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ABSTRACTS / RESUMES - Comitato Glaciologico Italiano

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and eastern England are assessed using the landsystems<br />

model.<br />

Landforms produced during surging include thrust and<br />

push moraines, concertina eskers and subglacial crevassesqueeze<br />

ridges. Sedimentary sequences are usually characterized<br />

by multiple stacked diamictons and stratified interbeds,<br />

which display severe glacitectonic contortion and<br />

faulting. Hummocky moraine comprising interbedded<br />

stratified sediments and mass flow diamictons has also<br />

been associated with surge margins where large quantities<br />

of englacial debris entrained during the surge event has<br />

melted out in situ. Similar landform/sediment associations<br />

appear to have been produced at the margins of fast<br />

flowing palaeo-ice streams. In southern Alberta, western<br />

Canada, a palaeo-ice stream within the southwest Laurentide<br />

Ice Sheet has been identified from a mega-fluting<br />

complex and an associated terminal moraine arc of glacitectonically<br />

distorted and thrust bedrock. Thrust moraines<br />

are common also at slow moving sub-polar glacier snouts<br />

where surging is extremely rare. Complex stratigraphies of<br />

glacitectonized diamicton and stratified interbeds have<br />

been widely reported from palaeo-glacier margins in Britain<br />

and northwest Europe where they are interpreted as<br />

the products of glacitectonic thickening of deformable sediments<br />

and are not necessarily associated with abnormal<br />

glacier velocities.<br />

Only concertina eskers and extensive networks of subglacial<br />

crevasse-squeeze ridges can really be associated exclusively<br />

with surging glacier margins. Contorted medial moraines<br />

are also good indicators of surge behaviour but have<br />

a very poor preservation record. In the absence of such<br />

features (eg. East Yorkshire) the local and regional aspects<br />

of the palaeogeography that are conducive to surge behaviour<br />

(eg, former deep ice-contact water bodies) should be<br />

assessed in conjunction with the glaciallandsystem.<br />

IAN S. EVANS l<br />

& NICHOLAS J. COX l<br />

Analysis, presentation and interrelation of directional<br />

data as applied to glaciers and glacial cirques<br />

1Earth Surface Systems Research Group, Department of Geography,<br />

University of Durham, South Road, Durham City DH1 3LE,<br />

England, U.K.<br />

Linear statistics are still frequently applied to 2-D directional<br />

data (azimuths, data on the circle), although it is well<br />

known that the results can be very misleading because the<br />

point at which the circle is divided is arbitrary. One problem<br />

is that most statistical program suites do not have<br />

routines which address the special properties of data on<br />

the circle, and users are tempted to use ordinary linear<br />

routines especially when their data sets include both linear<br />

and circular variables. Here the use of a number of routines<br />

for circular data, available from the authors, is exem-<br />

160<br />

plified for data sets for whole mountain ranges specifying<br />

the aspect, position, size and form of glaciers and glacial<br />

cirques. Other applications include hillslope analyses, river<br />

channel and network analyses, wind direction and<br />

bedform analyses (dunes, bars, drumlins)<br />

Univariate data presentation is not a trivial matter and three<br />

different approaches all have their strong points: a cumulative<br />

vector diagram, a histogram wrapped around a<br />

circle, and a linear histogram with repetition either side of<br />

the division point. For a linear histogram, repetition of a<br />

quarter-circle on the left and the right usually permits modes<br />

and minima to be properly appreciated. Alternatively,<br />

for unimodal distributions a linear histogram can be recentred<br />

so that the circle is divided opposite the mean resultant<br />

vector. Smoothing by a moving kernel on the circle<br />

can remove minor sampling or rounding fluctuations, but<br />

the number of 'real' modes remains a subjective interpretation.<br />

For bivariate scatter plots, the best solution is lateral<br />

repetition so that every data point plots four times; this ensures<br />

that the whole of a band or cluster of data points can<br />

be appreciated, whatever its shape or position.<br />

A special version of the correlation coefficient is available<br />

to interrelate paired values of aspect or azimuth. For<br />

example the correlation between axial aspect and headwall<br />

aspect is +0.873 for 158 cirques in the English Lake District,<br />

and +0.838 for 198 cirques in the Cayoosh Range,<br />

British Columbia. Circular variables are related to linear<br />

variables by Fourier regression, which can be summarised<br />

by another version of the correlation coefficient. Further<br />

tests deal with the randomness of a data set, compared<br />

with different alternative hypotheses, and the difference<br />

between two or more distributions.<br />

Both glaciers and cirques in the southern Coast Mountains'<br />

British Columbia show a landward trend to increased<br />

azimuthal concentration in the drier, more continental<br />

climate with higher snowline. Differences are significant in<br />

concentration but not in vector mean azimuth. The strong<br />

asymmetry is related to wind and solar radiation effects<br />

which reinforce eachother. Cirques are less azimuthally<br />

concentrated than glaciers in the same range; the climates<br />

in which they developed were colder than present, with a<br />

snowline about 400 m lower, but with no discernible difference<br />

in snow-bearing winds. They are believed to have<br />

developed before glacial maxima, at which they were inundated<br />

in the Cordilleran Ice Sheet.<br />

MARTIN EVANS<br />

The geomorphic sensitivity of alpine-subalpine basins<br />

in the Cascade Mountains, British Columbia, Canada<br />

Department of Geography, University of British Columbia,<br />

1984 West Mall Vancouver, British Columbia, Canada<br />

Concerns over global change have highlighted the importance<br />

of understanding the sensitivity of geomorphic sy-

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