Planning Complex Agro-Ecosystems: The Case of Analog Forestry

Traditional agroecosystems, aimed at maximizing the short term productivity, are characterized by oversimplification of ecological structure and dependence on the use of external inputs. Moreover, intensive agriculture is one of the main cause of deforestation. The main consequence of traditional agriculture is the loss of natural ecosystems and of their precious services. Analog forestry has emerged as a sustainable productive model able to be integrated in forest contexts, without degrading their ecological functions. The obtained agro-ecosystem is characterized by an ecological structure similar to the one of forest, and by the presence of several productive species in the same area. In this study we formalize a planning problem aimed at the optimized design of an analog forest on the medium term. In particular, besides the maximization of income, we considered both ecological (i.e., the presence of different vertical layers and several species) and socio-economic requirements (i.e., the smoothing of both inter- and intra-annual variability of income). We focus the analysis on the Peruvian Amazon, basing on a species database created by ArBio, a Peruvian association which promotes the analog forestry as tool for pursuing the conservation of forest ecosystem services. The obtained results show that the interannual income variability, characterizing an approach of short-term maximization, can be eliminated by adopting the gradual planting of individuals belonging to the same species. Secondly, we quantified the economic and ecological performance of the designed analog forest under different settings of the planning problem. The introduction of the defined ecological and socio-economic constraints affects the economic performance on the medium term, by reducing the annual economic income up to 80%.