SMIBe – Konzept eines softwarebasiertes Mehrebenen-Informationssystem für Behörden zur digitalen Erfassung und Evaluierung von beweidungsbezogenen AUKM

Sturm, Astrid and Schöttker, Oliver and Kadir, Karmand and Wätzold, Frank (2024): SMIBe – Konzept eines softwarebasiertes Mehrebenen-Informationssystem für Behörden zur digitalen Erfassung und Evaluierung von beweidungsbezogenen AUKM.

Abstract

We present the concept of a software-based multi-level information system for authorities (SMIBe) designed to digital evaluate agri-environmental and climate measures (AES) for grazing. SMIBe enables authorities to summarize key parameters of grazing AES and record them in SMIBe for further digital processing as well as export and share them with farmers. Farmers can submit their digital documentation to the authority after completing an AES measure, and thus feed the evidence into SMIBe in form of relevant documents and data individually authorized by the farmers (e.g. photos, satellite or drone data, sensor data from animal collars documenting compliance with AES specifications). SMIBe is an important interface for the processing and interpretation of animal movement data collected by new sensor technology.

• Item Type: MPRA Paper
• English Title: "SMIBe – Concept of a software-based multilevel information system for authorities to support digitalization and evaluation of grazing-related AES
• Language: German
• Keywords: Beweidung; Grünland; Weideproduktionssystem
• Subjects: Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q15 - Land Ownership and Tenure ; Land Reform ; Land Use ; Irrigation ; Agriculture and Environment; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q57 - Ecological Economics: Ecosystem Services ; Biodiversity Conservation ; Bioeconomics ; Industrial Ecology

References

[Ek18] Ekardt, F. et al.: Agriculture-related Climate Policies-Law and Governance Issues on the European and Global Level. CCLR, 316, 2018.

[Ha22] Hamidi, D. et al.: Heifers don't care: no evidence of negative impact on animal welfare of growing heifers when using virtual fences compared to physical fences for grazing. Animal 16 (9), 2022.

[HI22] Horn, J., Isselstein, J.: How do we feed grazing livestock in the future? A case for knowledge-driven grazing systems. Grass and Forage Science 77 (3), 2022.

[IK14] Isselstein, J., Kayser, M.: Functions of grassland and their potential in delivering ecosystem services. Grassland Science in Europe, 19, pp. 199-214, 2014.

[LLM20] Lunn, P. D., Lyons, S., & Murphy, M.: Predicting farms’ noncompliance with regulations on nitrate pollution. Journal of Environmental Planning and Management, 63(13), 2313-2333. 2020.

[Ma19] Mack, G., et al.: Determinants of the perceived administrative transaction costs caused by the uptake of an agri-environmental program. Journal of Environmental Planning and Management, 62(10), 1802-1819, 2019.

[Sc23] Schöttker, O., et al.: Monitoring costs of result-based payments for biodiversity conservation: Will UAV-assisted remote sensing be the game-changer? Journal for Nature Conservation (76) 126494, 2023.

[St18] Sturm, A., et.al.: DSS-Ecopay – A decision support software for designing ecologically effective and cost-effective agri-environment schemes to conserve endangered grassland biodiversity. Agric. Syst., 161, 113 – 116, 2018.

[St23] Sturm, A., et. al.: „Wann, wo und wie? Ein softwarebasiertes Mehrebenen Informationssystem zur Optimierung von Beweidungssystemen“ in – Proceedings Series of the Gesellschaft für Informatik (GI) Volume P-330 ISBN 978-3-88579-724-1 ISSN 1617-5468, 2023.

[SZ22] Stampa, E., Zander, K.: Backing biodiversity? German consumers’ views on a multi-level biodiversity-labeling scheme for beef from grazing-based production systems. Journal of Cleaner Production 370(10), 2022.

[Wa16] Wätzold, F., et al.: A Novel, Spatiotemporally Explicit Ecological‐economic Modeling Procedure for the Design of Cost‐effective Agri‐environment Schemes to Conserve Biodiversity. American Journal of Agricultural Economics, 98(2), 489-512, 2016.