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A global synthesis and conceptualization of the magnitude and duration of soil carbon losses in response to forest disturbances
Mayer, M., Baltensweiler, A., James, J., Rigling, A., & Hagedorn, F. (2024). A global synthesis and conceptualization of the magnitude and duration of soil carbon losses in response to forest disturbances. Global Ecology and Biogeography, 33(1), 141-150. https://doi.org/10.1111/geb.13779
Slower growth prior to the 2018 drought and a high growth sensitivity to previous year summer conditions predisposed European beech to crown dieback
Neycken, A., Wohlgemuth, T., Frei, E. R., Klesse, S., Baltensweiler, A., & Lévesque, M. (2024). Slower growth prior to the 2018 drought and a high growth sensitivity to previous year summer conditions predisposed European beech to crown dieback. Science of the Total Environment, 912, 169068 (11 pp.). https://doi.org/10.1016/j.scitotenv.2023.169068
Microclimate mapping using novel radiative transfer modelling
Zellweger, F., Sulmoni, E., Malle, J. T., Baltensweiler, A., Jonas, T., Zimmermann, N. E., … Webster, C. (2024). Microclimate mapping using novel radiative transfer modelling. Biogeosciences, 21(2), 605-623. https://doi.org/10.5194/bg-21-605-2024
Countrywide classification of permanent grassland habitats at high spatial resolution
Huber, N., Ginzler, C., Pazur, R., Descombes, P., Baltensweiler, A., Ecker, K., … Price, B. (2023). Countrywide classification of permanent grassland habitats at high spatial resolution. Remote Sensing in Ecology and Conservation, 9(1), 133-151. https://doi.org/10.1002/rse2.298
Elevation dependent response of soil organic carbon stocks to forest windthrow
Mayer, M., Rusch, S., Didion, M., Baltensweiler, A., Walthert, L., Ranft, F., … Hagedorn, F. (2023). Elevation dependent response of soil organic carbon stocks to forest windthrow. Science of the Total Environment, 857, 159694 (9 pp.). https://doi.org/10.1016/j.scitotenv.2022.159694
Benefits of hierarchical predictions for digital soil mapping - an approach to map bimodal soil pH
Nussbaum, M., Zimmermann, S., Walthert, L., & Baltensweiler, A. (2023). Benefits of hierarchical predictions for digital soil mapping - an approach to map bimodal soil pH. Geoderma, 437, 116579 (11 pp.). https://doi.org/10.1016/j.geoderma.2023.116579
Abiotic factors predict taxonomic composition and genetic admixture in populations of hybridizing white oak species (<em>Quercus</em> sect. <em>Quercus</em>) on regional scale
Reutimann, O., Dauphin, B., Baltensweiler, A., Gugerli, F., Kremer, A., & Rellstab, C. (2023). Abiotic factors predict taxonomic composition and genetic admixture in populations of hybridizing white oak species (Quercus sect. Quercus) on regional scale. Tree Genetics and Genomes, 19, 22 (14 pp.). https://doi.org/10.1007/s11295-023-01598-7
Low naturalness of Swiss broadleaf forests increases their susceptibility to disturbances
Scherrer, D., Baltensweiler, A., Bürgi, M., Fischer, C., Stadelmann, G., & Wohlgemuth, T. (2023). Low naturalness of Swiss broadleaf forests increases their susceptibility to disturbances. Forest Ecology and Management, 532, 120827 (8 pp.). https://doi.org/10.1016/j.foreco.2023.120827
Hochauflösende Bodenkarten für den Schweizer Wald
Baltensweiler, A., Walthert, L., Zimmermann, S., & Nussbaum, M. (2022). Hochauflösende Bodenkarten für den Schweizer Wald. Schweizerische Zeitschrift für Forstwesen, 173(6), 288-291. https://doi.org/10.3188/szf.2022.0288
Humusverlust nach Windwurf - Risiko im Bergwald?
Mayer, M., Rusch, S., Didion, M., Baltensweiler, A., Walthert, L., Ranft, F., … Hagedorn, F. (2022). Humusverlust nach Windwurf - Risiko im Bergwald? In Eidg. Forschungsanstalt für Wald, Schnee und Landschaft WSL (Ed.), WSL Berichte: Vol. 126. Waldböden - intakt und funktional (pp. 43-45). https://doi.org/10.55419/wsl:32005
Soil–plant interactions modulated water availability of Swiss forests during the 2015 and 2018 droughts
Meusburger, K., Trotsiuk, V., Schmidt-Walter, P., Baltensweiler, A., Brun, P., Bernhard, F., … Walthert, L. (2022). Soil–plant interactions modulated water availability of Swiss forests during the 2015 and 2018 droughts. Global Change Biology, 28(20), 5928-5944. https://doi.org/10.1111/gcb.16332
Machine learning based soil maps for a wide range of soil properties for the forested area of Switzerland
Baltensweiler, A., Walthert, L., Hanewinkel, M., Zimmermann, S., & Nussbaum, M. (2021). Machine learning based soil maps for a wide range of soil properties for the forested area of Switzerland. Geoderma Regional, 27, e00437 (13 pp.). https://doi.org/10.1016/j.geodrs.2021.e00437
Wo wachsen welche Gehölzarten? Neue Online-Karten verraten es
Baltensweiler, A., & Allgaier Leuch, B. (2021). Wo wachsen welche Gehölzarten? Neue Online-Karten verraten es. Infoblatt Arbeitsgruppe Waldplanung und -management (2), 6-7.
The distribution of a group of keystone species is not associated with anthropogenic habitat disturbance
Fitzpatrick, B. R., Baltensweiler, A., Düggelin, C., Fraefel, M., Freitag, A., Vandegehuchte, M. L., … Risch, A. C. (2021). The distribution of a group of keystone species is not associated with anthropogenic habitat disturbance. Diversity and Distributions, 27(4), 572-584. https://doi.org/10.1111/ddi.13217
Räumlich explizite Modellierung der NaiS-Standorttypen zur Analyse der Waldbestockung
Scherrer, D., Baltensweiler, A., Fischer, C., Frehner, M., Wüest Karpati, R., & Wohlgemuth, T. (2021). Räumlich explizite Modellierung der NaiS-Standorttypen zur Analyse der Waldbestockung. Schweizerische Zeitschrift für Forstwesen, 172(5), 278-285. https://doi.org/10.3188/szf.2021.0278
Modellierte Verbreitungskarten für die häufigsten Gehölzarten der Schweiz
Wüest, R. O., Bergamini, A., Bollmann, K., Brändli, U. B., & Baltensweiler, A. (2021). Modellierte Verbreitungskarten für die häufigsten Gehölzarten der Schweiz. Schweizerische Zeitschrift für Forstwesen, 172(4), 226-233. https://doi.org/10.3188/szf.2021.0226
Microtopography shapes soil pH in flysch regions across Switzerland
Baltensweiler, A., Heuvelink, G. B. M., Hanewinkel, M., & Walthert, L. (2020). Microtopography shapes soil pH in flysch regions across Switzerland. Geoderma, 380, 114663 (10 pp.). https://doi.org/10.1016/j.geoderma.2020.114663
Räumliche Analyse von Trockenheitssymptomen im Schweizer Wald mit Sentinel-2-Satellitendaten
Baltensweiler, A., Brun, P., Pranga, J., Psomas, A., Zimmermann, N. E., & Ginzler, C. (2020). Räumliche Analyse von Trockenheitssymptomen im Schweizer Wald mit Sentinel-2-Satellitendaten. Schweizerische Zeitschrift für Forstwesen, 171(5), 298-301. https://doi.org/10.3188/szf.2020.0298
Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes
Descombes, P., Walthert, L., Baltensweiler, A., Meuli, R. G., Karger, D. N., Ginzler, C., … Zimmermann, N. E. (2020). Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography, 43(10), 1448-1463. https://doi.org/10.1111/ecog.05117
Assessing the response of forest productivity to climate extremes in Switzerland using model-data fusion
Trotsiuk, V., Hartig, F., Cailleret, M., Babst, F., Forrester, D. I., Baltensweiler, A., … Schaub, M. (2020). Assessing the response of forest productivity to climate extremes in Switzerland using model-data fusion. Global Change Biology, 26(4), 2463-2476. https://doi.org/10.1111/gcb.15011