Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.tree.2019.08.006 |
Data Integration for Large-Scale Models of Species Distributions | |
Isaac, Nick J. B.1; 39;Hara, Robert B.2 | |
2020 | |
发表期刊 | TRENDS IN ECOLOGY & EVOLUTION
![]() |
ISSN | 0169-5347 |
EISSN | 1872-8383 |
出版年 | 2020 |
卷号 | 35期号:1页码:56-67 |
文章类型 | Review |
语种 | 英语 |
国家 | England; USA; Germany; Australia; Norway |
英文摘要 | With the expansion in the quantity and types of biodiversity data being collected, there is a need to find ways to combine these different sources to provide cohesive summaries of species' potential and realized distributions in space and time. Recently, model-based data integration has emerged as a means to achieve this by combining datasets in ways that retain the strengths of each. We describe a flexible approach to data integration using point process models, which provide a convenient way to translate across ecological currencies. We highlight recent examples of large-scale ecological models based on data integration and outline the conceptual and technical challenges and opportunities that arise. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000504400600008 |
WOS关键词 | POINT PROCESS MODELS ; CITIZEN SCIENCE DATA ; BIG DATA ; BIAS ; ECOLOGY ; FUTURE ; INFORMATION ; CHALLENGES ; FRAMEWORK ; ABUNDANCE |
WOS类目 | Ecology ; Evolutionary Biology ; Genetics & Heredity |
WOS研究方向 | Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity |
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/280392 |
专题 | 资源环境科学 |
作者单位 | 1.Ctr Ecol & Hydrol, Benson Lane, Wallingford OX10 8BB, Oxon, England; 2.UCL, Ctr Biodivers & Environm Res, Dept Genet Evolut & Environm, London WC1E 6BT, England; 3.Ohio State Univ, Dept Evolut Ecol & Organismal Biol, Columbus, OH 43210 USA; 4.German Ctr Integrat Biodivers Res iDiv, D-04103 Leipzig, Germany; 5.Martin Luther Univ Halle Wittenberg, Inst Comp Sci, D-06120 Halle, Saale, Germany; 6.British Trust Ornithol, Thetford IP24 2PU, England; 7.Univ Florida, Dept Geog, Gainesville, FL 32611 USA; 8.Zool Soc London, Inst Zool, London NW1 4RY, England; 9.Univ Melbourne, Sch Biosci, Parkville, Vic 3010, Australia; 10.Ctr Ecol & Hydrol, Lancaster LA1 4AP, England; 11.Univ Hohenheim, Inst Landscape & Plant Ecol, D-70599 Stuttgart, Germany; 12.Norwegian Univ Sci & Technol, Dept Math Sci, Ctr Biodivers Dynam, N-7491 Trondheim, Norway |
推荐引用方式 GB/T 7714 | Isaac, Nick J. B.,39;Hara, Robert B.. Data Integration for Large-Scale Models of Species Distributions[J]. TRENDS IN ECOLOGY & EVOLUTION,2020,35(1):56-67. |
APA | Isaac, Nick J. B.,&39;Hara, Robert B..(2020).Data Integration for Large-Scale Models of Species Distributions.TRENDS IN ECOLOGY & EVOLUTION,35(1),56-67. |
MLA | Isaac, Nick J. B.,et al."Data Integration for Large-Scale Models of Species Distributions".TRENDS IN ECOLOGY & EVOLUTION 35.1(2020):56-67. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论