Indicators of river system hydromorphological character and dynamics: understanding current conditions and guiding sustainable river management

The work leading to this paper received funding from the EU’s FP7 programme under Grant Agreement No. 282656 (REFORM). The Indicators were developed within the context of REFORM deliverable D2.1, therefore all partners involved in this deliverable contributed to some extent to their discussion and development

What is the value of a good map ? An example using high spatial resolution imagery to aid riparian restoration

Riparian areas contain structurally diverse habitats that are challenging to monitor routinely and accurately over broad areas. As the structural variability within riparian areas is often indiscernible using moderate-scale satellite imagery, new mapping techniques are needed. We used high spatial resolution satellite imagery from the QuickBird satellite to map harvested and intact forests in coastal British Columbia, Canada. We distinguished forest structural classes used in riparian restoration planning, each with different restoration costs. To assess the accuracy of high spatial resolution imagery relative to coarser imagery, we coarsened the pixel resolution of the image, repeated the classifications, and compared results. Accuracy assessments produced individual class accuracies ranging from 70 to 90% for most classes; whilst accuracies obtained using coarser scale imagery were lower. We also examined the implications of map error on riparian restoration budgets derived from our classified maps. To do so, we modified the confusion matrix to create a cost error matrix quantifying costs associated with misclassification. High spatial resolution satellite imagery can be useful for riparian mapping; however, errors in restoration budgets attributable to misclassification error can be significant, even when using highly accurate maps. As the spatial resolution of imagery increases, it will be used more routinely in ecosystem ecology. Thus, our ability to evaluate map accuracy in practical, meaningful ways must develop further. The cost error matrix is one method that can be adapted for conservation and planning decisions in many ecosystems

The social geometry of collaborative flood risk management: a hydrosocial case study of Tillamook County, Oregon

Coastal and riparian flooding are costly and disruptive natural hazards and already a regular part of life in some areas of the USA. Flooding events caused by sea-level rise and climate change are expected to increase in frequency and severity in the future, creating social, ecological, and economic problems at local, city, state, and federal levels. It is clear that normative, infrastructure-oriented, and strictly hydrological solutions to flooding have not appropriately met these challenges, nor have they adequately addressed relevant socio-political factors which shape hydrological processes. Using the case study of Tillamook County, this study draws upon qualitative interview data to identify and explain social factors which have influenced the outcome of a collaborative, socially engaged flood management project. These include previous flood experience; emotions and feelings; interests and concerns; preferred management strategies; barriers to community-scientific engagement; and perceptions of a mediation process. This situation is further explored within the framework of social geometry, which is used to explain changes in social position and relationships through an interactive, collaborative process. In this case, mediation is shown to decrease both relational space and differences in status between the two primary actor groups, leading to mutually agreeable outcomes but not without dispute. Flood managers and researchers may find this case study useful when analyzing qualitative data related to flood risk management, and/or planning flood management strategies, particularly in disaster-prone regions