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Lookup NU author(s): Dr Michael Eyre,
Dr Martin Luff,
Dr Jeremy Staley
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Aims: To determine the relationship between satellite-derived land cover data and distribution patterns of water beetle species pools. Location: A total of 687 British national grid 10 km squares in Scotland and 588 1 km grid squares in 99 10 km grid squares in northeast England. Methods: Multivariate classification and constrained ordination analyses were used with water beetle species and land cover data. Results:The major variation in both the Scotland and northeast England 10 km species pools was from squares with upland acid water habitats to squares with lowland fens and ponds whilst for the 1 km northeast England data it was from squares dominated by fast-flowing streams and rivers to those with fens and ponds. The secondary variations in the 10 and 1 km analyses were the primary ones juxtaposed. Constrained ordination of the Scottish 10 km data showed upland land cover types to be most influential in determining species pool distribution whilst lowland covers were more important with both the 10 and 1 km northeast England pools. The three analyses showed that coastal cover had a relatively high influence on species pool distribution but no species pool group was dominated by coastal species. Main conclusions:There were strong relationships between water beetle species pool distributions and the satellite-derived land cover types dominating upland and lowland areas. The major variation in the northeast England species pool data differed at the two scales analysed. Results indicated that there is considerable potential for the synthesis of water beetle distribution and land cover data for use in environmental and conservation monitoring at both the regional and national scales.
Author(s): Eyre MD, Foster GN, Luff ML, Staley JR
Publication type: Article
Publication status: Published
Journal: Journal of Biogeography
Print publication date: 01/12/2003
ISSN (print): 0305-0270
ISSN (electronic): 1365-2699
Publisher: Wiley-Blackwell Publishing
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