Zostera muelleri as a structuring agent of benthic communities in a large intertidal sandflat in New Zealand

The influence of seagrass beds on intertidal infaunal communities has been widely studied, with vegetated areas typically having higher diversity and abundances than adjacent bare sand patches. Such “seagrass–sand” comparisons, however, do not reflect the gradient of seagrass cover that may exist across large landscapes. We studied the large-scale distribution of intertidal macrozoobenthos over approximately 10,000 ha of sandflat on Farewell Spit, New Zealand. The benthic fauna, sediment composition and surface cover of the seagrass Zostera muelleri were studied at 192 sites evenly spaced along 30 transects covering the length of the 30 km spit. Most sites had Zostera present, generally at low densities (1–25% surface cover). Overall, invertebrate taxon diversity increased with Zostera cover, from a median of 4 taxa at sites with no Zostera to 23 at sites with high Zostera cover. Multivariate analyses of 37 frequently occurring taxa (of the 91 recognised) indicated that there was a site gradient of taxon abundances that reflected seagrass cover, with 23 taxa increasing as Zostera cover increased. Only three taxa tended to be found more where Zostera was scarce. Seventeen taxa were identified as being significant indicators of Zostera cover; in all cases abundances peaked with high Zostera scores. Cluster analysis revealed a number of major groupings. One group was associated with low Zostera; two were strongly associated with high Zostera cover; a fourth was probably distinguished by low tidal elevation and proximity to channels. On the Farewell Spit tidal flats, large-scale patterns of abundance seem to be largely structured by the presence and density of Zostera.     

QUANTIFYING SIMILARITY FOR HANDLING INFORMATION IN KNOWLEDGE BASES

When constructing diagnostic systems or using knowledge-based systems,e.g.in analytical chemistry,features of different type and character,represented by numbers,trajectories or linguistic variables suchas intensities or colours,must be considered.To find neighbourhoods or to fill in missing values,thenotion of similarity is of essential importance.The paper presents a new fuzzy-set-theory-based approachto quantifying similarity and provides a system of rules to be implemented into the diagnostic part of theknowledge base to be used.