Abstract
Demonstrating the effectiveness of environmental watering to maintain ecosystem health is becoming increasingly important, particularly in semiarid floodplain ecosystems. We evaluated the effects of a large-scale environmental flow event on a semi-arid floodplain lakeside plant assemblage for meeting the management goal of increasing water-dependent taxa and functional groups. We developed a multi-taxon Bayesian hierarchical model to describe temporal and small-scale spatial patterns in taxonomic occurrences. We then examined community summary metrics to evaluate patterns for the entire floodplain lakes system, the scale most relevant to management. Overall, in a system dominated by terrestrial dry plant taxa, 52.9% of terrestrial damp plant taxa showed a short-term increase in occurrence in response to the environmental flow, which translated into similar responses in some functional groups. However, nearly half of the plant taxa that increased then demonstrated a decline by 18-months after the flow event. Our community summary metrics captured these general results; however, they were disproportionately influenced by a few abundant plant taxa. These results highlight the advantages of multi-taxon models for interpreting flow responses and developing effective environmental flow management strategies, because they can be used to summarize community responses, while preserving important taxon-specific information. In semi-arid systems, where river regulation and climate change have reduced the frequency of flood events, the ability to deliver environmental flows during protracted periods of drought may be a policy option to restore or maintain the natural floodplain vegetation assemblage and prevents the transition to dryland taxa
Original language | English |
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Publication status | Published - 2019 |
Event | Ecological Society of Australia - Launceston, Australia Duration: 24 Nov 2019 → 29 Nov 2019 https://www.esa2019.org.au/program/ |
Conference
Conference | Ecological Society of Australia |
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Country/Territory | Australia |
City | Launceston |
Period | 24/11/19 → 29/11/19 |
Internet address |