Khan said food security is not increasing because when the forests are cut down for cropland, they are no longer a source of food for people that may have depended on it.
“The forest is a public property that is not under any private ownership so people can go in and collect fruits, legumes or nuts to eat,” Khan said. “When the same piece of forest is converted into cropland, now it’s not a public property anymore. The individual farmer has access to that particular piece of land and maybe his family is getting the benefit, but the overall community is not because he’s not sharing the product with all these local people.”
One crucial way to help make Nigeria more food secure while protecting its natural ecosystems is through expanding irrigation in the country, which will be critical for Nigeria to help feed a growing population. With a current population of 218 million people, some estimates show that Nigeria’s population will swell to 400 million people by the year 2050, making it one of the most populous countries in the whole world.
For his research, Khan creates irrigation maps to see the current extent of irrigation and where irrigation could be expanded in the future using remote sensing techniques, downloading satellite data and using different machine learning algorithms to generate maps. But he wants his research on Nigeria to have a real impact on the world, which is why he wanted to invite policy makers, those who can affect change on the ground, to the workshop.
Those policy makers were able to network with one another and see where some of their areas and responsibilities might overlap as it relates to irrigation.
They also had participants draw on maps to identify where irrigation is currently happening and where they could potentially see irrigation expanding in the future. In the end, they came away with 40 paper irrigation maps that Khan will now use as validation points when he uses remote sensing to look at irrigation patterns in Nigeria.
“Some of the maps used really fine data because some people are from a particular place where they know that area very well,” Khan said. “I’ll use these as my validation points when I generate my current map and my potential irrigation expansion map. In that way I can say, ‘OK, those are the areas they have identified, and these are the areas that I have found, and then I can compare them.’”
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