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首页> 外文期刊>International journal of remote sensing >Climbing up the hills: expansion of agriculture around the Ruma National Park, Kenya
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Climbing up the hills: expansion of agriculture around the Ruma National Park, Kenya

机译:爬山:肯尼亚鲁马国家公园周围的农业扩张

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摘要

A major factor driving changes in land use and land cover (LULC) is the human population growth associated with an expanded agricultural production. In the Lambwe valley in Homabay County, Kenya, the most important reason for accelerated population growth in the last decades was the control of the tsetse fly, the biological vector of trypanosomiasis. The goal of our study is to quantify the changes of LULC in the Lambwe valley in the last 30 years, giving special attention to the Ruma National Park. We classified three Landsat images of the Lambwe valley from 1984, 2002, and 2014 by Random Forests. The Ruma National Park itself showed a diverse composition probably supported by frequent fires that lead to a short-term reduction of savanna. Nevertheless, the national park is well protected, and no profound changes could be observed. Outside the national park, agricultural area increased by about 12%, savanna and the dense forest, that used to grow at higher altitudes, decreased by about 8% and 6%, respectively. In particular, agriculture expands towards higher altitudes with steeper slopes thus leading to a larger risk of soil erosion.
机译:推动土地利用和土地覆被变化的主要因素是与农业生产扩大相关的人口增长。在肯尼亚霍马贝县的兰布韦河谷中,过去几十年来人口加速增长的最重要原因是控制了采采蝇,这是锥虫病的生物媒介。我们的研究目标是量化近30年来Lambwe谷地LULC的变化,尤其要注意Ruma国家公园。我们通过Random Forests对1984年,2002年和2014年的Lambwe谷地的三幅Landsat影像进行了分类。鲁马国家公园本身显示出多种多样的成分,可能是由于频繁发生大火而导致大草原的短期减少。然而,国家公园受到了很好的保护,没有发现任何深刻的变化。在国家公园外,农业面积增加了约12%,曾经在较高海拔地区生长的稀树草原和茂密的森林分别减少了8%和6%。尤其是,农业向高海拔地区倾斜时会变得更陡峭,从而导致更大的水土流失风险。

著录项

  • 来源
    《International journal of remote sensing》 |2019年第18期|6720-6736|共17页
  • 作者单位

    Univ Bayreuth, BayCEER, Ecol Modelling, Bayreuth, Germany;

    Univ Bayreuth, BayCEER, Dept Plant Ecol, Bayreuth, Germany|Jaramogi Oginga Odinga Univ Sci & Technol, Dept Bot, Bondo, Kenya;

    Univ Bayreuth, BayCEER, Ecol Modelling, Bayreuth, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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