Abstract
Climate is an important driver of ecological dynamics. However, many quantitative methods still ignore the fact that both ecological and climatic dynamics are inherently non-linear. While temporal variability is commonly measured as the standard deviation of the records in a time-series, temporal determinism and predictability can be measured using the approach of Recurrence Plots–Recurrence Quantification Analysis (RP–RQA). In this study, we explore the relationship between climate dynamics and biodiversity of two taxonomic groups (mammal species and tree family richness) over the North- and South-American landmasses. We found that higher biodiversity levels in both taxonomic groups are associated to lower values of climate predictability, determinism and variability in monthly temperature data. Our results also revealed a multiplicity of climate–biodiversity relationships, suggesting that the mechanisms underlying large-scale geographic variations in biodiversity may be more complex that originally envisioned.
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Proulx, R., Parrott, L., Fahrig, L., Currie, D.J. (2015). Long Time-Scale Recurrences in Ecology: Detecting Relationships Between Climate Dynamics and Biodiversity Along a Latitudinal Gradient. In: Webber, Jr., C., Marwan, N. (eds) Recurrence Quantification Analysis. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-07155-8_11
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DOI: https://doi.org/10.1007/978-3-319-07155-8_11
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