The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.
Climate-driven risks to the climate mitigation potential of forests
Abstract
Risks to mitigation potential of forests: Much recent attention has focused on the potential of trees and forests to mitigate ongoing climate change by acting as sinks for carbon. Anderegg et al. review the growing evidence that forests' climate mitigation potential is increasingly at risk from a range of adversities that limit forest growth and health. These include physical factors such as drought and fire and biotic factors, including the depredations of insect herbivores and fungal pathogens. Full assessment and quantification of these risks, which themselves are influenced by climate, is key to achieving science-based policy outcomes for effective land and forest management. Science , this issue p. eaaz7005
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“At the same time, the West Coast experiences catastrophic wildfires fueled by climate change-driven droughts [2] and a hundred years of misinformed forest management strategies [35],Steel, Safford, and [24, 38].”
From DIY mass timber: development of low-tech and low-cost structural mass timber manufacturing to support forest utilization in California (2025) · cites this paper as [2]
In the citing paper
“These climate change impacts also amplify the impacts of forest mismanagement (12) (Section 3).”
From Restoring Degraded Lands (2021) · cites this paper as [12]
In the citing paper
“Future climate change is expected to accelerate degradation most strongly through weather extremes (heatwaves, drought, floods) and associated episodic events such as wildfire and insect outbreaks (12), given that these extremes override the positive impacts that might arise from trends in temperature, precipitation, or CO 2 .”
From Restoring Degraded Lands (2021) · cites this paper as [12]
In the citing paper
“Furthermore, relying on forests for long-term carbon sequestration is a risk, particularly for monocultures with high vulnerability to storms, fire, or pest outbreaks (12,116).”
From Restoring Degraded Lands (2021) · cites this paper as [12]
In the citing paper
“Future climate change will cause shifts in species distributions and ranges that may go beyond the boundaries of static protected areas and/or increase the number and frequency of episodic, forest stand-destroying events such as wildfire or insect and pest outbreaks (12).”
From Restoring Degraded Lands (2021) · cites this paper as [12]
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
Self-citationA 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
Self-citationAllen, 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 6,572
Drought under global warming: a review
Dai, A. (2011) · WIREs Climate Change · doi:10.1002/wcc.81 · Cited by 3,523
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
Irreversible climate change due to carbon dioxide emissions
Solomon, S., Plattner, G.-K., Knutti, R., & Friedlingstein, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812721106 · Cited by 3,217
Impact of anthropogenic climate change on wildfire across western US forests
Abatzoglou, J. T., & Williams, A. P. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1607171113 · Cited by 3,073
Forest disturbances under climate change
Seidl, R., Thom, D., Kautz, M., Martin-Benito, D., Peltoniemi, M., Vacchiano, G., Wild, J., Ascoli, D., Petr, M., Honkaniemi, J., et al. (2017) · Nature Climate Change · doi:10.1038/nclimate3303 · Cited by 2,878
(2010) · doi:10.5194/acp-10-11707-2010 · Cited by 2,859
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- G. Simonet A. B. Bos A. E. Duchelle I. A. P. Resosudarmo J. Subervie S. Wunder in Transforming REDD+: Lessons and New Directions A. Angelsen Ed. (Center for International Forestry Research 2018) pp. 117–130.
Cited by
Sorted by citations
Items 401–500 of 853
Iglesias, M. C., Hermoso, V., Azevedo, J., Campos, J. C., Salgado‐Rojas, J., Sil, Â. F., & Regos, A. (2025) · Ecosystem Services · doi:10.1016/j.ecoser.2025.101742 · Cited by 8
Interactive role-play with climate policy simulation can motivate evidence-based climate action
Rooney‐Varga, J. N., Coleman, R. L., Jones, A. P., Kapmeier, F., Newsome, P., Noiseux, K., Patten, B., Rath, K., & Sterman, J. D. (2025) · Communications Earth & Environment · doi:10.1038/s43247-025-02744-w · Cited by 8
Kuprin, A., & Baklanova, V. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262010143 · Cited by 8
Carbon Emissions from Forest Disturbances Under Global Change
de‐Miguel, S., Birhanu, A., Menor, I. O., Ascoli, D., Spadoni, G. L., & Erdozain, M. (2025) · Current Forestry Reports · doi:10.1007/s40725-025-00257-5 · Cited by 10
Ghalami, R. Z., Duszyn, M., & Karpiński, S. M. (2026) · Cells · doi:10.3390/cells15010075 · Cited by 11
Wang, L., Yue, Y., Shi, L., Wang, W., Cui, J., Li, Q. Y., 梁卜义, Xu, C., Liu, H., Brandt, M., et al. (2026) · GIScience & Remote Sensing · doi:10.1080/15481603.2025.2610841 · Cited by 8
Forest carbon protocols underestimate climate-driven carbon loss risks
Wu, C., Badgley, G., Goulden, M. L., Randerson, J. T., Trugman, A. T., Wang, J. A., Yang, L., Acil, N., Cook‐Patton, S. C., Cullenward, D., et al. (2026) · Nature · doi:10.1038/s41586-026-10571-y · Cited by 11
Self-citationPovak, N. A., Manley, P. N., & Wilson, K. N. (2024) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2024.1286937 · Cited by 8
Trade‐offs among management objectives in mature Douglas‐fir forests of the Pacific Northwest
Williams, N., & Powers, M. (2024) · Ecosphere · doi:10.1002/ecs2.4787 · Cited by 7
Arlati, A. (2024) · Futures · doi:10.1016/j.futures.2024.103403 · Cited by 8
Mantovani, V. A., Terra, M. D. C. N. S., de Mello, C. R., Rodrigues, A. F., de Oliveira, V. A., & Pinto, L. O. R. (2021) · Forest Science · doi:10.1093/forsci/fxab056 · Cited by 8
Large carbon sink potential of Amazonian Secondary Forests to mitigate climate changePreprint
Heinrich, V., Dalagnol, R., Cassol, H., Rosan, T. M., de Almeida, C. T., Silva, C. H. L., Campanharo, W. A., House, J. I., Sitch, S. A., Hales, T. C., et al. (2020) · doi:10.21203/rs.3.rs-71626/v1 · Cited by 8
Xiao-juan, X., Liu, J., Qiu, J., Zhang, K., Jiao, F., Lin, D., Yang, Y., Lin, N., & Zou, C. (2024) · Land Degradation and Development · doi:10.1002/ldr.5117 · Cited by 7
Carter, E., vonHedemann, N., & Schultz, C. A. (2024) · Regional Environmental Change · doi:10.1007/s10113-024-02249-w · Cited by 8
Population and community ecology: past progress and future directions
Krebs, C. J., Boutin, S. A., & Boonstra, R. (2024) · Integrative Zoology · doi:10.1111/1749-4877.12863 · Cited by 7
Lee, S., Lee, A., Byeon, J., & Oh, S. H. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.175707 · Cited by 7
Baliva, M., Palli, J., Perri, F., Iovino, F., Luzzi, G., & Piovesan, G. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.175806 · Cited by 10
Climate Change and Forest Sector in India
Rawat, R. S., & Rawat, V. (2025) · Springer eBooks · doi:10.1007/978-981-97-8289-5_12 · Cited by 7
Lee, G., Kim, H., Min, K. W., Hwang, T.-M., Kim, E., Lee, J., & Kang, D. (2025) · Sustainability · doi:10.3390/su17051887 · Cited by 7
Wang, W., Shang, J., Gao, T., Chen, C., Zhu, S., & Zong, Y. (2025) · Industrial Crops and Products · doi:10.1016/j.indcrop.2025.121040 · Cited by 7
Hua, J., Wang, W., Huo, J., Wu, L., Huang, L., & Zhong, H. (2025) · Ecology and Evolution · doi:10.1002/ece3.71172 · Cited by 7
Bu, Z., Zeng, S., & Zhao, X. (2025) · Energy · doi:10.1016/j.energy.2025.137375 · Cited by 7
Increasing constraint of aridity on tree intrinsic water use efficiency
Wang, M., Peng, S., Lu, Z., Xu, X., Felton, A. J., & Chen, A. (2025) · Nature Communications · doi:10.1038/s41467-025-62845-0 · Cited by 7
Liang, X., Cong, X., Du, B., Ju, Y., Wang, Y., & Li, D. (2025) · Sustainability · doi:10.3390/su17219501 · Cited by 7
Ma, T., He, W., Fang, S., Xiao, J., Nguyen, N. T., Yang, H., Xu, P., Huang, C., Zhao, M., Liu, S., et al. (2026) · Global Change Biology · doi:10.1111/gcb.70722 · Cited by 7
Attackers gain the upper hand over plants in the face of rapid global change
Austin, A. T., & Ballaré, C. L. (2023) · Current Biology · doi:10.1016/j.cub.2023.03.082 · Cited by 7
Álvarez, C., Moreno, G., Valenzuela, F., Rivera, J. I., Ebensperger, F., Reszka, P., & Fuentes, A. (2023) · Fire Safety Journal · doi:10.1016/j.firesaf.2023.103923 · Cited by 7
The predictability of near‐term forest biomass change in boreal North America
Burrell, A. L., Cooperdock, S. C., Potter, S., Berner, L. T., Hember, R., Macander, M. J., Walker, X. J., Massey, R., Foster, A. C., Mack, M. C., et al. (2024) · Ecosphere · doi:10.1002/ecs2.4737 · Cited by 7
Self-citationZhu, X., Pan, J., & Wu, X. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e25305 · Cited by 7
Preinfalk, E., & Handmer, J. W. (2024) · Climate Risk Management · doi:10.1016/j.crm.2024.100638 · Cited by 7
Lauerwald, R., Bastos, A., McGrath, M. J., Petrescu, A. M. R., Ritter, F., Andrew, R. M., Berchet, A., Broquet, G., Brunner, D., Chevallier, F., et al. (2024) · Global Biogeochemical Cycles · doi:10.1029/2024gb008141 · Cited by 12
Self-citationIlintsev, A. S., Шамонтьев, И. Г., & Tretyakov, S. V. (2020) · Forestry Engineering Journal · doi:10.34220/issn.2222-7962/2020.3/4 · Cited by 7
Why Emissions Pricing Can’t Do It Alone
Hall, D., & McLachlan, R. I. (2022) · Policy Quarterly · doi:10.26686/pq.v18i1.7496 · Cited by 7
González, M. E., Lara, A., Urrutia‐Jalabert, R., Bustos‐Salazar, A., Ruiz-Gómez, C., & Aravena, J. C. (2022) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2022.960429 · Cited by 7
Climate Change Mitigation in Forestry: Paying for Carbon Stock or for Sequestration?
Enríquez‐de‐Salamanca, Á. (2022) · Atmosphere · doi:10.3390/atmos13101611 · Cited by 13
Nature-based climate solutions require a mix of socioeconomic and governance attributes
Asamoah, E. F., & Maina, J. M. (2022) · iScience · doi:10.1016/j.isci.2022.105699 · Cited by 7
Open science priorities for rigorous nature-based climate solutions
Anderegg, W. R. L., Trugman, A. T., Wang, J. A., & Wu, C. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001929 · Cited by 7
Self-citationHillslope roughness reveals forest sensitivity to extreme winds
Doane, T. H., Yanites, B. J., Edmonds, D. A., & Novick, K. A. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2212105120 · Cited by 7
Recent Tree Mortality Dampens Semi‐Arid Forest Die‐Off During Subsequent Drought
Norlen, C. A., & Goulden, M. L. (2023) · AGU Advances · doi:10.1029/2022av000810 · Cited by 7
Mitigating near-term climate change
Wood, S. A., Hayhoe, K., Bradford, M. A., Kuebbing, S. E., Ellis, P. W., Fuller, E., & Bossio, D. (2023) · Environmental Research Letters · doi:10.1088/1748-9326/acfdbd · Cited by 7
Wei, Y.-S., Zhao, J., Javed, T., Ali, A., Huang, M.-T., Fu, H., Zhang, H., & Gao, S. (2024) · Plants · doi:10.3390/plants13060862 · Cited by 7
Teo, H. C., Raghavan, S. V., He, X., Zeng, Z., Cheng, Y., Luo, X., Lechner, A. M., Ashfold, M. J., Lamba, A., Sreekar, R., et al. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3989861 · Cited by 7
Sachsenmaier, L., Schnabel, F., Dietrich, P., Eisenhauer, N., Ferlian, O., Quosh, J., Richter, R., & Wirth, C. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.23.576797 · Cited by 7
Anderegg, W. R. L., Trugman, A. T., German Vargas, G., Wu, C., & Yang, L. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.28.587000 · Cited by 7
Self-citationXue, R., Jiao, L., Zhang, P., Wei, M., Wang, X., Li, Q., & Qi, C. (2023) · Global Ecology and Conservation · doi:10.1016/j.gecco.2023.e02743 · Cited by 6
Shrestha, A., Hicke, J. A., Meddens, A. J. H., Karl, J. W., & Stahl, A. T. (2024) · Remote Sensing · doi:10.3390/rs16081365 · Cited by 6
Self-citationSapling recruitment as an indicator of carbon resiliency in forests of the northern USA
Harris, L. B., Woodall, C. W., & D’Amato, A. W. (2024) · Ecology and Evolution · doi:10.1002/ece3.70077 · Cited by 7
Rouhette, T., Escobar, N., Zhao, X., Sanz, M. J., & de Ven, D.-J. V. (2024) · Environmental Research Letters · doi:10.1088/1748-9326/ad7748 · Cited by 9
Casas-Gómez, P., Torres, J. F., Linares, J. C., Troncoso, A., & Alvarez, F. M. (2024) · Ecological Informatics · doi:10.1016/j.ecoinf.2024.102951 · Cited by 6
Klepacka, A. M., Romaniuk, A. A., Gajda, J., & Chećko, E. (2025) · Sustainability · doi:10.3390/su17031027 · Cited by 6
Age and moisture affect the relationship between competition and tree growth
Han, X., Gao, L., Liu, M., Zhu, Y., Cui, K., Zhang, X., Zhao, X., Zhang, R., von Gadow, K., Tian, Y., et al. (2025) · Global Ecology and Conservation · doi:10.1016/j.gecco.2025.e03464 · Cited by 6
Shan, R., Feng, G., Wang, S., Veresoglou, S. D., Hu, M., & Ma, Z. (2025) · Global Change Biology · doi:10.1111/gcb.70097 · Cited by 6
Forest tree breeding under the global environmental change: Challenges and opportunities
Li, C., Li, B., Zhao, W., Jiang, J., & Tang, J. (2025) · Trees Forests and People · doi:10.1016/j.tfp.2025.100867 · Cited by 6
The use of UAV-based systems in monitoring forest health: Potentials and challenges
Manase, A., Manyevere, A., Elbasit, M. A. M. A., & Mashamaite, C. V. (2025) · Scientific African · doi:10.1016/j.sciaf.2025.e02724 · Cited by 6
Mariani, G., Guiet, J., Bianchi, D., DeVries, T., Barrier, N., Troussellier, M., & Mouillot, D. (2025) · Nature Communications · doi:10.1038/s41467-025-64576-8 · Cited by 6
Avoiding over-crediting of forestry carbon offsets under the new global carbon market
Pan, C., Zhou, G., Innes, J. L., Niles, J.-O., Berninger, F. A., & Wang, G. (2025) · Journal of Forestry Research · doi:10.1007/s11676-025-01940-w · Cited by 6
Zhou, G., Petticord, D. F., Wang, X., Niinemets, Ü., Zhang, Z., Jin, G., & Liu, Z. (2025) · New Phytologist · doi:10.1111/nph.70781 · Cited by 6
Tree growth response and adaptation to climate change and climate extremes: From canopy to stem
Yang, F., Zhu, L., Cao, J., Yang, F., Codogno, B., Ma, Q., Liang, H., Wang, W., & Huang, J. (2026) · Journal of Integrative Plant Biology · doi:10.1111/jipb.70145 · Cited by 7
Theoretical and Actual Carbon Sequestration Potential in China's Terrestrial Ecosystems
Wang, X., Deng, L. H., Ciais, P., Wu, J., Peng, C. H., Peñuelas, J., Zhao, X., Peng, S., Yue, C., Niu, S., et al. (2026) · Global Change Biology · doi:10.1111/gcb.70779 · Cited by 6
Self-citationEnhancing Forest Productivity, Value, and Health through Silviculture in a Changing World
Thiffault, N., & Pinno, B. D. (2021) · Forests · doi:10.3390/f12111550 · Cited by 6
Li, Y., Huang, Y., Li, X., Huo, X., Li, X., Xu, C., Li, Z., Xu, C., Xi, B., & Wu, X. (2023) · Forest Ecology and Management · doi:10.1016/j.foreco.2023.121131 · Cited by 6
Role of sulfur and its crosstalk with phytohormones under abiotic stress in plants
Islam, S. N. U., Arshad, M., Ahmad, S., & Asgher, M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-18927-2.00010-8 · Cited by 6
Liang, H., Che, L., Si, W., Liu, N., Wu, Z.-T., Du, Z.-Q., Shi, J.-W., Lei, T., Sun, B., & Jiang, S. (2024) · Journal of Forest Research · doi:10.1007/s11676-024-01750-6 · Cited by 6
Negative impacts of future forest succession on three threatened butterfly species
Sunde, J., Askling, J., Kindvall, O., Johansson, V., & Franzén, M. (2024) · Biodiversity and Conservation · doi:10.1007/s10531-024-02892-z · Cited by 6
Navarro-Cerrillo, R. M., & Salamanca, A. J. A. (2024) · Forest Ecology and Management · doi:10.1016/j.foreco.2024.122324 · Cited by 6
Recent fire history enhances semi-arid conifer forest drought resistance
Norlen, C. A., Hemes, K. S., Wang, J. A., Randerson, J. T., Battles, J. J., Tubbesing, C. L., & Goulden, M. L. (2024) · Forest Ecology and Management · doi:10.1016/j.foreco.2024.122331 · Cited by 6
Self-citationHow to measure the efficiency of bioenergy crops compared to forestation
Egerer, S., Falk, S., Mayer, D., Nützel, T., Obermeier, W. A., & Pongratz, J. (2024) · Biogeosciences · doi:10.5194/bg-21-5005-2024 · Cited by 7
Assessing Global Agricultural Greenhouse Gas Emissions: Key Drivers and Mitigation Strategies
Zhou, S., Liu, B., Wang, J., Jin, D., & Zhang, H. (2025) · Agronomy · doi:10.3390/agronomy15061336 · Cited by 6
Rapid assessment to facilitate climate‐informed conservation and nature‐based solutions
Oakes, L. E., Cross, M. S., & Zavaleta, E. S. (2021) · Conservation Science and Practice · doi:10.1111/csp2.472 · Cited by 7
Achieving effective outreach for invasive species: firewood case studies from 2005 to 2016
Solano, A., Rodriguez, S. L., Greenwood, L. F., Rosopa, P. J., & Coyle, D. R. (2022) · Biological Invasions · doi:10.1007/s10530-022-02848-w · Cited by 6
Wang, L., Bai, Y., Wang, J., Qin, F., Liu, C., Zhou, Z. Y., & Jiao, X. (2022) · Remote Sensing · doi:10.3390/rs14205216 · Cited by 6
Shen, G., Lan, T., Deng, S., Wang, Y., Xu, W., & Xie, Z. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.163186 · Cited by 6
Α Cross-Sector Data Space for Correlating Environmental Risks with Human Health
Kiourtis, A., Mavrogiorgou, A., & Kyriazis, D. (2024) · Lecture notes in business information processing · doi:10.1007/978-3-031-56478-9_17 · Cited by 6
Forest restoration for climate change mitigation and adaptation
Kübler, D., & Günter, S. (2024) · Oxford University Press eBooks · doi:10.1093/9780197683958.003.0006 · Cited by 6
Vegetation Health in China Is Severely Compromised by Drought, Wet and Heat Stress Events
Ma, P., Peng, J., Zheng, J., Liu, L., Yu, X., & Li, W. (2024) · Forests · doi:10.3390/f16010038 · Cited by 5
Defoliation and demography interact to affect oak survival in Southern New England
Plotkin, A. B., Keevan, B., MacLean, M. G., Shiffrin, G., & Thompson, J. R. (2025) · Forest Ecology and Management · doi:10.1016/j.foreco.2025.122507 · Cited by 5
Rosenvald, R., Rosenvald, K., Drenkhan, R., Drenkhan, T., Hobolainen, M., Lõhmus, P., Štšjogolev, S., Tedersoo, L., & Runnel, K. (2025) · Journal of Environmental Management · doi:10.1016/j.jenvman.2025.126066 · Cited by 5
Hydraulic Strategies Modulate Forest Productivity Responses to Hotter Droughts
Tijerín‐Triviño, J., Serra‐Maluquer, X., García‐Valdés, R., Zavala, M. A., García, M., Astigarraga, J., Cruz‐Alonso, V., Rebollo, P., Gazol, A., Rodes‐Blanco, M., et al. (2025) · Global Change Biology · doi:10.1111/gcb.70369 · Cited by 5
Yang, F., Xiong, Y., Wang, W., Hu, H., Lai, M., Zhang, C., Cao, J., Zhu, L., Fan, Q., Zhao, Y., et al. (2025) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2025.110759 · Cited by 5
F3-YOLO: A Robust and Fast Forest Fire Detection Model
Zhang, P., Zhao, X., Yang, X., Zhang, Z., Bi, C., & Zhang, L. (2025) · Forests · doi:10.3390/f16091368 · Cited by 7
Kumar, S., Karkala, J., Arya, J., & Chaturvedi, R. K. (2025) · Scientific Reports · doi:10.1038/s41598-025-22061-8 · Cited by 5
Karim, M. R., Ashrafizadeh, E., Saimun, M. S. R., Liao, W., Rana, P., & Khan, M. A. S. A. (2025) · Journal of Environmental Management · doi:10.1016/j.jenvman.2025.127916 · Cited by 5
Zaher, H., Rhoufacha, M., & Dahmani, H. (2025) · Journal of the Saudi Society of Agricultural Sciences · doi:10.1007/s44447-025-00054-3 · Cited by 5
FF-Mamba-YOLO: An SSM-Based Benchmark for Forest Fire Detection in UAV Remote Sensing Images
Guo, B., Liu, D., Shen, Z., & Wang, T. (2026) · Journal of Imaging · doi:10.3390/jimaging12010043 · Cited by 5
Li, Z., Lin, W., Guan, Z., Zhang, J., Chen, S., & You, W. (2024) · Journal of Forestry Research · doi:10.1007/s11676-024-01816-5 · Cited by 5
Qiu, W., Guo, R., Jia, D., Wu, M., Wang, Z., Zhang, L., Jiang, L., Li, M., & Hu, X. (2025) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2025.146060 · Cited by 7
Stanley, R., Carey, D. W., Mason, M. E., Doran, A., Wolf, J., Otoo, K. O., Poland, T. M., Koch, J. L., Jones, A. D., & Romero‐Severson, J. (2023) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2023.1166421 · Cited by 5
Climate change greatly escalates forest disturbance risks to US property values
Anderegg, W. R. L., Collins, T. W., Grineski, S. E., Nicholls, S., & Nolte, C. (2023) · Environmental Research Letters · doi:10.1088/1748-9326/ace639 · Cited by 7
Self-citationWang, X., Gao, X., Wu, Y., Jiang, H., & Wang, P. (2023) · Remote Sensing · doi:10.3390/rs15215118 · Cited by 5
Thirty years of forest productivity in a mountainous landscape: The Yin and Yang of topography
Perry, D. A., & Oetter, D. R. (2024) · Ecosphere · doi:10.1002/ecs2.4865 · Cited by 5
Titus, K., Dempsey, D. E., Peer, R., & Hanik, F. (2024) · Journal of the Royal Society of New Zealand · doi:10.1080/03036758.2024.2385807 · Cited by 5
Arcusa, S., & Hagood, E. (2024) · Mitigation and Adaptation Strategies for Global Change · doi:10.1007/s11027-024-10184-8 · Cited by 8
Serra‐Maluquer, X., Astigarraga, J., Morales‐Molino, C., & Ruiz‐Benito, P. (2025) · Ecography · doi:10.1002/ecog.07740 · Cited by 5
Liang, Y., Cai, Y., Wang, X., Li, C., & Liu, Q. (2021) · Journal of Hydrometeorology · doi:10.1175/jhm-d-21-0042.1 · Cited by 5
A Circumpolar Perspective on the Contribution of Trees to the Boreal Forest Carbon Balance
Pappas, C., Babst, F., Fatichi, S., Klesse, S., Paschalis, A., & Peters, R. L. (2023) · Advances in global change research · doi:10.1007/978-3-031-15988-6_10 · Cited by 8
Lobo, A., Find, J. I., Hansen, J. K., Ræbild, A., & Kjær, E. D. (2022) · Forest Ecology and Management · doi:10.1016/j.foreco.2022.120212 · Cited by 6
Climate risks to carbon sequestration in US forestsPreprint
Anderegg, W. R. L., Chegwidden, O., Badgley, G., Trugman, A. T., Cullenward, D., Abatzoglou, J. T., Hicke, J. A., Freeman, J., & Hamman, J. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.11.443688 · Cited by 5
Self-citationChanging climate response of Northeast Ohio white oaks, USA: Is it tree age or site age?
Wiles, G. C., Wiesenberg, N., Pollock, M., Denes, C., Cooper, T., Smith, D., & Wiles, M. (2025) · Dendrochronologia · doi:10.1016/j.dendro.2025.126307 · Cited by 4
Baghel, Y., Singh, L., Jhariya, M. K., Singh, A. K., Singh, J., Chaturvedi, R., & Singh, E. (2025) · Plant Ecology · doi:10.1007/s11258-025-01522-0 · Cited by 4
Susceptibility to Photosynthesis Suppression From Extreme Storms Is Highly Site‐Dependent
McCormick, E. L., Famiglietti, C. A., Feng, D., Michalak, A. M., & Konings, A. G. (2025) · Global Change Biology · doi:10.1111/gcb.70257 · Cited by 4
Metadata
- Authors
- Anderegg, W. R. L., Trugman, A. T., Badgley, G., Anderson, C. M., Bartuska, A., Ciais, P., Cullenward, D., Field, C. B., Freeman, J., Goetz, S. J., Hicke, J. A., Huntzinger, D., Jackson, R. B., Nickerson, J., Pacala, S., & Randerson, J. T.
- Affiliations
- University of Utah (US)
- University of California, Santa Barbara (US)
- World Wildlife Fund (US)
- Resources For The Future (US)
- Centre National de la Recherche Scientifique (FR)
- Stanford University (US)
- CarbonPlan, San Francisco, CA 94110, USA.
- Northern Arizona University (US)
- University of Idaho (US)
- Climate Action Reserve, Los Angeles, CA 90017, USA.
- Princeton University (US)
- University of California, Irvine (US)
- Corresponding author
- Anderegg, William R. L.
- ORCID
- Venue
- Science
- Published
- 2020-06-19
- Volume
- 368
- Issue
- 6497
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3035911052
- Cited by
- 854
- References
- 129
- Citations by year
- 2026: 152 · 2025: 183 · 2024: 159 · 2023: 138 · 2022: 107 · 2021: 99 · 2020: 15
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- David and Lucile Packard Foundation (NA)
- United States Department of Agriculture (2018-67019-27850, 2018-67012-28020)
- US National Science Foundation (1714972, 1802880, DMS-1520873)
- NASA Earth Ventures (NNL15AA03C)
- NASA Applied Sciences (NNX17AG51G)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Forestry › Forest Management and Policy
- Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Keywords
- forest carbon sink, forest stability, natural climate solutions, forest carbon sequestration, forest fires, drought, biotic disturbance, vegetation modeling, remote sensing of forests, climate change mitigation
- MeSH terms
- Fires, Policy Making, Droughts, Climate Change, Carbon Sequestration, Forests
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
