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首页> 外文期刊>Ecological indicators >Impact of center pivot irrigation on vegetation dynamics in a farming-pastoral ecotone of Northern China: A case study in Ulanqab, Inner Mongolia
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Impact of center pivot irrigation on vegetation dynamics in a farming-pastoral ecotone of Northern China: A case study in Ulanqab, Inner Mongolia

机译：中心枢纽灌溉对中国北方农牧交错带植被动态的影响-以内蒙古乌兰察布为例

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摘要

Center pivot irrigation (CPI) has expanded rapidly in recent years due to drought in the Farming-Pastoral Ecotone of Northern China (FPENC). However, it is worth questioning whether the promotion of CPI will have adverse effects on highly vulnerable regions. Therefore, we quantify the CPI change patterns in FPENC and its vegetation cover response using trend analysis and spatial correlation methods in conjunction with Landsat images and MODIS data from 2000 to 2017. CPIs in Ulanqab are mainly distributed in the Houshan area, which is characterized by poor hydrothermal conditions. Policy orientation led to obvious phased characteristics of CPI, showing first an increasing trend from 2002 to 2015 and then a sharply decreasing trend by nearly 32.02% from 2015 to 2017. It is not sustainable to vigorously popularize CPI aimed at improving the agricultural production conditions in the Farming-Pastoral Ecotone of Northern China. During the growing season, the expansion of CPI will aggravate the degree of water stress in the area, causing vegetation degradation within 10,000m surrounding the CPIs and "pseudo-improvement" of the vegetation inside the CPIs. In the 0-10,000m buffer range, the correlation coefficient between the kernel density of CPI buffer pixels (CBKDE) and the kernel density of significantly degraded pixels (DPKDE) was largest in spring (0.243), followed by autumn (0.231) and summer (0.227). Furthermore, the degree of vegetation degradation was positively correlated with the size of CPIs, with correlation coefficients of 0.233 (R-large), 0.167 (R-medium) and 0.144 (R-small), respectively. These results can provide a strong basis for decision-making in formulating sustainable agricultural development strategies.
机译：由于中国北方农牧交错带（FPENC）的干旱，中心枢纽灌溉（CPI）近年来发展迅速。但是，值得质疑的是，CPI的上涨是否会对高度脆弱的地区产生不利影响。因此，我们结合趋势分析和空间相关方法，结合Landsat影像和MODIS数据，对2000-2017年FPENC的CPI变化规律及其植被覆盖响应进行了量化。乌兰察布的CPI主要分布在后山地区，其特征是热液条件差。政策导向导致CPI呈现明显的阶段性特征，从2002年至2015年呈上升趋势，然后从2015年至2017年呈急剧下降趋势，下降近32.02％。大力推广旨在改善中国农业生产条件的CPI是不可持续的。中国北方的农牧交错带。在生长季节中，CPI的膨胀将加剧该地区的水分胁迫程度，导致CPI周围10,000m内的植被退化，并导致CPI内部的植被“伪改良”。在0-10,000m的缓冲区范围内，CPI缓冲区像素（CBKDE）的内核密度与严重退化像素（DPKDE）的内核密度之间的相关系数在春季（0.243）最大，其次是秋季（0.231）和夏季（0.227）。此外，植被退化的程度与CPI的大小呈正相关，相关系数分别为0.233（R大），0.167（R中）和0.144（R小）。这些结果可为制定可持续农业发展战略提供强有力的决策依据。

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  • 来源
    《Ecological indicators》 |2019年第6期|274-284|共11页
  • 作者

    Chen Xin; Wang Fangtian; Jiang Li; Huang Can; An Pingli; Pan Zhihua;

  • 作者单位

    China Agr Univ, Coll Land Sci & Technol, 2 Yuanmingyuan West Rd, Beijing 100193, Peoples R China|Minist Land & Resources, Key Lab Land Qual, Beijing 100193, Peoples R China;

    China Agr Univ, Coll Land Sci & Technol, 2 Yuanmingyuan West Rd, Beijing 100193, Peoples R China|Minist Land & Resources, Key Lab Land Qual, Beijing 100193, Peoples R China;

    China Agr Univ, Coll Land Sci & Technol, 2 Yuanmingyuan West Rd, Beijing 100193, Peoples R China|Minist Land & Resources, Key Lab Land Qual, Beijing 100193, Peoples R China;

    China Agr Univ, Coll Land Sci & Technol, 2 Yuanmingyuan West Rd, Beijing 100193, Peoples R China|Minist Land & Resources, Key Lab Land Qual, Beijing 100193, Peoples R China;

    China Agr Univ, Coll Land Sci & Technol, 2 Yuanmingyuan West Rd, Beijing 100193, Peoples R China|Minist Land & Resources, Key Lab Land Qual, Beijing 100193, Peoples R China;

    China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Center pivot irrigation; Vegetation dynamics; Agricultural intensification; NDVI; Farming-pastoral Ecotone of Northern China;

    机译：中枢灌溉植被动态农业集约化NDVI中国北方农牧交错带;

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