AGRECO4CAST

Introduktion

AGRECO4CAST will co-design a standardized assessment framework for Living Lab (LL) innovations, that fosters a coherent, successful integration of agroecological principles in agroforestry landscapes characterized by perennial cropping systems, such as vineyards, olive- or fruit orchards, across  European countries. In addition to the agroecological co-creation approach and the combination of woody-plant components, the novelty lies in the integration of process-based quantitative impact projection with stakeholder-based impact assessments, whereby the integration and stakeholder dialogue are supported with artificial intelligence (AI). Our codesign approach involves stakeholders at farm and landscape level during all relevant steps of the assessment process, and it combines their inputs with the expertise of process-based modelers, landscape ecologists and planners, social scientists, economists, AI-scientists, etc.. This assessment framework allows for evaluating co-created transition pathways (scenarios). This allows to accompany and evaluate existing experiments and supports an efficient redesign of landscape systems following the 5 steps of agroecological transition. We will actively cooperate and engage in dialogue with the EU Agroecology Partnership.

To achieve the AGRECO4CAST goals we will:

i) define agroecological measures tailored to local ecological, and socio-economic conditions in 5 LLs;

ii) study their effects compared to conventional perennial cropping at the landscape level,

iii) assess options for synergies from optimizing spatial configurations of landscape elements across farms and formulate scenarios that account for different climatic and socio-economic future conditions;

iv) assess pathways of agroecological transitions; and

v) develop recommendations for Common Agricultural Policy

Forventede resultater

Projektets resultater stilles gratis til rådighed for alle virksomheder, der er aktive i den pågældende landbrugs- eller skovbrugssektor eller -delsektor. 

Resultater

Tilgår.