根据指令92/43/EEC(生境指令)监测植物和生境类型的关系数据库:坎帕尼亚(意大利)的一个例子。

A. Santangelo, G. de Filippo, Valeria Rossetti, S. Strumia
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引用次数: 0

摘要

《生境指令》(Dir.92/43/EEC)的执行需要收集大量的实地数据。关于监测活动,除了空间数据(地理信息系统数据)外,还收集了关于栖息地、动植物种群规模以及对其施加的压力和威胁的表格数据。在本文中,我们描述了两个关系数据库,旨在确保附件I中列出的栖息地和附件II、IV和V中列出的植物物种的数据存储正确有效。这两个关系数据是以Microsoft Access格式设计的。在这两个数据库中,都使用了与分类单元相关的“查找表”来避免复制并集中数据。数据表用于存储从监测活动中获得的原始数据。所采用的数据库允许以标准和同质的格式存储收集的数据,并使用户更容易输入数据,减少输入错误。这些数据库符合《生境指令》第11条和第17条的强制性行动,并对用户的基本要求作出迅速答复。最后,这些数据库旨在为公民和/或其他最终用户提供在一个区域存储库中收集的所有数据,此外还有动物学数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relational databases for plants and habitat types monitoring under Directive 92/43/EEC (Habitat Directive): an example from Campania (Italy).
The implementation of the Habitat Directive (Dir. 92/43/EEC) entails gathering a large amount of field data. As for monitoring activities, along with spatial data (GIS data), tabular data regarding habitat, plant and animal species population size, and pressures and threats acting on them are collected. In this paper we describe two relational databases designed to ensure a correct and efficient data storage for the habitats listed in Annex I and the Plant species listed in the Annexes II, IV and V. The two relational Databases were designed in Microsoft Access format. In both databases, “Lookup Tables” related to the taxon were used to avoid replication and to centralize the data. Data Tables were used to store the raw data deriving from monitoring activities. The adopted databases allow the storage of collected data in a standard and homogeneous format and make data entry easier to users, reducing input errors. The databases comply with the mandatory actions of art. 11 and 17 of the Habitat Directive and give a prompt reply to the basic requests of users. Finally, the databases aim to provide citizens and/or other end users with all the data gathered in a single regional repository, with zoological data in addition.
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来源期刊
Plant Sociology
Plant Sociology Agricultural and Biological Sciences-Forestry
CiteScore
4.40
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0.00%
发文量
7
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