景观数据公共资源:用于农业生态系统研究和管理的大型环境数据集标准化、访问和应用系统

IF 2.3 4区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Sarah E. McCord, Nicholas P. Webb, Brandon T. Bestelmeyer, Kristopher Bonefont, Joseph R. Brehm, Joel Brown, Ericha M. Courtright, Chris Dietrich, Michael C. Duniway, Brandon Edwards, Christopher Fraser, Jeffrey E. Herrick, Anna C. Knight, Loretta Metz, Justin W. Van Zee, Craig Tweedie
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引用次数: 0

摘要

要了解农业生态系统发生变化的地点、时间和原因,就必须获得跨越土地保有权、生态过程和空间尺度的高质量生态系统信息。在过去二十年中,土地管理机构和研究团体采用了一整套标准化方法来监测牧场,这些方法已在全球超过 85,000 个监测点实施。然而,利用这些数据了解跨尺度和跨土地所有权的农业生态系统动态和变化的能力一直受到限制,因为到目前为止,这些数据还没有以统一、可访问的格式提供给分析、建模和决策支持工具。我们介绍了景观数据公共资源,这是一个网络基础设施平台,可统一和汇总标准化的农业生态系统数据,实现与模型的链接,并促进决策支持工具对数据的分析和解读。景观数据公共平台为用户提供了一个社区平台,供其贡献数据和开发下一代工具,以支持 21 世纪的农业生态系统管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Landscape Data Commons: A system for standardizing, accessing, and applying large environmental datasets for agroecosystem research and management

The Landscape Data Commons: A system for standardizing, accessing, and applying large environmental datasets for agroecosystem research and management

Understanding where, when, and why agroecosystems are changing requires quality information about ecosystems that span land tenure, ecological processes, and spatial scales. Over the past two decades, land management agencies and research groups have adopted a suite of standardized methods for monitoring rangelands, which have been implemented at over 85,000 monitoring locations globally. However, the ability to use these data to understand agroecosystem dynamics and change across scales and across land ownership has been limited because, until now, these data have not been available in a harmonized, accessible format for analyses, modeling, and decision-support tools. We present the Landscape Data Commons, a cyberinfrastructure platform that harmonizes and aggregates standardized agroecosystem data, enables linkages to models, and facilitates analysis and interpretation of data within decision-support tools. The Landscape Data Commons provides a community platform for users to contribute data and develop next-generation tools to support agroecosystem management through the 21st century.

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来源期刊
CiteScore
3.70
自引率
3.80%
发文量
28
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