Dendroclimatic reconstruction of late Holocene summer temperatures in the Scottish Highlands
Abstract
This thesis focuses on reconstructing past temperatures using Scots pine (Pinus
sylvestris L.) tree-ring chronologies developed from Scotland. The research aims to fill
a spatial and temporal gap in understanding northwest European climate dynamics, thus
providing the context for assessing future climate changes in this region. Development
of both a spatially complete reconstruction from an extensive network of 44 'living'
Scottish tree-ring chronologies for the last few centuries, but also a near-millennium
length chronology from central Scotland using mainly lake-derived 'subfossil' wood
material was undertaken. Before reconstruction development, a combination of treegrowth
modelling and disturbance removal methodologies was utilised in order to
understand the drivers of pine growth in the Scottish Highlands, and to assess and
remove anthropogenic disturbance and other non-climatic influences on growth. The
advantages and limitations of utilising the relatively new 'Blue Intensity' (BI) parameter
was also explored and assessed, particularly in relation to its possible utilization as a
more affordable surrogate for maximum latewood density in the development of
temperature reconstructions and for crossdating validation of undated samples.
Although BI showed much promise for dendroclimatology, elimination of low
frequency biases resulting from sample discolouration still requires further attention.
Chronologies from the Cairngorms in central Scotland were identified as most suitable
for reconstruction development, while reconstructions based on chronologies from other
areas in the west were found to be weaker due to a range of factors including
disturbance. In order to maximise reconstruction strength, BI and ring width (RW) data
were combined to produce composite high-frequency BI / low-frequency RW
chronologies. Although it was possible to develop an ~800 year reconstruction of
temperature from central Scotland, there is substantial potential to further extend this
reconstruction back in time.
Type
Thesis, PhD Doctor of Philosophy
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