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Oceanographic & Climate Data-Models

 
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A regional-scale ecological risk assessment can be defined as a summary of the complex interactions and effects of chemical and non-chemical stressors on ecological endpoints. Regional ecological risk assessment looks at a spatial scale that encompasses multiple habitats with multiple sources of stressors affecting multiple endpoints, with the characteristics of the region affecting the risk estimate.

Physiologists and ecologists have long been interested in the effects of physical parameters (e.g. temperature, salinity, rainfall) on organisms and their interactions. Interdisciplinary scientific fields, including conservation physiology and mechanistic ecological forecasting, have recently emerged as means of integrating detailed biochemical and physiological responses into the broader question of ecological and evolutionary responses to global climate change.


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As climate change effects differ both spatially and temporally, the mapping of oceanographic and climatological characteristics of marine microhabitats is essential. As they are expected to substantially differ, then we can characterize locations by high environmental risk for bivalve species. Also, satellite Remote Sensing observations and hydrodynamic models, along with oceanographic data, will help to refine our understanding of where and how climate change will impact bivalve habitats along the Greek coastline.

Moreover, with the application of Remote Sensing coupled with extensive ground-based measurements of weathers and climate datasets, bivalves' physiology could be explored in large-scale marine areas by integrating information on physiological function with knowledge of temporal and spatial patterns in the biophysical system. Understanding coastal habitats can allow industry regulators and special interest groups to come together to make more comprehensive planning decisions regarding the selection of new farming sites.


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