Landscape changes, traditional ecological knowledge and future scenarios in the Alps: A holistic ecological approach

Sci Total Environ. 2017 Feb 1:579:27-36. doi: 10.1016/j.scitotenv.2016.11.075. Epub 2016 Nov 19.

Abstract

In recent decades, a dramatic landscape change has occurred in the European alpine region: open areas have been naturally recolonized by forests as traditional agricultural and forest activities were reduced and reorganized. Land use changes (LUC) are generally measured through GIS and photo interpretation techniques, but despite many studies focused on this phenomenon and its effects on biodiversity and on the environment in general, there is a lack of information about the transformation of the human-environment connection. The study of Traditional Ecological Knowledge (TEK), such as the ability to recognize wild plants used as medicine or food, can suggest how this connection evolved through time and generations. This work investigates the relationship between the natural forest cover expansion that influences the loss of open areas and the loss of TEK. Different data sources and approaches were used to address the topic in all its complexity: a mix of questionnaire investigations, historical maps, GIS techniques and modelling were used to analyse past land use changes and predict future scenarios. The study area, Trentino, Italy, is paradigmatic of the alpine situation, and the land use change in the region is well documented by different studies, which were reviewed and compared in this paper. Our findings suggest that open area loss can be used as a good proxy to highlight the present state and to produce future scenarios of Traditional Ecological Knowledge. This could increase awareness of the loss of TEK in other Alpine regions, where data on TEK are lacking, but where environmental trends are comparable.

Keywords: Forest; Future scenarios; GIS; Land use change; Local knowledge; Open areas.

MeSH terms

  • Agriculture
  • Biodiversity
  • Conservation of Natural Resources
  • Ecology*
  • Ecosystem
  • Environmental Monitoring / methods*
  • Forecasting
  • Forests
  • Italy
  • Plants