi, F, An, Y, Li, M, Liu, Y., 2020. Spatio-temporal variations and coupling of human activity intensity and ecosystem services based on the four-quadrant model on the Qinghai-Tibet Plateau. Sci. Total Environ., 628, 140721.

[42]

Tian, Y, Yu, C, Zha, X, Gao, X, Dai, E., 2019. Hydrochemical characteristics and controlling factors of natural water in the border areas of the Qinghai-Tibet Plateau. J. Geogr. Sci., 29(11), 1876-1894.

[43]

Vačkář, D, Chobot, K, Orlitová, E., 2012. Spatial relationship between human population density, land use intensity and biodiversity in the Czech Republic. Landsc. Ecol., 27(9), 1279-1290.

[44]

Venter, O, Sanderson, E. W., Magrach, A, Allan, J. R., Beher, J, Jones, K. R., Possingham, H. P., Laurance, W. F., Wood, P, Fekete, B. M., Levy, M. A., Watson, J. E. M., 2016. Global terrestrial Human Footprint maps for 1993 and 2009. Sci. Data 3, 160067.

[45]

Wang, C, Han, A, Zeng, Y., 2019. Population distribution pattern and influencing factors in Tibet based on random forest model. Acta Geogr. Sin., 74(4), 664-680.

[46]

Wang, S, Liu, X, Yang, X, Zou, B, Wang, J., 2018. Spatial variations of PM2.5 in Chinese cities for the joint impacts of human activities and natural conditions: A global and local regression perspective. J. Clean. Prod., 203, 143-152.

[47]

Wang, X, Huang, X, Zhang, X, Yan, Y, Zhou, C, Zhou, J, Feng, X., 2022. Analysis of the spatio-temporal change of social-ecological system coupling: A case study in the Qinghai-Tibet Plateau. Glob. Ecol. Conserv., 33, e01973.

[48]

Wang, Y, Liu, Z, He, C, Xia, P, Liu, Z, Liu, H., 2020. Quantifying urbanization levels on the Tibetan Plateau with high-resolution nighttime light data. Geogr. Sustain., 1(3), 233-244.

[49]

Wei, D, Zhao, H, Zhang, J, Qi, Y, Wang, X., 2020. Human activities alter response of alpine grasslands on Tibetan plateau to climate change. J. Environ. Manage., 262, 110335.

[50]

Wei, H, Gao, Y, Han, Q, Li, L, Dong, X, Liu, M, Meng, Q., 2022. Quality evaluation and obstacle identification of human settlements in the Qinghai–Tibet Plateau based on multi-source data. Land 11(9), 1479.

[51]

Wei, W, Shi, P, Zhou, J, Feng, H, Wang, X, Wang, X., 2013. Environmental suitability evaluation for human settlements in an arid inland river basin: A case study of the Shiyang River Basin. J. Geogr. Sci., 23(2), 13-26.

[52]

Woolmer, G, Trombulak, S. C., Ray, J. C., Doran, P. J., Anderson, M. G., Baldwin, R. F., Morgan, A, Sanderson, E. W., 2008. Rescaling the human footprint: A tool for conservation planning at an ecoregional scale. Landsc. Urban Plan., 87(1), 42-53.

[53]

Xia, M, Jia, K, Zhao, W, Liu, S, Wei, X, Wang, B., 2021. Spatio-temporal changes of ecological vulnerability across the Qinghai-Tibetan Plateau. Ecol. Indic., 123, 107274.

[54]

Xiao, C. W., Feng, Z. M., Li, P, You, Z, Teng, J. K., 2018. Evaluating the suitability of different terrains for sustaining human settlements according to the local elevation range in China using the ASTER GDEM. J. Mt. Sci., 15(12), 2741-2751.

[55]

Xu, Y, Xu, X, Tang, Q., 2016. Human activity intensity of land surface: Concept, methods and application in China. J. Geogr. Sci., 26(9), 1349-1361.

[56]

Xu, X, Xu, Y., 2017. Analysis of spatial-temporal variation of human activity intensity in Loess Plateau region. Geogr. Res., 36(4), 661-672.

[57]

Yang, F, Matsushita, B, Yang, W, Fukushima, T., 2014. Mapping the human footprint from satellite measurements in Japan. ISPRS J. Photogramm., 88, 80-90.

[58]

Zhang, H, Liu, H, Sun, Y, He, R., 2022. Spatial differentiation characteristics of human settlements and their responses to natural and socioeconomic conditions in the marginal zone of an uninhabited area, Changtang Plateau, China. Chin. Geogr. Sci., 32(3), 506-520.

[59]

Zhang, X, Xu, Z., 2021. Functional coupling degree and human activity intensity of production–living–ecological space in underdeveloped regions in China: Case study of Guizhou Province. Land 10(1), 56.

[60]

Zhang, J. K., Zhang, Y., 2019. Trade-offs between sustainable tourism development goals: An analysis of Tibet (China). Sustain. Dev., 27(1), 109-117.

[61]

Zhou, K, Wu, J, Liu, H., 2021. Spatiotemporal variations and determinants of water pollutant discharge in the Yangtze River Economic Belt, China: A spatial econometric analysis. Environ. Pollut., 271, 116320.

[62]

Zhuo, L, Ichinose, T, Zheng, J, Chen, J, Shi, P. J., Li, X., 2009. Modelling the population density of China at the pixel level based on DMSP/OLS non-radiance-calibrated night-time light images. Int. J. Remote Sens., 30(4), 1003-1018.

[63]

Zhu, H, Su, D, Yao, F., 2022. Spatio-temporal differences in economic security of the prefecture-level cities in Qinghai–Tibet Plateau region of China: Based on a triple-dimension analytical framework of economic geography. Int. J. Environ. Res. Public Health 19(17), 10605.

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