Biological assessment of rivers in the Manawatu‐Wanganui region of New Zealand using a predictive macroinvertebrate model
This study presents a river invertebrate and classification system (RIVPACS) type
bioassessment methodology for the Manawatu‐Wanganui region of New Zealand. Aquatic
macroinvertebrates and related physico‐chemical data were collected at 127 sites, with
minimal human impacts (reference sites) in 2000. The reference sites were classified into
five groups based on their macroinvertebrate data using TWINSPAN. These biotic groupings
were then applied to their corresponding physico‐chemical data and discriminant functions …
bioassessment methodology for the Manawatu‐Wanganui region of New Zealand. Aquatic
macroinvertebrates and related physico‐chemical data were collected at 127 sites, with
minimal human impacts (reference sites) in 2000. The reference sites were classified into
five groups based on their macroinvertebrate data using TWINSPAN. These biotic groupings
were then applied to their corresponding physico‐chemical data and discriminant functions …
Abstract
This study presents a river invertebrate and classification system (RIVPACS) type bioassessment methodology for the Manawatu‐Wanganui region of New Zealand. Aquatic macroinvertebrates and related physico‐chemical data were collected at 127 sites, with minimal human impacts (reference sites) in 2000. The reference sites were classified into five groups based on their macroinvertebrate data using TWINSPAN. These biotic groupings were then applied to their corresponding physico‐chemical data and discriminant functions were obtained to assign sites into the biotic groups using the physico‐chemical data. The discriminant functions correctly allocated 72% of the sites to the correct classification group using a jack‐knife validation. The probabilities from the discriminant functions were used to predict macroinvertebrate assemblages and these were compared with observed macroinvertebrate assemblages. The model was then used to assess the health of 29 test sites with known impacts. All test sites were assessed as impacted based on the 10th percentile of the reference data. To evaluate the temporal reliability of the model, data available for 11 sites sampled in 1997 and 2000 were run through the model. The results of this comparison showed little variation in O/E ratios over time and the two sites classed as impacted in 1997 were also classed as impacted in 2000.
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