Embedded in the land: customary social relations and practices of resilience in an East Timorese community

Drawing on a case study of Cacavei, a rural subsistence community in Timor-Leste, this article explores the mutually constitutive relationship between people and land within customary forms of society. Patterns of land use and connection to land are not simply reflective of genealogical modes of social organisation, but are also enabling of them. Particularly, the embedding of ancestors within the land offers a means of accessing kinship relationships beyond the genealogical present. Embeddedness provides a quality of embodiment that makes ancestors active participants in social life. Constituted in the relational nexus of people and land, forms of social organisation in Cacavei have a mutability which goes some way to explaining the community’s resilience in spite of forced displacement and cultural disruption during the period of Indonesian occupation. This mutability might be considered more broadly as a source of resilience for customary communities grappling with modernising processes of change.

TMI for urban resilience : measuring and mapping long-term climate change effects on soil moisture

The effect of climate change on the shallow expansive foundation conditions of resident dwellings is costing several hundred billion dollars worldwide. The design and costs of constructing or repairing residential footings is greatly influenced by the degree of ground movement, which is driven by the magnitude of change in soil moisture. The impacts of climate change on urban infrastructure are expected to include accelerated degradation of materials and foundations of buildings and facilities, increased ground movement, changes in ground water affecting the chemical structure of foundations, and fatigue of structures from extreme storm events. Previous research found that residential houses that were built less than five years ago have suffered major cracks and other damage caused by slab movement after record rainfall. The Thornthwaite Moisture Index (TMI) categorises climate on the basis of rainfall, temperature, potential evapotranspiration and the water holding capacity of the soil. Originally TMI was mainly used to map soil moisture conditions for agriculture but soon became a method to predict pavement and foundation changes. Few researchers have developed TMI maps for Australia, but generally, their accuracy is low or unknown, and their use is limited. The aims of this paper are: (1) To produce accurate maps of TMI for the state of Victoria for 100 years (1913 to 2012) in 20 year periods using long-term historical climatic data and advanced spatial statistics methods in GIS, and (2) Analyse the spatial and temporal changes of TMI in Victoria. Preliminary results suggest that a better understanding of climate change through long-term TMI mapping can assist urban planning and guide construction regulations towards the development of cities which are more resilient.

Gene flow in east antarctic echinoderms and resilience to climate change

The spatial scales of population genetic structure in three species of Antarctic echinoderm, Sterechinus neumayeri, Abatus nimrodi and Abatus ingens was quantified using mitochondrial sequences and a novel set of microsatellite markers. Reduced fertilisation success in S. neumayeri resulting from increasing temperature and decreasing salinity was also identified.

Building academic resilience: A longitudinal study of Master of Teaching students’ perceptions of written feedback on high stakes assessment

This paper reports on a two-year study of tertiary education students’ perceptions of written feedback on assessment. Contextualised in a regional Australian university and drawing on a cohort of Master of Teaching pre-service teachers, a survey approach was used to collect data from participants in both years of their graduate-level entry program. The paper contributes to the emerging body of literature on students’ perceptions of written feedback on assessment by discussing four themes that emerged from the study. It concludes with a number of recommendations for teacher educators to enhance current feedback practices.

Categorization of disaster decision support needs for the development of an integrated model for DMDSS

The wide variety of disasters and the large number of activities involved have resulted in the demand for separate Decision Support System (DSS) models to manage different requirements. The modular approach to model management is to provide a framework in which to focus multidisciplinary research and model integration. A broader view of our approach is to provide the flexibility to organize and adapt a tailored DSS model (or existing modular subroutines) according to the dynamic needs of a disaster. For this purpose, the existing modular subroutines of DSS models are selected and integrated to produce a dynamic integrated model focussed on a given disaster scenario. In order to facilitate the effective integration of these subroutines, it is necessary to select the appropriate modular subroutine beforehand. Therefore, subroutine selection is an important preliminary step towards model integration in developing Disaster Management Decision Support Systems (DMDSS). The ability to identify a modular subroutine for a problem is an important feature before performing model integration. Generally, decision support needs are combined, and encapsulate different requirements of decision-making in the disaster management area. Categorization of decision support needs can provide the basis for such model selection to facilitate effective and efficient decision-making in disaster management. Therefore, our focus in this paper is on developing a methodology to help identify subroutines from existing DSS models developed for disaster management on the basis of needs categorization. The problem of the formulation and execution of such modular subroutines are not addressed here. Since the focus is on the selection of the modular subroutines from the existing DMDSS models on basis of a proposed needs classification scheme.