Faculty of Mathematics and Natural Sciences - Biogeography

Faculty of Mathematics and Natural Sciences | Geography Department | Biogeography | News | Combining satellite data and agricultural statistics to map grassland management intensity in Europe

Combining satellite data and agricultural statistics to map grassland management intensity in Europe

 

Stephan Estel, Sebastian Mader, Christian Levers, Peter H. Verburg, Matthias Baumann, and Tobias Kuemmerle

 

Abstract: The world's grasslands, both natural and managed, provide food and many non-provisioning ecosystem services. Although most grasslands today are used for livestock grazing or fodder production, little is known about the spatial patterns of grassland management intensity, especially at broad geographic scales. Using the European Union as a case study, we mapped mowing frequency as a key indicator of grassland management intensity. We used MODIS NDVI time series from 2000–2012 to map mowing frequency using a spline-fitting algorithm that detects up to five mowing events within a single growing season. We combined mowing frequency maps with existing maps of livestock distribution and grassland management frequency to identify clusters of similar grassland management intensity across Europe. Our results highlight generally high mowing frequency in areas of high grassland productivity, especially in Ireland, northern and central France, and the Netherlands. Our analyses also show distinct clusters of similar grassland management, representing different grassland-management intensity regimes. High intensity clusters occurred particularly in western and southern Europe, especially in Ireland, in the northern and central parts of France and Spain, and the Netherlands but also in northern and southern Germany and eastern Poland. Low intensity clusters were found mainly in central and eastern Europe and in mountainous regions but also in Extremadura in Spain, Wales and western England (UK). Generally, our analyses emphasize the usefulness of jointly using satellite time series and agricultural statistics to monitor grassland intensity across broad geographic extents. Our maps allow for a new, spatially-detailed view of management intensity in grassland systems and may help to improve regionally targeted land-use and conservation policies.

 

Link to the manuscript: DOI: 10.1088/1748-9326/aacc7a

 

Citation:  Estel, S., Mader, S., Levers, C., Verburg P.H., Baumann, M., Kuemmerle, T., (2018) Combining satellite data and agricultural statistics to map grassland management intensity in Europe. Environ. Res. Lett. 13 (7), 74020

     

Estel Grassland Cluster