Keenan, T. F. et al. Net carbon uptake has increased through warming-induced changes in temperate forest phenology. Nat. Clim. Chang. 4, 598–604 (2014).
Google Scholar
Buermann, W. et al. Widespread seasonal compensation effects of spring warming on northern plant productivity. Nature 562, 110–114 (2018).
Google Scholar
Finzi, A. C. et al. Carbon budget of the Harvard Forest Long-Term Ecological Research site: pattern, process, and response to global change. Ecol. Monogr. 90, e01423 (2020).
Google Scholar
Keeling, C. D., Chin, J. F. S. & Whorf, T. P. Increased activity of northern vegetation inferred from atmospheric CO2 measurements. Nature 382, 146–149 (1996).
Google Scholar
Dragoni, D. et al. Evidence of increased net ecosystem productivity associated with a longer vegetated season in a deciduous forest in south-central Indiana, USA. Glob. Chang. Biol. 17, 886–897 (2011).
Google Scholar
Zhou, S. et al. Explaining inter-annual variability of gross primary productivity from plant phenology and physiology. Agric. For. Meteorol. 226–227, 246–256 (2016).
Google Scholar
Fu, Z. et al. Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange. Glob. Chang. Biol. 25, 3381–3394 (2019).
Google Scholar
Savage, J. A. & Chuine, I. Coordination of spring vascular and organ phenology in deciduous angiosperms growing in seasonally cold climates. New Phytol. 230, 1700–1715 (2021).
Google Scholar
Delpierre, N. et al. Temperate and boreal forest tree phenology: from organ-scale processes to terrestrial ecosystem models. Ann. For. Sci. 73, 5–25 (2016).
Google Scholar
Xue, B.-L. et al. Global patterns of woody residence time and its influence on model simulation of aboveground biomass. Global Biogeochem. Cycles 31, 821–835 (2017).
Google Scholar
Russell, M. B. et al. Residence times and decay rates of downed woody debris biomass/carbon in eastern US forests. Ecosystems 17, 765–777 (2014).
Google Scholar
Richardson, A. D. et al. Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site Synthesis. Glob. Chang. Biol. 18, 566–584 (2012).
Google Scholar
Harris, N. L. et al. Global maps of twenty-first century forest carbon fluxes. Nat. Clim. Chang. 11, 234–240 (2021).
Google Scholar
Pugh, T. A. M. et al. Role of forest regrowth in global carbon sink dynamics. Proc. Natl Acad. Sci. USA 116, 4382–4387 (2019).
Google Scholar
Ahlström, A., Schurgers, G., Arneth, A. & Smith, B. Robustness and uncertainty in terrestrial ecosystem carbon response to CMIP5 climate change projections. Environ. Res. Lett. 7, 044008 (2012).
Google Scholar
Friedlingstein, P. et al. Global carbon budget 2020. Earth Syst. Sci. Data 12, 3269–3340 (2020).
Google Scholar
Fatichi, S., Leuzinger, S. & Körner, C. Moving beyond photosynthesis: from carbon source to sink-driven vegetation modeling. New Phytol. 201, 1086–1095 (2014).
Google Scholar
Lu, X. & Keenan, T. F. No evidence for a negative effect of growing season photosynthesis on leaf senescence timing. Glob. Chang. Biol. 28, 3083–3093 (2022).
Google Scholar
Jiang, M. et al. The fate of carbon in a mature forest under carbon dioxide enrichment. Nature 580, 227–231 (2020).
Google Scholar
Oishi, A. C. et al. Warmer temperatures reduce net carbon uptake, but do not affect water use, in a mature southern Appalachian forest. Agric. For. Meteorol. 252, 269–282 (2018).
Google Scholar
Delpierre, N., Berveiller, D., Granda, E. & Dufrêne, E. Wood phenology, not carbon input, controls the interannual variability of wood growth in a temperate oak forest. New Phytol. 210, 459–470 (2016).
Google Scholar
Huang, J.-G. et al. Photoperiod and temperature as dominant environmental drivers triggering secondary growth resumption in Northern Hemisphere conifers. Proc. Natl Acad. Sci. USA 117, 20645–20652 (2020).
Google Scholar
Rossi, S. et al. Critical temperatures for xylogenesis in conifers of cold climates. Global Ecol. Biogeogr. 17, 696–707 (2008).
Google Scholar
Babst, F. et al. Twentieth century redistribution in climatic drivers of global tree growth. Sci. Adv. 5, eaat4313 (2019).
Google Scholar
Gao, S. et al. An earlier start of the thermal growing season enhances tree growth in cold humid areas but not in dry areas. Nat. Ecol. Evol. 6, 397–404 (2022).
Google Scholar
Zweifel, R. et al. Why trees grow at night. New Phytol. 231, 2174–2185 (2021).
Google Scholar
Tumajer, J., Scharnweber, T., Smiljanic, M. & Wilmking, M. Limitation by vapour pressure deficit shapes different intra-annual growth patterns of diffuse- and ring-porous temperate broadleaves. New Phytol. 233, 2429–2441 (2022).
Google Scholar
Etzold, S. et al. Number of growth days and not length of the growth period determines radial stem growth of temperate trees. Ecol. Lett. 25, 427–439 (2022).
Google Scholar
Zani, D., Crowther, T. W., Mo, L., Renner, S. S. & Zohner, C. M. Increased growing-season productivity drives earlier autumn leaf senescence in temperate trees. Science 370, 1066–1071 (2020).
Google Scholar
Zohner, C. M., Renner, S. S., Sebald, V. & Crowther, T. W. How changes in spring and autumn phenology translate into growth-experimental evidence of asymmetric effects. J. Ecol. 109, 2717–2728 (2021).
Google Scholar
Cabon, A. et al. Cross-biome synthesis of source versus sink limits to tree growth. Science 376, 758–761 (2022).
Google Scholar
D’Orangeville, L. et al. Drought timing and local climate determine the sensitivity of eastern temperate forests to drought. Glob. Chang. Biol. 24, 2339–2351 (2018).
Google Scholar
Helcoski, R. et al. Growing season moisture drives interannual variation in woody productivity of a temperate deciduous forest. New Phytol. 223, 1204–1216 (2019).
Google Scholar
McMahon, S. M. & Parker, G. G. A general model of intra-annual tree growth using dendrometer bands. Ecol. Evol. 5, 243–254 (2015).
Google Scholar
D’Orangeville, L. et al. Peak radial growth of diffuse-porous species occurs during periods of lower water availability than for ring-porous and coniferous trees. Tree Physiol. 42, 304–316 (2022).
Google Scholar
Richardson, A. D. et al. Seasonal dynamics and age of stemwood nonstructural carbohydrates in temperate forest trees. New Phytol. 197, 850–861 (2013).
Google Scholar
Elmore, A. J., Nelson, D. M. & Craine, J. M. Earlier springs are causing reduced nitrogen availability in North American eastern deciduous forests. Nat. Plants 2, 16133 (2016).
Google Scholar
Cuny, H. E. et al. Woody biomass production lags stem-girth increase by over one month in coniferous forests. Nat. Plants 1, 15160 (2015).
Google Scholar
Tardif, J. C. & Conciatori, F. Influence of climate on tree rings and vessel features in red oak and white oak growing near their northern distribution limit, southwestern Quebec, Canada. Can. J. For. Res. 36, 2317–2330 (2006).
Google Scholar
Roibu, C.-C. et al. The climatic response of tree ring width components of ash (Fraxinus excelsior L.) and common oak (Quercus robur L.) from eastern Europe. Forests 11, 600 (2020).
Google Scholar
Kern, Z. et al. Multiple tree-ring proxies (earlywood width, latewood width and δ13C) from pedunculate oak (Quercus robur L.), Hungary. Quat. Int. 293, 257–267 (2013).
Google Scholar
Trumbore, S., Gaudinski, J. B., Hanson, P. J. & Southon, J. R. Quantifying ecosystem-atmosphere carbon exchange with a 14C label. Eos. Trans. Am. Geophys. Union 83, 265–268 (2002).
Google Scholar
Del Mar Delgado, M. et al. Differences in spatial versus temporal reaction norms for spring and autumn phenological events. Proc. Natl Acad. Sci. USA 117, 31249–31258 (2020).
Google Scholar
Anderson-Teixeira, K. J. et al. Joint effects of climate, tree size, and year on annual tree growth derived from tree-ring records of ten globally distributed forests. Glob. Chang. Biol. 28, 245–266 (2022).
Google Scholar
Banbury Morgan, R. et al. Global patterns of forest autotrophic carbon fluxes. Glob. Chang. Biol. 27, 2840–2855 (2021).
Google Scholar
Churkina, G., Schimel, D., Braswell, B. H. & Xiao, X. Spatial analysis of growing season length control over net ecosystem exchange. Glob. Chang. Biol. 11, 1777–1787 (2005).
Google Scholar
Liu, H. et al. Phenological mismatches between above- and belowground plant responses to climate warming. Nat. Clim. Chang. 12, 97–102 (2022).
Google Scholar
Novick, K. A. et al. The increasing importance of atmospheric demand for ecosystem water and carbon fluxes. Nat. Clim. Chang. 6, 1023–1027 (2016).
Google Scholar
Zhang, J. et al. Drought limits wood production of Juniperus przewalskii even as growing seasons lengthens in a cold and arid environment. CATENA 196, 104936 (2021).
Google Scholar
Lian, X. et al. Summer soil drying exacerbated by earlier spring greening of northern vegetation. Sci. Adv. 6, eaax0255 (2022).
Google Scholar
Bourg, N. A., McShea, W. J., Thompson, J. R., McGarvey, J. C. & Shen, X. Initial census, woody seedling, seed rain, and stand structure data for the SCBI SIGEO Large Forest Dynamics Plot. Ecology 94, 2111–2112 (2013).
Google Scholar
Anderson-Teixeira, K. J. et al. CTFS-ForestGEO: a worldwide network monitoring forests in an era of global change. Glob. Chang. Biol. 21, 528–549 (2015).
Google Scholar
Davies, S. J. et al. ForestGEO: understanding forest diversity and dynamics through a global observatory network. Biol. Conserv. 253, 108907 (2021).
Google Scholar
Harris, I., Osborn, T. J., Jones, P. & Lister, D. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci. Data 7, 109 (2020).
Google Scholar
Vicente-Serrano, S. M., Beguería, S. & López-Moreno, J. I. A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J. Clim. 23, 1696–1718 (2010).
Google Scholar
Herrmann, V. et al. Tree circumference dynamics in four forests characterized using automated dendrometer bands. PLoS ONE 11, e0169020 (2016).
Google Scholar
Friedl, M., Gray, J. & Sulla-Menashe, D. MCD12Q2 MODIS/Terra+Aqua Land Cover Dynamics Yearly L3 Global 500m SIN Grid V006. LAADS DAAC https://doi.org/10.5067/MODIS/MCD12Q2.006 (2019).
Anderson-Teixeira, K. et al. Forestgeo/Climate: initial release. Zenodo https://doi.org/10.5281/ZENODO.4041609 (2020).
Benestad, R. E., Hanssen-Bauer, I. & Chen, D. Empirical-Statistical Downscaling (World Scientific, 2008).
Boose, E. & Gould, E. Shaler Meteorological Station at Harvard Forest 1964–2002. Environmental Data Initiative https://doi.org/10.6073/PASTA/213335F5DAA17222A738C105B9FA60C4 (2021).
Boose, E. Fisher Meteorological Station at Harvard Forest since 2001. Environmental Data Initiative https://doi.org/10.6073/PASTA/69E92642B512897032446CFE795CFFB8 (2021).
Beguería, S., Vicente-Serrano, S. M., Reig, F. & Latorre, B. Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. Int. J. Climatol. 34, 3001–3023 (2014).
Google Scholar
van de Pol, M. et al. Identifying the best climatic predictors in ecology and evolution. Methods Ecol. Evol. 7, 1246–1257 (2016).
Google Scholar
Gabry, J. et al. Rstanarm: Bayesian applied regression modeling via Stan. R package version 2.21.1 https://mc-stan.org/rstanarm (2020).
Stan Development Team. Stan modeling language users guide and reference manual, 2.28. https://mc-stan.org/users/documentation/ (2019).
Stokes, M. A. & Smiley, T. L. An Introduction to Tree-ring Dating (Univ. Arizona Press, 1968).
Speer, J. H. Fundamentals of Tree-ring Research (Univ. Arizona Press, 2010).
Alexander, M. R. et al. The potential to strengthen temperature reconstructions in ecoregions with limited tree line using a multispecies approach. Quat. Res. 92, 583–597 (2019).
Google Scholar
Dye, A. et al. Comparing tree-ring and permanent plot estimates of aboveground net primary production in three eastern U.S. forests. Ecosphere 7, e01454 (2016).
Google Scholar
Pederson, N. Climatic Sensitivity and Growth of Southern Temperate Trees in the Eastern United States: Implications for the Carbon Cycle—ProQuest (Columbia Univ., 2005).
Maxwell, J. T. et al. Sampling density and date along with species selection influence spatial representation of tree-ring reconstructions. Clim. Past 16, 1901–1916 (2020).
Google Scholar
Cook, E. R. & Kairiukstis, L. A. Methods of Dendrochronology: Applications in the Environmental Sciences (Springer Netherlands, 1990).
Cook, E. R. A Time Series Analysis Approach to Tree Ring Standardization (Univ. Arizona, 1985).
Cook, E. R. & Peters, K. Calculating unbiased tree-ring indices for the study of climatic and environmental change. Holocene 7, 361–370 (1997).
Google Scholar
Jones, P. D., Osborn, T. J. & Briffa, K. R. Estimating sampling errors in large-scale temperature averages. J. Clim. 10, 2548–2568 (1997).
Google Scholar
R Core Team. R: A Language and Environment for Statistical Computing. http://www.R-project.org/ (R Foundation for Statistical Computing, 2020).
Bunn, A. G. A dendrochronology program library in R (dplR). Dendrochronologia 26, 115–124 (2008).
Google Scholar
Zang, C. & Biondi, F. Dendroclimatic calibration in R: the bootRes package for response and correlation function analysis. Dendrochronologia 31, 68–74 (2013).
Google Scholar