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ORIGINAL RESEARCH
Territorial Spatial Evolution and Driving
Mechanisms in Economically Developed
Watershed Areas: A Case Study of
Hanjiang River Basin in China
1
Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
2
Yunnan Yunjindi Technology Co., Kunming 650032, China
Submission date: 2024-03-18
Final revision date: 2024-07-21
Acceptance date: 2024-08-28
Online publication date: 2024-10-25
Publication date: 2025-11-04
Corresponding author
Guoping Chen
Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
Pol. J. Environ. Stud. 2025;34(6):6805-6825
KEYWORDS
national territoryHanjiang River basingeological information mappingspatial autocorrelationGeoDetector
TOPICS
ABSTRACT
Research Purpose: The aim of this study is to investigate the spatiotemporal evolution characteristics
and the driving mechanisms behind the spatial patterns of land use in economically developing river
basins. Research Methods: The study employed geographic information systems, spatial autocorrelation
techniques, and geographic detector methods to analyze the Hanjiang River Basin, focusing on the
logical sequence of "evolution process - evolution pattern - driving mechanism" in land spatial changes.
Research Findings: (1) From 2000 to 2020, the comprehensive change rates for urban, ecological, and
agricultural spaces in the study area were 228%, -3%, and -1%, respectively. (2) The centroid of urban
space shifted from southeast to northwest, while that of agricultural space moved from southwest
to northeast. The centroid of ecological space initially shifted from northwest to southeast but then
reversed. Univariate and bivariate clustering features exhibited similarities. (3) The outward migration
of labor-intensive industries from the Pearl River Delta was identified as a significant factor driving the
spatiotemporal evolution of land spatial patterns in the study area. Significance: This study supports
the implementation of land spatial planning in economically developed regions and offers insights for
coordinated development in less-developed river basins.
CONFLICT OF INTEREST
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.
REFERENCES (41)
1.
HOMER C., HUANG C., YANG L., WYLIE B., COAN M. Development of a 2001 National Land-Cover Database for the United States. Photogrammetric Engineering & Remote Sensing, 70 (7), 829, 2004. https://doi.org/10.14358/PERS.....
2.
SCHINDLER S., KANAI J.M. Getting the territory right: infrastructure-led development and the re-emergence of spatial planning strategies. Regional Studies, 55 (1), 40, 2019. https://doi.org/10.1080/003434....
3.
CHEN M., LIANG L., WANG Z., ZHANG W., YU J., LIANG Y. Geographical thoughts on the relationship between 'Beautiful China' and land spatial planning. Journal of Geographical Sciences, 30 (5), 705, 2020. https://doi.org/10.1007/s11442....
4.
LIU Y., ZHOU Y. Territory spatial planning and national governance system in China. Land Use Policy, 102, 2021. https://doi.org/10.1016/j.land....
5.
LIN G., JIANG D., FU J., ZHAO Y. A Review on the Overall Optimization of Production-Living-Ecological Space: Theoretical Basis and Conceptual Framework. Land, 11 (3), 2022. https://doi.org/10.3390/land11....
6.
JI Z., LIU C., XU Y., HUANG A., LU L., DUAN Y. Identification and optimal regulation of the production-living-ecological space based on quantitative land use functions. Transactions of the Chinese Society of Agricultural Engineering, 36 (18), 222, 2020.
7.
MANSOUR S., AL-BELUSHI M., AL-AWADHI T. Monitoring land use and land cover changes in the mountainous cities of Oman using GIS and CA-Markov modelling techniques. Land Use Policy, 91, 2020. https://doi.org/10.1016/j.land....
8.
XU Z., ZHAO C. Temporal and Spatial Pattern Evolution of Rural Settlements in the Karst Trough Valley Area in the Past 50 Years. Research of Soil and Water Conservation, 27 (5), 365, 2020.
9.
MUNTHALI M.G., DAVIS N., ADEOLA A.M., BOTAI J.O., KAMWI J.M., CHISALE H.L.W., ORIMOOGUNJE O.O.I. Local Perception of Drivers of Land-Use and Land-Cover Change Dynamics across Dedza District, Central Malawi Region. Sustainability, 11 (3), 2019. https://doi.org/10.3390/su1103....
10.
ZHU W., SUN H. Study on Spatio-Temporal Evolution and Driving Forces of Urban Land Use Benefits in Jiangsu Province. China Land Science, 33 (4), 103, 2019.
11.
HONGQI Z., ERQI X.U., HUIYI Z.H.U. Ecological-Living-Productive Land Classification System in China. Journal of Resources and Ecology, 8 (2), 121, 2017. https://doi.org/10.5814/j.issn....
12.
LIAO G., HE P., GAO X., DENG L., ZHANG H., FENG N., ZHOU W., DENG O. The Production-Living-Ecological Land Classification System and Its Characteristics in the Hilly Area of Sichuan Province, Southwest China Based on Identification of the Main Functions. Sustainability, 11 (6), 2019. https://doi.org/10.3390/su1106....
13.
SHOUBAO G., WANRUI Z., PEILI S. A Functional Land Use Classification for Ecological, Production and Living Spaces in the Taihang Mountains. Journal of Resources and Ecology, 10 (3), 2019. https://doi.org/10.5814/j.issn....
14.
BERDEGUÉ J.A., HILLER T., RAMÍREZ J.M., SATIZÁBAL S., SOLOAGA I., SOTO J., URIBE M., VARGAS O. Delineating functional territories from outer space. Latin American Economic Review, 28 (1), 2019. https://doi.org/10.1186/s40503....
15.
FAN J., LI S., SUN Z., GUO R., ZHOU K., CHEN D., WU J. The functional evolution and system equilibrium of urban and rural territories. Journal of Geographical Sciences, 32 (7), 1203, 2022. https://doi.org/10.1007/s11442....
16.
WANG S., QU Y., ZHAO W., GUAN M., PING Z. Evolution and Optimization of Territorial-Space Structure Based on Regional Function Orientation. Land, 11 (4), 2022. https://doi.org/10.3390/land11....
17.
VICENTE-SERRANO S.M., LASANTA T., ROMO A. Analysis of spatial and temporal evolution of vegetation cover in the Spanish Central Pyrenees: role of human management. Environment Management, 34 (6), 802, 2004. https://doi.org/10.1007/s00267... PMid:15562324.
18.
LI D., WEI Y.D., WANG T. Spatial and temporal evolution of urban innovation network in China. Habitat International, 49, 484, 2015. https://doi.org/10.1016/j.habi....
19.
LI C., WU P.T., LI X.L., ZHOU T.W., SUN S.K., WANG Y.B., LUAN X.B., YU X. Spatial and temporal evolution of climatic factors and its impacts on potential evapotranspiration in Loess Plateau of Northern Shaanxi, China. Science of the Total Environment, 589, 165, 2017. https://doi.org/10.1016/j.scit... PMid:28258753.
20.
ZHOU K., YANG J., YANG T., DING T. Spatial and temporal evolution characteristics and spillover effects of China's regional carbon emissions. Journal of Environmental Management, 325 (Pt A), 116423, 2023. https://doi.org/10.1016/j.jenv... PMid:36244288.
21.
LIU F., QIN T., GIRMA A., WANG H., WENG B., YU Z., WANG Z. Dynamics of Land-Use and Vegetation Change Using NDVI and Transfer Matrix: A Case Study of the Huaihe River Basin. Polish Journal of Environmental Studies, 28 (1), 213, 2018. https://doi.org/10.15244/pjoes....
22.
WENTAO N., QINGHUI S., ZHENZHEN X., WENWEN S. Evaluation of the Land Use Benefit of Rapidly Expanding Cities Based on Coupling Coordination and a Transfer Matrix. Journal of Resources and Ecology, 14 (3), 2023. https://doi.org/10.5814/j.issn....
23.
O'NEILL R.V., KRUMMEL J.R., GARDNER R.H., SUGIHARA G., JACKSON B., DEANGELIS D.L., MILNE B.T., TURNER M.G., ZYGMUNT B., CHRISTENSEN S.W., DALE V.H., GRAHAM R.L. Indices of landscape pattern. Landscape Ecology, 1 (3), 153, 1988. https://doi.org/10.1007/BF0016....
24.
SAKIEH Y., AMIRI B.J., DANEKAR A., FEGHHI J., DEZHKAM S. Scenario-based evaluation of urban development sustainability: an integrative modeling approach to compromise between urbanization suitability index and landscape pattern. Environment, Development and Sustainability, 17 (6), 1343, 2014. https://doi.org/10.1007/s10668....
25.
ZHOU Z.X., LI J. The correlation analysis on the landscape pattern index and hydrological processes in the Yanhe watershed, China. Journal of Hydrology, 524, 417, 2015. https://doi.org/10.1016/j.jhyd....
26.
KOOCHAKSARAEI R.H., MENEGHINI I.R., COELHO V.N., GUIMARÃES F.G. A new visualization method in many-objective optimization with chord diagram and angular mapping. Knowledge-Based Systems, 138, 134, 2017. https://doi.org/10.1016/j.knos....
27.
CHEN Y., QI Q., YANG G. Basic Theories of Geo-Info-TUPU. Scientia Geographica Sinica, 26 (3), 306, 2006.
28.
WANG H., ZHANG B., LIU Y., LIU Y., XU S., ZHAO Y., CHEN Y., HONG S. Urban expansion patterns and their driving forces based on the center of gravity-GTWR model: A case study of the Beijing-Tianjin-Hebei urban agglomeration. Journal of Geographical Sciences, 30 (2), 297, 2020. https://doi.org/10.1007/s11442....
29.
LEGENDRE P. Spatial Autocorrelation: Trouble or New Paradigm? Ecology, 74 (6), 1659, 1993. https://doi.org/10.2307/193992....
30.
DORMANN C.F., MCPHERSON J.M., ARAÚJO M.B., BIVAND R., BOLLIGER J., CARL G., DAVIES R.G., HIRZEL A., JETZ W., KISSLING W.D., KÜHN I., OHLEMÜLLER R., PERES‐NETO P.R., REINEKING B., SCHRÖDER B., SCHURR F.M., WILSON R. Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography, 30 (5), 609, 2007. https://doi.org/10.1111/j.2007... PMCid:PMC7297768.
31.
BIVAND R.S., WONG D.W.S. Comparing implementations of global and local indicators of spatial association. Test, 27 (3), 716, 2018. https://doi.org/10.1007/s11749... PMCid:PMC7673029.
32.
WANG J., XU C. Geodetector: Principle and prospective. Acta Geographica Sinica, 72 (1), 116, 2017.
33.
ZHAO J., ZHAO Y.L., YANG X.P. Evolution Characteristics and Driving Mechanism of the Territorial Space Pattern in the Yangtze River Economic Belt, China. Land, 11 (9), 2022. https://doi.org/10.3390/land11....
34.
YIN D.Y., LI X.S., LI G.I., ZHANG J., YU H.C. Spatio-Temporal Evolution of Land Use Transition and Its Eco-Environmental Effects: A Case Study of the Yellow River Basin, China. Land, 9 (12), 2020. https://doi.org/10.3390/land91....
35.
ZHANG Z., ZHOU Y., XIA B., ZHENG G., SHENG Y. Tendency and Driving Forces of Cultivated Land Use Change in The Lower Valley of Hanjiang River: the Case of Shantou City. Research of Soil and Water Conservation, 14 (1), 2007.
36.
QU Y., WANG S., ZHU W., PING Z. Spatial-temporal differentiation characteristics and driving force of territorial space evolution in the Yellow River Delta. Transactions of the Chinese Society of Agricultural Engineering, 37 (6), 2021.
37.
CHEN L., XU L., YANG Z. Accounting carbon emission changes under regional industrial transfer in an urban agglomeration in China's Pearl River Delta. Journal of Cleaner Production, 167, 110, 2017. https://doi.org/10.1016/j.jcle....
38.
GAR-ON YEH A., LI X.I.A. Economic Development and Agricultural Land Loss in the Pearl River Delta, China. Habitat International, 23 (3), 373, 1999. https://doi.org/10.1016/S0197-....
39.
SUN C., ZHANG S., SONG C., XU J., FAN F. Investigation of Dynamic Coupling Coordination between Urbanization and the Eco-Environment-A Case Study in the Pearl River Delta Area. Land, 10 (2), 2021. https://doi.org/10.3390/land10....
40.
GUAN Y., JIAO Y., ZANG C. Land Use Change in Hanjiang River Basin: Spatio-temporal Characteristics and Its Ecological Security Assessment. Chinese Agricultural Science Bulletin, 39 (20), 2023.
41.
ZHONG Y., LIN A., HE L., ZHOU Z., YUAN M. Spatiotemporal Dynamics and Driving Forces of Urban Land-Use Expansion: A Case Study of the Yangtze River Economic Belt, China. Remote Sensing, 12 (2), 2020. https://doi.org/10.3390/rs1202....
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