Ecological memory at millennial time‐scales: the importance of data constraints, species longevity and niche features
We simulate the population dynamics and pollen abundance of 16 virtual taxa with different life and niche traits as a response to an environmental driver. The data is processed to mimic a realistic sediment deposition and sampled at increasing depth intervals. We quantify ecological memory with Random Forests, and assess how data properties and taxa traits shape ecological memory.
We find that life‐span and niche features modulate the relative importance of the antecedent values of the driver and the pollen abundance over periods of 240 yr and longer. Additionally, we find that accumulation rate and decreasing pollen‐sampling resolution inflate the importance of antecedent pollen abundance.
Our results suggest that: 1) ecological memory patterns are sensitive to varying accumulation rates. A better understanding on the numerical basis of this effect may enable the assimilation of ecological memory concepts and methods in palaeoecology; 2) incorporating niche theory and models is essential to better understand the nature of ecological memory patterns at millennial time‐scales. 3) Long‐lived generalist taxa are highly decoupled from the environmental signal. This finding has implications on how we interpret the abundance‐environment relationship of real taxa with similar traits, and how we use such knowledge to forecast their distribution or reconstruct past climate.
No keywords indexed for this article. Browse by subject →
C. W. J. Granger
Quinn Asena, George L. W. Perry · 2026
- Published
- Oct 22, 2019
- Vol/Issue
- 43(1)
- Pages
- 1-10
- License
- View
You May Also Like
Carsten F. Dormann, Jane Elith · 2012
8,522 citations
Jane Elith*, Catherine H. Graham* · 2006
7,070 citations
Steven J. Phillips, Miroslav Dudík · 2008
5,500 citations
Cory Merow, Matthew J. Smith · 2013
3,078 citations
Wilfried Thuiller, Bruno Lafourcade · 2009
2,239 citations