Implications of Liebig’s Law of the Minimum for Tree-Ring Reconstructions of Climate

A basic principle of ecology, known as Liebig's Law of the Minimum, is that plant growth reflects the strongest limiting environmental factor. This principle implies that a limiting environmental factor can be inferred from historical growth and, in dendrochronology, such reconstruction is gene...

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Published in:Environmental Research Letters
Main Authors: Stine, Alexander, Huybers, Peter
Format: Article in Journal/Newspaper
Language:English
Published: IOP Publishing 2017
Subjects:
Online Access:http://nrs.harvard.edu/urn-3:HUL.InstRepos:40992635
https://doi.org/10.1088/1748-9326/aa8cd6
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spelling ftharvardudash:oai:dash.harvard.edu:1/40992635 2023-05-15T15:05:34+02:00 Implications of Liebig’s Law of the Minimum for Tree-Ring Reconstructions of Climate Stine, Alexander Huybers, Peter 2017-11-01 application/pdf http://nrs.harvard.edu/urn-3:HUL.InstRepos:40992635 https://doi.org/10.1088/1748-9326/aa8cd6 en_US eng IOP Publishing Environmental Research Letters Stine, A. R., and P. Huybers. 2017. Implications of Liebig’s Law of the Minimum for Tree-Ring Reconstructions of Climate. Environmental Research Letters 12, no. 11. 1748-9326 http://nrs.harvard.edu/urn-3:HUL.InstRepos:40992635 doi:10.1088/1748-9326/aa8cd6 Environ. Res. Lett. Journal Article 2017 ftharvardudash https://doi.org/10.1088/1748-9326/aa8cd6 2022-04-04T12:35:34Z A basic principle of ecology, known as Liebig's Law of the Minimum, is that plant growth reflects the strongest limiting environmental factor. This principle implies that a limiting environmental factor can be inferred from historical growth and, in dendrochronology, such reconstruction is generally achieved by averaging collections of standardized tree-ring records. Averaging is optimal if growth reflects a single limiting factor and noise but not if growth also reflects locally variable stresses that intermittently limit growth. In this study a collection of Arctic tree ring records is shown to follow scaling relationships that are inconsistent with the signal-plus-noise model of tree growth but consistent with Liebig's Law acting at the local level. Also consistent with law-of-the-minimum behavior is that reconstructions based on the least-stressed trees in a given year better-follow variations in temperature than typical approaches where all tree-ring records are averaged. Improvements in reconstruction skill occur across all frequencies, with the greatest increase at the lowest frequencies. More comprehensive statistical-ecological models of tree growth may offer further improvement in reconstruction skill. Accepted Manuscript Article in Journal/Newspaper Arctic Harvard University: DASH - Digital Access to Scholarship at Harvard Arctic Environmental Research Letters 12 11 114018
institution Open Polar
collection Harvard University: DASH - Digital Access to Scholarship at Harvard
op_collection_id ftharvardudash
language English
description A basic principle of ecology, known as Liebig's Law of the Minimum, is that plant growth reflects the strongest limiting environmental factor. This principle implies that a limiting environmental factor can be inferred from historical growth and, in dendrochronology, such reconstruction is generally achieved by averaging collections of standardized tree-ring records. Averaging is optimal if growth reflects a single limiting factor and noise but not if growth also reflects locally variable stresses that intermittently limit growth. In this study a collection of Arctic tree ring records is shown to follow scaling relationships that are inconsistent with the signal-plus-noise model of tree growth but consistent with Liebig's Law acting at the local level. Also consistent with law-of-the-minimum behavior is that reconstructions based on the least-stressed trees in a given year better-follow variations in temperature than typical approaches where all tree-ring records are averaged. Improvements in reconstruction skill occur across all frequencies, with the greatest increase at the lowest frequencies. More comprehensive statistical-ecological models of tree growth may offer further improvement in reconstruction skill. Accepted Manuscript
format Article in Journal/Newspaper
author Stine, Alexander
Huybers, Peter
spellingShingle Stine, Alexander
Huybers, Peter
Implications of Liebig’s Law of the Minimum for Tree-Ring Reconstructions of Climate
author_facet Stine, Alexander
Huybers, Peter
author_sort Stine, Alexander
title Implications of Liebig’s Law of the Minimum for Tree-Ring Reconstructions of Climate
title_short Implications of Liebig’s Law of the Minimum for Tree-Ring Reconstructions of Climate
title_full Implications of Liebig’s Law of the Minimum for Tree-Ring Reconstructions of Climate
title_fullStr Implications of Liebig’s Law of the Minimum for Tree-Ring Reconstructions of Climate
title_full_unstemmed Implications of Liebig’s Law of the Minimum for Tree-Ring Reconstructions of Climate
title_sort implications of liebig’s law of the minimum for tree-ring reconstructions of climate
publisher IOP Publishing
publishDate 2017
url http://nrs.harvard.edu/urn-3:HUL.InstRepos:40992635
https://doi.org/10.1088/1748-9326/aa8cd6
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Environ. Res. Lett.
op_relation Environmental Research Letters
Stine, A. R., and P. Huybers. 2017. Implications of Liebig’s Law of the Minimum for Tree-Ring Reconstructions of Climate. Environmental Research Letters 12, no. 11.
1748-9326
http://nrs.harvard.edu/urn-3:HUL.InstRepos:40992635
doi:10.1088/1748-9326/aa8cd6
op_doi https://doi.org/10.1088/1748-9326/aa8cd6
container_title Environmental Research Letters
container_volume 12
container_issue 11
container_start_page 114018
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