0576243 - BÚ 2024 RIV NL eng J - Journal Article
Douda, J. - Doudová, J. - Holeštová, A. - Chudomelová, Markéta - Vild, Ondřej - Boublík, K. - Černá, M. - Havrdová, A. - Petřík, Petr - Pychová, Nikola - Smyčková, M. - Šebesta, J. - Vaníček, Jiří - Hédl, Radim
Historical sampling error: a neglected factor in long-term biodiversity change research.
Biological Conservation. Roč. 286, October (2023), č. článku 110317. ISSN 0006-3207. E-ISSN 1873-2917
R&D Projects: GA TA ČR(CZ) TO01000132; GA TA ČR(CZ) SS02030018
Institutional support: RVO:67985939
Keywords : forest biodiversity * observer error * vegetation survey
OECD category: Ecology
Impact factor: 4.9, year: 2023 ; AIS: 1.786, rok: 2023
Method of publishing: Open access
Result website:
https://doi.org/10.1016/j.biocon.2023.110317DOI: https://doi.org/10.1016/j.biocon.2023.110317

We focus on historical sampling error, a source of potential bias in long-term biodiversity assessments that has not been systematically addressed. We conclude that preferential historical sampling of the vegetation-environment continuum and species omission may have contributed to the differences in biodiversity and environmental change between the datasets. Our study shows that historical sampling error can have a significant impact on assessments of long-term biodiversity trends. We recommend that historical reference datasets should be critically assessed for po-tential sources of error in assessments of environmental change and management objectives.
Permanent Link: https://hdl.handle.net/11104/0348551