植物生态学报 ›› 2025, Vol. 49 ›› Issue (8): 1271-1282.DOI: 10.17521/cjpe.2024.0332

• 数据论文 • 上一篇    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数据集

樊月玲1,2, 蒋正德1,2, 叶佳舒1,2, 郑立臣1,2, 陈欣1,2,*()   

  1. 1中国科学院沈阳应用生态研究所, 沈阳 110016
    2辽宁沈阳农田生态系统国家野外科学观测研究站, 沈阳 110107
  • 收稿日期:2024-09-29 接受日期:2025-01-27 出版日期:2025-08-20 发布日期:2025-03-26
  • 通讯作者: * 陈欣(chenxin@iae.ac.cn)
  • 基金资助:
    中国科学院战略性先导科技专项(XDA28130500)

Dataset on harvest traits and yield of major crops in long-term farmland observation plots in the Lower Liaohe Plain from 2005 to 2015

FAN Yue-Ling1,2, JIANG Zheng-De1,2, YE Jia-Shu1,2, ZHENG Li-Chen1,2, CHEN Xin1,2,*()   

  1. 1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
    2and National Field Scientific Observation and Research Station of Shenyang Farmland Ecosystem, Shenyang 110107, China
  • Received:2024-09-29 Accepted:2025-01-27 Online:2025-08-20 Published:2025-03-26
  • Contact: * CHEN Xin (chenxin@iae.ac.cn)
  • Supported by:
    Strategic Priority Program of the Chinese Academy of Sciences(XDA28130500)

摘要:

下辽河平原地区是辽宁重要的粮食产区, 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(IGBP)东西向水分驱动因子和南北向热量驱动因子两条样带在我国境内的交叉区域。因此, 沈阳站的农田长期观测数据能很好地代表下辽河平原地区农田主要作物的性状, 在指导该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。该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(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。该数据集提供的下辽河平原地区农田主要农作物收获期性状和产量数据, 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, 水稻, 玉米, 大豆

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. It is situated at the crossroads of two sample zones: the East-West Moisture Driver and the North-South Heat Driver of the International Geosphere-Biosphere Program (IGBP) in China. Therefore, the long-term observation data of farmland at Shenyang Station can represent the traits of the main crops in the Lower Liaohe Plain well. This is of great significance in guiding agricultural production in the region and also provides a data reference for national food security. Since 1998, the Shenyang Station has established 10 long-term biological 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 environmental elements including soil, water and atmosphere, thereby accumulating a large amount of continuous observation data. This dataset is derived from the continuous observation data on crop harvest traits and yields from 2005 to 2015 in 10 long-term farmland observation plots at Shenyang Station. It consists of eight parts: 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 table of fertilizer inputs of the sample plots. The long-term observation of the station was carried out in strict accordance with the observation specifications of the China Ecosystem Research Network (CERN). Quality control was implemented throughout the entire process, from the preparation to the implementation of the survey, and the sorting and recording of the data after the survey, in order to ensure that the data were accurate and reliable. This data provides information on 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 a basis for decision-making for optimizing the regional agricultural planting structure and achieving high and stable yields of major crops in the region, so as to provide a strong guarantee for national food security.

Key words: crop yield, harvest time traits, biomass, long-term fixed-plots observation, rice, maize, soybean