Final ESR - Part 2 - Eskom
Final ESR - Part 2 - Eskom
Final ESR - Part 2 - Eskom
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REVISED FINAL ENVIRONMENTAL SCOPING REPORT FOR THE PROPOSED COMBINED CYCLE GAS<br />
TURBINE (CCGT) POWER PLANT IN THE AMERSFOORT AREA, MPUMALANGA PROVINCE<br />
7.6 Biodiversity<br />
7.6.1 Introduction<br />
Bathusi Environmental Consulting has been appointed, on behalf of Bohlweki-SSI<br />
Environmental (Pty) Ltd to conduct a biodiversity screening assessment for the proposed<br />
construction of the CCGT power plant and associated infrastructure in the Amersfoort area.<br />
The biodiversity screening assessment aims to provide a broad description of ecological<br />
attributes of the study area that could potentially be affected by the proposed construction of<br />
the CCGT plant and associated infrastructure.<br />
7.6.2 Methodology<br />
• Habitat Diversity & Variations<br />
The vegetation assessment is based on a variation of the Braun-Blanquet method whereby<br />
vegetation is stratified on aerial images with physiognomic 2 characteristics as a first<br />
approximation. These initial stratifications will be surveyed for floristic and environmental<br />
diversity during the EIA investigation and subjected to a desktop analysis to establish<br />
differences/ similarities between observed units.<br />
A site survey was conducted on the 6 th June 2008 and cognisance was taken of the following<br />
environmental attributes and general information:<br />
∗ biophysical environment, i.e. geology, land type units, topography, etc that is generally<br />
accepted to be driving forces behind vegetation development; including:<br />
− slope;<br />
− aspect;<br />
− topography; and<br />
− rockiness<br />
∗ holistic/ regional vegetation;<br />
∗ the current status of available habitat forms;<br />
∗ Red Data habitat suitability; and<br />
∗ Sensitive ecological areas (outcrops, riparian fringes, non-perennial streams, river, etc.).<br />
• Red Data Probabilities<br />
Baseline PRECIS data obtained from SANBI was utilised to compile a list of Red Data flora<br />
species that could potentially occur within the study area.<br />
Three parameters were used to assess the Probability of Occurrence for Red Data species:<br />
2 Physiognomy refers to the visual appearance of vegetation in terms of different growth classes,<br />
biomass, height, etc.<br />
POTENTIAL IMPACTS ON THE BIOPHYSICAL<br />
ENVIRONMENT<br />
69<br />
11/08/2008