A Landscape Ecological Framework for Adaptive Management of the Chorokhi Delta

Abstract

The Chorokhi River Delta is a dynamic socio-ecological system on the eastern Black Sea coast, where river discharge, sediment transport and coastal dynamics interact with human pressures. Environmental assessment requires an approach that connects habitat configuration with ecological functioning and management decisions. This paper interprets the landscape ecological model and conceptual framework developed within the CARE SEA project and examines applications to monitoring and adaptive management.

The study uses qualitative synthesis of the project report and scientific literature. It distinguishes information describing the delta from hypothesized causal relationships and proposed management measures. Spatial components represent river channels, floodplains, wetlands, freshwater ponds, reed beds, alluvial forests and coastal habitats. Functional components organize six domains: natural drivers, anthropogenic pressures, ecological processes, ecosystem state, ecosystem services and management responses. Climate variability, upper catchment conditions, Black Sea dynamics and socioeconomic development provide the context.

The synthesis develops five testable hypotheses concerning flood-related litter transport, pond exchange and nutrients, sediment-associated contamination, infrastructure effects on connectivity, and habitat recovery. A hypothesis matrix links each mechanism to observable comparisons, competing explanations and conditional management decisions. This operational interpretation extends the descriptive project report without claiming a new general theory. Ecosystem services remain potential benefits; their identification does not establish local quantities or values.

Management implications concern coordinated monitoring between Georgia and Türkiye, pollution prevention, protection of habitat connectivity and assessment of restoration outcomes. Citizen science can complement professional observations when training, documentation and data verification are established. Adaptive management is expressed through repeated assessment, shared interpretation and adjustment of interventions rather than through a final response stage.

The framework is qualitative and unvalidated. It reports no new pollutant measurements, statistical tests or quantified restoration effects. Its contribution is to make observation requirements and decision conditions explicit. Development requires georeferenced habitat data, seasonal and event-related observations, laboratory confirmation of suspected microplastics and evaluation of ecological responses. Empirical testing is required to assess both the proposed relationships and the framework’s usefulness for management. Consequently, the framework provides a transparent basis for selecting observations, documenting uncertainty and reviewing interventions while preserving the distinction between plausible ecological mechanisms and demonstrated outcomes.