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The National Vegetation Survey Databank (NVS) and LUCAS Susan Wiser Landcare Research Lincoln, New Zealand MoRST Data Sharing Workshop 25 March 2009

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Presentation on theme: "The National Vegetation Survey Databank (NVS) and LUCAS Susan Wiser Landcare Research Lincoln, New Zealand MoRST Data Sharing Workshop 25 March 2009"— Presentation transcript:

1 The National Vegetation Survey Databank (NVS) and LUCAS Susan Wiser Landcare Research Lincoln, New Zealand MoRST Data Sharing Workshop 25 March 2009 http://nvs.landcareresearch.co.nz/

2 >19 000 permanent plots >77 000 Relevés

3 Formulation: Evolution of NVS 1960s Standardised methods for inventory and monitoring of native vegetation developed Late 1960s Beginning of electronic data capture Late 1980s Process for centrally archiving electronic and hard copy data formalised 1998 Nationally Significant database status accorded by FRST 2001 NVS moved from outdated platform to relational database 2003 Formal assessment of end-user needs

4 Strand 1: Anticipating and meeting enduser needs >10,000 new plot records since June 2005 1-2 requests per week Support for standardised data collection Protocols for data use

5 Strand 2: State-of-the-art data management

6 Strand 3: Leadership in synthesis and integration: Integrated with NZ standard taxonomic names database

7 Geographic standards allow ready integration with spatial layers to show species distributions

8 ...and to allow ready integration with spatial layers

9 Historic relationship between NVS and LUCAS Original 1990 baseline based on forest data archived in NVS Variance in C estimates at different grid densities guided plot network density Plot protocols extended Forest Service 20 x 20 protocol 16% of plots in LUCAS natural forests network predated the network; data archived in NVS LUCAS holds copy of historic data from pre-existing plots Paper and electronic copies of all above-ground data from LUCAS plot network archived in NVS LUCAS

10 Why is LUCAS data archived in NVS? Provide a conduit for discovery and usage of LUCAS data by a wider range of endusers One query against both databases more efficient for endusers Continuity for remeasurement of LUCAS plots in pre- existing networks Formats compatible with NVS-specific analytical software and other packages LUCAS Endusers

11 How this works: archiving data LUCAS 1.Tables/fields mapped onto NVS tables/fields 2.Validation checks LUCAS 4. Validation queries 3. Recent corrections added

12 Endusers How this works: data requests Request data Inform of permission required LUCAS Private Landowners Obtain permission Provide permissions Provide data

13 Where to from here? Further work on versioning Move towards using an exchange standard and distributed databases

14 Where to from here: use of an exchange standard Veg-X exchange standard http://wiki.tdwg.org/twiki/bin/view/Vegetation/WebHome LUCAS WRITE READ WRITE Endusers


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