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.

Publication status

published

External links

Book title

Why grasslands? Proceedings of the 30th General Meeting of the European Grassland Federation

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

Geographic location

Date collected

Date created

Subject

Ecosystem services; Management; Protein content; Soil carbon stocks; Upscaling

Organisational unit

03648 - Buchmann, Nina / Buchmann, Nina check_circle

Notes

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