Mollusc assemblages in palaeoecological reconstructions: an investigation of their predictive power using transfer function models

HORSÁK, Michal. Mollusc assemblages in palaeoecological reconstructions: an investigation of their predictive power using transfer function models. Boreas. 2011, vol. 40, No 3, p. 459-467. ISSN 0300-9483.

Basic information

• Original name: Mollusc assemblages in palaeoecological reconstructions: an investigation of their predictive power using transfer function models
• Authors: HORSÁK, Michal (203 Czech Republic, guarantor, belonging to the institution).
• Edition: Boreas, 2011, 0300-9483.

Other information

• Original language: English
• Type of outcome: Article in a journal
• Field of Study: 10600 1.6 Biological sciences
• Country of publisher: Belgium
• Confidentiality degree: is not subject to a state or trade secret
• Impact factor: Impact factor: 1.910
• RIV identification code: RIV/00216224:14310/11:00049471
• Organization unit: Faculty of Science
• UT WoS: 000292106800005
• Keywords in English: Molluscs; spring fens; palaeo-reconstructions; transfer functions; environmental factors; predictions
• Tags: AKR, rivok

Abstract

Fossil mollusc assemblages are commonly used to reconstruct past environments, as their shells are abundant in various types of calcium-rich deposits. However, it is impossible to exactly evaluate estimates derived from fossil data using directly measured factors. To assess the accuracy of environmental variables derived from mollusc species composition, two modern data sets (training and test), each consisting of 73 samples of treeless fen communities, were constructed along with known local and climatic variables. The main predictors of species composition were isolated using canonical correspondence analysis and forward selection with the Monte Carlo permutation test. The accuracy of prediction for those factors that were significant in the forward selection was studied via four commonly used transfer function models. Three independent gradients of species composition driven by calcium content, moisture and temperature were detected. The best predictions were found for variables that correlated with the main changes in species composition. The strongest correlation between the predicted and measured values of the test data set was observed for water conductivity (r=0.86), a good proxy of calcium content. The locally weighted–weighted averaging transfer function model performed best out of all the models for the majority of variables tested. Mollusc assemblages were found to be useful for estimating local environmental variables based on a given species composition. Along with the specific advantages of mollusc fossil material, there is much potential for the use of their fossil assemblages to reconstruct palaeoenvironmental variables using transfer function models calibrated from recent compositional data and directly measured factors.

Links

• GAP504/11/0429, research and development project: Name: Gradienty prostředí, vegetační dynamika a krajinné změny v Západních Karpatech od pozdního glaciálu po současnost (Acronym: PALAEO-CARPATHIANS)

Investor: Czech Science Foundation

• KJB601630803, research and development project: Name: Původ a vývoj vápnitých slatinišť a jejich bioty v Západních Karpatech: Otázka glaciálních reliktů a refugií

Investor: Academy of Sciences of the Czech Republic, Origin and development of the Western Carpathian calcareous-fens and their biota: the question of glacial relicts and refuges

• MSM0021622416, plan (intention): Name: Diverzita biotických společenstev a populací: kauzální analýza variability v prostoru a čase

Investor: Ministry of Education, Youth and Sports of the CR, Diversity of Biotic Communities and Populations: Causal Analysis of variation in space and time