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Assessing the predictability of future livelihood strategies of pastoralists in semi-arid Morocco under climate change
Authors:Korbinian P Freier  Rainer Bruggemann  Jürgen Scheffran  Manfred Finckh  Uwe A Schneider
Institution:1. International Max Planck Research School on Earth System Modeling (IMPRS-ESM), Bundesstr. 53, D-20146 Hamburg, Germany;2. Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, D-12587 Berlin, Germany;3. Research Group Climate Change and Security, Institute for Geography and KlimaCampus, Hamburg University, ZMAW, Bundesstrasse 53, D-20146 Hamburg, Germany;4. Biocentre Klein Flottbek and Botanical Garden, University of Hamburg, Ohnhorststr. 18, D-22609 Hamburg, Germany;5. Research Unit Sustainability and Global Change, Center for Marine and Atmospheric Research, Hamburg University, Bundesstr. 55, D-20146 Hamburg, Germany
Abstract:This study assesses the predictability of future livelihood strategies of transhumant pastoralists in semi-arid Morocco. A decrease in precipitation due to climate change will likely threaten their traditional livelihood strategy. We examine whether the pastoralists explicitly prefer certain alternative strategies or if their reactions will be contingent. Our analysis uses standardized interviews focussing on two aspects: firstly, which resources are necessary for the pastoralists to be able to choose a livelihood strategy? Secondly, to what degree are expectations of well-being satisfied by alternative strategies? To assign levels of predictability to all investigated strategies, we analyze the interviews using simple methods of partial order theory. We find that under perceived precipitation scarcity, 38% of pastoralists would explicitly opt for sedentarity and localized pastoralism as alternative strategy. Unclear preferences are given for 25% of the cases. Considering a policy scenario of enhanced access to education and capital, our analysis indicates commercial pastoralism as dominant alternative. However, such a scenario would increase the share of unclear preferences to 43%, which increases the likelihood of a contingent development. The method we propose can be considered as a mathematical basis for the concept of historical contingency.
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