当前位置: X-MOL 学术Annu. Rev. Entomol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Ecoinformatics (Big Data) for Agricultural Entomology: Pitfalls, Progress, and Promise
Annual Review of Entomology ( IF 23.8 ) Pub Date : 2017-01-31 00:00:00 , DOI: 10.1146/annurev-ento-031616-035444
Jay A. Rosenheim 1, 2 , Claudio Gratton 3
Affiliation  

Ecoinformatics, as defined in this review, is the use of preexisting data sets to address questions in ecology. We provide the first review of ecoinformatics methods in agricultural entomology. Ecoinformatics methods have been used to address the full range of questions studied by agricultural entomologists, enabled by the special opportunities associated with data sets, nearly all of which have been observational, that are larger and more diverse and that embrace larger spatial and temporal scales than most experimental studies do. We argue that ecoinformatics research methods and traditional, experimental research methods have strengths and weaknesses that are largely complementary. We address the important interpretational challenges associated with observational data sets, highlight common pitfalls, and propose some best practices for researchers using these methods. Ecoinformatics methods hold great promise as a vehicle for capitalizing on the explosion of data emanating from farmers, researchers, and the public, as novel sampling and sensing techniques are developed and digital data sharing becomes more widespread.

中文翻译:


农业昆虫学的生态信息学(大数据):陷阱,进展和承诺

正如本文所定义的,生态信息学是利用预先存在的数据集来解决生态学中的问题。我们对农业昆虫学中的生态信息学方法进行了首次综述。生态信息学方法已被用于解决农业昆虫学家所研究的全部问题,这是由于与数据集相关的特殊机会所促成的,几乎所有这些机会都是观察性的,比之更大,更多样化,并且具有比时空更大的时空尺度。大多数实验研究都这样做。我们认为,生态信息学的研究方法和传统的实验研究方法各有千秋,各有千秋。我们解决与观测数据集相关的重要解释挑战,强调常见的陷阱,并为使用这些方法的研究人员提出一些最佳实践。随着新的采样和传感技术的发展以及数字数据共享的日益广泛,生态信息学方法有望成为利用农民,研究人员和公众的数据爆炸手段的工具。

更新日期:2017-01-31
down
wechat
bug