The best and summed solutions for all scenarios were mapped but are not shown here. ArcGIS was used to identify the per cent of overlap between the six human use sectors and one example solution from an ecological Marxan scenario. The scenario with the Project Team medium targets and medium clump size was chosen for this overlap analysis because it illustrates

a middle-of-the-road scenario. For each of the human use sectors, the combined footprint of all uses within each sector was used. Some caveats regarding the footprint data are that they only reflect the mapped footprint (which may or may not represent the most current footprint), and not the relative importance for any particular human use. 110 biophysical datasets were collated and refined, where applicable, to create 200 features, many of which were targeted by class or region in the Marxan analyses (see Supplementary Table 1). EX 527 ic50 Reports from each of the workshops were posted online (http://www.bcmca.ca/document-library/). Once the datasets were collated into the recommended features, the features were reviewed by experts. Features, and reviewer comments for each feature, can be found in the online data library (http://www.bcmca.ca/data/). click here Seventy-eight human use datasets were collated and refined where applicable (see Supplementary Table 2). These datasets were identified through the process described in

Section 2.1 above. Once the datasets were collated into features for each human use sector, members of the human use data working Acetophenone group were provided an opportunity to review relevant features. The purpose of the review was threefold; to identify deficiencies in the data, to identify missing or proprietary data, and to record concerns about use of

the data. In some cases features and descriptions drafted for atlas facing pages were circulated to other experts (i.e. people who partake in those uses) for further review; in others (i.e. tenures) no review was undertaken as the data were generally considered accurate. Features, and reviewer comments for each feature or human use, can be found in the online data library (http://www.bcmca.ca/data/). Low, medium and high values for ecological targets were identified from the ranges recommended at expert workshops (as described in Section 2.2.1) (see Supplementary Table 1). For the Project Team scenarios, features were split into two categories: representational (i.e., whether the feature represents an ecosystem or species) or special (i.e., higher target warranted if a species has been listed as endangered or threatened, for example, Fig. 1). Representational features were assigned low, medium and high targets of 10, 20 and 30% while special features were assigned targets of 20, 40 and 60%. The Project Team also considered using the footprint – spatial extent – of a feature to determine targets (i.e.