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协调服务和全球模型图书馆,以支持国家驱动的关于受盐影响的土壤的全球信息
C T Omuto1, M Scherstjanoi2, M A Kader3
1University of Nairobi, Nairobi, Kenya. thineomuto@yahoo.com.
Scientific reports
|August 12, 2023
概括
全球受盐影响土壤 (SAS) 数据因不一致性和差距而过时. 一个新的协调服务通过管理数据和识别所需的协调工作来帮助更新全球SAS分销.
科学领域:
- 土壤科学 土壤科学
- 地理信息学是一种地理信息学.
- 环境科学 环境科学
背景情况:
- 盐受影响土壤 (SAS) 的全球分布在科学文献中一直保持不变,约为10亿公.
- 这种停滞归因于过时的土壤数据,数据缺口和不一致,尽管气候变化等环境因素充满活力.
- 现有的数据缺乏定期更新和一致的协调,阻碍了准确的全球分布评估.
研究的目的:
- 提出和开发一种新的协调服务,用于管理不一致的土壤数据,并尽量减少全球盐受影响土壤 (SAS) 信息中的数据差距.
- 通过提供数据协调和差距识别工具,支持全球SAS分布的国家驱动更新.
- 通过标准化数据管理方法,提高全球SAS数据库的准确性和完整性.
主要方法:
- 开发一个协调模型的全球图书馆,以协调不一致的土壤数据.
- 实施模型来识别SAS数据库中的漏洞.
- 创建工具以确定需要数据协调的领域,用于全球分布映射.
- 引入数据可用性指数,以确定缺少SAS数据的国家.
主要成果:
- 该服务在27个国家的应用显示,SAS可用的数据报告不足.
- 大多数现有的国家SAS数据需要协调才能达到全球标准.
- 开发的服务有效地识别了数据缺口和需要协调的领域,用于全球SAS分发更新.
- 数据可用性指数成功地确定了在全球数据库中缺乏SAS数据的国家.
结论:
- 协调是管理不一致的土壤数据和解决全球SAS评估数据缺口的关键选择.
- 新的协调服务使各国能够有效地更新国家和全球SAS信息.
- 通过数据可用性指数确定的国家动员是提高全球SAS数据完整性的关键.
- 标准化数据协调对于准确和最新的全球分布地图的盐影响土壤是必不可少的.
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