eHabitat, a multi-purpose Web Processing Service for ecological modeling

eHabitat, a multi-purpose Web Processing Service for ecological modeling
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DOI:
10.1016/j.envsoft.2012.11.005
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发表时间:
2013-03
期刊:
Environ. Model. Softw.
影响因子:
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通讯作者:
G. Dubois;Michael Schulz;J. Skøien;L. Bastin;S. Peedell
G. Dubois;Michael Schulz;J. Skøien;L. Bastin;S. Peedell
中科院分区:
其他
文献类型:
--
作者:
G. Dubois;Michael Schulz;J. Skøien;L. Bastin;S. Peedell

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随着人们对全球对地观测分布式系统(全球测地系统)所作努力的认识不断提高,可互操作的研究基础设施的数量也大大增加。从全球测地系统中获益最大的社会惠益领域之一是生物多样性,因为监测环境和管理复杂信息的成本很高,从空间观测到物种记录,包括其遗传特征。但是,全球测地系统超越了简单的数据共享,鼓励公布和组合模型,这种方法可以简化复杂的多学科问题的处理。这是本文的目的,以说明这些概念,提出eHabitat,一个基本的Web处理服务(WPS)计算的可能性,找到生态系统与用户指定的那些相同的属性。尽管商定的WPS标准可用于基于Web的地理空间建模,但几乎没有实际的实现,使eHabitat成为该领域的重要补充。另一方面,由于广泛采用地理空间数据的网络访问标准,在全球测地系统内产生了大量数据源,可利用电子人居中心将这些数据源有效地结合起来。当与提供气候变化数据的其他服务链接时,eHabitat可用于生态预测,并成为决策者在选择新的保护地区时评估不同战略的有用工具。在界定生态系统及其在不同气候或发展情景下的未来持久性时,eHabitat几乎可以使用任何类型的主题数据。该文件将介绍该体系结构,并通过预测气候变化对保护区或非洲鸟类生态位的影响的案例研究来说明这些概念。
The number of interoperable research infrastructures has increased significantly with the growing awareness of the efforts made by the Global Earth Observation System of Systems (GEOSS). One of the societal benefit areas that is benefiting most from GEOSS is biodiversity, given the costs of monitoring the environment and managing complex information, from space observations to species records including their genetic characteristics. But GEOSS goes beyond simple data sharing to encourage the publishing and combination of models, an approach which can ease the handling of complex multi-disciplinary questions. It is the purpose of this paper to illustrate these concepts by presenting eHabitat, a basic Web Processing Service (WPS) for computing the likelihood of finding ecosystems with equal properties to those specified by a user. Despite the availability of the agreed WPS standard for Web-based geospatial modeling, few practical implementations exist, making eHabitat a significant addition to the field. On the other hand, the wide uptake of Web access standards for geospatial data has led to a wealth of data sources within GEOSS which can be effectively combined using eHabitat. When chained with other services providing data on climate change, eHabitat can be used for ecological forecasting and becomes a useful tool for decision-makers assessing different strategies when selecting new areas to protect. eHabitat can use virtually any kind of thematic data that can be considered as useful when defining ecosystems and their future persistence under different climatic or development scenarios. The paper will present the architecture and illustrate the concepts through case studies which forecast the impact of climate change on protected areas or on the ecological niche of an African bird.