Desertification Risk Assessment for Bortala Mongolian Autonomous Prefecture During 2000-2020

Liu Yanyan; Sun Guili; Ji Xiaomin; Yu Mingzhu; Ran Yajun

doi:10.13961/j.cnki.stbctb.2022.03.010

您当前的位置：

首页 >

文章列表页 >

Desertification Risk Assessment for Bortala Mongolian Autonomous Prefecture During 2000-2020

- Desertification Risk Assessment for Bortala Mongolian Autonomous Prefecture During 2000-2020
- Bulletin of Soiland Water Conservation Vol. 42, Issue 3, Pages: 66-73(2022)
- 作者机构：
  
  1. 新疆农业大学林学与风景园林学院,新疆,乌鲁木齐,830052
  2. 干旱区林业生态与产业技术重点实验室,新疆,乌鲁木齐,830052
  3. 新疆林业科学院荒漠化研究所,新疆,乌鲁木齐,830052
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2022.03.010
  CLC： X826
- Published：2022
- 稿件说明：
移动端阅览
Liu Yanyan, Sun Guili, Ji Xiaomin, et al. Desertification Risk Assessment for Bortala Mongolian Autonomous Prefecture During 2000-2020[J]. Bulletin of Soiland Water Conservation, 2022, 42(3): 66-73.
DOI：

Liu Yanyan, Sun Guili, Ji Xiaomin, et al. Desertification Risk Assessment for Bortala Mongolian Autonomous Prefecture During 2000-2020[J]. Bulletin of Soiland Water Conservation, 2022, 42(3): 66-73. DOI： 10.13961/j.cnki.stbctb.2022.03.010.

摘要

[目的

]

对2000—2020年博尔塔拉蒙古自治州沙漠化风险的时空变化特征进行分析，为该区生态修复、因地制宜制定防沙治沙措施提供科学依据。[方法

]

选取9个自然和社会经济指标构建沙漠化风险评价指标体系，在ENVI和ArcGIS软件的支持下，对2000—2020年博尔塔拉蒙古自治州沙漠化风险进行评价，并分析风险等级时空变化特征。[结果

]

①2000—2020年博州沙漠化风险呈现较强的空间异质性。极高风险和高度风险区集中在博州东部精河县及东北部阿拉山口市；中度风险及低风险区域位于博州中部博乐市及温泉县，中度风险所占比例最大，高达40%以上。②2000—2020年沙漠化风险主要是以极高风险向高度风险转移，高度风险向中度风险转移，中度风险向低风险转移，整体呈现出逆向逐级转化的趋势。至2020年，极高风险面积共减少3 160.3 km

，低风险面积共增加2 424.76 km

。③2000—2020年，沙漠化极高风险和高度风险重心均向东迁移，极高风险重心迁移变化最为明显，逐渐向精河县东部迁移，中度风险和低风险重心变化范围不明显，分布于博乐市和温泉县。[结论

]

2000—2020年，博尔塔拉蒙古自治州各区域沙漠化风险程度不同，在沙漠化的治理与防治过程中，应当因地适宜，合理有效地开展治沙防沙以及生态修复工程。

Abstract

[Objective] The temporal and spatial characteristics of desertification risk were analyzed for the Bortala Mongolian Autonomous Prefecture in order to provide a scientific basis and data support for ecological restoration

including formulation of sand prevention and control measures.[Methods] A desertification risk evaluation index system that included nine natural and socio-economic indicators was constructed by using ENVI and ArcGIS software to evaluate the risk of desertification. The characteristics of temporal and spatial changes were analyzed for the Bortala Mongolian Autonomous Prefecture from 2000 to 2020.[Results] ① The risk of desertification showed strong spatial heterogeneity in the Bortala Mongolian Autonomous Prefecture during 2000-2020. The extremely high risk and high risk areas were concentrated in Jinghe County and Alashankou City

located in the east of the Bortala Mongolian Autonomous Prefecture. The moderate risk and low risk areas were located in Bole City and Wenquan County in the central part of the Bortala Mongolian Autonomous Prefecture. The moderate risk level constituted the largest proportion of the total area (more than 40%). ② From 2000 to 2020

the risk of desertification shifted from extremely high risk to high risk

from high risk to moderate risk

and from moderate risk to low risk

showing a declining trend in risk of desertification. The extremely high risk area decreased by 3 160.3 km2

and the low risk area increased by 2 424.76 km2 by 2020. ③ From 2000 to 2020

the extremely high risk and the high risk centers of desertification moved eastward. The shift of the extremely high risk center was the most obvious

gradually moving to the east of Jinghe County. The medium risk and low risk centers did not change significantly

and they were located in Bole City and Wenquan County.[Conclusion] During 2000-2020

the desertification risk level was different in each area of the study area. Therefore

in order to prevent and control desertification

ecological restoration projects should be carried out reasonably and effectively according to local conditions.

关键词

Keywords

references

王涛, 朱震达.我国沙漠化研究的若干问题(Ⅰ):沙漠化的概念及其内涵[J].中国沙漠, 2003, 23(3):209-214.

郭泽呈, 魏伟, 石培基, 等.中国西北干旱区土地沙漠化敏感性时空格局[J].地理学报, 2020, 75(9):1948-1965.

Mouat D, Lancaster J, Wade T, et al.Desertification evaluated using an integrated environmental assessment model[J].Environmental Monitoring and Assessment, 1997, 48(2):139-156.

王涛, 宋翔, 颜长珍, 等.近35 a来中国北方土地沙漠化趋势的遥感分析[J].中国沙漠, 2011, 31(6):1351-1356.

薛娴, 王涛, 吴薇, 等.中国北方农牧交错区沙漠化发展过程及其成因分析[J].中国沙漠, 2005, 25(3):320-328.

Ladisa G, Todorovic M, Liuzzi G T.A GIS-based approach for desertification risk assessment in Apulia region, SE Italy[J].Physics and Chemistry of the Earth, Parts A/B/C, 2012, 49:103-113.

Chen Qiuying, Liu Jingling.Development process and perspective on ecological risk assessment[J].Acta Ecologica Sinica, 2014, 34(5):239-245.

殷贺, 王仰麟, 蔡佳亮, 等.区域生态风险评价研究进展[J].生态学杂志, 2009, 28(5):969-975.

张锋, 陈伟强, 马月红, 等.基于景观结构的黄河沿岸土地利用生态风险时空变化分析:以河南省为例[J].水土保持通报, 2021, 41(2):250-257.

la Rosa D, Martinico F.Assessment of hazards and risks for landscape protection planning in Sicily[J].Journal of Environmental Management, 2013, 127:S155-S167.

李潇然, 李阳兵, 韩芳芳.基于土地利用的三峡库区生态屏障带生态风险评价[J].水土保持通报, 2015, 35(4):188-194.

丁文广, 王丽娜, 耿怡颖.甘肃环县沙漠化时空演变及风险性预测分析[J].兰州大学学报(自然科学版), 2020, 56(01):48-55.

Dasgupta A, Sastry K L N, Dhinwa P S, et al.Identifying desertification risk areas using fuzzy membership and geospatial technique:A case study, Kota District, Rajasthan[J].Journal of Earth System Science, 2013, 122(4):1107-1124.

Kairis O, Kosmas C, Karavitis C, et al.Evaluation and selection of indicators for land degradation and desertification monitoring:Types of degradation, causes, and implications for management[J].Environmental Management, 2014, 54(5):971-982.

苏颖君, 张振海, 包安明.艾比湖生态环境恶化及防治对策[J].干旱区地理, 2002, 25(2):143-148.

李虎, 陈冬花, 慈龙骏, 等.新疆艾比湖地区土地荒漠化时空格局的变化[J].中国水土保持科学, 2008, 6(4):28-32.

曾小箕, 丁建丽, 樊亚辉.新疆艾比湖地区土地沙漠化时空演变及其成因[J].水土保持通报, 2014, 34(2):287-292.

王小平, 张飞, 李晓航, 等.艾比湖区域景观格局空间特征与地表水质的关联分析[J].生态学报, 2017, 37(22):7438-7452.

坤杜孜·萨塔尔, 吕光辉, 蒋腊梅, 等.艾比湖荒漠植物物种多度分布格局的尺度效应[J].干旱区研究, 2020, 37(5):1273-1283.

周驰, 何隆华, 杨娜.人类活动和气候变化对艾比湖湖泊面积的影响[J].海洋地质与第四纪地质, 2010, 30(2):121-126.

Stow D, Daeschner S, Hope A, et al.Variability of the seasonally integrated normalized difference vegetation index across the north slope of Alaska in the 1990s[J].International Journal of Remote Sensing, 2003, 24(5):1111-1117.

彭文甫, 王广杰, 周介铭, 等.基于多时相Landsat 5/8影像的岷江汶川-都江堰段植被覆盖动态监测[J].生态学报, 2016, 36(7):1975-1988.

Benabderrahmane M C, Chenchouni H.Assessing environmental sensitivity areas to desertification in Eastern Algeria using Mediterranean desertification and land use "MEDALUS" model[J].International Journal of Sustainable Water and Environmental Systems, 2010, 1(1):5-10.

岳喜元, 左小安, 赵学勇, 等.科尔沁沙地沙漠化风险评价[J].中国沙漠, 2018, 38(1):8-16.

沙占江, 曾永年, 李玲琴, 等.土地沙漠化动态监测的遥感与GIS一体化探讨:以龙羊峡库区为例[J].干旱区地理, 2000, 23(3):274-278.

柳蓉薇, 汪普庆.基于层次分析法的农产品供应链风险分析[J].农村经济与科技, 2021, 32(1):115-117.

武秋杰, 吕振福, 曹进成, 等.基于层次分析法的矿产资源节约集约利用水平评价[J].中国矿业, 2021, 30(1):33-39.

周利军, 张雪萍, 陈设.扎龙自然保护区土地利用变化与生态风险评价[J].自然灾害学报, 2009, 18(2):186-190.

Weiske A, Benckiser G, Herbert T, et al.Influence of the nitrification inhibitor 3, 4-dimethylpyrazole phosphate (DMPP) in comparison to dicyandiamide (DCD) on nitrous oxide emissions, carbon dioxide fluxes and methane oxidation during 3 years of repeated application in field experiments[J].Biology and Fertility of Soils, 2001, 34(2):109-117.

萨依拉·胡斯满.新疆精河县草原生态保护奖补政策实施的效果分析[J].草食家畜, 2019(3):56-61.

田菊.阿拉山口市寒潮天气过程成因及影响[J].现代农业科技, 2018(23):213-214.

陈胜, 辛渝.新疆阿拉山口地区大风气候特征[J].新疆气象, 2005(3):12-13.

樊亚辉.艾比湖区域近20 a土地沙漠化变化特征及其发展趋势研究[D].新疆乌鲁木齐:新疆大学, 2011.

谢霞, 塔西甫拉提·特依拜.艾比湖流域绿洲化与荒漠化过程时空演变研究[J].中国沙漠, 2013, 33(1):38-45.

邓煜霖, 姜红涛, 张飞, 等.艾比湖流域NDVI垂直梯度变化特征[J].中国沙漠, 2015, 35(2):508-513.

麻旭辉.艾比湖地区沙漠化驱动机制研究[D].新疆乌鲁木齐:新疆大学, 2009.

钱亦兵, 吴兆宁, 张立运, 等.新疆艾比湖地区沙尘天气的地表条件及土壤保持[J].资源科学, 2006, 28(5):185-189.

赵学鹏, 王媛媛, 卢龙辉.基于生态系统服务价值的艾比湖流域绿洲生态用地安全格局构建:以博尔塔拉蒙古自治州为例[J].江苏农业科学, 2021, 49(14):213-219.

毋兆鹏, 金海龙, 王范霞.艾比湖退化湿地的生态恢复[J].水土保持学报, 2012, 26(3):211-215.

Views

570

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Using TM to Monitor the Desertification in West China

Estimation of Sand Dunes Movement in the Northern Part of Shaanxi Province, China

Dynamic and Cumulative Analyses of Desertification in the Sandy Area of Dalate County

Influence of Land Use and Soil Properties on the Available Zn Concentration in Soils

Relations of Soil Physicochemical Properties and Soil Enzyme Activities with Plant C and N in Yulin Area of North Shaanxi Province

Related Author

WEI Ya-xing

WANG Li-wen

WANG Yi-mou

Mushtak Talib Jabbar Al-Temimi

YUAN Lin

SUN Dong-ying

Chen Yalin

Chang Xueli

Related Institution

Department of Public Relations and Tourism, Jiujiang University

Faculty of Earth Resources, China University of Geosciences

College of Geography and Resource Management, Ludong University

Work-station of Soil and Fertilisers, Agricultural Bureau of Fuyang County in Zhejiang Province

Internatinal Institute for Earth System Science, Nanjing University

⁰