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Bacterial populations,heterotrophic potentials,and water quality in three New Zealand Rivers
Authors:M. J. Spencer  Angela J. Ramsay
Affiliation:1. Cawthron Institute , P.O. Box 175, Nelson, New Zealand;2. Cawthron Institute , P.O. Box 175, Nelson, New Zealand;3. 11a Ashfield Place, Christchurch 4, New Zealand
Abstract:Abstract

Thirty sites were sampled in three New Zealand rivers (Waikato, Maitai, and Wakapuaka) during late summer 1977. Samples were collected from just below the surface at mid river or in the tailraces below hydro‐electric dams.

Parameters measured included bacterial numbers (direct counts), heterotrophic potential (Vmax ), adenosine triphosphate (ATP), chlorophyll a (Chi a), and concentrations of nitrogen and phosphorus compounds.

Bacterial populations per millilitre fluctuated threefold (6.4–19.4 × 105) along the Waikato River and were lower and more consistent in the two South Island rivers (1.46–2.55 × 105). In contrast, Vmax varied 5000‐fold in the Waikato River, from a characteristically oligotrophic value of 0.0035 μg. l?1·h?1 (Lake Taupo outlet) to a eutrophic value of 18.4 μg. l?1·h?1 at the Mihi bridge. Vmax for the two South Island rivers ranged from 0.0091 to 0.189 μg. l?1 · h?1.

ATP, Chi a, Kjeldahl nitrogen, nitrate nitrogen, and total phosphorus concentrations for the 20 sites on the Waikato River varied in a similar way to the Vmax and bacterial data. There were large peaks at the Mihi bridge, lower values for the dam tailraces and significant increases for the sites below Hamilton. Concentrations for these parameters were lower and more consistent along the lengths of the two South Island rivers.

Most parameters were significantly correlated with each other for the Waikato River samples. The strongest correlations were between Vmax and bacterial numbers and between Vmax and nitrate nitrogen. In the Maitai and Wakapuaka River series these correlations were also significant, but the only other significant correlations recorded there were between ATP and nitrate nitrogen, and between ATP and bacterial numbers.
Keywords:coastal biology  marine ecology  soft shore  hard shore  experiments  journal publications  review
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