Dr. Jürgen Zell

Portier, J.; Wunder, J.; Stadelmann, G.; Zell, J.; Abegg, M.; Thürig, E.; Rohner, B., 2021: 'Latent reserves': A hidden treasure in National Forest Inventories. Journal of Ecology, 109: 369-383. doi: 10.1111/1365-2745.13487

Käber, Y.; Meyer, P.; Stillhard, J.; De Lombaerde, E.; Zell, J.; Stadelmann, G.; Bugmann, H.; Bigler, C., 2021: Tree recruitment is determined by stand structure and shade tolerance with uncertain role of climate and water relations. Ecology and Evolution, 11, 17: 12182-12203. doi: 10.1002/ece3.7984

Zell, J.; Nitzsche, J.; Stadelmann, G.; Thürig, E., 2020: SwissStandSim: a climate sensitive single-tree based forest growth model. Schweizerische Zeitschrift für Forstwesen, 171, 3: 116-123. doi: 10.3188/szf.2020.0116

Gschwantner, T.; Alberdi, I.; Balázs, A.; Bauwens, S.; Bender, S.; Borota, D.; Bosela, M.; Bouriaud, O.; Cañellas, I.; Donis, J.; Freudenschuß, A.; Hervé, J.; Hladnik, D.; Jansons, J.; Kolozs, L.; Korhonen, K.T.; Kucera, M.; Kulbokas, G.; Kuliešis, A.; ... Zell, J., 2019: Harmonisation of stem volume estimates in European National Forest Inventories. Annals of Forest Science, 76, 1: 24 (23 pp.). doi: 10.1007/s13595-019-0800-8

Herold, A.; Zell, J.; Rohner, B.; Didion, M.; Thürig, E.; Rösler, E., 2019: State and change of forest resources. In: Fischer, C.; Traub, B. (eds), 2019: Swiss National Forest Inventory – Methods and models of the fourth assessment. Cham, Springer. 205-230. doi: 10.1007/978-3-030-19293-8_12

Didion, M.; Zell, J., 2019: Model of carbon cycling in dead organic matter and soil (Yasso07). In: Fischer, C.; Traub, B. (eds), 2019: Swiss National Forest Inventory – Methods and models of the fourth assessment. Cham, Springer. 281-284. doi: 10.1007/978-3-030-19293-8_18

Nikolova, P.S.; Rohner, B.; Zell, J.; Brang, P., 2019: Tree species dynamics in Swiss forests as affected by site, stand and management: a retrospective analysis. Forest Ecology and Management, 448: 278-293. doi: 10.1016/j.foreco.2019.06.012

Zell, J.; Rohner, B.; Thürig, E.; Stadelmann, G., 2019: Modeling ingrowth for empirical forest prediction systems. Forest Ecology and Management, 433: 771-779. doi: 10.1016/j.foreco.2018.11.052

Zell, J., 2018: Climate sensitive tree growth functions and the role of transformations. Forests, 9, 7: 382 (20 pp.). doi: 10.3390/f9070382

Abegg, M.; Kükenbrink, D.; Zell, J.; Schaepman, M.E.; Morsdorf, F., 2017: Terrestrial laser scanning for forest inventories – tree diameter distribution and scanner location impact on occlusion. Forests, 8, 6: 184 (29 pp.). doi: 10.3390/f8060184

Bouriaud, L.; Marzano, M.; Lexer, M.; Nichiforel, L.; Reyer, C.; Temperli, C.; Peltola, H.; Elkin, C.; Duduman, G.; Taylor, P.; Bathgate, S.; Borges, J.G.; Clerkx, S.; Garcia-Gonzalo, J.; Gracia, C.; Hengeveld, G.; Kellomäki, S.; Kostov, G.; Maroschek, M.; ... Hanewinkel, M., 2015: Institutional factors and opportunities for adapting European forest management to climate change. Regional Environmental Change, 15, 8: 1595-1609. doi: 10.1007/s10113-015-0852-8

Zell, J.; Hanewinkel, M., 2015: How treatment, storm events and changed climate affect productivity of temperate forests in SW Germany. Regional Environmental Change, 15, 8: 1531-1542. doi: 10.1007/s10113-015-0777-2

Zell, J.; Bösch, B.; Kändler, G., 2014: Estimating above-ground biomass of trees: comparing Bayesian calibration with regression technique. European Journal of Forest Research, 133, 4: 649-660. doi: 10.1007/s10342-014-0793-7

Temperli, C.; Zell, J.; Bugmann, H.; Elkin, C., 2013: Sensitivity of ecosystem goods and services projections of a forest landscape model to initialization data. Landscape Ecology, 28, 7: 1337-1352. doi: 10.1007/s10980-013-9882-0