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Database Title |
14.3 National Water Quality Network- Invertebrates |
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| Keywords Type1. Type 11. |
Freshwater; invertebrates; water quality Periphyton |
| Abstract | This is New Zealand's largest macroinvertebrate database. It provides biological information to supplement water quality data collected in the National River Water Quality Network. |
| Geographical Coverage | New Zealand |
| Dataset start date. | 1989 |
| Dataset end date. | Current |
| Status/currency. | In progress |
| Update frequency. | Annual |
| Maintenance. | Funded through NIWA's PGSF-funded programme "Nationally Significant Database: Water Resources and Climate". |
Technical Evaluation |
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| Parameters- what is measured |
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| Parameters- what is calculated | Stored as raw data. |
| Methods used to measure parameters | Sites sampled annually between months of January and April under baseflow conditions and not less than four weeks after a bed-scouring flood. Seven 0.1m2 Surber samples (0.25mm mesh) taken within defined habitats. Depth, velocity, substrate and algal characteristics are estimated at each sampling point. Invertebrates are preserved in 70% IPA and sorted in the laboratory, with identification to lowest practicable taxonomic levels. |
| Secondary sources of data | N/A |
| Scale of use. | N/A |
| Number of records | 66 sites x 12years. Invertebrate taxa list 200+ species. |
| GIS compatibility. | Sites are at or close to the water quality network sites. This is not always possible because some of the water quality sampling sites are unsuitable for macroinvertebrate sampling. |
| Available formats for users. | Excel spreadsheet. Likely to be translated to an access database. |
| Access constraints. | There are some conditions of access depending on proposed used of data. |
| Measurement Accuracy | Unknown. Sampling errors reduced by staff training. Data checked after entry. |
| Completeness of dataset | Approx 30 gaps as a result of adverse flow conditions during sampling period. |
| Positional accuracy | Sampling sites may vary slightly from year to year as river channels change (within 50-100m). |
| Database steward | NIWA |
| Database custodian | NIWA |
| Database custodian contact person | Mike Scarsbrook |
| Database custodian Contact Address Phone Fax |
P.O. Box 11 115 Hamilton +64 7 856 1775 +64 7 856 0151 m.scarsbrook@niwa.cri.nz |
| References | Scarsbrook et al. (2000). New Zealand's National River Water Quality Network: long term trends in macroinvertebrate communities. New Zealand Journal of Marine and Freshwater Research 34(2): 289-302. |
| Date metadata record prepared. | October 1999, updated 2001 |
| Author of metadata record. | Victoria Froude |
Management Evaluation |
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| Original purpose. | To monitor long-term trends in water quality and to develop a better understanding of the nation's water resources so as to assist with their management. |
| Relationships with classification systems. | Site/Year. Taxonomic. |
| Relationships with other databases | Part of the "nationally significant" Water Resources Archive, and a major component of the New Zealand Water Quality Network. |
| Known relationships with proposed EPIP indicators. | Macroinvertebrates in rivers. |
| Who uses this database? |
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| Public awareness of the database | Low level of funding for conversion of data into information. |
| Database strengths. |
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| Database limitations. | Lack of funding to convert data into information. |
What are the Current and Emerging Uses of the Database for: |
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| Assisting with determining historic state/baseline. | The use of baseline sites can assist with determining historic state. |
| Assisting with determining current state/baseline. | The database is able to provide information about the current state and trends in macroinvertebrate community structure in a selection of the nation's rivers. |
| Assisting with modeling possible future outcomes. | The database is being used to identify relationships between benthic biota and various hydrological parameters in New Zealand rivers and streams. |
| Risk assessment. | The trends shown by the data may identify at risk locations. |
| Monitoring site selection and sample design. | Refer to National River Water Quality Network Database. |
| Aggregating and reporting data locally, regionally or nationally. | Trends can be reported by location, by region or nationally. |