Unintended consequences of climate change adaptation: African case studies and typologies on pitfalls and windfalls

被引:0
|
作者
van Zyl-Bulitta, Verena Helen [1 ]
Patt, Anthony [2 ]
Mudombi, Shakespear
Fabricius, Christo [3 ]
机构
[1] Univ Freiburg, Fac Environm & Nat Resources, Freiburg, Germany
[2] Swiss Fed Inst Technol, Dept Environm Syst Sci, Zurich, Switzerland
[3] Nelson Mandela Univ, Sustainabil Res Unit, George, South Africa
基金
新加坡国家研究基金会;
关键词
Adaptation; misfits due to maladaptation; resilience; social-ecological systems (SES) as complex adaptive systems (CAS); vulnerability;
D O I
10.1080/0376835X.2023.2254801
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
Climate change adaptation concerns mechanisms for responding to local climate change impacts to improve livelihoods of and decrease risks to affected stakeholders. In this article, we present evidence and novel insights from selected climate change adaption cases studies in Sub-Saharan Africa, shared directly by climate change practitioners. Our aim is to foster awareness and comprehension for local, national and transnational actors, enabling better decision-making, project implementation and policy design. To achieve this we describe and assess positive spillovers and negative externalities of climate change adaptation. Building on our collection of case studies, we focussed on classifying adaptation projects according to a set of typologies identified by the researchers. To further explain the typology classification related to the occurrence of (un)intended (side) effects, we identified factors that may enable sustainable adaptation scenarios based on lessons shared about the investigated projects. These systems are based on existing political economic research on the state-of-the-art '4E'- method (representing enclosure, exclusion, encroachment, entrenchment) evident in the literature and case study applications, which we adapted to fit our research questions. The factors include collaboration across scales, data availability and learning, bottom-up involvement/participation. We also formulated the positive counterpart of each of the four E dimensions. One finding was that the category lose-win, where the intended goal was not achieved, yet a positive spillover occurred, would be more likely to emerge with the factors 'bottom-up participation' as well as 'learning across scales' being present.
引用
收藏
页码:130 / 163
页数:34
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