Publikationsliste Prof. Dr. Benjamin Burkhard

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Perennes, M., Sylvie Campagne, C., Müller, F., Roche, P., & Burkhard, B. (2020). Refining the tiered approach for mapping and assessing ecosystem services at the local scale: A case study in a rural landscape in Northern Germany. Land, 9(10), [348].
Poikolainen, L., Pinto, G., Vihervaara, P., Burkhard, B., Wolff, F., Hyytiäinen, R., & Kumpula, T. (2020). GIS and land cover-based assessment of ecosystem services in the North Karelia Biosphere Reserve, Finland. Fennia, 197(2), 249-267.,
Rendon, P., Steinhoff-Knopp, B., Saggau, P., & Burkhard, B. F. (2020). Assessment of the relationships between agroecosystem condition and the ecosystem service soil erosion regulation in Northern Germany. PLoS ONE, 15(12), [e0234288].
Sieber, I. M., Campagne, C. S., & Burkhard, B. F. (2020). Mapping and assessment of the capacity of ecosystems in French Guiana to supply ecosystem services. ECOSEO Project Report.
Sieber, I. M., Burkhard, B. F., Santos-Martín, F., Hinsch, M., & Van Beukering, P. (2020). Scientific research on mapping and assessment of ecosystems and their services in the EU Overseas: Deliverable 3.1. MOVE project, European Commission Directorate General Environment Grant Agreement no. 07.027735/2018/776517/SUB/ENV.D2.
Van Liem, N., Van Bao, D., Bac, D. K., Cuong, N. C., Nga, P. T. P., Burkhard, B., & Chi, G. T. K. (2020). Assessment of shoreline changes for setback zone establishment from Son Tra (Da Nang city) to Cua Dai (Hoi An city), Vietnam. Vietnam Journal of Earth Sciences, 42(4), 363-383.


Bicking, S., Burkhard, B., Kruse, M., & Müller, F. (2019). Bayesian Belief Network-based assessment of nutrient regulating ecosystem services in Northern Germany. PLOS ONE, 14(4), [e0216053].,
Dang, K. B., Windhorst, W., Burkhard, B. F., & Müller, F. (2019). A Bayesian Belief Network: Based approach to link ecosystem functions with rice provisioning ecosystem services. Ecological indicators, 100, 30-44.
Dang, K. B., Burkhard, B., Windhorst, W., & Müller, F. (2019). Application of a hybrid neural-fuzzy inference system for mapping crop suitability areas and predicting rice yields. Environmental Modelling and Software, 114, 166-180.
Kreklow, J., Tetzlaff, B., Kuhnt, G., & Burkhard, B. (2019). A rainfall data intercomparison dataset of RADKLIM, RADOLAN, and rain gauge data for Germany. Data, 4(3), [118].,

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