Developing a Panarchy model of landscape conservation and management of alpine-mountain grassland in northern Italy

Soane, I. D., Scolozzi, R., Marelli, B., Orsatti, C., Hubacek, K. and Gretter, A. (2011) Developing a Panarchy model of landscape conservation and management of alpine-mountain grassland in northern Italy. Working Paper. Openloc Working Papers. (Unpublished)

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Publisher's URL: https://ideas.repec.org/p/trn/utwpol/1107.html

Abstract

This paper explores methods of applying resilience theory to a case study of natural resource management and the cultural landscape of upland and alpine pasture in northern Italy. We identify that the close interaction between alpine pastures and its managers offers a strong fit with the concept of a social-ecological system that maintains the cultural landscape. We first considered a descriptive approach looking historically at socio-economic development in the study area. We explored whether this can be related to resilience phenomena such as regime shifts, thresholds and/or regime stability through adaptive processes. However, we found it difficult at this overarching level to conceptually combine natural and social capital of alpine pastures and their managers in any quantitative way. We also interpreted our data through considering economic, social and ecological information as acting within separate but interacting domains. This led us to construct conceptual models of adaptive cycles to describe the alpine mountain grassland ecosystem of our study site and to conclude that a panarchy model can offer a powerful metaphor for its ecological dynamics. This has practical implications both for the management of Natura 2000 interest and the maintenance of the cultural landscape in which this Alpine interest occurs. We suggest that Resilience theory through its dynamic approach of interacting scales of adaptive cycles offers useful insights into the resource management (of valued cultural and natural attributes) but that care is needed in distinguishing between descriptive metaphor and predictive model or "real" system.

Item Type:Research Reports or Papers (Working Paper)
Status:Unpublished
Glasgow Author(s) Enlighten ID:Orsatti, Dr Cristina
Authors: Soane, I. D., Scolozzi, R., Marelli, B., Orsatti, C., Hubacek, K., and Gretter, A.
College/School:College of Social Sciences > School of Social & Environmental Sustainability
Publisher:Openloc Working Papers

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