2005-2020年安塞站大豆和谷子不同物候期生态观测数据集  被引量:3

A dataset of ecological observations of soybean and foxtail millet during different phenological periods at Ansai Station from 2005 to 2020

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作  者:王志波 吴瑞俊[1,2] 姜峻[1,2] 李够霞[1,2] 孙秋红 王国梁[1,2] WANG Zhibo;WU Ruijun;JIANG Jun;LI Gouxia;SUN Qiuhong;WANG Guoliang(Institute of Soil and Water Conservation,Northwest A&F University,Yangling 712100,Shaanxi,P.R.China;Institute of Soil and Water Conservation,Chinese Academy of Sciences and Ministry of Water Resources,Yangling 712100,Shaanxi,P.R.China)

机构地区:[1]西北农林科技大学水土保持研究所,陕西杨凌712100 [2]中国科学院水利部水土保持研究所,陕西杨凌712100

出  处:《中国科学数据(中英文网络版)》2023年第3期210-219,共10页China Scientific Data

基  金:农业基础性长期性科技工作(ZX03S613)。

摘  要:大豆和谷子作为黄土高原丘陵区典型农田生态系统的农作物,对保障区域粮食安全具有重要意义。连续多年不同物候期作物的生态观测数据为研究气候变化对该区域农田生态系统的影响及其适应提供了重要数据支撑。陕西安塞农田生态系统国家野外科学观测研究站(简称安塞站)是以干旱半干旱黄土高原丘陵区为核心研究对象,是中国生态系统研究网络(CERN)和国家生态系统观测研究网络(CNERN)布设在该类型的农田生态系统野外长期观测平台。本数据集整合了安塞站近15年(2005–2020年)典型耕作制度下大豆和谷子不同物候期生态观测数据,主要包含大豆和谷子物候期、作物关键物候期叶面积指数和地上生物量的动态变化、当年作物产量等数据。本数据集将对研究该区域作物生长模型建立、遥感动态监测以及农业生产动态管理提供科学依据与数据支撑。As important grain crops of the typical farmland ecosystem in the hilly areas of the Loess Plateau,soybean and foxtail millet are of great significance to ensuring regional food security.Ecological observations of crops during various phenological periods over successive years can offer crucial data support for researching the impact of climate change on farmland ecosystems.As a member of China Ecosystem Research Network(CERN)and Chinese National Ecosystem Research Network(CNERN),the National Field Scientific Observation and Research Station for the Farmland Ecosystem in Ansai,Shaanxi(Ansai Station)is a long-term field observation platform for farmland ecosystems focused on the hilly areas of arid and semi-arid Loess Plateau.This dataset includes the phenology,leaf area index and aboveground biomass during different phenological periods and the annual yield of soybean and foxtail millet at Ansai Station from 2005 to 2020.This dataset is expected to serve as a scientific foundation and provide essential data for the establishment of crop growth model,dynamic monitoring of crop growth,and also hold great significance for the dynamic management of agricultural production in this study area.

关 键 词:物候 叶面积指数 地上生物量 作物产量 大豆和玉米 

分 类 号:S515[农业科学—作物学] S565.1

 

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