BACI: 2015-2019

TOWARDS A BIOSPHERE ATMOSPHERE CHANGE INDEX

Publication in
Earth Observation | Biodiversity Patterns | Essential Ecosystem Variables | In-situ Observations | Regional Validation | Biosphere Atmosphere Change Index | Socioecological Research | Machine Learning for Environmental Data

Show All

Peer reviewed

2020

1Heckel, K., Urban, M., Schratz, P., Mahecha, M. D., Schmullius, C. (2020). Predicting forest cover in distinct ecosystems: The potential of multi-source sentinel-1 and -2 data fusion. Remote Sensing, 12(2): 302. doi:10.3390/rs12020302.
2Kraemer, G., Reichstein, M., Camps-Valls, G., Smits, J., Mahecha, M. D. (2020). The low dimensionality of development. Social Indicators Research, 150, 999-1020. doi:10.1007/s11205-020-02349-0.
3Ma, X., Migliavacca, M., Wirth, C., Bohn, F. J., Huth, A., Richter, R., Mahecha, M. D. (2020). Monitoring plant functional diversity using the reflectance and echo from space. Remote Sensing, 12(8): 1248. doi:10.3390/rs12081248.
4Thonicke, K., Bahn, M., Lavorel, S., Bardgett, R. D., Erb, K., Giamberini, M., Reichstein, M., Vollan, B., Rammig, A. (2020). Advancing the understanding of adaptive capacity of social-ecological systems to absorb climate extremes. Earth's Future, 8(2): e2019EF001221, pp. 1-13. doi:10.1029/2019EF001221.
5Tramontana, G., Migliavacca, M., Jung, M., Reichstein, M., Keenan, T. F., Camps-Valls, G., Ogee, J., Verrelst, J., Papale, D. (2020). Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks. Global Change Biology, 26(9), 5235-5253. doi:10.1111/gcb.15203.

2019

1Babst, F., Bouriaud, O., Poulter, B., Trouet, V., Girardin, M. P., Frank, D. C. (2019). Twentieth century redistribution in climatic drivers of global tree growth. Science Advances, 5(1): eaat4313. doi:10.1126/sciadv.aat4313.
2Barz, C., Rodner, E., Garcia, Y. G., Denzler, J. (2019). Detecting regions of maximal divergence for spatio-temporal anomaly detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(5), 1088-1101. doi:10.1109/TPAMI.2018.2823766.
3Burt, A., Disney, M., Calders, K. (2019). Extracting individual trees from lidar point clouds using treeseg. Methods in Ecology and Evolution, 10(3), 438-445. doi:10.1111/2041-210X.13121.
4García, Y. G., Shadaydeh, M., Mahecha, M. D., Denzler, J. (2019). Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model. Natural Hazards, 98(3), 849-867. doi:10.1007/s11069-018-3415-8.
5Lu, X., Liang, E., Wang, Y., Babst, F., Leavitt, S. W., Camarero, J. J. (2019). Past the climate optimum: Recruitment is declining at the world’s highest juniper shrublines on the Tibetan Plateau. Ecology, 100(2): e02557. doi:10.1002/ecy.2557.
6Ma, X., Mahecha, M. D., Migliavacca, M., van der Plas, F., Benavides, R., Ratcliffe, S., Kattge, J., Richter, R., Musavi, T., Baeten, L., Barnoaiea, I., Bohn, F. J., Bouriaud, O., Bussotti, F., Coppi, A., Domisch, T., Huth, A., Jaroszewicz, B., Joswig, J., Pabon-Moreno, D. E., Papale, D., Selvi, F., Laurin, G. V., Valladares, F., Reichstein, M., Wirth, C. (2019). Inferring plant functional diversity from space: the potential of Sentinel-2. Remote Sensing of Environment, 233: 111368. doi:10.1016/j.rse.2019.111368.
7Runge, J., Bathiany, S., Bollt, E., Camps-Valls, G., Coumou, D., Deyle, E., Glymour, C., Kretschmer, M., Mahecha, M. D., Muñoz-Marí, J., van Nes, E. H., Peters, J., Quax, R., Reichstein, M., Scheffer, M., Schölkopf, B., Spirtes, P., Sugihara, G., Sun, J., Zhang, K., Zscheischler, J. (2019). Inferring causation from time series in Earth system sciences. Nature Communications, 10: 2553. doi:10.1038/s41467-019-10105-3.
8Vicari, M. B., Disney, M., Wilkes, P., Burt, A., Calders, K., Woodgate, W. (2019). Leaf and wood classification framework for terrestrial LiDAR point clouds. Methods in Ecology and Evolution, 10(5), 680-694. doi:10.1111/2041-210X.13144.
9Vicari, M. B., Pisek, J., Disney, M. (2019). New estimates of leaf angle distribution from terrestrial LiDAR: Comparison with measured and modelled estimates from nine broadleaf tree species. Agricultural and Forest Meteorology, 264, 322-333. doi:10.1016/j.agrformet.2018.10.021.
10Vittucci, C., Vaglio Laurin, G., Tramontana, G., Ferrazzoli, P., Guerriero, L., Papale, D. (2019). Vegetation optical depth at L-band and above ground biomass in the tropical range: Evaluating their relationships at continental and regional scales. International Journal of Applied Earth Observation and Geoinformation, 77, 151-161. doi:10.1016/j.jag.2019.01.006.
11Walther, S., Duveiller, G., Jung, M., Guanter, L., Cescatti, A., Camps-Valls, G. (2019). Satellite observations of the contrasting response of trees and grasses to variations in water availability. Geophysical Research Letters, 46(3), 1429-1440. doi:10.1029/2018GL080535.

2018

1Adams, J., Lewis, P., Disney, M. (2018). Decoupling canopy structure and leaf biochemistry: Testing the utility of Directional area scattering factor (DASF). Remote Sensing, 10(12): 1911. doi:10.3390/rs10121911.
2Alexander, M. R., Rollinson, C. R., Babst, F., Trouet, V., Moore, D. J. P. (2018). Relative influences of multiple sources of uncertainty on cumulative and incremental tree-ring-derived aboveground biomass estimates. Trees, 32(1), 265-276. doi:10.1007/s00468-017-1629-0.
3Babst, F., Bodesheim, P., Charney, N., Friend, A. D., Girardin, M. P., Klesse, S., Moore, D. J., Seftigen, K., Björklund, J., Bouriaud, O., Dawson, A., DeRose, R. J., Dietze, M. C., Eckes, A. H., Enquist, B., Frank, D. C., Mahecha, M. D., Poulter, B., Record, S., Trouet, V., Turton, R. H., Zhang, Z., Evans, M. E. (2018). When tree rings go global: Challenges and opportunities for retro- and prospective insight. Quaternary Science Reviews, 197, 1-20. doi:10.1016/j.quascirev.2018.07.009.
4Bodesheim, P., Jung, M., Gans, F., Mahecha, M. D., Reichstein, M. (2018). Upscaled diurnal cycles of land-atmosphere fluxes: a new global half-hourly data product. Earth System Science Data, 10, 1327-1365. doi:10.5194/essd-10-1327-2018.
5Buitenwerf, R., Sandel, B., Normand, S., Mimet, A., Svenning, J.-C. (2018). Land-surface greening suggests vigorous woody regrowth throughout European semi-natural vegetation. Global Change Biology, 24(12), 5789-5801. doi:10.1111/gcb.14451.
6Chernetskiy, M., Gobron, N., Gómez-Dans, J., Morgan, O., Lewis, M. D. P., Schmullius, C. (2018). Simulating arbitrary hyperspectral bandsets from multispectral observations via a generic Earth Observation-Land Data Assimilation System (EO-LDAS). Advances in Space Research, 62(7), 1654-1674. doi:10.1016/j.asr.2018.07.015.
7Disney, M. I., Vicari, M. B., Burt, A., Calders, K., Lewis, S. L., Raumonen, P., Wilkes, P. (2018). Weighing trees with lasers: advances, challenges and opportunities. Interface Focus, 8(2): 20170048. doi:10.1098/rsfs.2017.0048.
8Erb, K.-H., Kastner, T., Plutzar, C., Bais, A. L. S., Carvalhais, N., Fetzel, T., Gingrich, S., Haberl, H., Lauk, C., Niedertscheider, M., Pongratz, J., Thurner, M., Luyssaert, S. (2018). Unexpectedly large impact of forest management and grazing on global vegetation biomass. Nature, 553(7686), 73-76. doi:10.1038/nature25138.
9Flach, M., Sippel, S., Gans, F., Bastos, A., Brenning, A., Reichstein, M., Mahecha, M. D. (2018). Contrasting biosphere responses to hydrometeorological extremes: revisiting the 2010 western Russian Heatwave. Biogeosciences, 16, 6067-6085. doi:10.5194/bg-15-6067-2018.
10García, Y. G., Shadaydeh, M., Mahecha, M. D., Reichstein, M., Denzler, J. (2018). BACI: Towards a biosphere atmosphere change index - Detection of extreme events in the biosphere. In BigSkyEarth conference: AstroGeoInformatics (pp. 1-6).
11Klesse, S., Babst, F., Lienert, S., Spahni, R., Joos, F., Bouriaud, O., Carrer, M., Filippo, A. D., Poulter, B., Trotsiuk, V., Wilson, R., Frank, D. C. (2018). A combined tree ring and vegetation model assessment of european forest growth sensitivity to interannual climate variability. Global Biogeochemical Cycles, 32(8), 1226-1240. doi:10.1029/2017GB005856.
12Kraemer, G., Reichstein, M., Mahecha, M. D. (2018). dimRed and coRanking—unifying dimensionality reduction in R. R Journal, 10(1), 342-358. doi:10.32614/RJ-2018-039.
13Marchand, W., Girardin, M. P., Gauthier, S., Hartmann, H., Bouriaud, O., Babst, F., Bergeron, Y. (2018). Untangling methodological and scale considerations in growth and productivity trend estimates of Canada's forests. Environmental Research Letters, 13: 093001. doi:10.1088/1748-9326/aad82a.
14Pongratz, J., Dolman, H., Don, A., Erb, K.-H., Fuchs, R., Herold, M., Jones, C., Luyssaert, S., Kuemmerle, T., Meyfroidt, P., Naudts, K. (2018). Models meet data: Challenges and opportunities in implementing land management in Earth system models. Global Change Biology, 24(4), 1470-1487. doi:10.1111/gcb.13988.
15Reiche, J., Hamunyela, E., Verbesselt, J., Hoekman, D., Herold, M. (2018). Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2. Remote Sensing of Environment, 204, 147-161. doi:10.1016/j.rse.2017.10.034.
16Reiche, J., Verhoeven, R., Verbesselt, J., Hamunyela, E., Wielaard, N., Herold, M. (2018). Characterizing tropical forest cover loss using dense sentinel-1 data and active fire alerts. Remote Sensing, 10(5): 777. doi:10.3390/rs10050777.
17Requena-Mesa, C., Reichstein, M., Mahecha, M. D., Kraft, B., Denzler, J. (2018). Predicting landscapes as seen from space from environmental conditions. In 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 1768-1771). doi:10.1109/IGARSS.2018.8519427.
18Santos, M. J., Disney, M., Chave, J. (2018). Detecting human presence and influence on Neotropical forests with remote sensing. Remote Sensing, 10(10): 1593. doi:10.3390/rs10101593.
19Seftigen, K., Frank, D. C., Björklund, J., Babst, F., Poulter, B. (2018). The climatic drivers of normalized difference vegetation index and tree-ring-based estimates of forest productivity are spatially coherent but temporally decoupled in Northern Hemispheric forests. Global Ecology and Biogeography, 27(11), 1352-1365. doi:10.1111/geb.12802.
20Shadaydeh, M., Garcia, Y. G., Mahecha, M. D., Reichstein, M., Denzler, J. (2018). Causality analysis of ecological time series: a time-frequency approach. In C. Chen, D. Cooley, J. Runge, E. Szekely (Eds.), 8th International Workshop on Climate Informatics: CI 2018 (pp. 111-114).
21Tian, D., Yan, Z., Niklas, K. J., Han, W., Kattge, J., Reich, P. B., Luo, Y., Chen, Y., Tang, Z., Hu, H., Wright, I. J., Schmid, B., Fang, J. (2018). Global leaf nitrogen and phosphorus stoichiometry and their scaling exponent. National Science Review, 5, 728-739. doi:10.1093/nsr/nwx142.
22Trouet, V., Babst, F., Meko, M. (2018). Recent enhanced high-summer North Atlantic Jet variability emerges from three-century context. Nature Communications, 9: 180. doi:10.1038/s41467-017-02699-3.
23Urban, M., Berger, C., Mudau, T. E., Heckel, K., Truckenbrodt, J., Odipo, V. O., Smit, I. P. J., Schmullius, C. (2018). Surface moisture and vegetation cover analysis for drought monitoring in the southern Krüger National Park using sentinel-1, sentinel-2, and landsat-8. Remote Sensing, 10: 1482. doi:10.3390/rs10091482.
24Vaglio Laurin, G., Avezzano, R., Bacciu, V., Del Frate, F., Papale, D., Virelli, M. (2018). COSMO-SkyMed potential to detect and monitor Mediterranean maquis fires and regrowth: a pilot study in Capo Figari, Sardinia, Italy. iForest - Biogeosciences and Forestry, 11, 389-395. doi:10.3832/ifor2623-011.
25Vaglio Laurin, G., Balling, J., Corona, P., Mattioli, W., Papale, D., Puletti, N., Rizzo, M., Truckenbrodt, J., Urban, M. (2018). Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data. Journal of Applied Remote Sensing, 12(1): 016008. doi:10.1117/1.JRS.12.016008.
26Vaglio Laurin, G., Belli, C., Bianconi, R., Laranci, P., Papale, D. (2018). Early mapping of industrial tomato in Central and Southern Italy with Sentinel 2, aerial and RapidEye additional data. Journal of Agricultural Science, 156(3), 396-407. doi:10.1017/S0021859618000400.
27Vaglio Laurin, G., Vittucci, C., Tramontana, G., Bodesheim, P., Ferrazzoli, P., Guerriero, L., Jung, M., Mahecha, M. D., Papale, D. (2018). SMOS vegetation optical depth and ecosystem functional properties: Exploring their relationships in tropical forests. In IEEE International Geoscience and Remote Sensing Symposium 2018 (pp. 5891-5894).
28Vittucci, C., Ferrazzoli, P., Kerr, Y., Richaume, P., Guerriero, L., Vaglio Laurin, G. (2018). Spatial and temporal properties of SMOS retrieval over tropical forests. In IEEE International Geoscience and Remote Sensing Symposium 2018 (pp. 2153-2156).
29Vittucci, C., Ferrazzoli, P., Kerr, Y., Richaume, P., Vaglio Laurin, G., Guerrier, L. (2018). Analysis of vegetation optical depth and soil moisture retrieved by SMOS over tropical forests. IEEE Geoscience and Remote Sensing Letters, 99(1), 1-5. doi:10.1109/LGRS.2018.2878359.
30von Buttlar, J., Zscheischler, J., Rammig, A., Sippel, S., Reichstein, M., Knohl, A., Jung, M., Menzer, O., Arain, M. A., Buchmann, N., Cescatti, A., Gianelle, D., Kieley, G., Law, B. E., Magliulo, V., Margolis, H., McCaughey, H., Merbold, L., Migliavacca, M., Montagnani, L., Oechel, W., Pavelka, M., Peichl, M., Rambal, S., Raschi, A., Scott, R. L., Vaccari, F. P., van Gorsel, E., Varlagin, A., Wohlfahrt, G., Mahecha, M. D. (2018). Impacts of droughts and extreme-temperature events on gross primary production and ecosystem respiration: a systematic assessment across ecosystems and climate zones. Biogeosciences, 15(5), 1293-1318. doi:10.5194/bg-15-1293-2018.
31Wilkes, P., Disney, M., Vicari, M. B., Calders, K., Burt, A. (2018). Estimating urban above ground biomass with multi-scale LiDAR. Carbon Balance and Management, 13(1): 10. doi:10.1186/s13021-018-0098-0.
32Wu, X., Liu, H., Li, X., Ciais, P., Babst, F., Guo, W., Zhang, C., Magliulo, V., Pavelka, M., Liu, S., Huang, Y., Wang, P., Shi, C., Ma, Y. (2018). Differentiating drought legacy effects on vegetation growth over the temperate Northern Hemisphere. Global Change Biology, 24(1), 504-516. doi:10.1111/gcb.13920.
33Zhang, Z., Babst, F., Bellassen, V., Frank, D., Launois, T., Tan, K., Ciais, P., Poulter, B. (2018). Converging climate sensitivities of European forests between observed radial tree growth and vegetation models. Ecosystems, 21(3), 410-425. doi:10.1007/s10021-017-0157-5.

2017

1Babst, F., Poulter, B., Bodesheim, P., Mahecha, M. D., Frank, D. C. (2017). Improved tree-ring archives will support earth-system science. Nature Ecology & Evolution, 1: 0008. doi:10.1038/s41559-016-0008.
2Barz, B., Garcia, Y. G., Rodner, E., Denzler, J. (2017). Maximally divergent intervals for extreme weather event detection. In OCEANS 2017 - Aberdeen. Aberdeen, UK: IEEE Oceanic Engineering Society.
3Belmecheri, S., Babst, F., Hudson, A. R., Betancourt, J., Trouet, V. (2017). Northern hemisphere jet stream position indices as diagnostic tools for climate and ecosystem dynamics. Earth Interactions, 21(8), 1-23. doi:10.1175/EI-D-16-0023.1.
4Butler, E. E., Datta, A., Flores-Moreno, H., Chen, M., Wythers, K. R., Fazayeli, F., Banerjee, A., Atkine, O. K., Kattge, J., Amiaud, B., Blonder, B., Boenisch, G., Bond-Lamberty, B., Brown, K. A., Byun, C., Campetella, G., Cerabolini, B. E. L., Cornelissen, J. H. C., Craine, J. M., Craven, D., de Vriess, F. T., Diaz, S., Domingues, T. F., Forey, E., González-Melox, A., Grossy, N., Han, W., Hattingh, W. N., Hickler, T., Jansen, S., Kramer, K., Kraft, N. J. B., Kurokawa, H., Laughlin, D. C., Meir, P., Minden, V., Niinemets, Ü., Onoda, Y., Penuelas, J., Read, Q., Sack, L., Schamp, B., Soudzilovskaia, N. A., Spasojevic, M. J., Sosinski, E., Thornton, P. E., Valladares, F., van Bodegom, P. M., Williams, M., Wirth, C., Reich, P. B. (2017). Mapping local and global variability in plant trait distributions. Proc.Natl.Acad.Sci.USA, 114(51), E10937-E10946. doi:10.1073/pnas.1708984114.
5Chernetskiy, M., Gomez-Dans, J., Gobron, N., Morgan, O., Lewis, P., Truckenbrodt, S., Schmullius, C. (2017). Estimation of FAPAR over croplands using MISR data and the Earth Observation Land Data Assimilation System (EO-LDAS). Remote Sensing, 9(7): 656. doi:10.3390/rs9070656.
6Erb, K., Luyssaert, S., Meyfroidt, P., Pongratz, J., Don, A., Kloster, S., Kuemmerle, T., Fetzel, T., Fuchs, R., Herold, M., Haberl, H., Jones, C. D., Spiotta, E. M., McCallum, I., Robertson, E., Seufert, V., Fritz, S., Valade, A., Wiltshire, A., Dolman, A. J. (2017). Land management: data availability and process understanding for global change studies. Global Change Biology, 23(2), 512-533. doi:10.1111/gcb.13443.
7Evans, M. E. K., Falk, D. A., Arizpe, A., Swetnam, T. L., Babst, F., Holsinger, K. E. (2017). Fusing tree-ring and forest inventory data to infer influences on tree growth. Ecosphere, 8(7): e01889. doi:10.1002/ecs2.1889.
8Flach, M., Gans, F., Brenning, A., Denzler, J., Reichstein, M., Rodner, E., Bathiany, S., Bodesheim, P., Guanche, Y., Sippel, S., Mahecha, M. D. (2017). Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques. Earth System Dynamics, 8(3), 677-696. doi:10.5194/esd-8-677-2017.
9Hamunyela, E., Reiche, J., Verbesselt, J., Herold, M. (2017). Using Space-Time Features to Improve Detection of Forest Disturbances from Landsat Time Series. Remote Sensing, 9(6): 515. doi:10.3390/rs9060515.
10Ilie, I., Dittrich, P., Carvalhais, N., Jung, M., Heinemeyer, A., Migliavacca, M., Morison, J. I. L., Sippel, S., Subke, J.-A., Wilkinson, M., Mahecha, M. D. (2017). Reverse engineering model structures for soil and ecosystem respiration: the potential of gene expression programming. Geoscientific Model Development, 10(9), 3519-3545. doi:10.5194/gmd-10-3519-2017.
11Jung, M., Reichstein, M., Schwalm, C. R., Huntingford, C., Sitch, S., Ahlström, A., Arneth, A., Camps-Valls, G., Ciais, P., Friedlingstein, P., Gans, F., Ichii, K., Jain, A. K., Kato, E., Papale, D., Poulter, B., Raduly, B., Rödenbeck, C., Tramontana, G., Viovy, N., Wang, Y.-P., Weber, U., Zaehle, S., Zeng, N. (2017). Compensatory water effects link yearly global land CO2 sink changes to temperature. Nature, 541(7638), 516-520. doi:10.1038/nature20780.
12Koirala, S., Jung, M., Reichstein, M., de Graaf, I. E. M., Camps-Valls, G., Ichii, K., Papale, D., Raduly, B., Schwalm, C. R., Tramontana, G., Carvalhais, N. (2017). Global distribution of groundwater-vegetation spatial covariation. Geophysical Research Letters, 44(9), 4134-4142. doi:10.1002/2017GL072885.
13Mahecha, M. D., Gans, F., Sippel, S., Donges, J. F., Kaminski, T., Metzger, S., Migliavacca, M., Papale, D., Rammig, A., Zscheischler, J. (2017). Detecting impacts of extreme events with ecological in situ monitoring networks. Biogeosciences, 14(18), 4255-4277. doi:10.5194/bg-14-4255-2017.
14Montane, F., Fox, A. M., Arellano, A. F., MacBean, N., Alexander, M. R., Dye, A., Bishop, D. A., Trouet, V., Babst, F., Hessl, A. E., Pederson, N., Blanken, P. D., Bohrer, G., Gough, C. M., Litvak, M. E., Novick, K. A., Phillips, R. P., Wood, J. D., Moore, D. J. P. (2017). Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools, and turnover in temperate forests. Geoscientific Model Development, 10(9), 3499-3517. doi:10.5194/gmd-10-3499-2017.
15Musavi, T., Migliavacca, M., Reichstein, M., Kattge, J., Wirth, C., Black, T. A., Janssens, I., Knohl, A., Loustau, D., Roupsard, O., Varlagin, A., Rambal, S., Cescatti, A., Gianelle, D., Kondo, H., Tamrakar, R., Mahecha, M. D. (2017). Stand age and species richness dampen interannual variation of ecosystem-level photosynthetic capacity. Nature Ecology & Evolution, 1(2): 0048. doi:10.1038/s41559-016-0048.
16Niedertscheider, M., Tasser, E., Patek, M., Ruedisser, J., Tappeiner, U., Erb, K.-H. (2017). Influence of land-use intensification on vegetation C-stocks in an alpine valley from 1865 to 2003. Ecosystems, 20(8), 1391-1406. doi:10.1007/s10021-017-0120-5.
17Pappas, C., Mahecha, M. D., Frank, D. C., Babst, F., Koutsoyiannis, D. (2017). Ecosystem functioning is enveloped by hydrometeorological variability. Nature Ecology & Evolution, 1(9), 1263-1270. doi:10.1038/s41559-017-0277-5.
18Pellissier, V., Mimet, A., Fontaine, C., Svenning, J.-C., Couvet, D. (2017). Relative importance of the land-use composition and intensity for the bird community composition in anthropogenic landscapes. Ecology and Evolution, 7(24), 10513-10535. doi:10.1002/ece3.3534.
19Reyers, B., Stafford-Smith, M., Erb, K.-H., Scholes, R. J., Selomane, O. (2017). Essential variables help to focus sustainable development goals monitoring. Current Opinion in Environmental Sustainability, 26-27, 97-105. doi:10.1016/j.cosust.2017.05.003.
20Sippel, S., Forkel, M., Rammig, A., Thonicke, K., Flach, M., Heimann, M., Otto, F. E. L., Reichstein, M., Mahecha, M. D. (2017). Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystems. Environmental Research Letters, 12: 075006. doi:10.1088/1748-9326/aa7398.
21Sippel, S., Zscheischler, J., Heimann, M., Lange, H., Mahecha, M. D., van Oldenborgh, G. J., Otto, F. E. L., Reichstein, M. (2017). Have precipitation extremes and annual totals been increasing in the world’s dry regions over the last 60 years? Hydrology and Earth System Sciences, 21(1), 441-458. doi:10.5194/hess-21-441-2017.
22Sippel, S., Zscheischler, J., Mahecha, M. D., Orth, R., Reichstein, M., Vogel, M., Seneviratne, S. I. (2017). Refining multi-model projections of temperature extremes by evaluation against land–atmosphere coupling diagnostics. Earth System Dynamics, 8(2), 387-403. doi:10.5194/esd-8-387-2017.
23Sun, Y., Frankenberg, C., Wood, J. D., Schimel, D. S., Jung, M., Guanter, L., Drewry, D. T., Verma, M., Porcar-Castell, A., Griffis, T. J., Gu, L., Magney, T. S., Köhler, P., Evans, B., Yuen, K. (2017). OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence. Science, 358(6360): eaam5747. doi:10.1126/science.aam5747.
24Vaglio Laurin, G., Pirotti, F., Callegari, M., Chen, Q., Cuozzo, G., Lingua, E., Notarnicola, C., Papale, D. (2017). Potential of ALOS2 and NDVI to estimate forest above-ground biomass, and comparison with lidar-derived estimates. Remote Sensing, 9: 18. doi:10.3390/rs9010018.
25Zscheischler, J., Mahecha, M. D., Avitabile, V., Calle, L., Carvalhais, N., Ciais, P., Gans, F., Gruber, N., Hartmann, J., Herold, M., Ichii, K., Jung, M., Landschützer, P., Laruelle, G. G., Lauerwald, R., Papale, D., Peylin, P., Poulter, B., Ray, D., Regnier, P., Rödenbeck, C., Roman-Cuesta, R. M., Schwalm, C., Tramontana, G., Tyukavina, A. T., Valentini, R., van der Werf, G., West, T. O., Wolf, J. E., Reichstein, M. (2017). Reviews and syntheses: An empirical spatiotemporal description of the global surface–atmosphere carbon fluxes: opportunities and data limitations. Biogeosciences, 14(15), 3685-3703. doi:10.5194/bg-14-3685-2017.

2016

1Campioli, M., Malhi, Y., Vicca, S., Luyssaert, S., Papale, D., Peñuelas, J., Reichstein, M., Migliavacca, M., Arain, M. A., Janssens, I. A. (2016). Evaluating the convergence between eddy covariance and biometric methods for assessing carbon budgets of forests. Nature Communications, 7: 13717. doi:10.1038/ncomms13717.
2Díaz, S., Kattge, J., Cornelissen, J. H. C., Wright, I. J., Lavorel, S., Dray, S., Reu, B., Kleyer, M., Wirth, C., Prentice, I. C., Garnier, E., Bönisch, G., Westoby, M., Poorter, H., Reich, P. B., Moles, A. T., Dickie, J., Gillison, A. N., Zanne, A. E., Chave, J., Wright, S. J., Sheremetev, S. N., Jactel, H., Baraloto, C., Cerabolini, B., Pierce, S., Shipley, B., Kirkup, D., Casanoves, F., Joswig, J., Günther, A., Falczuk, V., Rüger, N., Mahecha, M. D., Gorné, L. D. (2016). The global spectrum of plant form and function. Nature, 529, 167-171. doi:10.1038/nature16489.
3Disney, M., Muller, J.-P., Kharbouche, S., Kaminski, T., Voßbeck, M., Lewis, P., Pinty, B. (2016). A new global fAPAR and LAI dataset derived from optimal Albedo estimates: Comparison with MODIS products. Remote Sensing, 8(4): 275. doi:10.3390/rs8040275.
4Erb, K.-H., Fetzel, T., Plutzar, C., Kastner, T., Lauk, C., Mayer, A., Niedertscheider, M., Körner, C., Haberl, H. (2016). Biomass turnover time in terrestrial ecosystems halved by land use. Nature geoscience, 9, 674-678. doi:10.1038/ngeo2782.
5Guanche Garcia, Y., Rodner, E., Flach, M., Sippel, S., Mahecha, M. D., Denzler, J. (2016). Detecting multivariate biosphere extremes. In A. Banerjee, W. Ding, V. Dy (Eds.), Proceedings of the 6th International Workshop on Climate Informatics: CI2016: NCAR Technical Note NCAR/TN-529+PROC (pp. 9-12). Boulder: National Center for Atmospheric Research.
6Joshi, N., Baumann, M., Ehammer, A., Fensholt, R., Grogan, K., Hostert, P., Rudbeck Jepsen, M., Kuemmerle, T., Meyfroidt, P., Mitchard, E. T. A., Reiche, J., Ryan, C. M., Waske, B. (2016). A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring. Remote Sensing, 8(1): 70. doi:10.3390/rs8010070.
7Musavi, T., Migliavacca, M., van de Weg, M. J., Kattge, J., Wohlfahrt, G., van Bodegom, P., Reichstein, M., Bahn, M., Carrara, A., Domingues, T., Gavazzi, M., Gianelle, D., Gimeno, C., Granier, A., Gruening, C., Havránková, K., Herbst, M., Hrynkiw, C., Kalhori, A., Kaminski, T., Klumpp, K., Kolari, P., Longdoz, B., Minerbi, S., Montagnani, L., Moors, E., Oechel, W., Reich, P., Rohatyn, S., Rossi, A., Rotenberg, E., Varlagin, A., Wilkinson, M., Wirth, C., Mahecha, M. D. (2016). Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits. Ecology and Evolution, 6(20), 7352-7366. doi:10.1002/ece3.2479.
8Reiche, J., Lucas, R., Mitchell, A. L., Verbesselt, J., Hoekman, D. H., Haarpaintner, J., Kellndorfer, J. M., Rosenqvist, A., Lehmann, E. A., Woodcock, C. E., Seifert, F. M., Herold, M. (2016). Combining satellite data for better tropical forest monitoring. Nature Climate Change, 6, 120-122. doi:10.1038/nclimate2919.
9Rodner, E., Barz, B., Guanche, Y., Flach, M., Mahecha, M. D., Bodesheim, P., Reichstein, M., Denzler, J. (2016). Maximally divergent intervals for anomaly detection. In ICML 2016 Anomaly Detection Workshop. doi:10.17871/BACI_ICML2016_Rodner.
10Sippel, S., Lange, H., Mahecha, M. D., Hauhs, M., Bodesheim, P., Kaminski, T., Gans, F., Rosso, O. A. (2016). Diagnosing the dynamics of observed and simulated ecosystem gross primary productivity with time causal information theory quantifiers. PLoS One, 11(10): e0164960. doi:10.1371/journal.pone.0164960.
11Sippel, S., Otto, F. E. L., Flach, M., van Oldenborgh, G. J. (2016). The role of anthropogenic warming in 2015 central european heat waves. Bulletin of the American Meteorological Society, 97(12), S51-S56. doi:10.1175/BAMS-D-16-0150.1.
12Sippel, S., Zscheischler, J., Reichstein, M. (2016). Ecosystem impacts of climate extremes crucially depend on the timing (commentary). Proc.Natl.Acad.Sci.USA, 113(21), 5768-5770. doi:10.1073/pnas.1605667113.
13Tramontana, G., Jung, M., Schwalm, C. R., Ichii, K., Camps-Valls, G., Ráduly, B., Reichstein, M., Arain, M. A., Cescatti, A., Kiely, G., Merbold, L., Serrano-Ortiz, P., Sickert, S., Wolf, S., Papale, D. (2016). Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms. Biogeosciences, 13(14), 4291-4313. doi:10.5194/bg-13-4291-2016.
14Vaglio Laurin, G., Hawthorne, W. D., Chiti, T., Di Paola, A., Cazzolla Gatti, R., Marconi, S., Noce, S., Grieco, E., Pirotti, F., Valentini, R. (2016). Does degradation from selective logging and illegal activities differently impact forest resources? A case study in Ghana. iForest - Biogeosciences and Forestry, 9, 354-362. doi:10.3832/ifor1779-008.
15Vaglio Laurin, G., Puletti, N., Chen, Q., Corona, P., Papale, D., Valentini, R. (2016). Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests. International Journal of Applied Earth Observation and Geoinformation, 52, 371-379. doi:10.1016/j.jag.2016.07.008.
16Vaglio Laurin, G., Puletti, N., Hawthorne, W., Liesenberg, V., Corona, P., Papale, D., Chen, Q., Valentini, R. (2016). Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data. Remote Sensing of Environment, 176, 163-176. doi:10.1016/j.rse.2016.01.017.
17Vittucci, C., Ferrazzoli, P., Kerr, Y., Richaume, P., Guerriero, L., Rahmoune, R., Vaglio Laurin, G. (2016). SMOS retrieval over forests: Exploitation of optical depth and tests of soil moisture estimates. Remote Sensing of Environment, 180, 115-127. doi:10.1016/j.rse.2016.03.004.

2015

1Papale, D., Black, T. A., Carvalhais, N., Cescatti, A., Chen, J., Jung, M., Kiely, G., Lasslop, G., Mahecha, M. D., Margolis, H., Merbold, L., Montagnani, L., Moors, E., Olesen, J. E., Reichstein, M., Tramontana, G., van Gorsel, E., Wohlfahrt, G., Ráduly, B. (2015). Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks. Journal of Geophysical Research: Biogeosciences, 120(10), 1941-1957. doi:10.1002/2015JG002997.
2Reiche, J., de Bruin, S., Hoekman, D., Verbesselt, J., Herold, M. (2015). A Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection. Remote Sensing, 7(5), 4973-4996. doi:10.3390/rs70504973.
3Sippel, S., Zscheischler, J., Heimann, M., Otto, F. E., Peters, J., Mahecha, M. D. (2015). Quantifying changes in climate variability and extremes: Pitfalls and their overcoming. Geophysical Research Letters, 42(22), 9990-9998. doi:10.1002/2015GL066307.

Others

1Barz, B., Garcia, Y. G., Rodner, E., Denzler, J. (2017). Maximally divergent intervals for extreme weather event detection. In OCEANS 2017 - Aberdeen. Aberdeen, UK: IEEE Oceanic Engineering Society.