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Stream mesocosm experiment on benthic macroinvertebrate and algal communities 

Ver: 1
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Dataset Published: 2015-02-06
Dataset Last Modified: 2026-08-18
Metadata viewed 80 times
Dataset accessed 4 times
Metadata Created: 2022-09-26
Metadata Last Modified: 2026-08-19
How to cite this collection:
Davies, P. (2015). Stream mesocosm experiment on benthic macroinvertebrate and algal communities. Version 1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.4227/05/54D43B0CF12A1 
Data can be accessed from the following links:
HTTPDavies_mesocosm
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
The dataset consists of results from two stream mesocosm experiments that were conducted in the summer-autumn of 1996 and 1997 to distinguish the influence of fine sediment loads and nutrient concentrations on benthic macro-invertebrate and algal communities. 11 biological variables were extracted from the results of this experiment and were standardized for the purpose of training neural networks that could be used to diagnose nutrient and fine sediment impacts in field surveys. The 11 variables were selected according to how well they correlated with the experimental treatment levels (high and low values of both nutrients and fine sediments). The 11 variables were: chlorophyll a (mg/m2), macro-invertebrate familial richness, total abundance, and the abundance of Oligochaeta, Leptoperla varia (Gripopterygidae), Nousia spp. (Leptophlebiidae), Austrophlebioides spp. (Leptophlebiidae), Orthocladiinae, Tanypodinae, Tipulidae and larval Scirtidae. These taxa were abundant within and among the stream mesocosm communities and are common in a wide range of Tasmanian rivers. Values for each of 11 biological response variables were standardized by dividing by their average value observed in the experimental controls mesocosm samples from that year. See Magierowski RH, Read SM, Carter SJB, Warfe DM, Cook LS, Lefroy EC, et al. (2015) Inferring Landscape-Scale Land-Use Impacts on Rivers Using Data from Mesocosm Experiments and Artificial Neural Networks. PLoS ONE 10(3): e0120901. https://doi.org/10.1371/journal.pone.0120901 https://doi.org/10.1371/journal.pone.0120901. This data was collected for the purpose of training artificial neural networks that could diagnose nutrient and sediment impacts in Tasmanian rivers. Each of the 11 variables were standardized by their average value observed in the experimental control samples from that year and some experimental treatment effects (Light) were ignored to simplify the neural network training process. Therefore, these data should not be used to make conclusions about the impacts of fine sediments and nutrients in Tasmanian rivers. 
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. 
Purpose
The Freshwater Ecosystems Project is developing a suite of models to enable managers and planners to explore freshwater ecosystem responses to management interventions and climate change for the Tasmanian Midlands (with an emphasis on the impacts of intensifying agriculture) and the Australian Alps (with an emphasis on alpine and sub-alpine wetlands and bogs). Planners and managers will have the ability to explore responses of freshwater ecosystems to scenarios of management interventions and climate change.
The Landscapes and Policy Hub is a research collaboration that focuses on integrating ecology and social science to provide guidance for policy makers on planning and management of biodiversity at a regional scale. Focusing on two contrasting landscapes, the Tasmanian Midlands and the Australian Alps, the research hub is developing tools, techniques and policy options to integrate biodiversity into regional scale planning. The interdisciplinary research is placing particular emphasis on landscape-scale management of species and communities listed under the under Australia's primary conservation legislation: Environment Protection and Biodiversity Conservation Act 1999. This includes Matters of National Environment Significance like the Tasmanian Midlands Lowland Grasslands communities and the unique alpine wetlands in the Australian Alps. The research hub is hosted by the University of Tasmania and is one of five new national research hubs recently funded to study biodiversity conservation by the National Environmental Research Program (NERP) from 2011-2014.
 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Spatial Description
IBRA region: Tasmania South East Single location on the Little Dennison River, Tasmania. 
Temporal Coverage
From 1996-01-01 to 1997-05-01 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Australian Faunal Directory
Austrophlebioides
Leptoperla
Nousia
OLIGOCHAETA
ANZSRC - FOR
Freshwater ecology
Invertebrate biology
Data Stream
Flora Experimental Observations
GCMD Sciences
ANIMALS/INVERTEBRATES
ECOSYSTEMS - AQUATIC ECOSYSTEMS
ECOSYSTEMS - FRESHWATER ECOSYSTEMS
ENVIRONMENTAL GOVERNANCE/MANAGEMENT - ENVIRONMENTAL ASSESSMENTS
PLANTS - GREEN ALGAE
Horizontal Resolution
1 km - < 10 km or approximately .01 degree - < .09 degree
Parameters
chlorophyll a concentration
ringbark treatment count
Project
Others
Temporal Resolution
Subannual
Topic
biota
environment
User Defined
Ecosystem Assessment And Management (9605)
Land And Water Management (9609)
Author
Davies, Peter
Contact Point
Davies, Peter
Publisher
Terrestrial Ecosystem Research Network
Inferring Landscape-Scale Land-Use Impacts on Rivers Using Data from Mesocosm Experiments and Artificial Neural Networks
By Parent record
Biological and Physical Data from River Sites Across a Gradient of Catchment Area Under Grazing in Northern Tasmania
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
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The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/ 
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Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 

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