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W.K. Michener

Publications and source records attributed to W.K. Michener.

3 recordsLinked to original sources

Drought responses of freshwater mussels (Unionidae) in coastal plain tributaries of the Flint River basin, Georgia

During extreme drought conditions, mussel survival and habitat conditions were monitored weekly at nine locations representing a gradient in stream size in the lower Flint River basin, Georgia, USA. Cumulative unionid mortality ranged from 13 to 93% among sites, and was associated with low flow velocity (below 0.01 m/s) and dissolved oxygen concentrations below 5 mg/L. Species assemblages demonstrated differential mortality under declining dissolved oxygen conditions. Riffle and medium-large stream mussel assemblages had greater mortality than generalist assemblages under reduced dissoloved oxygen (DO < 5 mg/L). Mussel community composition at medium-sized sites shifted toward greater dominance of generalist species and lower proportions of riffle and medium-large stream species. At other sites, community structure changed little, likely due to the dominance of drought-resilient species in small streams and less detrimental changes in stream habitat conditions in large streams. Low flow conditions and severe drought adversely affected mussel distributions and assemblages, particularly in high diversity, medium-sized streams.

Georgia

Managing troubled data: Coastal data partnerships smooth data integration

Understanding the ecology, condition, and changes of coastal areas requires data from many sources. Broad-scale and long-term ecological questions, such as global climate change, biodiversity, and cumulative impacts of human activities, must be addressed with databases that integrate data from several different research and monitoring programs. Various barriers, including widely differing data formats, codes, directories, systems, and metadata used by individual programs, make such integration troublesome. Coastal data partnerships, by helping overcome technical, social, and organizational barriers, can lead to a better understanding of environmental issues, and may enable better management decisions. Characteristics of successful data partnerships include a common need for shared data, strong collaborative leadership, committed partners willing to invest in the partnership, and clear agreements on data standards and data policy. Emerging data and metadata standards that become widely accepted are crucial. New information technology is making it easier to exchange and integrate data. Data partnerships allow us to create broader databases than would be possible for any one organization to create by itself.

Environmental Monitoring and Assessment