Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/ele.12757 |
How to make more out of community data? A conceptual framework and its implementation as models and software | |
Ovaskainen, Otso1,2; Tikhonov, Gleb1; Norberg, Anna1; Blanchet, F. Guillaume3,4; Duan, Leo5; Dunson, David5; Roslin, Tomas6; Abrego, Nerea2,7 | |
2017-05-01 | |
发表期刊 | ECOLOGY LETTERS |
ISSN | 1461-023X |
EISSN | 1461-0248 |
出版年 | 2017 |
卷号 | 20期号:5 |
文章类型 | Article |
语种 | 英语 |
国家 | Finland; Norway; Canada; USA; Sweden |
英文摘要 | Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate the integration between conceptual and statistical approaches in community ecology, we propose Hierarchical Modelling of Species Communities (HMSC) as a general, flexible framework for modern analysis of community data. While non-manipulative data allow for only correlative and not causal inference, this framework facilitates the formulation of data-driven hypotheses regarding the processes that structure communities. We model environmental filtering by variation and covariation in the responses of individual species to the characteristics of their environment, with potential contingencies on species traits and phylogenetic relationships. We capture biotic assembly rules by species-to-species association matrices, which may be estimated at multiple spatial or temporal scales. We operationalise the HMSC framework as a hierarchical Bayesian joint species distribution model, and implement it as R-and Matlab-packages which enable computationally efficient analyses of large data sets. Armed with this tool, community ecologists can make sense of many types of data, including spatially explicit data and time-series data. We illustrate the use of this framework through a series of diverse ecological examples. |
英文关键词 | Assembly process biotic filtering community distribution community modelling community similarity environmental filtering functional trait joint species distribution model metacommunity phylogenetic signal |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000399361500001 |
WOS关键词 | SPECIES DISTRIBUTION MODELS ; FUNCTIONAL TRAITS ; APPARENT COMPETITION ; BIOTIC INTERACTIONS ; NEUTRAL THEORY ; JOINT MODELS ; ET-AL ; ECOLOGY ; NETWORKS ; NICHE |
WOS类目 | Ecology |
WOS研究方向 | Environmental Sciences & Ecology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/31189 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Helsinki, Dept Biosci, POB 65, FI-00014 Helsinki, Finland; 2.Norwegian Univ Sci & Technol, Ctr Biodivers Dynam, Dept Biol, N-7491 Trondheim, Norway; 3.McMaster Univ, Dept Math & Stat, 1280 Main St West Hamilton, Hamilton, ON L8S 4K1, Canada; 4.Univ Sherbrooke, Fac Sci, Dept Biol, 2500 Blvd Univ Sherbrooke, Quebec City, PQ J1K 2R1, Canada; 5.Duke Univ, Dept Stat Sci, POB 90251, Durham, NC USA; 6.Swedish Univ Agr Sci, Dept Ecol, Box 7044, S-75651 Uppsala, Sweden; 7.Univ Helsinki, Dept Agr Sci, POB 27, FI-00014 Helsinki, Finland |
推荐引用方式 GB/T 7714 | Ovaskainen, Otso,Tikhonov, Gleb,Norberg, Anna,et al. How to make more out of community data? A conceptual framework and its implementation as models and software[J]. ECOLOGY LETTERS,2017,20(5). |
APA | Ovaskainen, Otso.,Tikhonov, Gleb.,Norberg, Anna.,Blanchet, F. Guillaume.,Duan, Leo.,...&Abrego, Nerea.(2017).How to make more out of community data? A conceptual framework and its implementation as models and software.ECOLOGY LETTERS,20(5). |
MLA | Ovaskainen, Otso,et al."How to make more out of community data? A conceptual framework and its implementation as models and software".ECOLOGY LETTERS 20.5(2017). |
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