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Modeling climate suitability for wheat (Triticum aestivum L.) distribution inPakistan by Maximum Entropy (Maxent) approach

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dc.contributor.author Amna Rashid
dc.date.accessioned 2024-05-06T06:31:41Z
dc.date.available 2024-05-06T06:31:41Z
dc.date.issued 2023-04
dc.identifier.uri http://hdl.handle.net/123456789/17479
dc.description PP. 58; ill en_US
dc.description.abstract Pakistan is one of ten countries in the world which are likely to be strongly affected by climate change and face very serious food security issues. The variability in temperature and precipitation diversifies the geographical expediency of lands for crop cultivation. This research used the (Maxent) model based on maximum entropy approach to predict the climate change impact and land suitability for wheat production in Pakistan. Wheat is by far a significant and major staple food in Pakistan. en_US
dc.language.iso en en_US
dc.publisher © Lahore School Of Economics en_US
dc.subject Environmental Science and Policy en_US
dc.title Modeling climate suitability for wheat (Triticum aestivum L.) distribution inPakistan by Maximum Entropy (Maxent) approach en_US
dc.type Thesis en_US


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