Next Article in Journal
Contrast Effects of Vegetation Cover Change on Evapotranspiration during a Revegetation Period in the Poyang Lake Basin, China
Previous Article in Journal
Decision Support Approaches in Adaptive Forest Management
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Forests 2018, 9(4), 216; https://doi.org/10.3390/f9040216

Visualizing Individual Tree Differences in Tree-Ring Studies

1
Landscape Ecology and Ecosystem Dynamics Working Group, Institute of Botany and Landscape Ecology, University Greifswald, D-17487 Greifswald, Germany
2
Forest Growth and Woody Biomass Production, TU Dresden, D-01737 Tharandt, Germany
3
General and Special Botany Working Group, Institute of Botany and Landscape Ecology, University Greifswald, D-17487 Greifswald, Germany
*
Author to whom correspondence should be addressed.
Received: 29 March 2018 / Revised: 11 April 2018 / Accepted: 16 April 2018 / Published: 19 April 2018
(This article belongs to the Section Forest Ecology and Management)
Full-Text   |   PDF [3754 KB, uploaded 3 May 2018]   |  

Abstract

Averaging tree-ring measurements from multiple individuals is one of the most common procedures in dendrochronology. It serves to filter out noise from individual differences between trees, such as competition, height, and micro-site effects, which ideally results in a site chronology sensitive to regional scale factors such as climate. However, the climate sensitivity of individual trees can be modulated by factors like competition, height, and nitrogen deposition, calling attention to whether average chronologies adequately assess climatic growth-control. In this study, we demonstrate four simple but effective methods to visually assess differences between individual trees. Using individual tree climate-correlations we: (1) employed jitter plots with superimposed metadata to assess potential causes for these differences; (2) plotted the frequency distributions of climate correlations over time as heat maps; (3) mapped the spatial distribution of climate sensitivity over time to assess spatio-temporal dynamics; and (4) used t-distributed Stochastic Neighborhood Embedding (t-SNE) to assess which trees were generally more similar in terms of their tree-ring pattern and their correlation with climate variables. This suite of exploratory methods can indicate if individuals in tree-ring datasets respond differently to climate variability, and therefore, should not solely be explored with climate correlations of the mean population chronology. View Full-Text
Keywords: climate–growth relationships; averaging; individual based; dendrochronology climate–growth relationships; averaging; individual based; dendrochronology
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Trouillier, M.; Van der Maaten-Theunissen, M.; Harvey, J.E.; Würth, D.; Schnittler, M.; Wilmking, M. Visualizing Individual Tree Differences in Tree-Ring Studies. Forests 2018, 9, 216.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Forests EISSN 1999-4907 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top