Long-term zooplankton composition data reveal impacts of invasions on community composition in the Waikato lakes, New Ze
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Long-term zooplankton composition data reveal impacts of invasions on community composition in the Waikato lakes, New Zealand Ian C. Duggan
. Deniz O ¨ zkundakci . Bruno O. David
Received: 24 May 2020 / Accepted: 9 October 2020 Ó Springer Nature B.V. 2020
Abstract Data collected on zooplankton community composition over longer time periods ([ 10 years) are rare. We examined among-lake spatial and temporal trends of zooplankton communities from a monitoring programme undertaken in the Waikato region, New Zealand. A total of 39 lakes were sampled over a period of 12 years, between 2007 and 2019, with varying degrees of temporal effort. We focussed particularly on eight lakes, considered here as ‘longterm lakes’, where samples were collected with greater regularity (including 5 with 12 years of data). Among lakes, suspended sediment concentrations and indicators of lake trophic state were inferred to be important in determining the zooplankton distributions; as this region is dominated by shallow lakes, the relative importance of suspended sediments was high. Among the long-term lakes, the greatest dissimilarities in
zooplankton community composition among years were in Lake Waahi, where the Australian Boeckella symmetrica was first detected in 2012. That is, the greatest temporal changes to zooplankton composition during the study period were due to the invasion by non-indigenous species, rather than changes in trophic state or other environmental variables; non-native species commonly dominated the individual counts of species through much of 2014 and 2015, with most samples since 2016 being again dominated by native species. Following this lake, the largest and shallowest lakes in the dataset—Whangape and Waikare—exhibited the greatest variability in community composition among years. Keywords Long-term monitoring Biomonitoring Bioindicators Invasions Copepods
Handling Editor: Te´lesphore Sime-Ngando.
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s10452-020-09803-8) contains supplementary material, which is available to authorised users. ¨ zkundakci I. C. Duggan (&) D. O Te Aka Ma¯tuatua - School of Science, Environmental Research Institute, The University of Waikato, Hamilton, New Zealand e-mail: [email protected] ¨ zkundakci B. O. David D. O Waikato Regional Council, Hamilton, New Zealand
Introduction Long-term ecological research and monitoring is undertaken to document changes in, and provide insights into, important properties of biological communities (Spellerberg 1991; Magurran et al. 2010; Lindenmayer et al. 2012). While such changes may be natural and cyclic, long-term monitoring is also essential for evaluating widespread human impacts on ecosystems (Spellerberg 1991). As such, this
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monitoring can be used to quantify ecological responses to ecosystem change, which can provide data to support evidence-based policy, decision-making and the management of ecosystems (Lindenma
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