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mikemahoney218 · Aug 25, 2023 · 1876741 · 1876741
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     <h3>2023</h3>
-    <p>Johnson, L. K., <strong>Mahoney, M. J.</strong>, Desrochers, M. L., and Beier, C. M. In Review. Mapping historical forest biomass for stock-change assessments at parcel to landscape scales. <a href="https://doi.org/10.48550/arXiv.2304.02632">https://doi.org/10.48550/arXiv.2304.02632</a> <a href='https://arxiv.org/pdf/2304.02632'>[PDF]</a></p>
     <p><strong>Mahoney, M. J.</strong> In Review. waywiser: Ergonomic methods for assessing spatial models. <a href="https://arxiv.org/abs/2303.11312">https://arxiv.org/abs/2303.11312</a> <a href='https://arxiv.org/pdf/2303.11312'>[PDF]</a></p>
     <p><strong>Mahoney, M. J.</strong>, Johnson, L. K., Silge, J., Frick, H., Kuhn, M., and Beier, C. M. In Review. Assessing the performance of spatial cross-validation approaches for models of spatially structured data. <a href="https://arxiv.org/abs/2303.07334">https://arxiv.org/abs/2303.07334</a> <a href='https://arxiv.org/pdf/2303.07334'>[PDF]</a></p>
+    <p>Johnson, L. K., <strong>Mahoney, M. J.</strong>, Desrochers, M. L., and Beier, C. M. 2023. Mapping historical forest biomass for stock-change assessments at parcel to landscape scales. <em>Forest Ecology and Management</em>, 546, 121348. <a href="https://doi.org/10.1016/j.foreco.2023.121348">https://doi.org/10.1016/j.foreco.2023.121348</a> <a href='historical_agb_2023.pdf'>[PDF]</a></p>
     <p><strong>Mahoney, M. J.</strong>, Johnson, L. K., and Beier, C. M. 2023. AI for shrubland identification and mapping. In Sun Z, Cristea N, Rivas P (eds.), _Artificial Intelligence in Earth Science_, 295-316. Elsevier. ISBN 978-0-323-91737-7. <a href="https://doi.org/10.1016/B978-0-323-91737-7.00010-4">https://doi.org/10.1016/B978-0-323-91737-7.00010-4</a> <a href='shrub_book_2023.pdf'>[PDF]</a></p>
     <h3>2022</h3>
     <p><strong>Mahoney, M. J.</strong>, Johnson, L. K., Guinan, A. Z., and Beier, C. M. 2022. Classification and mapping of low‑statured ’shrubland’ cover types in post‑agricultural landscapes of the US Northeast. <em>The International Journal of Remote Sensing</em>, 43(19‑24), 7117‑7138. <a href="https://doi.org/10.1080/01431161.2022.2155086">https://doi.org/10.1080/01431161.2022.2155086</a> <a href='shrubland_pub_2022.pdf'>[PDF]</a></p>