期刊
OECOLOGIA
卷 167, 期 3, 页码 599-611出版社
SPRINGER
DOI: 10.1007/s00442-011-2107-9
关键词
Data assimilation; Markov Chain Monte Carlo; NEE; Aquatic insects; Ecological models
类别
资金
- Department of Energy (DOE) Office of Biological and Environmental Research (BER) National Institute for Climatic Change Research (NICCR) [050516Z19]
- Division Of Environmental Biology
- Direct For Biological Sciences [0845166] Funding Source: National Science Foundation
Data assimilation, or the fusion of a mathematical model with ecological data, is rapidly expanding knowledge of ecological systems across multiple spatial and temporal scales. As the amount of ecological data available to a broader audience increases, quantitative proficiency with data assimilation tools and techniques will be an essential skill for ecological analysis in this data-rich era. We provide a data assimilation primer for the novice user by (1) reviewing data assimilation terminology and methodology, (2) showcasing a variety of data assimilation studies across the ecological, environmental, and atmospheric sciences with the aim of gaining an understanding of potential applications of data assimilation, and (3) applying data assimilation in specific ecological examples to determine the components of net ecosystem carbon uptake in a forest and also the population dynamics of the mayfly (Hexagenia limbata, Serville). The review and examples are then used to provide guiding principles to newly proficient data assimilation practitioners.
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