Spatiotemporal evolution of desert landscape patterns in China: New characteristics, opportunities, and sustainable challenges

Xingyao Wu , Huishi Du , Eerdun Hasi

Geography and Sustainability ›› 2026, Vol. 7 ›› Issue (4) : 100494

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Geography and Sustainability ›› 2026, Vol. 7 ›› Issue (4) :100494 DOI: 10.1016/j.geosus.2026.100494
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Spatiotemporal evolution of desert landscape patterns in China: New characteristics, opportunities, and sustainable challenges
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Abstract

As highly sensitive geographical units, deserts require timely monitoring of landscape pattern evolution. This study employed the Google Earth Engine (GEE) platform and Landsat imagery, combined with deep learning, to analyse the spatiotemporal changes in China’s desert landscapes from 1980 to 2024. Findings reveal that over the 45-year period, desert landscapes exhibited a coexistence of expansion and partial reversal. Sandy area increased by 38,332.60 km2, rising from 62.74 % to 67.42 % of the study region, while grassland area decreased by 42,537.31 km2, representing a net loss of 5.57 %. The period 2000–2010 was marked by accelerated desertification, with an annual sandy area expansion rate of 0.725 % -45 times the rate before 2000. However, from 2010 to 2024, sandy area decreased for the first time, by 0.21 %, and the proportion of semi-fixed and fixed dunes increased to 6.61 %, indicating that ecological restoration has gradually become effective. Spatially, western and central deserts remain fragile and are dominated by mobile dunes, while eastern sandy lands show higher vegetation coverage due to engineering and agricultural interventions. Human activities (54.46 %) contributed more to landscape changes than climatic factors (45.54 %), though seasonal cropland may cause “false greening”, potentially overstating restoration success. Future desert management presents opportunities through solar energy and characteristic industries, but caution is needed to avoid secondary risks from photovoltaic projects. Sustainable development in China’s desert regions should therefore be guided by water availability and differentiated zonal strategies -for instance, balancing solar energy and specialty industry expansion with safeguards against photovoltaic-related risks -to reconcile ecological restoration with economic needs.

Keywords

Desert landscape / Driving factors / Sustainable development

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Xingyao Wu, Huishi Du, Eerdun Hasi. Spatiotemporal evolution of desert landscape patterns in China: New characteristics, opportunities, and sustainable challenges. Geography and Sustainability, 2026, 7 (4) : 100494 DOI:10.1016/j.geosus.2026.100494

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References

[1]

Bryan, B.A., Gao, L., Ye, Y.Q., Sun, X.F., Connor, J.D., Crossman, N.D., Stafford-Smith, M., Wu, J.G., He, C.Y., Yu, D.Y., Liu, Z.F., Li, A., Huang, Q.X., Ren, H., Deng, X.Z., Zheng, H., Niu, J.M., Han, G.D., Hou, X.Y., 2018. China’s response to a national land-system sustainability emergency. Nature 559 (7713), 193-204. doi: 10.1038/s41586-018-0280-2.

[2]

Chen, C., Park, T., Wang, X.H., Piao, S.L., Xu, B.D., Chaturvedi, R.K., Fuchs, R., Brovkin, V., Ciais, P., Fensholt, R., Tømmervik, H., Bala, G., Zhu, Z.C., Nemani, R.R., Myneni, R.B., 2019. China and India lead in greening of the world through land-use management. Nat. Sustain. 2 (2), 122-129. doi: 10.1038/s41893-019-0220-7.

[3]

Chen, H., Qi, S.Z., Tan, X.J., 2022. Decomposition and prediction of China’s carbon emission intensity towards carbon neutrality: from perspectives of national, regional and sectoral level. Sci. Total Environ. 825, 153839. doi: 10.1016/j.scitotenv.2022.153839.

[4]

Chen, Y., Lu, H.Y., Wu, H.J., Wang, J.J., Lyu, N.N., 2023. Global desert variation under climatic impact during 1982-2020. Sci. China Earth. Sci. 66 (5), 1062-1071. doi: 10.1007/s11430-022-1052-1.

[5]

Dong, Z.B., Lyu, P., 2020. Development of aeolian geomorphology in China in the past 70 years. Acta Geogr. Sin. 75 (3), 509-528. doi: 10.11821/dlxb202003006, (in Chinese).

[6]

Dou, Y.Q., Zhang, H.Q., Sun, H., Lin, H., Liu, Y., Zhang, M., 2026. High-resolution annual desertification mapping in northern China using a novel comprehensive desertification index and unsupervised algorithm. Remote Sens. Environ. 334, 115230. doi: 10.1016/j.rse.2025.115230.

[7]

Du, H.S., Hasi, E., 2022. Sandy land-lake-vegetation landscape of Songnen sandy land of China: pattern, process and mechanism. Chin. Geogr. Sci. 32 (4), 580-591. doi: 10.1007/s11769-022-1287-z.

[8]

Du, H.S., Hasi, E., Wang, Z.M., 2017. Boundary delimitation and characteristics of aeolian sand landform in Horqin sandy land. J. Beijing Norm. Univ. Nat. Sci. 53 (1), 33-37. doi: 10.16360/j.cnki.jbnuns.2017.01.007, (in Chinese).

[9]

Gao, J., Xu, M., Zhao, X., 2025. Growing under the Green Great Wall: agricultural and environmental impacts of China’s Three-North Shelterbelt Program. AIIB Working Paper 17 Asian Infrastructure Investment Bank, Beijing.

[10]

Halmy, M.W.A., Gessler, P.E., Hicke, J.A., Salem, B.B., 2015. Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA. Appl. Geogr. 63, 101-112. doi: 10.1016/j.apgeog.2015.06.015.

[11]

Hill, M.J., Guerschman, J.P., 2022. Global trends in vegetation fractional cover: hotspots for change in bare soil and non-photosynthetic vegetation. Agric. Ecosyst. Environ. 324, 107719. doi: 10.1016/j.agee.2021.107719.

[12]

Hou, C., Huang, D., Gui, D., Liu, Y., 2023. Spatiotemporal variations of climate extremes and influential factors in deserts and sandy fields of northern China from 1961 to 2019. Sci. Geogr. Sin. 43 (8), 1495-1505. doi: 10.13249/j.cnki.sgs.2023.08.018, (in Chinese).

[13]

Huang, K., Zhang, Y.J., Zhu, J.T., Liu, Y.J., Zu, J.X., Zhang, J., 2016. The influences of climate change and human activities on vegetation dynamics in the Qinghai-Tibet Plateau. Remote Sens. 8 (10), 876. doi: 10.3390/rs8100876.

[14]

IPCC, 2023. Climate Change 2023: synthesis report. In: Lee, H., Romero, J. (Eds.), Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, Geneva, Switzerland doi: 10.59327/IPCC/AR6-9789291691647.

[15]

Jiang, J., Gao, X., 2022. Research progress on climate effect and influence mechanism of photovoltaic systems. Plateau Meteorol. 41 (4), 953-962. doi: 10.7522/j.issn.1000-0534.2022.00077, (in Chinese).

[16]

Kammerer, M., Iverson, A.L., Li, K., Goslee, S.C., 2024. Not just crop or forest: an integrated land cover map for agricultural and natural areas. Sci. Data 11 (1), 137. doi: 10.1038/s41597-024-02979-w.

[17]

Kang, J., Ding, R.S., Chen, J.L., Wu, S.Y., Gao, W.C., Wen, Z.L., Tong, L., Du, T.S., 2025. Crop root system phenotyping with high water-use efficiency and its targeted precision regulation: present and prospect. Agric. Water Manag. 309, 109327. doi: 10.1016/j.agwat.2025.109327.

[18]

Lan, L.H., Wang, Z.B., He, F., 2025. Land cover change as a critical driver of vegetation restoration in water-scarce northern China. Remote Sens. 17 (17), 3010. doi: 10.3390/rs17173010.

[19]

Li, C.J., Abulimiti, M., Fan, J.L., Wang, H.F., 2022. Ecologic service, economic benefits, and sustainability of the man-made ecosystem in the Taklamakan Desert. Front. Environ. Sci. 10, 813932. doi: 10.3389/fenvs.2022.813932.

[20]

Li, J.Y., Li, Y., Wang, X.H., Ma, Z.X., 2024. Exploring the spatial-temporal patterns, drivers, and response strategies of desertification in the Mu Us Desert from multiple regional perspectives. Sustainability 16 (21), 9154. doi: 10.3390/su16219154.

[21]

Li, J.Q., Li, Z.L., Dong, S.P., Wei, M.H., Zhou, J.Y., 2021. Spatial and temporal changes in vegetation and desertification (1982-2018) and their responses to climate change in the Ulan Buh Desert, Northwest China. Theor. Appl. Climatol. 143 (3), 1643-1654. doi: 10.1007/s00704-021-03522-2.

[22]

Li, J.Y., De Philippe, P., Chen, X., Van de Voorde, T., Li, Y.M., 2026. A novel dual-threshold assessment method for formulating land degradation neutrality priority governance strategies in Central Asia under SDG 15.3.1. Environ. Impact. Assess. Rev. 116, 108116. doi: 10.1016/j.eiar.2025.108116.

[23]

Liang, Z.H., Liu, Y., 2015. Land use/land cover changes and mechanics at the southern boundary area of Tengger Desert in the past 20 years -a case study for Bingcaowan, Gulang County, Gansu Province, China. Remote Sens. Technol. Appl. 30 (2), 383-390. doi: 10.11873/j.issn.1004.0323.2015.2.0383.

[24]

Liu, H.Z., Wang, H., Nong, H.Z., He, Y.T., Chen, Y.L., Wang, H.L., Yu, M., 2024. Opportunities and implementation pathway for China’s forestry development under the “Dual carbon” strategy. Carbon Res. 3 (1), 59. doi: 10.1007/s44246-024-00144-x.

[25]

Lu, C., Zhang, Q., Woolway, R.I., Ma, L., Liu, T.X., Wang, G., Sun, D.L., Singh, V.P., Bai, Y.G., Sun, B.L., Huang, X., 2025b. Global warming will increase the risk of water shortage in Northwest China. Earths Future 13 (5), e2025EF006199. doi: 10.1029/2025EF006199.

[26]

Lu, Y., Kong, F.B., Xu, C.Y., 2025a. The impact of China’s grain for green program on farmer’s income: a systematic review and meta-analysis. Ecol. Front. 45 (5), 1165-1178. doi: 10.1016/j.ecofro.2025.06.014.

[27]

Sarlak, M., Ferretti, L.V., Biasi, R ., 2021. The productive landscape in the desert margin for the sustainable development of rural settlements: an innovative greenbelt for Maranjab Desert in Iran. Sustainability 13 (4), 2077. doi: 10.3390/su13042077.

[28]

Meng, X.Y., Li, S.Y., Akhmadi, K., He, P.X., Dong, G.P., 2024. Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model. GISci. Remote Sens. 61 (1), 2367806. doi: 10.1080/15481603.2024.2367806.

[29]

Mu, X.H., Yang, Y., Xu, H., Guo, Y.H., Lai, Y.K., McVicar, T.R., Xie, D.H., Yan, G.J., 2024. Improvement of NDVI mixture model for fractional vegetation cover estimation with consideration of shaded vegetation and soil components. Remote Sens. Environ. 314, 114409. doi: 10.1016/j.rse.2024.114409.

[30]

Moghazy, N.H., Kaluarachchi, J.J., 2020. Sustainable agriculture development in the Western Desert of Egypt: a case study on crop production, profit, and uncertainty in the Siwa Region. Sustainability 12 (16), 6568. doi: 10.3390/su12166568.

[31]

Voosen, P., 2024. Massive solar farms could provoke rainclouds in the desert: updrafts from dark solar panels could fuel storms. Science 383 (6684), 690. doi: 10.1126/science.ado6441.

[32]

Ren, Y., Zhang, B., Chen, X.D., Liu, X.J., 2024. Analysis of spatial-temporal patterns and driving mechanisms of land desertification in China. Sci. Total Environ. 909, 168429. doi: 10.1016/j.scitotenv.2023.168429.

[33]

Shao, Y.K., Liu, Y.F., Ma, T.T., Sun, L.H., Yang, X.H., Li, X.S., Wang, A.A., Wang, Z.C., 2023. Conservation effectiveness assessment of the three northern protection forest project area. Forests 14 (11), 2121. doi: 10.3390/f14112121.

[34]

Sun, F., Wang, Y., Chen, Y.N., Li, Y.P., Zhang, Q.F., Qin, J.X., Kayumba, P.M., 2021. Historic and simulated desert-oasis ecotone changes in the arid Tarim River Basin, China. Remote Sens. 13 (4), 647. doi: 10.3390/rs13040647.

[35]

Suo, X.H., Cao, S.X., 2021. China’s three north shelter forest program: cost-benefit analysis and policy implications. Environ. Dev. Sustain. 23 (10), 14605-14618. doi: 10.1007/s10668-021-01260-z.

[36]

Tal, A., 2016. Rethinking the sustainability of Israel’s irrigation practices in the drylands. Water Res. 90, 387-394. doi: 10.1016/j.watres.2015.12.016.

[37]

Wang, J.F., Wang, Y.Q., Xu, D.Y., 2024a. Desertification in northern China from 2000 to 2020: the spatial-temporal processes and driving mechanisms. Ecol. Inform. 82, 102769. doi: 10.1016/j.ecoinf.2024.102769.

[38]

Wang, L., Hou, C.Z., Pang, X.H., Zhang, H.C., Yizhaq, H., Mason, J.A., Lu, H.Y., Xu, Z.W., 2025a. Slowdown of dune migration in East Asia’s inland deserts: a 35-year response to wind stilling. Geophys. Res. Lett. 52 (16), e2024GL113506. doi: 10.1029/2024GL113506.

[39]

Wang, M., Dong, Z.B., Luo, W.Y., Lu, J.F., Li, J.Y., 2015. Spatial variability of vegetation characteristics, soil properties and their relationships in and around China’s Badain Jaran Desert. Environ. Earth. Sci. 74 (9), 6847-6858. doi: 10.1007/s12665-015-4685-z.

[40]

Wang, W.H., Chen, Y.N., Wang, W.R., 2020. Groundwater recharge in the oasis-desert areas of northern Tarim Basin, Northwest China. Hydrol. Res. 51 (6), 1506-1520. doi: 10.2166/nh.2020.071.

[41]

Wang, X.M., Ge, Q.S., Geng, X., Wang, Z.S., Gao, L., Bryan, B.A., Chen, S.Q., Su, Y.N., Cai, D.W., Ye, J.S., Sun, J.M., Lu, H.Y., Che, H.Z., Cheng, H., Liu, H.Y., Liu, B.L., Dong, Z.B., Cao, S.X., Hua, T., Chen, S.Y., Sun, F.B., Luo, G.P., Wang, Z.T., Hu, S., Xu, D.Y., Chen, M.X., Li, D.F., Liu, F., Xu, X.L., Han, D.M., Zheng, Y., Xiao, F.Y., Li, X.B., Wang, P., Chen, F.H., 2023. Unintended consequences of combating desertification in China. Nat. Commun. 14, 1139. doi: 10.1038/s41467-023-36835-z.

[42]

Wang, Y.M., Liu, B.L., Xing, Y., Peng, H.W., Wu, H., Zhong, J.P., 2024b. Ecological construction status of photovoltaic power plants in China’s deserts. Front. Environ. Sci. 12, 1406546. doi: 10.3389/fenvs.2024.1406546.

[43]

Wang, Y., Liu, X.M., Hasi, E., 2019. Internet plus sand industry: new exploration on industrialization of desert management. J. Lanzhou Univ. Soc. Sci. 47 (3), 167-174. doi: 10.13885/j.issn.1000-2804.2019.03.019, (in Chinese).

[44]

Wang, Y.T., Tong, X.J., Li, J., Yang, M.X., Wang, Y., 2025b. Impacts of climate change and human activities on vegetation productivity in China. Remote Sens. 17 (10), 1724. doi: 10.3390/rs17101724.

[45]

Wu, W., Chen, H., Li, C., Lu, G., Ye, D.L., Ma, C., Ren, L., Li, G.D., 2024. Assessment of the ecological and environmental effects of large-scale photovoltaic development in desert areas. Sci. Rep. 14, 22456. doi: 10.1038/s41598-024-72860-8.

[46]

Xia, Z.L., Li, Y.J., Zhang, W., Chen, R.S., Guo, S.C., Zhang, P., Du, P.J., 2022. Solar photovoltaic program helps turn deserts green in China: evidence from satellite monitoring. J. Environ. Manag. 324, 116338. doi: 10.1016/j.jenvman.2022.116338.

[47]

Xing, Y.X., Chen, Y., Yan, S.R., Cao, X.Y., Zhou, Y., Zhang, X.Y., Shi, T.L., Niu, X.Y., Wu, D.Y., Cui, J.C., Zhou, Y., Wang, X., Pu, W., 2024. Dust storms from the Taklamakan Desert significantly darken snow surface on surrounding mountains. Atmos. Chem. Phys. 24 (9), 5199-5219. doi: 10.5194/acp-24-5199-2024.

[48]

Xu, D.Y., Wang, Y.Q., Wang, J.F., 2024a. A review of social-ecological system vulnerability in desertified regions: assessment, simulation, and sustainable management. Sci. Total Environ. 931, 172604. doi: 10.1016/j.scitotenv.2024.172604.

[49]

Xu, Z.H., Li, Y.F., Li, B., Hao, Z.B., Lin, L.L., Hu, X.Y., Zhou, X., Yu, H., Xiang, S.Y., Pascal, M.L.F., Shen, W.L., He, A.Q., Chen, L.Y., Li, Z.L., 2023. A comparative study on the applicability and effectiveness of NSVI and NDVI for estimating fractional vegetation cover based on multi-source remote sensing image. Geocarto Int. 38 (1), 2184501. doi: 10.1080/10106049.2023.2184501.

[50]

Xu, Z.J., Li, Y., Qin, Y.Z., Bach, E., 2024b. A global assessment of the effects of solar farms on albedo, vegetation, and land surface temperature using remote sensing. Sol. Energy 268, 112198. doi: 10.1016/j.solener.2023.112198.

[51]

Yang, J.T., Yang, K., Wang, C.H., 2023. How desertification in northern China will change under a rapidly warming climate in the near future (2021-2050). Theor. Appl. Climatol. 151 (1), 935-948. doi: 10.1007/s00704-022-04315-x.

[52]

Yin, J., Wu, B., Hasi, E., Jia, X.H., Su, Z.Z., Pang, Y.J., Fei, B.Q., Zhang, L.G., Xiu, X.M., 2025. Grain size distribution patterns and influencing factors of surface sediments in deserts and sandy lands in China. Catena 256, 109051. doi: 10.1016/j.catena.2025.109051.

[53]

Zeng, Z.Z., Piao, S.L., Li, L.Z.X., Zhou, L.M., Ciais, P., Wang, T., Li, Y., Lian, X., Wood, E.F., Friedlingstein, P., Mao, J.F., Estes, L.D., Myneni, R.B., Peng, S.S., Shi, X.Y., Seneviratne, S.I., Wang, Y.P., 2017. Climate mitigation from vegetation biophysical feedbacks during the past three decades. Nat. Clim. Chang. 7 (6), 432-436. doi: 10.1038/nclimate3299.

[54]

Zhao, H.Y., Zhai, X.H., Li, S., Wang, Y.H., Xie, J.L., Yan, C.Z., 2023. The continuing decrease of sandy desert and sandy land in northern China in the latest 10 years. Ecol. Indic. 154, 110699. doi: 10.1016/j.ecolind.2023.110699.

[55]

Zhang, H.Y., Liu, G.H., Hao, H.G., Liu, S.F., 2014. Review, assessment and recommendations on environmental policies in Western China. Chin. J. Popul. Resour. Environ. 12 (1), 42-51. doi: 10.1080/10042857.2013.874521.

[56]

Zhang, X., Liu, L.Y., Zhao, T.T., Gao, Y., Chen, X.D., Mi, J., 2022. GISD30: global 30 m impervious-surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform. Earth. Syst. Sci. Data 14 (4), 1831-1856. doi: 10.5194/essd-14-1831-2022.

[57]

Zhao, S., Ding, J.L., Wang, J.J., Ge, X.Y., Han, L.J., Wang, R.M., Qin, S.F., 2024. Central Asia’s desertification challenge: recent trends and drives explored with google earth engine. J. Clean. Prod. 460, 142595. doi: 10.1016/j.jclepro.2024.142595.

[58]

Zhao, W.C., Liu, L.W., Chen, J., Ji, J.F., 2019. Geochemical characterization of major elements in desert sediments and implications for the Chinese loess source. Sci. China Earth. Sci. 62 (9), 1428-1440. doi: 10.1007/s11430-018-9354-y.

[59]

Zheng, X., Zhu, J.J., Wang, G.G., Yan, Q.L., Sun, T., Song, L.N., Gao, T., Sun, Y.R., Li, X.F., Yang, K., Zhang, J.X., Yu, L.Z., Qi, K., Zhao, L.L., Lu, D.L., Lu, Z.Y., 2025. Assessing the ecological effects of the World’s largest forestry eco-engineering: Three-North Protective Forest Program within the initially scheduled range from 1978 to 2022. Sci. China Life Sci. 68 (2), 314-327. doi: 10.1007/s11427-024-2705-4.

[60]

Zhu, H.H., Du, M.L., Yin, X.J., 2023. Oasification in arid and semi-arid regions of China: new changes and re-examination. Sustainability 15 (4), 3335. doi: 10.3390/su15043335.

[61]

Zhu, Z.C., Piao, S.L., Myneni, R.B., Huang, M.T., Zeng, Z.Z., Canadell, J.G., Ciais, P., Sitch, S., Friedlingstein, P., Arneth, A., Cao, C.X., Cheng, L., Kato, E., Koven, C., Li, Y., Lian, X., Liu, Y.W., Liu, R.G., Mao, J.F., Pan, Y.Z., Peng, S.S., Peñuelas, J., Poulter, B., Pugh, T.A.M., Stocker, B.D., Viovy, N., Wang, X.H., Wang, Y.P., Xiao, Z.Q., Yang, H., Zaehle, S., Zeng, N., 2016. Greening of the Earth and its drivers. Nat. Clim. Chang. 6 (8), 791-795. doi: 10.1038/nclimate3004.

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