85 citations as recorded by crossref.

1. Predicting spatiotemporal variability in radial tree growth at the continental scale with machine learning P. Bodesheim et al. https://doi.org/10.1017/eds.2022.8
2. Armed-conflict risks enhanced by climate-related disasters in ethnically fractionalized countries C. Schleussner et al. https://doi.org/10.1073/pnas.1601611113
3. Global analysis of time-lag and -accumulation effects of climate on vegetation growth Y. Ding et al. https://doi.org/10.1016/j.jag.2020.102179
4. Breeding for climate adaptation: genetic variation and genomic selection for drought response in Scots pine R. Chaudhary et al. https://doi.org/10.1186/s12864-026-12849-x
5. Converging Climate Sensitivities of European Forests Between Observed Radial Tree Growth and Vegetation Models Z. Zhang et al. https://doi.org/10.1007/s10021-017-0157-5
6. Disentangling synchrony from serial dependency in paired-event time series A. Odenweller & R. Donner https://doi.org/10.1103/PhysRevE.101.052213
7. Excessive positive response of model‐simulated land net primary production to climate changes over circumboreal forests S. Tei & A. Sugimoto https://doi.org/10.1002/pei3.10025
8. The severity of dry and hot climate extremes and their related impacts on vegetation in Madagascar C. Gouveia et al. https://doi.org/10.1016/j.isci.2023.108658
9. Probabilistic assessments of the impacts of compound dry and hot events on global vegetation during growing seasons Y. Hao et al. https://doi.org/10.1088/1748-9326/ac1015
10. The detection and attribution of extreme reductions in vegetation growth across the global land surface H. Yang et al. https://doi.org/10.1111/gcb.16595
11. Multidimensional aspects of drought event evolution drive the spatiotemporal heterogeneity of vegetation photosynthetic responses X. Liu et al. https://doi.org/10.1016/j.jag.2026.105253
12. Satellite Observations of the Contrasting Response of Trees and Grasses to Variations in Water Availability S. Walther et al. https://doi.org/10.1029/2018GL080535
13. Increased stress from compound drought and heat events on vegetation S. Zhou et al. https://doi.org/10.1016/j.scitotenv.2024.175113
14. Identification of critical drought thresholds affecting vegetation on the Mongolian Plateau H. Li et al. https://doi.org/10.1016/j.ecolind.2024.112507
15. Climatically controlled reproduction drives interannual growth variability in a temperate tree species A. Hacket‐Pain et al. https://doi.org/10.1111/ele.13158
16. A novel approach for the identification of pointer years A. Buras et al. https://doi.org/10.1016/j.dendro.2020.125746
17. Event coincidence analysis for quantifying statistical interrelationships between event time series J. Donges et al. https://doi.org/10.1140/epjst/e2015-50233-y
18. Tree growth and its climate signal along latitudinal and altitudinal gradients: comparison of tree rings between Finland and the Tibetan Plateau L. Lyu et al. https://doi.org/10.5194/bg-14-3083-2017
19. Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystems S. Sippel et al. https://doi.org/10.1088/1748-9326/aa7398
20. Changes in Vegetation Dynamics and Relations with Extreme Climate on Multiple Time Scales in Guangxi, China L. Wang et al. https://doi.org/10.3390/rs14092013
21. Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China L. Wang et al. https://doi.org/10.3390/rs14215369
22. A Method for Reconstructing the Past Soil Temperature Based on Tree-Ring Widths S. Yuan et al. https://doi.org/10.1093/forsci/fxaa001
23. Missing Rings in Pinus halepensis – The Missing Link to Relate the Tree-Ring Record to Extreme Climatic Events K. Novak et al. https://doi.org/10.3389/fpls.2016.00727
24. Impact of temperature and precipitation extremes on the flowering dates of four German wildlife shrub species J. Siegmund et al. https://doi.org/10.5194/bg-13-5541-2016
25. Concurrent climate extremes and biological carryover effects dominate severe seasonal reductions in northern vegetation growth Y. Luo et al. https://doi.org/10.1016/j.oneear.2026.101624
26. Modeling directed weighted network based on event coincidence analysis and its application on spatial propagation characteristics L. Wang et al. https://doi.org/10.1063/5.0142001
27. Tree‐ring analysis and modeling approaches yield contrary response of circumboreal forest productivity to climate change S. Tei et al. https://doi.org/10.1111/gcb.13780
28. The effects of varying drought-heat signatures on terrestrial carbon dynamics and vegetation composition E. Tschumi et al. https://doi.org/10.5194/bg-19-1979-2022
29. Temporal changes in the relationship between tree‐ring growth and net primary production in northern Japan: a novel approach to the estimation of seasonal photosynthate allocation to the stem D. Koide & A. Ito https://doi.org/10.1007/s11284-018-1639-4
30. Strong and stable relationships between tree-ring parameters and forest-level carbon fluxes in a Siberian larch forest S. Tei et al. https://doi.org/10.1016/j.polar.2019.02.001
31. Reconstructing fossil insect communities and palaeoclimates for the Middle Jurassic Yanliao Biota in the Daohugou area of China L. Chen et al. https://doi.org/10.1016/j.scib.2024.11.010
32. Species-specific coupling of tree-ring width and litter production in a temperate mixed forest W. Zhang et al. https://doi.org/10.1016/j.foreco.2021.119831
33. Influence of forest infrastructure on the responses of ecosystem services to climate extremes in the Midwest and Northeast United States from 1980 to 2019 D. Kicklighter et al. https://doi.org/10.3389/fenvs.2023.1069451
34. A non-linear Granger-causality framework to investigate climate–vegetation dynamics C. Papagiannopoulou et al. https://doi.org/10.5194/gmd-10-1945-2017
35. Analysis of drought response thresholds and drought-causing factors of central Asian vegetation W. Tangjialeke et al. https://doi.org/10.1016/j.ecolind.2024.112926
36. Spatiotemporal variations of extreme climate and their effects on vegetation growth in the northern permafrost regions during 1982–2022 Y. Dong et al. https://doi.org/10.1016/j.catena.2025.109420
37. Deriving user-informed climate information from climate model ensemble results H. Huebener et al. https://doi.org/10.5194/asr-14-261-2017
38. Climate factors and oak decline based on tree-ring analysis. A case study of peri-urban forest in the Mediterranean area M. Romagnoli et al. https://doi.org/10.1016/j.ufug.2018.05.010
39. Drought, Heat, and the Carbon Cycle: a Review S. Sippel et al. https://doi.org/10.1007/s40641-018-0103-4
40. Drought explains variation in the radial growth of white spruce in western Canada L. Chen et al. https://doi.org/10.1016/j.agrformet.2016.11.012
41. A network method to analyze compound extreme events: Risk enhancement relationship and trigger causal relationship in high voice traffic and high data throughput events L. Wang et al. https://doi.org/10.1016/j.chaos.2024.115661
42. Time-Lag and Accumulation Effects of Climate Change on Habitat Quality in the Chinese Loess Plateau L. Chen & W. Wei https://doi.org/10.34133/ehs.0360
43. Global Assessment of Cumulative and Time-Lag Effects of Drought on Land Surface Phenology R. Zhou et al. https://doi.org/10.1080/15481603.2022.2143661
44. Radial Growth and Physiological Response of Coniferous Trees to Arctic Amplification S. Tei et al. https://doi.org/10.1002/2016JG003745
45. Compound Extremes in Hydroclimatology: A Review Z. Hao et al. https://doi.org/10.3390/w10060718
46. Assessing extreme climatic changes on a monthly scale and their implications for vegetation in Central Asia M. Luo et al. https://doi.org/10.1016/j.jclepro.2020.122396
47. Jet stream position explains regional anomalies in European beech forest productivity and tree growth I. Dorado-Liñán et al. https://doi.org/10.1038/s41467-022-29615-8
48. Recent increasing frequency of compound summer drought and heatwaves in Southeast Brazil J. Geirinhas et al. https://doi.org/10.1088/1748-9326/abe0eb
49. Using the International Tree-Ring Data Bank (ITRDB) records as century-long benchmarks for global land-surface models J. Jeong et al. https://doi.org/10.5194/gmd-14-5891-2021
50. Trends in climatically driven extreme growth reductions of Picea abies and Pinus sylvestris in Central Europe V. Treml et al. https://doi.org/10.1111/gcb.15922
51. Increasing susceptibility and shortening response time of vegetation productivity to drought from 2001 to 2021 J. Tang et al. https://doi.org/10.1016/j.agrformet.2024.110025
52. Heat wave hinders green wave: The impact of climate extreme on the phenology of a mountain grassland E. Cremonese et al. https://doi.org/10.1016/j.agrformet.2017.08.016
53. Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques M. Flach et al. https://doi.org/10.5194/esd-8-677-2017
54. Differential Imprints of Distinct ENSO Flavors in Global Patterns of Very Low and High Seasonal Precipitation M. Wiedermann et al. https://doi.org/10.3389/fclim.2021.618548
55. Critical thresholds for nonlinear responses of ecosystem water use efficiency to drought Y. Hu et al. https://doi.org/10.1016/j.scitotenv.2024.170713
56. Time Lag and Cumulative Effects of Extreme Climate on Coastal Vegetation in China T. Dong et al. https://doi.org/10.3390/rs16030528
57. LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description S. Schaphoff et al. https://doi.org/10.5194/gmd-11-1343-2018
58. Unpacking climate effects on boreal tree growth: an analysis of tree-ring widths across temperature and soil moisture gradients A. Lundgren et al. https://doi.org/10.5194/bg-22-6427-2025
59. A novel bias correction methodology for climate impact simulations S. Sippel et al. https://doi.org/10.5194/esd-7-71-2016
60. CoinCalc —A new R package for quantifying simultaneities of event series J. Siegmund et al. https://doi.org/10.1016/j.cageo.2016.10.004
61. Climate Extremes and Their Impacts on Interannual Vegetation Variabilities: A Case Study in Hubei Province of Central China W. Chen et al. https://doi.org/10.3390/rs10030477
62. The role of root-zone soil moisture in delaying vegetation responses to drought: Comparative insights from karst and non-karst areas Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.134216
63. Compound atmospheric and marine hot extremes coupled with droughts in Madagascar A. Russo et al. https://doi.org/10.1016/j.wace.2026.100884
64. Drought-related hot summers: A joint probability analysis in the Iberian Peninsula A. Ribeiro et al. https://doi.org/10.1016/j.wace.2020.100279
65. Differential impacts of compound dry- and humid-hot events on global vegetation productivity M. Liu et al. https://doi.org/10.3389/fenvs.2025.1597553
66. Drought causes reduced growth of trembling aspen in western Canada L. Chen et al. https://doi.org/10.1111/gcb.13595
67. Water surplus as a constraint on vegetation growth in Mainland Southeast Asia H. Li et al. https://doi.org/10.1016/j.jenvman.2026.129716
68. Record dry summer in 2015 challenges precipitation projections in Central Europe R. Orth et al. https://doi.org/10.1038/srep28334
69. Does climate opportunity facilitate smallholder farmers’ adaptive capacity in the Sahel? R. Lalou et al. https://doi.org/10.1057/s41599-019-0288-8
70. Influence of wood density in tree-ring-based annual productivity assessments and its errors in Norway spruce O. Bouriaud et al. https://doi.org/10.5194/bg-12-6205-2015
71. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. https://doi.org/10.1016/j.earscirev.2022.104241
72. A probabilistic risk assessment for the vulnerability of the European carbon cycle to weather extremes: the ecosystem perspective S. Rolinski et al. https://doi.org/10.5194/bg-12-1813-2015
73. Conifer quantitative wood anatomy as proxy data: application in agricultural yield reconstruction E. Babushkina et al. https://doi.org/10.1007/s00468-023-02437-x
74. Drought–heatwave nexus in Brazil and related impacts on health and fires: A comprehensive review R. Libonati et al. https://doi.org/10.1111/nyas.14887
75. Detecting the fingerprint of drought across Europe’s forests: do carbon isotope ratios and stem growth rates tell similar stories? T. Jucker et al. https://doi.org/10.1186/s40663-017-0111-1
76. Relating extreme precipitation events to atmospheric conditions and driving variables in China Q. Ou et al. https://doi.org/10.1007/s00382-024-07143-z
77. The Predominant Compound Extreme Events Inhibiting Vegetation Growth in China During the Past Two Decades M. Huang et al. https://doi.org/10.1002/joc.70028
78. Coupling Effects of Precipitation and Vegetation on Sediment Yield from the Perspective of Spatiotemporal Heterogeneity across the Qingshui River Basin of the Upper Yellow River, China J. Yang et al. https://doi.org/10.3390/f13030396
79. A triple tree-ring constraint for tree growth and physiology in a global land surface model J. Barichivich et al. https://doi.org/10.5194/bg-18-3781-2021
80. Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China S. Li et al. https://doi.org/10.3390/su13105748
81. A tree-ring perspective on temporal changes in the frequency and intensity of hydroclimatic extremes in the territory of the Czech Republic since 761 AD P. Dobrovolný et al. https://doi.org/10.5194/cp-11-1453-2015
82. Refining multi-model projections of temperature extremes by evaluation against land–atmosphere coupling diagnostics S. Sippel et al. https://doi.org/10.5194/esd-8-387-2017
83. Detecting impacts of extreme events with ecological in situ monitoring networks M. Mahecha et al. https://doi.org/10.5194/bg-14-4255-2017
84. Drought history affects grassland plant and microbial carbon turnover during and after a subsequent drought event L. Fuchslueger et al. https://doi.org/10.1111/1365-2745.12593
85. Reconstructing Larix sibirica dynamics based on dendroclimatology: century-scale simulation of growing season NDVI and future tree growth projections J. che et al. https://doi.org/10.3389/ffgc.2026.1662038