Back to Search Start Over

Verification of'Trend-Volatility Model'in Short-Term Forecast of Grain Production Potential

Authors :
MI Chang-hong
LIU Shu-tian
ZHENG Hong-yan
LI Jing-ya
HUANG Zhi-ping
HOU Yan-lin
Source :
Journal of Agricultural Resources and Environment, Vol 33, Iss 2, Pp 194-200 (2016)
Publication Year :
2016
Publisher :
Agro-Environmental Protection Institute, Ministry of Agriculture, 2016.

Abstract

The "trend-volatility model" in short-term forecasting of grain production potential was verified and discussed systematically by using the grain production data from 1949 to 2014, in 16 typical counties and 6 typical districts, and 31 provinces, of China. The results showed as follows:(1) Size of forecast error reflected the precision of short-term production potential, the main reason of large prediction error was a great amount of high yield farmlands were occupied in developed areas and a great increase of vegetable and fruit planted that made grain yield decreased in a short time;(2) The micro-trend amendment method was a necessary part of "trend-volatility model", which could involve the short-term factors such as meteorological factors, science and technology input, social factors and other effects, while macro-trend prediction could not. Therefore, The micro-trend amendment method could improve the forecast precision.(3) In terms of actual situation in recent years in China, the more developed the areas was, the bigger the volatility of short-term production potential was; For the short-term production potential, the stage of increasing-decreasing-recovering also existed in developed areas;(4) In the terms of forecast precision of short-terms production potential, the scale of national was higher than the scale of province, the scale of province was higher than the scale of district, the scale of district was higher than the scale of county. And it was large differences in precision between different provinces, different districts and different counties respectively, which was concerned to the complementarity of domestic climate and the ability of the farmland resistance to natural disasters.

Details

Language :
Chinese
ISSN :
20956819
Volume :
33
Issue :
2
Database :
OpenAIRE
Journal :
Journal of Agricultural Resources and Environment
Accession number :
edsair.doajarticles..dd7412a5428671a2094591fb7f8969c4