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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:爬上山丘:肯尼亚南方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:推动土地利用和陆地覆盖(LULC)的主要因素是与扩大农业生产相关的人口增长。在肯尼亚霍比亚县的Lambwe Valley,最近几十年来加速人口增长的最重要原因是对TSetse飞行的控制,锥虫病的生物载体。我们研究的目标是在过去30年中量化Lulc在Lambwe Valley的变化,特别关注Ruma国家公园。我们从1984年,2002年和2014年分类了三个Lampwe Valley的Landsat图像,由随机森林。 Ruma国家公园本身展示了一个多样化的组合,可能是频繁的火灾,导致大草原的短期减少。尽管如此,国家公园受到很好的保护,无法观察到任何深刻的变化。在国家公园外,农业面积增长约12%,粮草和茂密的森林,用于在较高的高度上生长,分别下降约8%和6%。特别是,农业扩展到更高的高度较高的斜坡,因此导致土壤侵蚀的风险更大。

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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