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Showing items 1 through 9 of 162.
  1. Library Resource
    Policy Papers & Briefs
    December, 2005
    Laos, South-Eastern Asia

    This issue of Water Policy Briefing is based on research presented in When ?Conservation? Leads to Land Degradation: Lessons from Ban Lak Sip, Laos (IWMI Research Report 91) by Guillaume Lestrelin, Mark Giordano and Bounmy Keohavong. The research was carried out by the Managing Soil Erosion Consortium (MSEC)?a multi-country collaborative effort to better understand land degradation, and potential solutions, in upland areas of Southeast Asia. MSEC is coordinated by IWMI with substantial contributions from France?s Institute of Research for Development (IRD).

  2. Library Resource
    Training Resources & Tools
    Policy Papers & Briefs
    November, 2011
    India, Colombia, South America, South-Eastern Asia

    Climate change is increasingly being recognised as a global crisis, but responses to it have so far been overly focused on scientific and economic solutions. How then do we move towards morepeople-centred, gender-aware climate change policies and processes? How do we respond to the different needs and concerns of women and men, and also challenge the gender inequalities that mean women are more likely to lose out than men in the face of climate change? This In Brief sets out why it is vital to address the gender dimensions of climate change.

  3. Library Resource
    Datasets
    Training Resources & Tools
    January, 2009
    Africa, Uganda, Cameroon, Senegal, Latin America and the Caribbean, Argentina, Asia, Philippines, Eastern Europe

    The Land Matrix is an independent land monitoring initiative that promotes transparency and accountability around large-scale land acquisitions (LSLAs) in low- and middle-income countries across the world. By capturing data on its website, the initiative aims to stimulate debate on the trends and impacts of LSLAs, facilitate wide participation in collecting and sharing data about these deals, and contribute to the growing movement towards open data.

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