Related Experiment Video
Updated: May 15, 2026

A Method for Quantifying Foliage-Dwelling Arthropods
Published on: October 20, 2019
[Sampling effort and floristic atlases: survey completeness of localities and description of knowledge gaps]
Jeanne Vallet1, Maëlle Rambaud, Loïc Coquel
1Conservatoire botanique national du Bassin parisien - délégation Sarthe, UMS 2699 CNRS-MNHN inventaire et suivi de la biodiversité, Muséum national d'histoire naturelle, 43, rue de l'Estérel, 72000 Le Mans, France. jvallet@mnhn.fr
Abstract:
Floristic atlases have an important input to flora conservation planning even though their data quality varied greatly across countries. This study aimed to assess survey completeness of cells of floristic atlases. Then, a surveying guide is designed to overcome as efficiently as possible sampling biases. A review and analyses on a wide dataset were carried out to select an estimator of the true species richness of surveyed cells. The Jackknife 1, a non-parametric estimator, appeared as the best compromise for regional floristic atlases. The number of records in each cell was used as an estimator of sampling effort. The ratio between the observed species richness and the estimated species richness measures the completeness of inventories in each surveyed cell. Eighteen variables were selected to describe current inventories and design new surveys. These variables highlight locations, periods and species to be given priority in future studies.
Related Concept Videos
Habitat Fragmentation
Systematic Sampling Method
Systematic sampling is one of the simplest methods...
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Introduction to Plant Diversity
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
