Abstract
In order to investigate the dynamic evolution of the sandy land-lake-vegetation landscape in Songnen Sandy Land (SSL) and its response to climate change and human activities, the distribution pattern, evolution, and driving mechanisms of the landscape were analyzed based on Landsat satellite images and meteorological and socio-economic data during 1980–2020. The results indicate that the area of sandy land exhibited an upward fluctuation during the last 40 yr, with a net increase of 251.75 km2 at an increment rate of 3.80%/10 yr. The lake area also exhibited an upward fluctuation, with a net increase of 1200.95 km2 at an increment rate of 20.42%/10 yr. Vegetation coverage decreased by 2633.30 km2, with areas of low vegetation coverage exhibiting a trend of initial decline and subsequent increase, areas of medium vegetation coverage showed an upward fluctuation, and areas of high vegetation coverage showed a trend of initial increase and subsequent decrease, with overall changes of −0.67%/yr, 1.12%/yr, and 0.17%/yr, respectively. The relationships between sandy land, lakes, and vegetation coverage were significant, with areas of sandy land and low vegetation coverage showing the strongest correlation. The dynamic evolution of landscape is controlled by regional climatic and socio-economic factors, with socio-economic factors as the first principal component contributing up to 59.64%.
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Abd El-Wahab R H, Al-Rashed A R, Al-Dousari A, 2018. Influences of physiographic factors, vegetation patterns and human-impacts on aeolian landforms in arid environment. Arid Ecosystems, 8(2): 97–110. doi: https://doi.org/10.1134/S2079096118020026
Ackerly D D, Cornwell W K, Weiss S B et al., 2015. A geographic mosaic of climate change impacts on terrestrial vegetation: which areas are most at risk. PLoS One, 10(6): e0130629. doi: https://doi.org/10.1371/journal.pone.0130629
Alamusa, Yang T T, Cao J et al., 2017. Soil moisture influences vegetation distribution patterns in sand dunes of the Horqin Sandy Land, Northeast China. Ecological Engineering, 105: 95–101. doi: https://doi.org/10.1016/j.ecoleng.2017.04.035
Al-Masrahy M A, Mountney N P, 2015. A classification scheme for fluvial-aeolian system interaction in desert-margin settings. Aeolian Research, 17: 67–88. doi: https://doi.org/10.1016/j.aeolia.2015.01.010
Amuti T, Luo G, 2014. Analysis of land cover change and its driving forces in a desert oasis landscape of southern Xinjiang, China. Solid Earth Discussions, 6(2): 1907–1947. doi: https://doi.org/10.5194/sed-6-1907-2014
An L S, Liao K H, Zhu L et al., 2021. Influence of river-lake isolation on the water level variations of Caizi Lake, lower reach of the Yangtze River. Journal of Geographical Sciences, 31(4): 551–564. doi: https://doi.org/10.1007/s11442-021-1858-4
Bishop-Taylor R, Tulbure M G, Broich M, 2018. Impact of hydroclimatic variability on regional-scale landscape connectivity across a dynamic dryland region. Ecological Indicators, 94: 142–150. doi: https://doi.org/10.1016/j.ecolind.2017.07.029
Boulanger Y, Taylor A R, Price D T et al., 2017. Climate change impacts on forest landscapes along the Canadian southern boreal forest transition zone. Landscape Ecology, 32(7): 1415–1431. doi: https://doi.org/10.1007/s10980-016-0421-7
Carlson T N, Ripley D A, 1997. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62(3): 241–252. doi: https://doi.org/10.1016/S0034-4257(97)00104-1
Chen H, Ju P J, Zhang J et al., 2020. Attribution analyses of changes in alpine grasslands on the Qinghai-Tibetan Plateau. Chinese Science Bulletin, 65(22): 2406–2418. doi: https://doi.org/10.1360/TB-2019-0619
Chen W, Li A J, Hu Y G et al., 2021. Exploring the long-term vegetation dynamics of different ecological zones in the farming-pastoral ecotone in northern China. Environmental Science and Pollution Research, 28(22): 27914–27932. doi: https://doi.org/10.1077/S11356-021-12625-2
Davies R G, Orme C D L, Olson V et al., 2006. Human impacts and the global distribution of extinction risk. Proceedings of the Royal Society B:Biological Sciences, 273(1598): 2127–2133. doi: https://doi.org/10.1098/rspb.2006.3551
Dong C Y, Wang N A, Chen J S et al., 2016. New observational and experimental evidence for the recharge mechanism of the lake group in the Alxa Desert, north-central China. Journal of Arid Environments, 124: 48–61. doi: https://doi.org/10.1016/j.jaridenv.2015.07.008
Dong Zhibao, Chen Weinan, Dong Guangrong et al., 1996. Influences of vegetation cover on the wind erosion of sandy soil. Acta Scientiae Circumstantiae, 16(4): 437–443. (in Chinese)
Du Huishi, Hasi E, Li Shuang et al., 2018a. Landscape evolution and influence factors of aeolian sand and lakes in Horqin sandy land. Scientia Geographica Sinica, 38(12): 2109–2117. (in Chinese)
Du Huishi, Wang Liangyu, Chen Zhiwen et al., 2018b. Distribution of lakes in Songnen Sandy land for 5 periods since 1980 and their changes. Wetland Science, 16(3): 352–356. (in Chinese)
El-Sheikh M A, Abbadi G A, Bianco P M, 2010. Vegetation ecology of phytogenic hillocks (nabkhas) in coastal habitats of Jal Az-Zor National Park, Kuwait: role of patches and edaphic factors. Flora — Morphology, Distribution, Functional Ecology of Plants, 205(12): 832–840. doi: https://doi.org/10.1016/j.flora.2010.01.002
Gui Zhifan, Xue Bin, Yao Shuchun et al., 2010. Responses of lakes in the Songnen Plain to climate change. Journal of Lake Sciences, 22(6): 852–861. (in Chinese)
Guo Jian, Wang Tao, Xue Xian et al., 2007. The status and causes of desertification in Songnen Sandy Land. Journal of Arid Land Resources and Environment, 21(5): 99–103. (in Chinese)
Gutman G, Ignatov A, 1998. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. International Journal of Remote Sensing, 19(8): 1533–1543. doi: https://doi.org/10.1080/014311698215333
He Wei, Bu Rencang, Xiong Zaiping et al., 2013. Characteristics of temperature and precipitation in Northeastern China from 1961 to 2005. Acta Ecologica Sinica, 33(2): 519–531. (in Chinese)
Hengeveld G M, Schüll E, Trubins R et al., 2017. Forest Landscape Development Scenarios (FOLDS): A framework for integrating forest models, owners’ behaviour and socio-economic developments. Forest Policy and Economics, 85: 245–255. doi: https://doi.org/10.1016/j.forpol.2017.03.007
Hesp P A, Smyth T A G, 2017. Nebkha flow dynamics and shadow dune formation. Geomorphology, 282: 27–38. doi: https://doi.org/10.1016/j.geomorph.2016.12.026
Heywood H, 1941. The physics of blown sand and desert dunes. Nature, 148(3756): 480–481. doi: https://doi.org/10.1038/148480a0
Hu G Y, Dong Z B, Zhang Z C et al., 2021. Wind regime and aeolian landforms on the eastern shore of Qinghai Lake, Northeastern Tibetan Plateau, China. Journal of Arid Environments, 188: 104451. doi: https://doi.org/10.1016/j.jaridenv.2021.104451
Hulme M, Kelly M, 1993. Exploring the links between desertification and climate change. Environment:Science and Policy for Sustainable Development, 35(6): 4–45. doi: https://doi.org/10.1080/00139157.1993.9929106
Jepsen S M, Voss C I, Walvoord M A et al., 2013. Sensitivity analysis of lake mass balance in discontinuous permafrost: the example of disappearing Twelvemile Lake, Yukon Flats, Alaska (USA). Hydrogeology Journal, 21(1): 185–200. doi: https://doi.org/10.1007/s10040-012-0896-5
Khatancharoen C, Tsuyuki S, Bryanin S V et al., 2021. Long-time interval Satellite image analysis on forest-cover changes and disturbances around protected area, Zeya State Nature Reserve, in the Russian Far East. Remote Sensing, 13(7): 1285. doi: https://doi.org/10.3390/rs13071285
Lancaster N, Baas A, 1998. Influence of vegetation cover on sand transport by wind: field studies at Owens Lake, California. Earth Surface Processes and Landforms, 23(1): 69–82. doi: https://doi.org/10.1002/(SICI)1096-9837(199801)23:1<69::AID-ESP823>3.0.CO;2-G
Li S, Liu X W, Li H C et al., 2007. A wind tunnel simulation of the dynamic processes involved in sand dune formation on the western coast of Hainan Island. Journal of Geographical Sciences, 17(4): 453–468. doi: https://doi.org/10.1007/s11442-007-0453-7
Li Zhenshan, Wang Yi, He Limin, 2009. Vegetation-erosion process in semiarid region: I. Dynamical models. Journal of Desert Research, 29(1): 23–30. (in Chinese)
Ma X Y, Wang X C, Wang D H et al., 2016. Function of a landscape lake in the reduction of biotoxicity related to trace organic chemicals from reclaimed water. Journal of Hazardous Materials, 318: 663–670. doi: https://doi.org/10.1016/j.jhazmat.2016.07.050
Mayaud J R, Wiggs G F S, Bailey R M, 2017. A field-based parameterization of wind flow recovery in the lee of dryland plants. Earth Surface Processes and Landforms, 42(2): 378–386. doi: https://doi.org/10.1002/esp.4082
Qiu G Y, Li C, Yan C H, 2015. Characteristics of soil evaporation, plant transpiration and water budget of Nitraria dune in the arid Northwest China. Agricultural and Forest Meteorology, 203: 107–117. doi: https://doi.org/10.1016/j.agrformet.2015.01.006
Schultz P A, Halpert M S, 1995. Global analysis of the relationships among a vegetation index, precipitation and land surface temperature. International Journal of Remote Sensing, 16(15): 2755–2777. doi: https://doi.org/10.1080/01431169508954590
Smith I M, Fiorino G E, Grabas G P et al., 2021. Wetland vegetation response to record-high Lake Ontario water levels. Journal of Great Lakes Research, 47(1): 160–167. doi: https://doi.org/10.1016/j.jglr.2020.10.013
Statistics Bureau of Inner Mongolia Autonomous Region, 2021. Inner Mongolia Autonomous Region Statistical Yearbook (2020). Beijing: China Statistical Press. (in Chinese)
Statistical Bureau of Jilin Province, 2021. Jilin Province Statistical Yearbook (2020). Beijing: China Statistical Press. (in Chinese)
Statistical Bureau of Liaoning Province, 2021. Liaoning Province Statistical Yearbook (2020). Beijing: China Statistical Press. (in Chinese)
Steinberg K A, Eichhorst K D, Rudgers J A, 2020. Riparian plant species differ in sensitivity to both the mean and variance in groundwater stores. Journal of Plant Ecology, 13(5): 621–632. doi: https://doi.org/10.1093/jpe/rtaa049
Sun Fenghua, Yang Suying, Chen Pengshi, 2005. Climatic warming-drying trend in Northeastern China during the last 44 years and its effects. Chinese Journal of Ecology, 24(7): 751–755, 762. (in Chinese)
Telfer MW, Hesse P P, Perez-Fernandez M et al., 2017. Morphodynamics, boundary conditions and pattern evolution within a vegetated linear dunefield. Geomorphology, 290: 85–100. doi: https://doi.org/10.1016/j.geomorph.2017.03.024
Tucker C J, Dregne H E, Newcomb W W, 1991. Expansion and contraction of the sahara desert from 1980 to 1990. Science, 253(5017): 299–300. doi: https://doi.org/10.1126/science.253.5017.299
Wang Liangyu, Du Huishi, 2018. Dynamic evolution and simulation prediction of aeolian vegetation in Songnen Sandy Land in recent 35 years. Research of Soil and Water Conservation, 25(4): 380–385. (in Chinese)
Wang M Y, Lu N, Li Q L et al., 2020. Contribution of plant traits to the explanation of temporal variations in carbon and water fluxes in semiarid grassland patches. Journal of Plant Ecology, 13(6): 773–784. doi: https://doi.org/10.1093/jpe/rtaa058
Wang Tao, Song Xiang, Yan Changzhen et al., 2011. Remote sensing analysis on aeolian desertification trends in northern China during 1975–2010. Journal of Desert Research, 31(6): 1351–1356. (in Chinese)
Wang Wenxiang, Zuo Dongdong, Feng Guolin, 2014. Analysis of the drought vulnerability characteristics in Northeast China based on the theory of information distribution and diffusion. Acta Physica Sinica, 63(22): 229201. (in Chinese)
Yang W, Zhang S W, 2012. Monitoring desertification process in Songnen Sandy Land during the past 10 years. Advanced Materials Research, 518–523: 4740–4744. doi: https://doi.org/10.4028/www.scientific.net/AMR.518-523.4740
Yang Wenbin, Wang Tao, Feng Wei et al., 2017. The theory and progress of sand control with low coverage. Journal of Desert Research, 37(1): 1–6. (in Chinese)
Yang Wenbin, Wang Tao, Xiong Wei et al., 2021. Overview of hydrological principle of low vegetation coverage sand control. Journal of Desert Research, 41(3): 75–80. (in Chinese)
Zhang M, Li G X, 2018. Combining TOPSIS and GRA for supplier selection problem with interval numbers. Journal of Central South University, 25(5): 1116–1128. doi: https://doi.org/10.1007/s11771-018-3811-y
Zhang Ping, Hasi Eerdun, Du Huishi et al., 2011. Dynamic relationship between parabolic dunes and Artemisia ordosica. Chinese Science Bulletin, 56(35): 3003–3010. (in Chinese)
Zhao Y C, Gao X, Lei J Q et al., 2020. Nebkha alignments and their implications for shadow dune elongation under unimodal wind regime. Geomorphology, 365: 107250. doi: https://doi.org/10.1016/j.geomorph.2020.107250
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Under the auspices of National Natural Science Foundation of China (No. 41871022), Natural Science Foundation of Jilin Province (No. 20210101398JC)
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Du, H., Hasi, E. Sandy Land-lake-vegetation Landscape of Songnen Sandy Land of China: Pattern, Process and Mechanism. Chin. Geogr. Sci. 32, 580–591 (2022). https://doi.org/10.1007/s11769-022-1287-z
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DOI: https://doi.org/10.1007/s11769-022-1287-z