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URPP Global Change and Biodiversity

Publications in 2017

Braun D., Damm A., Paul-Limoges E., Revill A., Buchmann N., Petchey O. L., Hein L., Schaepman M.E. (2017). From instantaneous to continuous: Using imaging spectroscopy and in situ data to map two productivity-related ecosystem services. Ecological Indicators 82 409-419 doi:  10.1016/j.ecolind.2017.06.045

Bruggisser M., Roncat A., Schaepman M.E., & Morsdorf F. (2017). Retrieval of higher order statistical moments from full-waveform LiDAR data for tree species classification. Remote Sensing of Environment 196 28-41 doi: 10.1016/j.rse.2017.04.025

Cheng Choon A., O’Brien M. J., Ng K. K. S., Lee P. C., Hector A., Schmid B.Shimizu K.  (2017). Genetic diversity of two tropical tree species of the Dipterocarpaceae following logging and restoration in Borneo: high genetic diversity in plots with high species diversity. Plant Ecology and Diversity 9 459-469  doi:10.1080/17550874.2016.1270363

Crate S., Ulrich M., Habeck J. O., Desyatkin A. R., Desyatkin R. V., Fedorov A. N., Hiyama T., Iijimah Y., Ksenofontov S., Mészáros C., Takakura H. (2017). Permafrost livelihoods: A transdisciplinary review and analysis of thermokarst-based systems of indigenous land use. Anthropocene 18  89-104 doi:10.1016/j.ancene.2017.06.001

Diek S., Fornallaz F., Schaepman M. E. and de Jong R. (2017). Barest Pixel Composite for Agricultural Areas Using Landsat Time Series. Remote Sensing 9 1245 doi:10.3390/rs9121245

Fatehi P., Damm A., Leiterer R., Pir Bavaghar M., Schaepman M.E., and Kneubühler M. (2017). Tree Density and Forest Productivity in a Heterogeneous Alpine Environment: Insights from Airborne Laser Scanning and Imaging Spectroscopy. Forests 8 212 doi:10.3390/f8060212

Garnier A., Pennekamp F., Lemoine M. and Petchey O.L. (2017). Temporal scale dependent interactions between multiple environmental disturbances in microcosm ecosystems. Global Change Biology 23 5237-5248 doi:10.1111/gcb.13786

Gerber F., Mösinger K. and Furrer R. (2017). Extending R Packages to Support 64-bit Compiled Code: An Illustration with spam64 and GIMMS NDVI3g Data. Computers & Geosciences 104 109-119 doi:10.1016/j.cageo.2016.11.015

Gómez Giménez M., de Jong R., Della Peruta R., Keller A. and Schaepman M.E. (2017). Determination of grassland use intensity based on multi-temporal remote sensing data and ecological indicators. Remote Sensing of Environment 198 126-139 doi:10.1016/j.rse.2017.06.003

Güsewell S., Furrer R., Gehrig R. and Pietragalla B, (2017). Changes in temperature sensitivity of spring phenology with recent climate warming in Switzerland are related to shifts of the preseason. Global Change Biology 23 5189–5202 doi:10.1111/gcb.13781

Haverkamp P.J., Shekeine J., de Jong R., Schaepman M.E., Turnbull L.A., Baxter, R., Hansen D., Bunbury N., Fleischer-Dogley F. and Schaepman-Strub G. (2017). Giant tortoise habitats under increasing drought conditions on Aldabra Atoll – Ecological indicators to monitor rainfall anomalies and related vegetation activity. Ecological Indicators 80 354-362 doi:10.1016/j.ecolind.2017.05.029

Iturrate-Garcia M., Heijmans M.M.M.P., Schweingruber F., Simeon R., Niklaus P.A., Schaepman-Strub G. (2017). Shrub growth rate and bark responses to soil warming and nutrient addition ‒ an experimental dendroecological approach. Dendrochronlogia 45 12-22 doi:10.1016/j.dendro.2017.07.001

Juszak I.Iturrate-Garcia M., Gastellu-Etchegorry JP., Schaepman M.E., Maximov TC., Schaepman-Strub G. (2017). Drivers of shortwave radiation fluxes in Arctic tundra across scales. Remote Sensing of Environment 193 86-102 doi:10.1016/j.rse.2017.02.017

Kiapasha K., Darvishsefat A.A., Julien Y., Sobrino J.A., Zargham N. Attarod, P. and Schaepman M.E. (2017). Trends in Phenological Parameters and Relationship Between Land Surface Phenology and Climate Data in the Hyrcanian Forests of Iran. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 4961-4970 doi: 10.1109/JSTARS.2017.2736938 

Ksenofontov S., Backhaus N., Schaepman-Strub G. (2017). To fish or not to fish: fishing communities of Arctic Yakutia in the face of environmental change and political transformations. Polar Record 53 289-303 doi: 10.1017/S0032247417000134

Kükenbrink D., Schneider F.D., Leiterer R., Schaepman M.E. and Morsdorf F. (2017). Quantification of hidden canopy volume of airborne laser scanning data using a voxel traversal algorithm. Remote Sensing of Environment 194 424-436 doi:10.3390/rs9090940

Loew A., Bell W., Brocca L., Bulgin C., Burdanowitz J., Calbet X., Donner R.V., Ghent D., Gruber A., Kaminski T., Kinzel J., Klepp C., Lambert J-C., Schaepman-Strub G., Schröder M., Verhoelst T. (2017). Validation practices for satellite-based Earth observation data across communities. Review of Geophysics 55 779-817 doi:10.1002/2017RG000562

O'Brien M.J., Engelbrecht B.M.J., Joswig J., Pereyra G., Schuldt B., Jansen S., Kattge J., Landhäusser S. M., Levick S. R., Preisler Y., Väänänen P. and Macinnis-Ng C. (2017). A synthesis of tree functional traits related to drought-induced mortality in forests across climatic zones. Journal of Applied Ecology 54 1669-1686. doi:doi:10.1111/1365-2664.12874

O'Brien M.J., Ong R., Reynolds G. (2017). Intra-annual plasticity of growth mediates drought resilience over multiple years in tropical seedling communities. Global Change Biology 23 42354244 doi:10.1111/gcb.13658

O’Brien M.J., Reynolds G., Ong R. and Hector A. (2017).  Resistance of tropical seedlings to drought is mediated by neighbourhood diversity. Nature Ecology & Evolution 1 1643-1648 doi:10.1038/s41559-017-0326-0

Oehri J., Schmid B., Schaepman-Strub G. and Niklaus P.A. (2017). Biodiversity promotes primary productivity and growing season lengthening at the landscape scale. Proceedings of the National Academy of Sciences 114 10160-10165 doi: 10.1073/pnas.1703928114

Schmid B., Baruffol M., Wang Z., Niklaus P.A. (2017). A guide to analyzing biodiversity experiments. Journal of Plant Ecology 10 91-110 doi:10.1093/jpe/rtw107

Schmid M.W. (2017). RNA-Seq data analysis protocol: Combining in-house and publicly available data. Methods in Molecular Biology 1669 309-335doi:10.1007%2F978-1-4939-7286-9_24

Schneider F.D., Morsdorf F., Schmid B., Petchey O.L., Hueni A., Schimel D.S. and Schaepman M.E. (2017). Mapping functional diversity from remotely sensed morphological and physiological forest traits. Nature Communications 8 1441. doi; 10.1038/s41467-017-01530-3

Schweiger A.K., Schütz M., Risch A.C., Kneubühler M., Haller R. and Schaepman M.E. (2017). How to predict plant functional types using imaging spectroscopy: linking vegetation community traits, plant functional types and spectral response. Methods in Ecology and Evolution 8 86-95 doi: 10.1111/2041-210X.12642

Xie J., Kneubühler M., Garonna I., Notarnicola C., De Gregorio L., De Jong R., Chimani B. and Schaepman M.E. (2017). Altitude-dependent influence of snow cover on alpine land surface phenology. Journal of Geophysical Research: Biogeosciences 122 1107-1122 doi:https://doi.org/10.1002/2016JG003728