通过数字农业缩小农田生物多样性知识差距
Ruben Remelgado1, Michael Beckmann2, Moudrý Vítězslav3
1Agro-Ecological Modeling Group, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Niebuhrstraße 1a, Bonn, 53113 Germany.
概括
数字农业,利用技术优化农业,可以显著改善生物多样性监测. 将农业数据流与生物多样性科学相结合,为加强保护和可持续农业实践提供了途径.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 保护生物学 保护生物学
背景情况:
- 数字农业利用技术优化农业系统.
- 生物多样性监测在数据收集和整合方面面临着挑战.
- 数字农业现有的数据流对生物多样性没有充分利用.
研究的目的:
- 探索数字农业数据在生物多样性监测方面的潜力.
- 将农业数据流与生物多样性基本变量框架联系起来.
- 确定整合数字农业和生物多样性科学的好处,挑战和途径.
主要方法:
- 分析来自数字农业技术的数据流.
- 农业数据与生物多样性基本变量框架的调整.
- 审查现有的研究,教育和实践在两个领域.
主要成果:
- 数字农业数据可以直接贡献初级生物多样性数据.
- 整合可以提高农田生物多样性保护的精度.
- 在农业优化和生物多样性保护之间发现了协同效应.
结论:
- 整合数字农业和生物多样性监测是可行的和有益的.
- 这种融合加速了向可持续农业的转变.
- 通过结合的方法,紧急优先保护自然及其对人类的贡献.
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