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 (1–10km2) 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.

Highlights

  • An understanding of ecosystem services is critical for decision-making if multifunctional landscapes are to be successfully managed to maximise long-term benefits for society (Carpenter et al, 2009; Millennium Ecosystem Assessment, 2005)

  • The online survey was circulated by email to other stakeholders from subSaharan Africa who are engaged in projects in the Ecosystem Services for Poverty Alleviation research programmme

  • This study provides evidence that stakeholders within subSaharan Africa are actively engaging with ecosystem service (ES) research and using the information to support policy development, with information on provisioning and regulating services being in greatest demand

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Summary

Introduction

An understanding of ecosystem services (the benefits humans get from nature; ES) is critical for decision-making if multifunctional landscapes are to be successfully managed to maximise long-term benefits for society (Carpenter et al, 2009; Millennium Ecosystem Assessment, 2005). Some governments (e.g. China), development agencies (e.g. the World Bank), non-governmental organisations (NGOs; e.g. Conservation International) and businesses (e.g. Unilever) have made substantial efforts to incorporate ES into their missions and practices (Ruckelshaus et al, 2013; Wong et al, 2014). This relatively rapid uptake into policies and management may indicate that ES science has a high potential to alter decision-making practices, leading to more ecologically sound decisions.

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