植物生态学报 ›› 2025, Vol. 49 ›› Issue (典型生态系统数据集): 1-0.DOI: 10.17521/cjpe.2024.0328

• • 上一篇    

2004-2020年太湖平原典型农田生态系统长期监测样地作物收获期植株性状和产量数据集

王书伟,林静慧,周伟,单军,赵旭,颜晓元   

  1. 中国科学院南京土壤研究所
  • 收稿日期:2024-09-29 修回日期:2024-12-07 出版日期:2025-06-20 发布日期:2025-03-26

A long-term monitoring dataset of crop harvest period traits and yield of typical farmland ecosystems in the Taihu Plain from 2004 to 2020

Shu-Wei Wang1,Jinghui Lin2,Wei Zhou2,Jun Shan2, 1,Xiaoyuan Yan2   

  1. 1.
    2. Institute of Soil Science, Chinese Academy of Sciences
  • Received:2024-09-29 Revised:2024-12-07 Online:2025-06-20 Published:2025-03-26

摘要: 水稻和冬小麦是长江三角洲太湖平原农田生态系统主要种植的农作物。千粒重、每穗粒数、每株穗数等是农作物的主要性状,是决定产量的重要因素,摸清区域内农作物收获期农艺性状和产量变化规律,对作物育种、保障区域粮食安全和生态安全有重要意义。作物收获期农艺性状和产量数据集也对全球气候变化如温度升高等方面直接提供了长时间序列的数据验证。江苏常熟农田生态系统国家野外科学观测研究站(简称常熟站)是长江三角洲唯一的国家农田生态系统科学观测研究站,代表了北亚热带太湖平原以水稻种植为主的半人工湿地农田生态系统。本数据集包含了常熟站近17年(2004-2020年)长期生物监测样地水稻和冬小麦收获期农艺性状和产量数据,可以为作物生长模型构建、遥感估产、区域作物生长动态过程与农业对气候变化响应和适应等研究提供基础数据支撑。

关键词: 收获期性状, 产量, 常熟站, 长期生物监测

Abstract: Rice and winter wheat are the primary crops cultivated in the farmland ecosystem of the Taihu Plain in the Yangtze River Delta. The 1000-grain weight, grains per panicle, and spike per plant are agronomic traits of crops, which significantly influence yield, it is of great significance to understand the changes of agronomic traits and yield during the harvest period of crops in this region, and to ensure regional food security and ecological security. The agronomic traits and yield datasets of crops during the harvest period also directly provide long-term data verification for global climate change, such as temperature increase. The Jiangsu Changshu National Agro-Ecosystem Observation and Research Station (Changshu Station) is the only national farmland ecosystem scientific observation and research station in the Yangtze River Delta, representing the semi-artificial wetland farmland ecosystem dominated by rice cultivation in the northern subtropical Taihu Lake Plain.This dataset contains agronomic traits and yield data of rice and winter wheat harvest plots in the past 17 years (2004-2020), derived from long-term biological monitoring at Changshu station. This dataset can provide data support for crop growth model, remote sensing yield estimation, regional crop growth dynamics, agriculture responds to and adapts to climate change mitigation research.

Key words: Harvest period traits, Yield, Changshu Station, Long-term biological monitoring