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1 Bohensky, E.; Reyers, B.; van Jaarsveld, A.; Fabricius, C. (Eds.) 2004. Ecosystem services in the Gariep Basin: a contribution to the millennium ecosystem assessment. Stellenbosch, South Africa: Stellenbosch University. African SUN Media. SUN Press. 152p.

Ecosystem services ; Assessment ; Water supply ; Groundwater ; Freshwater ; Water quality ; Food production ; Cereals ; Livestock ; Energy sources ; Energy demand ; Mineral resources ; Biodiversity conservation ; Species ; Land use ; Technology ; Socioeconomic environment ; Living standards ; Urbanization ; Air quality ; Cultural factors ; Economic policy ; Corporate culture ; Decision making ; Legal aspects / South Africa / Gariep Basin / Gauteng

(Location: IWMI HQ Call no: 577 G178 BOH Record No: H047357)

http://www.millenniumassessment.org/documents_sga/SAfMA_Gariep_Basin_non-printable.pdf
https://vlibrary.iwmi.org/pdf/H047357.pdf

(7.80 MB) (7.80 MB)

2 Willcock, S.; Hooftman, D.; Sitas, N.; O’Farrell, P.; Hudson, M. D.; Reyers, B.; Eigenbrod, F.; Bullock, J. M. 2016. Do ecosystem service maps and models meet stakeholders’ needs? a preliminary survey across sub-Saharan Africa. Ecosystem Services, 18:110-117. [doi: https://doi.org/10.1016/j.ecoser.2016.02.038]

Ecosystem services ; Decision making ; Policy making ; Stakeholders ; Information needs ; Maps ; Models ; Surveys ; Research workers / Africa South of Sahara

(Location: IWMI HQ Call no: e-copy only Record No: H047969)

http://www.sciencedirect.com/science/article/pii/S2212041616300602/pdfft?md5=0edf4c8f5642c2d409eb802bc4c0d54f&pid=1-s2.0-S2212041616300602-main.pdf
https://vlibrary.iwmi.org/pdf/H047969.pdf

(1.08 MB) (1.08 MB)

To achieve sustainability goals, it is important to incorporate ecosystem service (ES) information into decision-making processes. However, little is known about the correspondence between the needs of ES information users and the data provided by the researcher community. We surveyed stakeholders within sub-Saharan Africa, determining their ES data requirements using a targeted sampling strategy. Of those respondents utilising ES information (490%; n¼60), 27% report having sufficient data; with the remainder requiring additional data – particularly at higher spatial resolutions and at multiple points in time. The majority of respondents focus on provisioning and regulating services, particularly food and fresh water supply (both 58%) and climate regulation (49%). Their focus is generally at national scales or below and in accordance with data availability. Among the stakeholders surveyed, we performed a follow-up assessment for a sub-sample of 17 technical experts. The technical experts are unanimous that ES models must be able to incorporate scenarios, and most agree that ES models should be at least 90% accurate. However, relatively coarse-resolution (1–10 km2 ) models are sufficient for many services. To maximise the impact of future research, dynamic, multi-scale datasets on ES must be delivered alongside capacity-building efforts.