I really think it would be more useful to think and speak in terms of a 'both/and', rather than an 'either/or' scenario. Population versus gender is a false dichotomy.
Gender analysis is essential to any population research, and certainly to investigating issues in agriculture, food security, and climate change. There should be a systematic, intersectional analysis of population issues, with disaggregation of all data by sex, age, and other key diversity variables for a given population and context.
I really think it would be more useful to think and speak in terms of a 'both/and', rather than an 'either/or' scenario. Population versus gender is a false dichotomy.
Gender analysis is essential to any population research, and certainly to investigating issues in agriculture, food security, and climate change. There should be a systematic, intersectional analysis of population issues, with disaggregation of all data by sex, age, and other key diversity variables for a given population and context.