This paper links international statistical environmental-economic standards for natural resources and ecosystem service accounts.
In accounting for crop provision, an emergy approach is applied to identify and disentangle natural inputs from anthropogenic factors and measure ecosystem contribution to this service.
Moreover, a sustainability scoreboard is derived to analyse how relevant economic, social and environmental components behave by country and by crop and to align this analytical effort with the international call for the Sustainable development Goals (SDG), including SDG 12, Ensure sustainable consumption and production patterns, and SDG 15, Life on land, which promotes the sustainable use of terrestrial ecosystems as essential natural resources for economy and society.
The System of Environmental-Economic Accounting for Agriculture, Forestry and Fisheries (SEEA AFF) offers the possibility to assess and report detailed accounts for primary industries while establishing important linkages with relevant ecosystem services, in line with the SEEA Experimental Ecosystem Accounting (SEEA EEA). In this paper, crop products and crop provision as ecosystem service are coherently merged to build a sustainability scoreboard for selected crops in European countries. The sustainability scoreboard uses the SEEA AFF accounts for crop products with data inputs from FAOSTAT and the Integrated system of Natural Capital Accounts (INCA) of the Joint Research Centre (JRC) for ecosystem services. The combined FAO-JRC accounting table described in this paper provides a common ground and measurement tool towards a sustainability scoreboard, useful to analyse how relevant economic, social and environmental components behave by country. This newly derived sustainability scoreboard presents significant differences with respect to analyses based on standard agricultural statistics. Lack of sufficiently accurate data remains the major limitation to current fuller implementation of the sustainability scoreboard. However reasonable assumption can be made that ongoing international data collection processes (including FAO questionnaires) integrated with Geographic Information System (GIS) analysis will supply in the near future additional relevant and applicable information.