Ecological Modeling

Elsevier, Geography and Sustainability, Volume 1, December 2020
The Baltic Sea is essential for marine ecosystem services (MES) provision and the region's socio-economic dynamics. It is considered one of the busiest and most polluted regional seas in Europe. In recent years a collective effort in enforcing European and regional environmental policies and directives (e.g. Water Framework Directive 2000/60/EC, 2000; Marine Strategy Framework Directive 2008/56/EC, 2008; Maritime Spatial Planning Directive 2014/89/EU, 2014) has been carried out. Ecosystem Services assessment and mapping is integrated into these directives.
In the face of the growing challenges brought about by human activities, effective planning and decision-making in biodiversity and ecosystem conservation, restoration, and sustainable development are urgently needed. Ecological models can play a key role in supporting this need and helping to safeguard the natural assets that underpin human wellbeing and support life on land and below water (United Nations Sustainable Development Goals; SDG 15 & 14).
Megacities contain at least 10 million people whose wellbeing largely depends on ecosystem services provided by remote natural areas. What is, however, most often disregarded is that nature conservation in the city can also contribute to human wellbeing benefits. The most common mind set separates cities from the rest of nature, as if they were not special kinds of natural habitats.
Among the tools used to measure sustainability in aquaculture, sets of indicators allow a holistic view of a system in its social, environmental, and economic dimensions. Approaches that align indicators with models such as the Drivers-Pressure-State-Impact-Response (DPSIR) framework can improve understanding of this sustainability. This study evaluated the sustainability of cage production systems for Nile tilapia in the Santa Cruz Reservoir, to determine whether a set of indicators used with the DPSIR conceptual model was effective to study the sustainability of the system.