气候变化领域集成服务门户(CCPortal): iEcology: Harnessing Large Online Resources to Generate Ecological Insights

CCPortal

DOI	10.1016/j.tree.2020.03.003
	iEcology: Harnessing Large Online Resources to Generate Ecological Insights
	Jarić I.; Correia R.A.; Brook B.W.; Buettel J.C.; Courchamp F.; Di Minin E.; Firth J.A.; Gaston K.J.; Jepson P.; Kalinkat G.; Ladle R.; Soriano-Redondo A.; Souza A.T.; Roll U.
发表日期	2020
ISSN	0169-5347
起始页码	630
结束页码	639
卷号	35 期号:7
英文摘要	Digital data are accumulating at unprecedented rates. These contain a lot of information about the natural world, some of which can be used to answer key ecological questions. Here, we introduce iEcology (i.e., internet ecology), an emerging research approach that uses diverse online data sources and methods to generate insights about species distribution over space and time, interactions and dynamics of organisms and their environment, and anthropogenic impacts. We review iEcology data sources and methods, and provide examples of potential research applications. We also outline approaches to reduce potential biases and improve reliability and applicability. As technologies and expertise improve, and costs diminish, iEcology will become an increasingly important means to gain novel insights into the natural world. © 2020 The Authors
关键词	anthropogenic effect ecological impact Internet reliability analysis spatiotemporal analysis biodiversity biogeography data mining ecology human impact (environment)Internet reliability review social media species distribution
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/133834
推荐引用方式 GB/T 7714	Jarić I.,Correia R.A.,Brook B.W.,et al. iEcology: Harnessing Large Online Resources to Generate Ecological Insights[J]. Trends in Ecology and Evolution,2020,35(7).
APA	Jarić I..,Correia R.A..,Brook B.W..,Buettel J.C..,Courchamp F..,...&Roll U..(2020).iEcology: Harnessing Large Online Resources to Generate Ecological Insights.,35(7).
MLA	Jarić I.,et al."iEcology: Harnessing Large Online Resources to Generate Ecological Insights".35.7(2020).