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Do ecosystem service maps and models meet stakeholders’ needs? A preliminary survey across sub-Saharan Africa

Do ecosystem service maps and models meet stakeholders’ needs? A preliminary survey across sub-Saharan Africa
Do ecosystem service maps and models meet stakeholders’ needs? A preliminary survey across sub-Saharan Africa
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 (>90%; n=60), 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.
africa, decision-maker, ecosystem service, policy-maker, science-policy interface
2212-0416
110-117
Willcock, Simon
89d9767e-8076-4b21-be9d-a964f5cc85d7
Hooftman, Danny
a15bea60-3fed-4531-ab83-df05105bbb64
Sitas, Nadia
a0505584-2a50-4dc0-bd91-3714741f881e
O’Farrell, Patrick
0db53888-869b-421d-9151-0f4ccef68694
Hudson, Malcolm D.
1ae18506-6f2a-48af-8c72-83ab28679f55
Reyers, Belinda
ff309d2d-6580-4e77-a07e-d0d1033098be
Eigenbrod, Felix
43efc6ae-b129-45a2-8a34-e489b5f05827
Bullock, James M.
1905d5ee-f9cd-4752-b0aa-5ae5662b35e9
Willcock, Simon
89d9767e-8076-4b21-be9d-a964f5cc85d7
Hooftman, Danny
a15bea60-3fed-4531-ab83-df05105bbb64
Sitas, Nadia
a0505584-2a50-4dc0-bd91-3714741f881e
O’Farrell, Patrick
0db53888-869b-421d-9151-0f4ccef68694
Hudson, Malcolm D.
1ae18506-6f2a-48af-8c72-83ab28679f55
Reyers, Belinda
ff309d2d-6580-4e77-a07e-d0d1033098be
Eigenbrod, Felix
43efc6ae-b129-45a2-8a34-e489b5f05827
Bullock, James M.
1905d5ee-f9cd-4752-b0aa-5ae5662b35e9

Willcock, Simon, Hooftman, Danny, Sitas, Nadia, O’Farrell, Patrick, Hudson, Malcolm D., Reyers, Belinda, Eigenbrod, Felix and Bullock, James M. (2016) Do ecosystem service maps and models meet stakeholders’ needs? A preliminary survey across sub-Saharan Africa. Ecosystem Services, 18, 110-117. (doi:10.1016/j.ecoser.2016.02.038).

Record type: Article

Abstract

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 (>90%; n=60), 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.

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More information

Accepted/In Press date: 28 February 2016
e-pub ahead of print date: 9 March 2016
Published date: April 2016
Keywords: africa, decision-maker, ecosystem service, policy-maker, science-policy interface
Organisations: Global Env Change & Earth Observation, Geography & Environment, Centre for Biological Sciences, Environmental, Faculty of Engineering and the Environment

Identifiers

Local EPrints ID: 389564
URI: https://eprints.soton.ac.uk/id/eprint/389564
ISSN: 2212-0416
PURE UUID: 44938571-ed06-43b4-b962-5f05537c3a7a
ORCID for Felix Eigenbrod: ORCID iD orcid.org/0000-0001-8982-824X

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Date deposited: 09 Mar 2016 11:33
Last modified: 03 Dec 2019 01:41

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Contributors

Author: Simon Willcock
Author: Danny Hooftman
Author: Nadia Sitas
Author: Patrick O’Farrell
Author: Belinda Reyers
Author: Felix Eigenbrod ORCID iD
Author: James M. Bullock

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