In order to assess the global impacts of land use on the environment and help provide appropriate countermeasures, a group of researchers under the leadership of the Helmholtz Centre for Environmental Research (UFZ) has created a new world map of land use systems. Based on various indicators of land-use intensity, climate, environmental and socio-economic conditions, they identified twelve global patterns called land system archetypes. The scientists from UFZ with colleagues from the Humboldt-University Berlin and University Bonn have recently published their results in the journal Global Environmental Change.
Land use changes come in various forms: maize fields replace meadows and grasslands, tropical forests are cleared for pastures, steppes become cropland. The reasons are complex, the impacts are immense: animal and plant communities change, ecosystem functions disappear, carbon emissions contribute to climate change. Whatever happens regionally has global consequences. In order to better assess these impacts and help provide effective countermeasures, the researchers from UFZ created a world map that identifies twelve global land-use systems, also called archetypes. These include barren lands in the developing world, pastoral systems or extensive cropping systems. Germany, for instance, together with most of the Western Europe, Eastern USA and Eastern Australia represents the ‘intensive cropping system’ that covers about 5% of the terrestrial Earth surface. This system is characterised by high density of cropland, high inputs of nitrogen fertilisers, temperate climate, high crop yields, large capital investments in the agricultural sector, low proportion of GDP originating from agriculture and good access to market places.
Figure: Overview of land system archetypes, summarizing major land-use intensity indicators (A), environmental conditions (B) and socioeconomic factors (C) that best characterize each archetype. The + and – signs show whether the factor is above or below global average (+ is up to 1 s.d., ++ is 1–2 s.d., +++ is > 2 s.d.); the ↑ and ↓ signs signify increasing/decreasing trends within the last 50 years; the numbers represent percentages of terrestrial land coverage. The spatial position in this self-organizing map indicates similarity among land system indicators.
What is novel about this research is the fact that the scientists analyzed significantly more data and indicators than what is common in similar studies. In contrast to traditional models of land use, over 30 factors with more than one million data points were processed. “For example, we didn’t know before which regions had an unfulfilled potential for agricultural intensification given the environmental and socio-economic conditions, or in which regions the maximum agricultural yields were already achieved”, says Tomáš Václavík, a scientist and leading author from UFZ. The information that was usually hidden behind the complexity of data is now revealed. “If we had analysed only the environmental indicators, we could not identify where viable opportunities for yield improvements exist”.
Factors characterizing land systems
This new analysis also shows a different picture of land use than scientists had before. China, for example, belongs to five
different archetypes. “It was surprising to see that the intensity and type of land use in some regions of China was quite similar to the situation
in Western Europe or the United States. Thus, parts of China, together with particular regions of India and, of course, large areas of Europe, were
assigned to the ‘intensive cropping systems’ archetype”, says Tomáš Václavík.
According to the co-author and the head of the Department of Computational Landscape Ecology at UFZ Leipzig, Prof. Ralf Seppelt, this representation of land systems is useful also because we can now provide science-based policy recommendations for regions in certain land-use types on how to avoid negative consequences of land use. This can be easily explained with examples from Latin America and Southeast Asia: many areas in these regions are classified as ‘degraded forest/cropland systems in the tropics’ characterized by extremely high soil erosion. Because the socio-economic data show that agriculture plays an important role in the national economy of the local countries, it is essential to develop and apply erosion control measures for these regions. Only then the agricultural yields could increase without negatively affecting the environment. In other land systems the situation is quite different. The extensive cropping systems of Eastern Europe or India still have a high potential to increase the agricultural yields. Such opportunities, however, are largely exhausted in the intensive cropping systems of Western Europe and the USA.
This study is a product of the scientific coordination project GLUES (Global Assessment of Land Use Dynamics, Greenhouse Gas Emissions and Ecosystem Services), which is a part of the Sustainable Land Management research program funded by the German Federal Ministry of Education and Research. In this program, international research teams investigate land use changes in twelve regions worldwide. The GLUES team not only links the regional projects and communicates their results to the public and the scientific community, but it also conducts research in the area of scientific synthesis as in the current study. For Ralf Seppelt, the leader of the GLUES project, the land system archetypes thus represent an important achievement: “They help us understand the interactions between human activities on the one hand and social and environmental changes on the other.”
Land system archetypes
|Detailled information are available in the following publication:
Vaclavik, T., Lautenbach, S., Kuemmerle, T., Seppelt, R. (2013): Mapping global land system archetypes. Global Environmental Change 23(6): 1637-1647.
Online available: October 9, 2013, DOI: 10.1016/j.gloenvcha.2013.09.004.
Analysis results are available as GeoTiff images, WMS service or compressed ESRI Grids (UFZ Download page).
Detailled information about Land system archetype datasets and web services are available in the GLUES Metadata catalog.