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Assessment and Driving Factors of Desertification Vulnerability in the Mu Us Sandy Land,China:A MEDALUS-Based Approach
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作者 Yu Ren Xidong Chen 《Journal of Environmental & Earth Sciences》 2025年第6期213-226,共14页
As a major worldwide issue,desertification poses significant threats to ecosystem stability and long-term socioeconomic growth.Within China,the Mu Us Sandy land represents a crucial region for studying desertification... As a major worldwide issue,desertification poses significant threats to ecosystem stability and long-term socioeconomic growth.Within China,the Mu Us Sandy land represents a crucial region for studying desertification phenomena.Comprehending how desertification risks are distributed spatially and what mechanisms drive them remains fundamental for implementing effective strategies in land management and risk mitigation.Our research evaluated desertification vulnerability across the Mu Us Sandy land by applying the MEDALUS model,while investigating causal factors via geographical detector methodology.Findings indicated that territories with high desertification vulnerability extend across 71,401.7 km^(2),constituting 76.87%of the entire region,while zones facing extreme desertification hazard cover 20,578.9 km^(2)(22.16%),primarily concentrated in a band-like pattern along the western boundary of the Mu Us Sandy land.Among the four primary indicators,management quality emerged as the most significant driver of desertification susceptibility,followed by vegetation quality and soil quality.Additionally,drought resistance,land use intensity,and erosion protection were identified as the key factors driving desertification sensitivity.The investigation offers significant theoretical perspectives that can guide the formulation of enhanced strategies for controlling desertification and promoting sustainable land resource utilization within the Mu Us Sandy land region. 展开更多
关键词 Desertification Risk medalus Geographical Detector Method Driving Factors
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基于AHP与改进型MEDALUS模型耦合的科尔沁沙地土地沙漠化敏感性综合评价 被引量:2
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作者 段翰晨 黄背英 《中国沙漠》 CSCD 北大核心 2024年第4期137-148,共12页
科尔沁沙地是“三北”防护林工程的重要区域,开展区内沙漠化研究具有特殊的必要性和紧迫性。本研究创新性地引入层次分析法(AHP),筛选与优化地中海荒漠化和土地利用模型(MEDALUS)因子,构建新的土地沙漠化敏感性评价指标体系,综合考虑气... 科尔沁沙地是“三北”防护林工程的重要区域,开展区内沙漠化研究具有特殊的必要性和紧迫性。本研究创新性地引入层次分析法(AHP),筛选与优化地中海荒漠化和土地利用模型(MEDALUS)因子,构建新的土地沙漠化敏感性评价指标体系,综合考虑气候、土壤、植被、土地管理和社会经济5个方面的指标来评估科尔沁沙地土地沙漠化敏感性。在此基础上,引入地理探测器模型对科尔沁沙地土地沙漠化敏感性空间分异的影响因素进行了探讨。结果表明:(1)土地沙漠化敏感性评价指标体系中植被质量指数权重最高,为0.4624,其次为气候和土壤质量指数。(2)科尔沁沙地沙漠化敏感区域占研究区总面积的78.22%,受沙漠化影响的敏感区域范围较广;极敏感和高度敏感区所占比重虽然较小(8.77%),但分布相对集中且沙漠化程度严重。(3)单因子探测结果显示,土壤质地对土地沙漠化敏感性空间分异的影响最显著,其次是土壤含水量;而交互作用结果显示,抗旱性、NPP、气温、土壤含水量和土壤质地等因子在特定组合下会极大增强其对土地沙漠化敏感性空间分异的影响。 展开更多
关键词 层次分析法 medalus模型 沙漠化敏感性 地理探测器 科尔沁沙地
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基于MEDALUS模型的塔里木河流域土地荒漠化敏感性评估
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作者 唐梦迎 张海军 +3 位作者 丁建丽 李玲 王保才 赵娟 《中国资源综合利用》 2024年第12期219-224,共6页
塔里木河流域面临植被退化、土地荒漠化等生态问题,为解决这一问题,需要开展荒漠化敏感性评估。采用遥感、全球定位系统和地理信息系统,构建土壤、植被、气候和管理质量等指标定量评估,利用地中海荒漠化与土地利用(Mediterranean Desert... 塔里木河流域面临植被退化、土地荒漠化等生态问题,为解决这一问题,需要开展荒漠化敏感性评估。采用遥感、全球定位系统和地理信息系统,构建土壤、植被、气候和管理质量等指标定量评估,利用地中海荒漠化与土地利用(Mediterranean Desertification and Land Use,MEDALUS)模型计算敏感性指数获取荒漠化敏感区,在此基础上分析荒漠化敏感性的驱动因素。结果表明,塔里木河流域属于极高敏感区。荒漠化敏感性的空间格局是中部高、北部低,主要由与人类活动有关的管理质量指数决定。从绿洲内至绿洲外,荒漠化敏感性逐渐升高,大致呈层状分布,表明人类活动对荒漠化影响显著,建议加强和巩固绿洲外围的防护体系建设。 展开更多
关键词 土地荒漠化 敏感性 地中海荒漠化与土地利用(medalus)模型 塔里木河流域
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Assessment of desertification sensitivity using an improved MEDALUS model in Northern China
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作者 NingJing Tan CaiXia Zhang +1 位作者 YingYing Wu ZhenTing Wang 《Research in Cold and Arid Regions》 CSCD 2024年第3期141-148,共8页
Assessment of land sensitivity to desertification is an important step to support desertification monitoring and control.Based on the Mediterranean Desertification and Land Use(MEDALUS)model,we defined four quality in... Assessment of land sensitivity to desertification is an important step to support desertification monitoring and control.Based on the Mediterranean Desertification and Land Use(MEDALUS)model,we defined four quality indicators(soil,climate,vegetation and management)to evaluate the sensitivity of land in northern China to desertification.We improved MEDALUS via excluding cities from the areas at risk of desertification by means of defining a threshold value for population density.The framework,validated in northern China,further optimizes the model to link priority areas and land restoration programmed to support desertification control.We found that the four indicators influenced and restricted each other,which jointly affected the distribution of desertification sensitivity in northern China.The spatial distribution of sensitivity in northern China showed large regional differences,with clear boundaries and concentrated distributions of regions with high and low sensitivity;the overall sensitivity decreased,with some areas rated as having moderate,severe,and extremely severe sensitivity changing to slight sensitivity;and the influence weight was much higher for the management quality index than for the climate,vegetation,and soil indexes.This suggests that management was the main factor that affected desertification sensitivity in northern China,and that climate factors exacerbated sensitivity,but the factors that are driving the spatial heterogeneity of the influencing factors need further study。 展开更多
关键词 DESERTIFICATION Sensitivity medalus Factor analysis Northern China
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2001—2020年呼伦贝尔草原土地沙漠化敏感性时空格局演化
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作者 勿吉斯古冷 那日苏 +4 位作者 丽娜 银山 乌云达来 李明星 赖韶杰 《干旱区地理》 北大核心 2025年第5期825-837,共13页
沙漠化是对人类社会影响最严重的环境问题之一,探究沙漠化敏感性的时空变化以及揭示其驱动因素是防治沙漠化的关键。基于地中海荒漠化与土地利用(MEDALUS)模型,采用GIS空间分析、地理探测器等方法,以多种自然因素和人类活动因素结合构... 沙漠化是对人类社会影响最严重的环境问题之一,探究沙漠化敏感性的时空变化以及揭示其驱动因素是防治沙漠化的关键。基于地中海荒漠化与土地利用(MEDALUS)模型,采用GIS空间分析、地理探测器等方法,以多种自然因素和人类活动因素结合构建沙漠化敏感性评估模型,揭示呼伦贝尔草原沙漠化敏感性的时空演变规律及其驱动机制。结果表明:(1)2001—2020年,呼伦贝尔草原沙漠化敏感性程度呈下降-上升-下降趋势,其中,2001—2010年呈下降趋势,2010—2015年上升,2015—2020年再次出现下降现象。(2)在空间分布上,呼伦贝尔草原沙漠化敏感性程度由西向东降低,依次分布为极度、高度、中度、轻度和不敏感。(3)气候、植被及土壤要素对沙漠化敏感性的影响力最大,其次是人为干扰要素,而地形要素影响最低,并且任意2个要素的交互作用都大于单个要素。研究结果可为呼伦贝尔草原沙漠化防治和策略的制定提供借鉴。 展开更多
关键词 沙漠化敏感性 medalus模型 地理探测器 呼伦贝尔草原
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共和盆地土地荒漠化敏感性评估
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作者 贾虹 刘连友 刘吉夫 《中国沙漠》 北大核心 2025年第1期1-9,共9页
共和盆地位于青藏高原气候变化的敏感区域,由于极端的气候条件和不合理的人类活动,正面临严重的荒漠化威胁。基于气候质量指数(CQI)、植被质量指数(VQI)、土壤质量指数(SQI)和管理质量指数(MQI),利用MEDALUS模型,评估共和盆地2000-2020... 共和盆地位于青藏高原气候变化的敏感区域,由于极端的气候条件和不合理的人类活动,正面临严重的荒漠化威胁。基于气候质量指数(CQI)、植被质量指数(VQI)、土壤质量指数(SQI)和管理质量指数(MQI),利用MEDALUS模型,评估共和盆地2000-2020年荒漠化敏感性的时空分布特征,并利用地理探测器模型探究荒漠化敏感性的驱动机制。结果表明:(1)共和盆地土地荒漠化以中高敏感性为主,呈现出中部高、四周低的空间格局。(2)2000-2020年共和盆地荒漠化敏感性显著降低,高、极高荒漠化敏感性的土地面积明显减少。(3)气候质量指数、植被质量指数对荒漠化敏感性的影响高于土壤质量指数和管理质量指数;共和盆地的荒漠化敏感性受自然与人为因素共同影响,植被质量指数与管理质量指数相互作用是荒漠化敏感性的主导因素。 展开更多
关键词 荒漠化 medalus 敏感性评估 地理探测器 共和盆地
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科尔沁沙地土地荒漠化敏感性评估 被引量:6
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作者 任雨 张勃 陈曦东 《中国沙漠》 CSCD 北大核心 2023年第2期159-169,共11页
科尔沁沙地是中国四大沙地之一,也是京津冀风沙源的重要组成部分,其荒漠化加剧不仅直接对京津冀地区的气候环境产生了恶劣影响,还严重威胁了自然资源的可持续性。本文以MEDALUS模型为基础,利用遥感和地理信息系统技术,对科尔沁沙地土地... 科尔沁沙地是中国四大沙地之一,也是京津冀风沙源的重要组成部分,其荒漠化加剧不仅直接对京津冀地区的气候环境产生了恶劣影响,还严重威胁了自然资源的可持续性。本文以MEDALUS模型为基础,利用遥感和地理信息系统技术,对科尔沁沙地土地荒漠化风险进行了评估。利用土壤质量指数、植被质量指数、气候质量指数和管理质量指数,构建了科尔沁沙地土地荒漠化敏感指数图。结果表明:科尔沁沙地土地荒漠化敏感指数极高区域2 986.60 km^(2),占研究区总面积的2.02%;高区域6 678.00 km^(2),占4.52%;中等区域89 633.18 km^(2),占60.71%;低区域48 352.20 km^(2),占32.75%。评估发现:(1)MEDALUS模型适用于科尔沁沙地土地荒漠化敏感性评估,其中荒漠化敏感指数极高的区域集中在科尔沁沙地腹地老哈河两侧,以翁牛特旗中东部、奈曼旗西北部和库伦旗中部为主;(2)土壤质量指数对荒漠化敏感性的影响高于植被质量指数、气候质量指数和管理质量指数,因此在科尔沁沙地防沙治沙工程中,可以从改善土壤质量入手,减轻科尔沁沙地的土地荒漠化风险;(3)以土地利用类型为主要驱动力,通辽市周边、长岭县西北部、科尔沁左翼中旗、双辽市、彰武县北部等地的荒漠化风险有所增加。地形坡度对科尔沁沙地荒漠化敏感性影响不大。 展开更多
关键词 科尔沁沙地 土地荒漠化 medalus GIS 质量指数 敏感指数
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疏勒河中下游土地荒漠化敏感性评估 被引量:7
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作者 吴盈盈 王振亭 《中国沙漠》 CSCD 北大核心 2022年第4期163-171,共9页
土地荒漠化是疏勒河流域面临的关键环境问题,加强该区域的荒漠化敏感性评估对有效控制荒漠化至关重要。通过集成多源GIS与遥感数据,构建土壤、植被、气候和管理定量评估指标,利用地中海荒漠化与土地利用模型(MEDALUS)计算环境敏感性指数... 土地荒漠化是疏勒河流域面临的关键环境问题,加强该区域的荒漠化敏感性评估对有效控制荒漠化至关重要。通过集成多源GIS与遥感数据,构建土壤、植被、气候和管理定量评估指标,利用地中海荒漠化与土地利用模型(MEDALUS)计算环境敏感性指数,识别荒漠化敏感区,在此基础上分析荒漠化敏感性的成因,并引入变异系数法确定荒漠化敏感性的主要影响因素。结果表明:目前疏勒河中下游荒漠化态势严峻,17.70%的区域属于极高敏感区,54.34%属于较高敏感区。荒漠化敏感性的空间格局是中部高、北部低,主要由与人类活动有关的管理质量指数决定。从绿洲内至绿洲外荒漠化敏感性逐渐升高,大致呈层状分布,表明人类活动对荒漠化影响显著,建议加强和巩固绿洲外围的防护体系建设。 展开更多
关键词 荒漠化敏感性 medalus模型 变异系数法 疏勒河中下游
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Desertification hazard zoning in Sistan Region, Iran 被引量:1
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作者 Seyed Mahmood HOSSEINI Sahar SADRAFSHARI Mehdi FAYZOL.AHPOUR 《Journal of Geographical Sciences》 SCIE CSCD 2012年第5期885-894,共10页
Desertification process as a great problem affects most of the countries in the world. This process has a high rate in arid and semiarid areas. Today, human societies are en- countering the desertification phenomenon ... Desertification process as a great problem affects most of the countries in the world. This process has a high rate in arid and semiarid areas. Today, human societies are en- countering the desertification phenomenon as a serious problem which causes various ir- reparable damages to economic and social sectors. In order to assess desertification results in production of different regional models for their application in another region the indices should be re-investigated and adjusted to local conditions. Several models have been de- veloped for desertification evaluation. The present study, attempts to assess quantitatively the desertification process has in an area located at Sistan plain of Iran (Niatak region as a case study) by using Modified MEDALUS method. The obtained results indicated that of the whole studied region (comprising 4819.6 acres), 2651.56 acres (55%) are located in medium de- sertification intensity class, 1269.48 acres (26.34%) are positioned in severe desertification intensity class, and 898.54 acres (18.64%) are placed in vary severe desertification intensity class. 展开更多
关键词 DESERTIFICATION modified medalus model desertification process Niatak region
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Factor influencing land degradation sensitivity and desertification in a drought prone watershed in Thailand 被引量:7
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作者 Saowanee Wijitkosum 《International Soil and Water Conservation Research》 SCIE CSCD 2021年第2期217-228,共12页
This study aimed to assess land degradation sensitivity of an area contributing to desertification risk in Lam Ta Kong Watershed using Environmental Sensitivity Area Index(ESAI).Five risk factors comprised climatic,so... This study aimed to assess land degradation sensitivity of an area contributing to desertification risk in Lam Ta Kong Watershed using Environmental Sensitivity Area Index(ESAI).Five risk factors comprised climatic,soil,geographical,land utilization and vegetation,and water resources factors together with fifteen sub-factors were used to analyze the sensitivity to land degradation.The spatial analysis was calculated using Geographic Information System(GIS)and Remote Sensing(RS)techniques.The key factors influencing land degradation risks in the watershed area were analyzed using the triangular fuzzy numbers(TFNs)method.The results showed that approximately 33%of Lam Ta Kong watershed was affected by a high desertification risk excluded the water bodies and around 24.64%of the area suffered from a moderate risk.This research pointed out that key factors causing land degradation and desertification in the watershed area were related to the soil factors,followed by climatic,geographical factors,water resources,and land utilization and vegetation,respectively.The results of this study can be used as a database for planning and implementing area-based mitigations and measures as well as for land use planning in the watershed area. 展开更多
关键词 Land degradation DESERTIFICATION Critical factor medalus Triangular fuzzy numbers
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Spatial assessment of the areas sensitive to degradation in the rural area of the municipality (C)ukarica 被引量:1
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作者 Natalija Momirovi(c) Ratko Kadovi(c) +2 位作者 Veljko Perovi(c) Milo(s)Marjanovi(c) Aleksandar Baumgertel 《International Soil and Water Conservation Research》 SCIE CSCD 2019年第1期71-80,共10页
In this paper,the assessment of the sensitivity of the soil in the rural area of (C)ukarica municipality to the processes of degradation is considered.Land areas,especially in the vicinity of large cities,are exposed ... In this paper,the assessment of the sensitivity of the soil in the rural area of (C)ukarica municipality to the processes of degradation is considered.Land areas,especially in the vicinity of large cities,are exposed to numerous processes of degradation:soil erosion,urban and industrial zone expansion at the expense of fertile agricultural soils,activation of landslides and a number of other significant ecological problems.Based on the characteristics of the research area,the MEDALUS (Mediterranean Desertification and Land Use) model was applied,and for the assessment of sensitivity to the processes of degradation the main quality indicators were considered:soil,climate,vegetation and management.For each of the analyzed quality indicators,parameter groups were identified.Each parameter is quantified according to the defined method by giving them a sensitivity coefficient between 1.0 and 2.0.ArcGIS 10.0 has been applied to analyze and prepare layers of quality maps.Subsequently,the geometric mean for all four quality indicators was used to generate the map of environmental sensitivity to degradation.The results obtained show that 41.54% of the study area is classified as critical;22.34% of the surface as fragile;8.47% of the areas are potentially endangered and 9.58% not threatened to degradation processes.The results have also shown that MEDALUS model is a functional tool for simulations which support sustainable land management in the areas prone to degradation. 展开更多
关键词 medalus LAND DEGRADATION LANDSLIDES Human pressures GIS MAPPING
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