科尔沁和浑善达克沙地植被覆盖度时空变化及驱动力

doi:10.11707/j.1001-7488.LYKX20240686

Abstract

Abstract:

Objective: This study aims to investigate the spatiotemporal variation characteristics and driving factors of vegetation coverage in the Horqin and Otindag sandy lands from 2000 to 2022, providing a scientific basis for the annihilation of the sandy lands of Horqin and Otindag. Method: Fraction of vegetation cover (FVC) was calculated using MODIS-EVI satellite data from 2000 to 2022. Trend analysis and geographical detectors were used to analyze the spatiotemporal characteristics and driving factors influencing FVC in the Horqin and Otindag sandy lands. The Hurst index was used to predict future FVC trends in the two sandy lands. Result: 1) FVC in the Horqin and Otindag sandy lands exhibited increasing trends from 2000 to 2022, with annual growth rate of 0.0103 a^?1 and 0.0031 a^?1, respectively. 2) The area with a positive trend in FVC accounted for 92.49% of the Horqin sandy land, covering almost the whole region. The area with increasing vegetation coverage in the Otindag sandy land accounted for 70.70%, mainly distributed in its central, eastern, northern and southern parts. 3) The dominant driving factors affecting the change of vegetation coverage were land use type and agricultural productivity potential in the Horqin sandy land, and precipitation and temperature in the Otindag sandy land. Areas with Hurst index less than 0.50 accounted for most areas of the Horqin and Otindag sandy lands. Conclusion: Since 2000, remarkable achievements have been made in combating desertification in the Horqin and Otindag sandy lands, leading to improved vegetation growth. However, the driving factors behind vegetation changes differ between the two regions, and the Hurst index analysis indicates a significant risk of vegetation degradation in the future in the two sandy lands.

Key words: fraction of vegetation cover (FVC), spatiotemporal variations, drivers, Horqin sandy land, Otindag sandy land

CLC Number:

S757

Liu Yang,Feng Yan,Yanjiao Wang. Spatiotemporal Variations Characteristics and Driving Forces of Vegetation Coverage in the Horqin and Otindag Sandy Lands[J]. Scientia Silvae Sinicae, 2025, 61(11): 70-79.

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References 0

	陈雪萍, 赵学勇, 张　晶, 等. 基于地理探测器的科尔沁沙地植被NDVI时空变化特征及其驱动因素. 植物生态学报, 2023, 47 (8): 1082- 1093. doi: 10.17521/cjpe.2022.0020
	Chen X P, Zhao X Y, Zhang J, et al. Variation of NDVI spatio-temporal characteristics and its driving factors based on geodetector model in Horqin sandy land, China. Chinese Journal of Plant Ecology, 2023, 47 (8): 1082- 1093. doi: 10.17521/cjpe.2022.0020
	何晨阳, 闫　峰, 卢　琦, 等. 2001—2020年埃及植被生长状况时空变化特征. 林业科学, 2023, 59 (3): 65- 72. doi: 10.11707/j.1001-7488.LYKX20210566
	He C Y, Yan F, Lu Q, et al. Characterization of spatiotemporal variations in vegetation growth in Egypt in 2001—2020. Scientia Silvae Sinicae, 2023, 59 (3): 65- 72. doi: 10.11707/j.1001-7488.LYKX20210566
	韩　磊, 曹鑫鑫, 朱会利, 等. 基于特征分区的陕北黄土高原植被覆盖变化及其驱动因素. 生态学报, 2023, 43 (20): 8564- 8577.
	Han L, Cao X X, Zhu H L, et al. Change of vegetation coverage and driving factor in the north Shanxi Loess Plateau based on characteristic zoning. Acta Ecologica Sinica, 2023, 43 (20): 8564- 8577.
	郝家田, 胡云云, 杜一尘, 等. 基于NDVI的2009—2018年黄河流域林草植被覆盖变化. 林业科学, 2022, 58 (3): 10- 19.
	Hao J T, Hu Y Y, Du Y C, et al. NDVI-based coverage changes of forest and grass vegetation in Yellow River Basin during 2009 to 2018. Scientia Silvae Sinicae, 2022, 58 (3): 10- 19.
	雷　茜, 胡忠文, 王敬哲, 等. 1985—2015年中国不同生态系统NDVI时空变化及其对气候因子的响应. 生态学报, 2023, 43 (15): 6378- 6391.
	Lei Q, Hu Z W, Wang J Z, et al. Spatiotemporal dynamics of NDVI in China from 1985 to 2015: ecosystem variation, regional differences, and response to climatic factors. Acta Ecologica Sinica, 2023, 43 (15): 6378- 6391.
	刘慧丽, 陈　浩, 董廷旭, 等. 川渝地区NDVI动态特征及其对气候变化的响应. 生态学报, 2023, 43 (16): 6743- 6757.
	Liu H L, Chen H, Dong T X, et al. Variation characteristic of NDVI and its response to climate change in the Sichuan-Chongqing region. Acta Ecologica Sinica, 2023, 43 (16): 6743- 6757.
	谭炳香, 沈明潭, 郄光发, 等. 冬奥会崇礼生态核心区植被覆盖时空变化遥感监测. 林业科学, 2022, 58 (4): 141- 151.
	Tan B X, Shen M T, Qie G F, et al. Temporal and spatial changes monitoring of vegetation coverage for the ecological core area of Chongli Winter Olympic Games. Scientia Silvae Sinicae, 2022, 58 (4): 141- 151.
	马永桃, 任孝宗, 胡慧芳, 等. 基于地理探测器的浑善达克沙地植被变化定量归因. 中国沙漠, 2021, 41 (4): 195- 204.
	Ma Y T, Ren X Z, Hu H F, et al. Vegetation dynamics and its driving force in Otindag sandy land based on geodetector. Journal of Desert Research, 2021, 41 (4): 195- 204.
	王劲峰, 徐成东. 地理探测器: 原理与展望. 地理学报, 2017, 72 (1): 116- 134.
	Wang J F, Xu C D. Geodetector: principle and prospective. Acta Geographica Sinica, 2017, 72 (1): 116- 134.
	王瑞杰, 闫　峰. 2000—2018年西北砒砂岩区植被覆盖度与地形效应. 应用生态学报, 2020, 31 (4): 1194- 1202.
	Wang R J, Yan F. Fractional vegetation cover and topographic effects in pisha sandstone area of northwest China in 2000—2018. Chinese Journal of Applied Ecology, 2020, 31 (4): 1194- 1202.
	王　超, 侯　鹏, 刘晓曼, 等. 中国重要生态系统保护和修复工程区域植被覆盖时空变化研究. 生态学报, 2023, 43 (21): 8903- 8916.
	Wang C, Hou P, Liu X M, et al. Spatiotemporal changes in vegetation cover of the national key ecosystem protection and restoration project areas, China. Acta Ecologica Sinica, 2023, 43 (21): 8903- 8916.
	闫　峰, 吴　波, 王艳姣. 2000—2011年毛乌素沙地植被生长状况时空变化特征. 地理科学, 2013, 33 (5): 602- 608.
	Yan F, Wu B, Wang Y J. Spatial and temporal variations of vegetation growth status in Mu Us sandy land in 2000—2011. Scientia Geographica Sinica, 2013, 33 (5): 602- 608.
	闫　峰, 王艳姣, 武建军, 等. 2009. 基于 Ts-EVI 时间序列谱的冬小麦面积提取. 农业工程学报, 25(4): 135−140.
	Yan F, Wang Y J, Wu J J, et al. 2009. Extracting winter wheat area using temporal sequence of Ts-EVI. Transactions of the Chinese Society of Agricultural Engineering, 25(4): 135−140. ［in Chinese］
	赵媛媛, 武海岩, 丁国栋, 等. 浑善达克沙地土地沙漠化研究进展. 中国沙漠, 2020, 40 (5): 101- 111.
	Zhao Y Y, Wu H Y, Ding G D, et al. A review on the aeolian desertification in the Otindag sandy land. Journal of Desert Research, 2020, 40 (5): 101- 111.
	张思源, 聂　莹, 张海燕, 等. 基于地理探测器的内蒙古植被NDVI时空变化与驱动力分析. 草地学报, 2020, 28 (5): 1460- 1472.
	Zhang S Y, Nie Y, Zhang H Y, et al. Spatiotemporal variation of vegetation NDVI and its driving forces in Inner Mongolia based on geodetector. Acta Agrestia Sinica, 2020, 28 (5): 1460- 1472.
	张　钤, 张方敏, 卢　琦, 等. 生态工程对科尔沁沙地主要生态服务功能的影响. 水土保持通报, 2021, 41 (5): 154- 159, 165, 373.
	Zhang Q, Zhang F M, Lu Q, et al. Effects of ecological construction projects on primary ecosystem services in Horqin sandy land. Bulletin of Soil and Water Conservation, 2021, 41 (5): 154- 159, 165, 373.
	Ali R, Kuriqi A, Abubaker S, et al. Long-term trends and seasonality detection of the observed flow in Yangtze River using mann-kendall and sen’s innovative trend method. Water, 2019, 11 (9): 1855. doi: 10.3390/w11091855
	Du H. Spatiotemporal evolution of fractional vegetation cover and its response to climate change based on MODIS data in the subtropical region of China. Remote Sensing, 2021, 13 (5): 913. doi: 10.3390/rs13050913
	Feng X, Tian J, Wang Y, et al. Spatio-temporal variation and climatic driving factors of vegetation coverage in the Yellow River Basin from 2001 to 2020 Based on Kndvi. Forests, 2023, 14 (3): 620. doi: 10.3390/f14030620
	Han Z, Song W. Interannual trends of vegetation and responses to climate change and human activities in the Great Mekong Subregion. Global Ecology and Conservation, 2022, 38, e02215. doi: 10.1016/j.gecco.2022.e02215
	He C Y, Yan F, Wang Y J, et al. Spatiotemporal variation in vegetation growth status and its response to climate in the Three-River headwaters region, China. Remote Sensing, 2022, 14 (19): 5041. doi: 10.3390/rs14195041
	Liu L, Xu X L, Chen X. Assessing the impact of urban expansion on potential crop yield in China during 1990–2010. Food Security, 2015, 7 (1): 33- 43. doi: 10.1007/s12571-014-0411-z
	Mo K, Chen Q, Chen C, et al. Spatiotemporal variation of correlation between vegetation cover and precipitation in an arid mountain-oasis river basin in northwest China. Journal of Hydrology, 2019, 574, 138- 147. doi: 10.1016/j.jhydrol.2019.04.044
	Peng S Z, Ding Y X, Wen Z M, et al. Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011—2100. Agricultural and Forest Meteorology, 2017, 233, 183- 194. doi: 10.1016/j.agrformet.2016.11.129
	Peng L, Wang J, Liu M M, et al. Spatio-temporal variation characteristics of NDVI and its response to climate on the Loess Plateau from 1985 to 2015. CATENA, 2021, 203, 105331. doi: 10.1016/j.catena.2021.105331
	Wang H, Yao F, Zhu H, et al. Spatiotemporal variation of vegetation coverage and its response to climate factors and human activities in arid and semi-arid areas: case study of the Otindag sandy land in China. Sustainability, 2020, 12 (12): 5214. doi: 10.3390/su12125214
	Wang X, Song J L, Xiao Z Q, et al. Desertification in the Mu Us sandy land in China: response to climate change and human activity from 2000 to 2020. Geography and Sustainability, 2022, 3 (2): 177- 189. doi: 10.1016/j.geosus.2022.06.001
	Zhang X C, Jin X M. Vegetation dynamics and responses to climate change and anthropogenic activities in the Three-River headwaters region, China. Ecological Indicators, 2021, 131, 108223. doi: 10.1016/j.ecolind.2021.108223
	Zhang Q, Gu L, Liu Y, et al. Spatio-temporal dynamics of normalized difference vegetation index and its response to climate change in Xinjiang, 2000–2022. Forests, 2024, 15 (2): 370. doi: 10.3390/f15020370
	Zhong X Z, Li J, Wang J L, et al. Linear and nonlinear characteristics of long-term NDVI using trend analysis: a case study of Lancang-Mekong River Basin. Remote Sense, 2022, 14, 6271. doi: 10.3390/rs14246271

判断依据 Criterion	交互作用 Interaction
q（x₁∩x₂）<Min[q（x₁），q（x₂）]	非线性减弱 Non-linear reduction
q（x₁∩x₂）= q（x₁）+ q（x₂）	独立Independent
Min[q（x₁），q（x₂）]<q（x₁∩x₂）<Max[q（x₁），q（x₂）]	单因子非线性减弱Single factor non-linear reduction
q（x₁∩x₂）>q（x₁）+ q（x₂）	非线性增强Non-linear enhancement
q（x₁∩x₂）>Max（q（x₁），q（x₂））	双因子增强Bi-factor enhancement

取值范围 Value range		未来趋势变化 Future trend changes
Theil-Sen	Hurst	未来趋势变化 Future trend changes
>0	>0.5	持续改善Continuous improvement
<0	>0.5	持续退化Continuous degradation
>0	<0.5	由改善到退化From improvement to degradation
<0	<0.5	由退化到改善From degradation to improvement

沙地Sandy land	面积占比Area proportion (%)
沙地Sandy land	极显著增加 Very significantly increased	显著增加 Significantly increased	不显著增加 No significantly increased	无变化 Unchange	不显著减少 No significantly reduced	显著减少 Significantly reduced	极显著减少 Very significantly reduced
科尔沁沙地 Horqin sandy land	54.56	13.54	24.39	0.63	5.89	0.51	0.48
浑善达克沙地 Otindag sandy land	11.89	8.43	50.38	10.77	17.37	0.71	0.44

沙地Sandy land	面积占比Area proportion (%)
沙地Sandy land	持续改善 Continuous improvement	由改善到退化 From improvement to degradation	持续退化 Continuous degradation	由退化到改善 From degradation to improvement
科尔沁沙地Horqin sandy land	22.96	70.34	1.88	4.82
浑善达克沙地Otindag sandy land	12.09	68.89	2.64	16.38

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[3]	Chenyang He,Feng Yan,Qi Lu,Yan Jiao. Characterization of Spatiotemporal Variations in Vegetation Growth in Egypt in 2001—2020 [J]. Scientia Silvae Sinicae, 2023, 59(3): 65-72.
[4]	Peishan Zhao,Mishan Guo,Guanglei Gao,Guodong Ding,Ying Zhang. Characteristics of Community Structure and Functional Group of Fungi in Roots of Pinus sylvestris var. mongolica in the Horqin Sandy Land [J]. Scientia Silvae Sinicae, 2020, 56(9): 87-96.
[5]	Kai Wang,Qi Song,Risheng Zhang,Dapeng Zhang,Ju Sun. Distribution Characteristics of Non-Structural Carbohydrate in Main Tree Species of Shelterbelt Forests in Horqin Sandy Land [J]. Scientia Silvae Sinicae, 2020, 56(12): 39-48.
[6]	Hongzhong Dang, Jinchao Feng, Hui Han. Characteristics of Azimuthal Variation of Sap Flux Density in Pinus sylvestris var. mongolica Grown in Sandy Land [J]. Scientia Silvae Sinicae, 2020, 56(1): 29-37.
[7]	Lin Yuanzhen. Research Methodologies for Genotype by Environment Interactions in Forest Trees and Their Applications [J]. Scientia Silvae Sinicae, 2019, 55(5): 142-151.
[8]	Liu Zhen;Li Hongli;Dong Zhi;Li Gangtie;Wan Lingling;Yue Yongjie. The Spatial Point Pattern of Ulmus pumila Population in Two Habitats in the Otindag Sandy Land [J]. Scientia Silvae Sinicae, 2012, 48(1): 29-34.
[9]	Yang Donghua;Zhao Yusen. Effects of Site Condition on Growth and Spatial Variations of Hedysarum Laeve [J]. Scientia Silvae Sinicae, 2011, 47(2): 180-186.
[10]	Huang Gang;Zhao Xueyong;Zhang Tonghui;Su Yangui;. pH and Nutrition Properties of Rhizosphere Soils of Three Shrub Species in Horqin Sandy Land [J]. Scientia Silvae Sinicae, 2007, 43(8): 138-142.
[11]	Zhang Jiyi;Zhao Halin;Cui Jianyuan;Li Yulin;Su Yongzhong. Effects of Clonal Plants on Community Structure and Function along a Restorational Gradient in Horqin Sandy Land [J]. Scientia Silvae Sinicae, 2005, 41(1): 5-9.

Spatiotemporal Variations Characteristics and Driving Forces of Vegetation Coverage in the Horqin and Otindag Sandy Lands

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