It’s with great pleasure that I’m hosting this month’s webinar on February 28th about some of the most common discrete data management challenges. This topic comes up repeatedly in the field of environmental data management. Regardless of the size of your organization, I’m sure some of the challenges that we’re going to outline will resonate with you and your colleagues.
In the United States, the Endangered Species Act of 1973 (ESA) defines endangered species as “any species which is in danger of extinction throughout all or a significant portion of its range… “ and critical habitat as “the specific areas within the geographical area occupied by the species … on which are found those physical or biological features (I) essential to the conservation of the species and (II) which may require special management considerations or protection.” However, when the Endangered Species Act talks about conservation it refers to instruments such as: “research, census, law enforcement, habitat acquisition and maintenance, propagation, live trapping, and transplantation …” Those instruments may have been the best available at the time but times have changed.
More funding for water monitoring is critically needed. In our 2012 Global Hydrological Monitoring Industry Survey, we asked over 750 water professionals about the adequacy of their monitoring network …the vast majority indicated that they would need to significantly increase the density of their network to fully meet their program goals.