What information is needed for upscaling grassland ecosystem services to landscape scale?
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Date
2024
Publication Type
Conference Paper
ETH Bibliography
yes
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Abstract
Field measurements of ecosystem services (ES) are laborious and costly, so ES cannot be measured at larger spatial scales. Therefore, ES are upscaled from local measurements to a whole region, based on a restricted number of field-scale measurements combined with environmental and management predictors available for the whole region of interest. The data available to estimate ES are decisive for the quality of the resulting ES maps and the robustness of the conclusions that can be drawn. We present two ES measured in 92 grasslands and determine how well these can be upscaled using different data sources. We developed stepwise models using (i) field-scale agricultural census data, (ii) topographic characteristics, (iii) soil maps, (iv) soil measurement data, (v) detailed management data, and (vi) plant community information. Resulting models reveal forage protein content to be already well predicted by agricultural census data, but for soil carbon stocks considerably more information was needed for a reliable prediction. The explained variance (R2) of the final models ranges from 0.61 to 0.74, showing a good fit but also considerable uncertainty associated with ES maps, despite the vast data used for the final predictions.
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Publication status
published
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Book title
Why grasslands? Proceedings of the 30th General Meeting of the European Grassland Federation
Journal / series
Volume
29
Pages / Article No.
546 - 549
Publisher
The Organising Committee of the 30th General Meeting of the European Grassland Federation
Event
30th General Meeting of the European Grassland Federation (EFG 2024)
Edition / version
Methods
Software
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Date collected
Date created
Subject
Ecosystem services; Management; Protein content; Soil carbon stocks; Upscaling
Organisational unit
03648 - Buchmann, Nina / Buchmann, Nina