globalchange  > 气候变化与战略
DOI: 10.1111/ele.13710
论文题名:
How long do population level field experiments need to be? Utilising data from the 40-year-old LTER network
作者: Cusser S.; Helms J.; IV; Bahlai C.A.; Haddad N.M.
刊名: Ecology Letters
ISSN: 1461023X
出版年: 2021
卷: 24, 期:5
起始页码: 1103
结束页码: 1111
语种: 英语
中文关键词: Data mining ; isothermality ; long-term ; moving window ; population dynamics ; time series ; trajectory
英文关键词: abiotic factor ; experimental study ; field method ; long-term change ; research work ; temporal analysis ; animal ; methodology ; plant ; Animals ; Plants ; Research Design
英文摘要: We utilise the wealth of data accessible through the 40-year-old Long-Term Ecological Research (LTER) network to ask if aspects of the study environment or taxa alter the duration of research necessary to detect consistent results. To do this, we use a moving-window algorithm. We limit our analysis to long-term (> 10 year) press experiments recording organismal abundance. We find that studies conducted in dynamic abiotic environments need longer periods of study to reach consistent results, as compared to those conducted in more moderated environments. Studies of plants were more often characterised by spurious results than those on animals. Nearly half of the studies we investigated required 10 years or longer to become consistent, where all significant trends agreed in direction, and four studies (of 100) required longer than 20 years. Here, we champion the importance of long-term data and bolster the value of multi-decadal experiments in understanding, explaining and predicting long-term trends. © 2021 John Wiley & Sons Ltd.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/166808
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: W.K. Kellogg Biological Station, Department of Integrative Biology, Michigan State University, Hickory CornersMI, United States; Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, VT, United States; USDA-ARS, Center for Medical, Agricultural, and Veterinary Entomology, Gainesville, FL, United States; Department of Biological Sciences, Kent State University, Kent, OH, United States

Recommended Citation:
Cusser S.,Helms J.,IV,et al. How long do population level field experiments need to be? Utilising data from the 40-year-old LTER network[J]. Ecology Letters,2021-01-01,24(5)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Cusser S.]'s Articles
[Helms J.]'s Articles
[IV]'s Articles
百度学术
Similar articles in Baidu Scholar
[Cusser S.]'s Articles
[Helms J.]'s Articles
[IV]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Cusser S.]‘s Articles
[Helms J.]‘s Articles
[IV]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.