ABSTRACT. Indigenous peoples of North America, Australia, and New Zealand have a long tradition of harvesting freshwater animals. Over generations of reliance and subsistence harvesting, Indigenous peoples have acquired a profound understanding of these freshwater animals and ecosystems that have become embedded within their cultural identity. We have identified trans-Pacific parallels in the cultural significance of several freshwater animal groups, such as eels, other finfish, bivalves, and crayfish, to Indigenous peoples and their understanding and respect for the freshwater ecosystems on which their community survival depends. In recognizing such cultural connections, we found that non-Indigenous peoples can appreciate the deep significance of freshwater animals to Indigenous peoples and integrate Indigenous stewardship and Indigenous ecological knowledge into effective comanagement strategies for sustainable freshwater fisheries, such as Indigenous rangers, research partnerships, and Indigenous Protected Areas. Given that many of these culturally significant freshwater species also play key ecological roles in freshwater ecosystems, their recognition and prioritization in management and monitoring approaches should help sustain the health and well-being of both the social and ecological components of freshwater ecosystems.

Irrigated agriculture and inland fisheries both make important contributions to food security, nutrition, livelihoods and wellbeing. Typically, in modern irrigation systems, these components operate independently. Some practices, commonly associated with water use and intensification of crop production can be in direct conflict with and have adverse effects on fisheries. Food security objectives may be compromised if fish are not considered in the design phases of irrigation systems. The 2030 Agenda for Sustainable Development provides a framework that can serve as a backdrop to help integrate both sectors in policy discussions and optimise their contributions to achieving the Sustainable Development Goals (SDGs). Inland fisheries systems do play an important role in supporting many SDG objectives, but these contributions can sometimes be at odds with irrigated agriculture. Using case studies of two globally important river catchments, namely the Lower Mekong and Murray–Darling basins, we highlight the conflicts and opportunities for improved outcomes between irrigated agriculture and inland fisheries. We explore SDG 2 (Zero Hunger) as a path to advance our irrigation systems as a means to benefit both agriculture and inland fisheries, preserving biodiversity and enhancing the economic, environmental and social benefits they both provide to people.2

Investigators have been shown to be prone to accessing information that confirms their preferred hypothesis. This tendency has been termed hypothesis confirmation. Hypothesis confirmation behaviour was explored in two studies using a computer administered simulation of a murder investigation. In Study 1, hypothesis confirmation behaviour did not differentiate successful and unsuccessful participants. However, unsuccessful participants stored more confirmatory information than non‐confirmatory information. Successful participants did not show this pattern. In Study 2, unsuccessful participants tended to settle early on a suspect and then acquired information that supported their decision. Successful participants tended to consider a number of suspects for longer and accessed a greater diversity of information. Taken together, these findings are highly suggestive of the role of information acquisition as an important component of hypothesis confirmatory behaviour, which is associated with unsuccessful information processing in the context of a simulated murder investigation. Implications for practice are presented. Copyright © 2012 John Wiley & Sons, Ltd.

In order to understand analytic processes in organisations, better tools are required to trace decision processes. An impediment to progress in this area has been the tendency to over-simplify inherently complex information environments or the data that they produce. We address this issue by providing worked examples from the Analysis Simulation Project (ASP). ASP methodology consists of a computer-administered information grid of 64 cells of 50-130 words each. The information accessing activity of participants is recorded. Our results present novel approaches to maintaining optimal complexity in environmental representation and data analysis. Specifically we demonstrate how computer-mediated process tracing methods can simulate the cognitive experience of complexity and how the data can be used to examine behaviour at increasing levels of complexity. We conclude that computer-mediated process-tracing tools provide an opportunity to comprehensively model www.ccsenet.org/ijps International Journal of Psychological Studies Vol. 4, No. 1; March 2012 Published by Canadian Center of Science and Education 159 complex information processing behaviour and therefore allow improved insight into phenomena with similar outcomes but distinct processes.

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