171 resultados para Landscape urbanism


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Ackerman begins his book "The Villa" (1995) with these words: 'A villa is a building in the country designed for its owner's enjoyment and relaxation .... [it] accommodates a fantasy which is impervious to reality.' He concludes: , ... the country, in exacting confrontations with the immanent brute forces and sensuous enchantments of nature, prompts inspired responses.' Blairgowrie House - the villa in the landscape - was built in the 1870s and the 'Portsea Palace' - a personal club med resort - in the late 1990s. The notion of an inspired response and the concept of dwelling poetically are manifestly absent in the Portsea Palace. Why?

This paper explores architecture and landscape - particularly 'domestic' architecture and coastal landscapes in Victoria's Nepean Peninsula. It looks closely at what architects mean when they say their design reflects place, relates to site, is climate specific, is close to nature, responds to the landscape, and/or is sensitive to the environment. Exemplars from different centuries are examined in their philosophical contexts and frames of reference. The complexities of the notion of place and identity, belonging, and dwelling (in the Heideggerian sense) are examined to identify the shift that has occurred over time as science and technology have ostensibly freed 'modern man' from 'a direct dependence on places' (Norberg Schultz). The alienation and loss that has eventuated - for humans and for the environment - will be critically analysed and assessed.

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It has been possible to nominate places for their cultural landscape values to the World Heritage List since December 1992. The Operational Guidelines (2005) define cultural landscapes as cultural properties that ‘represent the “combined works of nature and man” designated in Article 1 of the Convention’. They are illustrative of the evolution of human society and settlement over time, under the influence of the physical constraints and/or opportunities presented by their natural environment and of successive social, economic and cultural forces, both internal and external’ (Para 47). Refining this further, the World Heritage system recognises three categories of cultural landscapes:

1. Clearly defined landscapes designed and intentionally created by man;

2. Organically evolved landscapes of two subtypes:
·  Relict or fossil landscapes in which an evolutionary process has come to an end but where its distinguishing features are still visible;
·  Continuing landscapes which retain an active social role in contemporary society associated with a traditional way of life and in which the evolutionary process is still in progress and where it exhibits significant material evidence of its evolution over time;

3. Associative cultural landscapes where the outstanding universal value relates to the powerful religious, artistic, or cultural associations of the natural elements rather than the evidence of material culture.

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This paper explores the use of tradition by the redevelopment project ofXin Tian Di (New Heaven and Earth) in Shanghai. The paper also identifies the implications of this urban redevelopment project to historic quarters in Chinese cities. An enormous commercial success and new Shanghai icon, Xin Tian Di project has transformed a former residential neighbourhood into a high end entertainment precinct. While the redevelopment ofXin Tian Di has retained the architectural features of the place, the use and interpretation of tradition by the project is problematic. The project shows a tendency where the established idea of tradition is destabilised and challenged. It also highlights issues of cultural authenticity in the redevelopment of historic quarters.

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1. Studies of landscape change are seldom conducted at scales commensurate with the processes they purport to investigate. Landscape change is a landscape-level process, yet most studies focus on patches. Even when landscape context is considered, inference remains at the patch-level. The unit of investigation must be extended beyond individual patches to whole mosaics in order to advance understanding of faunal responses to landscape change.

2. In this study, we aggregated data from multiple sites per landscape such that both the response and explanatory variables characterized 'whole' landscapes, allowing for landscape-level inference about factors influencing species' incidence.

3. We used hierarchical partitioning and Bayesian variable selection methods to develop species-specific models that examined the influence of four categories of landscape properties – habitat extent, habitat configuration, landscape composition and geographical location – on the incidence of 58 species of woodland-dependent birds in 24 agricultural landscapes (each 100 km2) in south-eastern Australia.

4. There was strong evidence for a positive effect of habitat extent for 27 species. Thirty species were related to at least one of the four landscape composition variables, and geographical location was important for 19 species. Habitat configuration was influential for 13 species and where important, the impacts of fragmentation per se were detrimental.

5. Variation among species in the influential landscape variables indicates that different species respond to different sets of cues in land mosaics. Thus, although all species were grouped a priori as 'woodland-dependent', expectations based on general ecological characteristics may prove unreliable.

6. Synthesis and applications. These results underscore the value of moving beyond the fragmentation paradigm focused on the spatial pattern of habitat vs. non-habitat, to a greater appreciation of the composition and heterogeneity of land mosaics. Landscape-level inference will enable improved conservation outcomes by recognizing the influence of landscape properties on biota and devising strategies at this scale to complement patch-based management. We provide strong empirical evidence that biodiversity management in agricultural landscapes must focus on habitat extent. Complementary management of other landscape attributes, such as habitat aggregation and intensity of agricultural land-use, will also enhance the value of agricultural landscapes for woodland birds.

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Clustering of multivariate data is a commonly used technique in ecology, and many approaches to clustering are available. The results from a clustering algorithm are uncertain, but few clustering approaches explicitly acknowledge this uncertainty. One exception is Bayesian mixture modelling, which treats all results probabilistically, and allows comparison of multiple plausible classifications of the same data set. We used this method, implemented in the AutoClass program, to classify catchments (watersheds) in the Murray Darling Basin (MDB), Australia, based on their physiographic characteristics (e.g. slope, rainfall, lithology). The most likely classification found nine classes of catchments. Members of each class were aggregated geographically within the MDB. Rainfall and slope were the two most important variables that defined classes. The second-most likely classification was very similar to the first, but had one fewer class. Increasing the nominal uncertainty of continuous data resulted in a most likely classification with five classes, which were again aggregated geographically. Membership probabilities suggested that a small number of cases could be members of either of two classes. Such cases were located on the edges of groups of catchments that belonged to one class, with a group belonging to the second-most likely class adjacent. A comparison of the Bayesian approach to a distance-based deterministic method showed that the Bayesian mixture model produced solutions that were more spatially cohesive and intuitively appealing. The probabilistic presentation of results from the Bayesian classification allows richer interpretation, including decisions on how to treat cases that are intermediate between two or more classes, and whether to consider more than one classification. The explicit consideration and presentation of uncertainty makes this approach useful for ecological investigations, where both data and expectations are often highly uncertain.

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Most studies of habitat use by small mammals rely on data from trapping grids. Such studies pertain to habitat use by individuals, which may not reflect population-level requirements. To meet the challenge of landscape change, it is important to understand habitat use by populations across large geographic areas. We surveyed small mammals in 48 forest remnants across a 300 km2 study area, to investigate the influence of vegetation heterogeneity on regional distributions. Information-theoretic techniques were used to evaluate models of vegetation associations. Richness of native mammals was influenced by vegetation condition: disturbed sites supported fewer species. Models for individual species showed the agile antechinus, Antechinus agilis, to prefer structurally diverse forest vegetation, the long-nosed potoroo, Potorous tridactylus, to favour mesic shrub communities, the bush rat, Rattus fuscipes, to prefer complex low cover regardless of composition, the swamp rat, Rattus lutreolus, to favour reduced canopy cover, and the house mouse, Mus domesticus, to prefer disturbed vegetation. To satisfy the needs of all native species, a mosaic of natural vegetation is required. Degradation and simplification of forest vegetation have detrimental consequences. These results highlight the need to consider habitat quality, together with more traditional biogeographic variables, when investigating factors influencing patch occupancy by native fauna in modified landscapes.