An Adaptive Capacity Guide Book: assessing, building and evaluating the capacity of communities to adapt in a changing climate

A capacity to adapt to change is essential for managing Australia’s natural resources. The individuals, communities and organisations who manage our natural resources all have an innate capacity to adapt to change. Changes in climate, markets and technology have shaped the way we adapt the management of natural resources in urban, rural and coastal landscapes. Some of these changes are predictable and easy to manage. Others are expected, but their timing and magnitude are uncertain. Whatever the future holds, this guide can be used to build our capacity to meet future change with confidence

Adaptive Beamforming and Adaptive Modulation-Assisted Network Performance of Multiuser Detection-Aided FDD and TDD CDMA Systems

The network performance of a frequency division duplex and time division duplex (TDD) code division multiple access (CDMA)-based system is investigated using system parameters similar to those of the Universal Mobile Telecommunication System. The new call blocking and call dropping probabilities, the probability of low-quality access, and the required average transmit power are quantified both with and without adaptive antenna arrays (AAAs), as well as when subjected to shadow fading. In some of the scenarios investigated, the system’s user capacity is doubled with the advent of adaptive antennas. The employment of adaptive modulation techniques in conjunction with AAAs resulted in further significant network capacity gains. This is particularly so in the context of TDD CDMA, where the system’s capacity becomes poor without adaptive antennas and adaptive modulation owing to the high base station (BS) to BS interference inflicted as a consequence of potentially using all time slots in both the uplink and downlink of the emerging wireless Internet. Index Terms—Adaptive beamforming, adaptive modulation, code division multiple access (CDMA) systems, Universal Mobile Telecommunication System Terrestrial Radio Access (UTRA), wireless network performance

The Capacity of Adaptive Group Testing

We define capacity for group testing problems and deduce bounds for the capacity of a variety of noisy models, based on the capacity of equivalent noisy communication channels. For noiseless adaptive group testing we prove an information-theoretic lower bound which tightens a bound of Chan et al. This can be combined with a performance analysis of a version of Hwang's adaptive group testing algorithm, in order to deduce the capacity of noiseless and erasure group testing models.Comment: 5 page

Environmental capacity building through knowledge transfer partnerships

This paper describes the need for organisations to develop adaptive capacity in the face of environmental challenges. It argues that "knowledge transfer" can provide a useful mechanism for developing this environmental adaptive capacity and outlines the experiences of a Knowledge Transfer Partnership between North Tyneside Council and Northumbria University. Initial findings from the partnership suggest that the knowledge and skills transferred to the local authority through knowledge transfer, are already building capacity within the organisation, and beginning to filter down to private sector companies involved with the authority and the communities who they represent

Disaster response and climate change in the Pacific

AbstractDisasters, and therefore disaster response, in the Pacific are expected to be affected by climate change. This research addressed this issue, and focused on the immediate humanitarian needs following a disaster, drawing upon adaptive capacity as a concept to assess the resilience of individual organisations and the robustness of the broader system of disaster response. Four case study countries (Fiji, Cook Islands, Vanuatu and Samoa) were chosen for deeper investigation of the range of issues present in the Pacific. The research process was guided by a Project Reference Group, which included key stakeholders from relevant organisations involved in Pacific disaster response to guide major decisions of the research process and to influence its progression.Given the complexity of issues involved, including the contested definitions of adaptive capacity, the research team developed a conceptual framework to underpin the research. This framework drew upon concepts from a range of relevant disciplines including Earth System Governance, climate change adaptation, health resources, resilience in institutions and practice theory. Objective and subjective determinants of adaptive capacity were used to assess the ‘disaster response system’, comprised of actors and agents from government and non-government sectors, and the governance structures, policies, plans and formal and informal networks that support them.Results revealed the most important determinant of adaptive capacity in the Pacific to be communications and relationships, with both informal and formal mechanisms found to be essential. Capacity (including human, financial and technical); leadership, management and governance structures; and risk perceptions were also highly important determinants of adaptive capacity. The research also found that in small Pacific island bureaucracies, responsibility and capacity often rests with individuals rather than organisations. Leadership, trust, informal networks and relationships were found to have a strong influence on the adaptive capacity of organisations and the broader disaster response system.A common finding across all four case study countries affecting adaptive capacity was the limited human resources for health and disaster response more generally, both in times of disaster response and in day-to-day operations. Another common finding was the gap in psychosocial support after a disaster. Water, sanitation and hygiene (WASH) as an immediate post-disaster humanitarian need was relatively well established amongst responding organisations (although long term WASH issues were not resolved), while other humanitarian needs (health care, and food and nutrition) had varying stages of capacity – often limited by human, financial and technical resources. Adaptive capacity was therefore constrained by current gaps which need addressing alongside a future focus where risk is changing.Drawing on these and other findings, recommendations for addressing key determinants of adaptive capacity were developed for relevant stakeholder groups including policy makers and practitioners in the disaster and emergency response sectors in Australia and the Pacific

Dynamic Channel Allocation Techniques Using Adaptive Modulation and Adaptive Antennas

This contribution studies the impact of adaptive quadrature amplitude modulation (AQAM) on network performance when applied to a cellular network, using adaptive antennas in conjunction with both fixed channel allocation (FCA) and locally distributed dynamic channel allocation (DCA) schemes. The performance advantages of using adaptive modulation are investigated in terms of the overall network performance, mean transmitted power, and the average network throughput. Adaptive modulation allowed an extra 51% of users to be supported by an FCA 4-QAM network, while in conjunction with DCA, an additional 54% user capacity was attained. Index Terms—Adaptive antennas, adaptive modulation, adaptive arrays, beam-steering, DCA, dynamic channel allocation

A versatile infinite-state Markov reward model to study bottlenecks in 2-hop ad hoc networks

In a 2-hop IEEE 801.11-based wireless LAN, the distributed coordination function (DCF) tends to equally share the available capacity among the contending stations. Recently alternative capacity sharing strategies have been made possible. We propose a versatile infinite-state Markov reward model to study the bottleneck node in a 2-hop IEEE 801.11-based ad hoc network for different adaptive capacity sharing strategies. We use infinite-state stochastic Petri nets (iSPNs) to specify our model, from which the underlying QBD-type Markov-reward models are automatically derived. The impact of the different capacity sharing strategies is analyzed by CSRL model checking of the underlying infinite-state QBD, for which we provide new techniques. Our modeling approach helps in deciding under which circumstances which adaptive capacity sharing strategy is most appropriate