68 citations as recorded by crossref.

1. Modeling tree radial growth in a warming climate: where, when, and how much do potential evapotranspiration models matter? M. Dannenberg https://doi.org/10.1088/1748-9326/ac1292
2. VS-oscilloscope: A new tool to parameterize tree radial growth based on climate conditions V. Shishov et al. https://doi.org/10.1016/j.dendro.2015.10.001
3. An overview on isotopic divergences – causes for instability of tree-ring isotopes and climate correlations M. Savard & V. Daux https://doi.org/10.5194/cp-16-1223-2020
4. Response of Larix chinensis Radial Growth to Climatic Factors Using the Process-Based Vaganov–Shashkin-Lite Model at Mt. Taibai, China S. Li et al. https://doi.org/10.3390/f13081252
5. Assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the Northern Hemisphere M. Fang et al. https://doi.org/10.1002/joc.7528
6. Non-linear modelling reveals a predominant moisture limit on juniper growth across the southern Tibetan Plateau H. Jia et al. https://doi.org/10.1093/aob/mcac065
7. Climate Warming Alters Age-Dependent Growth Sensitivity to Temperature in Eurasian Alpine Treelines R. Sanchez-Salguero et al. https://doi.org/10.3390/f9110688
8. Disentangling the multi-faceted growth patterns of primary Picea abies forests in the Carpathian arc J. Björklund et al. https://doi.org/10.1016/j.agrformet.2019.03.002
9. An Artificial Neural Networks‐Based Tree Ring Width Proxy System Model for Paleoclimate Data Assimilation M. Fang & X. Li https://doi.org/10.1029/2018MS001525
10. Resist, recover or both? Growth plasticity in response to drought is geographically structured and linked to intraspecific variability in Pinus pinaster R. Sánchez‐Salguero et al. https://doi.org/10.1111/jbi.13202
11. Joint inversion of proxy system models to reconstruct paleoenvironmental time series from heterogeneous data G. Bowen et al. https://doi.org/10.5194/cp-16-65-2020
12. Climate field reconstruction uncertainty arising from multivariate and nonlinear properties of predictors M. Evans et al. https://doi.org/10.1002/2014GL062063
13. Stable oxygen isotope signatures of early season wood in New Zealand kauri ( Agathis australis) tree rings: Prospects for palaeoclimate reconstruction A. Lorrey et al. https://doi.org/10.1016/j.dendro.2016.03.012
14. Greening of Eurasia's center driven by low-latitude climate warming S. Wang et al. https://doi.org/10.1016/j.fecs.2025.100330
15. The Productivity of Low‐Elevation Juniper Forests in Central Asia Increased Under Moderate Warming Scenarios F. Chen et al. https://doi.org/10.1029/2021JG006269
16. cfr (v2024.1.26): a Python package for climate field reconstruction F. Zhu et al. https://doi.org/10.5194/gmd-17-3409-2024
17. Temporal changes in climatic limitation of tree-growth at upper treeline forests: Contrasted responses along the west-to-east humidity gradient in Northern Patagonia A. Lavergne et al. https://doi.org/10.1016/j.dendro.2015.09.001
18. Biogeographic, Atmospheric, and Climatic Factors Influencing Tree Growth in Mediterranean Aleppo Pine Forests J. Camarero et al. https://doi.org/10.3390/f11070736
19. Plant–Soil–Climate Interaction in Observed and Simulated Tree-Radial Growth Dynamics of Downy Birch in Permafrost M. Fonti et al. https://doi.org/10.3389/fpls.2022.780153
20. PRYSM: An open‐source framework for PRoxY System Modeling, with applications to oxygen‐isotope systems S. Dee et al. https://doi.org/10.1002/2015MS000447
21. Observed and projected impacts of climate on radial growth of three endangered conifers in northern Mexico indicate high vulnerability of drought-sensitive species from mesic habitats M. Pompa-García et al. https://doi.org/10.1016/j.dendro.2017.08.006
22. Is there a low-frequency bias in multiproxy reconstructions of tropical pacific SST variability? G. Loope et al. https://doi.org/10.1016/j.quascirev.2020.106530
23. Testing the performance of dendroclimatic process-based models at global scale with the PAGES2k tree-ring width database J. Rezsöhazy et al. https://doi.org/10.1007/s00382-021-05789-7
24. Spatial patterns of precipitation-induced moisture availability and their effects on the divergence of conifer stem growth in the western and eastern parts of China’s semi-arid region X. Zeng et al. https://doi.org/10.1016/j.foreco.2019.117524
25. Species specific vulnerability to increased drought in temperate and Mediterranean floodplain forests O. Pericolo et al. https://doi.org/10.1016/j.agrformet.2022.109238
26. Decoupled leaf-wood phenology in two pine species from contrasting climates: Longer growing seasons do not mean more radial growth J. Camarero et al. https://doi.org/10.1016/j.agrformet.2022.109223
27. Detection and removal of disturbance trends in tree-ring series for dendroclimatology M. Rydval et al. https://doi.org/10.1139/cjfr-2015-0366
28. Detecting dynamical anomalies in time series from different palaeoclimate proxy archives using windowed recurrence network analysis J. Lekscha & R. Donner https://doi.org/10.5194/npg-27-261-2020
29. Increasing moisture limitation of Norway spruce in Central Europe revealed by forward modelling of tree growth in tree-ring network J. Tumajer et al. https://doi.org/10.1016/j.agrformet.2017.07.015
30. Climate extremes and predicted warming threaten Mediterranean Holocene firs forests refugia R. Sánchez-Salguero et al. https://doi.org/10.1073/pnas.1708109114
31. Tree growth decline as a response to projected climate change in the 21st century in Mediterranean mountain forests of Chile V. Matskovsky et al. https://doi.org/10.1016/j.gloplacha.2020.103406
32. Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models J. Tipton et al. https://doi.org/10.1002/env.2368
33. Assessing forest vulnerability to climate warming using a process‐based model of tree growth: bad prospects for rear‐edges R. Sánchez‐Salguero et al. https://doi.org/10.1111/gcb.13541
34. Growth history revealed by tree rings provides clues for the conservation of an endangered subtropical tree species H. Jia et al. https://doi.org/10.3389/fpls.2026.1868379
35. Forward modeling of tree-ring width improves simulation of forest growth responses to drought M. Mina et al. https://doi.org/10.1016/j.agrformet.2016.02.005
36. Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies P. Breitenmoser et al. https://doi.org/10.5194/cp-10-437-2014
37. Inferring climate variability from nonlinear proxies: application to palaeo-ENSO studies J. Emile-Geay & M. Tingley https://doi.org/10.5194/cp-12-31-2016
38. 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
39. Frequencies of Multivariate Air Masses Drive Tree Growth C. Lee & M. Dannenberg https://doi.org/10.1029/2022JG007064
40. A Bayesian hierarchical model for reconstructing relative sea level: from raw data to rates of change N. Cahill et al. https://doi.org/10.5194/cp-12-525-2016
41. Shifts in Growth Responses to Climate and Exceeded Drought-Vulnerability Thresholds Characterize Dieback in Two Mediterranean Deciduous Oaks R. Sánchez-Salguero et al. https://doi.org/10.3390/f11070714
42. Drought, axe and goats. More variable and synchronized growth forecasts worsening dieback in Moroccan Atlas cedar forests J. Camarero et al. https://doi.org/10.1016/j.scitotenv.2020.142752
43. Global Demonstration of Local Liebig's Law Behavior for Tree‐Ring Reconstructions of Climate A. Stine https://doi.org/10.1029/2018PA003449
44. Climate sensitivity of seasonal radial growth in young stands of Mexican conifers M. Pompa-García et al. https://doi.org/10.1007/s00484-022-02312-3
45. Long- and short-term impacts of climate and dry-season on wood traits of Cedrela fissilis Vell. in southern Brazilian Amazon D. Ortega Rodriguez et al. https://doi.org/10.1016/j.agrformet.2023.109392
46. Towards the assimilation of tree-ring-width records using ensemble Kalman filtering techniques W. Acevedo et al. https://doi.org/10.1007/s00382-015-2683-1
47. The spectrum of Asian Monsoon variability: A proxy system model approach to the hydroclimate scaling mismatch G. Loope et al. https://doi.org/10.1016/j.quascirev.2020.106362
48. Greater sensitivity to hotter droughts underlies juniper dieback and mortality in Mediterranean shrublands R. Sánchez-Salguero & J. Camarero https://doi.org/10.1016/j.scitotenv.2020.137599
49. Removal of a non-climatically induced seven-year cycle from Nothofagus pumilio tree-ring width chronologies from Tierra del Fuego, Argentina for their use in climate reconstructions V. Matskovsky et al. https://doi.org/10.1016/j.dendro.2019.125610
50. Calibration and Validation of Environmental Controls on Planktic Foraminifera Mg/Ca Using Global Core‐Top Data C. Saenger & M. Evans https://doi.org/10.1029/2018PA003507
51. Climate change detection and attribution using observed and simulated tree-ring width J. Franke et al. https://doi.org/10.5194/cp-18-2583-2022
52. A pseudoproxy emulation of the PAGES 2k database using a hierarchy of proxy system models F. Zhu et al. https://doi.org/10.1038/s41597-023-02489-1
53. How can the parameterization of a process-based model help us understand real tree-ring growth? I. Tychkov et al. https://doi.org/10.1007/s00468-018-1780-2
54. Divergent growth patterns and climate constraints of Scots pine across three typical climate types in Eurasia J. Li et al. https://doi.org/10.1016/j.fecs.2026.100495
55. An interpreted language implementation of the Vaganov–Shashkin tree-ring proxy system model K. Anchukaitis et al. https://doi.org/10.1016/j.dendro.2020.125677
56. Ecological and conceptual consequences of Arctic pollution A. Kirdyanov et al. https://doi.org/10.1111/ele.13611
57. A pseudoproxy assessment of data assimilation for reconstructing the atmosphere–ocean dynamics of hydroclimate extremes N. Steiger & J. Smerdon https://doi.org/10.5194/cp-13-1435-2017
58. Probabilistic reconstructions of local temperature and soil moisture from tree-ring data with potentially time-varying climatic response S. Tolwinski-Ward et al. https://doi.org/10.1007/s00382-014-2139-z
59. Plastic bimodal growth in a Mediterranean mixed-forest of Quercus ilex and Pinus halepensis F. Campelo et al. https://doi.org/10.1016/j.dendro.2021.125836
60. Simulating tree growth response to climate change in structurally diverse oak and beech forests `. de Wergifosse et al. https://doi.org/10.1016/j.scitotenv.2021.150422
61. Proxy surrogate reconstructions for Europe and the estimation of their uncertainties O. Bothe & E. Zorita https://doi.org/10.5194/cp-16-341-2020
62. Past climates inform our future J. Tierney et al. https://doi.org/10.1126/science.aay3701
63. Intra‐Annual Climate Anomalies in Northwestern North America Following the 1783–1784 CE Laki Eruption J. Edwards et al. https://doi.org/10.1029/2020JD033544
64. Global fading of the temperature–growth coupling at alpine and polar treelines J. Camarero et al. https://doi.org/10.1111/gcb.15530
65. Bayesian multiproxy temperature reconstruction with black spruce ring widths and stable isotopes from the northern Quebec taiga F. Gennaretti et al. https://doi.org/10.1007/s00382-017-3565-5
66. Application and evaluation of the dendroclimatic process-based model MAIDEN during the last century in Canada and Europe J. Rezsöhazy et al. https://doi.org/10.5194/cp-16-1043-2020
67. Climate Differently Impacts the Growth of Coexisting Trees and Shrubs under Semi-Arid Mediterranean Conditions J. Camarero et al. https://doi.org/10.3390/f12030381
68. Process representation of conifer tree-ring growth is improved by incorporation of climate memory effects X. ZENG et al. https://doi.org/10.1016/j.agrformet.2022.109196