Exploring the growth response of Norway spruce (Picea abies) along a small-scale gradient of soil water supply

This page lists all metadata that was entered for this dataset. You can download the dataset.

Feature
Citation
Citation Options
Identification
Title:Main Title: Exploring the growth response of Norway spruce (Picea abies) along a small-scale gradient of soil water supply
Description:Abstract: The climate-growth response of specific sites and species is one of the main research subjects in classic tree ring studies. Traditional sampling approaches therefore aim at maximizing the climate signal of the analyzed tree ring series, which is typically achieved by focusing on dominant trees or on sites located in particularly temperature or moisture limited environments. However, there is increasing evidence that these selective sampling strategies cannot yield chronologies that are representative for entire populations. One promising approach to gain a deeper understanding of forest dynamics and climate-growth responsiveness is the analysis of climate signal ranges among trees. This individualistic approach requires random sampling and the integration of information on small-scale heterogeneities in site and tree characteristics. Here, we analyze the climate-growth response of 144 Norway spruce trees (Picea abies Karst.) on difference levels of data aggregation. The aim of our study is to investigate the relevance of small-scale heterogeneities in site conditions, particularly in soil water supply, for the detected climate-growth signal. We identify soil water supply and site characteristics, which indirectly modify the water availability for trees, as dominating growth factors across scales. The driest sites show the strongest climate-growth reaction, while the growth response of wetter sites is weak or even insignificant. Therefore, we conclude that integrating small-scale information on site characteristics, particularly on soil water supply, can help to gain a deeper understanding of species specific growth limitations.
Responsible Party
Creator:Inken Rabbel (Author)
Publisher:Elsevier
Publication Year:2018
Topic
TR32 Topic:Vegetation
Related Subproject:C1
Subject:Keyword: Vegetation
File Details
Filename:RabbelDendrochronologia2018.pdf
Data Type:Text - Article
File Size:1.2 MB
Date:Available: 11.10.2018
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:Free
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:[TR32DB] Data policy agreement
Geographic
Specific Information - Publication
Publication Status:Accepted
Review Status:Not peer reviewed
Publication Type:Article
Article Type:Journal
Source:Dendrochronologia
Source Website:https://www.journals.elsevier.com/dendrochronologia
Number of Pages:25 (1 - 25)
Metadata Details
Metadata Creator:Inken Rabbel
Metadata Created:15.10.2018
Metadata Last Updated:15.10.2018
Subproject:C1
Funding Phase:3
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:534
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
Feature