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eISSN: 2083-5906
ISSN: 1230-1485
ISSN: 1230-1485
ORIGINAL RESEARCH
Spatial and Temporal Patterns and Driving Factors
of Desertification in Hulunbuir Grassland
1
College of Geographic Sciences, Inner Mongolia Normal University, Hohhot 010022, China
2
Land Use and Remediation Engineering and Technology Research Center of Inner Mongolia Autonomous Region,
Hohhot 010022, China
Submission date: 2024-08-29
Final revision date: 2025-01-17
Acceptance date: 2025-03-17
Online publication date: 2025-04-29
Publication date: 2026-06-22
Corresponding author
Pol. J. Environ. Stud. 2026;35(3):3175-3185
KEYWORDS
desertificationspatial and temporal patternsdriving factorsparameter-optimized geoprobeHulunbuir grassland
TOPICS
ABSTRACT
The Hulunbuir Grassland is located in the semi-arid region of northern China and is highly
sensitive to environmental changes, with sandy inlays within the grassland and heavy desertification
problems. However, there has been a lack of systematic research on the long-term distribution pattern
of desertification and influencing factors. This study adopted the multi-indicator fusion desertification
level extraction method to explore the temporal distribution characteristics, spatial distribution
pattern, and desertification center of the gravity migration pattern of the Hulunbuir sands and applied
the parameter optimal geographic detector to generate the optimal discretized factors from the
continuous meteorological and topographical factors to detect the main driving factors and mechanism
of desertification of Hulunbuir Grassland over its entire range. The results showed that the explanatory
power of meteorological factors was significantly stronger than that of topographic factors in the entire
area of Hulunbuir Grassland. Among meteorological factors, annual precipitation had the strongest
explanatory power for desertification; meteorological and topographic factors were nonlinearly
enhanced, and the interaction between precipitation and slope had the strongest explanatory power,
indicating that the interaction between precipitation and slope influenced vegetation and soil humidity
and thus indirectly influenced the desertification evolution process.
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 (20)
1.
LYU Y.L., SHI P.J., HAN G.Y., LIU L.Y., GUO L.L., HU X., ZHANG G.M. Desertification control practices in China. Sustainability. 12 (8), 3258, 2020. https://doi.org/10.3390/su1208....
2.
YIWEN H., ZONG L., XUEQIAN Y., JIAYING W. Desertification monitoring and early warning in context of sandy land consolidation. Transactions of the Chinese Society of Agricultural Engineering. 33 (10), 271, 2017.
3.
ZHANGNING X., WEI L., JIANGHU L., YINGXIN W., ZHENGUO W. Monitoring and assessment of desertification reversal in ecologically fragile areas: A case study of the Mu Us Sandy Land. Journal of Environmental Management. 373, 123695, 2024. https://doi.org/10.1016/j.jenv....
4.
WANLI S., FEISHENG F., KE Y., YONG Z., JIQIANG Z., JIE S. Water Chemical Characteristics and Safety Assessment of Irrigation Water in the Northern Part of Hulunbeier City, Grassland Area in Eastern China. Sustainability. 14 (23), 16068, 2022. https://doi.org/10.3390/su1423....
5.
QIUYING Z., XIAOSHENG H., PING W., MING L., YI DI., YUXUAN W., TIANTIAN P., WENJIE L., XIAO G., XIAOMING S., JUNSHENG L. Estimation, Spatiotemporal Dynamics, and Driving Factors of Grassland Biomass Carbon Storage Based on Machine Learning Methods: A Case Study of the Hulunbuir Grassland. Remote Sensing. 16 (19), 3709, 2024. https://doi.org/10.3390/rs1619....
6.
DE OLIVEIRA BARROS K., ALVARES SOARES RIBEIRO C.A., MARCATTI G.E., LORENZON A.S., MARTINS DE CASTRO N.L., DOMINGUES G.F., ROMÁRIO DE CARVALHO J., ROSA DOS SANTOS A. Markov chains and cellular automata to predict environments subject to desertification. Journal of Environmental Management. 225, 160, 2018. https://doi.org/10.1016/j.jenv....
7.
ZHANG Q., TANG H.P., CUI F.Q., DAI L.W. SPEI-based analysis of drought characteristics and trends in Hulun Buir grassland. Acta Ecologica Sinica. 39 (19), 7110, 2019 [In Chinese]. https://doi.org/10.5846/stxb20....
8.
KARAVITIS C.A., TSESMELIS D.E., OIKONOMOU P.D., KAIRIS O., KOSMAS C., FASSOULI V., RITSEMA C., HESSEL R., JETTEN V., MOUSTAKAS N., TODOROVIC B., SKONDRAS N.A., VASILAKOU C.G., ALEXANDRIS S., KOLOKYTHA E., STAMATAKOS D.V., STRICEVIC R., CHATZIGEORGIADIS E., BRANDT J., GEESON N., QUARANTA G. A desertification risk assessment decision support tool (DRAST). Catena. 187, 104413, 2020. https://doi.org/10.1016/j.cate....
9.
YANG J., HUANG X. The 30m annual land cover dataset and its dynamics in China from 1990 to 2019. Earth System Science Data. 13 (8), 3907, 2021. https://doi.org/10.5194/essd-1....
10.
WANG S.X. Research on desertification grade evaluation based on multi-source data. Shandong University of Technology. 2022 [In Chinese].
11.
FENG K., YAN C.Z., XIE J.L., QIAN D.W. Spatial-temporal evolution of aeolian desertification process in Ordos City during 1975–2015. Chinese Journal of Deserts. 38 (2), 233, 2018 [In Chinese].
12.
WANG J.F., XU C.D. Geoprobes: Principles and prospects. Journal of Geography. 72 (1), 116, 2017 [In Chinese].
13.
SONG Y.Z., WANG J.F., GE Y., XU C.D. An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data. GIScience & Remote Sensing. 57 (5), 593, 2020. https://doi.org/10.1080/154816....
14.
JIN K., WANG F., HAN J.Q., SHI S.Y., DING W.B. Impacts of climate change and human activities on vegetation NDVI changes in China from 1982 to 2015. Journal of Geography. 75 (5), 961, 2020 [In Chinese].
15.
ZHANG T.Q., YANG G., LIU F., MU Q.E., TAO L., MA Y. Land use change and ecological service value in Hulunbuir sandland from 2000 to 2020. Soil and Water Conservation Bulletin. 41 (4), 331, 2021 [In Chinese].
16.
ZHANG R.J., CHEN Y.H., ZHANG X.X., FANG X.Q., MA Q., REN L.L. Spatial-temporal pattern and driving factors of flash flood disasters in Jiangxi Province analyzed by optimal parameters-based geographical detector. Geography and Geo-Information Science. 37 (4), 72, 2021 [In Chinese].
17.
NA R.S. Characterization of spatial and temporal changes of land desertification in Hulunbuir Sandland. Inner Mongolia Normal University. 2018 [In Chinese].
18.
ROY P., PAL S.C., CHAKRABORTTY R., CHOWDHURI I., SAHA A., RUIDAS D., ISLAM A.R.M.T., ISLAM A. Climate change and geo-environmental factors influencing desertification: a critical review. Environmental Science and Pollution Research International. 2024. https://doi.org/10.1007/s11356....
19.
LI J., ZHANG C.L., LI Q., SHEN Y.P., JIA W.R., TIAN J.L. Research on vegetation dynamics in sandy land ecosystems. Journal of Beijing Normal University (Natural Science Edition). 53 (3), 323, 2017 [In Chinese].
20.
SIMPLÍCIO A.A.F., COSTA C.A.G., NAVARROHEVIA J., CARLOS D.A.J. Erosion at hillslope and micro‐basin scales in the Gilbués desertification region, Northeastern Brazil. Land Degradation & Development. 32 (3), 1487, 2020. https://doi.org/10.1002/ldr.38....
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| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
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