Using simulations and data to evaluate mean sensitivity (ζ) as a useful statistic in dendrochronology

Bunn, A. G.; Jansma, E.; Korpela, Mikko; Westfall, Robert D.; Baldwin, James A.

doi:10.1016/j.dendro.2013.01.004

Cited by 59 publications

(40 citation statements)

References 11 publications

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“…Standard deviation (r): r is a more reliable and robust descriptive statistic of tree-ring chronologies than mean sensitivity (f) (Bunn et al 2013).…”

Section: Resultsmentioning

confidence: 99%

Topography alters tree growth–climate relationships in a semi‐arid forested catchment

2014

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Abstract. Topography and climate play an integral role in the spatial variability and annual dynamics of aboveground carbon sequestration. Despite knowledge of vegetation-climate-topography relationships on the landscape and hillslope scales, little is known about the influence of complex terrain coupled with hydrologic and topoclimatic variation on tree growth and physiology at the catchment scale. Climate change predictions for the semi-arid, western United States include increased temperatures, more frequent and extreme drought events, and decreases in snowpack, all of which put forests at risk of drought induced mortality and enhanced susceptibility to disturbance events. In this study, we determine how speciesspecific tree growth patterns and water use efficiency respond to interannual climate variability and how this response varies with topographic position. We found that Pinus contorta and Pinus ponderosa both show significant decreases in growth with water-limiting climate conditions, but complex terrain mediates this response by controlling moisture conditions in variable topoclimates. Foliar carbon isotope analyses show increased water use efficiency during drought for Pinus contorta, but indicate no significant difference in water use efficiency of Pinus ponderosa between a drought year and a non-drought year. The responses of the two pine species to climate indicate that semi-arid forests are especially susceptible to changes and risks posed by climate change and that topographic variability will likely play a significant role in determining the future vegetation patterns of semi-arid systems.

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“…Standard deviation (r): r is a more reliable and robust descriptive statistic of tree-ring chronologies than mean sensitivity (f) (Bunn et al 2013).…”

Section: Resultsmentioning

confidence: 99%

Topography alters tree growth–climate relationships in a semi‐arid forested catchment

2014

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“…Fritts (1976) stated that the reason of yearly changes on tree-ring width is climate and in extreme changes sensitivity ratio increases. Bunn et al (2013) stated that mean sensitivity was conceived as a statistic that would indicate if a series was useful for crossdating or responsive to climate. In this study, we calculate the magnitude of year-by-year sensitivity of tree-ring series to find if there is any change in sensitivity.…”

Section: Chronology Developmentmentioning

confidence: 99%

Tree-ring chronologies of Pinus sylvestris from Burabai Region (Kazakhstan) and their response to climate change

Kopabayeva¹,

Mazarzhanova²,

Köse³

et al. 2017

Dendrobiology

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Pinus sylvestris L. (Scots pine) is the main forest tree species in Burabai National Park. Trees here grow under continental climate conditions. There are no dendroclimatological studies based on Scots pine of this region. The purpose of this study was to find the relationships between tree-ring widths and climate. For this purpose, a total of 176 cores from 100 Scots pine trees were collected. After measuring tree-ring widths, standard chronology building methods were used, and three site chronologies were constructed. Correlation coefficients between tree-ring widths with temperature and precipitation were calculated. Precipitation from October of the previous year to July of current year had a positive influence on tree-ring widths and August-September precipitation have the opposite effect. Temperature in the winter had positive effect for tree-ring growth but significantly negative during summer. Effects of climate changes on tree-ring widths were observed. The variation and sensitivity of tree-ring widths increased after 1940s. An increasing trend in precipitation, temperature, and tree-ring widths were clearly observed. In conclusion, tree-rings of Scots pine in Burabai are highly sensitive to growing site conditions and are affected by climate changes.

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“…represents a better statistic to describe the variations in tree growth, compared to the mean sensitivity which has been reported previously as confusing and ambiguous [50].…”

Section: Low-frequency Signal and High-frequency Variability Of Beechmentioning

confidence: 99%

“…HFV was computed from the high-frequency signal of each tree as the conditional standard deviation of the fitted GARCH (1, 1) model. HFV represents a better statistic to describe the variations in tree growth, compared to the mean sensitivity which has been reported previously as confusing and ambiguous [50]. The high-frequency variability ( ) was then estimated using generalized autoregressive conditional heteroscedasticity (GARCH) models by using the "fGarch" package [49] implemented in the R software [48].…”

Section: Low-frequency Signal and High-frequency Variability Of Beechmentioning

confidence: 99%

Major Changes in Growth Rate and Growth Variability of Beech (Fagus sylvatica L.) Related to Soil Alteration and Climate Change in Belgium

Latte

Perin

Kint

et al. 2016

Forests

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Global change-particularly climate change, forest management, and atmospheric deposition-has significantly altered forest growing conditions in Europe. The influences of these changes on beech growth (Fagus sylvatica L.) were investigated for the past 80 years in Belgium, using non-linear mixed effects models on ring-width chronologies of 149 mature and dominant beech trees (87-186 years old). The effects of the developmental stage (i.e., increasing tree size) were filtered out in order to focus on time-dependent growth changes. Beech radial growth was divided into a low-frequency signal (=growth rate), mainly influenced by forest management and atmospheric deposition, and into a high-frequency variability («mean sensitivity), mainly influenced by climate change. Between 1930 and 2008, major long-term and time-dependent changes were highlighted. The beech growth rate has decreased by about 38% since the 1950-1960s, and growth variability has increased by about 45% since the 1970-1980s. Our results indicate that (1) before the 1980s, beech growth rate was not predominantly impacted by climate change but rather by soil alteration (i.e., soil compaction and/or nitrogen deposition); and (2) since the 1980s, climate change induced more frequent and intense yearly growth reductions that amplified the growth rate decrease. The highlighted changes were similar in the two ecoregions of Belgium, although more pronounced in the lowlands than in the uplands.

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Using simulations and data to evaluate mean sensitivity (ζ) as a useful statistic in dendrochronology

Cited by 59 publications

References 11 publications

Topography alters tree growth–climate relationships in a semi‐arid forested catchment

Topography alters tree growth–climate relationships in a semi‐arid forested catchment

Tree-ring chronologies of Pinus sylvestris from Burabai Region (Kazakhstan) and their response to climate change

Major Changes in Growth Rate and Growth Variability of Beech (Fagus sylvatica L.) Related to Soil Alteration and Climate Change in Belgium

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