Forecasting future global food demand: A systematic review and meta-analysis of model complexity

Volume: 120, Pages: 93 - 103
Published: Nov 1, 2018
Abstract
Predicting future food demand is a critical step for formulating the agricultural, economic and conservation policies required to feed over 9 billion people by 2050 while doing minimal harm to the environment. However, published future food demand estimates range substantially, making it difficult to determine optimal policies. Here we present a systematic review of the food demand literature—including a meta-analysis of papers reporting average...
Paper Details
Title
Forecasting future global food demand: A systematic review and meta-analysis of model complexity
Published Date
Nov 1, 2018
Volume
120
Pages
93 - 103
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