Brienen, RJW, Gloor, E and Zuidema, PA (2012) Can we detect evidence for CO2 fertilization from tree rings? Global Biogeochemical Cycles: an international journal of global change. ISSN 0886-6236
Tree ring analysis allows reconstructing historical growth rates over long periods. Several studies have reported an increasing trend in ring widths, often attributed to growth stimulation by increasing atmospheric CO2 concentration. However, these trends may also have been caused by sampling biases. Here we describe two biases and evaluate their magnitude. (1) The slow-grower survivorship bias is caused by differences in tree longevity of fast- and slow-growing trees within a population. If fast-growing trees live shorter, they are underrepresented in the ancient portion of the tree-ring dataset. As a result, reconstructed growth rates in the distant past are biased towards slower growth. (2) The big-tree selection bias is caused by sampling only the biggest trees in a population. As a result, slow-growing small trees are underrepresented in recent times as they did not reach the minimum sample diameter. We constructed stochastic models to simulate growth trajectories based on a hypothetical species with lifetime constant growth rates and on observed tree-ring data from the tropical tree Cedrela odorata. Tree growth rates used as input in our models were kept constant over time. By mimicking a standard tree ring sampling approach and selecting only big living trees, we show that both biases lead to apparent increases in historical growth rates. Increases for the slow-grower survivorship bias were relatively small and depended strongly on assumptions about tree mortality. The big-tree selection bias resulted in strong historical increases, with a doubling in growth rates over recent decades. A literature review suggests that historical growth increases reported in many tree-ring studies may have been partially due to the big-tree sampling bias. We call for great caution in the interpretation of historical growth trends from tree-ring analyses and recommend that such studies include individuals of all sizes.
|Institution:||The University of Leeds|
|Academic Units:||The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds)|
|Depositing User:||Symplectic Publications|
|Date Deposited:||13 Jan 2012 12:32|
|Last Modified:||23 Nov 2016 14:41|
|Publisher:||American Geophysical Union|