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 |