ORIGINAL RESEARCH
Analysis of Multi-Scale Land Use/Cover Changes
and Driving Forces in the Yellow River
Basin of Henan Province, China
More details
Hide details
1
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
2
Henan Institute of Land and Resourees Surveying and Planning, China
Submission date: 2025-01-18
Final revision date: 2025-03-03
Acceptance date: 2025-03-25
Online publication date: 2025-06-11
Corresponding author
Jundang Jiao
Henan Institute of Land and Resourees Surveying and Planning, China
KEYWORDS
TOPICS
ABSTRACT
A nuanced grasp of land use/cover changes, along with their drivers, is essential for effective land
use management and ecological restoration. A new perspective on land use/cover changes analysis was
proposed, which involves analyzing land use/cover changes and their driving forces at scales such as
regional, geomorphological (plains, hilly area and mountainous area), and territorial spatial planning
(core area and expansion collaborative area) scales based on the 2000, 2010, and 2020 land use/cover
data in the Yellow River Basin of Henan Province. The land use/cover changes were scrutinized by
employing the degree of land use/cover dynamics, transfer matrix, and change mapping model.
The key drivers at each scale were unearthed by utilizing a geo-detector. The results show that:
1) The distribution characteristics of land types under different scale areas in the Henan section of
the Yellow River Basin have obvious differences in that farmland is gathered in the plains, woodland
in the mountains, and water in the core area. 2) From the dynamic attitude, it can be seen that the land
use pattern of the plains and the core fluctuates sharply between 2000 and 2020, and the fluctuation of
the mountain area is smaller, but the construction land in the mountain area has the most drastic change,
the forest in the plains shrinks most obviously, and the core area has a large fluctuation of agricultural
land. Compared with 2000-2010, the fluctuation amplitude between 2010 and 2020 is significantly
reduced. 3) The dominant type of land change at all scales is the flow of agricultural land into
construction land, while construction land also encroaches heavily on forest land. In the whole region,
the plains and the core area, farmland also flows mainly into wetlands and waters, in the mountainous
area, farmland flows heavily into forests and grasslands, and construction land continues to encroach
on shrublands, and in the expansion and collaboration area, farmland encroaches heavily on grasslands.
4) Areas of intense land use change at all scales are concentrated in and around built-up areas.
5) The drivers of GDP and population dominate in the whole region, plains, core and extended
collaboration areas, population and slope have the greatest influence in the hilly areas, slope and
temperature play a major role in the mountainous areas, and the interactions of all factors show an increasing trend. The results of the study show that there are differences in land changes
and their drivers at different scales in the Yellow River Basin of Henan, so the overall or local
ecological restoration measures concerning the Yellow River Basin should be formulated with attention
to problem orientation, comprehensiveness of the measures, and pertinence. The spatial layout of
ecological, production, and living areas should be rationally planned according to local conditions
and the rationalization of resource utilization.
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 (66)
1.
EDWIN I.E., CHUKWUKA O., OCHEGE F.U., LING Q., CHEN B.J., NZABARINDA V., AJAERO C., HAMDI R., LUO G.P. Quantifying land change dynamics, resilience and feedback: A comparative analysis of the lake Chad basin in Africa and Aral Sea basin in Central Asia. Journal of Environmental Management. 361 (1), 121218, 2024.
https://doi.org/10.1016/j.jenv....
2.
HU Y.F. DONG Y., BATU N. An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support. Isprs Journal of Photogrammetry and Remote Sensing. 146, 347, 2018.
https://doi.org/10.1016/j.ispr....
3.
HE C., ZHANG J., LIU Z., HUANG Q. Characteristics and progress of land use/cover change research during 1990-2018. Acta Geographica Sinica. 76 (11), 2730, 2021.
https://doi.org/10.1007/s11442....
4.
NUNES C.E. Land use and land cover change implementation strategy. Stockholm, Sweden International Geosphere-Biosphere Programe, 1999.
5.
TURNER B.L., LAMBIN E.F., REENBERG A. The emergence of land change science for global environmental change and sustainability. Proceedings of the National Academy of Sciences of the United States of America. 104 (52), 20666, 2007.
https://doi.org/10.1073/pnas.0....
6.
AHMED H.A., SINGH S.K., KUMAR M., MAINA M.S., DZWAIRO R., LAL D. Impact of urbanization and land cover change on urban climate: Case study of Nigeria. Urban Climate. 32, 17, 2020.
https://doi.org/10.1016/j.ucli....
7.
PANDE C.B., MOHARIR K.N., VARADE A.M., ABDO H.G., MULLA S., YASEEN Z.M. Intertwined impacts of urbanization and land cover change on urban climate and agriculture in Aurangabad city (MS), India using google earth engine platform. Journal of Cleaner Production. 422, 18, 2023.
https://doi.org/10.1016/j.jcle....
8.
PAN Y.S., ZHANG H.B., WANG CY., ZHOU Y.D. Impact of land use change on regional carbon sink capacity: Evidence from Sanmenxia, China. Ecological Indicators. 156, 12, 2023.
https://doi.org/10.1016/j.ecol....
9.
TANG X.J., WOODCOCK C.E., OLOFSSON P., HUTYRA L.R. Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin. Remote Sensing of Environment. 256, 13, 2021.
https://doi.org/10.1016/j.rse.....
10.
WANG H.Y., WU L.S., YUE Y.S., JIN Y.Y., ZHANG B.B. Impacts of climate and land use change on terrestrial carbon storage: A multi-scenario case study in the Yellow River Basin (1992-2050)-2050). Science of the Total Environment. 930, 12, 2024.
https://doi.org/10.1016/j.scit....
11.
BAO Z.X., ZHANG J.Y., WANG G.Q., CHEN Q.W., GUAN T.S., YAN X.L., LIU C.S., LIU J., WANG J. The impact of climate variability and land use/cover change on the water balance in the Middle Yellow River Basin, China. Journal of Hydrology. 577, 13, 2019.
https://doi.org/10.1016/j.jhyd....
12.
NARANY T.S., ARIS A.Z., SEFIE A., KEESSTRA S. Detecting and predicting the impact of land use changes on groundwater quality, a case study in Northern Kelantan, Malaysia. Science of the Total Environment. 599, 844, 2017.
https://doi.org/10.1016/j.scit....
13.
CAJAIBA R.L., PÉRICO E., DA SILVA W.B., VIEIRA T.B., DALZOCHIO M.S., BASTOS R., CABRAL J.A., SANTOS M. How informative is the response of Ground Beetles' (Coleoptera: Carabidae) assemblages to anthropogenic land use changes? Insights for ecological status assessments from a case study in the Neotropics. Science of The Total Environment. 636, 1219, 2018.
https://doi.org/10.1016/j.scit....
14.
KOUFAKI T., BARBOUTIS C., THEODOROU K. Differential impact of climate and land use change on habitat suitability of migrant passerines according to habitat preferences. Anthropocene. 47, 17, 2024.
https://doi.org/10.1016/j.ance....
15.
WU H.W., WU F., CAI Y.M., LI Z.H. Assessing the spatiotemporal impacts of land use change on ecological environmental quality using a regionalized territorial impact assessment framework. Sustainable Cities and Society. 112, 13, 2024.
https://doi.org/10.1016/j.scs.....
16.
ZHANG P., WANG Q., LIU Y., ZHANG J. Potential ecological risk assessment based on loss of ecosystem services due to land use and land cover change: A case study of Beijing-Tianjin-Hebei region. Applied Geography. 171, 103389, 2024.
https://doi.org/10.1016/j.apge....
17.
JIANG W., YUAN L., WANG W., CAO R., ZHANG Y., SHEN W. Spatio-temporal analysis of vegetation variation in the Yellow River Basin. Ecological Indicators. 51, 117, 2015.
https://doi.org/10.1016/j.ecol....
18.
RU X.T., QIAO L.X., ZHANG H.P., BAI T.Q., MIN R.Q., WANG Y.B., WANG Q.F., SONG H.Q. Effects of land use and land cover change under shared socioeconomic pathways on future climate in the Yellow River basin, China. Urban Climate. 55, 15, 2024.
https://doi.org/10.1016/j.ucli....
19.
YANG S.T., LIU C.M., SUN R. The vegetation cover over last 20 years in Yellow River basin. Acta Geographica Sinica. 57 (6), 679, 2002.
20.
NIU H., XIU Z., XIAO D. Impact of land-use change on ecological vulnerability in the Yellow River Basin based on a complex network model. Ecological Indicators. 166, 112212, 2024.
https://doi.org/10.1016/j.ecol....
21.
ZHOU Z.C., GAN Z.T., SHANGGUAN Z.P., DONG Z.B. China's Grain for Green Program has reduced soil erosion in the upper reaches of the Yangtze River and the middle reaches of the Yellow River. International Journal of Sustainable Development and World Ecology. 16 (4), 234, 2009.
https://doi.org/10.1080/135045....
22.
CUI J., ZHU M.S., LIANG Y., QIN G.J., LI J., LIU Y.H. Land Use/Land Cover Change and Their Driving Factors in the Yellow River Basin of Shandong Province Based on Google Earth Engine from 2000 to 2020. Isprs International Journal of Geo-Information. 11 (3), 18, 2022.
https://doi.org/10.3390/ijgi11....
23.
RONG T.Q., ZHANG P.Y., JING W.L., ZHANG Y., LI Y.Y., YANG D., YANG J.X., CHANG H., GE L.N. Carbon Dioxide Emissions and Their Driving Forces of Land Use Change Based on Economic Contributive Coefficient (ECC) and Ecological Support Coefficient (ESC) in the Lower Yellow River Region (1995-2018). Energies. 13 (10), 18, 2020.
https://doi.org/10.3390/en1310....
24.
ZHOU X., WU D., LI J., LIANG J., ZHANG D., CHEN W. Cultivated land use efficiency and its driving factors in the Yellow River Basin, China. Ecological Indicators. 144, 109411, 2022.
https://doi.org/10.1016/j.ecol....
25.
CHE X.C., JIAO L., QIN H.J., WU J.J. Impacts of Climate and Land Use/Cover Change on Water Yield Services in the Upper Yellow River Basin in Maqu County. Sustainability. 14 (16), 21, 2022.
https://doi.org/10.3390/su1416....
26.
DU L.D., DONG C., KANG X.C., QIAN X.L., GU L.X. Spatiotemporal evolution of land cover changes and landscape ecological risk assessment in the Yellow River Basin, 2015-2020. Journal of Environmental Management. 332, 16, 2023.
https://doi.org/10.1016/j.jenv....
27.
QU Y.B., ZONG H.N., SU D.S., PING Z.L., GUAN M. Land Use Change and Its Impact on Landscape Ecological Risk in Typical Areas of the Yellow River Basin in China. International Journal of Environmental Research and Public Health. 18 (21), 26, 2021.
https://doi.org/10.3390/ijerph....
28.
REN S.M., ZHAO H., ZHANG H.L., WANG F.Q., YANG H. Influence of Natural and Social Economic Factors on Landscape Pattern Indices-The Case of the Yellow River Basin in Henan Province. Water. 15 (23), 25, 2023.
https://doi.org/10.3390/w15234....
29.
DING J., JIANG Y., LIU Q., HOU Z.J., LIAO J.Y., FU L., PENG Q.Z. Influences of the land use pattern on water quality in low-order streams of the Dongjiang River basin, China: A multi-scale analysis. Science of the Total Environment. 551, 205, 2016.
https://doi.org/10.1016/j.scit....
30.
JIA W.Q., GU X.F., MI X.F., YANG J., ZANG W.Q., LIU P.Z., YAN J., ZHU H., ZHANG X., ZHANG Z. MultiScale Spatiotemporal Pattern Analysis and Simulation (MSPAS) Model with Driving Factors for Land Cover Change and Sustainable Development Goals: A Case Study of Nepal. Remote Sensing. 14 (24), 25, 2022.
https://doi.org/10.3390/rs1424....
31.
ZHAO J.S., YUAN L., ZHANG M. A study of the system dynamics coupling model of the driving factors for multiscale land use change. Environmental Earth Sciences. 75 (6), 13, 2016.
https://doi.org/10.1007/s12665....
32.
BAI S., ZHANG Y., CHEN Y., ZHOU D. Exploration and Analysis of Ecological Restoration Planning Establishment at Provincial Level Territorial Space:A Case of Henan Province. Areal Research and Development. 42 (1), 38, 2023.
33.
RUAN X.F., QIU F., DYCK M. The effects of environmental and socioeconomic factors on land-use changes: a study of Alberta, Canada. Environmental Monitoring and Assessment. 188 (8), 31, 2016.
https://doi.org/10.1007/s10661....
34.
ZHU Z.Q., LIU L.M., CHEN Z.T., ZHANG J.L., VERBURG P.H. Land-use change simulation and assessment of driving factors in the loess hilly region-a case study as Pengyang County. Environmental Monitoring and Assessment. 164 (1-4), 133, 2010.
https://doi.org/10.1007/s10661....
35.
CHENG Y., CHEN Y. Spatial and Temporal Characteristics of Land Use Changes in the Yellow River Basin from 1990 to 2021 and Future Predictions. Land. 13 (9), 1510, 2024.
https://doi.org/10.3390/land13....
36.
ZHANG H., DENG W., WANG Y. Analyses on the spatiotemporal evolution and driving factors of land use in India during 2000-2020. World Regional Studies. 31 (4), 786, 2022.
37.
ZHANG W., LV X., SHI Y., SUN P., ZHANG Y. Graphic Characteristics of Land Use Transition in the Yellow River Basin. China Land Science. 34 (8), 80, 2020.
38.
ZHANG X., LIU L., CHEN X., GAO Y., XIE S., MI J. GLC_FCS30: global land-cover product with fine classification system at 30m using time-series Landsat imagery. Earth System Science Data. 13 (6), 2753, 2021.
https://doi.org/10.5194/essd-1....
39.
LI J., DONG S., LI Y., YANG Y., TAMIR B. The pattern and driving factors of land use change in the ChinaMongolia-Russia economic corridor. Geographical Research. 40 (11), 3073, 2021.
40.
ZHANG R., WANG Y., CHANG J., LI Y. Response of land use change to human activities in the Yellow River Basin based on water resources division. Journal of Natural Resources. 34 (2), 274, 2019.
https://doi.org/10.31497/zrzyx....
41.
CHEN W., LI J., RAN D. On the Spatial elationship Between Land Use Transition and Urbanization in the Middle Yangtze River Urban Cluster. Resources and Environment in the Yangtze Basin. 28 (5), 1036, 2019.
42.
LI J.Y., ZHENG X.Q., ZHANG C.X., CHEN Y.M. Impact of Land-Use and Land-Cover Change on Meteorology in the Beijing-Tianjin-Hebei Region from 1990 to 2010. Sustainability. 10 (1), 22, 2018.
https://doi.org/10.3390/su1001....
43.
WEI X., YANG J., LUO P., LIN L., LIN K., GUAN J. Assessment of the variation and influencing factors of vegetation NPP and carbon sink capacity under different natural conditions. Ecological Indicators. 138, 108834, 2022.
https://doi.org/10.1016/j.ecol....
44.
LI Z., LIU W., ZHENG F. The land use changes and its relationship with topographic factors in the Jing river catchment on the Loess Plateau of China. SpringerPlus. 2 (1), S3, 2013.
https://doi.org/10.1186/2193-1....
45.
PETERS M.K., HEMP A., APPELHANS T., BECKER J.N., BEHLER C., CLASSEN A., DETSCH F., ENSSLIN A., FERGER S.W., FREDERIKSEN S.B., GEBERT F., GERSCHLAUER F., GÜTLEIN A., HELBIG-BONITZ M., HEMP C., KINDEKETA W.J., KÜHNEL A., MAYR A.V., MWANGOMO E., NGEREZA C., NJOVU H.K., OTTE I., PABST H., RENNER M., RÖDER J., RUTTEN G., SCHELLENBERGER COSTA D., SIERRA-CORNEJO N., VOLLSTÄDT M.G.R., DULLE H.I., EARDLEY C.D., HOWELL K.M., KELLER A., PETERS R.S., SSYMANK A., KAKENGI V., ZHANG J., BOGNER C., BÖHNING-GAESE K., BRANDL R., HERTEL D., HUWE B., KIESE R., KLEYER M., KUZYAKOV Y., NAUSS T., SCHLEUNING M., TSCHAPKA M., FISCHER M., STEFFAN-DEWENTER I. Climate-land-use interactions shape tropical mountain biodiversity and ecosystem functions. Nature. 568 (7750), 88, 2019.
https://doi.org/10.1038/s41586....
46.
GUO Y.J., CHENG L.R., DING A.Z., YUAN Y.M., LI Z.Y., HOU Y.Z., REN L.S., ZHANG S.R. Geodetector model-based quantitative analysis of vegetation change characteristics and driving forces: A case study in the Yongding River basin in China. International Journal of Applied Earth Observation and Geoinformation. 132, 15, 2024.
https://doi.org/10.1016/j.jag.....
47.
WANG J.F., XU C. Geodetector: Principle and prospective. Acta Geographica Sinica. 72 (1), 116, 2017.
48.
ZHU M., YU X., CHEN K., TAN H., YUAN J. Spatiotemporal characteristics and driving factors of chemical oxygen demand emissions in China's wastewater: An analysis based on spatial autocorrelation and geodetector. Ecological Indicators. 166, 112308, 2024.
https://doi.org/10.1016/j.ecol....
49.
DU Z., YU L., CHEN X., GAO B., YANG J., FU H., GONG P. Land use/cover and land degradation across the Eurasian steppe: Dynamics, patterns and driving factors. Science of The Total Environment. 909, 168593, 2024.
https://doi.org/10.1016/j.scit....
50.
RAN Q.W., HAO Y.B., XIA A.Q., LIU W.J., HU R.H., CUI X.Y., XUE K., SONG X. N., XU C., DING B.Y., WANG Y.F. Quantitative Assessment of the Impact of Physical and Anthropogenic Factors on Vegetation SpatialTemporal Variation in Northern Tibet. Remote Sensing. 11 (10), 22, 2019.
https://doi.org/10.3390/rs1110....
52.
WANG J.F., LI X.H., CHRISTAKOS G., LIAO Y.L., ZHANG T., GU X., ZHENG X.Y. Geographical DetectorsBased Health Risk Assessment and its Application in the Neural Tube Defects Study of the Heshun Region, China. International Journal of Geographical Information Science. 24 (1), 107, 2010.
https://doi.org/10.1080/136588....
53.
GUO P., ZHANG F., WANG H. The response of ecosystem service value to land use change in the middle and lower Yellow River: A case study of the Henan section. Ecological Indicators. 140, 109019, 2022.
https://doi.org/10.1016/j.ecol....
54.
NIU H.P., ZHAO X.M., XIAO D.Y., LIU M.M., AN R., FAN L.X. Evolution and Influencing Factors of Landscape Pattern in the Yellow River Basin (Henan Section) Due to Land Use Changes. Water. 14 (23), 27, 2022.
https://doi.org/10.3390/w14233....
55.
WANG X.W., CHENG H. Dynamic changes of cultivated land use and grain production in the lower reaches of the Yellow River based on GlobeLand30. Frontiers in Environmental Science. 10, 17, 2022.
https://doi.org/10.3389/fenvs.....
56.
SEN G., BAYRAMOGLU M.M., TOKSOY D. Spatiotemporal changes of land use patterns in high mountain areas of Northeast Turkey: a case study in Macka. Environmental Monitoring and Assessment. 187 (8), 14, 2015.
https://doi.org/10.1007/s10661....
57.
UPTON V., O'DONOGHUE C., RYAN M. The physical, economic and policy drivers of land conversion to forestry in Ireland. Journal of Environmental Management. 132, 79, 2014.
https://doi.org/10.1016/j.jenv....
58.
XIE H.L., LIU Z.F., WANG P., LIU G.Y., LU F.C. Exploring the Mechanisms of Ecological Land Change Based on the Spatial Autoregressive Model: A Case Study of the Poyang Lake Eco-Economic Zone, China. International Journal of Environmental Research and Public Health. 11 (1), 583, 2014.
https://doi.org/10.3390/ijerph....
59.
KLEEMANN J., BAYSAL G., BULLEY H.N.N., FURST C. Assessing driving forces of land use and land cover change by a mixed-method approach in northeastern Ghana, West Africa. Journal of Environmental Management. 196, 411, 2017.
https://doi.org/10.1016/j.jenv....
60.
DI X.H., HOU X.Y., WANG Y.D., WU L. Spatial-temporal Characteristics of Land Use Intensity of Coastal Zone in China During 2000-2010. Chinese Geographical Science. 25 (1), 51, 2015.
https://doi.org/10.1007/s11769....
61.
LU L., GUO L., ZHAO S.T. Land use and land cover change on slope in Qiandongnan prefecture of Southwest China. Journal of Mountain Science. 11 (3), 762, 2014.
https://doi.org/10.1007/s11629....
62.
SHUI W., XU G.W. Analysis of the influential factors for changes to land use in China's Xingwen Global Geopark against a tourism development background. Geocarto International. 31 (1), 22, 2016.
https://doi.org/10.1080/101060....
63.
LI H.Y., ZHU M.Y., WANG Z.J., HONG J.R., WANG Y. Synergy level of urban resilience and urban land use efficiency in the Yellow River Basin: Spatial-temporal evolution characteristics and driving factors. Heliyon. 10 (10), 15, 2024.
https://doi.org/10.1016/j.heli....
64.
YANG H.F., ZHOU H., DENG S.Q., ZHOU X., NIE S.A. Spatiotemporal Variation of Ecosystem Services Value and its Response to Land Use Change in the Yangtze River Basin, China. International Journal of Environmental Research. 18 (2), 21, 2024.
https://doi.org/10.1007/s41742....
65.
DE ROO A., SCHMUCK G., PERDIGAO V., THIELEN J. The influence of historic land use changes and future planned land use scenarios on floods in the Oder catchment. Physics and Chemistry of the Earth. 28 (33-36), 1291, 2003.
https://doi.org/10.1016/j.pce.....
66.
WHITEHEAD P.G., CROSSMAN J., BALANA B.B., FUTTER M.N., COMBER S., JIN L., SKURAS D., WADE A.J., BOWES M.J., READ D.S. A cost-effectiveness analysis of water security and water quality: impacts of climate and land-use change on the River Thames system. Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences. 371 (2002), 16, 2013.
https://doi.org/10.1098/rsta.2....