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Could ecologists be more random? Straightforward alternatives to haphazard spatial sampling
- Source :
- Ecography. 40:1251-1255
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
Abstract
- When conducting field studies, it is common for ecologists to choose the locations of sampling units arbitrarily at the time sampling occurs, rather than using a properly randomised sampling design. Unfortunately, this ‘haphazard’ sampling approach cannot provide formal statistical inference from the sample to the population without making untestable assumptions. Here, we argue that two recent technological developments remove the need for haphazard sampling in many situations. A general approach to simple randomised sampling designs is outlined, and some examples demonstrate that even complicated designs can be implemented easily using software that is widely used among ecologists. We consider that more rigorous, randomised sampling designs would strengthen the validity of the conclusions drawn from ecological studies, to the benefit of the discipline as a whole. This article is protected by copyright. All rights reserved.
- Subjects :
- 0106 biological sciences
education.field_of_study
Ecology
Computer science
010604 marine biology & hydrobiology
Population
Sampling (statistics)
Sample (statistics)
010603 evolutionary biology
01 natural sciences
Data science
Field (computer science)
Sampling design
Statistical inference
education
Ecology, Evolution, Behavior and Systematics
Simple (philosophy)
Subjects
Details
- ISSN :
- 09067590
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- Ecography
- Accession number :
- edsair.doi...........72e9e7e91c6f9aa8ca7e2c962d7e8bf1