Development of a generalized pseudo-probabilistic approach for characterizing ecological conditions in estuaries using secondary data.

ABSTRACT: Under the best circumstances, achieving or sustaining optimum ecological conditions in estuaries is challenging. Persistent information gaps in estuarine data make it difficult to differentiate natural variability from potential regime shifts. Long-term monitoring is critical for tracking ecological change over time. In the United States (US), many resource management programs are working at maximum capacity to address existing state and federal water quality mandates (e.g., pollutant load limits, climate impact mitigation, and fisheries management) and have little room to expand routine sampling efforts to conduct periodic ecological baseline assessments, especially at state and local scales. Alternative design, monitoring, and assessment approaches are needed to help offset the burden of

SUBMITTER: Harwell LC 

PROVIDER: S-EPMC11271375 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature