A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Applications of extensive survey techniques to describe freshwater pearl mussel distribution and macrohabitat in the River Spey, Scotland
AbstractThe spatial distribution and associated physical habitat of endangered freshwater pearl mussels (Margaritifera margaritifera) in a 145 km stretch of the River Spey, northeast Scotland, were investigated. The overall size of the SpeyM. margaritiferapopulation was estimated to be in the order of 10 million. Mussel distributions were compared with River Corridor Survey (RCS) macrohabitat data and found to be positively associated with coarse riverbed substrata, ‘fast‐flowing’ waters, riparian woodland, and river bends; and negatively associated with shingle bars, flood barriers, ‘slow‐flowing’ waters, eroding cliffs and aquatic macrophytes. Significant positive relationships between mussel density and channel slope, width and bank height, were also observed. Binary logistic regression models (based on four to six features) were used to predict the presence/absence of mussels or the occurrence of ‘optimal’ mussel habitat (i.e. mussel density >1 m−2) at any given site. Overall predictive success rates of 79% and 78% were achieved, respectively. Discriminant function models (based on five variables) were also used, with predictive success rates of 78% and 88%, respectively. Copyright © 2004 John Wiley & Sons, Ltd.
Applications of extensive survey techniques to describe freshwater pearl mussel distribution and macrohabitat in the River Spey, Scotland
AbstractThe spatial distribution and associated physical habitat of endangered freshwater pearl mussels (Margaritifera margaritifera) in a 145 km stretch of the River Spey, northeast Scotland, were investigated. The overall size of the SpeyM. margaritiferapopulation was estimated to be in the order of 10 million. Mussel distributions were compared with River Corridor Survey (RCS) macrohabitat data and found to be positively associated with coarse riverbed substrata, ‘fast‐flowing’ waters, riparian woodland, and river bends; and negatively associated with shingle bars, flood barriers, ‘slow‐flowing’ waters, eroding cliffs and aquatic macrophytes. Significant positive relationships between mussel density and channel slope, width and bank height, were also observed. Binary logistic regression models (based on four to six features) were used to predict the presence/absence of mussels or the occurrence of ‘optimal’ mussel habitat (i.e. mussel density >1 m−2) at any given site. Overall predictive success rates of 79% and 78% were achieved, respectively. Discriminant function models (based on five variables) were also used, with predictive success rates of 78% and 88%, respectively. Copyright © 2004 John Wiley & Sons, Ltd.
Applications of extensive survey techniques to describe freshwater pearl mussel distribution and macrohabitat in the River Spey, Scotland
River Research & Apps
Hastie, L. C. (author) / Cooksley, S. L. (author) / Scougall, F. (author) / Young, M. R. (author) / Boon, P. J. (author) / Gaywood, M. J. (author)
River Research and Applications ; 20 ; 1001-1013
2004-12-15
Article (Journal)
Electronic Resource
English
Engineering Index Backfile | 1932
| British Library Online Contents | 1997