Ecologists and natural resource managers struggle to define and relate biodiversity, biocomplexity, ecological integrity, ecosystem services, and related concepts; to describe effects of disturbance dynamics on biodiversity; and to understand how biodiversity relates to resilience, resistance, and stability of ecosystems and sustainability of resource conditions. Further diversifying this ‘‘lex...

A scientifically valid accuracy assessment of a large-area, land-cover map is expensive. Environmental monitoring programs offer a potential source of data to partially defray the cost of accuracy assessment while still maintaining the statistical validity. In this article, three general strategies for combining accuracy assessment and environmental monitoring protocols are described. These str...

This review explores the ecological and silvicultural impacts of ice storms on forests in the southern United States. Different environmental factors like weather conditions, topography, vegetation, stand density, and management practices influence the degree of glaze damage a particular forest may experience. Additionally, the frequent contradictions in the relationships between these factors ...

Conceptual models are a key element of environmental monitoring programs. They integrate current understanding of system dynamics, identify important processes, facilitate communication of complex interactions, and illustrate connections between indicators and ecological states or processes. Well-constructed conceptual models provide a scientific framework for the monitoring program and justifi...

Phytoplankton biomass within the Saginaw Bay ecosystem (Lake Huron, Michigan, USA) was characterized as a function of select physical/chemical indicators. The complexity and variability of ecological systems typically make it difficult to model the influences of anthropogenic stressors and/or natural disturbances. Here, Artificial Neural Networks (ANNs) were developed to model chlorophyll a con...