Unknown

Dataset Information

Characterisation of false-positive observations in botanical surveys.


ABSTRACT: Errors in botanical surveying are a common problem. The presence of a species is easily overlooked, leading to false-absences; while misidentifications and other mistakes lead to false-positive observations. While it is common knowledge that these errors occur, there are few data that can be used to quantify and describe these errors. Here we characterise false-positive errors for a controlled set of surveys conducted as part of a field identification test of botanical skill. Surveys were conducted at sites with a verified list of vascular plant species. The candidates were asked to list all the species they could identify in a defined botanically rich area. They were told beforehand that their final score would be the sum of the correct species they listed, but false-positive errors count

SUBMITTER: Groom QJ 

PROVIDER: S-EPMC5437866 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature