The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Spatial models reveal the microclimatic buffering capacity of old-growth forests
Open accessAbstract
Spatial models of under-canopy temperature show that old-growth forests are cooler in spring months than mature forest plantations.
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Cites
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A working guide to boosted regression trees
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nlme : linear and nonlinear mixed effects models. R package version 3.1-98
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Cited by
Global buffering of temperatures under forest canopies
De Frenne, P., Zellweger, F., Rodríguez-Sánchez, F., Scheffers, B. R., Hylander, K., Luoto, M., Vellend, M., Verheyen, K., & Lenoir, J. (2019) · Nature Ecology & Evolution · doi:10.1038/s41559-019-0842-1 · Cited by 787
Jucker, T., Hardwick, S. R., Both, S., Elias, D. M. O., Ewers, R. M., Milodowski, D. T., Swinfield, T., & Coomes, D. A. (2018) · Global Change Biology · doi:10.1111/gcb.14415 · Cited by 281
Thom, D., Golivets, M., Edling, L., Meigs, G. W., Gourevitch, J. D., Sonter, L. J., Galford, G. L., & Keeton, W. S. (2019) · Global Change Biology · doi:10.1111/gcb.14656 · Cited by 71
Six steps to integrate climate mitigation with adaptation for social justice
Ripple, W. J., Moomaw, W. R., Wolf, C., Betts, M. G., Law, B. E., Gregg, J., & Newsome, T. M. (2022) · Environmental Science & Policy · doi:10.1016/j.envsci.2021.11.007 · Cited by 26
Self-citation
Metadata
- Authors
- Frey, S. J. K., Hadley, A. S., Johnson, S. L., Schulze, M., Jones, J. A., & Betts, M. G.
- Venue
- Science Advances
- Published
- 2016-04
- Volume
- 2
- Issue
- 4
- Pages
- e1501392-e1501392
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W2338630180
- Cited by
- 369
- References
- 52
- FWCI
- 14.02
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Spatial models reveal the microclimatic buffering capacity of old-growth forests. https://app.cochat.ai/papers/10.1126/sciadv.1501392
- The paper
- Frey, S. J. K., Hadley, A. S., Johnson, S. L., Schulze, M., Jones, J. A., & Betts, M. G. (2016). Spatial models reveal the microclimatic buffering capacity of old-growth forests. Science Advances. https://doi.org/10.1126/sciadv.1501392
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
