植物生态学报 ›› 2025, Vol. 49 ›› Issue (典型生态系统数据集): 0-0.DOI: 10.17521/cjpe.2024.0332

• •    下一篇

2005-2015年下辽河平原农田长期观测样地主要农作物收获期性状和产量动态数据集

樊月玲,蒋正德,叶佳舒,郑立臣,陈欣   

  1. 中国科学院沈阳应用生态研究所
  • 收稿日期:2024-09-29 修回日期:2025-01-14 出版日期:2025-06-20 发布日期:2025-03-26

Data set on harvest-time traits and yield dynamics of major crops in long-term observation samples on farmland in the Lower Liaohe Plain, 2005-2015

FAN YUELING,JIANG ZHENG DE,YE JIASHU,ZHENG LICHEN,CHEN XIN   

  1. Institute of Applied Ecology, Chinese Academy of Sciences
  • Received:2024-09-29 Revised:2025-01-14 Online:2025-06-20 Published:2025-03-26

摘要: 下辽河平原地区是辽宁粮食的重要产区,辽宁沈阳农田生态系统国家野外科学观测研究站(以下简称“沈阳站”)位于下辽河平原中心地带,处于国际地圈生物圈计划(International Geosphere-Biosphere Program, IGBP)东西向水分驱动因子和南北向热量驱动因子在我国境内两条样带的交叉区域。因此,沈阳站的农田长期观测数据能很好的代表该地区农田主要作物的性状,在指导本区域农业生产方面有重要意义,同时也为国家粮食安全提供数据参考。自1998年开始,沈阳站建立了10个农田生态系统生物长期监测样地,对作物生长动态、收获期性状和产量等生物指标,以及土壤、水分、大气环境要素开展持续观测,积累了大量连续观测数据。本数据集来源于沈阳站10个农田长期观测样地2005-2015年的作物收获期性状和产量连续观测数据,由8个部分组成,分别为轮作体系表、主要农药除草剂等使用情况表、农田灌溉制度表、水稻收获期植株性状表、玉米收获期植株性状表、大豆收获期植株性状表、作物收获期测产表和样地肥料投入情况工作表。台站的长期观测严格按照中国生态系统研究网络(以下简称“CERN”)观测规范实施,从调查前的前期准备到调查的过程以及调查完成后的数据整理录入等,实施全过程质量控制,以确保数据相对准确可靠。本数据集提供的下辽河平原区农田主要农作物收获期性状和产量动态数据集,可用于评估年际间产量波动,为优化区域农业种植结构、实现区域主栽作物高产稳产提供科学指导与决策依据,从而为国家的粮食安全提供强有力的保障。

关键词: 作物产量,收获期性状,生物量,长期定位观测

Abstract: The Lower Liaohe Plain is an important grain-producing area in Liaoning, and the Shenyang National Field Scientific Observatory of Agricultural Ecosystems in Liaoning (hereinafter referred to as the Shenyang Station) is located in the center of the Lower Liaohe Plain, which is at the crossroads of two sample zones of the East-West Moisture Driver and the North-South Heat Driver of the International Geosphere-Biosphere Program (IGBP) in China. Shenyang Station is located in the center of the Lower Liaohe Plain, at the crossroads of the International Geosphere-Biosphere Program (IGBP) east-west moisture driver and the north-south heat driver in China.Therefore, the long-term observation data of farmland at Shenyang Station can well represent the traits of the main crops in farmland in the region, which is of great significance in guiding the agricultural production in the region, and at the same time provide data reference for national food security.Since 1998, the Shenyang Station has established 10 biological long-term monitoring sample plots in farmland ecosystems to carry out continuous observation of biological indicators such as crop growth dynamics, harvest traits and yields, as well as soil, water and atmospheric environmental elements, accumulating a large amount of continuous observation data.This dataset is derived from the continuous observation data of crop harvest traits and yields from 2005 to 2015 in 10 farmland long-term observation sample plots at Shenyang Station, and consists of eight parts, namely, the table of crop rotation system, the table of major pesticides, herbicides and other uses, the table of farmland irrigation system, the table of plant traits at the harvest time of rice, the table of plant traits at the harvest time of corn, the table of plant traits at the harvest time of soybeans, the table of crop harvest traits and yield measurement, and the worksheet of fertilizer inputs of the sample plots. Yield Measurement Sheet and Fertilizer Inputs in Sample Plots Worksheet. The long-term observation of the station was carried out in strict accordance with the observation specifications of the China Ecosystem Research Network (hereinafter referred to as “CERN”), and quality control was carried out in the whole process, from the preparation of the survey to the process of the survey, as well as the data sorting and recording after the completion of the survey, in order to ensure that the data were relatively accurate and reliable. This dataset provides a data set of harvest-time traits and yield dynamics of major crops in farmland in the Lower Liaohe Plain, which can be used to assess inter-annual yield fluctuations and provide scientific guidance and decision-making basis for optimizing the regional agricultural planting structure and realizing high and stable yields of major crops in the region, so as to provide a strong guarantee for the national food security.

Key words: crop yield, Harvest time traits, biomass, long-term position monitoring