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Assessing the impact of ecological and economic factors on land degradation vulnerability through multiway analysis

机译:通过多因素分析评估生态和经济因素对土地退化脆弱性的影响

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摘要

Land degradation (LD) is a global problem which involves climate, soil, vegetation, economic, and population conditions. In Mediterranean Europe climatic variability and human pressure combine to produce soil sealing, erosion, salinisation, fire risk, and landscape fragmentation, all regarded as important factors to start LD. The aim of this paper is to introduce a time-series evaluation of land vulnerability to degradation based on nine ecological and economic variables. The analysis was carried out over 1970-2000 at the municipality level in Latium (central Italy), a region which has shown increasing land vulnerability in the last years. A multiway data analysis (MDA) was applied in order to explore the relationship among indicators over the study period. Their importance in determining LD vulnerability was estimated through a weighting system based on MDA results. A composite index of land vulnerability (LVI) was obtained as the weighted average of the nine variables transformed into single indicators, according to their relationship with LD. Considerable increases in LVI were observed in dry coastal and lowland municipalities close to Rome, thus indicating that climate aridity, population growth, and land use changes are important determinants of land vulnerability in Latium. LVI was positively correlated to the environmental sensitive area index (ESAI) measured on the same spatial and time scales, thus suggesting that a sound evaluation of land vulnerability is possible through LVI score.
机译:土地退化(LD)是一个全球性问题,涉及气候,土壤,植被,经济和人口状况。在地中海欧洲,气候变化和人为压力共同导致土壤封闭,侵蚀,盐碱化,火灾风险和景观破碎化,所有这些都被认为是开始土地退化的重要因素。本文旨在基于9个生态和经济变量,对土地退化的脆弱性进行时间序列评估。该分析是在1970-2000年在Latium(意大利中部)的市政当局进行的,该地区在过去几年中显示出日益严重的土地脆弱性。为了研究研究期间指标之间的关系,应用了多路数据分析(MDA)。通过基于MDA结果的加权系统估计了它们在确定LD漏洞中的重要性。根据土地脆弱性的综合指数,将九个变量的加权平均值转换为单一指标,并根据它们与LD的关系得出。在靠近罗马的干旱沿海和低地城市中观察到的LVI显着增加,因此表明气候干旱,人口增长和土地利用变化是拉脱维亚土地脆弱性的重要决定因素。 LVI与在相同空间和时间尺度上测得的环境敏感面积指数(ESAI)呈正相关,因此表明通过LVI评分可以对土地脆弱性进行合理的评估。

著录项

  • 来源
    《Ecological indicators》 |2009年第2期|357-363|共7页
  • 作者

    Luca Salvati; Marco Zitti;

  • 作者单位

    Italian National Institute of Statistics (ISTAT), Viale Liegi 13,I-00198 Rome, Italy c/o Department of National Accounting and Analysis of Social Processes, Faculty of Statistics, University of Rome 'La Sapienza', Piazzale A. Moro 5,I-00185 Rome, Italy;

    Consultant of Central Office for Crop Ecology, National Research Council in Agriculture (CRA-UCEA), Via del Caravita 7a, I-00186 Rome, Italy;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    land degradation; indicators; multiway analysis; composite index; weighting system; mediterranean basin;

    机译:土地退化;指标;多路分析;综合指数加权系统;地中海盆地;

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