IAN is committed to producing practical, user-centered communications that foster a better understanding of science and enable readers to pursue new opportunities in research, education, and environmental problem-solving. Our publications synthesize scientific findings using effective science communication techniques.

Data synthesis for environmental management: A case study of Chesapeake Bay (Page 1)

Data synthesis for environmental management: A case study of Chesapeake Bay

Orth RJ, Dennison WC, Wilcox DJ, Batiuk RA, Landry JB, Gurbisz C, Keisman J, Hannam M, Lefcheck JS, Murphy RR, Moore KA, Patrick CJ, Testa JM, Weller DE, Merrittj MF, Hobaugh P ·
2022

Synthesizing large, complex data sets to inform resource managers towards effective environmental stewardship is a universal challenge. In Chesapeake Bay, a well-studied and intensively monitored estuary in North America, the challenge of synthesizing data on water quality and land use as factors related to a key habitat, submerged aquatic vegetation, was tackled by a team of scientists and resource managers operating at multiple levels of governance (state, federal).

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