甘肃省土地荒漠化时空演变及驱动力分析

刘进军; 高原雪; 姚琴风; 陈胜华

doi:10.13961/j.cnki.stbctb.20240321.001

您当前的位置：

首页 >

文章列表页 >

甘肃省土地荒漠化时空演变及驱动力分析

试验研究

- 甘肃省土地荒漠化时空演变及驱动力分析
- Analysis of Spatiotemporal Evolution and Driving Forces of Land Desertification in Gansu Province
- 水土保持通报 2024年44卷第2期页码：354-363
- 作者机构：
  
  1. 山西工程技术学院矿区生态修复与固废资源化厅市共建山西省重点实验室培育基地,山西,阳泉,045000
  2. 山西工程技术学院地球科学与工程系,山西,阳泉,045000
- 作者简介：
- 基金信息：
  
  山西省地质勘查建设与发展专项资金项目“遥感与GIS支持下的山西矿山生态环境监测与评价技术研究”(2023-011);山西省自然科学基金项目“含双重孔隙网络的山西煤层气储层二维核磁共振测井解释评价研究”(202203021211288);山西省高等学校教学改革创新项目”新工科背景下基于虚拟仿真技术的《摄影测量学》课程教学改革 “(J20221244)
- DOI：10.13961/j.cnki.stbctb.20240321.001
  中图分类号： X87;X171.1
- 纸质出版：2024
- 稿件说明：
移动端阅览
刘进军, 高原雪, 姚琴风, 等. 甘肃省土地荒漠化时空演变及驱动力分析[J]. 水土保持通报, 2024,44(2):354-363.

LiuJinjun, Gao Yuanxue, Yao Qinfeng, et al. Analysis of Spatiotemporal Evolution and Driving Forces of Land Desertification in Gansu Province[J]. Bulletin of Soiland Water Conservation, 2024, 44(2): 354-363.
刘进军, 高原雪, 姚琴风, 等. 甘肃省土地荒漠化时空演变及驱动力分析[J]. 水土保持通报, 2024,44(2):354-363. DOI： 10.13961/j.cnki.stbctb.20240321.001.

LiuJinjun, Gao Yuanxue, Yao Qinfeng, et al. Analysis of Spatiotemporal Evolution and Driving Forces of Land Desertification in Gansu Province[J]. Bulletin of Soiland Water Conservation, 2024, 44(2): 354-363. DOI： 10.13961/j.cnki.stbctb.20240321.001.

摘要

[目的] 对甘肃省的荒漠化状况及驱动因素进行分析，为该地区荒漠化综合防治及“三北”防护林等生态工程的推进提供科学依据。[方法] 基于植被指数及地表反照率构建了荒漠化差值指数，使用趋势分析、空间自相关分析等方法分析了甘肃省2000—2022年23 a间的荒漠化时空分布特征，并利用地理时空加权回归法对其影响因素进行了分析。 [结果] ①甘肃省荒漠化整体呈现出“西北荒东南绿”的特点，西北区域同时受风蚀荒漠化和盐渍化影响，荒漠化最严重，向东南方向荒漠化程度逐渐减轻，中部地区受水土流失影响荒漠化程度较严重，南部区域荒漠化程度较轻；时间上，23 a间，甘肃省荒漠化程度逐渐改善，且南部区域改善程度强于北部区域； ②从空间自相关看，甘肃省荒漠化主要表现出聚集特性，即荒漠化程度表现出明显的空间正相关性； ③降雨对缓解荒漠化最有益处，且对西北的影响大于东南，风速和人口会加剧荒漠化的发生，西南部气温升高荒漠化程度会加重，其余区域则相反。 [结论] 2000—2022年甘肃省荒漠化整体呈改善趋势，西北部荒漠化仍较严重，甘肃省荒漠化的驱动因素存在较明显的时空异质性，最主要的因素为降雨。

Abstract

[Objective] The desertification status and its driving factors in Gansu Province were analyzed in order to provide a scientific basis for the comprehensive prevention and control of desertification and the promotion of ecological projects such as the “Three Norths” shelterbelt program. [Methods] Trend analysis and spatial autocorrelation analysis were used to characterize the spatial and temporal distribution of desertification in Gansu Province from 2000 to 2022

and geographically and temporally weighted regression was used to analyze the influencing factors. [Results] ① The overall desertification in Gansu Province was characterized as “desertification in the northwest and green in the southeast”. The northwest region was affected by both wind erosion and salinization

and exhibited the most serious desertification

which gradually decreased towards the southeast. The central region was affected by soil and water loss

and had a serious degree of desertification

while the south region had a less serious degree of desertification. The degree of desertification in Gansu Province gradually decreased during the 23-year study period

and the amount of decrease was greater in the southern region than in the northern region. ② In terms of spatial autocorrelation

desertification in Gansu Province was mainly characterized by aggregation

i. e.

the degree of desertification showed obvious positive spatial correlation. ③ Increased precipitation was most beneficial in mitigating desertification and had a greater impact in the northwest than in the southeast

while wind speed and population exacerbated desertification. Desertification was exacerbated by warmer temperatures in the southwest and vice versa in the rest of the region. [Conclusion] From 2000 to 2022

desertification in Gansu Province showed an improving trend

while desertification in the northwestern part of the province was still serious. There was obvious spatial and temporal heterogeneity in the drivers of desertification in Gansu Province

and the most important factor affecting desertification was precipitation.

关键词

Keywords

references

Kassas M. Desertification:A general review[J]. Journal of Arid Environments, 1995,30(2):115-128.

Rivera-Marin D, Dash J, Ogutu B. The use of remote sensing for desertification studies:A review[J]. Journal of Arid Environments, 2022,206:104829.

Liu Qingfu, Zhang Qing, Yan Yongzhi, et al. Ecological restoration is the dominant driver of the recent reversal of desertification in the Mu Us Desert (China)[J]. Journal of Cleaner Production, 2020,268:122241. DOI:10.1016/j.jclepro.2020.122241.

敏玉芳,张耀南,康建芳,等.基于MODIS影像的中巴经济走廊荒漠化程度时空动态监测研究[J].遥感技术与应用,2021,36(4):827-837. Min Yufang, Zhang Yaonan, Kang Jianfang, et al. Study on spatial-temporal dynamic monitoring of degree of desertification in CPEC based on MODIS image[J]. Remote Sensing Technology and Application, 2021,36(4):827-837.

王旭,刁兆岩,郑志荣,等.中蒙毗邻草原区荒漠化时空动态研究[J].环境科学研究,2021,34(12):2935-2944. Wang Xu, Diao Zhaoyan, Zheng Zhirong, et al. Temporal and spatial dynamics of desertification in adjacent steppe of China and Mongolia[J]. Research of Environmental Sciences, 2021,34(12):2935-2944.

Higginbottom T P, Symeonakis E. Assessing land degradation and desertification using vegetation index data:Current frameworks and future directions[J]. Remote Sensing, 2014,6(10):9552-9575.

Lamqadem A A, Saber H, Pradhan B. Quantitative assessment of desertification in an arid oasis using remote sensing data and spectral index techniques[J]. Remote Sensing, 2018,10(12):1862.

闫峰,吴波.近40 a毛乌素沙地荒漠化过程研究[J].干旱区地理,2013,36(6):987-996. Yan Feng, Wu Bo. Desertification progress in Mu Us Sandy Land over the past 40 years[J]. Arid Land Geography, 2013,36(6):987-996.

张华,陈蕾.基于线性光谱混合模型(LSMM)的民勤绿洲荒漠化治理效果评价[J].中国沙漠,2019,39(3):145-154. Zhang Hua, Chen Lei. Evaluation of desertification control effect in the Minqin Oasis in Gansu, China, based on LSMM[J]. Journal of Desert Research, 2019,39(3):145-154.

Lian Jie, Zhao Xueyong, Li Xin, et al. Detecting sustainability of desertification reversion:Vegetation trend analysis in part of the agro-pastoral transitional zone in Inner Mongolia, China[J]. Sustainability, 2017,9(2):211.

赵文博,冯莉莉,赵安周,等.河北省2000-2017年荒漠化的时空演变及其气候驱动因子[J].水土保持通报,2021,41(4):252-259. Zhao Wenbo, Feng Lili, Zhao Anzhou, et al. Spatial and temporal evolution of desertification and its driving factors of climate in Hebei Province[J]. Bulletin of Soil and Water Conservation, 2021,41(4):252-259.

王树祥,韩留生,杨骥,等.一种改进的融合多指标荒漠化等级分类方法[J].测绘通报,2021(4):8-12. Wang Shuxiang, Han Liusheng, Yang Ji, et al. An improved method of combining multi-indicator desertification classification[J]. Bulletin of Surveying and Mapping, 2021(4):8-12.

张博,周伟,张福存.1999-2018年青海省土地退化遥感监测及其驱动力分析[J].水土保持通报,2020,40(2):120-128,325. Zhang Bo, Zhou Wei, Zhang Fucun. Remote sensing monitoring and driving force analysis of land degradation in Qinghai Province from 1999 to 2018[J]. Bulletin of Soil and Water Conservation, 2020,40(2):120-128,325.

杨超,王金亮,李石华,等.抚仙湖流域土地退化动态遥感监测研究[J].遥感技术与应用,2016,31(2):388-396. Yang Chao, Wang Jinliang, Li Shihua, et al. Land degradation dynamic remote sensing monitoring of Fuxian Lake basin[J]. Remote Sensing Technology and Application, 2016,31(2):388-396.

李志鹏,曹晓明,丁杰,等. MODIS卫星影像显示的2001-2017年中国荒漠化年度状况[J].中国沙漠,2019,39(6):135-140. Li Zhipeng, Cao Xiaoming, Ding Jie, et al. Annual Desertification during 2001-2017 in China Based on MODIS Satellite Images[J]. Journal of Desert Research, 2019,39(6):135-140.

曾永年,向南平,冯兆东,等. Albedo-NDVI特征空间及沙漠化遥感监测指数研究[J].地理科学,2006,26(1):75-81. Zeng Yongnian, Xiang Nanping, Feng Zhaodong, et al. Albedo-NDVI space and remote sensing synthesis index models for desertification monitoring[J]. Scientia Geographica Sinica,2006,26(1):75-81.

Feng Yuanyuan, Wang Shihang, Zhao Mingsong, et al. Monitoring of land desertification changes in urat front banner from 2010 to 2020 based on remote sensing data[J]. Water, 2022,14(11):1777.

岳辉,刘英.基于NDVI-Albedo特征空间的陕西省干旱与荒漠化遥感监测[J].西北林学院学报,2019,34(1):198-205. Yue Hui, Liu Ying. Monitoring of drought and desertification in Shaanxi Province based on NDVI-Albedo space[J]. Journal of Northwest Forestry University, 2019,34(1):198-205.

李玉,陶从辉,赵泉华.基于EVI-Albedo特征空间的土地荒漠化遥感分类方法[J].遥感信息,2022,37(5):8-14. Li Yu, Tao Conghui, Zhao Quanhua. A remote sensing classification method of land desertification based on EVI-Albedo space[J]. Remote Sensing Information, 2022,37(5):8-14.

Huang Bo, Wu Bo, Barry M. Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices[J]. International Journal of Geographical Information Science, 2010,24(3):383-401.

Montero P, Vilar J A. TSclust:An R package for time series clustering[J]. Journal of Statistical Software, 2014,62(1):1-43.

郑佳翔,孙桂丽,苏香玲,等.阿克苏地区荒漠化变化趋势及其驱动因素[J].水土保持通报,2022,42(4):278-285. Zheng Jiaxiang, Sun Guili, Su Xiangling, et al. Trends of desertification change and its driving factors in Aksu Region[J]. Bulletin of Soil and Water Conservation, 2022,42(4):278-285.

孙技星,钟成,何宏伟,等.2000-2015年中国土地荒漠化连续遥感监测及其变化[J].东北林业大学学报,2021,49(3):87-92. Sun Jixing, Zhong Cheng, He Hongwei, et al. Continuous remote sensing monitoring and changes of land desertification in China from 2000 to 2015[J]. Journal of Northeast Forestry University, 2021,49(3):87-92.

宁立波,杨俊仓.民勤县土地荒漠化遥感分析[J].湖南科技大学学报(自然科学版),2013,28(2):115-119. Ning Libo, Yang Juncang. The remote sensing analysis of land desertification dynamic changes in Minqin[J]. Journal of Hunan University of Science&Technology (Natural Science Edition),2013,28(2):115-119.

魏伟,俞啸,张梦真,等.1995-2018年石羊河流域下游荒漠化动态变化[J].应用生态学报,2021,32(6):2098-2106. Wei Wei, Yu Xiao, Zhang Mengzhen, et al. Dynamics of desertification in the lower reaches of Shiyang River Basin, Northwest China during 1995-2018[J]Chinese Journal of Applied Ecology, 2021,32(6):2098-2106.

Han Lanying, Zhang Zhengcai, Zhang Qiang, et al. Desertification assessments in the Hexi corridor of Northern China's Gansu Province by remote sensing[J]. Natural Hazards, 2015,75(3):2715-2731.

薛华柱,金磊,董国涛,等.河西走廊近40年地表土壤冻融状态变化特征[J].水土保持学报,2023,37(6):65-73,82. Xue Huazhu, Jin Lei, Dong Guotao, et al. Analysis of spatiotemporal variations of freeze-thaw state of surface soil in Hexi corridor in recent 40 years[J]. Journal of Soil and Water Conservation, 2023,37(6):65-73,82.

刘玉璋,董光荣,李长治.影响土壤风蚀主要因素的风洞实验研究[J].中国沙漠,1992,12(4):41-49. Liu Yuzhang, Dong Guangrong, Li Changzhi. Study on some factors influencing soil erosion by wind tunnel experiment[J]. Journal of Desert Research, 1992,12(4):41-49.

朱震达,崔书红.中国荒漠化土地分布地域特征及其治理措施的评估[J].中国环境科学,1996(5):328-334. Zhu Zhenda, Cui Shuhong. Features of distribution and assessment for control measures of desertification in China[J]. China Environmental Science, 1996(5):328-334.

汪震,姜勇彪,岳兵.江西吉泰盆地荒漠化时空变化特征及影响因素分析[J].东华理工大学学报(自然科学版),2021,44(2):150-155. Wang Zhen, Jiang Yongbiao, Yue Bing. Spatial-temporal evolution characteristics and influencing factors of land desertification in Jitai Basin, Jiangxi Province[J]. Journal of East China University of Technology (Natural Science),2021,44(2):150-155.

李伯祥,陈晓勇,徐雯婷.基于DEM校正TVDI的华北地区旱情监测分析[J].东华理工大学学报(自然科学版),2019,42(3):266-273. Li Boxiang, Chen Xiaoyong, Xu Wenting. Drought monitoring analysis in North China based on DEM correction TVDI[J]. Journal of East China University of Technology (Natural Science), 2019,42(3):266-273.

何鹏杰,张恒嘉,王玉才,等.河西地区临泽县土地荒漠化影响因素分析[J].环境工程,2016,34(增刊1):1111-1116. He Pengjie, Zhang Hengjia, Wang Yucai, et al. Analysis of influencing factors of land desertification of Hexi corridor of Linze County[J]. Environmental Engineering, 2016,34(Suppl.1):1111-1116.

马龙,王静茹,刘廷玺,等.2000-2012年科尔沁沙地植被与气候因子间的响应关系[J].农业机械学报,2016,47(4):162-172. Ma Long, Wang Jingru, Liu Tingxi, et al. Response relationship between vegetation and climate factors in Horqin sandy land from 2000 to 2012[J]. Transactions of the Chinese Society for Agricultural Machinery, 2016,47(4):162-172.

浏览量

365

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

典型黄土区人工林土壤水分与养分的区域特征

资源枯竭型城市转型对净生态系统生产力的影响

沂蒙山区农业碳排放时空特征与脱钩弹性

中国典型河口三角洲生态系统服务价值的时空异质性

甘肃省农业绿色发展水平测度、变化趋势及区域差异