一个数据集的作物继承指标2015-2021年的数据集
Marie-Sophie Dedieu1, Thomas Poméon1, Baptiste Girault2
1INRAE, US ODR, Castanet-Tolosan F-31326, France.
Data in brief
|September 24, 2024
概括
一个新的数据集提供了20个指标,用于跟踪2015-2021年的作物多样性和作物旋转. 这些数据通过量化法国各地的农业实践来支持农业生态转型.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 农业生态转型需要多样化的作物系统.
- 关于作物继承的量化数据对于监测农业实践至关重要.
- 现有的数据缺口阻碍了对作物多样性和作物旋转模式的评估.
研究的目的:
- 引入"作物继承指标2015-2021年"数据集.
- 提供一套全面的指标来描述作物多样性,季节性和生长周期.
- 支持研究人员和政策制定者理解和管理农业系统.
主要方法:
- 基于原始作物序列数据的二十个综合指标的开发.
- 计算2015-2021年期间的指标.
- 专家与农学家进行商,以确定相关指标和主题.
主要成果:
- 该数据集包括20个指标,涵盖作物多样性,季节性和作物旋转长度.
- 在法国大陆的多个行政级别 (从市级到国家级) 均可获得指标.
- 数据涵盖了七年的时间,使农业实践的时间分析成为可能.
结论:
- "作物继承指标2015-2021"数据集是描述农业实践的宝贵资源.
- 它可以为政策决策提供信息,监测农业生态转型,并支持领土管理.
- 这些数据为各种利益相关者提供了对作物继承的定量理解.
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