ISSN:
1573-5052
Keywords:
Mire
;
Multidimensional soaling
;
Ordination
;
Peat-bog
;
Principal component analysis
;
Principal coordinate analysis
;
Reciprocal averaging
;
Transformation of data
Source:
Springer Online Journal Archives 1860-2000
Topics:
Biology
Notes:
Summary (1) Hummell Knowe Moss is one of several fine and relatively undamaged peat bogs in northern England, close to the border with Scotland. (2) The central, eccentrically domed, mass of peat is ca 300×600 m, and much of this is 7 to 10 m deep. (3) A single profile has 8 m of bog peat overlying 2.5 m of Phragmites peat with seeds of Potamogeton and Nymphaea. The bog as a whole is probably part ‘raised’ and part ‘blanket’, as are others in the area. (4) Much of the present surface is wet, with Sphaanum magellanicum, Eriophorum spp., Andromedia polifolia etc. There are some eroded areas with less Sphagnum and more abundant fruticose lichens (Cladonia spp.), and marginal areas with Molinia caerulea, Deschampsia flexuosa, Sphognum recurvum and Polytrichum commune. (5) Numerical analyses show the importance of data transformation. Of the ordination methods tried, PCA produced unhelpful results, but RA, PCO and NP-MDS were all adequate. PCO can take a variety of dissimilarity measures, but not all produce useful results. NP-MDS is more tolerant, and can also be used to adjust the relative importance of inter-pair dissimilarities in a more flexible way than can PCO. (6) Further analyses by RA after removal of outliers were not of great use, but those by PCO and NP-MDS revealed clear patterns. Two of the groups of sites were less clearly developed versions of the erosion and marginal vegetation types. The third type may be developed in slightly drier conditions, or may in some places result from differences in management. (7) The usefulness of the methods in this survey was NP-MDS 〉 PCO 〉 RA 〉 PCA. Computing cost of NP-MDS, PCO and RA paralles usefulness: more useful, greater cost.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00048880
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