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评估肯尼亚塔纳河上游流域可持续土地管理投资。

Valuing investments in sustainable land management in the Upper Tana River basin, Kenya.

机构信息

Natural Capital Project, Stanford University, 371 Serra Mall, Stanford, CA, 94305, USA.

Natural Capital Project, Stanford University, 371 Serra Mall, Stanford, CA, 94305, USA.

出版信息

J Environ Manage. 2017 Jun 15;195(Pt 1):78-91. doi: 10.1016/j.jenvman.2016.10.013. Epub 2016 Nov 1.

DOI:10.1016/j.jenvman.2016.10.013
PMID:27815005
Abstract

We analyze the impacts of investments in sustainable land use practices on ecosystem services in the Upper Tana basin, Kenya. This work supports implementation of the Upper Tana-Nairobi Water Fund, a public-private partnership to safeguard ecosystem service provision and food security. We apply an integrated modelling framework, building on local knowledge and previous field- and model-based studies, to link biophysical landscape changes at high temporal and spatial resolution to economic benefits for key actors in the basin. The primary contribution of this study is that it a) presents a comprehensive analysis for targeting interventions that takes into account stakeholder preferences, local environmental and socio-economic conditions, b) relies on detailed, process-based, biophysical models to demonstrate the biophysical return on those investments for a practical, decision-driven case, and c) in close collaboration with downstream water users, links those biophysical outputs to monetary metrics, including: reduced water treatment costs, increased hydropower production, and crop yield benefits for agricultural producers in the conservation area. This study highlights the benefits and trade-offs that come with conducting participatory research as part of a stakeholder engagement process: while results are more likely to be decision-relevant within the local context, navigating stakeholder expectations and data limitations present ongoing challenges.

摘要

我们分析了在肯尼亚塔纳河上游流域投资可持续土地利用实践对生态系统服务的影响。这项工作为塔纳河-内罗毕水资源基金的实施提供了支持,该基金是公私合作伙伴关系,旨在保障生态系统服务提供和粮食安全。我们应用了一个综合模型框架,基于当地知识和以前的实地及模型研究,将高时空分辨率的生物物理景观变化与流域内主要参与者的经济利益联系起来。这项研究的主要贡献在于:a)提出了一项全面的干预措施分析,考虑到利益相关者的偏好、当地环境和社会经济条件;b)依靠详细的、基于过程的生物物理模型,为实际的决策驱动案例展示了这些投资的生物物理回报;c)与下游用水户密切合作,将这些生物物理产出与货币指标联系起来,包括:降低水疗成本、增加水电生产和保护区域内农业生产者的作物产量收益。本研究强调了参与式研究作为利益相关者参与过程的一部分所带来的好处和权衡:虽然结果在当地背景下更有可能具有决策相关性,但利益相关者期望和数据限制的管理仍然是持续存在的挑战。

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