The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Local cooling and warming effects of forests based on satellite observations
Open accessAbstract
The biophysical effects of forests on climate have been extensively studied with climate models. However, models cannot accurately reproduce local climate effects due to their coarse spatial resolution and uncertainties, and field observations are valuable but often insufficient due to their limited coverage. Here we present new evidence acquired from global satellite data to analyse the biophysical effects of forests on local climate. Results show that tropical forests have a strong cooling effect throughout the year; temperate forests show moderate cooling in summer and moderate warming in winter with net cooling annually; and boreal forests have strong warming in winter and moderate cooling in summer with net warming annually. The spatiotemporal cooling or warming effects are mainly driven by the two competing biophysical effects, evapotranspiration and albedo, which in turn are strongly influenced by rainfall and snow. Implications of our satellite-based study could be useful for informing local forestry policies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
High-Resolution Global Maps of 21st-Century Forest Cover Change
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., et al. (2013) · Science · doi:10.1126/science.1244693 · Cited by 11,704
A large and persistent carbon sink in the world’s forests
Pan, Y., Birdsey, R. A., Fang, J., Houghton, R., Kauppi, P. E., Kurz, W. A., Phillips, O. L., Shvidenko, A., Lewis, S. L., Canadell, J. G., et al. (2011) · Science · doi:10.1126/science.1201609 · Cited by 8,458
Allen, C. D., Macalady, A. K., Chenchouni, H., Bachelet, D., McDowell, N., Vennetier, M., Kitzberger, T., Rigling, A., Breshears, D. D., Hogg, E. H. (., et al. (2010) · Forest Ecology and Management · doi:10.1016/j.foreco.2009.09.001 · Cited by 7,763
Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests
Bonan, G. B. (2008) · Science · doi:10.1126/science.1155121 · Cited by 6,238
Investigating soil moisture–climate interactions in a changing climate: A review
Seneviratne, S. I., Corti, T., Davin, E. L., Hirschi, M., Jaeger, E. B., Lehner, I., Orlowsky, B., & Teuling, A. J. (2010) · Earth-Science Reviews · doi:10.1016/j.earscirev.2010.02.004 · Cited by 5,638
Improvements to a MODIS global terrestrial evapotranspiration algorithm
Mu, Q., Zhao, M., & Running, S. W. (2011) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.02.019 · Cited by 2,816
Self-citationNew refinements and validation of the MODIS Land-Surface Temperature/Emissivity products
WAN, Z. (2008) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.06.026 · Cited by 1,214
Combined climate and carbon-cycle effects of large-scale deforestation
Bala, G., Caldeira, K., Wickett, M., Phillips, T. J., Lobell, D. B., Delire, C., & Mirin, A. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0608998104 · Cited by 957
The impact of boreal forest fire on climate warming
Randerson, J. T., Liu, H., Flanner, M. G., Chambers, S. D., Jin, Y., Hess, P. G., Pfister, G., Mack, M. C., Treseder, K. K., Welp, L. R., et al. (2006) · Science · doi:10.1126/science.1132075 · Cited by 896
Afforestation in China cools local land surface temperature
Peng, S.-S., Piao, S., Zeng, Z., Ciais, P., Zhou, L., Li, L. Z. X., Myneni, R. B., Yin, Y., & Zeng, H. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315126111 · Cited by 800
Cited by
Griscom, B. W., Adams, J., Ellis, P. W., Houghton, R. A., Lomax, G., Miteva, D. A., Schlesinger, W. H., Shoch, D., Siikamäki, J. V., Smith, P., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710465114 · Cited by 3,481
The role of soil carbon in natural climate solutions
Bossio, D. A., Cook-Patton, S. C., Ellis, P. W., Fargione, J., Sanderman, J., Smith, P., Wood, S., Zomer, R. J., von Unger, M., Emmer, I. M., et al. (2020) · Nature Sustainability · doi:10.1038/s41893-020-0491-z · Cited by 1,273
Trees, forests and water: cool insights for a hot world
Ellison, D., Morris, C. E., Locatelli, B., Sheil, D., Cohen, J., Murdiyarso, D., Gutierrez, V., Noordwijk, M. V., Creed, I. F., Pokorny, J., et al. (2017) · Global Environmental Change · doi:10.1016/j.gloenvcha.2017.01.002 · Cited by 1,249
Natural climate solutions for the United States
Fargione, J. E., Bassett, S., Boucher, T., Bridgham, S. D., Conant, R. T., Cook-Patton, S. C., Ellis, P. W., Falcucci, A., Fourqurean, J. W., Gopalakrishna, T., et al. (2018) · Science Advances · doi:10.1126/sciadv.aat1869 · Cited by 588
Satellites reveal contrasting responses of regional climate to the widespread greening of Earth
Forzieri, G., Alkama, R., Miralles, D. G., & Cescatti, A. (2017) · Science · doi:10.1126/science.aal1727 · Cited by 452
Metadata
- Authors
- Li, Y., Zhao, M., Motesharrei, S., Mu, Q., Kalnay, E., & Li, S.
- Venue
- Nature Communications
- Published
- 2015-03-31
- Volume
- 6
- Issue
- 1
- Pages
- 6603-6603
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2029422432
- Cited by
- 733
- References
- 50
- FWCI
- 29.56
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Local cooling and warming effects of forests based on satellite observations. https://app.cochat.ai/papers/10.1038/ncomms7603
- The paper
- Li, Y., Zhao, M., Motesharrei, S., Mu, Q., Kalnay, E., & Li, S. (2015). Local cooling and warming effects of forests based on satellite observations. Nature Communications. https://doi.org/10.1038/ncomms7603
Data sources
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.