Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
93338 | Land Use Policy | 2012 | 7 Pages |
Prioritizing land units for environmental management and planning is central in any process aiming at the improvement of urban and environmental conditions. In this study, an algebraic method (lattice theory) was applied to data describing the characteristics of ten land units of a landscape of Rio de Janeiro, Brazil. Consequently, landscape complexity was modeled and land units were prioritized for land management.While most usual mathematical methods for evaluation involve statistical approaches, the lattice-theoretical approach is a completely different, non-numerical algebraic and qualitative method, offering the advantages of: (a) providing three-dimensional representations of a landscape's complexity; (b) discovering essential structures of data (termed “concepts”) from within landscape data, (c) determining the relative significance (or value) of each criterion and of each land unit for the overall landscape complexity, (d) identifying the land units which are ecologically and geomorphologically more significant for a landscape, (e) mapping landscape complexity and, indeed, mapping total landscape complexity (structural, functional and qualitative) at the land unit level and (f) prioritizing land units in a tropical landscape for strict land management and/or conservation.
► A new algebraic, non-statistical, non-numerical, qualitative method for 3-dimensional representations of landscape complexity allows to determine the relative significance (or value) of each landscape quality for the overall landscape complexity and thus aid in management. ► A landscape modeling method applicable to both ecological and geomorphic data allowing to map landscape complexity at the land unit level. ► Applied to prioritizing land units for environmental management and planning in an area of Rio de Janeiro. Allows prioritizing land units in a tropical (and any other) landscape for land management and/or conservation.