Complex Adaptive Team Systems (CATS): Scaling of a Team Leadership Development Model

Complex adaptive systems (CAS) have been identified as being hard to comprehend, composed of multiple interacting components acting interdependently with overlapping functions aimed at adapting to external/environmental forces. The current theoretical model utilized the natural functions of teams, viewing teams as a complex adaptive system, to develop the structure of the theory of complex adaptive team systems (CATS). The CATS model was formulated around the components of complexity theory (interactions, nonlinearity, interdependency, heterogeneity, complex systems, emergence, self-organizing, and adaptability) to show its utility across multiple domains (the role of leadership, organizational learning, organizational change, collective cognitive structures, innovation, cross-business-unit collaborations). In theorizing the CATS model, a new level of analysis was implemented, the interactions between agents as a move toward emergence in complex systems. The CATS model ultimately provides a model for organizations/institutions to drive knowledge creation and innovation while operating in today’s complexity

Integrating Geographic Information into the Analysis of the Genetic Distribution of South African Vervet Monkeys

This project uses the program Geneland to reanalyze McAuliffe’s (2008) thesis data on genetic variability in three South African vervet monkey populations (Polokwane, Oribi and Blyde). Using information on the geographic location and genetic variability of these populations, the spatially explicit Geneland program shows that the three populations are weakly differentiated. These findings oppose the results of previous genetic studies of South African vervet monkeys as well as the results obtained by McAuliffe with the spatially implicit Structure program, which found that the 34 individuals all come from one population. Based on this historic data and the fact that other studies have found the same number of subpopulations with both Structure and Geneland, I conclude that Polokwane, Oribi and Blyde are slightly differentiated, though not distinct enough to be considered separate populations (Latch et al. 2008). These results need to be supported by an analysis of the entire sample of South African vervet monkey genetic data from up to 200 animals prior to suggesting policy changes regarding genetic structuring in South African vervet monkeys

Assessing subjective preferences for river quality improvements: combining Q-methodology and choice experiment data

Choice decisions are inherently subjective but capturing and explaining nuanced variation in respondents’ attitudes is difficult and needs more than the simple socio-demographic variables traditionally used in economic research. In recent years, environmental economists have been shifting towards a more holistic approach to economic valuation, making an increased use of psychology within behavioural economics, to better understand subjective preferences on the environment. This research applies a novel mixed-methods approach to integrate the results from a Q-methodological analysis, which reveals respondents’ latent traits and perceptions about river management, into a choice experiment which estimates respondents’ preferences for potential future improvements to river water quality. The purpose is to improve the quantification of subjectivity within stated preference experiments. Q-methodology reveals five statistically distinct narratives (characterised as Ecological, Financial, Leadership, Collaboration, Legislation) which define the main perspectives respondents hold for river management strategies. Choice experiment results suggest subjectivity causes significant differences in respondents’ choice behaviour. Statistically verified Q-methodological narratives provide plausible explanations for differences in respondents’ choice preferences regarding river water quality improvements. By triangulating between quantitative and qualitative research methods, we demonstrate a research strategy that can contribute to a better understanding of the impact socially contested perspectives have on respondents’ choice behaviour

The role of choice experiments in natural capital accounting approaches: fast track versus simulated exchange value in the Deben Estuary saltmarshes

Natural capital accounting requires exchange rather than welfare values, but lack of data and standards have encouraged practitioners to use different approaches (e.g. simple lookup table vs spatial modeling approaches). In this paper, we demonstrate how choice modeling data can provide simulated exchange values which are more robust than simple (fast track) valuation approaches for natural capital accounting. A survey of East of England residents collected the preferences for saltmarsh management and simulated exchange values, coherently linked with the ecosystem conditions. This approach is more informative for environmental local planning purposes. We claim that expanding the set of tools available for natural capital accounting can enhance management of ecosystem services and policy decision making

Integrated modelling for economic valuation of the role of forests and woodlands in drinking water provision to two African cities

Rapidly growing economies often have high population growth, resulting in agricultural expansion in rural areas and increased water demand in urban areas. Conversion of forests and woodlands to agriculture may threaten safe and reliable water supply in cities. This study assesses the regulating functions and economic values of forests and woodlands in meeting the water needs of two major cities in Tanzania and proposes an integrated modelling approach with a scenario-based analysis to estimate costs of water supply avoided by forest conservation. We use the process-based hydrological Soil and Water Assessment Tool (SWAT) to simulate the role of woody habitats in the regulation of hydrological flow and sediment control. We find that the forests and woodlands play a significant role in regulating sediment load in rivers and reducing peak flows, with implications for the water supply from the Ruvu River to Dar es Salaam and Morogoro. A cost-based value assessment under water treatment works conditions up to 2016 suggests that water supply failure due to deforestation would cost Dar es Salaam USD 4.6-17.6 million per year and Morogoro USD 308 thousand per year. Stronger enforcement of forest and woodland protection in Tanzania must balance water policy objectives and food security

Local costs of conservation exceed those borne by the global majority

Cost data are crucial in conservation planning to identify more efficient and equitable land use options. However, many studies focus on just one cost type and neglect others, particularly those borne locally. We develop, for a high priority conservation area, spatial models of two local costs that arise from protected areas: foregone agricultural opportunities and increased wildlife damage. We then map these across the study area and compare them to the direct costs of reserve management, finding that local costs exceed management costs. Whilst benefits of conservation accrue to the global community, significant costs are borne by those living closest. Where livelihoods depend upon opportunities forgone or diminished by conservation intervention, outcomes are limited. Activities can be displaced (leakage); rules can be broken (intervention does not work); or the intervention forces a shift in livelihood profiles (potentially to the detriment of local peoples’ welfare). These raise concerns for both conservation and development outcomes and timely consideration of local costs is vital in conservation planning tools and processes

Quantifying and valuing carbon flows and stores in coastal and shelf ecosystems in the UK

Evidence shows that habitats with potential to mitigate against greenhouse gases emissions, by taking up and storing CO2, are being lost due to the effects of on-going human activities and climate change. The carbon storage by terrestrial habitats (e.g. tropical forests) and the role of coastal habitats (‘Blue Carbon’) as carbon storage sinks is well recognised. Offshore shelf sediments are also a manageable carbon store, covering ∼9% of global marine area, but not currently protected by international agreements to enable their conservation. Through a scenario analysis, we explore the economic value of the damage of human activities and climate change can inflict on UK marine habitats, including shelf sea sediments. In a scenario of increased human and climate pressures over a 25-year period, we estimate damage costs up to US$12.5 billion from carbon release linked to disturbance of coastal and shelf sea sediment carbon stores. It may be possible to manage socio-economic pressure to maintain sedimentary carbon storage, but the trade-offs with other global social welfare benefits such as food security will have to be taken into account. To develop effective incentive mechanisms to preserve these valuable coastal and marine ecosystems within a sustainability governance framework, robust evidence is required

TESSA: A toolkit for rapid assessment of ecosystem services at sites of biodiversity conservation importance

Sites that are important for biodiversity conservation can also provide significant benefits (i.e. ecosystem services) to people. Decision-makers need to know how change to a site, whether development or restoration, would affect the delivery of services and the distribution of any benefits among stakeholders. However, there are relatively few empirical studies that present this information. One reason is the lack of appropriate methods and tools for ecosystem service assessment that do not require substantial resources or specialist technical knowledge, or rely heavily upon existing data. Here we address this gap by describing the Toolkit for Ecosystem Service Site-based Assessment (TESSA). It guides local non-specialists through a selection of relatively accessible methods for identifying which ecosystem services may be important at a site, and for evaluating the magnitude of benefits that people obtain from them currently, compared with those expected under alternative land-uses. The toolkit recommends use of existing data where appropriate and places emphasis on enabling users to collect new field data at relatively low cost and effort. By using TESSA, the users could also gain valuable information about the alternative land-uses; and data collected in the field could be incorporated into regular monitoring programmes

A priori postulated and real power in cluster randomized trials: mind the gap

BACKGROUND: Cluster randomization design is increasingly used for the evaluation of health-care, screening or educational interventions. The intraclass correlation coefficient (ICC) defines the clustering effect and be specified during planning. The aim of this work is to study the influence of the ICC on power in cluster randomized trials. METHODS: Power contour graphs were drawn to illustrate the loss in power induced by an underestimation of the ICC when planning trials. We also derived the maximum achievable power given a specified ICC. RESULTS: The magnitude of the ICC can have a major impact on power, and with low numbers of clusters, 80% power may not be achievable. CONCLUSION: Underestimating the ICC during planning cluster randomized trials can lead to a seriously underpowered trial. Publication of a priori postulated and a posteriori estimated ICCs is necessary for a more objective reading: negative trial results may be the consequence of a loss of power due to a mis-specification of the ICC