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牧草干物质产量的时空变异及其制图研究
引用本文:许红卫,周斌,王人潮.牧草干物质产量的时空变异及其制图研究[J].农业工程学报,2003,19(4):159-163.
作者姓名:许红卫  周斌  王人潮
作者单位:1. 浙江大学农业遥感与信息技术应用研究所,杭州,310029
2. Department,of,Agri,culture,for,Northern,Ireland,UK
基金项目:中英文化交流项目(SHA/992/308);国家自然科学基金项目(40101014)
摘    要:以英国Hillsborough农业研究所附近的一块7.9 hm2的牧草田为研究区,采用地统计方法研究分析连续3年的牧草干物质产量在3个收割季节的空间变异,并研究了第一、二季其空间分布的变异在时间上的稳定性,在此基础上制作了牧草干物质产量分级管理地图。第三季由于天气原因未能收集到2001年的数据而未做时间稳定性研究。结果表明,牧草产量在第一季的空间变异最小且在时间上基本稳定,因此,在第一季,根据牧草干物质产量分级管理地图对该牧草地进行精确管理,特别是精确肥料管理,是可行的;而在第二季,牧草产量的空间分布非常零散,且在时间上表现为不稳定,目前还很难对该牧草地进行精确管理。

关 键 词:牧草地    干物质产量    空间变异    时间变异
文章编号:1002-6819(2003)04-0159-05
收稿时间:2002/11/5 0:00:00
修稿时间:2002年11月5日

Temporal and spatial variability of sward dry matter yield patterns and mapping
Xu Hongwei,Zhou Bin and Wang Renchao.Temporal and spatial variability of sward dry matter yield patterns and mapping[J].Transactions of the Chinese Society of Agricultural Engineering,2003,19(4):159-163.
Authors:Xu Hongwei  Zhou Bin and Wang Renchao
Abstract:In this study, the spatial patterns of dry matter (DM) yield in a grass silage field at first, second and third cuts over a three-year period were evaluated, and temporal variability of sward at the first and the second cut was quantified and classified management maps for DM yield were produced for these two cuts. Unfortunately, the absence of third cut data in 2001 meant that an analysis of temporal stability could not be made on the yield patterns for this late season crop. A 7.9 hm2 grassland field close to the Agricultural Research Institute at Hillsborough, Northern Ireland, was selected for the study. At cut 1, the spatial patterns of DM proved to be well defined and temporally stable. In contrast, at cut 2, the patterns of DM production were patchy and temporally unstable. It was concluded that site-specific management approach to fertilization according to the classified management map, in spring, ought to be feasible. At later harvests, site-specific management approach to fertilizer management was difficult.
Keywords:grassland  dry matter yield  spatial variability  temporal stability
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