Global forest dataset incongruence creates high uncertainties for conservation, climate, and development policy. Castle, S. E., Newton, P., Oldekop, J. A., Baylis, K., & Miller, D. C. One Earth, February, 2026. Publisher: Elsevier![Global forest dataset incongruence creates high uncertainties for conservation, climate, and development policy [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @article{castle_global_2026,
title = {Global forest dataset incongruence creates high uncertainties for conservation, climate, and development policy},
volume = {9},
issn = {2590-3330, 2590-3322},
url = {https://www.cell.com/one-earth/abstract/S2590-3322(25)00384-7},
doi = {10.1016/j.oneear.2025.101558},
language = {English},
number = {2},
urldate = {2026-05-22},
journal = {One Earth},
author = {Castle, Sarah E. and Newton, Peter and Oldekop, Johan A. and Baylis, Kathy and Miller, Daniel C.},
month = feb,
year = {2026},
note = {Publisher: Elsevier},
keywords = {NALCMS},
}
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