Unknown

Dataset Information

Analysing the quality of Swiss National Forest Inventory measurements of woody species richness.


ABSTRACT:

Background

Under ongoing climate and land-use change, biodiversity is continuously decreasing and monitoring biodiversity is becoming increasingly important. National Forest Inventory (NFI) programmes provide valuable time-series data on biodiversity and thus contribute to assessments of the state and trends in biodiversity, as well as ecosystem functioning. Data quality in this context is of paramount relevance, particularly for ensuring a meaningful interpretation of changes. The Swiss NFI revisits about 8%-10% of its sample plots regularly in repeat surveys to supervise the quality of fieldwork.

Methods

We analysed the relevance of observer bias with equivalence tests, examined data quality objectives defined by the Swiss NFI instructors, and calculated the pseudo-turnove

SUBMITTER: Traub B 

PROVIDER: S-EPMC7357775 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature