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Titlebook: Political Ecology; A Critical Engagemen Tor A. Benjaminsen,Hanne Svarstad Textbook 2021 The Editor(s) (if applicable) and The Author(s), un

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21#
發(fā)表于 2025-3-25 04:41:31 | 只看該作者
Climate Mitigation Choices: Reducing Deforestation in the Global South Versus Reducing Fossil Fuel Production at Home,as of ‘international cost-effectiveness’, some governments in the Global North aim to outsource climate mitigation to countries in the Global South. Typically, this happens through forest-based conservation under the label REDD. The chapter presents a case study of a Norwegian REDD project in Tanzan
22#
發(fā)表于 2025-3-25 09:44:03 | 只看該作者
23#
發(fā)表于 2025-3-25 12:47:05 | 只看該作者
Climate Change, Scarcity and Conflicts in the Sahel,frican Sahel. The narrative says that global climate change leads to drought and desertification, which result in resource scarcity causing migration and the emergence of new conflicts, or triggering existing, latent conflicts. This chapter first presents a critical assessment of the literature focu
24#
發(fā)表于 2025-3-25 17:43:50 | 只看該作者
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發(fā)表于 2025-3-25 22:40:36 | 只看該作者
Stocktake and Ways Forward,atural science when relevant. The key themes of power, justice and environmental sustainability run through all chapters. By using the example of Norway combined with cases from the South, the book illustrates how political ecologies in the Global North and South are interconnected. Political ecolog
26#
發(fā)表于 2025-3-26 04:09:55 | 只看該作者
Tor A. Benjaminsen,Hanne Svarstad it with Bayesian statistics.Each chapter includes exercises.This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book
27#
發(fā)表于 2025-3-26 07:52:45 | 只看該作者
28#
發(fā)表于 2025-3-26 10:55:04 | 只看該作者
29#
發(fā)表于 2025-3-26 13:28:41 | 只看該作者
Tor A. Benjaminsen,Hanne Svarstad it with Bayesian statistics.Each chapter includes exercises.This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book
30#
發(fā)表于 2025-3-26 19:41:31 | 只看該作者
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