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Moolman J, Kleynhans CJ and Thirion C (2002) Channel Slopes in the Olifants, Crocodile and Sabie River Catchments. Department of Water Affairs and Forestry, Institute For Water Quality Studies, Internal Report No.N/0000/00REH/0102. 41pp

Rowntree KM and Wadeson RA (1999) A hierarchical geomorphological model for the classification of selected South African Rivers. Water Research Commission Report No. 497/1/99, Water Research Commission, Pretoria. 334pp.</ows:Abstract>
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      <ows:Abstract>Data from the South African Protected Areas Database (SAPAD) available at https://egis.environment.gov.za. 

According to the National Environmental Management: Protected Areas Act (Act 57 of 2003), The Minister must maintain a register called the Register of Protected Areas.

A Register of Protected Areas was therefore developed for reporting and mapping purposes of PROTECTED AREAS and CONSERVATION AREAS in South Africa.

This Register used a database called the Protected and Conservation Areas database (PACA) and comprises of all data required for the Register of Protected Areas (legally declared) as well as data on Conservation Areas (areas responsibly managed for biodiversity conservation but not legally declared as Protected Areas).</ows:Abstract>
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The data can be downloaded from http://glass.umd.edu/KGClim/

Cui, D., Liang, S., Wang, D., and Liu, Z.: A 1 km global dataset of historical (1979–2013) and future (2020–2100) Köppen–Geiger climate classification and bioclimatic variables, Earth Syst. Sci. Data, 13, 5087–5114, https://doi.org/10.5194/essd-13-5087-2021, 2021.</ows:Abstract>
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      <ows:Abstract>Data from the South African Conservation Areas Database (SACAD) available at https://egis.environment.gov.za. 

According to the National Environmental Management: Protected Areas Act (Act 57 of 2003), The Minister must maintain a register called the Register of Protected Areas.

A Register of Protected Areas was therefore developed for reporting and mapping purposes of PROTECTED AREAS and CONSERVATION AREAS in South Africa.

This Register used a database called the Protected and Conservation Areas database (PACA) and comprises of all data required for the Register of Protected Areas (legally declared) as well as data on Conservation Areas (areas responsibly managed for biodiversity conservation but not legally declared as Protected Areas).</ows:Abstract>
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      <ows:Abstract>FEPA: River FEPAs and their associated quinary catchments achieve biodiversity targets for river ecosystems and threatened fish species, and were identified in rivers that are currently in a good condition (A or B ecological category). The FEPA status applies to the river reach itself, and indicates that the river should remain in a good condition in order to contribute to national biodiversity goals and support sustainable use of water resources.  
FishCorrid: Quinary catchments containing rivers that form migration corridors for threatened fish species, as part of the fish sanctuary network. 
FishFSA: Fish Support Areas are quinary catchments identified as necessary as fish sanctuaries, fish translocation or fish relocation zones that are not in good condition (i.e. A or B ecological category).
Phase2FEPA: These were identified in moderately modified rivers (C ecological category), only in cases where it was not possible to meet biodiversity targets for river ecosystems in rivers that were still in good condition (A or B ecological category). The condition of these Phase 2 FEPAs should not be degraded further, and should be rehabilitated to a better condition.
Upstream FEPAs: Upstream management catchment required to prevent the downstream degradation of FEPAs and FishFSAs.

Source reference: Nel, J.L., Murray, K.M., Maherry, A.M., Petersen, C.P., Roux, D.J., Driver, A., Hill, L., Van Deventer, H., Funke, N., Swartz, E.R., Smith-Adao, L.B., Mbona, N., Downsborough, L. and Nienaber, S. (2011). Technical Report for the National Freshwater Ecosystem Priority Areas project. WRC Report No. K5/1801.</ows:Abstract>
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The data can be downloaded from http://glass.umd.edu/KGClim/

Cui, D., Liang, S., Wang, D., and Liu, Z.: A 1 km global dataset of historical (1979–2013) and future (2020–2100) Köppen–Geiger climate classification and bioclimatic variables, Earth Syst. Sci. Data, 13, 5087–5114, https://doi.org/10.5194/essd-13-5087-2021, 2021.</ows:Abstract>
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      <ows:Abstract>In the classification hierarchy for the terrestrial realm, there exists a classification level that falls between Biome and ecosystem type, known as the Bioregion. Bioregions consider dominant landscape scale attributes and biological data, while also applying the principle of interconnectedness sometimes driven by management boundaries. The concept of a Bioregion acknowledges that a region should not consist of widely dispersed areas but rather share a common boundary, promoting a sense of cohesion. Additionally, each Bioregion should exhibit a coherent climatic profile. The classification of Bioregions relies heavily on the identification of distinct vegetation types. These vegetation types are characterized by unique assemblages of plant species. 
This definition of the Bioregion was established by Rutherford et. al in 2006. However, it is important to note that the boundaries of Bioregions have undergone revisions with the updated versions of the map. These revisions reflect a better understanding of the ecological dynamics and interconnectedness within different regions, resulting in more accurate and refined classifications.

Reference: Rutherford, M.C., Mucina, L. &amp; Powrie, L.W. 2006. Biomes and bioregions of Southern Africa. In: Mucina, L. &amp; Rutherford, M.C. (eds), The vegetation of South Africa, Lesotho and Swaziland: 30-51. SANBI, Pretoria.</ows:Abstract>
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      <ows:Abstract>The artificial waterbodies layer was part of the South African Inventory of Inland Aquatic Ecosystems (SAIIAE) released with the launch of the NBA 2018. As part of the development of the national wetland map a dataset of artificial water bodies was built using the DRDLR:NGI hydrological features exported from NWM5.2. All non-natural feature types were included in this feature class and were checked for consistency and then integrated by Dr Andrew Skowno (SANBI) with the national 1:50 000 dams map. Dr Heidi van Deventer subsequently added and cleaned the dataset.

Reference: Van Deventer, H.; Smith-Adao, L.; Mbona, N.; Petersen, C.; Skowno, A.; Collins, N.B.; Grenfell, M.; Job, N.; Lötter, M.; Ollis, D.; Scherman, P.; Sieben, E.; Snaddon, K. 2018. South African Inventory of Inland Aquatic Ecosystems. South African National Biodiversity Institute, Pretoria. Report Number: CSIR report number CSIR/NRE/ECOS/IR/2018/0001/A; SANBI report number http://hdl.handle.net/20.500.12143/5847.</ows:Abstract>
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