CCPortal
DOI10.1016/j.tree.2019.08.006
Data Integration for Large-Scale Models of Species Distributions
Isaac N.J.B.; Jarzyna M.A.; Keil P.; Dambly L.I.; Boersch-Supan P.H.; Browning E.; Freeman S.N.; Golding N.; Guillera-Arroita G.; Henrys P.A.; Jarvis S.; Lahoz-Monfort J.; Pagel J.; Pescott O.L.; Schmucki R.; Simmonds E.G.; O'Hara R.B.
发表日期2020
ISSN0169-5347
起始页码56
结束页码67
卷号35期号:1
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. © 2019 The Authors
关键词biodiversitydata acquisitionecological modelingspatiotemporal analysisspecies diversitybiodiversityecologytheoretical modelBiodiversityEcologyModels, Theoretical
语种英语
来源机构Trends in Ecology and Evolution
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/133930
推荐引用方式
GB/T 7714
Isaac N.J.B.,Jarzyna M.A.,Keil P.,et al. Data Integration for Large-Scale Models of Species Distributions[J]. Trends in Ecology and Evolution,2020,35(1).
APA Isaac N.J.B..,Jarzyna M.A..,Keil P..,Dambly L.I..,Boersch-Supan P.H..,...&O'Hara R.B..(2020).Data Integration for Large-Scale Models of Species Distributions.,35(1).
MLA Isaac N.J.B.,et al."Data Integration for Large-Scale Models of Species Distributions".35.1(2020).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Isaac N.J.B.]的文章
[Jarzyna M.A.]的文章
[Keil P.]的文章
百度学术
百度学术中相似的文章
[Isaac N.J.B.]的文章
[Jarzyna M.A.]的文章
[Keil P.]的文章
必应学术
必应学术中相似的文章
[Isaac N.J.B.]的文章
[Jarzyna M.A.]的文章
[Keil P.]的文章
相关权益政策
暂无数据
收藏/分享

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。