通过多样化轮作提高有价值的生态系统服务(DRIVES)网络得出农业生态系统多功能性的一般原则

IF 2 3区 农林科学 Q2 AGRONOMY
K. Ann Bybee-Finley, Katherine Muller, Kathryn E. White, Timothy M. Bowles, Michel A. Cavigelli, Eunjin Han, Harry H. Schomberg, Sieglinde Snapp, Frederi Viens
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引用次数: 0

摘要

长期农业田间试验(LTFEs)已经开展了近 150 年。然而,由于缺乏协调,对这些实验进行综合分析的情况仍然很少见,从而错失了总结农业生态系统结构和功能一般原则的机会。在此,我们将介绍 "多样化轮作改善有价值的生态系统服务(DRIVES)"项目,该项目利用北美LTFEs的遗留数据来解决有关农业多功能性的研究问题。DRIVES 项目是一个由研究人员组成的网络,他们从参与地点收集了原始数据(即观测数据)和次要数据(即经过转换的观测数据或建模结果),汇编成一个数据库。该项目由 21 个 LTFE 组成,评估作物轮作多样性如何影响耕作系统的性能。该网络由美国农业部、大学和国际玉米小麦改良中心的科学家(20 人)和一个核心团队(9 人)组成,前者负责管理和收集来自 LTFE 的原始数据,后者负责组织网络、整理网络数据和综合跨网络研究结果。截至 2024 年,DRIVES 项目数据库包含 495 个地点年的作物产量、每日天气、土壤分析和管理信息。DRIVES 数据库具有可查找、可访问、可互操作和可重复使用的特点,可以与其他公共数据集集成。最初的研究重点是轮作多样性如何影响面对恶劣天气时的恢复能力、营养质量和经济可行性。我们处理 LTFE 数据的合作方法建立了一种数据组织模式,有助于开展更广泛的综合研究。我们公开邀请其他研究机构加入 DRIVES 网络并分享他们的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Deriving general principles of agroecosystem multifunctionality with the Diverse Rotations Improve Valuable Ecosystem Services (DRIVES) network

Deriving general principles of agroecosystem multifunctionality with the Diverse Rotations Improve Valuable Ecosystem Services (DRIVES) network

Long-term agricultural field experiments (LTFEs) have been conducted for nearly 150 years. Yet lack of coordination means that synthesis across such experiments remains rare, constituting a missed opportunity for deriving general principles of agroecosystem structure and function. Here, we introduce the Diverse Rotations Improve Valuable Ecosystem Services (DRIVES) project, which uses legacy data from North American LTFEs to address research questions about the multifunctionality of agriculture. The DRIVES Project is a network of researchers who have compiled a database of primary (i.e., observations) and secondary (i.e., transformed observations or modeling results) data from participating sites. It comprises 21 LTFEs that evaluate how crop rotational diversity impacts cropping system performance. The Network consists of United States Department of Agriculture, university, and International Maize and Wheat Improvement Center scientists (20 people) who manage and collect primary data from LTFEs and a core team (nine people) who organize the network, curate network data, and synthesize cross-network findings. As of 2024, the DRIVES Project database contains 495 site-years of crop yields, daily weather, soil analysis, and management information. The DRIVES database is findable, accessible, interoperable, and reusable, which allows integration with other public datasets. Initial research has focused on how rotational diversity impacts resilience in the face of adverse weather, nutritional quality, and economic feasibility. Our collaborative approach in handling LTFE data has established a model for data organization that facilitates broader synthesis studies. We openly invite other sites to join the DRIVES network and share their data.

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来源期刊
Agronomy Journal
Agronomy Journal 农林科学-农艺学
CiteScore
4.70
自引率
9.50%
发文量
265
审稿时长
4.8 months
期刊介绍: After critical review and approval by the editorial board, AJ publishes articles reporting research findings in soil–plant relationships; crop science; soil science; biometry; crop, soil, pasture, and range management; crop, forage, and pasture production and utilization; turfgrass; agroclimatology; agronomic models; integrated pest management; integrated agricultural systems; and various aspects of entomology, weed science, animal science, plant pathology, and agricultural economics as applied to production agriculture. Notes are published about apparatus, observations, and experimental techniques. Observations usually are limited to studies and reports of unrepeatable phenomena or other unique circumstances. Review and interpretation papers are also published, subject to standard review. Contributions to the Forum section deal with current agronomic issues and questions in brief, thought-provoking form. Such papers are reviewed by the editor in consultation with the editorial board.
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