Progressing from multidisciplinary to interdisciplinary restoration science: monitoring and applied studies on the Nisqually River Delta

Restoration science is often described as an ultimate test of ecological theory; assessing the value of restoration actions is challenged by difficulties in measuring complex interactions between restored physical processes and the response of biological resources. Yet, demonstrating the value of restoration is a key to sustaining future public investment, especially in light of uncertainty of future climate change effects. At the Nisqually River Delta, a restoration partnership between the U. S. Fish and Wildlife Service Nisqually National Wildlife Refuge (Refuge), the Nisqually Indian Tribe (Tribe), and Ducks Unlimited culminated in re-established tidal flow to 360 ha of historic floodplain and delta representing the largest estuarine restoration in the Pacific Northwest. Restoration of this large delta was expected to result in a substantial improvement in ecological functions and services in southern Puget Sound. The goal of our scientific team, led by the U. S. Geological Survey (USGS) for the project partners, was to assess the biophysical response to restoration. Science objectives were built into a monitoring framework to include hydrodynamics, geomorphology, sedimentation and nearshore processes with vegetation, invertebrate food resources, waterbird, and fisheries. Our science partners included the U. S. Geological Survey, Refuge, Tribe, non-governmental organizations, and universities representing several disciplines. Funding the science was challenging, since as with most wetland restoration projects, adequate funds are rarely included in costs. Instead, the managers and scientists worked together to raise funds through special funds and competitive grants including addressing climate change. With this funding model, a major challenge for the team was communicating and sustaining a vision to make separate multidisciplinary efforts into unified interdisciplinary science. Here, we use lessons learned from early results of the Nisqually River Delta restoration to discuss restoration science in planning processes, funding costs and approaches, monitoring versus applied studies, and advancing interdisciplinary findings from multidisciplinary efforts

Assessing year‐round habitat use by migratory sea ducks in a multi‐species context reveals seasonal variation in habitat selection and partitioning

Long-distance migration presents complex conservation challenges, and migratory species often experience shortfalls in conservation due to the difficulty of identifying important locations and resources throughout the annual cycle. In order to prioritize habitats for conservation of migratory wildlife, it is necessary to understand how habitat needs change throughout the annual cycle, as well as to identify key habitat sites and features that concentrate large numbers of individuals and species. Among long-distance migrants, sea ducks have particularly complex migratory patterns, which often include distinct post-breeding molt sites as well as breeding, staging and wintering locations. Using a large set of individual tracking data (n = 476 individuals) from five species of sea ducks in eastern North America, we evaluated multi-species habitat suitability and partitioning across the breeding, post-breeding migration and molt, wintering and pre-breeding migration seasons. During breeding, species generally occupied distinct habitat areas, with the highest levels of multi-species overlap occurring in the Barrenlands west of Hudson Bay. Species generally preferred flatter areas closer to lakes with lower maximum temperatures relative to average conditions, but varied in distance to shore, elevation and precipitation. During non-breeding, species overlapped extensively during winter but diverged during migration. All species preferred shallow-water, nearshore habitats with high productivity, but varied in their relationships to salinity, temperature and bottom slope. Sea ducks selected most strongly for preferred habitats during post-breeding migration, with high partitioning among species; however, both selection and partitioning were weaker during pre-breeding migration. The addition of tidal current velocity, aquatic vegetation presence and bottom substrate improved non-breeding habitat models where available. Our results highlight the utility of multi-species, annual-cycle habitat assessments in identifying key habitat features and periods of vulnerability in order to optimize conservation strategies for migratory wildlife