基于放牧时空轨迹的天然草地利用评估模型
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金项目(41461088)


Evaluation Model for Natural Grassland Utilization Based on Spatio-temporal Trajectory of Grazing Livestock
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为了快速大范围获取草地利用情况,提出了一种基于放牧时空轨迹的天然草地利用评估模型。该模型根据牧群的放牧轨迹数据集,利用网格分析法计算牧群采食强度,通过模糊数学中的降半梯形、升半梯形及中间对称型分布,建立简单隶属函数对采食强度进行识别,进而获得草地利用分布情况以及不同利用强度下的草地有效利用面积。以2015年和2016年为实例,对新疆生产建设兵团农八师一五一团紫泥泉牧场草地利用情况进行估算,并对模型进行验证,模型精度达86.67%。结果表明,该评估模型能较好地反映草地利用情况;2015年和2016年研究区均有45%以上的草地未被利用,仅有3.7%左右的草地被适度利用;在被利用的草地中,2015年7月,76.53%的草地利用较差,仅有4.77%的草地利用较好;2016年7月,48.84%的草地利用较差,11.92%的草地利用较好。

    Abstract:

    Grasslands are important ecological barriers and livestock production base. The study on the spatial distribution of grassland utilization and the effective use of grassland was of great significance for the rational planning of grassland and the sustainable utilization of grassland. To obtain the grassland utilization on a large scale, a natural grassland utilization evaluation model based on the temporal and spatial trajectories of grazing was proposed. In order to quantify grazing pressure, a feeding intensities (FI) map was created by using a grid cell method with the tracking data recorded by the global positioning system (GPS), because GPS can collect information in real time. In addition, feeding intensities were divided by fuzzy mathematics. So far, there was no standard for dividing the use of grassland, and different areas and types of grassland utilization cannot find the exact classification criteria. If it was strictly classified according to the classification interval, it would cause the boundary too rigid between the intervals. Therefore, fuzzy mathematics was used to evaluate grassland utilization. A simple membership function was established based on the lower semi-trapezoid distribution function, the semi-trapezoid distribution function and the middle symmetrical distribution in fuzzy mathematics, and the maximum membership degree principle were applied to determine grassland utilization. Therefore, the grassland utilization and the effective utilization area of grassland were obtained. Taking pasture of the 151 regiments of the Eighth Agricultural Division of Xinjiang and Construction Corps in 2015 and 2016 as an example, the grassland utilization was estimated, and the precision of the model was 86.67%. The result showed that the evaluation model could reflect the utilization of grassland better. More than 45% of the grassland was not used, and only about 3.7% of the grassland was used moderately. In the used meadows, in July 2015, the poor utilization of grassland accounted for 76.53%, and the good utilization of grassland only accounted for 4.77%. In July 2016, the poor utilization of grassland was 48.84%, and the good utilization of grassland only accounted for 11.92%. The model provided a scientific basis for the relevant departments on monitoring the utilization of grassland.

    参考文献
    相似文献
    引证文献
引用本文

汪传建,江红红,鲁为华,张雅,孙世泽,李冬.基于放牧时空轨迹的天然草地利用评估模型[J].农业机械学报,2018,49(8):181-186. WANG Chuanjian, JIANG Honghong, LU Weihua, ZHANG Ya, SUN Shize, LI Dong. Evaluation Model for Natural Grassland Utilization Based on Spatio-temporal Trajectory of Grazing Livestock[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(8):181-186

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2018-01-29
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2018-08-10
  • 出版日期: