When macroecological transitions are a fiction of sampling

Comparing herbarium records to plot-based species inventory data

Greg R. Guerin, Alan N. Andersen, Maurizio Rossetto, Stephen van Leeuwen, Margaret Byrne, Ben Sparrow, Michelle Rodrigo, Andrew J. Lowe

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Natural history collections are alternative data sources to plot-based species inventories for analysing macroecological species turnover. Herbarium records sample diversity well at regional level and are taxonomically validated. However, they are ad hoc from a sampling perspective, generating spatial and taxonomic biases. The implications of biased sampling on beta diversity (β) estimation, and use of herbarium data to identify macroecological transitions, remain unexplored. We tested sampling influences by comparing herbarium data with systematically collected inventory data from the Mount Lofty-Flinders Ranges region of Australia. We calculated β within moving windows across bioclimatic gradients using metrics varying in sensitivity to richness differences (pairwise/multi-site Sørensen β Simpson β Harrison et al. β-2), and correlated β to species sampling and between herbarium and plot data. We tested whether generalised dissimilarity modelling (GDM) revealed the same compositional transitions in herbarium and plot data along environmental gradients. Sørensen, Simpson and multi-site Sørensen β had strong negative correlations with richness (indicating sampling bias) for herbarium data (Pearson's r=-0.85, -0.80, -0.81, respectively) but not plots (r=-0.27, -0.28, -0.11). Harrison et al. β-2 correlated poorly with richness (herbarium: r=-0.16; plots: r=-0.14) but herbarium and plot data were only weakly correlated (r=0.18). All other metrics correlated poorly (-0.03<r<0.16) between datasets, suggesting biases. GDMs differed in variable importance but revealed similar transition zones for key gradients. We conclude that untransformed herbarium data are unsuitable for detecting macroecological transitions because turnover is linearly related to sampling intensity and correlates poorly with systematic surveys. Herbarium data should be used cautiously for β, even with methods insensitive to richness differences. However, herbarium data can robustly reproduce transition zones when modelled along environment gradients. We recommend this approach for detecting macroecological transitions using natural history data in the absence of plot data.

Original languageEnglish
Pages (from-to)1864-1875
Number of pages12
JournalEcography
Volume41
Issue number11
Early online date30 Jan 2018
DOIs
Publication statusPublished - Nov 2018

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species inventory
herbarium
herbaria
sampling
natural history
transition zone
turnover
sampling bias
environmental gradient
history

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Guerin, G. R., Andersen, A. N., Rossetto, M., van Leeuwen, S., Byrne, M., Sparrow, B., ... Lowe, A. J. (2018). When macroecological transitions are a fiction of sampling: Comparing herbarium records to plot-based species inventory data. Ecography, 41(11), 1864-1875. https://doi.org/10.1111/ecog.03607
Guerin, Greg R. ; Andersen, Alan N. ; Rossetto, Maurizio ; van Leeuwen, Stephen ; Byrne, Margaret ; Sparrow, Ben ; Rodrigo, Michelle ; Lowe, Andrew J. / When macroecological transitions are a fiction of sampling : Comparing herbarium records to plot-based species inventory data. In: Ecography. 2018 ; Vol. 41, No. 11. pp. 1864-1875.
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abstract = "Natural history collections are alternative data sources to plot-based species inventories for analysing macroecological species turnover. Herbarium records sample diversity well at regional level and are taxonomically validated. However, they are ad hoc from a sampling perspective, generating spatial and taxonomic biases. The implications of biased sampling on beta diversity (β) estimation, and use of herbarium data to identify macroecological transitions, remain unexplored. We tested sampling influences by comparing herbarium data with systematically collected inventory data from the Mount Lofty-Flinders Ranges region of Australia. We calculated β within moving windows across bioclimatic gradients using metrics varying in sensitivity to richness differences (pairwise/multi-site S{\o}rensen β Simpson β Harrison et al. β-2), and correlated β to species sampling and between herbarium and plot data. We tested whether generalised dissimilarity modelling (GDM) revealed the same compositional transitions in herbarium and plot data along environmental gradients. S{\o}rensen, Simpson and multi-site S{\o}rensen β had strong negative correlations with richness (indicating sampling bias) for herbarium data (Pearson's r=-0.85, -0.80, -0.81, respectively) but not plots (r=-0.27, -0.28, -0.11). Harrison et al. β-2 correlated poorly with richness (herbarium: r=-0.16; plots: r=-0.14) but herbarium and plot data were only weakly correlated (r=0.18). All other metrics correlated poorly (-0.03",
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Guerin, GR, Andersen, AN, Rossetto, M, van Leeuwen, S, Byrne, M, Sparrow, B, Rodrigo, M & Lowe, AJ 2018, 'When macroecological transitions are a fiction of sampling: Comparing herbarium records to plot-based species inventory data', Ecography, vol. 41, no. 11, pp. 1864-1875. https://doi.org/10.1111/ecog.03607

When macroecological transitions are a fiction of sampling : Comparing herbarium records to plot-based species inventory data. / Guerin, Greg R.; Andersen, Alan N.; Rossetto, Maurizio; van Leeuwen, Stephen; Byrne, Margaret; Sparrow, Ben; Rodrigo, Michelle; Lowe, Andrew J.

In: Ecography, Vol. 41, No. 11, 11.2018, p. 1864-1875.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Byrne, Margaret

AU - Sparrow, Ben

AU - Rodrigo, Michelle

AU - Lowe, Andrew J.

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