This study quantifies the aboveground C storage of coffee agroecosystems (AESs) present in the Xalapa–Coatepec region of the state of Veracruz, one of the most important coffee producing regions in Mexico. We identified and determined the spatial distribution of five different types of coffee AESs. Then, through the point-centered quarter method, we measured canopy coverage, total height, diameter at breast height and density of tree species at 160 randomly selected sampling sites. Using allometric models, we estimated the aboveground biomass and the stored aboveground C by tree species and type of AES; and finally, we scaled up our results at the regional level. We found out that the coffee AESs with the greatest and the lowest potential for storing aboveground C are coffee (Co) + talltrees (tree stratum mainly composed of species taller than 15 m) and Co + AcaciaInga (tree stratum mainly composed by Acacia pennatula), with a carbon density as 73.27 Mg C ha − 1 and 38.47 Mg C ha − 1 respectively. The 91.2% of the total aboveground C in the studied region is stored by two coffee AES types: Co + talltrees and Co + Inga (tree stratum composed by Inga sp.). The aboveground C storage potential of all five coffee AESs in the central region of Veracruz is 2.43 million Mg C with an average carbon density of 55.12 Mg C ha − 1 . These results assert that coffee AESs should be considered important C sinks that contribute to the adaptation and mitigation of climate change.

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In this paper we propose and implement a modularization framework for Jason that enables developers to decompose agents into separate code units called modules, and by fulfilling an agent-module design contract to conceive agents behaviour design into different levels of abstraction -from a software engineering perspective. Thus, we promote code reuse as well as facilitate independent development, maintainability and extensibility. For our implementation we use annotations mechanism and customizable components in Jason.

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