Landscape management practices (including forestry, agriculture, water management) and their impact on ecosystems have been mostly studied at small local spatial scales to support multifunctionality and sustainability of landscape. Translation to higher scales cannot be achieved by simple multiplying of the data from the stand or local scale by the larger area of the landscape. At the same time, it is evident that the forest alone influences the landscape and its other elements and vice versa. Thus, proper forest practices have a significant impact on economic, as well as environmental and social aspects at the landscape level. Forest resources management impacts on the larger landscape scale is insufficiently studied and understood. To achieve a sustainable landscape it requires precise data, reliable models and relevant decision systems.
This Conference will focus on presentation of recent research findings in:
New, progressive and innovative approaches and scientific achievements in terrestrial data gathering, remote sensing and data processing as a base of the landscape management
- Risk and uncertainty
Climate change brings many associated effects, which include increasing occurrence of extreme natural events and disturbances (such as storms, fires, droughts, damage caused by pests etc.). These factors are significantly affecting the landscape on the scale of forest and non-forest ecosystems.
- Modelling and assessment
Approaches for predicting landscape components, disturbances and landscape development are crucial for preparing and acceptance required decisions.
To build a bridge between science and practice is the prerequisite for development of an effective decision support system based on temporal and spatial optimization of landscape management supporting bioeconomy and ecosystem services and reflecting adaptive management.