This paper sets out why land expropriation is a hidden danger of the response to climate change; a danger that is not adequately captured in legislation and that risks disproportionately affecting the poor. Measures to mitigate the risks and impacts of climate change are often dependent on states’ access to land.
The Amazon has a diverse array of social and environmental initiatives that adopt forest-based land-use practices to promote rural development and support local livelihoods. However, they are often insufficiently recognized as transformative pathways to sustainability and the factors that explain their success remain understudied.
Unequal exchange theory posits that economic growth in the “advanced economies” of the global North relies on a large net appropriation of resources and labour from the global South, extracted through price differentials in international trade. Past attempts to estimate the scale and value of this drain have faced a number of conceptual and empirical limitations, and have been unable to capture the upstream resources and labour embodied in traded goods.
Natural disasters and pandemics are evolving as major global threats that are posing an enormous challenge to socio- economic and environmental wellbeing. Using a real time analysis of the impressive role played by Community Forest User Groups (CFUGs) in Nepal in responding to the 2015 earthquakes (Earthquake-15) and COVID-19, this paper explores the scopes, capacities, institutional strengths and attributes required for community-based institutions such as CFUGs to become effective in managing and responding natural or other disasters.
Land degradation is a widespread crisis, destabilizing nations and communities on a global scale. To be clear, food will be less plentiful (and thus more expensive) unless responsible land management and res- toration is given priority on the international political agenda. The commitment to halt and reverse land degradation will undoubtedly feature prominently in post-2015 development and climate agendas.
This study determined pre-conflict, conflict and post-conflict land use change and analysed the impact of armed conflict on the intensity of land use change in northern Nimba County. Landsat images of 1986, 1990, 2002 and 2016 were classif
One of the main components of Indonesia's Just Economy policy is extensive and rapid land reform, which targets about 12% of the country's land area for redistribution to farmers and communities by 2019. Much of the reform is occurring on forest land. At the same time, the country has pledged a significant reduction of its greenhouse gas emissions by 2030, two thirds of which is to be achieved from forests. Hence agrarian reform potentially conflicts with emission reduction commitments.
Over the past two decades, “illegal” natural resource extraction has become a significant driver of environmental change and social conflict across the Global South. In response, numerous Sub-Saharan African states have engaged in governance reforms that heed calls to securitize – or, establish and consolidate state control over – natural resources. In Ghana, securitization has served to entrench the informal economy as domestic producers, marginalized in the process of reform, continue to utilize non-state institutions to maintain access.
This article draws on actor network theory (ANT) and assemblage to interrogate the potential future manifestation of open conflicts due to unresolved latent local socio-economic and political grievances associated with oil exploitation near fishing communities and the implications of oil-related environmental degradation on local livelihoods in the Western Region of Ghana.
Sudden and gradual land use changes can result in different socio-ecological systems, sometimes referred to as regime shifts. The Lao PDR (Laos) has been reported to show early signs of such regime shifts in land systems with potentially major socio-ecological implications. However, given the complex mosaic of different land systems, including shifting cultivation, such changes are not easily assessed using traditional land cover data. Moreover, regime shifts in land systems are difficult to simulate with traditional land cover modelling approaches.
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