An Integrated Modelling Framework for the Forest-based Bioeconomy

Sarah MubarekaGeospatial Semantic Array Programming, Original, Uncategorized

This paper describes the conceptual design of a regional modelling framework to assess scenarios for the forest-based bioeconomy. The framework consists of a core set of tools: a partial equilibrium model for the forest sector, a forestry dynamics model for forest growth and harvest, and a wood resources balance sheet. The framework can be expanded to include an energy model, a landuse model and a forest-owner decision model.

Estimating the Effects of Water-Induced Shallow Landslides on Soil Erosion

EarthzineGeospatial Semantic Array Programming

This paper proposes a semi-quantitative integrated methodology for a robust assessment of soil erosion rates in data-poor regions affected by landslide activity. It combines heuristic, empirical and probabilistic approaches. The architecture might contribute as a novel component to simplify future integrated analyses of the potential impact of wildfires or vegetation types and distributions on sediment transport from water-induced landslides and erosion.

Applying Geospatial Semantic Array Programming for a Reproducible Set of Bioclimatic Indices in Europe

Ohno DesignGeospatial Semantic Array Programming

Bioclimate-driven regression analysis is a widely used approach for modelling ecological niches and zonation. Although the bioclimatic complexity of the European continent is high, a particular combination of 12 climatic and topographic covariates was recently found able to reliably reproduce the ecological zoning of the Food and Agriculture Organization of the United Nations (FAO) for forest resources assessment at pan-European scale, generating the first fuzzy similarity map of FAO ecozones in Europe.

Predicting Future Forest Ranges Using Array-based Geospatial Semantic Modelling

EarthzineGeospatial Semantic Array Programming, Original, Themed Articles

Studying the impacts of climate change requires looking at ranges of variables that transect a broad range of sectors. Geospatial Semantic Array Programming (GeoSemAP) offers the potential to help create a cross-discipline vocabulary for discussing data and processes used in geospatial studies. Within this field, the PESETA II project offers an example of how GeoSemAPs can be used to address the ecological challenges associated with a shifting climate.