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• W2165351293 abstract "The nature of aquatic plant communities often defines benthic habitat within oligotrophic and mesotrophic lakes and lake management increasingly recognizes the importance of maintaining plant diversity in order to sustain biological diversity and capacity within lakes. We have developed simple statistical relationships between key physical and vegetation variables that define the habitat requirements, or “habitat-templates”, of key vegetation types to facilitate management of plant communities in New Zealand lakes. Statistical relationships were derived from two datasets. The first was a multi-lake dataset to determine the effects of water level fluctuation and water clarity. The second dataset was from a comprehensive shoreline survey of Lake Wanaka, which allowed us to examine within-lake variables such as beach slope and wave action. Sufficient statistical relationships were established to develop a habitat template for each of the major species or assemblages. The relationships suggested that the extent and diversity of shallow-growing species was related to a combination of the extent of water level fluctuation and wave exposure. Upper limits of many deeper-growing species could also be related to wave action exposure. Water clarity set the lower limits for most vegetation types. To test the applicability of the templates we compared predictions with recent surveys of two lakes, Lake Wakatipu and Lake Manapouri, which were not included in the model formulation. We found that vegetation variables predicted from water level fluctuation and water clarity provided useful estimates of species diversity and lower depth limits on lakewide scales. Predictions of finer scale distributions, based on estimates of wave action made using a 200-m resolution shoreline model, with no site-specific wind, slope or aspect data were useful with respect to the presence or absence of vegetation, but poor predictors of the depth ranges of plants. Overall, our analysis showed that the habitat template approach is a valuable tool for estimating the likely distribution, range and composition of vegetation within a lake, but that the spatial resolution within a lake is poor when predictions are based on coarse scale variables." @default.
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• W2165351293 date "2003-01-01" @default.
• W2165351293 modified "2023-09-26" @default.
• W2165351293 title "Physical Constraints to Aquatic Plant Growth in New Zealand Lakes" @default.
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