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Advancing the study of driving forces of landscape change
Bürgi, M., Celio, E., Diogo, V., Hersperger, A. M., Kizos, T., Lieskovsky, J., … Verburg, P. H. (2022). Advancing the study of driving forces of landscape change. Journal of Land Use Science, 17(1), 540-545. https://doi.org/10.1080/1747423X.2022.2029599
How wild bees find a way in European cities: Pollen metabarcoding unravels multiple feeding strategies and their effects on distribution patterns in four wild bee species
Casanelles‐Abella, J., Müller, S., Keller, A., Aleixo, C., Alós Orti, M., Chiron, F., … Moretti, M. (2022). How wild bees find a way in European cities: Pollen metabarcoding unravels multiple feeding strategies and their effects on distribution patterns in four wild bee species. Journal of Applied Ecology, 59(2), 457-470. https://doi.org/10.1111/1365-2664.14063
Remote sensing scene classification via multi-branch local attention network
Chen, S. B., Wei, Q. S., Wang, W. Z., Tang, J., Luo, B., & Wang, Z. Y. (2022). Remote sensing scene classification via multi-branch local attention network. IEEE Transactions on Image Processing, 31, 99-109. https://doi.org/10.1109/TIP.2021.3127851
Growing stock monitoring by European National Forest Inventories: historical origins, current methods and harmonisation
Gschwantner, T., Alberdi, I., Bauwens, S., Bender, S., Borota, D., Bosela, M., … Tomter, S. M. (2022). Growing stock monitoring by European National Forest Inventories: historical origins, current methods and harmonisation. Forest Ecology and Management, 505, 119868 (22 pp.). https://doi.org/10.1016/j.foreco.2021.119868
Combining spectral, spatial-contextual, and structural information in multispectral UAV data for spruce crown delineation
Harikumar, A., D`Odorico, P., & Ensminger, I. (2022). Combining spectral, spatial-contextual, and structural information in multispectral UAV data for spruce crown delineation. Remote Sensing, 14(9), 2044 (19 pp.). https://doi.org/10.3390/rs14092044
Countrywide classification of permanent grassland habitats at high spatial resolution
Huber, N., Ginzler, C., Pazur, R., Descombes, P., Baltensweiler, A., Ecker, K., … Price, B. (2022). Countrywide classification of permanent grassland habitats at high spatial resolution. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/rse2.298
Uncertainty analysis of digital elevation models by spatial inference from stable terrain
Hugonnet, R., Brun, F., Berthier, E., Dehecq, A., Mannerfelt, E. S., Eckert, N., & Farinotti, D. (2022). Uncertainty analysis of digital elevation models by spatial inference from stable terrain. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 6456-6472. https://doi.org/10.1109/JSTARS.2022.3188922
Tallo: a global tree allometry and crown architecture database
Jucker, T., Fischer, F. J., Chave, J., Coomes, D. A., Caspersen, J., Ali, A., … Zavala, M. A. (2022). Tallo: a global tree allometry and crown architecture database. Global Change Biology, 28(17), 5254-5268. https://doi.org/10.1111/gcb.16302
Unveil the unseen: using LiDAR to capture time-lag dynamics in the herbaceous layer of European temperate forests
Lenoir, J., Gril, E., Durrieu, S., Horen, H., Laslier, M., Lembrechts, J. J., … Decocq, G. (2022). Unveil the unseen: using LiDAR to capture time-lag dynamics in the herbaceous layer of European temperate forests. Journal of Ecology, 110(2), 282-300. https://doi.org/10.1111/1365-2745.13837
The microwave snow grain size: a new concept to predict satellite observations over snow-covered regions
Picard, G., Löwe, H., Domine, F., Arnaud, L., Larue, F., Favier, V., … Royer, A. (2022). The microwave snow grain size: a new concept to predict satellite observations over snow-covered regions. AGU Advances, 3(4), e2021AV000630 (19 pp.). https://doi.org/10.1029/2021AV000630
Divergent responses of autumn vegetation phenology to climate extremes over northern middle and high latitudes
Wang, M., Li, P., Peng, C., Xiao, J., Zhou, X., Luo, Y., & Zhang, C. (2022). Divergent responses of autumn vegetation phenology to climate extremes over northern middle and high latitudes. Global Ecology and Biogeography, 31(11), 2281-2296. https://doi.org/10.1111/geb.13583
Remote sensing-supported mapping of the activity of a subterranean landscape engineer across an afro-alpine ecosystem
Wraase, L., Reuber, V. M., Kurth, P., Fekadu, M., Demissew, S., Miehe, G., … Nauss, T. (2022). Remote sensing-supported mapping of the activity of a subterranean landscape engineer across an afro-alpine ecosystem. Remote Sensing in Ecology and Conservation (15 pp.). https://doi.org/10.1002/rse2.303
Carbon storage and sequestration rates of trees inside and outside forests in Great Britain
Zellweger, F., Flack-Prain, S., Footring, J., Wilebore, B., & Willis, K. J. (2022). Carbon storage and sequestration rates of trees inside and outside forests in Great Britain. Environmental Research Letters, 17(7), 074004 (12 pp.). https://doi.org/10.1088/1748-9326/ac74d5
Avalanche protection forest: from process knowledge to interactive maps
Bebi, P., Bast, A., Helzel, K., Schmucki, G., Brozova, N., & Bühler, Y. (2021). Avalanche protection forest: from process knowledge to interactive maps. In J. Beguš & F. Berger (Eds.), Protective forests as Ecosystem-based solution for Disaster Risk Reduction (p. (11 pp.). https://doi.org/10.5772/intechopen.99514
Early infection by <em>Phytophthora agathidicida</em> up-regulates photosynthetic activity in<em> Agathis australis</em> seedlings
D'Souza, K. D., Scott, P., Williams, N., Bellgard, S. E., & Bader, M. K. F. (2021). Early infection by Phytophthora agathidicida up-regulates photosynthetic activity in Agathis australis seedlings. Forest Pathology, 51(2), e12680 (12 pp.). https://doi.org/10.1111/efp.12680
Can crown variables increase the generality of individual tree biomass equations?
Forrester, D. I., Dumbrell, I. C., Elms, S. R., Paul, K. I., Pinkard, E. A., Roxburgh, S. H., & Baker, T. G. (2021). Can crown variables increase the generality of individual tree biomass equations? Trees: Structure and Function, 35, 15-26. https://doi.org/10.1007/s00468-020-02006-6
Georeferencing oblique aerial wildfire photographs: an untapped source of fire behaviour data
Hart, H., Perrakis, D. D. B., Taylor, S. W., Bone, C., & Bozzini, C. (2021). Georeferencing oblique aerial wildfire photographs: an untapped source of fire behaviour data. Fire, 4(4), 81 (19 pp.). https://doi.org/10.3390/fire4040081
Snow wetness retrieved from close-range L-band radiometry in the western Greenland ablation zone
Houtz, D., Naderpour, R., & Schwank, M. (2021). Snow wetness retrieved from close-range L-band radiometry in the western Greenland ablation zone. Journal of Glaciology, 67(261), 27-38. https://doi.org/10.1017/jog.2020.79
A design-based assessment of an expanded set of auxiliary information for forest growth estimation
Massey, A., Lanz, A., & Ferretti, M. (2021). A design-based assessment of an expanded set of auxiliary information for forest growth estimation. Canadian Journal of Forest Research, 51(11), 1621-1632. https://doi.org/10.1139/cjfr-2020-0529
Restoring steppe landscapes: patterns, drivers and implications in Russia’s steppes
Pazur, R., Prishchepov, A. V., Myachina, K., Verburg, P. H., Levykin, S., Ponkina, E. V., … Bürgi, M. (2021). Restoring steppe landscapes: patterns, drivers and implications in Russia’s steppes. Landscape Ecology, 36, 407-425. https://doi.org/10.1007/s10980-020-01174-7
 

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