干旱区研究

Arid Zone Research >

2025 , Vol. 42 >Issue 6: 1114 - 1125

DOI: https://doi.org/10.13866/j.azr.2025.06.14

Ecology and Environment

Change in the ecological environment quality in Babusha region in the Gulang County

  • WEI Qian ,
  • MA Quanlin ,
  • ZHAO Ruifeng
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  • 1. College of Forestry, Gansu Agricultural University, Lanzhou 730070, Gansu, China
    2. Gansu Forestry Scientific Research Institute, Lanzhou 730020, Gansu, China
    3. College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China

Received date: 2024-06-23

  Revised date: 2025-04-16

  Online published: 2025-06-11

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Abstract

Located in the convergence zone of the Qinghai-Xizang Plateau Ecological Barrier and the Northern Sand Control Belt, the Babusha region acts as a frontline defense against the southward encroachment of the Tengger Desert. Assessing changes in the ecological environment quality in the Babusha region holds significant value for evaluating the effectiveness of regional desertification control and advancing the Three-North Shelterbelt Development Program. This study used data from the Google Earth Engine platform to investigate land use pattern changes in the Babusha region from 1986 to 2021. A comprehensive assessment of the spatiotemporal changes in the regional ecological environment quality was conducted using the normalized difference vegetation index (NDVI), desertification index (DI), and remote sensing ecological index (RSEI). The results were as follows: (1) Over time, the desert area in the Babusha region has continued to decrease, the grassland area has progressively increased, and the vegetation coverage has improved. From 1986 to 2021, NDVI and RSEI showed a fluctuating upward trend, with NDVI increasing from 0.14 to 0.31 (>50% increase) and RSEI increasing from 0.22 to 0.24 (9.39% increase). In contrast, DI exhibited a fluctuating downward trend, decreasing from 0.79 to 0.57 with a cumulative reduction of 27.85%. (2) Areas with high NDVI and RSEI values were concentrated in the southern and northwestern parts of the study region, dominated by woodland and cultivated land, whereas areas with low NDVI and RSEI values were distributed in the northern region characterized by extremely low vegetation coverage and desert. (3) The trend analysis primarily revealed a nonsignificant or significant increase in NDVI and RSEI values and a nonsignificant decrease in DI values. Specifically, 12.12% and 61.10% of the study area exhibited a nonsignificant and significant increase in NDVI, respectively, whereas 5.06% and 38.63% of the study area showed a nonsignificant and significant increase in RSEI, respectively. The ecological improvement areas were concentrated in the northwestern and southeastern regions with higher human activity levels. From 1986 to 2021, the Babusha region demonstrated marked vegetation restoration, sustained improvement in the ecological environment, and significantly effective desertification control, facilitating the establishment of a replicable Babusha model.

Key words： ecological environment quality; vegetation coverage; remote sensing ecological index (RSEI); spatiotemporal variation; Babusha

Cite this article

WEI Qian , MA Quanlin , ZHAO Ruifeng . Change in the ecological environment quality in Babusha region in the Gulang County[J]. Arid Zone Research, 2025 , 42(6) : 1114 -1125 . DOI: 10.13866/j.azr.2025.06.14

References

[1] 程莉, 宁志英, 杨红玲, 等. 固沙措施对流动沙丘植被和土壤特性的影响[J]. 中国沙漠, 2024, 44(2): 273-282.
  [Cheng Li, Ning Zhiying, Yang Hongling, et al. Effects of different sand-fixation measures on vegetation and soil characteristics of high and flat mobile dunes[J]. Journal of Desert Research, 2024, 44(2): 273-282.]
[2] 王涛. 中国沙漠与沙漠化[M]. 河北: 河北科学技术出版社, 2003.
  [Wang Tao. Deserts and Aeolian Desertification in China[M]. Hebei: Hebei Science & Technology Press, 2003.]
[3] 任利广, 马维伟, 李广, 等. 基于GIS的甘肃省农牧交错带土地沙化敏感性时空分布格局[J]. 干旱区资源与环境, 2022, 36(6): 149-156.
  [Ren Liguang, Ma Weiwei, Li Guang, et al. Temporal and spatial distribution pattern of landdeserti-fication sensitivity in agro pastoral ecotone of Gansu Province[J]. Journal of Arid Land Resources and Environment, 2022, 36(6): 149-156.]
[4] 刘冰晶, 杨艳昭, 李依. 北方农牧交错带土地利用结构特征定量研究——以西辽河流域为例[J]. 干旱区资源与环境, 2018, 32(6): 64-71.
  [Liu Bingjing, Yang Yanzhao, Li Yi. Quantitative analysis of land use structure characteristicsover the farming-pastoral zone in the west Liaohe River Basin, northern China[J]. Journal of Arid Land Resources and Environment, 2018, 32(6): 64-71.]
[5] 朱尖. 试论北疆文化的学理与实践定位[J]. 内蒙古社会科学, 2024, 45(1): 33-39.
  [Zhu Jian. The theoretical and practical orientation of culture of the northern frontier of China[J]. Inner Mongolia Social Sciences, 2024, 45(1): 33-39.]
[6] 杨景云, 金鑫, 金彦香, 等. 高寒内陆河流域湿地面积变化及其影响因素研究[J/OL]. 生态学报, 2025, 45(8): 1-16. [2025-04-08].
  [Yang Jingyun, Jin Xin, Jin Yanxiang, et al. Wetland area change and influencing factors in alpineinland river basin[J/OL]. Acta Ecologica Sinica, 2025, 45(8): 1-16. [2025-04-08].]
[7] 王天宏, 蒋馥根, 龙依, 等. 1990—2020年长江源地区生态环境质量动态变化及驱动力分析[J/OL]. 南京林业大学学报(自然科学版), 1-9, [2025-04-08].
  [Wang Tianhong, Jiang Fugen, Long Yi, et al. Dynamic changes and driving forces of ecological environment quality in the source region of the Yangtze River from 1990 to 2020[J/OL]. Journal of Nanjing Forestry University (Natural Science Edition), 1-9, [2025-04-08].]
[8] 黄豪奔, 徐海量, 林涛, 等. 2001—2020年新疆阿勒泰地区归一化植被指数时空变化特征及其对气候变化的响应[J]. 生态学报, 2022, 42(7): 2798-2809.
  [Huang Haoben, Xu Hailiang, Lin Tao, et al. Spatio-temporal variation characteristicsof NDVI and its response to climate change in the Altay region of Xinjiang from 2001 to 2020[J]. Acta Ecologica Sinica, 2022, 42(7): 2798-2809.]
[9] Zhou Y, Hu Z, Geng Q, et al. Monitoring and analysis of desertification surrounding Qinghai Lake (China) using remote sensing big data[J]. Environmental Science and Pollution Research, 2023, 30(7): 17420-17436.
[10] 徐涵秋. 区域生态环境变化的遥感评价指数[J]. 中国环境科学, 2013, 33(5): 889-897.
  [Xu Hanqiu. A remote sensing index for assessment of regional ecological changes[J]. China Environmental Science, 2013, 33(5): 889-897.]
[11] 石敏, 李慧颖, 贾明明. 基于GEE云平台与Landsat数据的山口自然保护区红树林时空变化分析[J]. 自然资源遥感, 2023, 35(2): 61-69.
  [Shi Min, Li Huiying, Jia Mingming. Spatio-temporal variations in mangrove forests in the Shankou Mangrove Nature Reserve based on the GEE cloud platform and Landsat data[J]. Remote Sensing for Natural Resources, 2023, 35(2): 61-69.]
[12] 赵安周, 田新乐. 基于GEE平台的1986—2021年黄土高原植被覆盖度时空演变及影响因素[J]. 生态环境学报, 2022, 31(11): 2124-2133.
  [Zhao Anzhou, Tian Xinle. Spatiotemporal evolution and influencing factors of vegetation coverage in the Loess Plateau from 1986 to 2021 Based on GEE Platform[J]. Ecology and Environment Sciences, 2022, 31(11): 2124-2133.]
[13] 张神宝, 王永芳, 郭恩亮, 等. 基于GEE的奈曼旗植被覆盖时空演变及驱动力分析[J]. 草业科学, 2023, 40(8): 1965-1976.
  [Zhang Shenbao, Wang Yongfang, Guo Enliang, et al. Spatial and temporal evolution and its driving forceon vegetation cover in Naiman Banner based on Google Earth Engine[J]. Pratacultural Science, 2023, 40(8): 1965-1976.]
[14] 王乐. 合作治理视角下西部地区荒漠化治理研究[D]. 兰州: 兰州大学, 2022.
  [Wang Le. Research on Desertification Control Model in the Western Region under the View of Cooperative Governance—Acase of “Six Old Men” in Babusha[D]. Lanzhou: Lanzhou University, 2022.]
[15] 许冬梅, 梁开军, 张兴林. 甘肃省古浪县八步沙林场践行“两山”理论的调查与思考[J]. 环境保护, 2019, 47(21): 73-74.
  [Xu Dongmei, Liang Kaijun, Zhang Xinglin. Investigation and reflection on practicing the theory of “two mountains” in Babusha Forest Farm, Gulang County, Gansu Province[J]. Environmental Protection, 2019, 47(21): 73-74.]
[16] 胡晓娟, 李霞, 王讷. 八步沙林场防沙治沙区植被覆盖度时空演变分析[J]. 地理空间信息, 2022, 20(1): 66-69, 8.
  [Hu Xiaojuan, Li Xia, Wang Nan. Spatio-temporal evolution analysis of vegetation coverage in Babusha forest farm sand control area[J]. Geospatial Information, 2022, 20(1): 66-69, 8.]
[17] 马婧, 郭方君, 邹枝慧, 等. 腾格里沙漠南缘不同恢复阶段沙质草地植被的季节变化特征[J]. 草业学报, 2023, 32(5): 203-210.
  [Ma Jing, Guo Fangjun, Zou Zhihui, et al. Seasonal variation in vegetation during restoration of sandy grassland at the southern edge of the Tengger Desert[J]. Acta Prataculturae Sinica, 2023, 32(5): 203-210.]
[18] 赵鹏, 徐先英, 屈建军, 等. 民勤绿洲荒漠过渡带人工梭梭群落与水土因子的关系[J]. 生态学报, 2017, 37(5): 1496-1505.
  [Zhao Peng, Xu Xianying, Qu Jianjun, et al. Relationships between artificial Haloxylon ammodendron comm unitiesand soil water factors in Minqin oasis-desert ecotone[J]. Acta Ecologica Sinica, 2017, 37(5): 1496-1505.]
[19] Yang J, Huang X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J]. Earth System Science Data, 2021, 13(8): 3907-3925.
[20] 梁植, 孙若辰, 段青云. 黄河水源涵养区植被NDVI时空变化特征及其驱动因子[J]. 地理科学进展, 2023, 42(9): 1717-1732.
  [Liang Zhi, Sun Ruochen, Duan Qingyun. Spatiotemporal variation of NDVI in the Yellow River waterconservation zone and its driving factors[J]. Progress in Geoscience, 2023, 42(9): 1717-1732.]
[21] 付沙沙, 彭威, 邵爱梅, 等. 秦巴山区夏季NDVI变化特征及其对气候因子的响应[J]. 干旱区研究, 2023, 40(10): 1563-1574.
  [Fu Shasha, Peng Wei, Shao Aimei, et al. Variations in the NDVI characteristics during the summer and the climatic factor responses in the Qinling-Daba Mountains[J]. Arid Zone Research, 2023, 40(10): 1563-1574.]
[22] 申子傲, 吴静, 李纯斌. 2000—2020年河西内陆河流域植被覆盖时空变化特征及其驱动力[J]. 中国沙漠, 2024, 44(3): 119-127.
  [Shen Ziao, Wu Jing, Li Chunbin. Temporal and spatial changes of vegetation cover and its driving forces in the Hexi inland river basin from 2000 to 2020[J]. Journal of Desert Research, 2024, 44(3): 119-127.]
[23] Duo L, Wang J, Zhang F, et al. Assessing the spatiotemporal evolution and drivers of ecological environment quality using an enhanced remote sensing ecological index in lanzhou City, China[J]. Remote Sensing, 2023, 15(19): 4707.
[24] 赵鸿雁, 颜长珍, 李森, 等. 黄河流域2000—2020年土地沙漠化遥感监测及驱动力分析[J]. 中国沙漠, 2023, 43(3): 127-137.
  [Zhao Hongyan, Yan Changzhen, Li Sen, et al. Remote sensing monitoring of aeolian desertification and quantitative analysis of its driving force in the Yellow River Basin during 2000-2020[J]. Journal of Desert Research, 2023, 43(3): 127-137.]
[25] Zhang Q, Xiang Y, Sun C, et al. Exploration of ecological environment quality in the “Two Mountains, Seven Rivers and One Basin” area of Shanxi Province, China[J]. Journal of Mountain Science, 2025, 22(3): 966-982.
[26] 陈帅, 昝梅. 新疆伊犁地区植被水分利用效率时空格局研究[J]. 生态科学, 2023, 42(2): 127-138.
  [Chen Shuai, Zan Mei. Temporal and spatial patterns of WUE in Yili, Xinjiang[J]. Ecological Science, 2023, 42(2): 127-138.]
[27] 龚天星. 高质量打造古浪八步沙林场“两山”实践创新基地的对策研究[J]. 农业科技与信息, 2023(5): 93-96.
  [Gong Tianxing. Research on countermeasures to build the “two mountains” practice and innovation base of Gulang Baibusha Forest Farm with high quality[J]. Agricultural Science-Technology and Information, 2023(5): 93-96.]
[28] 李佳霖. 古浪县沙漠化时空演变格局及对气候-人作用的响应机制分析[D]. 淄博: 山东理工大学, 2024.
  [Li Jialin. Analysis of Spatial-temporal Evolution Pattern of Desertification and Its Response Mechanism to Climate-Human Interactionin Gulang County[D]. Zibo: Shandong University of Technology, 2024.]
[29] 张清雨, 赵东升, 吴绍洪, 等. 基于生态分区的内蒙古地区植被覆盖变化及其影响因素研究[J]. 地理科学, 2013, 33(5): 594-601.
  [Zhang Qingyu, Zhao Dongsheng, Wu Shaohong, et al. Research on vegetation changes and influence factors based on eco-geographical regions of Inner Mongolia[J]. Geographical Science, 2013, 33(5): 594-601.]
[30] 胡丽莉. 古浪县近51年气候变化特征[J]. 现代农业科技, 2011(17): 17-18.
  [Hu Lili. Change characteristics of meteorological elements in the last 51 years of Gulang County[J]. Modern Agricultural Science and Technology, 2011(17): 17-18.]
[31] 罗晓玲, 赵慧华, 杨梅, 等. 基于MCI的河西走廊东部近60年干旱特征及对厄尔尼诺事件的响应[J/OL]. 沙漠与绿洲气象, 1-11, [2025-04-08].
  [Luo Xiaoling, Zhao Huihua, Yang Mei, et al. Characteristics of drought and response to El Ni?o events over the last 60 years in eastern Hexi Corridor based on MCI[J/OL]. Desert and Oasis Meteorology, 1-11, [2025-04-08].]
[32] 王婷婷, 冯起, 郭小燕, 等. 1959—2014年古浪河流域降水变化特征及突变分析[J]. 高原气象, 2019, 38(6): 1251-1262.
  [Wang Tingting, Feng Qi, Guo Xiaoyan, et al. Variation characteristics and mutation analysis of precipitationin the Gulang River Basin during the Period 1959-2014[J]. Plateau Meteorology, 2019, 38(6): 1251-1262.]
[33] 胡晓娟. 利用长时序卫星影像评估防沙治沙区植被变化[J]. 北京测绘, 2024, 38(5): 739-744.
  [Hu Xiaojuan. Assessmentofvegetation change in desertification prevention and control areas using long time series satellite images[J]. Beijing Surveying and Mapping, 2024, 38(5): 739-744.]
[34] 安婧荣. 古浪县北部沙区林分退化原因及修复措施[J]. 现代园艺, 2025, 48(6): 168-170.
  [An Jingrong. Causes of forest degradation and restoration measures in the sandy area of northern Gulang County[J]. Contemporary Horticulture, 2025, 48(6): 168-170.]
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