Freitag, 30. Oktober 2015

Adaptation to Climate Change in the Lake Chad Basin


The first project, I will present you, is a cooperation between German Federal Ministryfor Economic Cooperation and Development (BMZ) and the LCBC. Their main goal is information and education concerning climate change and how people can adapt on the different living circumstances.
Therefore, the BMZ made a case study by measuring all the climate information they got. Rainfall, temperature etc. and how they developed in the past decades. With this information they created different climate change scenarios for this area.
The paper is very interesting and I recommend it to read, in particular, because of the use of modern techniques like remote sensing, they created nice graphics.
For example a graphic, which shows the NDVI in a dry year and in a wet year.


Figure 4: GIZ 2015

For everybody who is not familiar with the short form NDVI. It means Normalized Difference Vegetation Index and it is a method to make a statement concerning the quality and quantity of vegetation by using a special formula on remote sensing data.

With this project the BMZ and LCBC want to achieve a better awareness and understanding of climate change in the population. Especial because according to them (BMZ), the drying of the lake is just 50% by global climate change, the rest is caused by growing water demand, in particular for agricultural.

For this reason, they are trying to make the agricultural use of water more efficiency and better the value chain, by using a combination of traditional and modern adaption methods. By this means, they support food security for the population.

 Figure 5: BMZ

2 Kommentare:

  1. I really enjoyed reading your blog, Yamil! From this particularly post I am curious about the adaptation methods that you mention. Have you come across any examples of how the community is improving agricultural efficiency?

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  2. Hi, thank you for the comment! To improve agricultural efficiency, they are trying to cultivate crops, which are more adaptive regarding water needs in special areas and seasons, to minimize the usage of water. For example, special plants in dryer regions and different plants in more wet regions etc.

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