Abstract:
Agriculture in tropical developing countries produces about 7–9 % of annual
anthropogenic greenhouse gas (GHG) emissions and contributes to additional
emissions through land-use change (Smith et al. 2014). At the same time, nearly
70 % of the technical mitigation potential in the agricultural sector occurs in
these countries (Smith et al. 2008). Enabling farmers in tropical developing
countries to manage agriculture to reduce GHG emissions intensity (emissions
per unit product) is consequently an important option for mitigating future
atmospheric GHG concentrations. Our current ability to quantify GHG emissions
and mitigation from agriculture in tropical developing countries is remarkably
limited (Rosenstock et al. 2013). Empirical measurement is expensive and
therefore limited to small areas. Emissions can be estimated for large areas
with a combination of field measurement, modeling and remote sensing, but even
simple data about the extent of activities is often not available and models
require calibration and validation (Olander et al 2014). These guidelines focus
on how to produce field measurements as a method for consistent, robust
empirical data and to produce better models.s.
Full text:
https://link.springer.com/content/pdf/10.1007%2F978-3-319-29794-1.pdf