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IOS-Fair Transitions-LANDac International Conference 2023

27 June 2023 - 29 June 2023
Utrecht City Centre
Drift 25
Utrecht
Netherlands

We are happy to announce the joint IOS-Fair Transitions-LANDac International Conference at the crossroads of the fair transitions and land governance debates in the context of climate change. The conference is structured around the joint challenge of finding ways to make transitions fair and inclusive, for human and non-human life.

IOS Fair Transitions
LANDac

Call for proposals: Supporting uses of GDB data to advance the knowledge on data for public good

07 February 2023
This call for proposals is aimed to develop and support innovative research and/or data use activities that focus on improving governance, inclusiveness, and the impact of data for development in the Global South based on the work done by, and the data collected by, the Global Data Barometer.

Beekeeping revives forests, land in Zimbabwe

03 February 2023
From Zimbabwe, Nhau Mangirazi tells the story of how beekeeping revives forest in the Hurungwe district, published by The Standard. Apiculture not only preserves the forest from tobacco farming – the main cause of deforestation in the area – and serves as a bio-fence acting as a buffer zone between humans and wild animals, it also brings an extra source of income to the locals, many of the beneficiaries women. 

From Japan to Brazil: Reforesting the Amazon with the Miyawaki method

03 February 2023
Reforestation using the Miyawaki method seeks to restore nature to its original state with results that can be seen in around six years. Miyawaki works around three concepts: trees should be native, several species should be randomly planted, and the materials for the seedlings and the soil should be organic. The method is suitable for urban areas, which gives it a significant capacity to connect human beings with nature, with benefits for the health and well-being of the population. Different from other reforestation methods that may seek a financial return, like agroforestry, the motivation of the Miyawaki method is purely ecological.
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