Climate‐driven tree growth and mortality in the Black Forest, Germany: Long‐term observations
Data files
Oct 27, 2023 version files 9 KB
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README.md
2.95 KB
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Spiecker-Kahle-2023-GCB-Figure_2-7.zip
6.05 KB
Abstract
Episodic tree mortality can be caused by various reasons. This study describes climate‐driven tree mortality and tree growth in the Black Forest mountain range in Germany. It is based on a 68‐year consistent data series describing the annual mortality of all trees growing in a forest area of almost 250 thousand ha. The study excludes mortality caused by storm, snow and ice, and fire. The sequence of the remaining mortality, the so‐called “desiccated trees,” is analyzed and compared with the sequence of the climatic water balance during the growing season and the annual radial growth of Norway spruce in the Black Forest. The annual radial growth series covers 121 years and the climatic water balance series 140 years. These unique time series enable a quantitative assessment of multidecadal drought and heat impacts on growth and mortality of forest trees on a regional spatial scale. Data compiled here suggest that the mortality of desiccated trees in the Black Forest during the last 68 years is driven by the climatic water balance. Decreasing climatic water balance coincided with an increase in tree mortality and growth decline. Consecutive hot and dry summers enhance mortality and growth decline as a consequence of drought legacies lasting several years. The sensitivity of tree growth and mortality to changes in the climatic water balance increases with the decreasing trend of the climatic water balance. The findings identify the climatic water balance as the main driver of mortality and growth variation during the 68‐year observation period on a landscape‐scale including a variety of different sites. They suggest that bark beetle population dynamics modify mortality rates. They as well provide evidence that the mortality during the last 140 years never was as high as in the most recent years.
README
The Data stored in the attached zip-file refer to the GCB-publication: "Climate-driven tree growth and mortality in the Black Forest, Germany—Long-term observations" by Heinrich Spiecker and Hans-Peter Kahle; first published: 08 August 2023; https://doi.org/10.1111/gcb.16897.The files contain the list of data used in each of the figures 2 to 7.
File Spiecker-Kahle-2023-GCB-Figure-2.csv
Climatic water balance during the growing season (May–September) of the current and the four preceding years (CWB) according to Thornthwaite and Mather (1955) in mm. The five highest-ranked years and the five lowest-ranked years are marked with blue or red figures, respectively. From 1881 to 2020 CWB shows a significant negative trend (dotted line). Missing value code: n/a.
File Spiecker-Kahle-2023-GCB-Figure-3.csv
Time series of climatic water balance during the growing season May–September of the current and the four preceding years 1950–2020 in mm (line, y-axis inverted) plotted together with the annual tree mortality (bars, 1953–2020) over time. Tree mortality data for the years 2000–2004 are not included in this figure because of a severe storm event end of 1999. Missing value code: n/a.
File Spiecker-Kahle-2023-GCB-Figure-4.csv
Time series of observed mortality in % of the annual allowable cut (period 1953–2020) and modeled mortality based on the 5-year moving average climatic water balance during the growing season (CWB, period from 1950 to 2020; model M1). Observed mortality data for the years 2000–2001 are not included in this figure because of a severe storm event end of 1999. (Share of variance explained by model M1: 79.5%). Missing value code: n/a.
File Spiecker-Kahle-2023-GCB-Figure-5.csv
Time series of observed mortality in % of the annual allowable cut (period 1953–2020) and modeled mortality based on the annual radial growth rate index (RGR-index, period from 1950 to 2020, model M2; Further explanations see Figure 4; Share of variance explained by model M2: 56%). Missing value code: n/a.
File Spiecker-Kahle-2023-GCB-Figure-6.csv
Time series of observed annual radial growth rate index (RGR-index) and the modeled RGR-index based on the 5-year moving average climatic water balance during the growing season (period 1900–2020, model G, R2?=?0.649, p?.001). Significant break point (bp) in variance of the observed RGR-index time series: 1987 (p?.05). Missing value code: n/a.
File Spiecker-Kahle-2023-GCB-Figure-7.csv
Time series of observed and modeled tree mortality over time. The observed mortality from 1953 to 2020 is presented in red bars (the years 2000–2001 are not included because of a storm end of 1999). The blue bars describe the modeled mortality from 1881 to 2020 based on the climatic water balance (CWB, model M1) and the green bars describe the modeled mortality from 1900 to 2020 based on the annual radial growth rate index (RGR-index, model M2). Missing value code: n/a.
Methods
The collection of the data is described in the article.
Usage notes
The data are stored in a zip-file. The data format of the individual files is csv-format. The read-me file is in md-format.