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Qi, W., & Baiocchi, G. (2026). When healthier eating emits more: Socioeconomic divergence in U.S. diet sustainability. Journal of Cleaner Production, 575, Article 149143. https://doi.org/10.1016/j.jclepro.2026.149143

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Xu, Y., Zhou, Q., Guan, K., Wang, S., Hively, W. D., Jennewein, J., Thieme, A., Mirsky, S. B., & Chen, Z. (2026). The impacts of cover crop biomass on satellite-based detectability of cover crops in Maryland. International Journal of Applied Earth Observation and Geoinformation, Article 105453. https://doi.org/10.1016/j.jag.2026.105453

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Chang, A., Zhuang, Y., Fu, R., Worden, J. R., Gu, Y., Costa, M. H., Guan, K., Zhang, J., Song, X.-P., Jiang, J. H. (2026). Rapid increases in heat-driven extreme moisture demand in the Southern Amazon. Geophysical Research Letters, 53, e2026GL123139. https://doi.org/10.1029/2026GL123139

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Pavlovic, N. R., Malings, C. A., Huang, M., He, Y., Diez, S., Bratburd, J., & Pant, P. (2026). Satellite-derived air quality data can effectively support health needs when use cases, Earth observing capabilities, and capacities align. Journal of the Air & Waste Management Association, 1–27. https://doi.org/10.1080/10962247.2026.2698602

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Andreassen, L. M., Askjaer, T. G., Ballinger, T. J., Berner, L. T., Bernhard, G. H., Bhatt, U. S., Bigalke, S., Bjerke, J. W., Bliss, A., Box, J. E., Brettschneider, B., Burgess, D., Butler, A. H., Christiansen, H. H., Crawford, A., Decharme, B., Derksen, C., Divine, D., Druckenmiller, M. L., Elias, C., Epstein, H. E., Farrell, S., … Veasey, S. W. (2026). The Arctic. Bulletin of the American Meteorological Society, 107(8). https://doi.org/10.1175/BAMS-D-26-0123.1

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Nunes, M. H., Muller-Landau, H. C., Görgens, E. B., Pascual, A., & Dubayah, R. (2026). Heterogeneous climatic controls on tropical-forest biomass. Nature. https://doi.org/10.1038/s41586-026-10880-2

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Xu, S., Wang, Z., Li, R., Wang, R., Ma, L., Hurtt, G. C., Jia, X., & Xie, Y. (2026). Knowledge-guided learning for global carbon flux prediction: Integrating high-level remote sensing with bottom-up physical modeling. Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, 12561–12572. https://doi.org/10.1145/3770855.3818927

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Midgette, G., & Gore, M. L. (2026). How illegal wildlife trade adheres to and defies conventional market behavior. Proceedings of the National Academy of Sciences, 123(33), Article e2525056123. https://doi.org/10.1073/pnas.2525056123

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Li, Y., Guo, B., O'Connor, T. D., Takala-Harrison, S., & Stewart, K. (2026). Improving malaria parasite gene flow inference under sparse spatial sampling. Molecular Ecology Resources, 26(6), Article e70182. https://doi.org/10.1111/1755-0998.70182

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Anderson, W., Becker-Reshef, I., Bodanac, N., Carneiro, B., English, D., Hoell, A., Hoffine, T., Liu, Y., Machefer, M., Meroni, M., Raleigh, C., Tatem, A. J., Trigwell, R., Vesco, P., & Vos, R. (2026). Responsible use of artificial intelligence and machine learning for food security early warning systems. Nature Food. https://doi.org/10.1038/s43016-026-01400-6

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Lal, P., Armston, J., Bhogapurapu, N., Urbazaev, M., Siqueira, P., Wessels, K. J., Dubayah, R., & Duncanson, L. (2026). Multi-frequency InSAR canopy height improves generalization of savanna biomass models. IEEE Geoscience and Remote Sensing Letters. https://doi.org/10.1109/LGRS.2026.3718772

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