Public data archiving (PDA) is widely advocated as a means of achieving open data standards, leading to improved data preservation, increased scientific reproducibility, and transparency, as well as additional data use. Public data archiving was primarily conceived to archive data from short‐term, single‐purpose scientific studies. It is now more widely applied, including to large‐scale citizen science biodiversity recording and monitoring schemes which combine the efforts of volunteers with professional scientists. This may affect the financial security of such schemes by reducing income from data and analytical services. Communication between scheme organizers and researchers may be disrupted, reducing scientific quality and impeding scheme development. It may also have an impact on the participation of some volunteers. Synthesis and applications. In response to the challenges of public data archiving for citizen science biodiversity recording and monitoring schemes, the archive function of scheme organizations should be better recognized by those promoting open data principles. Increased financial support from the public sector or from commercial or academic data users may offset financial risk. Those in favour of public data archiving should do more to facilitate communication between nonscheme users and the originating schemes, while a more flexible approach to data archiving may be required to address potential impacts on volunteer participation.

This report was funded by the Bonneville Power Administration (BPA), U.S. Department of Energy, as part of BPA's program to protect, mitigate, and enhance fish and wildlife affected by the development and operation of hydroelectric facilities on the Columbia River and its tributaries. The views in this report are the author's and do not necessarily represent the views of BPA.

An understanding of the distribution and structure of discontinuous nearshore habitats is critical to effectively manage estuarine resources, especially migratory and mobile nekton that may depend on the integrity of shallow-water environments. We used 19-band compact airborne spectrographic imager (CASI) imagery, collected at 1.5 m spatial resolution, to map two cover classes of eelgrass (Zostera marina) and six other estuarine habitat classes along 64 km of the intertidal shoreline of Hood Canal in the Pacific Northwest, United States. We used control points derived from digital orthoquads (DOQ) and a differential global positioning system (GPS) to geometrically correct CASI flight lines to within 4.3-23.5 m root mean square error (RMSE). After unsupervised and supervised classification, we found good correspondence between classified eelgrass polygons and field training and ground-truthing data. Although this was not the focus of our habitat mapping, the same was true for most of the other habitat classes, except for oyster beds, which were difficult to separate from the wet sand-gravel-cobble class. We are encouraged by the ability of CASI to produce spatially accurate, high-resolution descriptions of intertidal habitat structure. Results from this study will become the foundation of a broader study to develop a quantitative index of essential habitat quality for migrating juvenile summer chum salmon (Oncorhynchus keta) in Hood Canal. When CASI image processing is complete, fisheries scientists-managers will be able to effectively evaluate estuarine landscape patterns at a spatial scale appropriate for migrating juvenile summer chum salmon.Résumé. Une connaissance de la distribution et de la structure des habitats côtiers discontinus est essentielle pour gérer efficacement les ressources estuariennes, spécialement les nectons migratoires et mobiles qui peuvent dépendre de l'intégrité des environnements en eau peu profonde. Nous avons utilisé des images à 19 bandes du capteur « compact airborne spectrographic imager » (CASI) acquises à une résolution spatiale de 1,5 m pour cartographier deux classes de couvert de zostères marines (Zostera marina) et six autres classes d'habitats estuariens sur une distance de 64 km le long de la zone intertidale du Canal Hood, dans le Pacific Northwest, aux États-Unis. Nous avons utilisé des points de contrôle dérivés des « digital orthoquads » (DOQ) et des données de système de positionnement global différentiel (GPS) pour corriger géométriquement les lignes de vol CASI en fonction d'une erreur quadratique moyenne (RMSE) réduite variant de 4,3-23,5 m. Après l'application d'une classification non dirigée et dirigée, nous avons trouvé une bonne correspondance entre les polygones classifiés de zostères marines et les données d'échantillonnage et de réalité de terrain acquises au sol. Même si cela ne constituait pas l'objet de notre cartographie des habitats, cette même observation s'appliquait également à la majorité des autres classes d'habitats, à l'exception des bancs d'huîtr...

No abstract

No abstract