BACI: 2015-2019

TOWARDS A BIOSPHERE ATMOSPHERE CHANGE INDEX

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

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Earth Observations

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.
4Babst, 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.
5Babst, 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.
6Belmecheri, 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.
7Chernetskiy, 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.
8Chernetskiy, 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.
9Disney, 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.
10Disney, 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.
11Erb, 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.
12Evans, 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.
13Flach, 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.
14Hamunyela, 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.
15Joshi, 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.
16Jung, 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.
17Klesse, 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.
18Koirala, 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.
19Lu, 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.
20Marchand, 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.
21Montane, 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.
22Papale, 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.
23Pappas, 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.
24Reiche, 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.
25Reiche, 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.
26Reiche, 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.
27Santos, 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.
28Seftigen, 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.
29Sippel, 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.
30Sippel, 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.
31Tramontana, 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.
32Trouet, 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.
33Urban, 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.
34Vaglio 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.
35Vaglio 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.
36Vaglio 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.
37Vaglio 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.
38Vaglio 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.
39Vaglio 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.
40Vicari, 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.
41Vittucci, 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.
42Vittucci, 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).
43Vittucci, 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.
44Wilkes, 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.
45Wu, 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.
46Zhang, 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.
47Zscheischler, 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.