Integrating science and management through collaborative learning and better information management

Achieving more sustainable land and water use depends on high-quality information and its improved use. In other words, better linkages are needed between science and management. Since many stakeholders with different relationships to the natural resources are inevitably involved, we suggest that collaborative learning environments and improved information management are prerequisites for integrating science and management. Case studies that deal with resource management issues are presented that illustrate the creation of collaborative learning environments through systems analyses with communities, and an integration of scientific and experiential knowledge of components of the system. This new knowledge needs to be captured and made accessible through innovative information management systems designed collaboratively with users, in forms which fit the users' 'mental models' of how their systems work. A model for linking science and resource management more effectively is suggested. This model entails systems thinking in a collaborative learning environment, and processes to help convergence of views and value systems, and make scientists and different kinds of managers aware of their interdependence. Adaptive management provides a mechanism for applying and refining scientists' and managers' knowledge. Copyright (C) 2003 John Wiley Sons, Ltd.

Practice challenges at the intersection of child protection and mental health

This paper examines the complexity of collaboration between child protection and mental health services, where a parent has a mental illness and there are protection concerns for children. The paper reports on data from focused in-depth interviews with 36 child protection workers, adult mental health workers and child and youth mental health workers. Data were analysed thematically, using NVivo to facilitate data management and analysis. Two dimensions were identified. The first, the process of collaboration, relates to four factors that assisted the collaborative process: communication, knowledge, role clarity and resources. The second dimension considers the challenges presented to collaborative work when a parent has a mental illness and a child is in need of protection, and identifies issues that are inherent in cases of this kind. Two types of challenge were identified. The first related to characteristics of mental illness, and included the episodic and/or unpredictable nature of mental illness, incorporating information from psychiatric and parenting capacity assessments, and the provision of ongoing support. The second type of challenge concerned the tension between the conflicting needs of parents and their children, and how this was viewed from both the adult mental health and the child protection perspective. Implications for policy and practice are identified in relation to the need for service models that provide ongoing, flexible support that can be intensified or held back as needed.

Mapping and characterising subtropical estuarine landscapes using aerial photography and GIS for potential application in wildlife conservation and management

Coarse-resolution thematic maps derived from remotely sensed data and implemented in GIS play an important role in coastal and marine conservation, research and management. Here, we describe an approach for fine-resolution mapping of land-cover types using aerial photography and ancillary GIs and ground data in a large (100 x 35 km) subtropical estuarine system (Moreton Bay, Queensland, Australia). We have developed and implemented a classification scheme representing 24 coastal (subtidal, intertidal. mangrove, supratidal and terrestrial) cover types relevant to the ecology of estuarine animals, nekton and shorebirds. The accuracy of classifications of the intertidal and subtidal cover types, as indicated by the agreement between the mapped (predicted) and reference (ground) data, was 77-88%, depending on the zone and level of generalization required. The variability and spatial distribution of habitat mosaics (landscape types) across the mapped environment were assessed using K-means clustering and validated with Classification and Regression Tree models. Seven broad landscape types could be distinguished and ways of incorporating the information on landscape composition into site-specific conservation and field research are discussed. This research illustrates the importance and potential applications of fine-resolution mapping for conservation and management of estuarine habitats and their terrestrial and aquatic wildlife. (c) 2005 Elsevier Ltd. All rights reserved.