Luigi Conte , Federico Surra , Sebastiano Favarin , Vito Comar , Francesco Gonella
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引用次数: 0
Abstract
At the time of the development of H.T. Odum’s energy system theory, the field of agroecology was not yet defined as a scientific discipline. Nevertheless, minimal models were already proposed to describe what today are referred to as agroecological and land restoration practices. In this work, we review literature from the early 1970s to nowadays by tracing a red thread to connect the original formulation of the energy system language with the current understanding of agroecology and land restoration. In the light of this picture, we draw a general application of the energy systems language and modeling to describe land use and land restoration dynamics. We apply this scheme to model and reproduce the land use dynamics of a real restoration project led by a farmers’ family in Mato Grosso do Sul, Brazil. The case study of Sitio Luciana shows the transformation of a monocultural and partially degraded land into a biodiverse, food-producing area by developing a complex agroecosystem owing to human work and farmers’ local ecological knowledge. As an application of the energy system language, we build a dynamical model that closely reproduces observed GIS-retrieved patterns (global RMSE ∼2%), highlighting human-mediated ecological succession—targeted at restoring Atlantic Forest—as key to agroecosystems development, and offering scientific validation of the farmers’ local ecological knowledge. This work shows that the energy systems theory and modelling approach, as inherited from H.T. Odum, can: 1) deepen the understanding of local agroecosystem and land system dynamics, including human management; 2) inform the development of non-linear models grounded in both scientific and local knowledge; and 3) offer conceptual guidance for land management and policy strategies.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).