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
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生态系统服务地图和模型是否满足利益相关者的需求?

DOI:
10.1016/j.ecoser.2016.02.038
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发表时间:
2016
期刊:
影响因子:
7.6
通讯作者:
Willcock S
Willcock S
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Willcock S

文献摘要

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为实现可持续发展目标,必须将生态系统服务信息纳入决策过程。然而,很少有人知道ES信息用户的需求和研究人员社区提供的数据之间的对应关系。我们调查了撒哈拉以南非洲的利益相关者,使用有针对性的抽样策略确定他们的ES数据要求。在使用环境统计信息的受访者中(>90%; n=60),27%的受访者报告有足够的数据;其余的受访者需要额外的数据-特别是在更高的空间分辨率和多个时间点。大多数受访者关注供应和监管服务,特别是食品和淡水供应(均为58%)和气候监管(49%)。其重点一般在国家一级或以下,并根据数据的可得性。在接受调查的利益攸关方中,我们对17名技术专家进行了后续评估。技术专家一致认为,ES模型必须能够纳入场景,大多数人认为ES模型应该至少有90%的准确性。然而,相对粗糙的分辨率(1-10平方公里)的模型是足够的许多服务。为了最大限度地发挥未来研究的影响,必须在能力建设的同时提供关于环境服务的动态、多尺度数据集。
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.