Bridging the multiproject-management literature and design theory, we propose a model of multiproject lineage management (MPLM), which focuses on the key processes that drive exploration efforts and shape innovation trajectory.
Information management systems today exploit lineage in tasks ranging from data verification in curated databases to confidence computation in probabilistic databases.
For taxa of conservation concern, accurate identification of lineages may facilitate management efforts by focusing on distinct species, rather than ambiguous groups.
A smaller number still have complete metadata management, comprehensive data governance, and data lineage.
In a conservation context, uncovering historical lineages is essential for guiding management efforts, especially for species confined to single islands.
This work will allow for the correct identification and differentiation of the V. longisporum lineages which is important for disease management and enforcement of quarantine regulations.
It is also possible that our results are confounded by widespread stocking of Yellowstone cutthroat trout by management agencies prior to the recognition of unique lineages.
Uncertain data and data lineage are two important areas of data management that have been considered extensively in isolation, however many applications require the features in tandem.
Inbreeding effects, where present in the remaining lineages, are stochastic and unpredictable in a management context.
Historically, local communities were organized along clan lineages with a variety of collaborative resource management strategies and community support mechanisms.
○ California populations of fisher contain at least three genetically distinct maternal lineages, and their divergence likely predates modern land management practices.
