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Archived National Wetland Types

This layer maps the distribution of wetlands and their types

Simple

Date (Publication)
2010
Edition

1.0

Purpose

This data is developed for improving conservation plans and prioritization for biodiversity purposes of wetlands, natural water features, artificial water features including dams. Developed under National Freshwater Ecosystem Priority Areas a national wetland conservation planning.

Status
On going
Custodian
  SANBI - Namhla Mbona ( Project Manager National wetland inventory )
2 Cussonia Avenue, Brumeria , Pretoria , 0186 , South Africa
0128435200
Maintenance and update frequency
As needed
Theme
  • wetlands

Place
  • South Africa

  • Pretoria

Keywords
Access constraints
Copyright
Use constraints
otherRestictions
Other constraints

SANBI

Spatial representation type
Vector
Denominator
50000
Language
English
Character set
UTF8
Topic category
  • Environment
Begin date
2016-01-01
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Reference system identifier
WGS 1984

Distributor

Distributor
  SANBI
Name

ZIP

Version

1

OnLine resource
A list of services published are available at this URL. ( WWW:LINK-1.0-http--link )

BGIS Map Services

OnLine resource
A list of spatial data-sets are available at this URL. ( WWW:LINK-1.0-http--related )

BGIS Spatial Datasets

Hierarchy level
Dataset
Statement

Citation: Van Deventer et al. 2010. Using landscape data to classify wetlands for country-wide conservation planning. In press.


National Freshwater Ecosystems Priority Areas (NFEPA) Wetland Types for South Africa


The final (September 2009) version of the National Wetland Classification System (NWCS) has been adopted for the NFEPA and NSBA 2010 projects, and preliminary automation of the classification system has been undertaken (up to Level 4A) for the

NFEPA project, using i.a. the Riversdale Plain area that was mapped as part of the C.A.P.E. Fine-scale Planning as a test case. The approach that was taken builds on that followed by Amis (2009) but rather than applying the TPI approach, the landform tool (part of the Topography Tools for ArcGIS 9.3 Suite written by Thomas Dilts, 2009, available from http://arcscripts.esri.com) was used to distinguish between different broad-scale landforms at a national scale. TPI's allow the setting of only one neighborhood size, which is problematic in assessing the regional context of individual landforms. The landform tool used in the preliminary automation for the

NFEPA project allows for the setting of a local and regional neighborhood sizes or search distances, which enables an improved assessment of the landscape setting of wetlands. In order to take the topographic variability of the country into account in assigning landform classes, different 'local neighborhood thresholds' were used for each of the Geomorphic Provinces in the country (after Partridge et al. 2009), based on the maximum valley width for the Geomorphic Province plus 1 km in each case.


The 'regional neighborhood threshold' was based on the width between tertiary catchment interfluves plus 1 km. The ten default landform classes that the landform tool generates were then each translated into one of the four Landscape Units at Level 3 of the NWCS (Table 1).


Table 1: Translation between the ten landform classes generated by the GIS "landform tool" and the four Landscape Unit categories at Level 3 of the NWCS, as used in the preliminary automation of the classification system undertaken for the NFEPA project [taken from Van Deventer et al., 2009] Landform class NWCS Level 3A HGM Type


1. Canyons, deeply incised streams - Valley floor

2. Midslope drainages, shallow valleys - Slope

3. Upland drainages, headwaters - Slope

4. U-shaped valleys - Slope 5. Plains - Plain

6. Open slopes - Slope

7. Upper slopes - Slope

8. Local ridges / hills in valleys - Bench

9. Midslope ridges, small hills in plains - Slope

10. Mountain tops, high ridges - Bench


For the automation of wetland classification to Level 4A according to the NWCS for the NFEPA project, ancillary data was used to classify the wetlands.


An initial assessment of the accuracy of the resulting wetland classification was undertaken in a workshop using C.A.P.E. Fine-scale Planning wetland types and expert knowledge. Preliminary results from this assessment suggest that, while there were some discrepancies (as expected), there was generally a satisfactory level of agreement between the automated and manual (desktop-based) classifications of wetlands, particularly if it is considered at a national scale as a guideline or framework. Discrepancies need to be investigated in the field, because in some instances they may be a result of the automated classification providing a better depiction of reality than what the C.A.P.E. Fine-scale Planning Project could glean from aerial photographs and satellite imagery.


SANBI (2009). Further Development of a Proposed National Wetland Classification System for South Africa. Primary Project Report. Prepared by the Freshwater Consulting Group (FCG) for the South African National Biodiversity Institute (SANBI).


Citation: Van Deventer et al. 2010. Using landscape data to classify wetlands for country-wide conservation planning. In press.


Available documentation: On NFEPA report

File identifier
ef107065-aaa8-4e7d-895c-dc278a26a1f6 XML
Metadata language
English
Character set
UTF8
Date stamp
2017-07-03T09:28:22
Metadata standard name

SANS 1878

Metadata standard version

FGDC-STD-001-1998

Distributor
  SANBI - ( The Metadata Manager )
Kirstenbosch Research Centre , Cape Town , Claremont , 7735 , South Africa
+27 21 799 8738
 
 

Overviews

Spatial extent

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Keywords

wetlands

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