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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:中心枢轴灌溉对北方农业牧区牧区植被动态的影响 - 以内蒙古乌兰QAB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:近年来,近年来,中心枢轴灌溉(CPI)由于中国北方农业 - 田园(FPENC)的田园牧场的干旱而迅速扩大。但是,值得质疑CPI的促销是否对高度脆弱的地区产生不利影响。因此,我们使用趋势分析和空间相关方法与2000年至2017年的Landsat图像和Modis数据一起量化FPENC中的CPI变化模式及其植被覆盖响应。Ulanqab中的CPI主要分布在Houshan地区,其特征在于差的水热条件。政策方向导致了CPI的明显相称特征,从2002年到2015年显示了较高的趋势,然后从2015年到2017年略微下降了近32.02%。它不断推广CPI,旨在改善农业生产条件的CPI中国北方的农业牧区经社区。在生长季节期间,CPI的扩展将加剧该地区的水分压力程度,导致植被降解在CPI周围的10,000米内,并在CPI内植被的“伪改善”。在0-10,000M缓冲范围内,CPI缓冲像素(CBKDE)的核密度与显着降解像素(DPKDE)的核密度之间的相关系数最大(0.243),其次是秋季(0.231)和夏季(0.227)。此外,植被劣化程度与CPI的尺寸呈正相关,分别具有0.233(R-大),0.167(R-培养基)和0.144(R-小)的相关系数。这些结果可以为制定可持续农业发展战略的决策提供强有力的基础。

著录项

  • 来源
    《Ecological indicators》 |2019年第6期|274-284|共11页
  • 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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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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

    机译:中心枢轴灌溉;植被动态;农业强化;NDVI;中国北方的农牧牧场;

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