Victor Maus & Stefan Giljum
In this Brief, we discuss the potentials of remote sensing data to analyse spatiotemporal patterns of resource extraction and impacts and present examples from the agricultural and mining sectors.
Nikolas Kuschnig & Stefan Giljum
This Brief analyses the drivers of deforestation in the state of Mato Grosso, Brazil. We find significant spatial dependence in deforestation processes and identify croplands, cattle density and dry climate as the most important drivers.
Hanspeter Wieland & Stefan Giljum This Brief presents the FINEPRINT approach to model the highly globalised and constantly expanding global iron and steel flows based on trade-linked physical input-output tables.
Sebastian Luckeneder, Stefan Giljum & Tamas Krisztin
Evidence from 72 regions in Mexico, Peru and Chile over the period of 2008-2015 indicates no general positive stimulus of mining activities on regional economic growth.
Martin Bruckner, Tiina Häyhä, Stefan Giljum, Victor Maus, Günther Fischer, Sylvia Tramberend & Jan Börner
A rapidly growing share of global agricultural areas is devoted to the production of biomass for non-food purposes. The EU plays a major role as a processing and consuming region of cropland-based non-food products while at the same time relying heavily on imports.
Sebastian Luckeneder, Mirko Lieber & Stefan Giljum
Sub-national mining data from different sources is not fully consistent. In this Brief, we analyse these inconsistencies using example data sets for the case of Peru and introduce measures how to overcome them.
Martin Bruckner & Stefan Giljum
This Brief introduces FABIO, a new model that analyses biomass flows and embodied land along global supply chains in 191 countries, covering 130 agriculture and food products in physical and more than 50 industrial products in monetary terms over the last three decades.
Mirko Lieber, Sebastian Luckeneder & Stefan Giljum
For creating raw material extraction maps with world-wide coverage, extraction data from different and often highly heterogeneous sources is used. In this Brief, we describe our methodological approach to achieve highest possible data consistency when elaborating global mining maps.
Victor Maus, Nikolas Kuschnig & Stefan Giljum
With the ongoing reproducibility crisis casting doubts on scientific findings, we follow strict transparency and reproducibility in the FINEPRINT project, applying state-of-the-art, open tools and best practice research guidelines.