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Regional forage production assessment in arid and semi-arid rangelands – A step towards social–ecological analysis
Institution:1. Potsdam Institute for Climate Impact Research, Potsdam, Germany;2. International Institute for Applied Systems Analysis, Laxenburg, Austria;3. National Institute of Environmental Studies, Tsukuba, Japan;4. Fondazione Eni Enrico Mattei, Milan, Italy;5. Pacific Northwest Laboratory''s Joint Global Research Institute, College Park, USA;6. European Commission Joint Research Centre, Sevilla, Spain;7. Centre International de Recherche sur l''Environnement et le Développement, Paris, France;8. Institute of Communication and Computer Systems, Athens, Greece;9. Research Institute of Innovative Technology for the Earth, Kizugawa-shi, Japan;10. Paul Scherrer Institute, Villigen, Switzerland;11. Tyndall Centre for Climate Change Research, University of East Anglia, Norwich, UK;12. Utrecht University, Copernicus Institute of Sustainable Development, Utrecht, The Netherlands;13. PBL Netherlands Environmental Assessment Agency, Bilthoven, The Netherlands;1. Department of Economics, South Dakota State University, Brookings, SD 57007, USA;2. Texas A&M AgriLife Research, Vernon, TX 76384, USA
Abstract:Many of the complex issues worldwide regarding environmental management and sustainable develo-pment require integrating the social and natural sciences. Nevertheless, while theoretical discussions have been increasingly developed, operative issues are still major barriers to integrated social–ecological analysis. The aim of this paper was to assess regional forage production in semi-arid rangelands as a key feature in social-ecological analysis, by using human organizational units (i.e. counties). We used these state-administrative units to explore demographic and farming indicators in order to address socio-productive implications of different regional forage production dynamics. We studied the forage spatial and temporal dynamics in two different large ecological regions: Monte and Patagonia, under a single administrative unit (i.e. province). Since forage production estimations in arid rangelands are not trivial, we tested two different methods. We found that inter-annual variability in forage production explained the main differences between regions. At a regional level, zones with higher temporal variability in forage production registered less rural residents and farm numbers, but inverse situations were registered at sub-regional scales. We found a non-linear relationship between forage production variability and rural population density. We proposed differentiated policy recommendations regarding rangeland management and animal husbandry, considering both the social and ecological contexts.
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